Investigating factors affecting the acceptance of m-government based on fuzzy cognitive map in Iran

The increasing importance of communication and information in today's society has necessitated the use of cutting-edge technologies in the field. This research focuses on the adoption of mobile government services and aims to identify the needs and effective components for successfully providing government services through mobile platforms. By analyzing the causal structure underlying the adoption of mobile government, this study offers insights into the key factors that influence users' attitudes and behaviors towards these services. The research employs a descriptive-survey research method to collect data from experts in the field of information and communication technology as well as university professors. A total of 10 individuals were selected as the sample through a non-probability snowball sampling technique. The data collection process involved conducting semi-structured interviews, allowing for in-depth exploration of the participants' perspectives and insights. To analyze the collected data, the research utilizes the fuzzy cognitive mapping method and USINET software.  Based on previous studies on mobile government success, this research identifies several dimensions that are crucial for the successful provision of government services through mobile platforms. These dimensions include Mobility, Localizability, Security, Perceived Value, Ease of Use, Awareness, Trust, Privacy, Social Influence, and Usefulness. By considering these dimensions, policymakers and service providers can better address the needs and expectations of mobile government users. The findings of the research highlight the significance of users' perceptions of usefulness and ease of use in shaping their attitudes towards adopting mobile government services. Therefore, it is essential for government agencies to prioritize these aspects in the design and implementation of mobile government initiatives.