Fuzzy Delphi Technique

INTRODUCTION: A good organizational citizen is a thought and idea that includes various behaviors of employees such as accepting and assuming additional duties and responsibilities, following organizational rules and procedures, maintaining and developing a positive attitude, being patient, and tolerating dissatisfaction and problems in the workplace. The increase in the level of organizational citizenship behavior (OCB) in the organization makes the organization an attractive environment for work. In other words, the desired level of OCBs affects the improvement of the performance of employees and, in general, the organization. The Iranian Red Crescent Society is one of the human-centered organizations, and observing the indicators of citizenship behavior is one of the effective factors in the success of its performance. Therefore, this study aimed to investigate the OCB from a social perspective in the Iranian Red Crescent Society. METHODS: The present applied study was conducted based on an exploratory qualitative approach. The statistical population of this study consisted of all managers and employees of the Iranian Red Crescent Society. The required data were collected using in-depth semi-structured interviews, which reached saturation after holding 14 interviews. To analyze the data, content analysis, meta-synthesis, and fuzzy Delphi methods using grounded theory were applied. The MAXQDA software (version 10) was used in the theory analysis process. FINDINGS: In this study, the results were classified into 78 concepts, 14 sub-criteria, and 2 main criteria, including the dimensions of citizenship behavior and the consequences of citizenship behavior. The most important dimensions of OCB consisted of the categories of helpful behaviors, individual creativity, organizational obedience, organizational loyalty, chivalry, civic virtue, and personal growth. CONCLUSION: The results of data analysis showed that the categories of increasing performance productivity and effectiveness, promoting positive relationships among employees, boosting efficiency in resource allocation, reducing maintenance costs, creating the necessary flexibility for innovation, improving customer service, using rare resources effectively were the most important consequences of observing OCB from a social perspective in the IRCS.

This research uses a fuzzy Delphi approach to identify the dimensions and components of investor risk and financing for IT-based startup companies. The statistical population for this study consisted of 30 experts and university professors familiar with the research concepts surveyed to select the dimensions and components identified from the literature and prior research. The results from the fuzzy Delphi method showed that the financing and investor risk dimensions were selected in 9 dimensions and 29 components. The weighting results for the research dimensions and components using the Best-Worst Method (BWM) prioritized each. The weighting results indicate that the industry status ranked first, followed by scientific factors and other components, ranked third to ninth in the LINGO software. Additionally, the intensity of relationships among the research dimensions was assessed using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique. The analysis of the intensity of relationships among the dimensions shows that the government factors dimension had the highest numerical value based on the row sum, making it the most influential dimension among those examined in financing startup companies using the DEMATEL technique. Conversely, based on the D-R analysis, the geographic factors dimension received the lowest value and was recognized as the most affected dimension. Using the fuzzy Delphi method, this research has identified specific and novel dimensions and components, such as governmental, geographical, and scientific factors, which have been less addressed in the existing literature.