Seyed Mehdi Sadat Rasoul; Sepideh Shafi'ah; Mohsen Khodakarami
Abstract
Hundreds of thousands of new businesses are created every year around the world, and it is estimated that about half a billion people worldwide are actively trying to start new businesses. Therefore, creating a new business is very important; because it creates new job opportunities, produces new technology ...
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Hundreds of thousands of new businesses are created every year around the world, and it is estimated that about half a billion people worldwide are actively trying to start new businesses. Therefore, creating a new business is very important; because it creates new job opportunities, produces new technology and creates wealth and value in society. However, a large percentage of small businesses fail in the early years of their existence. Meanwhile, in the field of superior technologies, due to the high dependence on changing technology and also the need for high initial capital, firms are facing a more difficult situation. The purpose of this study is to provide a rule based database to determine the success and failure of IT startups in Iran. For this purpose, using research conducted in this field and also receiving the opinions of experts through a semi-open questionnaire, we identified 36 factors affecting the success and failure of startups and classified them into 5 categories. In this research, the method of fuzzy inference system by Mamdani method has been used to analyze the factors. The statistical community is the founders of Iranian startups as well as professors and business professionals;30 founders of successful Iranian startups have been randomly selected as a sample. The results show that team-related factors and team characteristics have the greatest impact on the success and failure of startups.
Mostafa Ghelichkhani; yahya Samadi Moghadam; Kiamars Fathi Hafashjani
Abstract
Effecting fundamental changes in all organizational dimensions, digital transformation refers to the aggregation and integration of digital technologies in all areas of an organization. The design science methodology was used in this study to propose a maturity assessment model for digital transformation ...
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Effecting fundamental changes in all organizational dimensions, digital transformation refers to the aggregation and integration of digital technologies in all areas of an organization. The design science methodology was used in this study to propose a maturity assessment model for digital transformation in industrial organizations. . For data collection in the qualitative phase, a systematic review of the literature was conducted to analyze relevant papers within the 2015–2019 period. As a result, 49 papers were selected. At the same time, the experts were interviewed. Axial and theoretical coding phases were then implemented through the grounded theory in MAXQDA 10 to classify data as four dimensions and 12 categories. Causal conditions, context conditions, intervening conditions, strategies, and consequences were then identified to design the paradigm model. In the quantitative phase, research questionnaires were used for data collection, and the structural equation modeling technique was employed for model testing in SmartPLS. According to the ISO 15504, the capability maturity model for digital transformation was designed at incomplete, initial, performed, managed, established, and optimized levels in order to make research practical, and a corresponding 48-item researcher-made questionnaire was then developed. The proposed model was analyzed in an industrial organization of the electronics sector to determine the organizational maturity level.the result showed that the organization is at the second level of maturity and transformation has begun in it.the focus of the organization has been on the technology aspect and it is necessary to develop organization aspects accordance with them.
Elham Vahidinia; Masoomeh hoseinzadeh Shahri; Seyyed Hamid Khodadad Hoseini; Neda Abdollahvand
Abstract
Hard conditions of today's hypercompetition markets have not only dramatically increased the cost and risk of entering the market, but have also caused failure of new entrants. Coopetitions are born in response to this need. One of the important issues facing decision makers in coopetition projects is ...
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Hard conditions of today's hypercompetition markets have not only dramatically increased the cost and risk of entering the market, but have also caused failure of new entrants. Coopetitions are born in response to this need. One of the important issues facing decision makers in coopetition projects is how to evaluate the consequences so that decide whether to enter the coopetition or not, as well as whether to continue or not. The purpose of this research is design and explain the consequences of coopetition for entering the ICT market of Iran, by analyzing the data gathered from systematic literature review over the past 15 years and interviewing with 16 ICT experts, through Multi Grounded Theory (MGT). Finally, a conceptual model is developed about the consequences of coopetition for entering the Iranian ICT market, which composed of three groups: "Brand Performance", "Industry Performance", and "Market entry Performance ".v
Sara Afgababaei; Mohsen Nazari; Nastaran Haji Heydari
Abstract
in today's competitive world, pricing, as one of the 4 elements of marketing mix, plays a key role in the success or failure of companies. Based on theoretical principles, in value-based pricing, companies calculate the distinct value of their products from customer insights. The purpose of this ...
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in today's competitive world, pricing, as one of the 4 elements of marketing mix, plays a key role in the success or failure of companies. Based on theoretical principles, in value-based pricing, companies calculate the distinct value of their products from customer insights. The purpose of this research, which is based on design science, is to design and implement a system to help competitive pricing based on customer value by categorizing and analyzing customer emotions with the aim of maximizing profits. choice of this research is The hoteling industry , in which customer opinions and values play key rule. In this research, first, it has been tried to identify and classify important and valuable items in the minds of the customers of these 5-star hotels in Tehran by the method of topic modeling with LDA algorithm. Then, in each category, each customer's comments are tagged, and these comments processed with different text mining algorithms. Then the accuracy of the algorithms calculated. the deep learning algorithm with 0.9 accuracy had the highest accuracy of calculations. Finally, the analysis of sentiments with the available data was performed by the system designed in the previous step and acceptable results were obtained. The application of the proposed system is to identify the value of hotels in the minds of target customers over competitors and to help value-based pricing.
Seyyed Amin Hoseini sanu; Negar Kadkhoda
Abstract
This study addresses the security of information systems (ISS) as one of the most important issues in organizations and especially municipalities. Instead of exceptions, information security breaches have become a norm, and security of information systems can only be realized when employees completely ...
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This study addresses the security of information systems (ISS) as one of the most important issues in organizations and especially municipalities. Instead of exceptions, information security breaches have become a norm, and security of information systems can only be realized when employees completely accept this concept by changing their behavior in line with advanced information security systems. The model of this research is based on institutional theory. This two-way model has introduced organizational citizenship behavior (OCB) and counterproductive work behavior (CWB) in the process of verifying the security of the information system. This research also measures the impact of innovative culture on the information security system. The statistical population of the study consisted of Mashhad Municipal Information Technology experts and data collection tool was a questionnaire. The data support mainly the proposed research model and the results indicate the application of institutional theory in explaining the process of institutionalizing the changes in the security of the information system on the innovative culture of the organization, legitimizing and accepting those changes, and increasing organizational citizenship behavior (reduction of counterproductive work behavior) in employees Which, in the end, will increase the effectiveness of the security of the information system.
Habibollah Salarzehi; Golbahar Pouranjenar; Amin Shakibai; Hassan Ghaffari
Abstract
The current research was conducted with the aim of identifying the effective drivers for the development of virtual social networks in identifying entrepreneurial opportunities. Virtual social networks, as a network of human communication, include WhatsApp, Instagram, Google Plus, LinkedIn, Facebook, ...
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The current research was conducted with the aim of identifying the effective drivers for the development of virtual social networks in identifying entrepreneurial opportunities. Virtual social networks, as a network of human communication, include WhatsApp, Instagram, Google Plus, LinkedIn, Facebook, Twitter and other platforms that include many opportunities in the field of entrepreneurship. The research was applied in terms of its purpose, and in terms of the nature and method of data collection, it was analytical-exploratory and of a mixed approach, in which Content analysis method was used in the qualitative part, and the MicMac method was used in the quantitative part. The intended sample in the qualitative section includes 9 experts, and in the quantitative section, it includes 20 experts who are proficient in the subject, who were selected by snowball sampling. The method of data collection in the qualitative part included library studies and interviews, and in the quantitative part it included the MicMac questionnaire. At the stage of library studies and interviews, 18 primary variables were identified, and 16 variables were used for quantitative analysis by adjusting the opinions of experts. After analyzing the data obtained from the MicMac questionnaire, 10 variables were determined as effective drivers. The results show that the most effective factor include; The size of virtual social networks and the presence of business contacts in virtual social networks and the least effective variable include; Transfer of information and existence of information resources in virtual social network.
Behnam Golshahi; Nahid Dorostkar Ahmadi; Nahid Sadeghi
Abstract
This study has the goal of assessing and prioritizing self-serving technologies with a combined approach to continuous usage of electronic banking services. To achieve this goal we used literature review and interviewing banking experts to determine parameters affecting continuous usage of ...
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This study has the goal of assessing and prioritizing self-serving technologies with a combined approach to continuous usage of electronic banking services. To achieve this goal we used literature review and interviewing banking experts to determine parameters affecting continuous usage of self-serving technologies. And to prioritize these parameters we used paired comparison analysis questionnaires and fuzzy analytic hierarchy process.Validity of questionnaire was attained by content method and its stability was attained by calculating the rate of compatibility of aggregation matrix of experts’ opinions. Statistical population of this research includes 30 managers and deputy managers of selected Saman Banks’s branches in the region of northern Tehran which by snowball sampling method 12 of them were selected to participate in this study. Data analysis were done using fuzzy AHP and using MATLAB software. Analysis of data showed that self-serving services have different weighs according to three parameters of customer value, quality of service and customer readiness in which POS devices (0.662 weigh) have the most usability and importance from the view of banking experts. Other services rank as ATM (0.181). Mobile banking services (0.101) and Internet bank (0.056) respectively. In addition ranking of self-serving technologies according to 14 indexes also justifies the previous results.
Soroush Motamedi Fard ; Amir Bayat Tork; Jalal Haghighat Monfared
Abstract
In today's fast-paced and highly uncertain environment where customer needs, technology, employee needs, community status, monetary systems, geographic location and everything are changing, companies cannot always rely on the production and supply of their existing products. A new product development ...
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In today's fast-paced and highly uncertain environment where customer needs, technology, employee needs, community status, monetary systems, geographic location and everything are changing, companies cannot always rely on the production and supply of their existing products. A new product development strategy is an important activity that helps companies stay alive and make continuous improvements. However, most organizations consider these factors static and disregard these dynamics. Since the relationship between the factors contributing to the success of new product development has many dynamics and feedbacks, the systems dynamics tool is a useful tool to analyze in this area. In this research, in order to identify and analyze the dynamics of the factors affecting the success of a new product development, based on the theoretical background and opinions of industry experts, key variables in the field of new product development have been identified and the causal relationships between these variables are outlined. Accordingly, the system simulated in Tejarat Bank from 1392 to 1404. The results of the simulation and review show that considering the considered policies optimizes the new product development of regulatory financial products in the aforementioned organization.
Fatemeh Abbasi; Ameneh Khadivar; Mohsen Yazdinejad
Abstract
Nowadays, people use others' opinions on social networks for decision-making to purchase online products and services. Likewise, the companies which offer the products employ sentiment analysis of opinions of users and customers to adopt informed decisions and offer new products. Considering the ...
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Nowadays, people use others' opinions on social networks for decision-making to purchase online products and services. Likewise, the companies which offer the products employ sentiment analysis of opinions of users and customers to adopt informed decisions and offer new products. Considering the high volume of the contextual data, conversion, and analysis of such data is a major challenge in e-commerce. Sentiment analysis is a modern approach in the extraction of opinions. The obtained information from sentiment analysis can have a considerable impact on the efficient selection of customers. In the present study, a model has been proposed for sentiment analysis of users' opinions for buying a cell phone in Digikala. This study is applicable to the objective aspect. The data includes users' opinions in Digikala. The statistical sample consists of opinions of cell phone users in Digikala. Supervised learning, as well as Python package, were utilized for analysis and implementation. A model has been proposed for sentiment analysis of users' opinions. The results demonstrate that this model can classify users' opinions with an accuracy equal to 0.892. Similarly, the results reveal that users' opinions about ease of use, possibilities, and capabilities of the cell phone are positive and about purchase value to price, innovation, design and appearance, and quality of cell phones are negative. The proposed model can be implemented in e-commerce websites like Digikala and its output can be observed by users systematically. Finally, it can be led to inform decision-making for buyers and companies which offer products.
majid kalantari; Seyed Rasoul Albourzi Gahroei; Elaheh Lotfizadeh Dehkurdi; Ahmad reza Kasraei
Abstract
The global crisis caused by the spread of the coronavirus has created new management scenarios in various economic and social sectors. In this study, by introducing smart water meters and examining their effectiveness in the process of remote reading of water consumption of subscribers, we seek to use ...
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The global crisis caused by the spread of the coronavirus has created new management scenarios in various economic and social sectors. In this study, by introducing smart water meters and examining their effectiveness in the process of remote reading of water consumption of subscribers, we seek to use the benefits of information technology solutions in the water industry to reduce or eliminate the risks of future crises. To do so and for the first time in the country by implementing of data obtained from nationwide projects as well as using paired t test, we will examine changes in water use before and after the implementation of smart household water meters and during the outbreak of the virus, according to which the positive impact of the deployment of such smart measuring equipment in the face of the water shortage crisis caused by the deployment of the virus has been confirmed.
Seyed Nuredin Mahmoodi
Abstract
vvvIntroductionUsing e-commerce will significantly reduce energy consumption and pollution. Today, large stores easily sell their products electronically. The branches of electronic business have expanded so much that companies and organizations exchange with each other or provide their goods and services ...
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vvvIntroductionUsing e-commerce will significantly reduce energy consumption and pollution. Today, large stores easily sell their products electronically. The branches of electronic business have expanded so much that companies and organizations exchange with each other or provide their goods and services to their customers by spending the least possible time and cost. The use of information technology is one of the necessary links to increase commercial efficiency in the national economy and preserve the environment.This research will not only explain the consumer trust in cultural products and examine its dimensions and components but also pay attention to the motivation and drivers of the movement towards the consumer trust in cultural products and understand the appropriate platform for its realization through gaming. Green and quality information will help. On the other hand, the case study of the present research is Digikala's online service company. At the time of the research, Digikala is the largest online store in Iran, has more than 2 million daily visitors, and has taken 70% of the online sales market share in Iran. Digikala's business model is a combination of virtual marketplace and retail (Shojaei Raisi, 1400). The reason for choosing Digikala electronic store is due to the use of gaming in attracting and retaining customers and the store's attempt to persuade customers to be environmentally responsible.Research Question(s)The main issue of the current research is whether the quality of information and green gaming has an effect on consumer trust in cultural products, taking into account the mediating role of perceived usefulness and perceived ease of use.Literature ReviewGamification has emerged as a technological trend that transfers the features of games to non-game contexts. Studies in various fields such as health, education, and marketing have shown that gaming affects people's behavior. However, few sustainability studies provide conclusive findings on whether gamification affects actual pro-environmental behavior. The purpose of gamification is to transfer the features of games to non-game contexts in order to create a game experience. Accordingly, the user must perceive a gamified or interactive situation with a game-like service. To realize this, gameplay is based on the concept of "Loodus". For example, basic features of games such as goals, rules, structure, and feedback should be transferred to the non-game context. Through these components, gaming presents and conveys information in a different way. Customers actively participate in providing information and experience the information in the form of a gameMethodologyThe method of carrying out the present research is a survey and correlational research design of the type of structural equations using the method of partial least squares. The statistical population of the present study is the consumers of Digikala cultural products. The total number of the statistical population of the present study is uncertain. Considering the statistical population, Cochran's formula is used to determine the number of samples, for this purpose, 384 samples were selected due to heterogeneity and stratified proportional sampling.The questionnaire was distributed among the customers in cultural products who have access to the Internet and have made an electronic purchase from DigiKala. Among the statistical samples of the research, 384 questionnaires were distributed, of which 380 questionnaires were answered, of which 4 questionnaires were excluded from the analysis because they did not answer a large number of questions. Finally, 380 questionnaires were included in the analysis.ResultsThe results showed that the quality of information has a significant effect on perceived usefulness and ease. Also, green gameplay has a significant effect on perceived usefulness and ease. Perceived usefulness plays a mediating role in the relationship between information quality and green gaming with consumer trust in cultural products. Perceived ease of use plays a mediating role in the relationship between information quality and green gaming with consumer trust in cultural products. The numbers inside the explained variance circle are the research variables.DiscussionIn the new business process, gaining the trust of consumers of cultural products has taken an important and vital place in the goals of organizations, and senior managers know very well that their success in achieving the organization's major goals depends on gaining the trust of consumers of cultural products. Is. The purpose of the present study was to explain the effect of green gaming and information quality on consumer trust in cultural products with regard to the mediating role of perceived usefulness and perceived ease of use.According to the findings of the research, it was found that green gaming has a significant effect on perceived usefulness. Green gaming is one of the ways that helps to attract customers in different aspects. Green gamification in terms of providing gamified information can increase pro-environmental behavior due to the reduction of psychological distance. Therefore, the presentation of gamified information should increase the perceived clarity and quality of information, which should therefore encourage pro-environmental behavior. In this regard, the results of Wolff's research (2020) showed that green gamification and gamified information have a positive effect on perceived usefulness and perceived ease.ConclusionBased on the findings of the research, to improve the trust of consumers in cultural products, it is suggested to provide complete information about green gaming to consumers and how to use it in a clear and transparent manner. implemented and the employees have sufficient knowledge about green gaming and have received the necessary training in this field.One of the limitations of the current research was that this research was conducted only in the Digikala online store, so caution should be exercised in generalizing its results to other industries or other organizations. For future research, it is suggested that the model used in this research should be investigated in other industries or a specific organization, and individual and cultural factors regarding green gaming should be investigated.
Mohsen Shafiei Nikabadi; Samane. Toghi; Amir Hakaki
Abstract
The study conducted with aim of ranking each aspect of information security risk management. At the first stage, the dimensions and characteristics of each have been identified based on the research literature and expert opinions. In order to rank the factors under study using a hybrid approach using ...
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The study conducted with aim of ranking each aspect of information security risk management. At the first stage, the dimensions and characteristics of each have been identified based on the research literature and expert opinions. In order to rank the factors under study using a hybrid approach using FEMA and Gray theory, 50 questionnaires collected among IT, soft ware, and network experts that choosed based on researchers’ judgement and accessible one. According to the results, the security of communications was ranked first. Infrastructure of hard ware and network, human factors, security management, access to information and systems and the development of secure information systems were ranked second to sixth, respectively.Therefore, it is recommended that organizations set up an independent security department within the organization. Also, providing a list of all the information assets of the organization and specifying control and strategic goals in the area of information security in the organization can be useful for organizations. Moreover, if the organization has several branches and need internet connection, preferably communications are available as VPN. In addition, if organizations have web automation for outside usage, the site should be licensed with SSL and https protocol.
Mostafa Nejad Taheri; Mohammad Taghi Taghavifard; Abbas Toloei Eshlaghy
Jamaleldin Ebrahimi; Mohammad Azizi; Katayoun Pourmehdi
Abstract
In the turbulent world of business, Corporate entrepreneurship is a step into a market with high uncertainty. Therefore, companies need to have a good understanding of capabilities in a dynamic environment so that they can achieve the long-term profit with minimal loss. So, This study aimed ...
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In the turbulent world of business, Corporate entrepreneurship is a step into a market with high uncertainty. Therefore, companies need to have a good understanding of capabilities in a dynamic environment so that they can achieve the long-term profit with minimal loss. So, This study aimed to investigate the impact of dynamic capabilities on corporate entrepreneurship in the Communications Industry. This research in terms of its purpose, is applicable and in terms of data collection is descriptive and correlation research. The statistical population of the study was included of 350 managers, chief executives, senior experts of Hamrah Aval company and Irancell company. Also, for collecting data, a researcher-made questionnaire was used. Structural equation modeling was used to analyze the data and hypotheses. Finally, the finding of research show that the positive effect of dynamic capabilities on corporate entrepreneurship, and it was concluded that environmental perception capabilities, learning capabilities, integration capabilities, coordination capabilities, reorganization capabilities has a positive and significant effect on corporate entrepreneurship. Also, the environmental dynamism moderates the impact of dynamic capabilities on corporate entrepreneurship.In this way, whatever the amount of environmental dynamism increase, the relationship between the two variables of dynamic capability and corporate entrepreneurship will be stronger. Because this dynamics is a useful mechanism for responding to new competitive forces. Companies operating in highly dynamic environments are more innovative, risk-taking and proactive than those with less uncertainty and external pressures.
, Reza Yousefi Zenouz; Seyed Sajjad Najafi esfahani; , Ebrahim Koulivand
Abstract
While electronic government could help the development of the country and also boost the security and decrease the corruption, but, at the same time it can prepare an infrastructure for other types of crimes and facilitate some type of corruptions. This paper attempts to identify and prioritize the security ...
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While electronic government could help the development of the country and also boost the security and decrease the corruption, but, at the same time it can prepare an infrastructure for other types of crimes and facilitate some type of corruptions. This paper attempts to identify and prioritize the security features and necessities that Government Service Bus(GSB) should have as an electronic government infrastructure. Afterwards vast literature review and interview with the designers and users of this system, the security requirements of different stakeholders were identified. After that by content analysis, these requirements were refined and codified. Three categories of requirements are strategic,, technical and legal or national security requirements. Then adopting Kano model and quality function deployment (QFD) the requirements were processed and prioritized. The results and findings of this research showed that GSB is better than other systems like peer to peer(P2P) and physical document interchange and outperformed them in all dimensions. The main concern of all of respondents and experts were in the area of security. They are unanimous that security framework and standards of the system should be developed and implemented. This also emphasizes the importance of this type of researches.
Ehsan Kashi; Mehri Shahriari
Abstract
News and rumors about the prevalence of corona virus on social media have a significant impact on people. The aim of this study is to examine the topics discussed by people about corona disease in social media from the beginning of corona prevalence to the present day. The research data were collected ...
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News and rumors about the prevalence of corona virus on social media have a significant impact on people. The aim of this study is to examine the topics discussed by people about corona disease in social media from the beginning of corona prevalence to the present day. The research data were collected from people’s comments in posts related to Corona News on Instagram and analyzed using the method of text mining and clustering. Based on the results of the research, the topics of discussion of the citizens were divided into 10 clusters, which are: Lack of sanitary equipment, lack of attention to quarantine, news and rumors, mental condition, information about symptoms, prevention, control and treatment, government and public actions, lack of personal hygiene, death rate in patients and burial, closure of educational activities And economic problems. Then they were compared with the issues in December and January, when some issues such as access to vaccines, hourly traffic restrictions and the mutated virus were added to the concerns of the people, and some of them were addressed by government measures.
Maryam Tavakoli Zaniani; Mohammad Reza Gholamian
Abstract
Process discovery is a branch of process mining that by using event logs extracts the process model that describes the events’ behavior properly. Since, Heuristic process discovery algorithms are among the most significant and popular process discovery methods and due to the fact that the ...
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Process discovery is a branch of process mining that by using event logs extracts the process model that describes the events’ behavior properly. Since, Heuristic process discovery algorithms are among the most significant and popular process discovery methods and due to the fact that the quality of outputs of these algorithms is heavily dependent on the quality of extracted dependency graph, in this paper for the first time, an approach to transform the problem of dependency graph discovery to a binary programming problem has been proposed and also, an objective function is introduced that simultaneously considers fitness and precision measures of output models. The weights dedicated to each of the measures are determined by means of a user-defined threshold. The mentioned measures are the most important metrics in assessing quality of output models of process discovery algorithms. Hence, in fact this approach focuses on improving quality metrics of output models. Moreover, by means of defining suitable constrains, the proposed approach is capable of involving domain knowledge in mining procedure, as well as guiding the result through whether the models that are more likely to be sound. This is depicted in a case study of a real company that is described in this paper. In the case study, the proposed approach has been applied to marketing event log of the mentioned company by utilizing the constrains defined according to domain knowledge and structural rules of dependency graph and at the end, the results were presented.
Maryam Sadat Mazaheri; Changiz Valmohammadi; Alireza Pourebrahimi; Mahnaz Rabeei
Abstract
IntroductionNowadays, cloud computing has attracted the attention of many organizations. So many of them tend to make their business more agile by using flexible cloud services. Currently, the number of cloud service providers is increasing. In this regard, choosing the most suitable cloud service provider ...
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IntroductionNowadays, cloud computing has attracted the attention of many organizations. So many of them tend to make their business more agile by using flexible cloud services. Currently, the number of cloud service providers is increasing. In this regard, choosing the most suitable cloud service provider based on the criteria according to the conditions of the service consumer will be considered one of the most important challenges. Relying on previous studies and using a meta-synthesis approach, this research comprehensively searches past researches and provides a comprehensive framework of factors affecting the choice of cloud service providers including 4 main categories and 10 sub-areas. Then, using the opinions of experts who were selected purposefully and using the snowball method, and using the Lawshe validation method, the framework is finalized.Research Question(s)This research aims to complete the results of previous studies and answer the following questions with a systematic review of the subject literature:-What are the components of the comprehensive framework for choosing cloud service providers?-What are the effective criteria to choose a cloud service provider?-What is the selected framework of effective factors? Literature ReviewMany researchers have looked at the problem of choosing the best CSP from different aspects and have tried to provide a solution in this field. In this regard, we can refer to "Tang and Liu" (2015) who proposed a model called "FAGI" which defines the choice of a trusted CSP through four dimensions: security functions, auditability, management capability, and Interactivity helps. "Kong et al." (2013) presented an optimization algorithm based on graph theory to facilitate CSP selection. Some researchers have also provided a framework for CSP selection, such as "Gash" (2015) who provides a framework called "SelCSP" with the combination of trustworthiness and competence to estimate the risk of interaction. "Brendvall and Vidyarthi" (2014) suggest that in order to choose the best cloud service provider, a customer must first identify the indicators related to the level of service quality related to him and then evaluate different providers. Some researchers have focused on using different techniques for selection. For example: "Supraya et al." (2016) use the MCDM method to rank based on infrastructure parameters (agility, financial, efficiency, security, and ease of use). They investigate the mechanisms of cloud service recommender systems and divide them into four main categories and their techniques in four features of scalability, accessibility, accuracy, and trustIn this research, it has been tried to use the models and variables of the subject literature in developing a comprehensive framework. The codes, concepts, and categories related to the choice of cloud service providers are extracted from previous studies, and a comprehensive framework of the factors influencing the choice of cloud service providers is presented using the meta-composite method. MethodologyIn this research, based on the "Sandusky and Barroso" meta-composite qualitative research method, which is more general, a systematic review of the research literature was conducted, and the codes in the research literature were extracted. Then the codes, categories, and finally the proposed model are formed. The seven-step method of "Sandusky and Barroso" consists of: formulation of the research question, systematic review of the subject literature, search and selection of suitable articles, extraction of article information, analysis and synthesis of qualitative findings, quality control, and presentation of findings. Lawshe validation method has been used to validate the research findings. ResultsIn the meta-synthesis method, all the factors extracted from previous studies are considered as codes and concepts are obtained from the collection of these codes. Using the opinion of experts and considering the concept of each of these codes, codes with similar concepts were placed next to each other and new concepts were formed. This procedure was repeated in converting the concepts into categories and the proposed framework was identified. This framework consists of 27 codes, 10 concepts, and 4 categories (Table 1).Table 1: Codes, concepts, and categories extracted from the sourcescategoryConceptCodeNo.TrustSecurityHardware Security1Network Security2Software Security3Confidentiality4Control5Guarantee and AssuranceAccessibility6Stability7Facing ThreatsTechnical Risk8Center for Security Measures9TechnologyEfficiencyService Delivery Efficiency10Interactivity11Hardware and Network InfrastructureConfiguration and Change12Capacity (Memory, CPU, Disk)13Functionality Flexibility14Usability15Accuracy16Service Response Time17Ease of use18ManagerialMaintenanceEducation and Awareness19Customer Communication Channels20StrategicLegal Issues21Data Analysis22Service Level Agreement23CommercialCustomer SatisfactionResponsiveness24Customer Feedback25CostSubscription Fee26Implementation Cost27The lack of a common framework for evaluating cloud service providers is compounded by the fact that no two providers are the same, so that this issue complicates the process of choosing the right provider for each organization. Figure 1 shows the proposed comprehensive framework including 4 categories and 10 concepts covering the issue of choosing cloud service providers. These factors are useful in determining the provider that best matches the personal and organizational needs of the service recipient. The main categories are: trust building, technology, management, and business, which will be explained in the following.Figure 1: Cloud service provider selection framework 5- ConclusionBy comprehensively examining the factors affecting the choice, this research introduces specific areas such as trust building, technology, management, and business as the main areas of cloud service provider selection and add to the previous areas. The category of building trust between the customer, and the cloud service provider is of particular importance. In this research, the concepts related to trust building are: security (including hardware security, network security, software security, confidentiality and control), (availability, stability and stability), and facing threats (technical risk). In 36% of the articles, the concept of trust is mentioned, but in each study, only a limited number of factors affecting this category are discussed. This research takes a comprehensive look at the category of technology, the concepts of productivity (including service delivery efficiency, interactivity), hardware and network infrastructure (including configuration and repair, capacity (memory, processor, disk)), and performance (including flexibility, usability, accuracy of operation, service response time, ease of use). Considering the variety of services on different cloud platforms, service recipients must ensure that the provision of services is managed easily and in the shortest possible time by the cloud provider. The commercial aspect of service delivery deals with the two concepts of customer satisfaction (including responsiveness, customer feedback) and service rates (including: subscription cost and implementation cost), which are of interest to many businesses. The results of this research will help the decision makers of using the cloud space (both organizational managers and cloud customers) in choosing the best cloud service provider to have a comprehensive view of the effective factors before choosing and plan according to their needs.
hamid bekamiri; Mohammad Lagzian; Alireza Pooya; Hossein Sharif
Abstract
While this study identifies the most important key indicators that influence the banking industry, it also attempts to provide a forecast for the Iranian banking industry in the future. Scenario planning and cross-impact matrix are used in this study. Among all the identified factors, 29 key factors ...
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While this study identifies the most important key indicators that influence the banking industry, it also attempts to provide a forecast for the Iranian banking industry in the future. Scenario planning and cross-impact matrix are used in this study. Among all the identified factors, 29 key factors influencing the future of the industry were selected through a fuzzy analytical hierarchical process and then the impact of each of these factors was determined through analysis of the cross-impact matrix. The cross-impact balance was then used to write scenarios.Accordingly, of all combined scenarios, the most likely strong scenarios were clustered into five general categories using K-mode clustering. Finally, four scenarios were identified, including optimism for the bank, banking industry development, inflationary conditions and sanctions. It was therefore possible to define action plans for each of the scenarios.
Salimeh Ghanbari; Hossein Nezamabadi-pour; Sayyed Abdolmajid Jalaee
Abstract
With the importance of lending in the banking industry, it is very important to use the indicators affecting credit to decide on lending. The purpose of the present study is to identify and prioritize the effective features in customer accreditation using the viewpoints of bank experts in Kerman and ...
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With the importance of lending in the banking industry, it is very important to use the indicators affecting credit to decide on lending. The purpose of the present study is to identify and prioritize the effective features in customer accreditation using the viewpoints of bank experts in Kerman and to compare them with existing indicators in models extracted from Meta-Heuristic and Artificial Intelligence methods. The aim is to find out whether there is a match between the human views that arise from knowledge and experience and the views of artificial intelligence that look at the problem as black-box modeling. Required data were collected by questionnaire method and Quantum Binary particle swarm optimization algorithm and analyzed by Delphi. The results show that the selected indices have 80% overlap between the two methods. Due to the results of research and high accuracy of artificial intelligence techniques, it is suggested that in order to give credit to customers in banks and financial and credit institutions, to consider a higher weight for these indicators.
Farnoush Zangouei; Zahra Kharazi Mohammadvandi Azar; Jamshid Salehi Sadaghian
Abstract
The purpose of this study is to identify the components of smart tourism industry in Iran through mixed method. In the qualitative section, in the qualitative section, the statistical population consisted of tourism industry managers. 13 depth interview was conducted. Data analysis was performed ...
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The purpose of this study is to identify the components of smart tourism industry in Iran through mixed method. In the qualitative section, in the qualitative section, the statistical population consisted of tourism industry managers. 13 depth interview was conducted. Data analysis was performed in the qualitative part by conventional qualitative content analysis method using MaxqDa software. In the quantitative section, the statistical population consisted of experts from travel agencies as well as tourists from these three cities. 390 respondents were selected by using Cochran formula and random sampling method Structural equation modeling with partial least squares (PLS) approach was used for data analysis.The results of confirmatory factor analysis showed that all observable variables were significant and confirmed at the 0.05 level. The results identified four components: smart governance, socio-cultural empowerment, development of using new smart technologies and comprehensive smart tourism services.
Hadi Nilforushan ; Seyyed Ali Ayazi
Abstract
Changing caused by blockchain requires preparation, and this preparation can facilitate the conditions for acceptance and implementation of blockchain. Without examining the readiness of the industry to embrace blockchain, cannot expect the various areas of activity in the energy industry to receive ...
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Changing caused by blockchain requires preparation, and this preparation can facilitate the conditions for acceptance and implementation of blockchain. Without examining the readiness of the industry to embrace blockchain, cannot expect the various areas of activity in the energy industry to receive a good or appropriate response from the implementation of blockchain schemes. Therefore, the main question of this study was to determine what framework could be devised for preparing different domains for acceptance of blockchain in order to evaluate the activity of oil and gas companies? This study investigates the concept of blockchain and derives a framework for measuring readiness for blockchain acceptance. Then the field of activity of the companies in the oil and gas sector was identified and these areas were evaluated on the basis of blockchain readiness indicators. The research method is descriptive and applied and the opinions of 15 experts were used for pairwise comparisons and assessing the readiness of companies in the oil and gas sector. Based on the results, the energy trading area at the level of sales to other partner companies is most likely to accept blockchain. After that, the energy trade comes second in sales to the customer. In third place is the development and design of applications in the field of blockchain-based energy services.
farajallah rahimi; Mohammad hassan baghalinejad shooshtari; mahdi nadaf
Abstract
Organizations face different problems in the optimal use of data. Business intelligence helps organizations achieve that. This article is based on the qualitative research, using Grounded Theory approach, and it aims to design a business intelligence modelin petrochemical companies located in Mahshahr ...
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Organizations face different problems in the optimal use of data. Business intelligence helps organizations achieve that. This article is based on the qualitative research, using Grounded Theory approach, and it aims to design a business intelligence modelin petrochemical companies located in Mahshahr Special Economic Zone. In this study, 13 executives/experts were interviewed as a sample using semi-structured method and the collected data were analyzed with the open coding, axial and selective stages. and the model was tested and confirmed by the interviewers using the Delphi method. The results of this research provide a model the petrochemical companies, the motivations and the factors affecting successful implementation of Business Intelligence, transition into an intelligent enterprise, and optimized decision-making in all areas.
Mohammadreza Taghva; Iman Raeesi Vanani; Zohreh Dehdashti Shahrokh; Mana Shakerin
Abstract
IntroductionToday, the strategic importance of information is obvious to all businesses. In addition, the competitive environment of each company is constantly changing. The Spring 2020 event was a testament to this fact. Due to the health and economic crisis caused by the emergence and spread of an ...
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IntroductionToday, the strategic importance of information is obvious to all businesses. In addition, the competitive environment of each company is constantly changing. The Spring 2020 event was a testament to this fact. Due to the health and economic crisis caused by the emergence and spread of an unknown virus, various teams found it difficult to convey their advertising messages, campaigns and services. They could no longer rely on their assumptions about what customers buy and why and how they buy it (Johnson, 2020). Access to rich information for businesses that operate both in the field of e-commerce and in the retail sector of perishables is crucial. These products have a short life cycle and should be consumed faster. If the market intelligence model is properly designed for such businesses based on the supply chain of perishables, then managers will be able to correctly identify their customers, competitors and the business environment and run their business more successfully and grow as a result. In Iran, not much research has been conducted to provide a model that simultaneously addresses the aspects related to supply chain, market intelligence and online retail of fast-moving (perishable) products. and each of the models or patterns in the literature address one aspect of the issue. If market intelligence is at the service of the supply chain, it can create opportunities to reduce costs and increase customer satisfaction through collaborative decisions. Based on what was presented in the introduction, the main question of the research is extracted as follows.Research QuestionRQ1: what are dimensions and components of Market Intelligence model in the supply chain of FMCG (perishables) products in online retailing.Literature ReviewThe concept of market intelligence has attracted a lot of attention in recent years. Various experts have defined market intelligence in some way: market intelligence is formed through detailed and accurate information about business environment in general, consumer needs and preferences, technology and changes in the business environment that can affect buyers. (Hedin,2014). Market intelligence enables small businesses to identify market attractiveness and create value and drive innovation (Del Vecchio, 2018). 2.1. Supply Market IntelligenceThe relationship between market intelligence and supply chain can be found under concept of supply market intelligence. (SMI). Market intelligence is a process for gaining competitive advantage and reducing risk by increasing knowledge about market dynamics and includes market intelligence, process and price benchmarking to evaluate sourcing performance, competitive sourcing identifying strategic opportunities in markets that lead to lower prices ,emerging supply channels and markets (Hanfield,,2010). 2.2. Organization Information Processing Theory (OIPT)One of the theories which is the basis for market intelligence and business intelligence is organization information processing theory (OIPT), which was introduced by Galbraith in late 1973. According to Galbraith, when uncertainty is low, organizations can be managed by relying on rules and programs and hierarchical referrals but in situations where the organization is facing high uncertainty, the need for information processing increases and there are two general solutions in this regard: organizations must either reduce the need for information processing or increase information processing capabilities by investing in information systems (Galbraith, 1974).2.3. Market OrientationThe root of market intelligence can also be traced to a concept called market orientation. The concept of market orientation has been developed from two perspectives: behavioral perspective and market intelligence perspective. According to Kohli and Jaworski, market orientation is a set of behaviors or activities related to market intelligence, dissemination of market intelligence among different units of the organization and responsiveness based on it (Kohli & Jaworski, 1990). According to Narver and Slater, Market Intelligence has three main components: customer orientation, competitiveness, and cross-sectoral coordination. In short, market orientation states that customer orientation helps companies to understand the needs and wants of their customers and take basic steps to meet them. Competitiveness will enable companies to create more value for customers than competitors and thus achieve a sustainable competitive advantage. The role of market intelligence is in collecting, analyzing and disseminating this information (Narver & Slater, 1990). MethodologyIn this study mixed method approach has been adopted. First, in order to achieve the research objectives and identify the indicators of market intelligence in the supply chain of perishable products (fruits and vegetables), the seven-step approach of Sandelowski and Barroso’s (2003) meta-synthesis method was used. The statistical population covers the research published in 3 databases of ProQuest, Science Direct and Google Scholar during the period time of 2010-2021 for keywords of market intelligence and supply market intelligence. For other keywords, different period time was applied. In the second part, to obtain additional indicators, semi-structured interviews were conducted by an exploratory approach. In this regard, interviews were conducted with experts in the field of retail of fast-moving and perishable products, service providers of fruits in Iran’s e-commerce environment. ResultsIn order to achieve the most relevant research to enter the meta-synthesis process, criteria for inclusion and exclusion of research were considered.. A total of 1654 studies were reviewed, of which 276 studies had related topics, and with elimination of duplicated studies, There were 202 researches available, of which 113 had abstracts, 48 had content and 31 had appropriate quality and analysis method. In order to combine the findings of the research, the approach of Sandelowski and Barroso has been followed, in the sense that after careful study of studies and articles, codes have been identified from their texts and the researcher has formed a classification based on it and Similar classifications were placed on the topic that best described it. The sample of Codes, concepts and category identified in meta-synthesis phase is illustrated in table 1.Table 1. An example of coding in meta-synthesis processCodesConceptCategoryCustomer Demographic InformationCustomer InsightCustomer & Market Insight Customer personalizationCustomer interests and NeedsFocus group sessions with customersCustomer EngagementCall Center interaction with customerCustomers surveysThe coding process at the meta-synthesis stage led to the identification of 5 categories (supply chain intelligence, market and customer insight, business intelligence, social business intelligence and competitive intelligence), 23 concepts and 5 categories.In the second phase of the research, the new items identified in the theme analysis of semi-structured interviews with experts which included Order, Co-Branding, Customer Club, and Financial Issues. By comparing and combining the dimensions and components obtained in the two qualitative stages of the research, the market intelligence model for perishable products in the field of online retail was presented in the form of the model presented in Figure 1. Figure 1. Supply market intelligence (research model) In order to validate the model, the conditions for establishing reliability and validity (convergent and divergent validity) and fit indices must be met according to Table 2. Table 2. Conditions for establishing Reliability & ValidityindicatorsAllowable ValidityReliabilityComposite Reliability > 0.7 and Cronbach's alpha>0.6Convergent validityLoading Factor >0.5CR>AVEAVE>0/5Rho_A>0/6Discriminate validityAVE>MSVFit IndicesGOF>0/36SRMR<0/1NFI>0/9Descriptive statistics and central indicators such as mean, standard deviation, skewness and kurtosis for each of the components and dimensions and indicators are reported in the above table 3.Table 3. Sample of Descriptive indicators and first-order confirmatory factor analysis The reliability index was evaluated by measuring the factor loads and the reliability of the latent variables was evaluated by the compositional reliability . Cronbach's alpha results, compositional reliability and are shown in Table 4.Table 4. Sample of Cronbach's alpha results, composite reliability and convergent validityDimensionComponentsCronbach’s AlphaCA>0/6rho_A>06Composite ReliabilityCR>0/7Average variance extractedAVE>0/5Supply chain intelligenceSuppliers club & insight0/6920/7150/8650/762Service Provider Portal0/9250/9260/9380/656Competitive intelligenceResponse to Competition0/8440/8480/8950/682Tactical competition0/8910/8940/9330/822Customer & Market InsightCustomer Engagement0/9000/9000/9380/834Social Business IntelligenceCompetitive insight in social network0/7160/7160/8760/779Social Customer Interaction0/8450/8450/9280/866According to Table4, the Cronbach's alpha value for all variables is greater than the appropriate limit of 0.6 . Also the value of the compositional reliability coefficient for each variable is more than the desired limit of 0.7. In this model, the convergent validity of the model variables is all higher than 0.5, all of which are at an appropriate level. ConclusionIn this study, the aim was to develop a market intelligence model in the supply chain of perishable products in the field of online retailing. Handfield (Handfield, 2006), introduced the supply market intelligence concept and considered business intelligence and market intelligence as the information drivers of supply chain processes. According to the meta-synthesis of literature and analysis of semi-structured interviews with 14 experts, the components of each of the proposed dimensions were identified and social business intelligence and supply chain intelligence were identified as new dimensions of supply market intelligence model. In fact, a complete and optimal supply chain should include those activities that the customers value and are willing to pay for the resulting services or products. Therefore, understanding customer behavior is very important. What is very important in the supply chain is that supply is aligned with demand across the supply chain, so a better understanding of suppliers and end customers is the best way to reduce costs in the supply chain., As a summary, the identified dimensions and the importance and role of each in the supply market intelligence model is discussed. - Supply chain intelligence. In this dimension, the components related to the to the links that make up the chain (logistics, sourcing, service provider gateway ...) should be considered to ensure that these links work efficiently. In e-commerce, logistics and service provider portals (such as website or mobile App) are very important because they are the connection point with customers and if the delivery is not done properly, especially for perishable products, in addition to customer dissatisfaction will cause product waste. Also, the service provider portals should have appropriate features such as speed, graphics, user friendliness, user experience, security, providing complementary services, ease of payment and other important features to make users and customers will revisit the website.- Market and customer insights. In this dimension, 4p components and customers are defined. It is crucial to identify market trends as well as the position that the business has with its customers. In fact, depending on the type of product and service that customers are willing to pay for, supply chain processes can be restructured. - Competitive intelligence. The way competitors market their products and services and the scanning of the external business environment are crucial in shaping the business supply chain. According to the resource-based view theory, a service should be defined in the supply chain that cannot be easily copied or provided by competitors and brings a competitive advantage to the firm, and this requires knowledge of the technologies adopted by competitors and the type of service and price offered by them.- Business intelligence. One of the important dimensions of the supply market intelligence model is business intelligence. In fact, the revenue model, sales volume, statistics and financial information and value that the retailer has created for itself, and the and the evaluation of incentives provided in the form of discount plans, provide insight to managers to focus on those products and services in the supply chain that they bring better and more to the business, and according to these factors, the company's revenue model can be defined.- Social business intelligence. Social networks have had a significant impact in the last decade. Social customers are able to share information with countless members of these networks, so analyzing social customer relationships and current trends in these networks and analyzing the performance of competitors in these networks is very important. In fact, these networks have created a new potential market for businesses and require their own sourcing and marketing.Based on what was covered in this study, it can be concluded that those businesses that operate in the field of online retailing, always need to find themselves in the path of information flow, which is an attempt to reduce uncertainty.
Shahriar Mohammadi; Eslam Nazemi
Abstract
Social media data is one of the most effective and accurate indicators of public sentiment, so that analyzing this information can provide researchers with interesting results from users' sentiment about characters, subjects, products, and services. In this study, while reviewing users' opinion on Twitter ...
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Social media data is one of the most effective and accurate indicators of public sentiment, so that analyzing this information can provide researchers with interesting results from users' sentiment about characters, subjects, products, and services. In this study, while reviewing users' opinion on Twitter about the various features of two competing mobile phone products on the market, Apple's Iphone X and Samsung's Galaxy S9, we examine their sentiment based on the gender of consumers of these two products. This study is performed using the relation-based method in the feature extraction step and Lexicon-Based in the polarity of opinions step. The results of this study show that the popularity of different product features varies between male and female users, and based on these results, business owners can produce products that focus on people's gender or design smart advertising plan according to their interests. These measures ultimately lead to increased business profitability and customer satisfaction.
