Differences of education level and job position in digital transformation adoption in Vietnam’s creative industries
DOI:
https://doi.org/10.15549/jeecar.v9i3.845Keywords:
TOE framework, one-way ANOVA, multivariate linear regression, digital transformation, creative industries, educational level, job positionsAbstract
The aim of this paper is to contribute to understanding the differences in educational level and job titles that affect the adoption of digital transformation in the context of creative industries. The approach is based primarily on the technology-organizational-environment framework, one-way analysis of variance, and multivariate linear regression that were used to test the empirical model. This article describes the difference between the educational level and the job position groups for the adoption of digital transformation in Vietnam’s creative industries, as well as an essential difference between them for the predictor variables. Our research has underlined the importance of demographic variables in relation to the adoption of digital transformation. The current study is limited to some fields of creative industries in Vietnam, such as design, creative services, new media, audiovisuals, publishing and printed media, and selected demographic parameters. More research should be done on certain fields in the creative industries and other demographic characteristics.
References
Aldowah, H., Ghazal, S., Umar, I. N., & Muniandy, B. (2017). The Impacts of Demographic Variables on Technological and Contextual Challenges of E-learning Implementation. Journal of Physics: Conference Series, 892(1), 1–13. https://doi.org/10.1088/1742-6596/892/1/012013 DOI: https://doi.org/10.1088/1742-6596/892/1/012013
Alvarenga, A., Matos, F., Godina, R., & Matias, J. C. O. (2020). Digital Transformation and Knowledge Management in the Public Sector. Sustainability, 12(14), 1–24. https://doi.org/10.3390/su12145824 DOI: https://doi.org/10.3390/su12145824
Ameme, B. K. (2015). The Impact of Customer Demographic Variables on the Adoption and Use of Internet Banking in Developing Economies. Journal of Internet Banking and Commerce, 20(2), 1–31. https://doi.org/10.4172/1204-5357.1000114 DOI: https://doi.org/10.4172/1204-5357.1000114
Awa, H. O., Baridam, D. M., & Nwibere, B. M. (2015). Demographic determinants of electronic commerce (EC) adoption by SMEs: A twist by location factors. Journal of Enterprise Information Management, 28(3), 326–345. https://doi.org/10.1108/JEIM-10-2013-0073 DOI: https://doi.org/10.1108/JEIM-10-2013-0073
Berg, J. van den, & Lingen, E. van der. (2019). An emperical study of the factors affecting the adoption of mobile enterprise applications. South African Journal of Industrial Engineering, 30(1), 124–146. https://doi.org/10.7166/30-1-1992 DOI: https://doi.org/10.7166/30-1-1992
Branca, A. S. (2008). Demographic influences on behaviour: An update to the adoption of bank delivery channels. International Journal of Bank Marketing, 26(4), 237–259. https://doi.org/10.1108/02652320810884786 DOI: https://doi.org/10.1108/02652320810884786
Chandra, S., & Kumar, K. N. (2018). Exploring factors influencing organizational adoption of augmented reality in e-commerce: Empirical analysis using technology-organization-environment model. Journal of Electronic Commerce Research, 19(3), 237-265. Retrieved from: http://www.jecr.org/sites/default/files/2018vol19no3_paper3.pdf
Cohen, L., Manion, L., & Morrison, K. (2007). Research Methods in Education (sixth). Routledge/Taylor & Francis Group. DOI: https://doi.org/10.4324/9780203029053
Cullen, M., & Kabanda, S. K. (2018). The role of demographic and motivational factors on mobile commerce usage activities in South Africa. South African Journal of Information Management, 20(1), 1–9. https://doi.org/10.4102/sajim.v20i1.817 DOI: https://doi.org/10.4102/sajim.v20i1.817
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008 DOI: https://doi.org/10.2307/249008
Eze, S. C., Awa, H. O., Chinedu-eze, V. C. A., & Bello, A. O. (2021). Demographic determinants of mobile marketing technology adoption by small and medium enterprises (SMEs) in Ekiti State, Nigeria. Humanities and Social Sciences Communications, 8(1), 1–12. https://doi.org/10.1057/s41599-021-00762-5 DOI: https://doi.org/10.1057/s41599-021-00762-5
Ghobakhloo, M., & Tang, S. H. (2013). The role of owner/manager in adoption of electronic commerce in small businesses: The case of developing countries. Journal of Small Business and Enterprise Development, 20(4), 754–787. https://doi.org/10.1108/JSBED-12-2011-0037 DOI: https://doi.org/10.1108/JSBED-12-2011-0037
Hair, J. F., Black, J. W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis. In Pearson Prentice Hall (Vol. 7). https://doi.org/10.1111/j.1467-9574.1962.tb01184.x DOI: https://doi.org/10.1111/j.1467-9574.1962.tb01184.x
Hwang, B. N., Huang, C. Y., & Wu, C. H. (2016). A TOE Approach to Establish a Green Supply Chain Adoption Decision Model in the Semiconductor Industry. Sustainability, 8(168), 1–30. https://doi.org/10.3390/su8020168 DOI: https://doi.org/10.3390/su8020168
Karatepe, O. M., & Aga, M. (2016). The effects of organization mission fulfillment and perceived organizational support on job performance: The mediating role of work engagement. International Journal of Bank Marketing, 34(3), 368–387. https://doi.org/10.1108/IJBM-12-2014-0171 DOI: https://doi.org/10.1108/IJBM-12-2014-0171
Karunagaran, S., Mathew, S. K., & Lehner, F. (2019). Differential cloud adoption: A comparative case study of large enterprises and SMEs in Germany. Information Systems Frontiers, 21(4), 861–875. https://doi.org/10.1007/s10796-017-9781-z DOI: https://doi.org/10.1007/s10796-017-9781-z
Kim, D., & Olfman, L. (2011). Determinants of Corporate Web Services Adoption : A Survey of Companies in Korea. Communications of the Association for Information Systems, 29(1), 1–24. https://doi.org/10.17705/1CAIS.02901 DOI: https://doi.org/10.17705/1CAIS.02901
Liébana-Cabanillas, F., García-Maroto, I., Muñoz-Leiva, F., & Ramos-de-Luna, I. (2020). Mobile Payment Adoption in the Age of Digital Transformation: The Case of Apple Pay. Sustainability, 12(13), 1–16. https://doi.org/10.3390/su12135443 DOI: https://doi.org/10.3390/su12135443
Liu, M. T., Dong, S., & Zhu, M. (2021). The application of digital technology in gambling industry. Asia Pacific Journal of Marketing and Logistics, 33(7), 1685–1705. https://doi.org/10.1108/APJML-11-2020-0778 DOI: https://doi.org/10.1108/APJML-11-2020-0778
Mckinnie, M. (2016). Cloud Computing: TOE Adoption Factors By Service Model In Manufacturing (Doctoral dissertation). Georgia State University, Georgia. Retrieved from: http://scholarworks.gsu.edu/bus_admin_diss/68
Munusamy, J., Run, E. C. De, Chelliah, S., & Annamalah, S. (2012). Adoption of Retail Internet Banking: A Study of Demographic Factors. Journal of Internet Banking and Commerce, 17(3), 1–14. Retrieved from: https://www.researchgate.net/publication/256051102_Adoption_of_Retail_Internet_Banking_A_Study_of_Demographic_Factors
Naicker, V., & Merwe, D. B. Van Der. (2018). Managers’ perception of mobile technology adoption in the Life Insurance industry. Information Technology & People, 31(2), 507–526. https://doi.org/10.1108/ITP-09-2016-0212 DOI: https://doi.org/10.1108/ITP-09-2016-0212
One?iu, D. D. (2020). The Impact of Social Media Adoption by Companies. Digital Transformation. Studia Universitatis ?Vasile Goldis? Arad. Economics Series, 30(2), 83–96. https://doi.org/10.2478/sues-2020-0014 DOI: https://doi.org/10.2478/sues-2020-0014
Sharma, S. K. (2015). Adoption of e-government services: The role of service quality dimensions and demographic variables. Transforming Government: People, Process and Policy, 9(2), 207–222. https://doi.org/10.1108/TG-10-2014-0046 DOI: https://doi.org/10.1108/TG-10-2014-0046
Teka, B. M. (2017). Influence of Demographic Factors on User’s Adoption of Electronic Banking in Ethiopia. Journal of Internet Banking and Commerce, 22(S7), 1–17. Retrieved from: https://www.icommercecentral.com/open-access/influence-of-demographic-factors-on-users-adoption-of-electronic-banking-in-ethiopia.pdf
Thiankhao, N., & Kraiwanit, T. (2019). Acceptance of Property Technology in Thailand in The 4.0 Era. AU EJournal of Interdisciplinary Research, 4(2), 112–121. Retrieved from: https://www.proquest.com/docview/2384090615?pq-origsite=gscholar&fromopenview=true
Tornatzky, L.G., & Fleischer, M. (1990). The processes of technological innovation. Lexington books, Lexington, MA. https://doi.org/10.1007/BF02371446 DOI: https://doi.org/10.1007/BF02371446
Trawnih, A., Yaseen, H., Al-Adwan, A. S., Alsoud, A. R., & Jaber, O. A. (2021). Factors influencing social media adoption among smes during COVID-19 crisis. Journal of Management Information and Decision Sciences, 24(6), 1–18. Retrieved from: https://www.researchgate.net/publication/352546308_Factors_Influencing_Social_Media_Adoption_Among_SMEs_During_Covid-19_Crisis
Trieu, T. V. H., & Pavelková, D. (2020). Digital transformation and its influence on performance of creative industry companies. ICFE 2020 - The 6th International Conference on Finance and Economics, 83–98. Retrieved from: https://www.researchgate.net/profile/Thierry-Tartarin/publication/349339689_COVID-19_IMPACT_ON_BUSINESS_MODELS_AND_BUSINESS_PRACTICES_RESULTS_FROM_AN_INTERNATIONAL_ONLINE_SURVEY/links/602bb7984585158939a99995/COVID-19-IMPACT-ON-BUSINESS-MODELS-AND-BUSINESS-PRACTICES-RESULTS-FROM-AN-INTERNATIONAL-ONLINE-SURVEY.pdf#page=99
Tripopsakul, S. (2018). Social media adoption as a business platform: An integrated tam-toe framework. Polish Journal of Management Studies, 18(2), 350–362. https://doi.org/10.17512/pjms.2018.18.2.28 DOI: https://doi.org/10.17512/pjms.2018.18.2.28
UNCTAD. (2018). Creative Economy Outlook: Trends in international trade in creative industries 2002–2015. Country Profiles: 2005–2014. United Nations. Retrieved from: https://unctad.org/webflyer/creative-economy-outlook-trends-international-trade-creative-industries
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478. https://doi.org/10.2307/30036540 DOI: https://doi.org/10.2307/30036540
Watson, P. B., Seaton, P., Sims, D., Jamieson, I., Mountier, J., Whittle, R., & Saarikoski, M. (2014). Exploratory Factor Analysis of the Clinical Learning Environment, Supervision and Nurse Teacher Scale (CLES+T). Journal of Nursing Measurement, 22(1), 164–180. https://doi.org/10.1891/1061-3749.22.1.164 DOI: https://doi.org/10.1891/1061-3749.22.1.164
Zoppelletto, A., Bullini Orlandi, L., & Rossignoli, C. (2020). Adopting a digital transformation strategy to enhance business network commons regeneration: an explorative case study. The TQM Journal, 32(4), 561–585. https://doi.org/10.1108/TQM-04-2020-0077 DOI: https://doi.org/10.1108/TQM-04-2020-0077
Downloads
Published
How to Cite
Issue
Section
License
The JEECAR journal allows the author(s) to hold the copyright and publishing rights of their own manuscript without restrictions.
This journal applies the Creative Attribution Common License to works we publish, and allows reuse and remixing of its content, in accordance with a CC-BY 4.0 license.
Authors are free to: Share — copy and redistribute the material in any medium or format and Adapt — remix, transform, and build upon the material for any purpose, even commercially.
Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
No additional restrictions — The author may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
The JEECAR Journal is committed to the editorial principles of all aspects of publication ethics and publication malpractice as assigned by the Committee on Public Ethics.
