E-government based on sustainable digitalization: The case of the Chinese social sustainability marketing technologies paradigm
Vol 8, Issue 3, 2024
VIEWS - 2178 (Abstract)
Abstract
Amidst China’s burgeoning population and rapid technological strides, this study explores how elderly citizens navigate and embrace electronic governance (e-governance) platforms. Addressing a crucial gap in knowledge, we delve into their limited digital fluency and its impact on e-governance adoption. Our meticulously crafted online survey, distributed via WeChat across significant cities (Beijing, Shanghai, Tianjin, Changsha), yielded 396 responses (384 analyzable). Utilizing Structural Equation Modeling (SEM), we unearthed key influencers of subjective norms, including perceived ease and usefulness, trust, supportive conditions, and past tech exposure. These norms, in turn, positively shape attitudes. Crucially, educational background emerges as a moderator, amplifying the positive link between attitudes and e-governance engagement intent. This underscores the necessity of an inclusive, customized e-governance approach, offering valuable policy insights and advocating for holistic solutions for older adults. Our research yields empirical and theoretical contributions, paving the way for actionable Social Sustainability Marketing Technologies in China, particularly championing digital inclusivity for seniors.
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- Adjei-Bamfo, P., Domfeh, K. A., Bawole, J. N., Ahenkan, A., Maloreh-Nyamekye, T., Adjei-Bamfo, S., & Darkwah, S. A. (2020). An e-government framework for assessing readiness for public sector e-procurement in a lower-middle income country. Information Technology for Development, 26(4), 742–761. https://doi.org/10.1080/02681102.2020.1769542
- Ahamd, M. (2019). State of the Art Compendium of Macro and Micro Energies. Advances in Science and Technology Research Journal, 13(1), 88–109. https://doi.org/10.12913/22998624/103425
- Syed Ahmed, M., & Kabir, S. M. A. (2018). The Acceptance of Smartphone as a Mobile Learning Tool: Students of Business Studies in Bangladesh. Malaysian Online Journal of Educational Technology, 6(2), 38–47. https://doi.org/10.17220/mojet.2018.02.003
- Alarcon, G. M., Lyons, J. B., Christensen, J. C., Bowers, M. A., Klosterman, S. L., & Capiola, A. (2018). The role of propensity to trust and the five factor model across the trust process. Journal of Research in Personality, 75, 69–82. https://doi.org/10.1016/j.jrp.2018.05.006
- Albesher, A. S., & Stone, R. T. (2016). Current state of m-government research: identifying future research opportunities. International Journal of Electronic Governance, 8(2), 119. https://doi.org/10.1504/ijeg.2016.078118
- Al-Gahtani, S. S., & King, M. (1999). Attitudes, satisfaction and usage: Factors contributing to each in the acceptance of information technology. Behaviour & Information Technology, 18(4), 277–297. https://doi.org/10.1080/014492999119020
- Al-Gahtani, S. S., Hubona, G. S., & Wang, J. (2007). Information technology (IT) in Saudi Arabia: Culture and the acceptance and use of IT. Information & Management, 44(8), 681–691. https://doi.org/10.1016/j.im.2007.09.002
- Ali, M., & Mujahid, N. (2015). Electronic government re-inventing governance: A case study of Pakistan. Electronic Government, 5(2).
- Alneyadi, A., Hilmi, M. F., Ayub, M. A., & Abudaqa, A. (2022). The moderating role of online trust on the relationship between service dynamics, information awareness, citizen satisfaction to e_government services and continence intention: a case of uae. International Journal of Law, Government, and Communication, 7(29), 171–189. https://doi.org/10.35631/IJLGC.729013
- Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411
- Arbuckle, J. (2003). Amos 5.0 update to the Amos user’s guide. Marketing Department, SPSS Incorporated.
- Babar, U., & Ahmed, S. (2023). Cultural Intermingling in Ahmad Ali’s “Twilight In Delhi”: A Post-Colonial Criticism. Journal of Advances in Humanities Research, 2(3), 84–96. https://doi.org/10.56868/jadhur.v2i3.130
- Bell, J. (2005). A guide for first-time researchers in education, health and social science. Open University Press.
- Bhattacherjee, A. (2000). Acceptance of e-commerce services: the case of electronic brokerages. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 30(4), 411–420. https://doi.org/10.1109/3468.852435
- Birmingham, P., & Wilkinson, D. (2003). Using research instruments: A guide for researchers. Routledge.
- Blackler, A., Popovic, V., & Mahar, D. (2010). Investigating users’ intuitive interaction with complex artefacts. Applied Ergonomics, 41(1), 72–92. https://doi.org/10.1016/j.apergo.2009.04.010
- Blank, G., & Dutton, W. H. (2011). Age and Trust in the Internet: The Centrality of Experience and Attitudes Toward Technology in Britain. Social Science Computer Review, 30(2), 135–151. https://doi.org/10.1177/0894439310396186
- Boontarig, W., Chutimaskul, W., Chongsuphajaisiddhi, V., & Papasratorn, B. (2012). Factors influencing the Thai elderly intention to use smartphones for e-health services. In: 2012, the IEEE Symposium on Humanities, science, and engineering research. pp. 479–483. IEEE.
- Chen, L., & Aklikokou, A. K. (2019). Determinants of E-government Adoption: Testing the Mediating Effects of Perceived Usefulness and Perceived Ease of Use. International Journal of Public Administration, 43(10), 850–865. https://doi.org/10.1080/01900692.2019.1660989
- Chong, A. Y.-L., Ooi, K.-B., Lin, B., & Bao, H. (2012). An empirical analysis of the determinants of 3G adoption in China. Computers in Human Behavior, 28(2), 360–369. https://doi.org/10.1016/j.chb.2011.10.005
- Choudrie, J., Pheeraphuttranghkoon, S., & Davari, S. (2018). The Digital Divide and Older Adult Population Adoption, Use and Diffusion of Mobile Phones: a Quantitative Study. Information Systems Frontiers, 22(3), 673–695. https://doi.org/10.1007/s10796-018-9875-2
- Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008
- Donat, E., Brandtweiner, R., & Kerschbaum, J. (2009). Attitudes and the Digital Divide: Attitude Measurement as Instrument to Predict Internet Usage. Informing Science: The International Journal of an Emerging Transdiscipline, 12, 037–056. https://doi.org/10.28945/427.
- Draheim, D., & Butt, S. (2019). Relevance of the UN e-Government surveys and the OECD Digital Government Index 2019 to e-government Stakeholders: The Case of Antigua and Barbuda.
- Dugdale, J. S. (2018). Entropy And Its Physical Meaning. Taylor & Francis. https://doi.org/10.1201/9781315274324
- El-Gayar, O. F., & Moran, M. (2006). College students’ Acceptance of tablet PCs: An application of the UTAUT model.
- Fatima, T., Zalfaqar, M., Ali Mehdi, A., & Ahmed, S. (2023). Investigation of Professional, Spiritual and Emotional Intelligence on Organizational Learning. International Journal of Management Thinking, 1(1), 1–19. https://doi.org/10.56868/ijmt.v1i1.11
- Feng, Y., Zhang, Y., Ying, C., Wang, D., & Du, C. (2015). Nanopore-based Fourth-generation DNA Sequencing Technology. Genomics, Proteomics & Bioinformatics, 13(1), 4–16. https://doi.org/10.1016/j.gpb.2015.01.009
- Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behaviour: An introduction to theory and research.
- Gordon, N. P., & Hornbrook, M. C. (2018). A cross-sectional survey of older adults’ readiness to engage with eHealth patient education and self-care resources. BMC health services research, 18, 1-13. https://doi.org/10.1186/s12913-018-2986-0
- Gronlund, A. (2002). Electronic government: design, applications and management. IGI Global.
- Guo, X., Sun, Y., Wang, N., et al. (2013). The dark side of elderly Acceptance of preventive mobile health services in China. Electronic Markets, 23(1), 49–61. https://doi.org/10.1007/s12525-012-0112-4
- Gustova, D. (2017). The impact of e-government strategy on economic growth and social development [Doctoral dissertation]. ISCTE-Instituto Universitario de Lisboa (Portugal).
- Guner, H., & Acarturk, C. (2020). The use and acceptance of ICT by senior citizens: a comparison of technology acceptance model (TAM) for elderly and young adults. Universal Access in the Information Society, 19, 311-330.
- Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis. Englewood cliff. New Jersey, USA, 5(3), 207.
- Harris, M. T., & Rogers, W. A. (2023). Developing a healthcare technology acceptance model (H-TAM) for older adults with hypertension. Ageing & Society, 43(4), 814-834.
- Hardill, I., & Olphert, C. W. (2012). Staying connected: Exploring mobile phone use amongst older adults in the UK. Geoforum, 43(6), 1306–1312. https://doi.org/10.1016/j.geoforum.2012.03.016
- Hartanto, D., Dalle, J., Akrim, A., & Anisah, H. U. (2021). Perceived effectiveness of e-governance as an underlying mechanism between good governance and public trust: a case of Indonesia. Digital Policy, Regulation and Governance, 23(6), 598–616. https://doi.org/10.1108/dprg-03-2021-0046
- Hong, J.-C., Lin, P.-H., & Hsieh, P.-C. (2017). The effect of consumer innovativeness on perceived value and continuance intention to use smartwatch. Computers in Human Behavior, 67, 264–272. https://doi.org/10.1016/j.chb.2016.11.001
- Hou, F., Guan, Z., Li, B., & Chong, A. Y. L. (2019). Factors influencing people’s continuous watching intention and consumption intention in live streaming. Internet Research, 30(1), 141–163. https://doi.org/10.1108/intr-04-2018-0177
- Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
- Jackson, C. M., Chow, S., & Leitch, R. A. (1997). Toward an Understanding of the Behavioral Intention to Use an Information System. Decision Sciences, 28(2), 357–389. Portico. https://doi.org/10.1111/j.1540-5915.1997.tb01315.x
- Jeng, R., & Tseng, S. M. (2018). The relative importance of computer self-efficacy, perceived ease-of-use and reducing search cost in determining consumers’ online group-buying intention. International Journal of Human and Technology Interaction (IJHaTI), 2(1), 1–12.
- Khaleel, R., & Hussain, A. (2023). Measurement Of Acute Poverty in Achini Bala-Peshawar, Pakistan; A Multidimensional Poverty Index (MPI) Approach. Journal of Advances in Humanities Research, 2(3), 146–169. https://doi.org/10.56868/jadhur.v2i3.175
- Khan, U., Cheng, Y., Shah, Z. A., & Ullah, S. (2020). Resistance in disguise and the re-construction of identity: a case of the Pashtuns in Pakistan. Inter-Asia Cultural Studies, 21(3), 374–391. https://doi.org/10.1080/14649373.2020.1797121
- Kurfalı, M., Arifoğlu, A., Tokdemir, G., & Paçin, Y. (2017). Adoption of e-government services in Turkey. Computers in Human Behavior, 66, 168–178. https://doi.org/10.1016/j.chb.2016.09.041
- Lai, X., Zhang, Q., Chen, Q., Huang, Y., Mao, N., & Liu, J. (2018). The analytics of product-design requirements using dynamic internet data: application to Chinese smartphone market. International Journal of Production Research, 57(18), 5660–5684. https://doi.org/10.1080/00207543.2018.1541200
- Lee, B., Chen, Y., & Hewitt, L. (2011). Age differences in constraints encountered by seniors in their use of computers and the internet. Computers in Human Behavior, 27(3), 1231–1237. https://doi.org/10.1016/j.chb.2011.01.003
- Lee, J. B., & Porumbescu, G. A. (2019). Engendering inclusive e-government use through citizen IT training programs. Government Information Quarterly, 36(1), 69–76. https://doi.org/10.1016/j.giq.2018.11.007
- Lin, C. A., & Kim, T. (2016). Predicting user response to sponsored advertising on social media via the technology acceptance model. Computers in Human Behavior, 64, 710–718. https://doi.org/10.1016/j.chb.2016.07.027
- Lu, X., Hong, J., Zhang, L., Cooper, O. R., Schultz, M. G., Xu, X., Wang, T., Gao, M., Zhao, Y., & Zhang, Y. (2018). Severe Surface Ozone Pollution in China: A Global Perspective. Environmental Science & Technology Letters, 5(8), 487–494. https://doi.org/10.1021/acs.estlett.8b00366
- Marengo, D., Sindermann, C., Häckel, D., Settanni, M., Elhai, J. D., & Montag, C. (2020). The association between the Big Five personality traits and smartphone use disorder: A meta-analysis. Journal of Behavioral Addictions, 9(3), 534–550. https://doi.org/10.1556/2006.2020.00069
- Marinina, O., Kirsanova, N., & Nevskaya, M. (2022). Circular Economy Models in Industry: Developing a Conceptual Framework. Energies, 15(24), 9376. https://doi.org/10.3390/en15249376
- Miller, L., Naidoo, M., Van Belle, J. P., & Chigona, W. (2006). School-level ICT adoption factors in the Western Cape schools. In Fourth IEEE International Workshop on Technology for Education in Developing Countries (TEDC'06). pp. 57–61. IEEE.
- Mills, J. S. (2016). Evaluating teleworkers’ Acceptance of mobile technology: A study based on the utaut model [Doctoral dissertation] Capella University.
- Ming, C., Chen, T., & Ai, Q. (2018). An empirical study of e-service quality and user satisfaction of public service centres in China. International Journal of Public Administration in the Digital Age (IJPADA), 5(3), 43-59. DOI: 10.4018/IJPADA.2018070104
- Morris, M. G., & Venkatesh, V. (2000). Age differences in technology adoption decisions: Implications for a changing workforce. Personnel Psychology, 53(2), 375–403. https://doi.org/10.1111/j.1744-6570.2000.tb00206.x
- Nawaz, F., Shakeel, S., Nawaz, Z., & Hamza, M. A. (2017). Logforum, 13(2). https://doi.org/10.17270/j.log.2017.2.3
- Niederhauser, D. S., Howard, S. K., Voogt, J., Agyei, D. D., Laferriere, T., Tondeur, J., & Cox, M. J. (2018). Sustainability and Scalability in Educational Technology Initiatives: Research-Informed Practice. Technology, Knowledge and Learning, 23(3), 507–523. https://doi.org/10.1007/s10758-018-9382-z
- Oliveira, T. A., Oliver, M., & Ramalhinho, H. (2020). Challenges for Connecting Citizens and Smart Cities: ICT, E-Governance and Blockchain. Sustainability, 12(7), 2926. https://doi.org/10.3390/su12072926
- Pitchayadejanant, K. (2011). Intention to use the smartphone in Bangkok extended the UTAUT model by perceived value. In International Conference on Management (ICM 2011) proceeding. Conference Master Resources.
- Poquiz, M. R., Hassan, R., & Ahmed, S. (2023). Gender Diversity Management Practices in the Hotel Industry: An Analysis of Philippine Hotel Industry. International Journal of Management Thinking, 1(1), 41–50. https://doi.org/10.56868/ijmt.v1i1.12
- Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. https://doi.org/10.3758/brm.40.3.879
- Price, S. D., Holman, C. D. J., Sanfilippo, F. M., & Emery, J. D. (2014). Association Between Potentially Inappropriate Medications from the Beers Criteria and the Risk of Unplanned Hospitalization in Elderly Patients. Annals of Pharmacotherapy, 48(1), 6–16. https://doi.org/10.1177/1060028013504904
- Renaud, K., & Van Biljon, J. (2008). Predicting technology acceptance and adoption by older people: a qualitative study. In Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries: riding the wave of technology. pp. 210-219.
- Roque, N. A., & Boot, W. R. (2016). A New Tool for Assessing Mobile Device Proficiency in Older Adults: The Mobile Device Proficiency Questionnaire. Journal of Applied Gerontology, 37(2), 131–156. https://doi.org/10.1177/0733464816642582
- Schmitter, P. C. (2018). Defining, Explaining and, then, Exploiting the Elusive Concept of “Governance.” Fudan Journal of the Humanities and Social Sciences, 12(4), 547–567. https://doi.org/10.1007/s40647-018-0236-9
- Shareef, M. A., Kumar, V., Kumar, U., & Dwivedi, Y. K. (2011). e-Government Adoption Model (GAM): Differing service maturity levels. Government Information Quarterly, 28(1), 17–35. https://doi.org/10.1016/j.giq.2010.05.006
- Siddique, W. (2016). Critical Success Factors Affecting E-Government Policy Implementation in Pakistan. JeDEM - EJournal of EDemocracy and Open Government, 8(1), 102–126. https://doi.org/10.29379/jedem.v8i1.398
- Solinthone, P., & Rumyantseva, T. (2016). E-Government Implementation. MATEC Web of Conferences, 79, 01066. https://doi.org/10.1051/matecconf/20167901066
- Sun, D., Lau, K. M., & Kafatos, M. (2008). Contrasting the 2007 and 2005 hurricane seasons: Evidence of possible impacts of Saharan dry air and dust on tropical cyclone activity in the Atlantic basin. Geophysical Research Letters, 35(15). Portico. https://doi.org/10.1029/2008gl034529
- Tezci, E. (2011). Factors that influence pre-service teachers’ ICT usage in education. European Journal of Teacher Education, 34(4), 483–499. https://doi.org/10.1080/02619768.2011.587116
- Tolston, M. T., Funke, G. J., Alarcon, G. M., et al. (2018). Have a heart: Predictability of trust in an autonomous agent teammate through team-level measures of heart rate synchrony and arousal. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 62(1): 714–715. https://doi.org/10.1177/1541931218621162
- Turban, E., King, D., Lee, J., & Viehland, D. (2004). Electronic Commerce: a managerial perspective 2004. Pearson Education.
- Ursavaş, Ö. F., Yalçın, Y., & Bakır, E. (2019). The effect of subjective norms on preservice and in‐service teachers’ behavioural intentions to use technology: A multigroup multimodel study. British Journal of Educational Technology, 50(5), 2501–2519. Portico. https://doi.org/10.1111/bjet.12834
- Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273–315. Portico. https://doi.org/10.1111/j.1540-5915.2008.00192.x
- Venkatesh, & Ramesh. (2006). Web and Wireless Site Usability: Understanding Differences and Modeling Use. MIS Quarterly, 30(1), 181. https://doi.org/10.2307/25148723
- Venkatesh, V., Chan, F. K. Y., & Thong, J. Y. L. (2011). Designing e‐government services: Key service attributes and citizens’ preference structures. Journal of Operations Management, 30(1–2), 116–133. Portico. https://doi.org/10.1016/j.jom.2011.10.001
- Venkatesh, Morris, Davis, & Davis. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425. https://doi.org/10.2307/30036540
- Yang, F. X. (2016). Effects of Restaurant Satisfaction and Knowledge Sharing Motivation on eWOM Intentions. Journal of Hospitality & Tourism Research, 41(1), 93–127. https://doi.org/10.1177/1096348013515918
- Yildiz, M. (2007). E-government research: Reviewing the literature, limitations, and ways forward. Government Information Quarterly, 24(3), 646–665. https://doi.org/10.1016/j.giq.2007.01.002
- Yu-Huei, C., Ja-Shen, C., & Ming-Chao, W. (2019). Why do older adults use wearable devices: a case study adopting the Senior Technology Acceptance Model (STAM). In: 2019 Portland International Conference on Management of Engineering and Technology (PICMET) (25-29 August 2019); Portland, OR, USA.
- Zahid, H., Ali, S., Abu-Shanab, E., & Javed, H. M. U. (2022). Determinants of intention to use e-government services: An integrated marketing relation view. Telematics and Informatics, 68, 101778. https://doi.org/10.1016/j.tele.2022.101778
- Zhang, Z., Jiménez, F. R., & Yang, S. (2022). The effect of country of origin on the perceived quality of e-services. International Journal of Electronic Marketing and Retailing, 13(4), 411. https://doi.org/10.1504/ijemr.2022.125584
- Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760–767. https://doi.org/10.1016/j.chb.2010.01.013
DOI: https://doi.org/10.24294/jipd.v8i3.3113
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