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Effect of gender and regions on determinants of digital transformation adoption in creative services

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dc.title Effect of gender and regions on determinants of digital transformation adoption in creative services en
dc.contributor.author Tran Van Hai, Trieu
dc.relation.ispartof Quality - Access to Success
dc.identifier.issn 1582-2559 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.issn 2668-4861 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2022
utb.relation.volume 23
utb.relation.issue 186
dc.citation.spage 30
dc.citation.epage 36
dc.type article
dc.language.iso en
dc.publisher SRAC - Romanian Society for Quality
dc.identifier.doi 10.47750/QAS/23.186.05
dc.relation.uri https://admin.calitatea.ro/assets/Documents/Archive/PDF/20220203_071f9d55-eea8-4770-ae3f-9a5d16d2d10c.pdf
dc.subject digital transformation en
dc.subject creative industries en
dc.subject creative companies en
dc.subject TOE framework en
dc.subject analysis of variance en
dc.subject independent sample t-test en
dc.subject multivariate linear regression en
dc.description.abstract The area of digital transformation is attracting considerable interest due to the current trend of digital transformation being deployed around industries in the world. Many researchers have addressed the issue of technology acceptance in various industries; however, the area of digital transformation along with the demographic characteristics of creative services has not been explored, especially in the context of Vietnam. This study aims to clarify the influence on the determinants of adoption of digital transformation based on gender and region and is the first experiment to survey in creative services in Vietnam. The methodology is primarily derived from the technology, organization, and environment framework, and uses analysis of variance, independent sample West, and multivariate linear regression for investigation; further details on the adopted methodology can be found in this paper. The results reported here provide further evidence for the value of gender and region in the decision of digital transformation adoption and their impact on the determinants of digital transformation. This work has presented a background method for the investigation of creative companies in the context of creative services in Vietnam. However, the findings might be only representative of the characteristics of selected demographics and creative services in Vietnam, so additional studies are needed on other demographic factors and areas. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1010828
utb.identifier.obdid 43883316
utb.identifier.scopus 2-s2.0-85133579780
utb.identifier.wok 000752112200005
utb.source J-wok
dc.date.accessioned 2022-02-15T14:29:16Z
dc.date.available 2022-02-15T14:29:16Z
utb.contributor.internalauthor Tran Van Hai, Trieu
utb.fulltext.affiliation Trieu Van Hai TRAN1* 1 Ph.D. student (Management and Economics), Faculty of Management and Economic, Tomas Bata University in Zlín, Mostní 5139, 760 01 Zlín, Czech Republic, Email: van_hai@utb.cz * Corresponding Author
utb.fulltext.dates Received: 05.11.2021 Accepted: 18.12.2021 Published: 01.02.2022
utb.fulltext.references [1] Akman, I., & Rehan, M. (2016). Examination of factors influencing employees’ adoption of mobile commerce and services in Turkey. Economic Research-Ekonomska Istraživanja, 29(1), 770–781. doi:10.1080/1331677x.2016.1197552 [2] Al Hadwer, A., Tavana, M., Gillis, D., & Rezania, D. (2021). A Systematic Review of Organizational Factors Impacting Cloudbased Technology Adoption Using Technology-OrganizationEnvironment Framework. Internet of Things, 15, 100407. doi:10.1016/j.iot.2021.100407 [3] Aluri, A., & Palakurthi, R. (2011). The influence of demographic factors on consumer attitudes and intentions to use RFID technologies in the US hotel industry. Journal of Hospitality and Tourism Technology, 2(3), 188–203. doi:10.1108/17579881111173749 [4] Chandra, S., & Kumar, K. N. (2018). Exploring factors influencing organizational adoption of augmented reality in ecommerce: Empirical analysis using technology-organizationenvironment model. Journal of Electronic Commerce Research, 19(3), 237-265. Retrieved from: http://www.jecr.org/sites/default/files/2018vol19no3_paper3.pdf. [5] Chatterjee, S., Rana, N. P., Dwivedi, Y. K., & Baabdullah, A. M. (2021). Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model. Technological Forecasting and Social Change, 170, 120880. doi:10.1016/j.techfore.2021.120880 [6] Chawla, D., & Joshi, H. (2020). The moderating role of gender and age in the adoption of mobile wallet. Foresight, 22(4), 483–504. doi:10.1108/fs-11-2019-0094 [7] Chen, L., Gillenson, M. L., & Sherrell, D. L. (2002). Enticing online consumers: an extended technology acceptance perspective. Information & Management, 39(8), 705–719. doi:10.1016/s0378-7206(01)00127-6 [8] Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319. doi:10.2307/249008 [9] Hair, J. F., Black, J. W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis, Pearson Prentice Hall. doi: 10.1111/j.1467-9574.1962.tb01184.x. [10] Harris, M., Cox, K. C., Musgrove, C. F., & Ernstberger, K. W. (2016). Consumer preferences for banking technologies by age groups. International Journal of Bank Marketing, 34(4), 587–602. doi:10.1108/ijbm-04-2015-0056 [11] 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(2), 168. doi:10.3390/su8020168 [12] Karatepe, O. M., & Aga, M. (2016). The effects of organization mission fulfillment and perceived organizational support on job performance. International Journal of Bank Marketing, 34(3), 368–387. doi:10.1108/ijbm-12-2014-0171 [13] Ju Kwon, H., Joshi, P., & Prier Jackson, V. (2007). The effect of consumer demographic characteristics on the perception of fashion web site attributes in Korea. Journal of Fashion Marketing and Management: An International Journal, 11(4), 529–538. doi:10.1108/13612020710824580 [14] Liu, D., & Guo, X. (2016). Exploring gender differences in acceptance of mobile computing devices among college students. Information Systems and e-Business Management, 15(1), 197–223. doi:10.1007/s10257-016-0315-x [15] Mckinnie, M. (2016). Cloud Computing: TOE Adoption Factors By Service Model In Manufacturing (Doctoral dissertation). Georgia State University. Retrieved from: http://scholarworks.gsu.edu/bus_admin_diss/68 [16] Naqvi, M., Li, S., Jiang, Y., & Naqvi, M. H. A. (2019). The rise of social networking sites. Asia Pacific Journal of Marketing and Logistics, 32(1), 232–252. doi:10.1108/apjml-01-2019-0029 [17] Porter, C. E., & Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics. Journal of Business Research, 59(9), 999–1007. doi:10.1016/j.jbusres.2006.06.003 [18] Ramírez-Correa, P. E., Grandón, E. E., & Arenas-Gaitán, J. (2019). Assessing differences in customers’ personal disposition to e-commerce. Industrial Management & Data Systems, 119(4), 792–820. doi:10.1108/imds-07-2018-0280 [19] Ritz, W., Wolf, M., & McQuitty, S. (2019). Digital marketing adoption and success for small businesses. Journal of Research in Interactive Marketing, 13(2), 179–203. doi:10.1108/jrim-04-2018-0062 [20] Schober, P., Boer, C., & Schwarte, L. A. (2018). Correlation Coefficients. Anesthesia & Analgesia, 126(5), 1763–1768. doi:10.1213/ane.0000000000002864 [21] Tornatzky, L.G., & Fleischer, M. (1990). The processes of technological innovation. Lexington books, Lexington, MA. doi: 10.1007/BF02371446. [22] 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/ThierryTartarin/publication/349339689_COVID19_IMPACT_ON_BUSINESS_MODELS_AND_BUSINESS_PRACTICES_RESULTS_FROM_AN_INTERNATIONAL_ONLINE_SURVEY/links/602bb7984585158939a99995/COVID-19-IMPACT-ON-BUSINESS-MODELS-AND-BUSINESSPRACTICES-RESULTS-FROM-AN-INTERNATIONALONLINE-SURVEY.pdf#page=99 [23] Tripopsakul, S. (2018). SOCIAL MEDIA ADOPTION AS A BUSINESS PLATFORM: AN INTEGRATED TAM-TOE FRAMEWORK. Polish Journal of Management Studies, 18(2), 350–362. doi:10.17512/pjms.2018.18.2.28 [24] Ullah, F., Qayyum, S., Thaheem, M. J., Al-Turjman, F., & Sepasgozar, S. M. E. (2021). Risk management in sustainable smart cities governance: A TOE framework. Technological Forecasting and Social Change, 167, 120743. doi:10.1016/j.techfore.2021.120743 [25] UNCTAD (2008). Creative Economy Report 2008. The Challenge of Assessing the Creative Economy: towards Informed Policy-making, United Nations. doi: 10.1016/j.respol.2005.04.009. [26] Venkatesh, Morris, Davis, & Davis. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425. doi:10.2307/30036540
utb.fulltext.sponsorship -
utb.wos.affiliation [Trieu Van Hai Tran] Tomas Bata Univ Zlin, Fac Management & Econ, Management & Econ, Mostni 5139, Zlin 76001, Czech Republic
utb.scopus.affiliation Faculty of Management and Economic, Tomas Bata University in Zlín, Mostní 5139, Zlín, 760 01, Czech Republic
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utb.fulltext.faculty Faculty of Management and Economics
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