فصلنامه پژوهش های مدیریت در ایران
سال بیست و پنجم شماره 3 (پیاپی 113، پاییز 1400)

The aim of this research is structural modeling the properties and factors affecting the science and technology collaborative policy network in Iran. The research data were collected in both qualitative and quantitative stages. In the qualitative phase, exploratory and semi-structured interviews were conducted with 20 experts, and in the quantitative phase, 100 questionnaires were distributed among the experts. Structural equation modeling using partial least squares (PLS) method has also been used to analyze the data. The results of the research show that the Science and Technology Collaborative Policy Network in Iran has 17 features in four dimensions, in order of importance: actors, codes of conduct, relationships between actors and network structure. There are also eight factors affecting the network in three dimensions, in order of importance: specific science and technology policy factors, national factors, and international factors. The most important policy recommendation of this study is attention to these factors by two groups of audiences: the government and the S&T policymakers.

Organizations in dynamic commercial environments, use agile supply chain as the key strategy for confronting market instability. The purpose of the present research is to have a systematic review of Agile Supply Chain literature using meta-synthesis method in order to provide an overall model in this field. Meta-synthesis technique is implemented in this study utilizing the seven-step method of Sandelowski and Barroso (2006). After taking the respective steps of this method and upon analyzing various articles, 41 articles are finally inspected and 167 codes are derived. Eventually after categorizing the codes, three groups including agility consequences, agility enablers and agility drivers, which affect and are affected by agile supply chain, have been introduced to presenting a pattern. Finally, a general concept of competitive advantage for agility consequences, six concepts of market sensitivity, information/technology integration, flexibility, integration, strategic partnership and leadership for agility enablers and five general concepts of economic, market & competition, environment, social and technology for agility drivers have been identified.

Most of international strategic alliances are failed due to weak choices and decisions about corporate governance. Todays, as alliance formation is an effective strategy for the competitiveness of Iranian firms and products in international markets; the explanation of foundations and requirements of governance system has a very important role on improvement of operational potency of Iranian alliances with foreign partners. Current research using grounded theory with explorative approach is aimed to present a model for corporate governance in international strategic alliances. The required data were collected from 11 strategic alliances between Iranian and non-Iranian partners. The research model includes interactions between international requirements, conditions of strategic alliance formation, partnership design and expectations of stakeholders which affect corporate governance of international strategic alliances, and optimum decisions in this matters, improved durability and endurance of strategic alliances.

Social experience as an interdisciplinary subject in the field of economic and social sciences has a valuable function in evaluating the performance of businesses in interaction with customers. In the store sales department, customerschr(chr('39')39chr('39')) social experience has been considered by marketing researchers as an important factor in gaining a competitive advantage. This study investigates the role of different levels of customer density (focusing on Low density) on the social experiences of customers in shopping centers and malls trip. This study uses a qualitative phenomenological approach to examine the lived experience of professional participants in referring to shopping centers and malls. Participants were selected from professional clients to stores located in shopping centers using the snowball method. Data were collected using 15 in-depth and semi-structured interviews and continued until the data were saturated. Data analysis was performed using the content analysis method in three levels of open coding, subtopics extraction and finally obtaining the main themes of the research with the help of Atlas software. At the data analysis level, concepts and categories (sub-themes) and main themes were extracted through the process of continuous data comparison. Result of the research included 21 sub-themes along with their positive and negative aspects. All sub-themes were classified into 8 main themes (multi-purpose urban destinations, behavioral interaction with sellers, social communication, personality approaches, and customer similarity levels, brand trustworthiness, social influence of high density, and customer social experience of low density).

The purpose of this article is to explain the effect of communication quality and perception of ethical brand in Coronavirus conditions in relation to sensory cues and the intention to create value by considering the moderating role of altruistic tendency to value. The present study is a descriptive survey in terms of data collection method. The community is an electronic consumer, selected using the Cochranchr(chr('39')39chr('39'))s formula of 175 people. A questionnaire was used to collect information. Content validity and construct validity were assessed and reliability was obtained by calculating Cronbachchr(chr('39')39chr('39'))s alpha factor load coefficients and combined reliability. Confirmatory structural equation modeling and Spss25 and Smart Pls2.0 software were used to analyze the data. The results show that visual, auditory and tactile senses have a positive effect on consumer perception of ethical brand and consumer perception of ethics brand has a positive and significant effect on trust, satisfaction, commitment. Trust, satisfaction and commitment have a positive and significant effect on the intention to co-create value. An altruistic value tendency can moderate the effect of visual sense on consumer perception of ethical brand and the effect of auditory sense on consumer perception of ethical brand.

Concerning the high importance of multi-business and heterogeneous corporations in developing countries, their formation regions are vital. The present study aims to identify formation logic and the characteristics of each logic in state-owned and private Corporations.

The statistical population of the study was the senior managers of the heterogeneous multi-business corporations in state-owned and private corporations. Based on the method of judgmental and purposeful sampling, 11 experts have interviewed using the semi-structured method. The methodology of the present study is multi-grounded theory.

In the first part, through theoretical literature and systematic review, 28 themes were identified in three categories: contextual, structural, and behavioral. In the second part, based on the research literature, they entered the interview and added 5 themes to the previous themes. These include political sanctions, knowledge of managers, exchange of businesses with arrears, the existence of cover-businesses, the priority of businesses over their formation.

The results showed that the dominant logic for the formation of state-owned companies was the logic of coercion and for private companies, three logics of synergy, business, and managersthinking were identified. Among the constituent factors of each logic based on the frequency of interviews for the logic of coercion of structural factors, for the synergistic logic of structural factors, for business logic, underlying factors, and finally for the logic of the thought of managers of behavioral factors as the main factors were selected.

Social marketing is based on meeting the needs and wants of customers in the short term in a worthier way than competitors. The long-term benefits of the target market as well as the promotion of the welfare and health of the community. The purpose of this study is to identify and localize indicators and components of social marketing in order to achieve the goals of the Tax Administration. The method of this research is applied-developmental in terms of purpose and descriptive in terms of implementation method. The research strategy in the first stage was qualitative content analysis and in the second stage was conceptual mapping. In the qualitative content analysis, scientific documents related to the research topic were purposefully selected and components and indicators were identified. The results of the first step were localized through interviews with 11 experts of the tax administration. The results showed that in order to change the attitude of taxpayers and consequently stimulate tax payment behavior, components of law compliance, development of tax culture and participation of organizations are more important and components such as identifying and understanding the needs of taxpayers, formulating tax strategies, proper policy and transparency of e-services fall into the next categories. The results of the present study, which is based on social marketing in order to prevent tax evasion and improve the attitude of taxpayers, can provide a good basis for decision makers in this government institution and pave the way for social growth through voluntary tax collection.

Since the resources are limited in each industrial region, it is logical to allocate resources to the most efficient industries. Recently, based on the environmental conditions and geographical position of Tehran, the capital of Iran, this city is in critical environmental situation. Therefore, assessing both environmental and industrial efficiency of Tehran’s production industries is essential. In this regard, network Data Envelopment Analysis is used in order to compare total efficiency of the industries including environmental and operational efficiencies. Network Data Envelopment Analysis is a developed form of standard DEA and looks inside the black-box in order to assess the partial efficiency in addition to the total efficiency which will results to a multi-objective problem. The contribution of this research is introducing a technique for assessing the efficiency of a network structure by means of the developed form of network DEA technique which minimizes the distance from the individuals’ independent efficiency with a linear optimization approach. Results show the advantages of the proposed model.