فصلنامه پژوهش های مدیریت در ایران
سال بیست و ششم شماره 3 (پیاپی 117، پاییز 1401)

Alliance Proactiveness (AP) refers to the organization's innovative response to identifying and responding to strategic alliance opportunities. This study seeks to provide a model of AP for high-tech firms in order to act competitively and synergize with potential partners to achieve superior business performance over their rivals and achieve a superior competitive advantage. The approach of the present study is mixed method which its nature is qualitative in the qualitative part and practical in the quantitative section. Qualitative data were collected through semi-structured interviews with 18 academic experts and managers of high-tech Iranian companies with a history of strategic alliance in their activities, and continued through theoretical and snowball sampling to reach the theoretical saturation point. Also data were collected using a questionnaire in a quantitative section. After coding the qualitative section interviews, 353 open codes, 93 sub-categories and 29 main categories were conceptualized and the research model in the qualitative part was extracted in causal, pivotal, strategies, contextual, intervening and consequences dimensions. The components of market complexity and leadership, foresight approach, partner monitoring, legitimacy and cultural interaction, critical turbulence, and continuous competitive advantage were placed in these dimensions, respectively. Finally, the fit of the research model in the quantitative part led to the confirmation of the five hypotheses.

The main issue in management science is decision making, and the success or failure of any manager can be considered dependent on his decisions. One of the methods that can help a lot in the correctness of managers' decisions is collective decision-making. This article tries to explain the concepts related to collective decision making and then the most important questions related to this method are answered using the grounded theory method. In this article, using the semi-structured interview, the opinions of 36 organizational and academic experts have been used. After collecting data through interviews, the components were coded openly, axially, and selectively. The results show that there are 35 concepts around the central phenomenon of collective decision-making that can be divided into 6 categories: causal conditions, contextual conditions, intervening conditions, central phenomenon, strategies, and consequences. An important innovation of this paper is the presentation of a collective decision model using the grounded theory method that can convey useful information to managers in a concise manner, and motivate them to use this method.

This study aims to identify the factors Influencing the online buying experience through retail mobile applications and modeling their internal communications. In this regard, an attempt was made to screen and finalize the detected indications using the Delphi method with the assistance of experts, based on the indicators identified in the theoretical model of customer experience in retail mobile applications (CERM). The Delphi approach was used in three stages to eliminate 21 indications. The extraction model was then examined and the components were graded using interpretive structural modeling. Finally, the power of influence and degree of dependence of the components were examined using Mic Mac analysis. The capabilities of the mobile device, according to the findings of this study, are the most effective aspect in establishing a customer experience in retail mobile applications. In circumstances where decision-making is beyond the control of mobile app designers and retailers, this indicator, which is represented in the screen size of the phone, the type of mobile operating system, and the use of capabilities such as GPS, has the largest impact on the online buying experience. The key dimensions determining the customer experience were also discovered to be divided into six tiers, each of which has an impact on the others. This research was able to provide a more in-depth look at the aspects that influence customer experience in the retail business, particularly sales via retail mobile applications.

The emerging literature of human capital promotes the role of knowledge staff as a key source of innovation in knowledge-based and innovator companies and requires innovative employee capabilities in terms of management programs. In that regard, this research aimed to provide a model of human resource management in knowledge-based and innovator companies with a mixed approach (qualitative-quantitative). The qualitative section was performed using the meta-systhesis method and as a result of a seven-stage process, a total of 32 documents were selected as a qualitative division sample and analyzed. A quantitative section was also descriptive using survey method. Sampling was carried out in a convenience sampling and 102 managers and employees of knowledge-based and innovator companies participated in research. Data were analyzed during the process of initial and secondary coding and data collected data were analyzed using SPSS software and SMART PLS software and in two descriptive and inferential sections. The findings of the qualitative section in the form of 8 key functions and 51 duties of human resource managers were counted and presented, and the results of survey also confirmed the pattern fitting, which was compensating for services and motivation; Education, development and creation of learning environment; timing and participation; management of performance evaluation; management of talent and competence; maintain and promote knowledge worker; identification, recruitment and employment and human resources policies in order, are among the most important human resources policies functions of knowledge-based and innovator companies.

In order to gain a better understanding of the ecological movement of a particular nation, it is important to test how consumers in that country view environmental issues and, consequently, how they behave. Therefore, the purpose of this study is to Analyzing the role of skepticism green advertising and usefulness of information on intention to purchase green products with the moderating role of independent and dependent self-interpretation among users who visit organic ads on Instagram. The present study is a correlational study in terms of classification based on the research method and applied research in terms of based on purpose. The statistical population of this study includes all Tabriz users who visit ads for organic products on Instagram. According to Cochran's formula, 384 people were obtained by the available sampling method. The data collection tool is a standard questionnaire based on the Likert scale. Data were analyzed using SPSS software version 23 and SMART-PLS software version 3. The results of the study showed that pessimism about green advertising and the usefulness of information affects the intention to buy a green product. In addition, pessimism about green advertising affects the usefulness of information. Finally, independent and dependent self-interpretation moderates the relationship between the usefulness of information and the intention to buy green.

Researchers have stated that the main cause of car accidents is human error. Autonomous vehicle or driverless car can probably eliminate human error. They can also bring other benefits such as resource efficiency and reduced traffic. Many companies, such as Google and Tesla, have moved into the development of autonomous vehicle. Therefore, it is necessary to provide technological, social and economic infrastructure from now on. The purpose of this study was to write a scenario of different situations of autonomous vehicle. The research method was that first the factors affecting this technology were extracted from the literature review and these factors were used as the basis for interviews with experts. Experts removed, approved, or added these factors. Content analysis of expert interviews was performed with MAXQDA software and then key effective factors were identified by MICMAC software through Cross-Impact Balances. In the next step, different scenarios were considered for these key factors with SCENARIO WIZARD software. Findings of the study were that four scenarios were proposed by SCENARIO WIZARD software, one of which was a favorable scenario, an unfavorable scenario and two static scenarios. The favorable scenario of the analysis and suggestions on how to achieve it were also presented. Knowing this favorable scenario from now on, we can provide the necessary preparation for the favorable future of autonomous vehicle so that the best of this new technology can be implemented in the country.

Cause-related marketing is an attractive way for companies to gain a competitive advantage, where it evokes a sense of altruism and benevolence in customers. Companies and organizations use this method to achieve their business goals and respond to corporate social responsibility. However, research in cause-related marketing has been sparse, and there is a need for a comprehensive study of past research and current trends. This study is a bibliometric analysis using Vosviewer and Gephi software, which was selected to review this area using 454 articles conducted in Q1 and Q2 journals between 1987 and 2022; it has explored the field of cause-related marketing studies. First, the number of articles, citations, bibliographic coupling, co-word analysis, and Prestige analysis were examined for this study. Then, co-authorship analysis, co-citation analysis, and dynamic co-citation analysis were used for network analysis. Finally, according to the analysis, four main thematic areas were identified, which include planning and how benevolent marketing performs well, attitudes and views on cause-related marketing, the role of a cause-related marketing brand, and promotion interaction with cause-related marketing; The two areas of attitudes and views on cause-related marketing and promotion interaction with cause-related marketing according to the trend of their articles can be expected to attract more attention in the coming years.

This study intends to identify the factors affecting the formation of the relationship between consumer mindset and brand engagement, and therefore, investigate the importance of mindsets in consumer behavior field. Previous research that examined consumer mindset are scattered and mostly use a certain varible as moderator or mediater in relation with it. The aim of this study is to analyze and synthesise previous findings and provide a relatively comprehensive framework for rooting out the relationship between the consumer mindset and brand engagement. For this purpose, this study is carried out using the principles of interpretive paradigm and inductive approach and implementation of meta-synthesis strategy. The statistical population includes all researches in the field of consumer mindset with a brand engagement approach. The sample consists of 76 selected researches in this field. In the analysis phase, the content analysis techniques were used. Finally, after analyzing all studies, 7 main categories and 12 subcategories were extracted. These categories include consumer mindset, brand attitude, self-brand connection, perceived value, social media using motivation, brand personality, and purchase intention. The outputs of the present study can explain the leading path for future research.