With the joint cooperation of Payam Noor University and the Scientific Association of Iran Public Library Advancement

Document Type : Research Paper

Authors

1 Msc, Department of Marketing Management, Tehran, Iran.

2 Lecturer, Department of Management, Scientific-Applied Center for Piping, Ahvaz, Iran.

Abstract

Purpose: Energy Internet is a new approach that has been proposed in response to the crisis of energy consumption and control of non-renewable resources. Therefore, this study was conducted with the aim of modeling the implementation of energy Internet in government organizations.

Methodology: The research is based on the purpose of fundamental studies and from a philosophical perspective with an approach based on interpretive paradigm. In terms of method and time period of data collection is also in the category of cross-sectional survey studies. The statistical population of the study included the directors of strategic government research who participated in this study by non-probabilistic sampling method and purposeful nine people. The main data collection tool in this study was semi-structured interviews with experts in the field of public administration. The soda method has been used to identify categories of energy internet. Causal mapping method has been used to identify the pattern of causal relationships and present the final pattern.

Findings: Based on soda analysis, 17 factors were identified as indicators of the energy Internet pattern. Based on the pattern of energy internet networks, 17 categories and 159 relationships have been identified. The index of correct implementation of energy internet in government organizations has the highest dependence and the least influence. The index of access to up-to-date hardware facilities and equipment with 19 relationships was at the center of the cluster model relationships.

Conclusion: The set of financial resources required to use the energy Internet, the determination to use the energy Internet at the macro level, the existence of appropriate software infrastructure and access to up-to-date hardware facilities and equipment are the model variables that should be considered by officials and policy makers.

Keywords

Main Subjects

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