Abstract
Smart city readiness entails the adoption of technological innovation, information and communication technologies by the role players to disseminate information to the citizenry to improve performance, quality of services and welfare maximization. This is why it's important to determine people's readiness for technology before they can accept or adopt them and also observe their intention to use them. The study investigated the readiness for smart city in municipalities in Mbabane, Eswatini. A quantifiable approach was taken in this research, the information was collected through online surveys and finally suggested a model for the research. One hundred and twenty-two surveys were contracted from different respondents in different municipalities. It was found that the study was reliable and valid. Results show that municipalities in Mbabane, Eswatini are ready for smart city. It also indicates that ease-of-use (EOU) has a strong influence on perceived usefulness (PU) with β = 0.570 and Sig 001, Perceive usefulness (PU)has an influence on intention of use (IOU) with β = 0.382 and Sig 001, and ease-of-use (EOU) has a strong influence on intention of use with β = 0.046 and sig = 0.475, Innovation has a strong influence on intention of use with β = 0.308 and sig 001 and Optimism (OPT) has a strong influence on intention of use with β = 0.292 and sig = 0.002. Future researchers can extend the research to different municipalities as this research was limited to municipalities in Mbabane, Eswatini only. Smart technology will help cities maintain expansion while also enhancing the efficiency for the welfare of the citizenry.
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References
City of Johannesburg. Preparing for a smart Joburg (2011). http://www.joburg.org.za/index.php?option=com_conxtent&id=7245&Itemid=266. Accessed 22 March 2022
Monzon, A.: Smart cities concept and challenges: Bases for the assessment of smart city projects. In: 2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS), pp. 1–11. IEEE (2015)
Das, A., Sharma, S.C.M., Ratha, B.K.: The new era of smart cities, from the perspective of the internet of things. In: Smart Cities Cybersecurity and Privacy, pp. 1–9. Elsevier (2019)
Caragliu, A., Del Bo, C.F.: Smart innovative cities: The impact of Smart City policies on urban innovation. Technol. Forecast. Soc. Chang. 142, 373–383 (2019)
Randhawa, A., Kumar, A.: Exploring sustainability of smart development initiatives in India. Int. J. Sustain. Built Environ. 6(2), 701–710 (2017)
Ramaprasad, A., Sanchez-Ortiz, A., Syn. T.: A unified definition of a smart city. In: International Conference on Electronic Government, pp. 13–24. Krems, Austria (2017)
Mahesa, R., Yudoko, G., Anggoro, Y.: Dataset on the sustainable smart city development in Indonesia. Data Brief 25, 104098 (2019)
Przeybilovicz, E., Cunha, M.A., Macaya, J.F.M., de Albuquerque, J.P.: A Tale of Two ‘Smart Cities’: Investigating the Echoes of New Public Management and Governance Discourses in Smart City Projects in Brazil. In: Hawaii International Conference on System Sciences 2018 (HICSS-51) (2018). https://aisel.aisnet.org/hicss-51/eg/smart_cities_smart_government/2
Mashau, N.L., Kroeze, J.H., Howard, G.R.: An integrated conceptual framework to assess small and rural municipalities’ readiness for smart city implementation: A systematic literature review. In: Lecture Notes in Computer Science, p. 13117. Springer, Cham, Switzerland (2021)
Yang, Z., Sun, J., Zhang, Y., Wang, Y.: Understanding SaaS adoption from the perspective of organizational users: A tripod readiness model. Comput. Hum. Behav. 45, 254–264 (2015)
Berst, J.: The planning manual for building tomorrow’s cities today. Smart City Council, Seattle (2013)
Parasuraman, A., Colby, C.L.: An updated and streamlined technology readiness index: TRI 2.0. J. Serv. Res. 18(1), 59–74 (2015)
Ismail, K.A., Wahid, N.A.: A review on technology readiness concept to explain consumer’s online purchase intention. Int. J. Indust. Manage. 6, 49–57 (2020). https://doi.org/10.15282/ijim.6.0.2020.5629
Blut, M., Wang, C.: Technology readiness: a meta-analysis of conceptualizations of the construct and its impact on technology usage. J. Acad. Market. Sci. 48(4), 649–669 (2019). https://doi.org/10.1007/s11747-019-00680-8
Parasuraman, A.: Technology Readiness Index (TRI) a multiple-item scale to measure readiness to embrace new technologies. J. Serv. Res. 2(4), 307–320 (2000)
Holt, D.T., Vardaman, J.M.: Toward a comprehensive understanding of readiness for change: the case for an expanded conceptualization. J. Chang. Manag. 13(1), 9–18 (2013)
Aboelmaged, M.G.: Predicting e-readiness at firm level: An analysis of technological, organizational and environmental (TOE) effects on e-maintenance readiness in manufacturing firms. Int. J. Inf. Manage. 34, 639–651 (2014)
Pires, P.J., da Costa Filho, B.A., da Cunha, J.C.: Technology Readiness Index (TRI) factors as differentiating elements between users and non users of internet banking, and as antecedents of the Technology Acceptance Model (TAM). In: Cruz-Cunha, M.M., Varajão, J., Powell, P., Martinho, R. (eds.) CENTERIS 2011. CCIS, vol. 220, pp. 215–229. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-24355-4_23
Nihat, E., Murat, E.: An investigation of the effects of technology readiness on technology acceptance in e-HRM. Proc. Soc. Behav. Sci. 24, 487–495 (2011)
Makkonen, M., Frank, L., Koivisto, K.: ISBN 978-961-286-043-1, Age differences in technology readiness and its effects on information system acceptance and use: the case of online electricity services in Finland (2017)
Chiu, W., Cho, H.: Asia Pacific Journal of Marketing and Logistics 33(3), 807–825 (2020). https://doi.org/10.1108/APJML-09-2019-0534
Brosius, F.: SPSS 12 (1. Aufl). Bonn: Mitp, Verl. Gruppe (2004)
Anderson, R.E., Babin, B.J., Black, W.C., Hair, J.F.: Multivar-iate Data Analysis, 7th edn. Pearson, United States (2010)
Rahmat, T.E., et al.: Nexus between integrating technology readiness 2.0 index and students’e-library services adoption amid the COVID-19 challenges: implications based on the theory of planned behavior (2022)
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I wish to express my sincere gratitude and appreciation to my Co-author, Prof Tranos Zuva whose input helped us to produce a paper of good standard.
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Mkhonto, M., Zuva, T. (2024). Readiness for Smart City in Municipalities in Mbabane, Eswatini. In: Silhavy, R., Silhavy, P. (eds) Data Analytics in System Engineering. CoMeSySo 2023. Lecture Notes in Networks and Systems, vol 935. Springer, Cham. https://doi.org/10.1007/978-3-031-54820-8_33
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