Managing the Adoption of Business Intelligence in Human Resources Based on Soft Systems Methodologies and Systems Dynamics

 The purpose of the present research is to investigate, analyze and predict the strategies governing the adoption of business intelligence in the decisions of the Iranian Electricity Network Management Company, to policy science, technology, and innovation based on business intelligence in this company. In the first step, the research is based on the theory of technology-organization-environment while identifying the barriers and facilitators of using business intelligence in the organizational decisions of the Iranian Electricity Network Management Company using the three-way method including study, observation, and semi-structured interviews with data collection experts. And it was done through the method of thematic analysis of the coding process. In the next step, by combining soft system methodology and system dynamics, and using Rapidminer and Vensim software, the acceptance and use of this technology has been predicted in five years. For this purpose, by using cause-and-effect relationships and in the form of a dynamics model, circular and flow diagrams were modeled, and based on the opinion of experts, the necessary corrections were made to the output at this stage. In the following, the simulation was carried out for five years using a developed model using dynamic systems thinking. According to the research findings, the research system is controllable and has observable effects. That is, the inputs of the system control the variables of the state and each of the variables of the state affects some of the outputs of the system. Based on this, scenarios were obtained with changes in individual factors, organizational factors, environmental factors, and extra-environmental factors. The result is that the inappropriate localization of technologies, the insularity of information systems, the contradiction of security instructions, and the resistance of human resources in front of security policies are among the factors with a negative impact on the establishment of the sub-system of optimal allocation of human resources., the establishment of an education sub-system, security policies, establishment of the steering committee, establishment of systems integration sub-system, and establishment of a knowledge-based companies sub-system were recognized as positive predictors for the adoption and application of business intelligence.