درخت حوزه‌های تخصصی

Purpose: The purpose of this study is to design an organizational performance model based on the digital status of the organization in the Corona pandemic with a theme analysis approach in the Ministry of Industry, Mine, and Trade (MIMT).Method: This research was conducted with a qualitative approach. The research tool (data collection) was a semi-structured interview in which 27 elites and qualified specialists in MIMT (statistical population of this study) were selected using a purposive sampling approach to qualitative sampling.Finding: The results of data analysis in the qualitative section in the open coding stage identified 79 codes, which finally through axial coding achieved  3 categories (main category) and 21 indicators (subcategory).Conclusion: The main mission and goal of the managers of any organization is the effective and efficient use of various resources and facilities such as labor, capital, materials, energy, and information. Digital transformation, which has always been important as a fundamental and strategic action in organizations, has become more important in recent years following the outbreak of coronavirus; the pressures of the coronavirus epidemic have accelerated the efforts of organizations to create digital transformation

Purpose: The purpose of this research was primarily to design the electronic customer relationship management model and explain its consequences.Method: Validation of electronic customer relationship in private banks based on mixed research and descriptive-exploratory method were used. On this basis, with the help of data-based theorizing method, the categories forming the model were identified by open coding, and then with the benefit of central and selective coding, the desired model was presented. Also, in the following, the validation of the model among the studied population was discussed using the method of structural equation modeling. The statistical population for presenting the model includes banking industry experts (consisting of senior bank managers with at least 10 years of work experience and academic experts in the field of digital marketing with at least 5 years of experience working in the banking system) and for validating the model two categories of managers and employees of private banks. The research is limited to the city of Tehran and the local customers . The statistical sample of experts up to the stage of theoretical saturation is 16 people using a purposeful judgemental method, and for the model validation stage, 230 people were selected based on the rules of sample size in the structural equation method. The data collection tool included a semi-structured interview for the modeling stage and a questionnaire with a five-point Likert scale for the validation stage.Findings: The findings showed that 67 basic themes (selective concepts) were categorized and after reviewing, 20 organizing themes (dimensions) were obtained and finally these dimensions were divided into 7 general categories: organizational factors, individual factors, contextual factors, environmental factors, frameworks, strategies, consequences were categorized. The main category identified in this research is "Implementation of E-CRM" and other categories are presented under the headings of causal conditions, background factors, strategies, and consequences.Conclusion: The results of the calculated value (GOF) for the structural model of the research was calculated as 0.387, which indicates the overall strong performance of the structural equation model of the research. Also, the findings of the quantitative part have confirmed the validity of the structural model of the research and demonstrated the truth of hypotheses of the research (except for hypotheses No. 9, 11, 15, 16, and 17)

This research has evaluated the innovation components in information technology startups with a focus on Industry 4.0. The approach of the current research is of a qualitative type and was implemented based on the meta-composite approach. On this basis, all articles published in ISI magazines, books and internal and external theses related to the topic of innovation in the field of startups and in the period of 2015 to 2021 were examined. According to the SIP model, the researchers identified 17 concepts and 96 codes for each of the 4 categories of substrate (background), input (input), the main category of process and output (output), which were paid attention to in internal and external studies. The results of this research will help researchers and practitioners in the field of innovation in information technology startups to know what variables and components should be included in the four sectors of the platform for a comprehensive understanding of the innovation development of startups based on the 0.4 industry. Pay attention to the main category of process and output. The present study contributes to the literature on startup technology innovation in information technology and its practices and outlines desirable practices for future researchers.

Antecedents destructive organizational behaviors impose many direct and indirect costs on organizations, therefore, in the current situation, paying attention to it has gone beyond a choice and has become a necessity. This research was done with the aim of identifying the antecedents of destructive organizational behavior in the banking system. The type of research is developmental in terms of purpose. For this purpose, after searching the databases, 582 articles were evaluated in the field of destructive organizational behaviors between 2000 and 2022, and finally, 55 articles were selected in a targeted way and entered the analysis stage. Based on the final framework of the research, the antecedents of destructive organizational behaviors were categorized in the form of two main categories and six subcategories. The main categories resulting from the research results are: facilitating antecedents and limiting antecedents of destructive organizational behaviors. Facilitating and limiting antecedents of destructive organizational behaviors each includes three categories of behavioral, structural, and contextual facilitating and limiting factors. The obtained framework can be used as a tool for strategic planning in the field of destructive organizational behaviors.

Undoubtedly, the present is the age of organizations and custodians of these organizations are humans, humans who, by possessing the greatest source of power, that is, thinking, can create the causes of excellence, movement and growth of organizations. By integrating effective talent management strategies into their workforce programs, organizations can use proven methods and systems to properly optimize human capital resources to increase their competitive advantage and maintain their market share. In this article, the system dynamics method is used in the design of the talent management system model. In this research, using articles, library sources, and using the opinions of experts and experts of the National Petroleum Products Distribution Company, as well as academic experts in the field of talent management, cause and effect diagrams have been drawn. Vensim software has been used to design the dynamic model of the system and the variables of talent alignment, human resources empowerment, organizational strategy and talent evaluation are the accumulation variables. The talent management model is specified as the final accumulation variable. Other variables are communication skills, mental characteristics, moral values, flow variables, and finally, five scenarios were developed to analyze the talent management system.