فصلنامه علوم مدیریت ایران
پیاپی 68 (زمستان 1401)

Green management, is an emerging phenomenon that has entered into the management literature when theories of economic growth and development were evolving. This new concept is based on sustainable development, and recently has become one of the major concerns in organizational studies. This paper is aimed at presenting a green management model for Iran's public organizations.  It is assumed that the green management helps to reduce costs, change the consumption pattern, raise the optimal allocation of resources and reduce waste, all requirements  to improve the environment. The persons who    were interviewed in this research, consisted of 12 experts  in the field of green management who were expert managers of Iran’s Environment Organization and university professors.  They had been selected on a purposive Sampling method. Data was collected via 12 texts of expert’s opinions. We analyzed the texts using MAXQDA software and thematic analysis method. As a result of data analysis, 313 non-repetitive codes were identified, including 31 basic, 14 organizing and 3 inclusive themes. For reliability of the findings we used Guba and Lincoln's four criteria. The research result that is presented in a three-dimensional model, includes structural themes (management dimension), contextual themes (behavioral dimension) and contextual themes (environmental dimension). The interpretation and analysis of the research data showed "redefinition of values and green policymaking through discourse in the field of water, energy, equipment and waste", "Adherence to the social responsibility of the organization inspired by the style of the top managers of the organization" and "paying more attention to the social and value dimension of society" will be a facilitator in implementation of green management in the  Iranian  public organizations

In today's world, industries face great pressure to integrate sustainability issues for efficient and successful supply chain management. Choosing the most suitable supply chain logistics service provider is a critical strategic decision for businesses aiming to achieve an effective and sustainable supply chain. In the present research, in the first stage, by studying and reviewing previous researches, the effective indicators in the selection of sustainable third-party logistics service providers were determined, and by using the fuzzy Delphi method, the indicators were screened based on the opinions of dairy industry experts, and with the help of the , fuzzy analytical hierarchy process approach. The weight of each index was determined. In the following, the Cocoso technique was used to evaluate third-party logistics service providers. Among the 16 sustainability indicators based on the opinions of dairy industry experts, the indicators of on-time delivery and transportation cost have the highest weight. The evaluation results of the third-party logistics service providers showed that Company No. 3 had a better sustainable performance than other companies. According to the obtained results, on-time delivery and transportation cost can be considered as the main reasons driving dairy companies to cooperate with third-party logistics companies.

Organizations have to coordinate their different strategies in order to become efficient. Two strategies that need to be aligned are knowledge management and human resource management. The purpose of this study is to examine the alignment of knowledge management and human resource management strategies in diverse technological conditions. The statistical population of the study include of 51 manager experts in 17 companies and organizations using different technologies (advanced and non-routine versus repetitive and routine) who were selected on a purposive sampling bases. The main variables of research are knowledge management strategies as independent, human resource management as dependent and the type of technology as moderating variables. We used a questionnaire to collect data that was analyzed by Pearson  correlation coefficient statistics. The research aimed at examining contingency situation by fuzzy logic between the kind of technologies and strategies in knowledge management and human resource management processes of recruitment, selection, payment, learning and Etc. Finding show that the companies that use coding strategies of repetitive (simple) technologies, used to hire functional workers, trained to be in control, and have been paid based on their work results. The companies that used to recruit non-routine (improved) technologies, creative and team working staff with exploratory training, being evaluated and paid based on their performance and skills.

One of the important issues that has caused the goals set for policies of the science and technology fails to be realized is the lack of definition of boundaries of the tasks and options of the organizations. Therefore, designing a policy model for science and technology for Knowledge based organizations is essential. This research is aimed at designing a science and technology policy model in order to promote the employee’s participation in knowledge-based organizations. We used a qualitative approach  in this research. The statistical population of the research included 16 experts who made up of six academics and ten managers  of  knowledge-based organizations, who were selected by snowball sampling. The data collection method was field and the data collection tools were archival studies and semi-structured interviews. In order to obtain the reliability and validity of the data, we asked  participants and several non-participant experts to review the data. Data analysis was done in three stages of open coding, axial coding and selective coding, which indicates 106 general themes. The findings of the research show that the obtained model can be used as a theoretical model for the science and technology that promote the employees participation in knowledge-based organizations.

The sustainable entrepreneurship requires exploration and exploitation activities with the best results in developed or developing markets. The digitalization of businesses is a window of opportunity that has been opened in entrepreneurial ecosystems and has provided countless benefits to businesses, including interaction with new players, access to extensive knowledge resources, risk reduction and legitimacy for businesses in different levels. In this research, we conducted  a systematic review using the prisma technique and means of scientometric (co-occurrence of words). We searched existing documents available in the Scopus database for a period of 1988 to 2022. We found  612 ducuments (articles, books, etc.) and used bibexclel  1.0.0.0 and VOS viwer 1.6.10.0 software. Based on the analysis of the scientific maps,the model of development of the specific research gap and emerging areas include “ policy, financial resources, netwok and base, support,, skill, knowledge, culture, human resources and market” It is hoped that this research can suggest some valuble intuitions for key elements in the entrepreneurial ecosystem.

E-commerce is an emerging field that is used in online trading of stocks, bonds, online banking, electronic services, etc. Since the factors of growth and survival in businesses have changed, identifying the needs of customers is one of the main concerns of every organization. On the other hand, with the advancement of technology, users try to solve their need for technology through tools and software installed on mobile phones. This causes mobile applications to be more popular than websites among users. Internet technologies allow users to share their preferences and feelings with other people, which will have a significant impact on users' decisions. This research is basic in terms of audience, descriptive in terms of objective and cross-sectional in terms of time. The purpose of the research is to identify the components related to the satisfaction of traders in online exchanges by analyzing their feelings in the space of online businesses and ranking their criteria using the method of fuzzy cognitive maps. For this purpose, we used the TF-IDF method, in order to identify the effective criteria for selection of online exchanges and by using association rules and fuzzy recognition map, the causal relationships and weights between users' needs were determined. The finding show that out of the 45 extracted criteria, only 19 Criteria have a role.and by using the weight of the criteria extracted from the method of fuzzy cognitive maps, the effective criteria in the selection of online exchanges were ranked. Internet business developers can identify their strengths and weaknesses according to these features and be more successful in the competitive environment of their business.