Assessing Smart Service Adoption in South African Townships: An Extended UTAUT Framework
Abstract
The concept of smart cities has emerged globally in response to rapid urban migration. However, in South Africa, many citizens still live on the peripheries of urban centers due to spatial and socio-economic inequalities stemming from apartheid, which displaced and marginalized township and rural populations. This study explores the factors influencing the adoption and acceptance of smart services in South African townships and assesses the moderating effects of the Unified Theory of Acceptance and Use of Technology (UTAUT) variables. To enhance the UTAUT framework, the study incorporates trust, self-efficacy, and perceived risk as additional constructs. A random survey was distributed to township residents, with a targeted sample size of 384. A total of 472 valid responses were analyzed. The findings reveal that social influence, trust, perceived risk, income, and education significantly determine smart service adoption. Furthermore, age, gender, income, and education were found to moderate user behavior, impacting both acceptance and practical use of these services. The results offer valuable insights for policymakers and service providers in townships, highlighting the importance of understanding the roles of social influence, trust, security, income, and education. These insights can guide the development of inclusive smart services, tailored awareness campaigns, secure technologies, and targeted digital skills programs, ensuring that smart service initiatives are equitable and effective in township contexts.
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A. Addas, "The concept of smart cities: a sustainability aspect for future urban development based on different cities," (in English), Frontiers in Environmental Science, Original Research vol. 11, 2023–August–25 2023, doi: 10.3389/fenvs.2023.1241593.
N. Moumen, H. Radoine, K. M. Nahiduzzaman, and H. Jarar Oulidi, "Contextualizing the Smart City in Africa: Balancing Human-Centered and Techno-Centric Perspectives for Smart Urban Performance," Smart Cities, vol. 7, no. 2, pp. 712–734, 2024.
E. Agyemang, B. Anderson, J. Patiño, and M. Trémolières, "Toward achieving smart cities in Africa: challenges to data use and the way forward," Data & Policy, vol. 6, 2024.
U. L. Butt, Sukumar & Hassan, Fadratul Hafinaz & Ali, Mubashir & Baqir, Anees & Koh, Tieng Wei & Sherazi, Husnain, "Spatio-Temporal Crime Predictions by Leveraging Artificial Intelligence for Citizens Security in Smart Cities," IEEE Access, vol. 1, no. 1, 2021.
C. C. Wray, Koech, " Key Challenges and Potential Urban Modelling Opportunities in South Africa, with Specific Reference to the Gauteng City-Region. South African Journal of Geomatics," South African Journal of Geomatics, vol. 4, 2015.
M. M. a. G. v. d. Waldt, "Towards a smart city model for local government: The case of South African metropolitan municipalities," Administratio Publica, vol. 31, no. 3, pp. 112–130, 2023.
S. A. L. G. A. (SALGA), "Strategic Plan 2022–2027."
D. Kumar, "Actual practices of citizen participation in smart cities," Smart Cities and Regional Development, vol. 8, no. 2, pp. 19–30, 2024, doi: doi: 10.25019/4c05yr24.
S. Singh and V. Kumar, "Modelling the determinants for sustainable smart city through interpretive structure modelling and analytic hierarchy process," Computational Urban Science, vol. 4, pp. 1–18, 12/01 2024, doi: 10.1007/s43762-024-00125-1.
V. T. Venkatesh, James Y. L.; Xu, Xiaojun, "Unified theory of acceptance and use of technology: A synthesis and the road ahead,," Journal of the Association for Information Systems, vol. 17, no. 5, pp. 328–376, 2016.
V. M. Venkatesh, Michael G.; Davis, Gordon B.; Davis, Fred D., "User acceptance of information technology: Toward a unified view,," MIS Quarterly, vol. 27, no. 3, pp. 425–478, 2003.
A. E. E. Sobaih, I. A. Elshaer, and A. M. Hasanein, "Examining Students’ Acceptance and Use of ChatGPT in Saudi Arabian Higher Education," European Journal of Investigation in Health, Psychology and Education, vol. 14, no. 3, pp. 709–721, 2024.
j.-h. K. Lee, Soo ; Song, Chi, "The Effects of Trust and Perceived Risk on Users’ Acceptance of ICT Services," SSRN Electronic Journal. 10.2139/ssrn.1703213., 2010, doi: 10.2139/ssrn.1703213.
L. F. Major, Gill & Tsapali, Maria, "The effectiveness of technology‐supported personalised learning in low‐ and middle‐income countries: A meta‐analysis. ," British Journal of Educational Technology, vol. 52, no. 5, 2021, doi: 10.1111/bjet.13116.
A. Bandura, "Social Foundations of Thought and Action," 1986.
A. Bandura, "Self-Efficacy: The Exercise of Control," 1977.
Y.-W. Zhang, J.-G. Choi, and A. R. Akhmedov, "The Impacts of Perceived Risks on Information Search and Risk Reduction Strategies: A Study of the Hotel Industry during the COVID-19 Pandemic," Sustainability, vol. 13, no. 21, p. 12221, 2021.
V. A. N. Phamthi, Ákos; Ngo, Trung Minh, "The influence of perceived risk on purchase intention in e-commerce — Systematic review and research agenda," International journal of consumer studies., vol. 48, no. 4, 2024, doi: 10.1111/ijcs.13067.
C. W. Liu, Jiaqi & Chen, Ran & Zhou, Wusi, "Exploring the influence of Chinese online patient trust on telemedicine behavior: insights into perceived risk and behavior intention," Frontiers in Public Health, no. 12, 2024, doi: 10.3389/fpubh.2024.1415889.
S.-L. Chen, H.-T. Hsu, and R. Chinomona, "How Tourists’ Perceived Risk Affects Behavioral Intention through Crisis Communication in the Post-COVID-19 Era," Mathematics, vol. 11, no. 4, p. 860, 2023.
F. Kanwal and M. Rehman, "E-learning Adoption Model : A case study of Pakistan," 2014.
M. T. Sulistiyaningsih, Johan & Tanaamah, Rocky, "Technology acceptance model and online learning media: An empirical study of online learning application in a private indonesian university," Journal of Theoretical and Applied Information Technology, vol. 10, pp. 136–143, 2014.
A. Choudhury and H. Shamszare, "Investigating the Impact of User Trust on the Adoption and Use of ChatGPT: Survey Analysis," (in English), J Med Internet Res, Original Paper vol. 25, p. e47184, 2023, doi: 10.2196/47184.
Y. K. D. Ali Abdallah Alalwan , Nripendra P. Rana "Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust," International Journal of Information Management, vol. 37, pp. 99–110, 2017.
J. Khalilzadeh, A. B. Ozturk, and A. Bilgihan, "Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry," Comput. Hum. Behav., vol. 70, pp. 460–474, 2017.
A. B. Alastal, Usama, "Big Data in Smart Cities: Exploring Possibilities in Terms of Opportunities and Challenges,," Journal of Scholarly Publishing, 2020.
Z. S. Tim Draws, Benjamin Timmermans, Nava Tintarev, Kush R. Varshney, Michael Hind, "Disparate Impact Diminishes Consumer Trust Even for Advantaged Users," arXiv, 2021.
R. O. Stefan Daschner, " "Algorithm aversion? On the influence of advice accuracy on trust in algorithmic advice," Journal of Decision Systems, vol. 31, no. 1, pp. 1–19, 2022.
D. S. Rizwan Raheem Ahmed, Justas Streimikis, Siksnelyte-ButkieneIndre "A comparative analysis of multivariate approaches for data analysis in management sciences," E+M Economics and Management, vol. 27, no. 1, pp. 192–210, 2024, doi: 10.15240/tul/001/2024-5-001.
J. C. Daire Hooper, Michael R. Mullen, "Structural equation modeling: Guidelines for determining model fit," Electronic Journal of Business Research Methods, vol. 6, no. 1, pp. 53–60, 2008.
R. Kline, Principles and Practice of Structural Equation Modeling. New York: Guilford Publications, 2023.
B. Byrne, Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming, 3rd ed. Routledge, 2016, p. 460.
L.-t. B. Hu, Peter M. , "Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification," Psychological Methods, vol. 3, no. 4, pp. 424–453, 1998.
R. MacCallum, Browne, Michael, and Sonoo, Sugawara, "Power analysis and determination of sample size for covariance structure modeling," Psychological Methods., vol. 1, no. 2, pp. 130–149, 1996.
Z. Awang, A Handbook on SEM Structural Equation Modelling: SEM Using AMOS Graphic, 5th ed. Kota Baru: Universiti Teknologi Mara Kelantan, 2012.
J. Newsom, Longitudinal Structural Equation Modeling: A Comprehensive Introduction. Routledge, 2023.
H. L.-t. B. Peter, "Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling.," A Multidisciplinary Journal, vol. 6, no. 1, pp. 1–55, 1999.
J. H. Henseler, Geoffrey S.; Ray, Pauline Ash, "Using PLS path modeling in new technology research: Updated guidelines," Industrial Management & Data Systems, vol. 116, no. 1, pp. 2–20, 2016.
M. R. Sarstedt, Christian M.; Hair, Joseph F. Jr., Partial Least Squares Structural Equation Modeling. Switzerland: Springer, 2022.
H. Gatignon, Statistical Analysis of Management Data, 2nd ed. New York, NY, USA: Springer, 2010.
C. Fornell and D. F. Larcker, "Evaluating structural equation models with unobservable variables and measurement error," Journal of Marketing Research, vol. 18, pp. 39–50, 1981.
B. M. Byrne, "Structural equation modeling with AMOS, EQS, and LISREL: Comparative approaches to testing for the factorial validity of a measuring instrument," International Journal of Testing, vol. 1, no. 1, pp. 55–86, 2001.
J. F. J. A. Hair, Rolph E.; Tatham, Ronald L.; Black, William C., Multivariate Data Analysis, 6th
ed. Upper Saddle River, NJ, USA: Prentice Hall, 2006.
R. Hoyle, Handbook of Structural Equation Modeling. New York, NY, USA: Guilford Press, 2023.
G. T. M. H. Joseph Frederick Hair, Christian Michael Ringle, Marko Sarstedt, A Primer on Partial Least Squares Structural Equation Modeling (PLS SEM), 3rd
ed. USA: SAGE: Thousand Oaks, 2022.
J. Steiger, "Understanding the limitations of global fit assessment in structural equation modeling," Personality and Individual Differences, vol. 42, no. 5, pp. 893–898, 2007, doi: 10.1016/j.paid.2006.09.017.
J. F. B. Hair, William C.; Babin, Barry J.; Anderson, Rolph E., Multivariate Data Analysis, 7th ed. Upper Saddle River, NJ, US: Pearson Education, 2010.
R. Fisher, Statistical Methods for Research Workers. Edinburgh, UK: Oliver & Boyd, 1925.
T. M. Wut, S. W. Lee, and J. Xu, "How do Facilitating Conditions Influence Student-to-Student Interaction within an Online Learning Platform? A New Typology of the Serial Mediation Model," Education Sciences, vol. 12, no. 5, p. 337, 2022.
S. A. M. Kirubel Biruk Shiferaw, Monika Knudsen Gullslett, Atinkut Alamirrew Zeleke, Binyam Tilahun, Tsion Tebeje, Robel Wondimu, Surafel Desalegn;Eden Abetu Mehari., "Healthcare providers’ acceptance of telemedicine and preference of modalities during COVID-19 pandemics in a low‑resource setting," PLoS ONE., vol. 16, no. 4, 2021, doi: 10.1371/journal.pone.0250220.
N. P. R. Yogesh K. Dwivedi, Abhishek Jeyaraj, Michael Clement, and Michael D. Williams., "Re‑examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, vol. 21, no. 3, pp. 719–734, 2017, doi: 10.1007/s10796-017-9774-y.
Y. Y. Richard P. Bagozzi, "On the evaluation of structural equation models," Journal of the Academy of Marketing Science, vol. 16, no. 1, pp. 74–94, 1988, doi: 10.1007/BF02723327.
C. M. R. Jan Henseler, and Marko Sarstedt., "A new criterion for assessing discriminant validity in variance-based structural equation modeling," Journal of the Academy of Marketing Science, vol. 43, no. 1, pp. 115–135, 2015, doi: 10.1007/s11747-014-0403-8.
F. W. M.-M. Dulle, Mabel Khayundi, "The suitability of the Unified Theory of Acceptance and Use of Technology (UTAUT) model in open access adoption studies.," Information Development, vol. 27, no. 1, pp. 32–45, 2011, doi: 10.1177/0266666910385375.
N. R. R. D. M. Nurul Aulia Ramadhina, "The Influence of Performance Expectancy, Effort Expectancy, And Social Influence on Use Behavior with Behavioral Intention as A Mediator (A Case Study of Cash on Delivery (COD) System Users in Marketplaces)," International Journal of Social Science and Human Research, vol. 8, no. 1, pp. 215–224, 2025, doi: doi: 10.47191/ijsshr/v8-i1-24.
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