Analysis and Identification of Non-Impact Factors on Smart City Readiness Using Technology Acceptance Analysis: A Case Study in Kampar District, Indonesia
DOI:
https://doi.org/10.37385/jaets.v5i1.2401Keywords:
Kampar District, Smart city, TAM (Technology Acceptance Model), readinessAbstract
Most countries start to implement Smart Cities as an innovation for urban strategy. However, not all Smart Cities implementations worked and were implemented well, because the community still not ready for the implementation of Smart City. The aim of this research is to investigate community readiness and finding low impact factors for implementing smart cities based on 5 factors, namely AU, PEOU, ATU, BIU, and PU. This research was using a qualitative study with the Technology Acceptance Model approach (TAM) to investigate the relationship between 5 factors. Based on the results of data distribution, there are 2 clusters, namely people who know about public service applications and people who are not aware of any public service applications. Furthermore, there are 3 tests conducted in this research namely T-test, F-test and Coefficient Determination Test to determine the impact and influence of the relationship between each factor. However, from the results of the t-test it was found that there were 2 relationships that had no impact because the t-count was negative and the 2 relationships between these factors were between PU - AU and AU - PU.
Downloads
References
Achmad, I. N., & Witiastuti, R. S. (2018). Underpricing, Institutional Ownership and Liquidity Stock of IPO Companies in Indonesia. Management Analysis Journal, 7(3), 281–291. https://doi.org/10.15294/MAJ.V7I3.23672
Aditya, T., Ningrum, S., Nurasa, H., & Irawati, I. (2023). Community needs for the digital divide on the smart city policy. Heliyon, 9(8). https://doi.org/10.1016/j.heliyon.2023.e18932
Agudo-Peregrina, Á. F., Hernández-García, Á., & Pascual-Miguel, F. J. (2014). Behavioral intention, use behavior and the acceptance of electronic learning systems: Differences between higher education and lifelong learning. Computers in Human Behavior, 34, 301–314. https://doi.org/10.1016/j.chb.2013.10.035
Agustin, K. I. (2018). Information System Success Dimension In Indonesia Online Travel Agency Industry. Russian Journal of Agricultural and Socio-Economic Sciences, 11(83), 221–228. https://doi.org/10.18551/rjoas.2018-11.26
Alansari, Y., & Al-Sartawi, abdalmuttaleb M. A. M. (2021). IT governance and E-banking in GCC GCC listed banks. 10th International Conference of Information and Communication Technology (ICICT-2020), 183, 844–848. https://doi.org/10.1016/j.procs.2021.03.008
Alnemer, H. A. (2022). Determinants of digital banking adoption in the Kingdom of Saudi Arabia: A technology acceptance model approach. Digital Business, 2(2), 100037. https://doi.org/10.1016/j.digbus.2022.100037
Anam, M. K., Lestari, T. P., Latifah, Firdaus, M. B., & Fadli, S. (2021). Analisis Kesiapan Masyarakat Pada Penerapan Smart City di Sosial Media Menggunakan SNA. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 5(1), 69–81. https://doi.org/10.29207/resti.v5i1.2742
Ansar, Lukum, A., Arifin, & Dengo, Y. J. (2017). The Influence of School Culture on The Performance of High School English Teachers in Gorontalo Province. International Journal of Education and Research, 5(10), 35–48. www.ijern.com
Budiansyah, Y. (2021). Work Conflict and Leadership Behavior affect Employee Performance ( At PT . Jasa Raharja , PT . Jasa Asuransi Indonesia , and PT . Jiwasraya in Bandung City ). Turkish Journal of Computer and Mathematics Education, 12(8), 1659–1669. https://doi.org/10.17762/turcomat.v12i8.3224
Chatzopoulos, A., Kalogiannakis, M., Papadakis, S., & Papoutsidakis, M. (2022). A Novel, Modular Robot for Educational Robotics Developed Using Action Research Evaluated on Technology Acceptance Model. Education Sciences, 12(4). https://doi.org/10.3390/educsci12040274
Chi, T. (2018). Understanding Chinese consumer adoption of apparel mobile commerce: An extended TAM approach. Journal of Retailing and Consumer Services, 44, 274–284. https://doi.org/10.1016/j.jretconser.2018.07.019
Chintalapati, N., & Daruri, V. S. K. (2017). Examining the use of YouTube as a Learning Resource in higher education: Scale development and validation of TAM model. Telematics and Informatics, 34(6), 853–860. https://doi.org/10.1016/j.tele.2016.08.008
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Dirgantari, P. D., Hidayat, Y. M., Machmud, A., & Fachrulamry, D. M. R. (2020). Intention To Use Mobile Commerce In Indonesia With Technology Acceptance Model Approach. Journal of Engineering Science and Technology, 15(6), 4171–4181. https://jestec.taylors.edu.my/
Eichelberger, S., Peters, M., Pikkemaat, B., & Chan, C. S. (2020). Entrepreneurial ecosystems in smart cities for tourism development: From stakeholder perceptions to regional tourism policy implications. Journal of Hospitality and Tourism Management, 45, 319–329. https://doi.org/10.1016/j.jhtm.2020.06.011
Fauzan, M. (2017). Effect of Stress and Leadership on Nurse Performance in General Hospital Simalungun Regency North Sumatera Province. International Journal of Sciences: Basic and Applied Research, 35(3), 393–404.
Feng, Y., Huang, Y., & Ma, X. (2017). The application of Student’s t -test in internal quality control of clinical laboratory. Frontiers in Laboratory Medicine, 1(3), 125–128. https://doi.org/10.1016/j.flm.2017.09.002
Fernandez-Anez, V., Fernández-Güell, J. M., & Giffinger, R. (2018). Smart City implementation and discourses: An integrated conceptual model. The case of Vienna. Cities, 78, 4–16. https://doi.org/10.1016/j.cities.2017.12.004
Gerald, B. (2018). A Brief Review of Independent, Dependent and One Sample t-test. International Journal of Applied Mathematics and Theoretical Physics, 4(2), 50–54. https://doi.org/10.11648/j.ijamtp.20180402.13
Greenland, S., Senn, S. J., Rothman, K. J., Carlin, J. B., Poole, C., Goodman, S. N., & Altman, D. G. (2016). Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations. In European Journal of Epidemiology (Vol. 31, Issue 4, pp. 337–350). https://doi.org/10.1007/s10654-016-0149-3
Habib, A., Alsmadi, D., & Prybutok, V. R. (2020). Factors that determine residents’ acceptance of smart city technologies. Behaviour and Information Technology, 39(6), 610–623. https://doi.org/10.1080/0144929X.2019.1693629
Holtom, B., Baruch, Y., Aguinis, H., & A Ballinger, G. (2022). Survey response rates: Trends and a validity assessment framework. Human Relations, 75(8), 1560–1584. https://doi.org/10.1177/00187267211070769
Jnr, B. A., & Petersen, S. A. (2022). Using an extended technology acceptance model to predict enterprise architecture adoption in making cities smarter. Environment Systems and Decisions. https://doi.org/10.1007/s10669-022-09867-x
Kabir, K. H., Hassan, F., Mukta, M. Z. N., Roy, D., Darr, D., Leggette, H., & Ullah, S. M. A. (2022). Application of the technology acceptance model to assess the use and preferences of ICTs among field-level extension officers in Bangladesh. Digital Geography and Society, 3. https://doi.org/10.1016/j.diggeo.2022.100027
Karmaker, A. K., Islam, S. M. R., Kamruzzaman, M., Rashid, M. M. U., Faruque, M. O., & Hossain, M. A. (2023). Smart City Transformation: An Analysis of Dhaka and Its Challenges and Opportunities. Smart Cities, 6(2), 1087–1108. https://doi.org/10.3390/smartcities6020052
Karnengsih. (2020). The Influence of Spirituality Level , Price , and Promotion on Purchasing Decisions through Advertising on Facebook by Students of SMA MA Annajah South Jakarta. International Journal of Innovative Science and Research Technology, 5(1), 1140–1146.
Kim, T. K. (2017). Understanding one-way ANOVA using conceptual figures. Korean Journal of Anesthesiology, 70(1), 22–26.
KOMINFO Kabupaten Kampar. (2017). Penyusunan Masterplan Teknologi Informasi dan Komunikasi Kabupaten Kampar. KOMINFO Kabupaten Kampar.
Kurdi, B. Al, Alshurideh, M., Salloum, S. A., Obeidat, Z. M., & Al-dweeri, R. M. (2020). An empirical investigation into examination of factors influencing university students’ behavior towards elearning acceptance using SEM approach. International Journal of Interactive Mobile Technologies, 14(2), 19–41. https://doi.org/10.3991/ijim.v14i02.11115
Lehtiö, A., Hartikainen, M., Ala-Luopa, S., Olsson, T., & Väänänen, K. (2022). Understanding citizen perceptions of AI in the smart city. AI and Society. https://doi.org/10.1007/s00146-022-01589-7
Magdalena, M. L., & Dharmanto, A. (2020). The Effect of Sponsorship and Customer Engagement Program in Improving Brand Awareness ( Case Study of Nike as The Official Sport Apparel of The Indonesian National Team ). Journal of Reseacrh in Business, Economics, and Education, 2(3), 679–683.
Makie?a, Z. J., Stuss, M. M., Mucha-Ku?, K., Kinelski, G., Budzi?ski, M., & Micha?ek, J. (2022). Smart City 4.0: Sustainable Urban Development in the Metropolis GZM. Sustainability (Switzerland), 14(6). https://doi.org/10.3390/su14063516
Meiwanda, G. (2020). Challenges of Smart City: Local Government in Pekanbaru City and Community. Annual Conference of Indonesian Association for Public Administration, 122, 40–53. https://doi.org/10.2991/aebmr.k.200301.003
Oh, J. (2020). Smart city as a tool of citizen-oriented urban regeneration: Framework of preliminary evaluation and its application. Sustainability (Switzerland), 12(17), 1–20. https://doi.org/10.3390/SU12176874
Oliveira, V. A. T., & Santos, G. D. (2019). Information technology acceptance in public safety in smart sustainable cities: A qualitative analysis. Procedia Manufacturing, 39, 1929–1936. https://doi.org/10.1016/j.promfg.2020.01.239
Rachmawati, R., Haryono, E., & Rohmah, A. A. (2021). Developing Smart City in the New Capital of Indonesia. International Smart Cities Conference (ISC2), 1–7. https://doi.org/10.1109/ISC253183.2021.9562891
Ramadhiana, I. N., Prakarsa, G., & Nasution, V. M. (2021). User Acceptance of Virtual Hotel Operator Applications in Indonesia. International Conference on Science, Technology, Engineering and Industrial Revolution (ICSTEIR 2020), 1115, 1–8. https://doi.org/10.1088/1757-899x/1115/1/012027
Repette, P., Sabatini-Marques, J., Yigitcanlar, T., Sell, D., & Costa, E. (2021). The evolution of city-as-a-platform: Smart urban development governance with collective knowledge-based platform urbanism. Land, 10(1), 1–25. https://doi.org/10.3390/land10010033
Rezaei, R., Safa, L., & Ganjkhanloo, M. M. (2020). Understanding farmers’ ecological conservation behavior regarding the use of integrated pest management- an application of the technology acceptance model. Global Ecology and Conservation, 22, 1–18. https://doi.org/10.1016/j.gecco.2020.e00941
Rodzi, N. M., Amantha Kumar, J., Osman, S., Masykuri, E. S., & Sains Malaysia, U. (2020). Exploring Lecturers’ Acceptance of Learning Management Systems in Malaysian Higher Educational Institution. https://doi.org/10.4108/eai.28-9-2019.2291064
Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers and Education, 128, 13–35. https://doi.org/10.1016/j.compedu.2018.09.009
Setyawaty, R., Sulistyorini, T. B., Margono, & Rahmawati, L. E. (2018). Validity Test and Reliability of Indonesian Language Multiple Choice in Final Term Examination. The 1st International Seminar on Language, Literature and Education Volume 2018 Conference, 43–50. https://doi.org/10.18502/kss.v3i9.2609
Siokas, G., Tsakanikas, A., & Siokas, E. (2021). Implementing smart city strategies in Greece: Appetite for success. Cities, 108, 1–13. https://doi.org/10.1016/j.cities.2020.102938
Sujito, F., Arifudin, R., & Arini, F. (2019). An Analysis of User Interface and User Experience Using System Usability Scale and GOMS Method. Journal of Advances in Information Systems and Technology, 1(1), 65–73. https://journal.unnes.ac.id/sju/index.php/jaist/article/view/36503
Sukainah, A., Reski, P. P., Fadilah, R., & Mustarin, A. (2019). Application of Technology Acceptance Model to E-learning Assessment (Kelase) in Agricultural Technology Education, UniversitasNegeri Makassar. International Conference on Education, Science and Technology, 1, 1–8. https://doi.org/10.1088/1742-6596/1387/1/012115
Taber, K. S. (2018). The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education. Research in Science Education, 48, 1273–1296. https://doi.org/10.1007/s11165-016-9602-2
Taherdoost, H. (2018). A review of technology acceptance and adoption models and theories. 11th International Conference Interdisciplinarity in Engineering, INTER-ENG 2017, 22, 960–967. https://doi.org/10.1016/j.promfg.2018.03.137
Vehkalahti, K. (2000). Reability of Measurement Scales Tarkkonen’s general method supersedes Cronbach’s alpha (Statistical Research Reports, Vol. 17). Finnish Statistical Society.
Walker, D. A. (2017). JMASM 48: The pearson product-moment correlation coefficient and adjustment indices: The fisher approximate unbiased estimator and the Olkin-Pratt Adjustment (SPSS). Journal of Modern Applied Statistical Methods, 16(2), 540–546. https://doi.org/10.22237/jmasm/150946140
Yamashev, V., Skornichenko, N., Aldieri, L., Harada, T., Goloshchapova, T., & Strielkowski, W. (2023). Citation: Goloshchapova, Tatiana, E-Government as a Key to the Economic Prosperity and Sustainable Development in the Post-COVID Era. Economies, 11(12), 1–23. https://doi.org/10.3390/economies11040112
Yang, L., Bian, Y., Zhao, X., Liu, X., & Yao, X. (2021). Drivers’ acceptance of mobile navigation applications: An extended technology acceptance model considering drivers’ sense of direction, navigation application affinity and distraction perception. International Journal of Human Computer Studies, 145, 1–11. https://doi.org/10.1016/j.ijhcs.2020.102507
Zogara, A. U., Woro, O., & Handayani, K. (2018). Development of Community Satisfaction Instrument Measurement in Public Health Center Based on Android. Journal of Research and Educational Research Evaluation, 7(1), 101–108. https://doi.org/10.15294/jere.v7i1.24233
CITEDNESS IN SCOPUS
CITEDNESS IN WOS
