Fatemeh Saghafi; Ahmad Jafarnejad; Manochehr Manteghi; Seyyed Javad Mousavo
Abstract
The use of ecosystem metaphor in different branches of management, business, innovation and entrepreneurship, are growing increasingly. The evolution property of ecosystems has highlighted. The aim of this study is to identify the stages of the evolution of business ecosystems. The major of previous ...
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The use of ecosystem metaphor in different branches of management, business, innovation and entrepreneurship, are growing increasingly. The evolution property of ecosystems has highlighted. The aim of this study is to identify the stages of the evolution of business ecosystems. The major of previous studies about ecosystem’s evolution are based on case studies and affected by context. Then they are not generalizable. In this study we present a comprehensive model for evolution stages of industrial business ecosystems by qualitative Meta synthesis approach. 16 studies are identified by literature review that they were about evolution stages. Then 105 codes were extracted and translated in 19 conceptions and a 4 stages model was presented. This model, by highlighting the value chain and industrial platforms, is a good model for industrial business ecosystems. Also industrial researchers can use it to design a pattern for a special industrial ecosystem, or they can use it for studying and evaluating of the existent industrial ecosystems.
Bahman Hatami Naghani; Masoud Abessi
Abstract
In this research, text mining technique has been applied to analyze the content of scientific articles, also to represent a model for classifying the articles (the first class is comprised of the articles observing predetermined criteria's, and the second one consists of those inattentive). To ...
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In this research, text mining technique has been applied to analyze the content of scientific articles, also to represent a model for classifying the articles (the first class is comprised of the articles observing predetermined criteria's, and the second one consists of those inattentive). To meet these objectives, in the current research, the experts' ideas have been used to elicit qualitative criteria, and 15 final criteria's were ultimately picked up. In the next phase, 18 scientific articles in industrial engineering scope were studied by university professors and PHD students (with regard to 15 elicited criteria), and beneficial results were derived. In the end, different classification models were applied to classify the articles and with the aid of some specific techniques, we tried to improve these models. Finally, we compare the models to choose the best one. The aim of this research is to get some general criteria for analyzing the content of articles, propose different classification models for classifying the scientific articles whit regard to predetermined criteria's, and choose the best model. Finally, as a result, 15 final criteria's also different classification models with appropriate accuracy, were ultimately picked up.
Alireza Hasan Zadeh; Amir Khorasani
Abstract
Nowadays, the importance of studies in customers’ behavior and attitude has been proved. Customer loyalty and its influencing factors in the world of e-commerce are being evaluated from different point of view. Nevertheless, little awareness of e-commerce factors from customers or service providers ...
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Nowadays, the importance of studies in customers’ behavior and attitude has been proved. Customer loyalty and its influencing factors in the world of e-commerce are being evaluated from different point of view. Nevertheless, little awareness of e-commerce factors from customers or service providers is a major barrier to the adoption of this business in Iran. On the other hand, the frequent use of vague terms such as "High quality websites" which does not have accurate and standard meanings between different people is another problem in understanding the factors affecting electronic loyalty. In this research, firstly factors influencing e-loyalty was studied and then fuzzy inference engine was designed using fuzzy logic and fuzzy rules were extracted. Comparing the rules with 2 websites as a real-world example showed the correctness of the proposed rules. The results showed that in the field of customer loyalty, it is necessary to consider the principles and concepts of Herzberg Health and Motivation theory in order to adopt the correct strategy in electronic business management.
Gholamreza Jamali ; Seyyed Esmaeil Mousavi; Masoumeh Mohammadi
Abstract
The aim of this research is to analyze the relationship among Internet of Things (IoT) application factors in supply chain of home appliances industry using Fuzzy Cognitive Map (FCM). The statistical population consisted of experts in home appliance business in Bushehr province. These experts were aware ...
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The aim of this research is to analyze the relationship among Internet of Things (IoT) application factors in supply chain of home appliances industry using Fuzzy Cognitive Map (FCM). The statistical population consisted of experts in home appliance business in Bushehr province. These experts were aware of the concept of IoT and supply chain management, out of which 10 were selected. First, after reviewing the literature 38 factors were identified and then using Delphi technique and experts opinion these factors were classified into 9 groups including: product, operational processes, inventory, economics, suppliers, technical support, information, customer, and organization mission. Using Fuzzy Cognitive Map, the results show that all relationship between IoT application factors was positive and information as the most important factor that directly effects on all other factors. The results also show that customer factor was placed in the second ranked. So, home appliance industry managers should increase their competitive ability by better planning and automating processes, optimizing operations, improving customer services, and increasing capital return across the supply chain.
Abolfazl Tajzadeh-Namin; Aidin Tajzadeh-Namin; Pantea Salehi Sadaghiani; Mohammad Reza Taghva
Volume 1, Issue 3 , June 2014, , Pages 139-164
Abstract
Tourism is an information intensive industry. In the current article the effectsand transformations that the information and communication technologies arecreated in the tourism network in the cases such as the omission of the intermediariesand providing information, creating the relation among players ...
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Tourism is an information intensive industry. In the current article the effectsand transformations that the information and communication technologies arecreated in the tourism network in the cases such as the omission of the intermediariesand providing information, creating the relation among players inthe value chains of tourism industry (ie. Travel and hospitality) and particularlyconsumers, providing the travel packages in a flexible and customized manner,is referred. For further manifestation of the article topic, a survey study isdone, based on a structured questionnaire, from a sample of 100 foreign (international)tourists who are visiting the national museum of Tehran, regardingto their internet usage in the area of tourism.The research findings show thatforeign tourists use the internet in different ways. However, respecting totheir age and needs, their usage is different. But in the cases such as organizingthe holiday, factors influencing destination choice, accessing the internetfrom home, ways to make a booking, using internet for different purposesduring holiday, sharing the holiday experiences with others, the most importantusage of internet in the tourism industry and tourism providers, the wayof booking from tourism organization, types of tourism organization usinginternet and the functions of tourists mostly using internet, the results give abetter understanding of their behavior
Leila Ebrahimi; Vahid Reza Mirabi; Mohammad Hossein Ranjbar; Esmaeil Hassan Pour
Abstract
The main objective of this research is to provide a customer loyalty model for e-commerce recommender systems. The proposed model is developed using Delone and McLean Information System success model and a set of factors which are identified from the literature. To test the research hypotheses of the ...
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The main objective of this research is to provide a customer loyalty model for e-commerce recommender systems. The proposed model is developed using Delone and McLean Information System success model and a set of factors which are identified from the literature. To test the research hypotheses of the developed model, a questionnaire survey is conducted and the data is collected from the 384 customers in a B2C website. We used SPSS and SmartPLS software for descriptive statistics and path analyses and to verify the proposed model. The result of the Structural Equations Modeling showed that trust has a significant relationship with the customers’ satisfaction in the e-commerce recommendation systems. In addition, the results revealed that satisfaction with the recommended products can improve the customers’ loyalty in the B2C recommendation systems. The proposed model will help the e-commerce managers to improve their website recommendation systems and increase the sale of the products by achieving the customers’ loyalty in the online shopping websites.
Alireza Peykam; Khodakaram Salimifard
Abstract
Security of information systems as a new area of information technology is of a great importance in creating confidence and growth in the use of information systems. Although in recent years many researchers and IT experts have focused on the technical aspects of security, but less attention has been ...
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Security of information systems as a new area of information technology is of a great importance in creating confidence and growth in the use of information systems. Although in recent years many researchers and IT experts have focused on the technical aspects of security, but less attention has been paid to its organizational and managerial aspects. To investigate the factors affecting on the creating and maintaining of security of information systems, this study identifies the inter-organizational factors. Then, by designing a questionnaire and using Fuzzy Analytic Hierarchical Process (FAHP) technique, the weights and ranks of factors are calculated. The results show that human factor is the most important inter-organizational factor that influences information systems security. Also, the lack of information about the value and importance of information is identified as the most important sub factor.
Seyed Mohammadbagher Jafari; Asef Karimi; Zahede i Abarghou
Abstract
رSocial networks are a new generation of social relationship area that despite short lifetime, have been able to play an important role in people’s life.Given the importance and presence of social networks in today lives and growing their influence and impact, understanding of user behavior patterns ...
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رSocial networks are a new generation of social relationship area that despite short lifetime, have been able to play an important role in people’s life.Given the importance and presence of social networks in today lives and growing their influence and impact, understanding of user behavior patterns has become interesting subjects of researches. The aim of this study is to investigate the factors affecting on continuance intention to use online social network websites and LinkedIn was chosen as a specialized social network in this research. The population was all of Iranian members of LinkedIn. The random available sampling was used and 352 questionnaires were collected and analyzed. The hypotheses were tested with using structural equation modeling. After variable factor analysis and the relations between variables and their impact on each other were examined through path analysis. Social effects, content, value, ease of use, the tie strength and satisfaction from social networks have been identified as factors affecting on continuance intention to use of social network websites. Meanwhile the satisfaction with higher path coefficient has a stronger impact than other factorsSocial networks are a new generation of social relationship area that despite short lifetime, have been able to play an important role in people’s life.Given the importance and presence of social networks in today lives and growing their influence and impact, understanding of user behavior patterns has become interesting subjects of researches. The aim of this study is to investigate the factors affecting on continuance intention to use online social network websites and LinkedIn was chosen as a specialized social network in this research. The population was all of Iranian members of LinkedIn. The random available sampling was used and 352 questionnaires were collected and analyzed. The hypotheses were tested with using structural equation modeling. After variable factor analysis and the relations between variables and their impact on each other were examined through path analysis. Social effects, content, value, ease of use, the tie strength and satisfaction from social networks have been identified as factors affecting on continuance intention to use of social network websites. Meanwhile the satisfaction with higher path coefficient has a stronger impact than other factors
Behzad Moghimi Shahri; Seyyed Ali Ayazi
Abstract
Today, industry managers should create programs to enhance the quality of products and to increase their market share by improving their production operations. In the present time, the use of Information Technology (IT) has become one of the most important ways to improve the production process. ...
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Today, industry managers should create programs to enhance the quality of products and to increase their market share by improving their production operations. In the present time, the use of Information Technology (IT) has become one of the most important ways to improve the production process. In this regard, the identification of factors affecting on IT in leading industries becomes more apparent than before. The aim of this study is to investigate the effective factors on innovative manufacturing industries and to examine the relationship between applied aspects of information technology in innovative industries located in Industrial Park South of Tehran. To test the hypotheses, the path analysis and partial least squares were used. Data related to this study, was collected using questionnaires filled out by 27 experts including senior executives of purchase, sale and production in the 9 largest manufacturing companies located in Industrial Park South of Tehran Results showed the high impact of the merger (creation of IT department within the company) and the aggressive aspect of information on the application of IT as well as positive impact of business processes, efficiency and value creation for the customers on the creative production.
Morteza Maleki MinBashRazgah; Davood Feiz; Hadi Moradi
Abstract
The expansion of digital business is along with opportunities and challenges, one of the most important challenges is the negative information about the brands. Marketing managers task is to reinforce the resilience of customers towards this negative information. On the other hand, in the two last decades, ...
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The expansion of digital business is along with opportunities and challenges, one of the most important challenges is the negative information about the brands. Marketing managers task is to reinforce the resilience of customers towards this negative information. On the other hand, in the two last decades, most of research in field of brand personality and experience has focused on their definitions and traits and this study by concentrating on personality and experience created on digital environment tries to examine their effects on consumers’ actual behavior through mediating role of brand attitude and brand loyalty. Based on the hypothesis conceptual model of the research was designed and by using questionnaire 311 users of the service delivery applications were collected. After verifying the validity and reliability, the hypotheses were tested using SEM. The results showed that brand personality and online brand experience have direct effect on customers’ brand attitude and brand loyalty, which brand experience effect is more than brand personality. Also, the results confirm brand attitude and brand loyalty effect on customers' resilience to negative information. If a brand in online environment deliver a unique and desirable experience and attractive personality to consumers, it can have positive effect on consumers extra-role behavior in social media, these consumers will support and discuss positively of brand in social media. The results of research can be useful for managers and marketers who search for create and maintain long-term relationship with consumers.
Mahdi Farmani; Mohammad Ghaffari; Mostafa Zandi Nasab
Abstract
Creating a great user experience is one of the main goals of online stores, which actually enables them to create a lasting competitive advantage. The user experience is also one of the valuable and innovative sources of information for designing recommender systems. Given the competitive world of commerce ...
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Creating a great user experience is one of the main goals of online stores, which actually enables them to create a lasting competitive advantage. The user experience is also one of the valuable and innovative sources of information for designing recommender systems. Given the competitive world of commerce and the high similarity of goods and services, and considering the important role of the user experience and actually creating a positive impression in the user's mind, this study aims to determine the backgrounds and consequences of user experience from recommender systems in Online environments are done. The methodology of the present study is synthetic. In the qualitative section, 20 experts were selected through semi-structured interviews through purposeful judgment sampling. Then based on qualitative data content analysis, the initial research model was presented. In the quantitative part of the study, the statistical population of the study included all users and customers of the Digikala store that used its services in March and April 2019. For this purpose, 384 samples were selected by available sampling method. LISREL software was used to analyze the data in a small section and the hypotheses were confirmed. The results indicate that there are five main categories of background factors including perceived impact experience, perceived ease of experience, perceived quality experience, perceived support experience, and perceived external experience. Perceived attitudes, perceived value, perceived trust, and perceived satisfaction were also presented as consequences of the user experience of the recommender system in online environments.
Parvin Afshar; Mohammad Jalili; Alireza Aghighi
Abstract
In mushroom industry and its conversion industries, the variety of products (food / pharmaceutical) is very high, the target market is wide, financial and non-financial resources are limited, accurate identification of profitable customers is time consuming, so traditional marketing methods Cognition ...
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In mushroom industry and its conversion industries, the variety of products (food / pharmaceutical) is very high, the target market is wide, financial and non-financial resources are limited, accurate identification of profitable customers is time consuming, so traditional marketing methods Cognition is not effective enough in attracting and retaining real customers, so adopting smart marketing strategies is a major challenge in industry. The aim of study was to provide a neuromarketing intelligent model to convert potential market to actual market in the IRAN mushroom and its conversion industries. In this applied and qualitative research, through purposive sampling, semi-structured interviewed with 12 experts of neurologist, marketing and mushroom industry. According to Grounded theory, 411 open codes, 246 core codes, 67 sub-categories and 24 main categories were identified as paradigm model. The model validation was confirmed in a quantitative part by SEM in smart-pls. The results showed that main phenomenon consists of three components of senses (physiological characteristics), product personality, product social features. Therefore, through attention and application of the present paradigm model, the emphasis on recognizing the physiological personality and social characteristics of the product leads to a greater understanding of the benefits of neuromarketing applications in the mushroom industry and its conversion industries to turn the potential market into an actual market.
Mohammad Reza Taghva; Mohammad Mehrabioun Mohammadi; Ahad Zare Ravasan; Amir Arzi Soltan
Abstract
This research aims at associating two groups of demographic and transaction related factors and furthermore, proposes customer churn factor as another influential factor in customer value analysis. To this end, at first, customers' transaction data in a real local ISP in a four year period are utilized ...
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This research aims at associating two groups of demographic and transaction related factors and furthermore, proposes customer churn factor as another influential factor in customer value analysis. To this end, at first, customers' transaction data in a real local ISP in a four year period are utilized for segmentation purpose using k-means method. Regarding service nature of the case, customers' behavior has been considered in terms of customer satisfaction factors. The results of Exploratory Factor Analysis (EFA) indicate that three factors of service quality, expectation confirmation and post-purchasing satisfaction are influential factors. Then, association rules using GRI algorithm are exploited in order to investigate among customers' behaviors and propose appropriate strategies and action plans for each customer segment. Finally, segmentation results are associated with physiographic variables and existence of a significant difference among identified segments is more investigated using one way ANOVA test. The results clarified that expectation confirmation and post- purchasing satisfaction as hygienic factors and service quality as an incentive factor influence customer loyalty.
Mohammad Hadi KhorashadiZadeh; Hasan Mehrmanesh; Jalal HaghighatMonfared
Abstract
The importance of knowledge and knowledge-based activities in the present era is quite clear for any organization. All organizations have a large amount of information, but efficient use of information depends on the availability of efficient and specialized human resources capable of working ...
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The importance of knowledge and knowledge-based activities in the present era is quite clear for any organization. All organizations have a large amount of information, but efficient use of information depends on the availability of efficient and specialized human resources capable of working with the organization's information in order to achieve the organization’s goal. Focusing on the importance of knowledge in realm of current organizational activities, the current research aims to identify the factors affecting the knowledge sharing in project teams. The present study is a qualitative research that uses exploratory and survey research method. The statistical population of the study consisted of all experts working in Hamkaran System Group companies. Sample size was determined to be 17 using simple snowball non-randomized sampling method. For data analysis, Grounded Theory approach and 3 stages of open, axial and selective coding were used. Based on the analyzed data, 23 codes were selected as axial categories. Involvement in the knowledge sharing program was considered as a key code or category in the considered model. The paradigmatic model was used to analyze the 23 factors identified in order to explain the knowledge sharing model.
Seyyed Jalaladdin Hosseini Dehshiri; Jalil Heydari Dehooei.Zohrabi
Abstract
Uncertainty is inherent and inevitable component of projects. Research literature suggests that Information Technology (IT)projects and, in particular, outsourcing of these projects are at high risk. Therefore, according to the importance of this field, this study aimed to identify and prioritize ...
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Uncertainty is inherent and inevitable component of projects. Research literature suggests that Information Technology (IT)projects and, in particular, outsourcing of these projects are at high risk. Therefore, according to the importance of this field, this study aimed to identify and prioritize the risks of outsourcing IT projects. Initially, by reviewing the research, a list of identified criteria was provided to the company's experts. Then, the criteria were selected after the scrutiny case study and according to the experts' opinion with the fuzzy Delphi method. In the next step, based on SWARA method, the final weights of the criteria were obtained. Also, after reviewing the literature, a list of important risks for outsourcing IT projects was identified. Then, for the prioritization of the identified risks, ARAS gray method was used. The results showed that the criterion of sharing knowledge and experience as the most important criterion and loss of resources of competitive advantage was identified as the most important risk.
Nozar Ebrahimi Lame; Fatemeh Saghafi; Majid Gholipour
Abstract
Recommendation systems are one of the most essential tools for e-commerce intelligence. These systems with different types of data filtering methods are able to offer the best recommendations from a multitude of selectable items. Collaborative Filtering is the most widely used method of filtering data ...
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Recommendation systems are one of the most essential tools for e-commerce intelligence. These systems with different types of data filtering methods are able to offer the best recommendations from a multitude of selectable items. Collaborative Filtering is the most widely used method of filtering data to make recommendations. One of the advanced models for predicting ratings in the Collaborative Filtering is the Singular Value Decomposing (SVD). In this paper, an optimized model of the film recommending system based on the SVD method is developed, which while reducing the dimensions of the matrices and the volume of computations and memory, and with iteration replacement method, has appropriate accuracy compared with other methods. For this research, a set of 100k Movie Lens datasets and Python programming have been used. Evaluation of error rate with root mean square error (RMSE) and mean absolute error (MAE) value shows a good improvement over similar methods in other references.vv
Seyed Hamid Khodadad Hosseini; Mohammadreza Asadollahi
Abstract
While E-Commerce is growing rapidly in the world, food industry is also finding its position in this growing field. Today, with introduction of new business models, traditional marketing definitions are changed. Marketing is one of organizational systems and/or one of the most important processes of ...
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While E-Commerce is growing rapidly in the world, food industry is also finding its position in this growing field. Today, with introduction of new business models, traditional marketing definitions are changed. Marketing is one of organizational systems and/or one of the most important processes of business organizations for gaining goals and satisfying consumer needs. Therefore, the age of communication developments, in the form of influences caused by E-commerce expansion, induced significant changes in marketing. The main aim of this research is to survey restaurant consumer attitudes toward food online shopping. This research, in terms of goal and methodology, is developmental-applied and descriptive-survey, respectively. Regarding data collection, specified interviews are used for extracting factors or indicators which are less mentioned in theoretical foundation. Also, questionnaire is developed to collect data from statistical population. Meanwhile, sample size is 384. To analyze data, Structural Equation Modeling is used. Finally, based on the obtained results, 6 research hypotheses are accepted while one is rejected. Hypotheses related to the positive and significant relationship between order trend, conceived utility, innovations, promotions and trust in online food ordering with consumer perceptions about online food ordering, and effect of consumer perceptions about online food ordering on consumer behavior are accepted. Hypothesis about the relation between external factors and consumer perception about online food ordering is rejected.v
Hassan Rangriz; Zahra Bayrami Shahrivar
Abstract
With the expansion of the Internet, various tools have been used to communicate with customers in organizations, and organizations use different E-CRM methods to create competitive advantages. Since customer loyalty is critical to achieving competitive advantage and profitability for organizations, one ...
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With the expansion of the Internet, various tools have been used to communicate with customers in organizations, and organizations use different E-CRM methods to create competitive advantages. Since customer loyalty is critical to achieving competitive advantage and profitability for organizations, one of the goals of organizations in using E-CRM is to maintain and increase customer loyalty. Therefore, considering the importance of the impact of various E-CRM services on customers’ loyalty, the purpose of this study is to investigate the impact of E-CRM on the loyalty of Bank Mellat customers using data mining techniques. The data required for this research were extracted from Bank Mellat databases. Data mining techniques include clustering with K-means algorithm and neural networks (using error-relay algorithm) and LRFM model through programming in MATLAB and Excel software were used to analyze the data. The results showed that with increasing use of E-CRM services, customers’ loyalty increases. The relationship between E-CRM, the components of LRFM model, and loyalty is a nonlinear and the change in loyalty as E-CRM changes is not a constant. The increase in loyalty is a function of LRFM components, the amount of E-CRM and weights obtained in the neural network.
Saeid Bakhtiari; Esmaeil Zareh
Abstract
P network architecture is fragile from security point of view, and Voice over IP (VoIP), which uses the standards of this network, is vulnerable to multiple attacks that reduce the quality and, in some cases, disconnect services and waste VoIP resources. In this regard, VoIP security is essential, and ...
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P network architecture is fragile from security point of view, and Voice over IP (VoIP), which uses the standards of this network, is vulnerable to multiple attacks that reduce the quality and, in some cases, disconnect services and waste VoIP resources. In this regard, VoIP security is essential, and typically the implementation of security solutions in systems such as VoIP will slow down and reduce the quality of performance and increase the costs of upgrade and maintenances. Therefore, IT managers should consider high-security security solutions. To do this, by reviewing the research literature, VoIP comprehensive security matrix has been extracted from a comprehensive list of VoIP security challenges and coping strategies that make a significant contribution to the intelligence and risk management of organizations. The results obtained showed that the implementation of 3 strategies including "Separation of Voice and Data Traffic VLANs", "Signaling Authentication" and "Port Authentication" would have the most positive impact on Amin Police University VoIP security. The results are consistent with the recommendations and security countermeasures mentioned by previous research and security institutions, and only the proposed priorities are different. Therefore, in strategic IT planning, decision making, and supervision of IT managers, the three mentioned strategies should be considered as a priority for VoIP applicationIP network architecture is fragile from security point of view, and Voice over IP (VoIP), which uses the standards of this network, is vulnerable to multiple attacks that reduce the quality and, in some cases, disconnect services and waste VoIP resources. In this regard, VoIP security is essential, and typically the implementation of security solutions in systems such as VoIP will slow down and reduce the quality of performance and increase the costs of upgrade and maintenances. Therefore, IT managers should consider high-security security solutions. To do this, by reviewing the research literature, VoIP comprehensive security matrix has been extracted from a comprehensive list of VoIP security challenges and coping strategies that make a significant contribution to the intelligence and risk management of organizations. The results obtained showed that the implementation of 3 strategies including "Separation of Voice and Data Traffic VLANs", "Signaling Authentication" and "Port Authentication" would have the most positive impact on Amin Police University VoIP security. The results are consistent with the recommendations and security countermeasures mentioned by previous research and security institutions, and only the proposed priorities are different. Therefore, in strategic IT planning, decision making, and supervision of IT managers, the three mentioned strategies should be considered as a priority for VoIP application
Rezvan Yaghobi; Mahdi Yaghobi; Hassan khotanloue
Abstract
Plagiarism is removal and to put it in their own name the ideas or words of others. With the Increasing progress of the Internet and the proliferation of online articles, scientific theft has also become easier. Many systems have been developed today to detect plagiarism. Most of these systems are based ...
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Plagiarism is removal and to put it in their own name the ideas or words of others. With the Increasing progress of the Internet and the proliferation of online articles, scientific theft has also become easier. Many systems have been developed today to detect plagiarism. Most of these systems are based on lexical structure and string matching algorithms. Therefore, these systems can hardly detect recovery robberies, placement of synonyms. This paper presents a method for identifying plagiarism based on semantic role labeling and cellular learning automata. In this paper, cellular learning automata are used to locate the processed words. Semantic role labeling specifies the role of words in sentence. Comparison operations are performed for all sentences of the original text and suspicious text. Results of the experiments on PAN-PC-11 corpus demonstrate the proposed method improves values of evaluation parameters such as recall, precision and F-measure, comparing to previous approaches in plagiarism detection.
Data science, intelligence and future analysis
mehdi mohammadiraz; maryam sharif nejad; Mohammad Hassan Fotros
Abstract
AbstractAmong the growth and development of businesses, managing financial flows and increasing its effectiveness is an important achievement that causes value stability, efficiency of systems and procedures throughout the chains of Business. Therefore, paying attention to uncontrollable and controllable ...
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AbstractAmong the growth and development of businesses, managing financial flows and increasing its effectiveness is an important achievement that causes value stability, efficiency of systems and procedures throughout the chains of Business. Therefore, paying attention to uncontrollable and controllable variables that lead to value creation is inevitable. The purpose of this study is to study the impact of social and biological factors (production and recycling of polymer parts) of environment on the value creation of the company along the supply chain. Also the key role of financial ratios has also been considered in this regard.The present research is of quantitative and applied types and is based on mathematical modeling. It is the result of a combination of genetic algorithms and Simulated Annealing. The financial analysis parameters of the model include current ratios, debt to equity, Instantaneous ratio, net profit margin, cash ratio and rate of return. The analysis of the results shows that considering financial goals and indicators leads to improved profitability and by removing financial indicators from the model, profitability is reduced. Therefore,this is means that the environmental and social performance of the supply chain is improved.Companies can pay special attention to social issues and environmental factors along with their profitability Increase their economic value. Profitability can also be improved by exposing social responsibilities and the mission of environmental protection.IntroductionAmong the growth and development of businesses, managing financial flows and increasing its effectiveness is an important achievement that causes value stability, efficiency of systems and procedures throughout the chains of Business. Therefore, paying attention to uncontrollable and controllable variables that lead to value creation is inevitable. The purpose of this study is to study the impact of social and biological factors (production and recycling of polymer parts) of environment on the value creation of the company along the supply chain. Also the key role of financial ratios has also been considered in this regard.The present research is of quantitative and applied types and is based on mathematical modeling. It is the result of a combination of genetic algorithms and Simulated Annealing. The financial analysis parameters of the model include current ratios, debt to equity, Instantaneous ratio, net profit margin, cash ratio and rate of return. The analysis of the results shows that considering financial goals and indicators leads to improved profitability and by removing financial indicators from the model, profitability is reduced. Therefore,this is means that the environmental and social performance of the supply chain is improved.Companies can pay special attention to social issues and environmental factors along with their profitability Increase their economic value. Profitability can also be improved by exposing social responsibilities and the mission of environmental protection.Literature ReviewIn the literature review of the research, various factors such as economic issues, laws and regulations, social responsibility, and stakeholder pressures have been given as drivers to lead organizations to implement sustainable supply chain management infrastructure. In some cases, issues such as climate change,factors related to environmental issues and social parameters are ignored. This factor caused criticism in the conventional accounting topics and the topic was raised under the title of environmental management accounting and sustainability, environmental and social accounting) Schaltegger et al. 2013(. The drivers of the organization's movement towards a sustainable supply chain are different from the point of view of the final customer, government institutions, private organizations and legislative institutions. Laws and regulations are the main driver that dictates environmental issues to organizations. On the other hand, some organizations implement these laws in order to increase profitability or customer requests (Ko,Evans et al., 2016). The market and competitors are one of the drivers of the organization towards the adoption of sustainable supply chain management. In today's global business, the competition between organizations is very intense, and in order to impress customers, organizations need to put themselves in a position of superiority over their competitors. Being environmentally friendly and adapting to environmental requirements and paying attention to the organization's social responsibilities is a way to differentiate from other competitors. If competitors have benefited from sustainable supply chain management, the company will be under more pressure to establish sustainable supply chain management(Jian Zhang et al., 2021). In another article, it is suggested that through research in the field of supply chain management and corporate social responsibility, a hierarchical structure of supply chain management is proposed and a multipurpose measurement scale is presented to show the specific management practices of supply chain management(Zhang et al., 2019).MethodologyThe research methodology and the stages of its completion are in the category of quantitative and applied research. Considering that the purpose of applied research is to improve the product or process and test theoretical concepts in real problem situations, the purpose of this research is also to develop practical knowledge in the field of investigating the effects of environmental performance and social parameters along with financial flows on the profitability of the company and its chains. The supply is stable. Therefore, while studying the theoretical background of the research, the research problem is firstly expressed conceptually and then by means of a mathematical model, and in the next step, the mathematical model is solved and the data and results are analyzed. Research data is collected by field method and interviews with experts. To solve the model, the memetic hybrid algorithm has been used.ResultsIn this research, a three-objective mixed integer linear programming model for optimizing financial flows in a sustainable supply chain was presented. The goals of the model include three economic, social, bio-environmental and financial dimensions, and the functions of each are complementary. Although these dimensions depend on each other and affect the performance of others, it is necessary to make a single decision and manage how to implement each of these dimensions in a way that has the highest efficiency. Based on the surveys and analyzes of the research and its results, we state that paying attention to economic goals and financial factors leads to the improvement of profitability. On the other hand, if in the supply chain we only seek to improve the functioning of the environment and social factors, the profitability of the profit-making unit will decrease. In this research, we examined the simultaneity of the mentioned factors in order to realize more value and to improve the financial flows in the supply chain, we analyzed the different financial ratios that are needed by the decision makers in each organization.To analyze the sensitivity of the model, the waste loss rate index was used and it was observed that no matter how much the product loss rate increases in the collection of waste, it causes the profit function to decrease accordingly. The same issue has been proven to reduce negative environmental and social effects.
Management approaches in the field of smart
Manuchehr Karbasi; Ghanbar Abbaspour Esfeden; Seyedeh Sedigheh Jalalpour; Peyman HajiZadeh
Abstract
AbstractNowadays, the development of science and technology parks and improving their performance depends on cooperation with industry and university and communication with the environment and related centers. Hence, it is important to identify cooperation network and networking indicators in science ...
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AbstractNowadays, the development of science and technology parks and improving their performance depends on cooperation with industry and university and communication with the environment and related centers. Hence, it is important to identify cooperation network and networking indicators in science and technology parks. The purpose of this research is to identify the indicators of networking in science and technology parks. The method of the current research is qualitative and in it three methods of metacomposition, fuzzy Delphi and Dimetal were used. A search was made in Persian and English databases and 10 related studies were identified and analyzed. In order to verify the networking indicators extracted from the theoretical literature, 13 experts and managers of Pardis Technology Park were surveyed and the indicators were confirmed by the experts using the fuzzy Delphi method. In order to draw the causal model of the relationships between the indicators, DEMATEL method was used. The data was analyzed using Excel software. The results showed that networking in science and technology parks has 15 indicators, such as improving the level of products, information, increasing market share, goals and creating value. According to experts, the market share increase index is the first priority and organizational learning is the last. Drawing the causal model of networking showed that indicators such as management, organizational learning, information and knowledge are effective indicators. Indicators such as new product development, market opportunity creation, relationships and opportunity exploitation are also effective indicators in the networking of science and technology parks.IntroductionNowadays, the development of science and technology parks and improving their performance depends on cooperation with industry and universities and communication with the environment and related centers. Hence, it is important to identify cooperation network and networking indicators in science and technology parks. The ultimate mission of technology parks is to be able to coordinate the results obtained from academic research with the needs of the industry and thus fill the gap between the industry and the university, and this will ultimately lead to the commercialization of knowledge. One of the major influential factors in changing the approach of science and technology parks and creating new structures and mechanisms is the birth of new concepts such as networking in the field of business. The purpose of business networking is to increase competition, cooperation and organizational expansion. Considering the importance of these centers and the impact of networking on their performance, it is essential to identify the indicators of networking in science and technology parks. So far, many researchers have investigated the relationship between science and technology parks and other actors in the innovation ecosystem, but few researchers have focused only on the indicators of park networking. In this regard, this research aims to identify the factors influencing the networking of science and technology parks and to evaluate the cause-and-effect relationships between these factors by using the method of a systematic review of previous studies (super combination) and a survey of experts. This question should answer what are the indicators of networking in science and technology parks.Literature ReviewPaztto and Burin's research (2022) indicates that management control systems are effective in inter-organizational cooperation and identification of companies. This system promotes collaborative behaviors among companies related to science and technology parks. Networking and inter-organizational partnership ultimately lead to knowledge and information sharing, increasing flexibility, improving problem-solving strategies and limiting the use of power. The research of Glitova et al. (2022) showed that for cooperation and networking between industry, university and the public sector, attention should be paid to indicators such as knowledge creation by universities, research and development centers and businesses, technology transfer, creation of new businesses, industrial clusters, Business support services, customization, building the necessary infrastructure and equipment, and legal requirements at the local level are required. The research of Khan-Mirzaei et al. (2021) showed that networking and emphasizing cooperation and communication between science and technology parks and growth centers can lead to gaining a competitive advantage for the national economy. Communication with universities and research and development centers, cooperation with companies that have a similar field of work, access to the information flow and access to the information needed in the market, or in other words, the market situation, are among the factors that create a cooperation network between Science and technology, industry, university parks are important. In confirmation of this issue, Cadorin et al. (2019) stated that talent resources and the government play an important role in promoting cooperation between science and technology parks and universities. Managers of science and technology parks should strengthen their relationship with local universities and the student community (as sources of talent) and pay attention to their relations with government representatives to receive the necessary support for the development of the park.MethodologyThe method of the current research is qualitative and in it, three methods of Meta-synthesis, Fuzzy Delphi and DEMATEL were used. A search was conducted in Persian and English databases and 10 related studies were identified and analyzed. To verify the networking indicators extracted from the theoretical literature, 13 experts and managers of Pardis Technology Park were surveyed and the indicators were confirmed by the experts using the Fuzzy Delphi method. To draw the causal model of the relationships between the indicators, DEMATEL method was used. The data was analyzed using Excel software.ResultsIn this research, a set of 62 codes and 15 indicators was obtained by extracting concepts effective on park networking from previous qualitative research. The main indicators include improving the level of products, and information, increasing market share, goals (park goals, socio-economic and environmental goals), creating value, exploiting the opportunities available in the park, optimizing resources, and developing new products, Knowledge includes the knowledge of the market-partners and co-creation of knowledge, the international and commercial performance of the park, creating opportunities through the market, management, the need for resources and operational resources, creating and developing relationships and organizational learning. According to experts, the market share increase index is the priority and organizational learning is the last. The indicators of relationships, value creation, resources, market opportunities, goals, management, knowledge, exploiting opportunities, resource optimization, performance, upgrading products, information and new product development are ranked second to fourteenth respectively. Indicators of management, organizational learning, information, knowledge, goals, resources, and upgrading of products are effective indicators. New product development, creating market opportunities, and relationships, exploiting opportunities, optimizing resources, creating value, and increasing market share and performance are also influential indicators in the networking of science and technology parks.ConclusionThe review of the subject literature showed that paying attention to the indicators obtained in this research can lead to networking in science and technology parks. For example, the implementation of the indicators of improving the level of products, increasing market share, park goals, creating value, exploiting opportunities, knowledge, creating market opportunities, relations between actors, organizational learning and technical and human resources in Nihu Technology Park and Nankang Software Park in Taipei City. Networked. Researchers have pointed out various actors in the cooperation network of science and technology parks. The review of the texts in the meta-synthesis stage showed that each of the sources identified one to three actors based on their purpose. What was tried to be considered in this research was the gathering and consensus of all actors and their placement in the form of networking indicators such as increasing market share, resources and management. Among the new findings of this research, we can mention the type of causal relationships that are established between the indicators of networking in science and technology parks. Most researchers have not paid attention to these relationships and have focused more on the relationship between the park and variables such as innovation, performance, development, etc. However, the identification of networking behavior and the type of communication between the elements of this ecosystem can lead to the improvement of performance and optimization of activities and actions, and in this research, we tried to consider more and more comprehensive indicators in the cooperation network. be placed Finally, the purpose of the formation and development of science and technology parks is to increase the capacity of innovation and the growth of the knowledge-based economy through knowledge management (creation, sharing and access to knowledge and technology) among the members of the cooperation network of parks and to develop and commercialize the product, it becomes possible by them.Keywords: Networking Indicators, Science and Technology Parks, Meta-synthesis, Fuzzy Delphi, DEMATEL.
Data, information and knowledge management in the field of smart business
nafiseh rafiei; Zahra Zakeri Nasrabadi; Nikta Rey Shahrizadeh
Abstract
The purpose of this research was to design a model of the job competencies of online business consultants. The research method was qualitative with a contextual approach. The samples were first selected purposefully and then through snowball method. The interviews were conducted in an in-depth, semi-structured ...
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The purpose of this research was to design a model of the job competencies of online business consultants. The research method was qualitative with a contextual approach. The samples were first selected purposefully and then through snowball method. The interviews were conducted in an in-depth, semi-structured manner. With the process of open, central, and selective coding, 5 selective categories and 24 central categories were extracted. Causal conditions (the effort to acquire specialized knowledge, mastery of information and communication technology, experience in online business, having discipline in work and flexible management), background conditions (management and structural performance of the government, development of consulting culture in society), intervening conditions (non The stability and lack of structure of the country's economy, inefficient and cumbersome bureaucracy, lack of laws supporting business owners and weaknesses within the job, strategies (strategies planned by the government, acquiring up-to-date knowledge and information in the field Online business, practical training of online business, having discernment, use of reference groups) and consequences (strategic thinking, self-empowerment, civil ethics in work, performance management) were extracted. The obtained categories, while differentiating the job of consultants, achieved a model that can be the basis of the performance of online business consultants.
Introduction
Competence in its best definition is a combination of visible and measurable knowledge, skills, abilities, and characteristics that help improve employee performance and ultimately lead to organizational success. (Müller-Frommeyer, 2017). Therefore, having proficiency in the field of job competencies related to online business will help them to prosper more (Hakak et al., 2020).
One of the main reasons for the failure to survive or achieve the expected growth in online businesses is the lack of knowledge and expertise in online business management. Therefore, the presence of competent entrepreneurship consultants plays an important role in this field. (Reid et al., 2019).
Since the purpose of business consulting is specific and strategic, the chosen approach should be a combination of providing advice based on the consultant's experiences and coaching. In addition to this skill, having general business experience will play a significant role in guiding clients in aspects of strategic planning, business development, and responding to existing business challenges. Of course, these services will be efficient enough when the consultants have sufficient competence in personality, moral and skill dimensions (Rajab pour, 2020).
Research Questions
In the context of which causal, contextual, and intervening factors, job competencies of online business consultants are formed? What strategies do online business consultants take to strengthen job skills? What consequences will the adopted solutions have for improving the performance of online business consultants?
Literature Review
Researchers have identified different components of job competence including: motivation, social skills, self-awareness, empathy, self-regulation, cognitive skills (Liikamaa, 2015), strategic contribution, business knowledge, personal credit, technology (Mufti et al., 2016), systemic thinking, acceptance of interdisciplinary diversity, intrapersonal competence, practical and strategic management (Solansky, 2020).
Some researches show the competencies needed by business consultants, including the competencies of motivating and giving hope, keeping entrepreneurs' information confidential and protecting their intellectual property rights, alertness to new work opportunities, and the ability to prepare a business plan (Hatami&Azizi, 2015). Also, the job competence of employees has been identified in terms of personal characteristics, knowledge, and skills (Babashahi et al., 2017). The competencies of the consultants of organizations, in addition to specific personality competencies, were also extracted in the sub-categories of intelligence, knowledge of management and organization, strategic thinking, situational assessment, and leadership of leaders (Vakili et al., 2021).
Methodology
The method of this research was qualitative based on a contextual approach. The area investigated in the current qualitative research was formed by experts of online business consultants. In this research, the samples were selected purposefully and the sampling process continued as a snowball. Semi-structured in-depth interviews were completed with 18 experts until the theoretical saturation criterion was reached. The duration of each interview was between 50 and 80 minutes.
Results
The analysis of the research data in the three stages of open, central, and selective coding finally resulted in 24 central categories, 5 major categories, and one core category which covers all the emerged categories, which is mentioned in the table below.
Table 1. Coding results (source: findings of the current research)
Selective coding
Axial coding
First order axial code
Second order axial code
Job competency
Knowledge-oriented, skill-oriented
and ethical
Get updated information
-
Having multiple skills
practical skill
Communication skills
Speaking skill
Listening skills
Ethics of consultants
-
gaining experience
and knowledge in the age of information
and communication
Trying to acquire specialized knowledge
Mastery of information and communication technology
Online business experience
Having order and discipline at work
Correct management of programs
Background
conditions from
macro to
micro levels
Administrative performance of the government
Structural performance of the government
The growth of counseling culture in society
Economy
bureaucracy
and restrictive
culture
Instability and unstructured economy in Iran
Inefficient and cumbersome bureaucracy
Lack of laws supporting business owners
Limitations and weaknesses within the job
Strategies
structural-
operational) to
strengthen job
competence
Selective
coding
Systematic and planned government strategies
Get up-to-date business knowledge and information online
Practical and practical online business training
Having the power of discernment
Axial coding
Strategies
structural-
operational)
Use the experience of others and reference groups in your field of work
Personal,
professional
and social promotion
Strategic thinking
Self-empowerment
Civil ethics in performing job duties
performance management
Finally, during selective coding (central extraction, causal and contextual conditions, interventional conditions, strategies, and consequences), central categories in each sector, systematically related to other categories, relationships in a clear communication framework, and the research paradigm model were drawn that narrate the process of forming job competencies online. The model is illustrated in Figure1.
Figure 1. Derived contextual model
(source: findings of the present research)
Intervening conditions of economy, bureaucracy and restrictive culture
* Instability and unstructured economy
* Inefficient and cumbersome bureaucracy
*Lack of laws supporting business owners *Limitations and weaknesses within the job
Causal conditions for gaining experience and knowledge in the age of information and communication
* Trying to acquire specialized knowledge
* Mastery of technology
Information and communication
* Online business experience
* Having order and discipline at work
*Flexible management
Background conditions from macro to micro levels
* Administrative performance of the government
* The structural function of the government
* Growth of counseling culture in the society
Consequences of personal, professional and social promotion:
* Strategic thinking
* Empowering yourself
* Civil ethics in
Performing job duties
*performance management
The central phenomenon of online business consulting job competencies model
* science-oriented
* Skill oriented
* Moral oriented
Strategies structural-operational) tostrengthen job competence
* Systematic and planned strategies of the government
*Acquiring up-to-date knowledge and information in the field of online business
*Practical and practical online business training
* Having the ability to recognize
*Using the experience of others
Conclusion
The main goal of this research was to design a model of the job competencies of online business consultants. According to the obtained results, the conceptual model of the research was extracted in six main sections, including causal, contextual, intervening, strategic, consequences, and central conditions. The extracted model shows that for the formation of a science-oriented, skill-oriented, and ethical multi-dimensional desirable occupational competency model, both the implementation of strategies at the macro-management and structural levels of society and the agency and active role of actors in this field are needed. It is important to achieve this by acquiring the necessary specialized knowledge and strengthening one's civic capabilities. In this regard, inefficient and cumbersome bureaucracy, lack of sufficient supporting laws for business owners, instability, and unstructured economy in the society are the most important limitations in the model based on the mentality and immediate experiences of the interview. Those involved in online business consulting are depicted. Therefore, if the competency model of online business consultants of this research is implemented, it can play a significant role in improving the performance management of consultants to their clients in a scientific way, not based on personal experiences and based on trial and error.
Keywords: Job Competency, Consultant, Online Business.
Data, information and knowledge management in the field of smart business
Mohammad Kazemi; Mohammad Ali Keramati; Mehrzad Minooie
Abstract
The effort of this article is to solve one of the main problems in the field of banking, which is closely related to the field of information technology. The combination of the management discussion of this issue with the field of information technology will be one of the important topics in the field ...
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The effort of this article is to solve one of the main problems in the field of banking, which is closely related to the field of information technology. The combination of the management discussion of this issue with the field of information technology will be one of the important topics in the field of information technology management. The main purpose of this article is the clustering of bank customers.At first, all customer characteristics were extracted from the bank's database, which was randomly extracted for 900,000 customers and will be provided as input to the proposed method of this article. All the characteristics of these customers were extracted and 10 characteristics (except four characteristics of the LRFM method) were listed using the opinions of experts. The proposed method should be able to choose among these 10 features for customer clustering that results in more resolution in clustering. This makes more suitable features to be placed next to the four features of LRFM and improve the performance of LRFM. Due to the high number of variations in this problem, it is not possible to do it manually and the proposed method tries to provide a separate pattern for clustering for the customers of each bank by examining different situations. Also, the problem of choosing the right value for the number of clusters in the K-means method is solved by the method proposed in this article. The results show that it is better than the basic RFM and LRFM methods.IntroductionToday, the Achilles heel of all customer-oriented businesses is customer satisfaction and providing services tailored to each customer's situation. This issue has gone so far that regardless of customer satisfaction, any organization will face failure (Otto et al., 2019). One of the main current challenges for customer-oriented organizations is understanding the differences and ranking customers in order to optimally allocate resources. This issue is very important in managing the correct relationship with the customer. Banks are one of the main customer-oriented institutions in the country (Morzdashti et al., 2022). The bank does not do any proper clustering to know its customers and plan future goals. More precisely, it does not have information about the total number of customers and their distribution. Because of this, more time and money is wasted. As far as the research of this article has followed; The clustering that currently exists for customers does not have the necessary dynamics and people are clustered based on some characteristics such as transaction amounts, occupation or other general characteristics. LRFM model is a method used to cluster customers in customer relationship management. In this model, customers are clustered based on four characteristics of customer relationship, novelty of exchange, number of times of exchange and monetary value exchanged. In fact, the customer relationship length has been added to the RFM model and created the LRFM model. Because, the RFM model was not able to identify loyal customers (Moslehi et al., 2013).In the proposed model of this article, an attempt will be made to provide a dynamic method for using variables with the LRFM method to provide the possibility of implementing different clusters depending on the time of use. This issue will lead to more compliance of the proposed clustering method with reality.Research Question(s)What methodology is used to follow the process of presenting the proposed model?What features can be placed next to the LRFM model to provide appropriate results?What methodology is used to follow the process of presenting the proposed model?What features can be placed next to the LRFM model to provide appropriate results?What will be the structure of particle swarm algorithm?What similarity measure or clustering method would be suitable for customers?How can the LRFM model be improved by the particle swarm algorithm and the creation of different clusters based on the K-means method? Literature ReviewShrahi and Ali Qoli have implemented a clustering method for the customers of one of Sepeh Bank branches in Tehran (Shrahi and Ali Qoli, 2015). This model is based on K-means clustering algorithm. In this method, an attempt has been made to identify sixty companies loyal to the bank from among all legal customers. However, the K-means algorithm has some problems (Bagatini et al., 2019, Santini, 2016):Determine the optimal value for the number of clusters.The initial points that are chosen randomly at the beginning of the algorithm have a great impact on the final result.The order of data entry and their review is effective in the final result.Ayoubi has tried to cluster bank customers using Kohonen neural networks (Ayoubi, 2016). In this method, the training of a neural network is done using the training data, and after that it is possible to cluster the new customer.Yousefizad and Sorayai have also used the RFM model to cluster customers in order to design a model for providing services to customers, which consists of two stages (Yosefizad and Sorayai, 2017).suggested method:In this section, the proposed method of the article is described in full detail. MethodologyIn this part, how to improve the LRFM method using the combination of particle swarm algorithm and K-means method is described. All the steps of particle swarm algorithm are followed and its functions and parameters are specified. The steps of the proposed method will be as follows:Initialization: The schematic of the initial population matrix will be as shown in Figure (2). This matrix consists of two parts. The first part has one element that tries to suggest the number of clusters using the K-means method, and the second part will have 10 binary elements.Calculating the fitness of each particle: Using the fitness function, the fitness level is determined for each particle present in the population. This fitness level is based on clustering using the K-means method. The appropriateness of the clustering done is measured based on the intraclass variance criterion, which corresponds to the image of the fitness of each particle (Ahmar et al., 2018).Update of particle values: Using two parameters, local optimum (LBEST) and global optimum (GBEST), the values present in the particles can be updated. By LBEST, we mean the best value that the I-th particle has reached so far (the best-fit value for the I-th particle). Also, GBEST means the value that has the best fit until T iterations. These two values are used to update the values of other particles. ConclusionThis article tries to provide a dynamic method for clustering bank customers in order to improve their service. The LRFM method has four important features in the field of banking, but its problem is lack of dynamics. More precisely, it is possible that other characteristics such as financial, occupational, or daily transaction characteristics can be added to the four LRFM characteristics and improve the performance of this method. Among all the features that can be placed next to the four features of LRFM; Depending on the customer's data, the appropriate features should be selected. This choice is the responsibility of the particle swarm algorithm. This algorithm tries to put appropriate features along with the four LRFM features depending on the data conditions and customer information to get a better result in clustering. Also, because this algorithm methodK-means helps in finding the number of clusters.It is also possible to replace the particle swarm with other meta-heuristic methods and compare its results with the results in the article.
Data science, intelligence and future analysis
Mehdi Fasanghari; Mohammad Asarian
Abstract
The fifth-generation networks of smart manufacturing and smart factory is rapidly evolving as a technology that integrates industrial production and smart Internet, bringing new support for the digital transformation of the industry and the development of a high-quality economy. Therefore, this ...
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The fifth-generation networks of smart manufacturing and smart factory is rapidly evolving as a technology that integrates industrial production and smart Internet, bringing new support for the digital transformation of the industry and the development of a high-quality economy. Therefore, this article, with emphasis on the fifth generation of the Internet and with the aim of identifying 5G-based intelligent manufacturing projects, seeks to prioritize these projects using the hierarchical analysis method. Therefore, after reviewing the literature and interviewing with 17 experts, 5 main criteria for project prioritization were selected and weighted by AHP method using an expert questionnaire. Then, using the opinions of experts, 22 identified smart factory projects were prioritized according to the criteria weight. The criteria were calculated according to the income, cost and risk level of the project. Also Intelligent production line, intelligent logistics, intelligent resource allocation and process automation were identified as the most important intelligent production projects.IntroductionPrompt technological progress is driving a substantial paradigm shift in the manufacturing sector, empowering manufacturers to innovate and better satisfy consumer needs. In order to maintain a competitive edge on an international scale, manufacturers must implement technological advancements such as flexible production, robotics, automation, and smart factories to reduce expenses and increase efficiency (M Attaran & Attaran, 2020; Mohsen Attaran, 2023).5G technology is integrating intelligent internet with industrial production at an accelerated rate. Its provision of superior network services, including ample bandwidth, extensive connectivity, minimal latency, and dependable performance, serves as a catalyst for the advancement of the wireless industrial internet (Agiwal et al., 2016; Zhang et al., 2022)With augmented reality, artificial intelligence, and automation, 5G enables smart factories to perform troubleshooting (Wang, 2021). It addresses production obstacles while improving connectivity, speed, and quality (Yit et al., 2020). By facilitating intelligent management and agile production, 5G IoT provides factories with increased flexibility, reduced change turnaround times, and enhanced cost-effectiveness. It centralizes product lifecycle management, enhances communication, and streamlines smart factory operations (Siddiqui et al., 2022).5-G improves smart manufacturing by enabling real-time machine-to-machine communication, connectivity, and smart factory capabilities (Gangakhedkar et al., 2018). Early adoption of 5G has limited commercial applications in manufacturing, despite its potential (Wang, 2021). This article uses research, expert interviews, and project prioritization criteria to identify promising 5G applications in smart factories to aid 5G adoption decisions.Literature Review2.1. The fifth generation of mobile networksAmong the continuously evolving communication technologies, 5G emerges as a transformative entity. It follows the digitization of voice in 2G, the incorporation of multimedia in 3G, and the introduction of high-speed wireless broadband in 4G, constituting the fifth generation of mobile networks. Present communication technologies are facing challenges in keeping pace with the exponential growth of demand for mobile services, communication capabilities, and network traffic (Mu et al., 2020).5G, designated IMT-2020 by the International Telecommunication Union in 2015, will revolutionize connectivity and capabilities. Its features include user-centric network architecture, cloud radio access network architecture, beamforming antennas, millimeter-wave hybrid and standalone networks, and user plane separation. 5G offers over 1000-fold increased communication capacity, 10-100 times faster data transfer speeds, less than 1 millisecond latency, 10-100 times larger large-scale connectivity, lower costs, and a vastly improved user experience (Agiwal et al., 2016; Alqahtani et al., 2023; Li et al., 2020).2.2. Smart factorySmart manufacturing, or smart factories, uses 5G technology to improve efficiency, reduce production time, and optimize processes. It uses smart sensors to monitor and control production. These sensors can adapt to external stimuli, make logical decisions, and relay information, enhancing manufacturing efficiency and intelligence (Hozdić, 2015; Soori et al., 2023; Temesvári et al., 2019; Zuehlke, 2010).2.3. Smart manufacturing technologiesM2M and D2D communication are part of smart manufacturing. Active communication, data-driven decision-making, and control commands are enabled by M2M connections between humans, machines, and systems. It helps implement IoT smart connections. Conversely, D2D allows peer devices in a network to communicate directly. Communication is routed and managed autonomously by each device, optimising resource usage and network efficiency to improve connectivity (Ding & Janssen, 2018).2.4. Smart officeThe impact of 5G technology transcends the boundaries of the manufacturing facility. It enables employees to optimize their productivity by means of virtual assistants, digital communication tools, and rapid data transfer, thereby empowering intelligent workplaces. The realization of a mobile digital office is facilitated by 5G, which also promotes employee collaboration, adaptability, and uninterrupted communication (M Attaran & Attaran, 2020; Rao & Prasad, 2018).2.5. Automation and supply chain management and 5GBy facilitating communication and data exchange between and within organizations, 5G has a substantial effect on supply chain management. By improving the ability to integrate suppliers, customers, and internal logistics processes, it grants organizations a competitive edge. 5G enhances the overall efficiency of supply chains through the optimization of processes, reduction of costs, improvement of quality, and implementation of real-time monitoring capabilities (Liu, 2021; Rejeb & Keogh, 2021; Taboada & Shee, 2021).2.6. BlockchainBlockchain is a decentralized, global technology that works like a "large computer." It processes digital asset transactions like money, personal data, health records, and others as a distributed ledger. Blockchain accelerates computation through encryption and data improvement. Blocks of transaction records form a blockchain, ensuring data integrity. Blockchain combined with 5G technology allows real-time ownership and location tracking, improving transparency, validating products, preventing fraud, and improving supply chain efficiency. Monitoring KPIs ensures network performance transparency and ensures material sourcing, manufacturing, and supply chain security (Han et al., 2023; Jovović et al., 2019; Tahir et al., 2020).MethodologyThis study uses pragmatism-based applied research. Its main goal is to identify 5G network projects and applications in smart factories. The study is mixed-method, using qualitative and quantitative methods.First, 5G in smart factory projects literature was reviewed and expert interviews were conducted to identify relevant projects. These projects were refined using content analysis.17 industry experts were interviewed to evaluate and prioritize the projects in the second phase. After statistical analysis, 31 projects were reduced to 17. After comparing these projects to the literature, 22 were chosen.The third stage involved choosing five project evaluation and weighting criteria. The 17 experts were given a questionnaire to weight each criterion by importance.The fourth stage scored projects using the five criteria. Our Analytic Hierarchy Process (AHP) determined each project's final weight and ranking. The Analytic Hierarchy Process helps decision-makers prioritize options in complex and uncertain situations. It organises factors into a hierarchical tree structure and solves decision-making problems by breaking down large problems into smaller ones. This method clarifies problem relationships and concepts.ConclusionThe 5G wireless communication technology has emerged as an indispensable component in the advancement and administration of intelligent manufacturing. Exploring the applications of 5G connectivity in smart factories, this study seeks to identify projects that are feasible. By conducting interviews with IT specialists and reviewing prior articles in this field, the research identified 22 implementable projects. The prioritization of these projects was determined by the following five factors: total project cost, project revenue, social benefits, project feasibility, and project risk level. The findings indicated that project revenue was the most pivotal criterion, with project cost and risk level following suit. Both intelligent logistics and smart production lines, which are the top two recommended project categories, stand to gain substantially from 5G integration. Additionally, intelligent supply chain management, intelligent resource allocation, and process automation are crucial initiatives that can augment smart manufacturing.Keywords: Fifth-generation internet wireless mobile communications (5G), Analytic Hierarchy Process (AHP), Smart factory, Smart manufacturing, Technology.The fifth-generation networks of smart manufacturing and smart factory is rapidly evolving as a technology that integrates industrial production and smart Internet, bringing new support for the digital transformation of the industry and the development of a high-quality economy. Therefore, this article, with emphasis on the fifth generation of the Internet and with the aim of identifying 5G-based intelligent manufacturing projects, seeks to prioritize these projects using the hierarchical analysis method. Therefore, after reviewing the literature and interviewing with 17 experts, 5 main criteria for project prioritization were selected and weighted by AHP method using an expert questionnaire. Then, using the opinions of experts, 22 identified smart factory projects were prioritized according to the criteria weight. The criteria were calculated according to the income, cost and risk level of the project. Also Intelligent production line, intelligent logistics, intelligent resource allocation and process automation were identified as the most important intelligent production projects.IntroductionPrompt technological progress is driving a substantial paradigm shift in the manufacturing sector, empowering manufacturers to innovate and better satisfy consumer needs. In order to maintain a competitive edge on an international scale, manufacturers must implement technological advancements such as flexible production, robotics, automation, and smart factories to reduce expenses and increase efficiency (M Attaran & Attaran, 2020; Mohsen Attaran, 2023).5G technology is integrating intelligent internet with industrial production at an accelerated rate. Its provision of superior network services, including ample bandwidth, extensive connectivity, minimal latency, and dependable performance, serves as a catalyst for the advancement of the wireless industrial internet (Agiwal et al., 2016; Zhang et al., 2022)With augmented reality, artificial intelligence, and automation, 5G enables smart factories to perform troubleshooting (Wang, 2021). It addresses production obstacles while improving connectivity, speed, and quality (Yit et al., 2020). By facilitating intelligent management and agile production, 5G IoT provides factories with increased flexibility, reduced change turnaround times, and enhanced cost-effectiveness. It centralizes product lifecycle management, enhances communication, and streamlines smart factory operations (Siddiqui et al., 2022).5-G improves smart manufacturing by enabling real-time machine-to-machine communication, connectivity, and smart factory capabilities (Gangakhedkar et al., 2018). Early adoption of 5G has limited commercial applications in manufacturing, despite its potential (Wang, 2021). This article uses research, expert interviews, and project prioritization criteria to identify promising 5G applications in smart factories to aid 5G adoption decisions.Literature Review2.1. The fifth generation of mobile networksAmong the continuously evolving communication technologies, 5G emerges as a transformative entity. It follows the digitization of voice in 2G, the incorporation of multimedia in 3G, and the introduction of high-speed wireless broadband in 4G, constituting the fifth generation of mobile networks. Present communication technologies are facing challenges in keeping pace with the exponential growth of demand for mobile services, communication capabilities, and network traffic (Mu et al., 2020).5G, designated IMT-2020 by the International Telecommunication Union in 2015, will revolutionize connectivity and capabilities. Its features include user-centric network architecture, cloud radio access network architecture, beamforming antennas, millimeter-wave hybrid and standalone networks, and user plane separation. 5G offers over 1000-fold increased communication capacity, 10-100 times faster data transfer speeds, less than 1 millisecond latency, 10-100 times larger large-scale connectivity, lower costs, and a vastly improved user experience (Agiwal et al., 2016; Alqahtani et al., 2023; Li et al., 2020).2.2. Smart factorySmart manufacturing, or smart factories, uses 5G technology to improve efficiency, reduce production time, and optimize processes. It uses smart sensors to monitor and control production. These sensors can adapt to external stimuli, make logical decisions, and relay information, enhancing manufacturing efficiency and intelligence (Hozdić, 2015; Soori et al., 2023; Temesvári et al., 2019; Zuehlke, 2010).2.3. Smart manufacturing technologiesM2M and D2D communication are part of smart manufacturing. Active communication, data-driven decision-making, and control commands are enabled by M2M connections between humans, machines, and systems. It helps implement IoT smart connections. Conversely, D2D allows peer devices in a network to communicate directly. Communication is routed and managed autonomously by each device, optimising resource usage and network efficiency to improve connectivity (Ding & Janssen, 2018).2.4. Smart officeThe impact of 5G technology transcends the boundaries of the manufacturing facility. It enables employees to optimize their productivity by means of virtual assistants, digital communication tools, and rapid data transfer, thereby empowering intelligent workplaces. The realization of a mobile digital office is facilitated by 5G, which also promotes employee collaboration, adaptability, and uninterrupted communication (M Attaran & Attaran, 2020; Rao & Prasad, 2018).2.5. Automation and supply chain management and 5GBy facilitating communication and data exchange between and within organizations, 5G has a substantial effect on supply chain management. By improving the ability to integrate suppliers, customers, and internal logistics processes, it grants organizations a competitive edge. 5G enhances the overall efficiency of supply chains through the optimization of processes, reduction of costs, improvement of quality, and implementation of real-time monitoring capabilities (Liu, 2021; Rejeb & Keogh, 2021; Taboada & Shee, 2021).2.6. BlockchainBlockchain is a decentralized, global technology that works like a "large computer." It processes digital asset transactions like money, personal data, health records, and others as a distributed ledger. Blockchain accelerates computation through encryption and data improvement. Blocks of transaction records form a blockchain, ensuring data integrity. Blockchain combined with 5G technology allows real-time ownership and location tracking, improving transparency, validating products, preventing fraud, and improving supply chain efficiency. Monitoring KPIs ensures network performance transparency and ensures material sourcing, manufacturing, and supply chain security (Han et al., 2023; Jovović et al., 2019; Tahir et al., 2020).MethodologyThis study uses pragmatism-based applied research. Its main goal is to identify 5G network projects and applications in smart factories. The study is mixed-method, using qualitative and quantitative methods.First, 5G in smart factory projects literature was reviewed and expert interviews were conducted to identify relevant projects. These projects were refined using content analysis.17 industry experts were interviewed to evaluate and prioritize the projects in the second phase. After statistical analysis, 31 projects were reduced to 17. After comparing these projects to the literature, 22 were chosen.The third stage involved choosing five project evaluation and weighting criteria. The 17 experts were given a questionnaire to weight each criterion by importance.The fourth stage scored projects using the five criteria. Our Analytic Hierarchy Process (AHP) determined each project's final weight and ranking. The Analytic Hierarchy Process helps decision-makers prioritize options in complex and uncertain situations. It organises factors into a hierarchical tree structure and solves decision-making problems by breaking down large problems into smaller ones. This method clarifies problem relationships and concepts.ConclusionThe 5G wireless communication technology has emerged as an indispensable component in the advancement and administration of intelligent manufacturing. Exploring the applications of 5G connectivity in smart factories, this study seeks to identify projects that are feasible. By conducting interviews with IT specialists and reviewing prior articles in this field, the research identified 22 implementable projects. The prioritization of these projects was determined by the following five factors: total project cost, project revenue, social benefits, project feasibility, and project risk level. The findings indicated that project revenue was the most pivotal criterion, with project cost and risk level following suit. Both intelligent logistics and smart production lines, which are the top two recommended project categories, stand to gain substantially from 5G integration. Additionally, intelligent supply chain management, intelligent resource allocation, and process automation are crucial initiatives that can augment smart manufacturing.Keywords: Fifth-generation internet wireless mobile communications (5G), Analytic Hierarchy Process (AHP), Smart factory, Smart manufacturing, Technology.
