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.
Roghyeh Nouri; Mohammadreza Motadel
Abstract
Dashboards are an important tool for monitoring the performance of the organization and the decisions of managers, so their proper design in an integrated and orderly manner, taking into account the needs of customers and users and in accordance with organizational goals, is essential. The purpose of ...
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Dashboards are an important tool for monitoring the performance of the organization and the decisions of managers, so their proper design in an integrated and orderly manner, taking into account the needs of customers and users and in accordance with organizational goals, is essential. The purpose of this study is to provide a framework for designing management dashboards with QFD approach. For this purpose, after in-depth study in literature review, a conceptual research model was proposed, then using a mixed exploratory research Approach, management dashboard design framework, was presented. The statistical population of the qualitative section included 40 articles out of 452 articles related to the period 2005 to 2020 and related to dashboard topics and its design, which was done by Meta-Synthesizing method. Also, in quantitative part of the research, in order to validate the proposed framework and screen the indicators, fuzzy Delphi technique was used. The statistical population at this stage was 18 managers in different fields and 12 IT specialists and thus the framework. The design of management dashboards consisted of 4 dimensions, 11 components and 102 final indicators.
Seyyed Jalaladdin Hosseini Dehshiri ; Mojtaba Aghaei; Jamshid Salehi Sadaghiani
Abstract
Today, service delivery is changing with the advent of new technologies and the emergence of online businesses. The goal of online businesses and startups is to provide online services while saving customers time and money. One of the startups that are effective in meeting the needs of different groups ...
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Today, service delivery is changing with the advent of new technologies and the emergence of online businesses. The goal of online businesses and startups is to provide online services while saving customers time and money. One of the startups that are effective in meeting the needs of different groups of the community is the Fast Moving Consumer Goods (FMCG). Due to the high consumption rates and spoilage of FMCGs, proper management and performance improvement at different levels of the supply chain is essential. On the other hand, the use of knowledge management is the main factor in the success of the supply chain to achieve a competitive advantage. There are various barriers that lead to failure in the implementation of knowledge management (KM) in the supply chain. Therefore, it is necessary to identify and remove the barriers to the implementation of knowledge management in the supply chain of startups. The purpose of this research is to identify and prioritize strategies for removing barriers to the implementation of KM in FMCG supply chain. The framework in this study is to use the combination of Fuzzy Delphi, SWARA and Gray ARAS. The SWARA method has been used to determine the weight of the barriers, as criteria, and the Gray ARAS method has been used to obtain the final ranking of the approaches to acceptance of knowledge management in the supply chain. Finally, based on the results of this research, the positive leadership towards the adoption of knowledge management in the supply chain was considered as the best way to tackle barriers to the acceptance of knowledge management in the supply chain.
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.
Seyyed Jalaladdin Hosseini Dehshiri; Mojtaba Aghaei; Mohammad’Taghi Taghavifard
Abstract
Recommender systems utilization has proven sales enhancement in most e-commerce platforms. This system objected to provide more options, comfort and flexibility to user which could make him interested, as well as providing better chance for companies to increase sells in their products and services. ...
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Recommender systems utilization has proven sales enhancement in most e-commerce platforms. This system objected to provide more options, comfort and flexibility to user which could make him interested, as well as providing better chance for companies to increase sells in their products and services. Flourishing popularity of web site has originated intrigue for recommendation systems. By penetrating in infinite fields, recommendation systems give deceptive suggestion on services compatible with user precedence. Integrating recommender systems by data management techniques to can targeted such issues and quality of suggestions will be improved considerably. Recent research reveals an idea of utilizing social network data to refine weakness points of traditional recommender system and improve prediction accuracy and efficiency. In this paper we represent views of recommender systems based on Twitter social network data by usage of variety interfaces, content analysis Methods, computational linguistics techniques and MALLET topic modeling algorithm. By deep exploration of objects, methodologies and available data sources, this paper will helps interested people to develop travel recommendation systems and facilitates future research by achieved direction.
Reza Aghae; Milad Aghaei; Asghar Aghaei
Abstract
In today’s competitive environment, manufacturing and service organizations are constantly following the improvement of their product and service quality. Hence, the information systems are considered as the effective key factors in achieving competitive advantage by these organizations. ...
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In today’s competitive environment, manufacturing and service organizations are constantly following the improvement of their product and service quality. Hence, the information systems are considered as the effective key factors in achieving competitive advantage by these organizations. This is a descriptive-survey type research in which key and effective factors on MIS in MAPNA Company are identified using literature review, fuzzy Delphi method, and DEMATEL technique. The results show that top management support, aligning strategic information systems and organizational strategies, business process and management redesign, quality of input data, recruitment, retention and development of skilled manpower in the field of information systems, data and information security, internet security, reliability of software packages are the key and effective factors on MIS in MAPNA Company. Also, top management support is the most effective and the reliability of software packages is the most impressible factors as well.
