Determining Factors Affecting Mobile Government Usage: Ankara Province Case

Öz

The developments in wireless and mobile technologies have increased the interest in the mobile government (m-government), which is a new channel in providing services to the citizens. It is critical users adopt and use the services offered through the m-government application.The purpose of this study is to determine the factors affecting the use of m-government. As a result of the literature review, a theoretical model consisting of seven factors (information quality, security perception, trust, service cost, ease of use, social impact, usefulness) was created and hypotheses of the study were presented. M-Government Usage Scale (M-GUS) was developed as a data collection tool. The data of the study was collected from 183 university students studying in three public universities in Ankara in January 2020. The scale was prepared to determine the factors affecting the use of m-government. The factor structure was analyzed by using the LISREL package program. The construct reliability and convergence validity of the scale were performed by confirmatory factor analysis (CFA). As a result of the analysis, t values, error variances, standard coefficients and fit indexes of the seven factors in the theoretical model were checked. As a result of the study, it was observed that six factors except the service cost, which is one of the seven factors in the theoretical model, affect the use of m-government.

Anahtar Kelimeler

• M-Government
• Usage Of M-Government
• Structural Equation Model
• Turkey

Mobil Devlet Kullanımını Etkileyen Faktörlerin Belirlenmesi: Ankara İli Örneği

Öz

Kablosuz ve mobil teknolojilerde yaşanan gelişmeler halka hizmet sunmada yeni bir kanal olan mobil devlete (m-devlet) olan ilgiyi arttırmıştır. Bu doğrultuda m-devlet uygulaması üzerinden sunulan hizmetlerin kullanıcılar tarafından benimsenmesi ve kullanılması kritik öneme sahiptir. Bu çalışmanın amacı, m-devlet kullanımını etkileyen faktörlerin belirlenmesidir. Literatür taraması sonucu m-devlet kullanımını etkilediği düşünülen yedi faktörden (bilgi kalitesi, güvenlik algısı, güven, hizmet maliyeti, kullanım kolaylığı, sosyal etki, yararlılık) oluşan kuramsal model ve çalışmanın hipotezleri oluşturulmuştur. Veri toplama aracı olarak M-Devlet Kullanımı Ölçeği (M-DKÖ) geliştirilmiştir. Çalışmanın verileri Ocak 2020 tarihinde Ankara’daki üç devlet üniversitesinde öğrenim gören 183 üniversite öğrencisinden toplanmıştır. M-devlet kullanımını etkileyen faktörlerin belirlenmesi için hazırlanan ölçeğinin faktör yapısı LISREL paket programı kullanılarak analiz edilmiştir. Ölçeğin yapı güvenirliği ve yakınsama geçerliği doğrulayıcı faktör analizi (DFA) ile gerçekleştirilmiştir. Analizler sonucu kuramsal modeldeki yedi faktörün t değerleri, hata varyansları, standart katsayıları ve uyum indeksleri kontrol edilmiştir. Çalışma sonucunda kuramsal modeldeki yedi faktörden biri olan hizmet maliyeti dışındaki diğer altı faktörün m-devlet kullanımını etkilediği görülmüştür.

Anahtar Kelimeler

• M-Devlet
• M_devlet kullanımı
• Türkiye
• Yapısal Eşitlik Modeli

Kaynakça

1. Abdelghaffar, H. ve Magdy, Y. (2012). The Adoption of Mobile Government Services In Developing Countries: The Case Of Egypt, International Journal of Information and Communication Technology Research, 2(4), 333-341.
2. Abu-Shanab, E. ve Haider, S. (2015). Major Factors Influencing The Adoption Of M-Government in Jordan, Electronic Government, an International Journal, 11(4), 223-240.
3. Al-Hadidi, A. ve Y. Rezgui, Y. (2010). Adoption And Diffusion Of M-Government: Challenges And Future Directions For Research. In Working Conference on Virtual Enterprises, 88-94, Springer, Berlin, Heidelberg.
4. Al-khamayseh, S., Lawrence, E. ve Zmijewska, A. (2006). Towards understanding success factors in interactive mobile government, Second European Conference on Mobile Government, Brighton, İngiltere.
5. Almarashdeh, I. ve Alsmadi, M. (2016). Heuristic evaluation of mobile government portal services: An experts' review, In 2016 11th International Conference for Internet Technology and Secured Transactions (ICITST), Barcelona, İspanya.
6. Almarashdeh, I. ve Alsmadi, M.K. (2017). How to make them use it? Citizens acceptance of m-government, Applied Computing and Informatics, 13(2), 194-199.
7. Alotaibi,R., Houghton, L. ve Sandhu, K.(2016). Exploring the potential factors ınfluencing the adoption of m-government services in Saudi Arabia: A qualitative analysis, International Journal of Business and Management, 11(8), 56-71.
8. Arslan, A. (2012). M-government service provisions among Turkish local governments, İnternet Uygulamaları ve Yönetimi Dergisi, 3(2), 5-26. Bannister, F. ve R. Connolly, R. (2011). Trust and transformational government: a proposed framework for research, Government Information Quarterly, 28(2), 137-147.

9. Bayrak, H. (2020). TUİK hanehalkı bilişim teknolojileri kullanım araştırması, https://dijilopedi.com/2019-tuik-hanehalki-bilisim-teknolojileri-kullanim-arastirmasi/ adresinden erişildi.
10. Cole, D.A. ve Maxwell, S.E. (2003). Testing mediational models with longitudinal data: Questions and tips in the use of structural equation modeling, Journal of Abnormal Psychology, 112(4), 558-577.
11. Colesca, S.E. (2009). Understanding trust in e-government, Engineering Economics, 63(4).
12. Çokluk, Ö., G. Şekercioğlu, G. ve Ş. Büyüköztürk, Ş. (2010). Yapısal Eşitlik Modeli, Sosyal Bilimler için Çok Değişkenli İstatistik SPSS ve LISREL uygulamaları, Pegem Yayıncılık, Ankara, 251-390.
13. Çolak, M. (2020). Gizlilik ve Güvenlik, http://bilgisayarbilim.com/gizlilik-ve-guvenlik/ adresinden erişildi.
14. Davis,F. (1989). A Technology acceptance model for empirically testing new end user information systems: theory and results. Doktora Tezi, MIT Sloan School of Management, Cambridge, MA.
15. El-Kiki, T. ve E. Lawrence, E. (2006). Mobile user satisfaction and usage analysis model of m-government services, In Proceedings of EURO mGOV, 91-102.
16. Fornell, C. ve Larcker, D. F.(1981). Evaluating structural equation models with unobservable variables and measurement error, Journal of Marketing Research, 18(1), 39-50.
17. Gao,S., Krogstie, J. ve Gransæther, P.A. (2018). Mobile services acceptance model, 2008 International Conference on Convergence and Hybrid Information Technology, IEEE, Washington DC, Amerika.
18. Güler, M. ve E. Dövertaş, E. (2009). Elektronik Devletten (E-Devlet) Mobil Devlete (M-Devlet) Geçişte Türkiye'de Yerel Yönetim Uygulamaları, Hitit Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 2(1), 25-49.
19. Gürses, F. ve Engin, M. (2016). Türkiye’de Yerel Yönetimlerde Mobil Devlet Uygulamaları: Büyükşehir Belediyeleri Üzerine Ampirik Bir Araştırma, Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 21(1), 223-234.
20. Hung, S.Y.; Chang,C.M. ve Kuo, S. R. (2013). User Acceptance of Mobile E-government Services: An empirical study, Government Information Quarterly, 30(1), 33-44.
21. Ishengoma, F., Mselle, L. ve Mongi, H. (2019). Critical success factors for m‐government adoption in Tanzania: A conceptual framework, The Electronic Journal of Information Systems in Developing Countries, 85(1), e12064, 2019.
22. Khasawneh, R.T., Rabayah, W. A. ve Abu-Shanab, E. A. (2013). E-government acceptance factors: trust and risk, In The 6th International Conference On Information Technology (ICIT 2013), 8-10.
23. Koivumäki, T., Ristola, A. ve M. Kesti, M. (2008). The effects of ınformation quality of mobile information services on user satisfaction and service acceptance–empirical evidence from Finland, Behaviour ve Information Technology, 27(5), 375-385.
24. Komiak, S.X. ve Ilyas, I. (2010). The effects of perceived information quality and perceived system quality on trust and adoption of online reputation systems, Americas Conference on Information Systems (AMCIS), Lima, Peru.
25. Kushchu, I. ve Kuscu, H. (2003). From e-government to m-government: facing the inevitable, In the 3rd European Conference on e-Government, MCIL Trinity College Dublin, İrlanda.
26. National Electronic Commerce Coordinating Council (NECCC) (2001). M-government: the convergence of wireless technologies and e-government, Research and Development Workgroup.
27. Nunnally,J.C. ve Bernstein, I. H. (1994). The assessment of reliability, Psychometric Theory, 3(1), 248-292.
28. Öztürkcan, S., Kasap, N. ve Eryarsoy, E. (2012). M-devlet kullanıcı kabul potansiyeli: kümeleme analizi ve karar ağacı yaklaşımı, Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi, 13(2), 87-111.
29. Peterson, R. (2000). A meta-analysis of iance accounted for and factor loadings in exploratory factor analysis, Marketing Letters, 11, 261–275.
30. Rana, N., Janssen, M., Sahu, G.P., Baabdullah, A. ve Dwivedi, Y. (2019). Citizens’ perception about m-government services: Results from an exploratory survey, In Proceedings of the 52nd Hawaii International Conference on System Sciences, Hawaii, ABD.
31. Rehman, M., Kamal, M. ve Esichaikul, V. (2012). Determinants of trust in e-government adoption: a case study of Pakistan, Proceedings of the Eighteenth Americas Conference on Information Systems AMCIS, Seattle, Washington, A.B.D.
32. Roubah, K., Qurban, H., Al-Qirim,N. ve Tarhini, A. (2018). Understanding mobile government success in an arab country: findings from a qualitative study, Issues in Information Systems, 19(2), 185-198.
33. Sandy, G.A. ve McMillan, S. (2005). A success factors model for m-government, EURO mGOV Brighton, İngiltere, 349-358.
34. Saxena, S. (2017). Enhancing ICT infrastructure in public services: factors influencing mobile government (m-government) adoption in India, The Bottom Line, 30(4), 279-296.
35. Shareef, M. A., Archer, N. ve Dwivedi, Y.K. (2012). Examining Adoption Behavior of Mobile Government, Journal of Computer Information Systems, 53(2), 39-49.
36. Tabachnick, B.G., Fidell, L.S. ve Osterlind, S. J. (2007). Structural Equation Modeling, Using Multivariate Statistics, Boston, MA, Pearson, Amerika 574-621.
37. Tan, G. W. H., Ooi, K.B., Sim, J.J. ve Phusavat, K. (2012). Determinants of mobile learning adoption: an empirical analysis, Journal of Computer Information Systems, 52(3), 82-91.
38. Üste, R. B. ve Güzel, B. (2012). From e-governance through m-governance: Turkey applications, International Journal of eBusiness and eGovernment Studies, 4(1), 47-58.
39. Veeramootoo, N., Nunkoo, R. ve Dwivedi, Y.K. (2018). What determines success of an e-government service? Validation of an integrative model of e-filing continuance usage, Government Information Quarterly, 35(2), 161-174.
40. Venkatesh, V., Morris, M.G., Davis, G.B. ve Davis, F.D. (2003). User acceptance of information technology: Toward a unified view, MIS Quarterly, 27(3), 423-478.
41. Venkatesh, V. ve F.D. Davis, F.D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies, Management Sciences, 46(2), 186-204.
42. Wang, H.J. ve Lo, J. (2013). Determinants of citizens’ intent to use government websites in Taiwan, Information Development, 29(2), 123-137.
43. Wang, C. (2014). Antecedents and Consequences of Perceived Value in Mobile Government Continuance Use: An Empirical Research in China, Computers in Human Behavior, 34, 140-147.
44. Wang, Y.S. (2008). Assessing e‐commerce systems success: a respecification and validation of the Delone and Mclean model of IS success, Information Systems Journal, 18(5), 529-557.
45. Yıldırım, F. ve Panayırcı, U.C. (2012). Governmental mobile technology usages during promotion efforts of reaching their citizens, International Journal of eBusiness and eGovernment Studies, 4(1), 35-43.