Investigating factors affecting the acceptance of m-government based on fuzzy cognitive map in Iran
Subject Areas :Maryam Mehrparvar 1 , Zahra Mohemmi 2 , Fateme Dadmand 3
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Keywords: Iran, Fuzzy Cognitive Map, m-government, usinet software,
Abstract :
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.
Abaza, M., & Saif, F. (2015). The adoption of mobile government services in developing countries. International Journal of Computer Science Issues (IJCSI), 12(1), 137.
Ahmad, S. Z., & Khalid, K. (2017). The adoption of M-government services from the user’s perspectives: Empirical evidence from the United Arab Emirates. International Journal of Information Management, 37(5), 367–379. https://doi.org/10.1016/j.ijinfomgt.2017.03.008
Almarashdeh, I., & Alsmadi, M. K. (2017). How To Make Them Use It? Citizens Acceptance Of M-government. Applied Computing and Informatics, April. https://doi.org/10.1016/j.aci.2017.04.001
Alotaibi, R., Houghton, L., & Sandhu, K. (2016). Exploring the Potential Factors Influencing the Adoption of M-Government Services in Saudi Arabia: A Qualitative Analysis. International Journal of Business and Management, 11(8), 56. https://doi.org/10.5539/ijbm.v11n8p56
Alotaibi, R., Houghton, L., & Sandhu, K. (2017). Factors Influencing Users ‟ Intention s to Use Mobile Government Applications in Saudi Arabia : TAM Applicability.
Alwahaibi, Y., & Garfan, S. A. (2015). P roposing a M-G overnment F ramework for the M inistry of Housing in Oman for Efficient D igital Literacy and Services : Work-in-Progress. 89–92.
Bakhshimazdeh, M., & Alikhasi, M. (2015). Analysis of strategic and organisational factors of mobile government by using fuzzy approach. International Journal of Business Information Systems, 19(1), 119–138. https://doi.org/10.1504/IJBIS.2015.069068
Chen, Z., Vogel, D., & Wang, Z. (2016). How to satisfy citizens ? Using mobile government to reengineer fair government processes. Decision Support Systems, 82, 47–57. https://doi.org/10.1016/j.dss.2015.11.005
Felix, G., Nápoles, G., Falcon, R., Froelich, W., Vanhoof, K., & Bello, R. (2019). A review on methods and software for fuzzy cognitive maps. Artificial Intelligence Review, 52(3), 1707–1737. https://doi.org/10.1007/s10462-017-9575-1
Huda, M. N. (2023). Analysis the Critical Factors of M-government Service Acceptance: An Integrating Theoretical Model between TAM and ECM. Policy & Governance Review, 7(2), 109–124.
Inan, D. I., Hidayanto, A. N., Juita, R., Firman, A., Muktiyanto, A., Arifin, H. W., Darmawan, M. R., Shafira, N. Y., & Michelle, C. (2022). M-Government Adoption in Indonesia: Self-Determination Theory. 2022 Seventh International Conference on Informatics and Computing (ICIC), 1–6.
Isagah, T., & Wimmer, M. A. (2017). Mobile Government Applications : Challenges and Needs for a Comprehensive Design Approach.
Isagah, T., & Wimmer, M. A. (2018). Framework for designing m-government services in developing countries. ACM International Conference Proceeding Series. https://doi.org/10.1145/3209281.3209334
Mtingwi, J. E., Mawela, T., & Leornad, A. (2019). M-government adoption framework for least developed countries: The case of Malawi. 2018 International Conference on Intelligent and Innovative Computing Applications, ICONIC 2018, 1–8. https://doi.org/10.1109/ICONIC.2018.8601213
Nusir, M. (2022). Investigating the Adoption of Mobile Government from Citizen’s Perspectives in Saudi Arabia. International Conference on Mobile Computing, Applications, and Services, 105–116.
Sadik, M., Razalli, M. R., & Radzuan, K. (2023). GENDER AS A MODERATOR: EXAMINING RELATIONSHIP BETWEEN TECHNOLOGY READINESS, HEDONIC MOTIVATIONS AND USERS’ACCEPTANCE OF MOBILE GOVERNMENT SERVICES IN PAKISTAN. International Journal of EBusiness and EGovernment Studies, 15(1), 134–173.
Talukder, M. S., Chiong, R., Corbitt, B., & Bao, Y. (2022). Critical factors influencing the intention to adopt m-government services by the elderly. In Research Anthology on Supporting Healthy Aging in a Digital Society (pp. 1028–1050). IGI Global.
Taylor, P., Shareef, M. A., Dwivedi, Y. K., Stamati, T., Williams, M. D., Shareef, M. A., Dwivedi, Y. K., Stamati, T., & Williams, M. D. (n.d.). SQ mGov : A Comprehensive Service-Quality Paradigm for Mobile Government SQ mGov : A Comprehensive Service-Quality Paradigm. January 2015, 37–41. https://doi.org/10.1080/10580530.2014.890432
Wang, C., & Teo, T. S. H. (2020). Online service quality and perceived value in mobile government success: An empirical study of mobile police in China. International Journal of Information Management, 52(January), 102076. https://doi.org/10.1016/j.ijinfomgt.2020.102076
Wirtz, B. W., & Birkmeyer, S. (2018). Mobile Government Services: An Empirical Analysis of Mobile Government Attractiveness. International Journal of Public Administration, 41(16), 1385–1395. https://doi.org/10.1080/01900692.2017.1390583
Zhang, M., Zhao, X., Xue, Y., Yang, J., & Zhang, Y. (2023). A meta-analysis of how the culture and technical development level influence citizens’ adoption of m-government. International Review of Administrative Sciences, 89(1), 129–144.