درخت حوزه‌های تخصصی

Huge economic, social, political, and technological changes in recent decades have brought increasing complexity and decreasing predictability of organizations' environments. One of the solutions offered to deal with such environments is the agile approach to human resources. This research was conducted with the aim of investigating the driving factors in human resource agility based on government policies. The current research is developmental in terms of purpose and descriptive survey in terms of the method with a combined (qualitative and quantitative) approach. The research community in the qualitative part included professors, experts in the field of human resources, and senior managers of the human resources department, and in the quantitative part, the senior and middle managers of the country's tax affairs organization who had a bachelor's degree or higher. Relevant data were extracted from theoretical literature and semi-structured open interviews in the qualitative section. The tool for data collection was a researcher-made questionnaire in the quantitative part. The results of the qualitative part led to the identification of 13 main categories, which are categorized into four main clusters (The propellants of human resource agility, Human resource agility policies, operational components of human resource agility, and Results and Functions of human resource agility) and became a five-point Likert scale questionnaire. The results of confirmatory factor analysis showed that all items have a significant relationship with the structure and the proposed structural model has a good fit. The results of the path analysis showed that the operational components of human resource agility have a mediating role in the relationship between the drivers of human resource agility and the results and functions of human resource agility. Human resource agility policies have a mediating role in the relationship between the propellants of human resource agility and the results and performance of human resource agility.

The article is devoted to the digitalization of biocluster management on the basis of a balanced scorecard. It is proved that a biocluster, as a local model of business concentration that integrates environmentally oriented enterprises, through a combination of traditional and new technologies, resource saving and diversification of the range of environmental products, is able to satisfy various customer requests in one place and time, to ensure competitive advantages and integration into the world economic space. The concept of applying a balanced scorecard in the strategic biocluster management was formed. The technology of formation and mechanism of implementation of the balanced scorecard and digital data processing technologies into the management information system of strategic biocluster management was proposed. The digital outline of the strategic program for transferring the mission and strategy of the biocluster to the mode of effective use, capacity building and development was formed. The scorecard for strategic management of the biocluster was developed, the study of the dynamics of which allows to determine the strengths and weaknesses of the biocluster, to identify tolerance and resilience to changes in the business environment, to identify ways to achieve the set development goals.

Automotive industry particularly, commercial automotive industry, ranks as a key industry in the economic growth. The necessity of investigating the research & development(R & D) activities of digital marketing and innovation in the form of a dynamic system in automotive industry based on the 3 variables: empowerment of supply network, of product innovation, and of digital marketing is quite undisputed. The present research has been done with a view to identifying and evaluating the cause-and-effect interdependent relations governing the variables of R & D of digital marketing and innovation in commercial automotive industry. The research is typically applied, and has been done using the descriptive-survey method. The research community consisted of 50 experts; all with acceptable academic backgrounds and years of experience as executive managers and marketeers in the R & D of automotive industry. To analyze the data, the views of some elected experts on automotive industry, along with Delphi fuzzy and Dematel method were applied. Our findings showed that the variable “Intensity of R & D of digital marketing and innovation” has the most effect on the other variables. The variable “Empowerment of supply network” with the score of 3,25 has the largest amount of interaction with the other variables. Also, the variable “ Empowerment of R & D in digital marketing and innovation” with the score of 1,08 has the smallest amount of interaction with the other variables.