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An Empirical Analysis of the Switching and Continued Use of Mobile Computing Applications: A Structural Equation Model

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Networks and Systems in Cybernetics (CSOC 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 723))

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Abstract

It has been determined that there is insufficient explanation for people switching and continuously using mobile computing applications. Knowing and being able to explain this behavior was regarded as essential and might be useful to both application developers and researchers, particularly in forecasting future behavior. The objective of this study was to model the determinants influencing switching and continued use of mobile computing applications using Cronbach’s alpha and confirmatory factor analysis. Data were collected from academics in South African universities through a survey using structured questionnaires. Cronbach’s alpha and confirmatory factor analysis were used for reliability and validity testing [19]. Five decision variables were supported as significant with Cronbach’s alpha and confirmatory factor analysis. Model significance and strength were assessed using SEM to estimate the model’s coefficients [8]. The variance of the dependent variable, “continue use,” was 38%, and switching behavior was 32% as a contribution to this study.

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References

  1. Abbas, H.A., Hamdy, H.I.: Determinants of continuance intention factor in Kuwait communication market: case study of Zain-Kuwait. Comput. Hum. Behav. 49, 648–657 (2015)

    Article  Google Scholar 

  2. Ajzen, I., Fishbein, M.: A Bayesian analysis of attribution processes. Psychol. Bull. 82(2), 261 (1975)

    Article  Google Scholar 

  3. Andrade, A.D., Doolin, B.: Information and communication technology and the social inclusion of refugees. MIS Q. 40(2), 405–416 (2016)

    Article  Google Scholar 

  4. Bhattacherjee, A., Lin, C.P.: A unified model of IT continuance: three complementary perspectives and crossover effects. Eur. J. Inf. Syst. (2014)

    Google Scholar 

  5. Chen, W., Hirschheim, R.: A paradigmatic and methodological examination of information systems research from 1991 to 2001. Inf. Syst. J. 14(3), 197–235 (2004)

    Article  Google Scholar 

  6. Creswell, J.W.: Qualitative Inquiry & Research Design: Choosing Among Five Approaches. 3rd edn. Sage, Los Angeles (2013)

    Google Scholar 

  7. Ebner, M.: Mobile applications for math education–how should they be done. In: Mobile Learning and Mathematics. Foundations, Design, and Case Studies, pp. 20–32 (2015)

    Google Scholar 

  8. Fan, Y., et al.: Applications of structural equation modelling (SEM) in ecological studies: an updated review. Ecol. Process. 5(1), 1–12 (2016)

    Article  MathSciNet  Google Scholar 

  9. Goodhue, D.L.: Understanding user evaluations of information systems. Manage. Sci. 41(12), 1827–1844 (1995)

    Article  Google Scholar 

  10. Kgopa, A.T., Kekwaletswe, R.M., Pretorius, A.: A model for switching and continued use of mobile computing applications amongst South African academics’. South African J. Inf. Manage. 24(1), a1470 (2022). https://doi.org/10.4102/sajim.v24i1.1470

    Article  Google Scholar 

  11. Kim, H.J., Lee, J.M., Rha, J.Y.: Understanding the role of user resistance on mobile learning usage among university students. Comput. Educ. 113, 108–118 (2017)

    Article  Google Scholar 

  12. Middleton, C., Scheepers, R., Tuunainen, V.K.: When mobile is the norm: researching mobile information systems and mobility as post-adoption phenomena. Eur. J. Inf. Syst. 23(5), 503–512 (2014)

    Article  Google Scholar 

  13. National Communications Authority: Quarterly Statistical Bulletin on Communications in Ghana 2(3), 211 (2017)

    Google Scholar 

  14. Ndayizigamiye, P., Kante, M., Shingwenyana, S.: An adoption model of mHealth applications that promote physical activity. Cogent Psychol. 7(1), 1764703 (2020)

    Article  Google Scholar 

  15. Nel, J., Boshoff, C.: Cell phone banking adoption and the continuance of use in an internet-banking context: a study of consumer cognitive evaluations, PHD, Department of Business Management, Marketing Management: University of Pretoria (2013)

    Google Scholar 

  16. Osah, O., Kyobe, M.: User continuance intention towards mobile technology-enabled services in developing regions, PHD, Department of Information System: University of Cape Town (2015)

    Google Scholar 

  17. Osakwe, J.O., Iyawa, M.U.G., Florich, K.: Enabling quality education in Namibia through mobile learning technologies. The high school teachers’ perspective. In: Proceedings IST-Africa Week Conference (IST-Africa), pp. 1–9) (2018)

    Google Scholar 

  18. Pallant, J.: SPSS Survival Manual: A Step by Step Guide to Data Analysis using IBM SPSS. Routledge (2020)

    Google Scholar 

  19. Pomykalski, J.J., Dion, P., Brock, J.L.: A structural equation model for predicting business student performance. J. Educ. Bus. 83(3), 159–164 (2008)

    Article  Google Scholar 

  20. Purnami, L.D., Agus, A.A.: The effect of perceived value and mobile game loyalty on in-app purchase intention in mobile game in Indonesia (case study: mobile legend and love nikki). ASEAN Mark. J. 12(1), 9–19 (2020)

    Google Scholar 

  21. Ray, S., Kim, S.S., Morris, J.G.: Research note-online users’ switching costs: their nature and formation. Inf. Syst. Res. 23, 197–213 (2012)

    Article  Google Scholar 

  22. Rouibah, K.: Switching factors in mobile service providers: qualitative study from an Arab country. In: International Conference on Transformations and Innovations in Management (ICTIM-17) (2017)

    Google Scholar 

  23. Salo, M., Makkonen, M.: Why do users switch mobile applications? Trialing behavior as a predecessor of switching behavior. Commun. Assoc. Inf. Syst. 42, 386–407 (2018)

    Google Scholar 

  24. Subhadin, R.: App adoption and switching behavior: applying the extended TAM in smart phone App adoption and switching behaviour. J. Inf. Syst. Technol. Manage. 14, 239–261 (2017). https://www.scielo.br/pdf/jistm/v14n2/1807-1775-jistm-14-02-00239.pdf. Accessed 2 Jun 2019

  25. Tran, V.D.: Using mobile food delivery applications during the COVID-19 pandemic: Applying the theory of planned behavior to examine continuance behavior. Sustainability 13(21), 12066 (2021)

    Article  Google Scholar 

  26. Tutubala, N., Mathonsi, T.E.: A hybrid framework to improve data security in cloud computing. In: 2021 Big Data, Knowledge and Control Systems Engineering (BdKCSE), pp. 1–5. IEEE (2021)

    Google Scholar 

  27. Van der Merwe, M.C.: A comparison between switching intension and switching behavior in the South African mobile telecommunications industry, DCom Marketing Management, University of Pretoria (2015)

    Google Scholar 

  28. Yavuz, M., Çorbacioğlu, E., Başoğlu, A.N., Daim, T.U., Shaygan, A.: Augmented reality technology adoption: case of a mobile application in Turkey. Technol. Soc. 66, 101598 (2021)

    Article  Google Scholar 

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Correspondence to Alfred Thaga Kgopa .

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Kgopa, A.T., Kekwaletswe, R., Pretorius, A. (2023). An Empirical Analysis of the Switching and Continued Use of Mobile Computing Applications: A Structural Equation Model. In: Silhavy, R., Silhavy, P. (eds) Networks and Systems in Cybernetics. CSOC 2023. Lecture Notes in Networks and Systems, vol 723. Springer, Cham. https://doi.org/10.1007/978-3-031-35317-8_13

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