Fuzzy cognitive mapping of factors influencing decision-making towards digitization of human resources management

Digitization of human resource management has become increasingly widespread in modern organizations due to advancements in technology and the need for efficient workforce management. In this context, understanding the factors influencing the decision to DHRM is crucial for organizations that seek to effectively use technology to achieve strategic human resource goals. Therefore, the aim of the research is to find out firstly what are the factors influencing the decision-making towards DHRM and secondly, what are the relationships between these factors. In terms of research orientation, the current research is considered to be a type of applied research, inductive in terms of research approaches, and mixed (qualitative-quantitative) in terms of research strategies. First, in order to identify the factors influencing decision-making for digital human resources management, a semi-structured interview was conducted with 11 experts in this field. Sampling of experts was in the form of snowball. Then, using thematic analysis method, the interviews were analyzed and the factors were obtained. In the second step, the fuzzy cognitive mapping method was used to discover the relationships between the extracted factors. The results showed that these factors are: organizational culture (0.86), resource allocation and investment (0.83), technology infrastructure (0.79), leadership and perspective (0.73), acceptance change and Resistance (0.69), organizational structure and governance (0.62), organizational size and complexity (0.58), employee skills and participation (0.54), data security and privacy (0.48), customization and Personalization (0.45). Also, the relationships of each component with its sub-components were determined and suggestions were made for using the research findings.