Modeling
abdollah saedi
Abstract
In the mushroom management style, employees are kept in the dark and are only given knowledge and information within the framework of their tasks.. In fact, managers always hoard knowledge and information to protect their own interests and lead employees to isolation. The present study was conducted ...
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In the mushroom management style, employees are kept in the dark and are only given knowledge and information within the framework of their tasks.. In fact, managers always hoard knowledge and information to protect their own interests and lead employees to isolation. The present study was conducted with the aim of designing a mushroom management style model in government organizations.This research is a mixed research (qualitative-quantitative) in the deductive-inductive paradigm and has an applied objective and a descriptive-survey nature. The statistical population in the qualitative and quantitative parts of the research consists of managers of government organizations and university professors, who were selected as samples using the purposive sampling method and based on the principle of theoretical adequacy. The data collection tool in the qualitative part is a semi-structured interview, the validity and reliability of which were confirmed using content validity and intra-coder and inter-coder reliability, respectively. On the other hand, in the quantitative part of the research, a researcher-made questionnaire (based on data from the qualitative part) was used to collect data, the validity of which was accepted using content validity and test-retest reliability. By analyzing the data using content analysis and software, the indicators of the mushroom management style in government organizations were identified, including maintaining power and status, poor communication system, lack of employee awareness, hoarding of knowledge, feeling of incompetence, increasing employee dependency, poor performance, conflicting behaviors, trickle-down sharing of knowledge, rumor-spreading, reduced motivation, lack of participation, organizational pessimism, authoritarianism, leaving the service, and reduced organizational credibility. Finally, a model of the mushroom management style in government organizations was designed using a structural-interpretive approach. The results show that reduced organizational credibility, organizational pessimism, leaving the service, and poor performance are the achievements of mushroom management in government organizations.
Modeling
Abdollah Saedi; Nazanin Asadi
Abstract
Big data in the organization can create insight that leads to better decision-making and discovering strategic paths. The purpose of this research is to analyze and evaluate the consequences of big data in human resource management in government organizations. This research is practical in terms of its ...
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Big data in the organization can create insight that leads to better decision-making and discovering strategic paths. The purpose of this research is to analyze and evaluate the consequences of big data in human resource management in government organizations. This research is practical in terms of its purpose, and in terms of the method of collecting descriptive information, it is of the survey type, and in terms of typology, it is among mixed research. The statistical population of the research includes university professors in the field of management and human resource managers in government organizations, 17 of whom were selected using the purposeful sampling method and based on the principle of theoretical adequacy. In the qualitative part of the data collection tool, there is a semi-structured interview, the validity and reliability of the tools were confirmed using content validity and intra-coder and interrater reliability methods, respectively. The tool for collecting data in the quantitative part is a questionnaire, which was confirmed using content validity and retest reliability. In the qualitative part of this research, the data obtained from the interview were identified using the Max-QDA-E software and the analysis coding method and the consequences of big data in human resource management. In the quantitative part of the research, the prioritization of factors and their causal relationships were determined using the fuzzy cognitive mapping method. The results show that intelligent recruiting and hiring, identifying skill gaps, foresight, talent management, eliminating discrimination and retention, employee retention and performance management are respectively the most important consequences of big data in human resource management. The governance of big data in government organizations enables human resource managers to act more intelligently in the fields of human resources such as recruitment and employment, recruitment, salary system, etc.
