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Operations, Information & Technology

Using technology acceptance model to investigate digital business intention among Indonesian students

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Article: 2314253 | Received 05 Apr 2023, Accepted 31 Jan 2024, Published online: 19 Feb 2024

References

  • Abdullah, F., & Ward, R. (2016). Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors. Computers in Human Behavior, 56, 1–16. https://doi.org/10.1016/j.chb.2015.11.036
  • Abdullah, F., Ward, R., & Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students’ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios. Computers in Human Behavior, 63, 75–90. https://doi.org/10.1016/j.chb.2016.05.014
  • Ahmed, T., Chandran, V. G. R., Klobas, J. E., Liñán, F., & Kokkalis, P. (2020). Entrepreneurship education programmes: How learning, inspiration and resources affect intentions for new venture creation in a developing economy. The International Journal of Management Education, 18(1), 100327. https://doi.org/10.1016/j.ijme.2019.100327
  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
  • Ajzen, I., & Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological Bulletin, 82(2), 261–277. https://doi.org/10.1037/h0076477
  • Alferaih, A. (2022). Starting a new business? Assessing university students’ intentions towards digital entrepreneurship in Saudi Arabia. International Journal of Information Management Data Insights, 2(2), 100087. https://doi.org/10.1016/j.jjimei.2022.100087
  • Al-Mamun, A., Olowolayemo, A., Wani, S., & Sofiadin, A. (2022). Exploring the impact of digital entrepreneurship education among graduates in Bangladesh. Journal of Information Systems and Digital Technologies, 4(2), 58–81.
  • Bachmann, A. K., Maran, T., Furtner, M., Brem, A., & Welte, M. (2021). Improving entrepreneurial self-efficacy and the attitude towards starting a business venture. Review of Managerial Science, 15(6), 1707–1727. https://doi.org/10.1007/s11846-020-00394-0
  • Bandura, A. (1986). The explanatory and predictive scope of self-efficacy theory. Journal of Social and Clinical Psychology, 4(3), 359–373. https://doi.org/10.1521/jscp.1986.4.3.359
  • Bandura, A. (1997). Self-efficacy: The exercise of control. Freeman.
  • Barba-Sánchez, V., Mitre-Aranda, M., & del Brío-González, J. (2022). The entrepreneurial intention of university students: An environmental perspective. European Research on Management and Business Economics, 28(2), 100184. https://doi.org/10.1016/j.iedeen.2021.100184
  • Bharadwaj, A. S. (2000). A resource-based perspective on information technology capability and firm performance: an empirical investigation. MIS Quarterly, 24(1), 169–196. https://doi.org/10.2307/3250983
  • Bilal, M., Chaudhry, S., Amber, H., Shahid, M., Aslam, S., & Shahzad, K. (2021). Entrepreneurial leadership and employees’ proactive behaviour: Fortifying self-determination theory. Journal of Open Innovation: Technology, Market, and Complexity, 7(3), 176. https://doi.org/10.3390/joitmc7030176
  • Bischoff, K., Volkmann, C. K., & Audretsch, D. B. (2018). Stakeholder collaboration in entrepreneurship education: an analysis of the entrepreneurial ecosystems of European higher educational institutions. The Journal of Technology Transfer, 43(1), 20–46. https://doi.org/10.1007/s10961-017-9581-0
  • Chatterjee, S., Chaudhuri, R., Vrontis, D., & Basile, G. (2022). Digital transformation and entrepreneurship process in SMEs of India: A moderating role of adoption of AI-CRM capability and strategic planning. Journal of Strategy and Management, 15(3), 416–433. https://doi.org/10.1108/JSMA-02-2021-0049
  • Chin, W. W. (2009). Bootstrap cross-validation indices for PLS path model assessment. In Handbook of partial least squares: Concepts, methods and applications (pp. 83–97). Springer Berlin Heidelberg.
  • Clinkard, K. (2018). Are employability and entrepreneurial measures for higher education relevant? Introducing AGILE reflection. Industry and Higher Education, 32(6), 375–390. https://doi.org/10.1177/0950422218808
  • Darmanto, S., Darmawan, D., Ekopriyono, A., & Dhani, A. (2022). Development of digital entrepreneurial intention model in Uncertain Era. Uncertain Supply Chain Management, 10(3), 1091–1102. https://doi.org/10.5267/j.uscm.2022.7.050
  • 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
  • Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Doctoral dissertation, Massachusetts Institute of Technology. https://core.ac.uk/download/pdf/4387241.pdf
  • Denanyoh, R., Adjei, K., & Nyemekye, G. E. (2015). Factors that impact on entrepreneurial intention of tertiary students in Ghana. International Journal of Business and Social Research, 5(3), 19–29.
  • Dimcheva, G. (2019). Establishment methodology of a training center for conventional and digital management and entrepreneurship at the University of Telecommunications and Post. International Journal Information Models and Analyses, 13(2), 122–128.
  • Elia, G., Margherita, A., & Passiante, G. (2020). Digital entrepreneurship ecosystem: How digital technologies and collective intelligence are reshaping the entrepreneurial process. Technological Forecasting and Social Change, 150, 119791. https://doi.org/10.1016/j.techfore.2019.119791
  • Emmanuel, C. P., Qin, S., Hossain, S. F. A., & Hussain, K. (2022). Factors influencing social-media-based entrepreneurship prospect among female students in China. Heliyon, 8(12), e12041. https://doi.org/10.1016/j.heliyon.2022.e12041
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
  • Fragoso-Diaz, O., Lopez Caballero, V., Rojas-Perez, J. C., Santaolaya-Salgado, R., & Gonzalez-Serna, J. G. (2021). On the generation of e-learning resources using business process, natural language processing, and web services. IT Professional, 23(2), 40–44. https://doi.org/10.1109/MITP.2021.3054640
  • Hair, J. F., Jr, Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101–110. https://doi.org/10.1016/j.jbusres.2019.11.069
  • Hair, J. F., Jr, Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: Updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107–123. https://doi.org/10.1504/IJMDA.2017.087624
  • Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(1-2), 1–12. https://doi.org/10.1016/j.lrp.2013.01.001
  • Hasan, S. M., Khan, E. A., & Nabi, M. N. U. (2017). Entrepreneurial education at university level and entrepreneurship development. Education + Training, 59(7/8), 888–906. https://doi.org/10.1108/ET-01-2016-0020
  • Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., Ketchen, D. J., Jr., Hair, J. F., Hult, G. T. M., & Calantone, R. J. (2014). Common beliefs and reality about PLS: Comments on Rönkkö and Evermann (2013). Organizational Research Methods, 17(2), 182–209. https://doi.org/10.1177/1094428114526928
  • Henseler, J., & Schuberth, F. (2020). Using confirmatory composite analysis to assess emergent variables in business research. Journal of Business Research, 120, 147–156. https://doi.org/10.1016/j.jbusres.2020.07.026
  • Ho, M. H. R., Uy, M. A., Kang, B. N., & Chan, K. Y. (2018). Impact of entrepreneurship training on entrepreneurial efficacy and alertness among adolescent youth. Frontiers in Education, 3, 13. https://doi.org/10.3389/feduc.2018.00013
  • Hueso, J. A., Jaén, I., & Liñán, F. (2021). From personal values to entrepreneurial intention: A systematic literature review. International Journal of Entrepreneurial Behavior & Research, 27(1), 205–230. https://doi.org/10.1108/IJEBR-06-2020-0383
  • Jena, R. K. (2020). Measuring the impact of business management Student’s attitude towards entrepreneurship education on entrepreneurial intention: A case study. Computers in Human Behavior, 107, 106275. https://doi.org/10.1016/j.chb.2020.106275
  • Karimi, S., Biemans, H. J., Naderi Mahdei, K., Lans, T., Chizari, M., & Mulder, M. (2017). Testing the relationship between personality characteristics, contextual factors and entrepreneurial intentions in a developing country. Journal international de psychologie, 52(3), 227–240. https://doi.org/10.1002/ijop.12209
  • Kickul, J., Gundry, L., Mitra, P., & Berçot, L. (2018). Designing with purpose: advocating innovation, impact, sustainability, and scale in social entrepreneurship education. Entrepreneurship Education and Pedagogy, 1(2), 205–221. https://doi.org/10.1177/2515127418772
  • Kollmann, T., Kleine-Stegemann, L., de Cruppe, K., & Then-Bergh, C. (2022). Eras of digital entrepreneurship. Business & Information Systems Engineering, 64(1), 15–31. https://doi.org/10.1007/s12599-021-00728-6
  • Kolvereid, L. (1996). Prediction of employment status choice intentions. Entrepreneurship Theory and Practice, 21(1), 47–58. https://doi.org/10.1177/104225879602100
  • Kominfo. (2023). Internet users in Indonesia reaches 82 million. https://www.kominfo.go.id/
  • Lindell, M., & Whitney, D. (2001). Accounting for common method variance in cross-sectional research designs. The Journal of Applied Psychology, 86(1), 114–121. https://doi.org/10.1037/0021-9010.86.1.114
  • Linan, F. (2004). Intention-based models of entrepreneurship education. Piccolla Impresa/Small Business, 3(1), 11–35.
  • Liñán, F., & Chen, Y. (2009). Development and cross–cultural application of a specific instrument to measure entrepreneurial intentions. Entrepreneurship Theory and Practice, 33(3), 593–617. https://doi.org/10.1111/j.1540-6520.2009.00318.x
  • Mahfud, T., Triyono, M. B., Sudira, P., & Mulyani, Y. (2020). The influence of social capital and entrepreneurial attitude orientation on entrepreneurial intentions: the mediating role of psychological capital. European Research on Management and Business Economics, 26(1), 33–39. https://doi.org/10.1016/j.iedeen.2019.12.005
  • Mukhtar, S., Wardana, L. W., Wibowo, A., & Narmaditya, B. S. (2021). Does entrepreneurship education and culture promote students’ entrepreneurial intention? The mediating role of entrepreneurial mindset. Cogent Education, 8(1), 1918849. https://doi.org/10.1080/2331186X.2021.1918849
  • Nambisan, S., & Baron, R. A. (2021). On the costs of digital entrepreneurship: Role conflict, stress, and venture performance in digital platform-based ecosystems. Journal of Business Research, 125, 520–532. https://doi.org/10.1016/j.jbusres.2019.06.037
  • Nambisan, S., Lyytinen, K., Majchrzak, A., & Song, M. (2017). Digital innovation management: Reinventing innovation management research in a digital world. MIS Quarterly, 41(1), 223–238. https://doi.org/10.25300/MISQ/2017/41:1.03
  • Nowiński, W., Haddoud, M. Y., Lančarič, D., Egerová, D., & Czeglédi, C. (2019). The impact of entrepreneurship education, entrepreneurial self-efficacy and gender on entrepreneurial intentions of university students in the Visegrad countries. Studies in Higher Education, 44(2), 361–379. https://doi.org/10.1080/03075079.2017.1365359
  • Pesämaa, O., Zwikael, O., Hair, J. F., Jr., & Huemann, M. (2021). Publishing quantitative papers with rigor and transparency. International Journal of Project Management, 39(3), 217–222. https://doi.org/10.1016/j.ijproman.2021.03.001
  • Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. The Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
  • 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
  • Rajesh, R. (2021). Flexible business strategies to enhance resilience in manufacturing supply chains: An empirical study. Journal of Manufacturing Systems, 60, 903–919. https://doi.org/10.1016/j.jmsy.2020.10.010
  • Ratten, V., & Usmanij, P. (2021). Entrepreneurship education: Time for a change in research direction? The International Journal of Management Education, 19(1), 100367. https://doi.org/10.1016/j.ijme.2020.100367
  • Saeid, N., & Eslaminejad, T. (2016). Relationship between student’s self-directed-learning readiness and academic self-efficacy and achievement motivation in students. International Education Studies, 10(1), 225–223. https://doi.org/10.5539/ies.v10n1p225
  • Saptono, A., Wibowo, A., Widyastuti, U., Narmaditya, B. S., & Yanto, H. (2021). Entrepreneurial self-efficacy among elementary students: The role of entrepreneurship education. Heliyon, 7(9), e07995. https://doi.org/10.1016/j.heliyon.2021.e07995
  • Seow, R. Y. C. (2022). Personality traits of traditional entrepreneur and digital entrepreneur: A systematic literature review/Seow, Richard Yeaw Chong. ASEAN Entrepreneurship Journal (AEJ), 8(2), 56–71.
  • Soluk, J., Kammerlander, N., & Darwin, S. (2021). Digital entrepreneurship in developing countries: The role of institutional voids. Technological Forecasting and Social Change, 170, 120876. https://doi.org/10.1016/j.techfore.2021.120876
  • Teo, T., Lee, C. B., Chai, C. S., & Wong, S. L. (2009). Assessing the intention to use technology among pre-service teachers in Singapore and Malaysia: A multigroup invariance analysis of the Technology Acceptance Model (TAM). Computers & Education, 53(3), 1000–1009. https://doi.org/10.1016/j.compedu.2009.05.017
  • Urbinati, A., Chiaroni, D., Chiesa, V., & Frattini, F. (2020). The role of digital technologies in open innovation processes: An exploratory multiple case study analysis. R&D Management, 50(1), 136–160. https://doi.org/10.1016/j.jclepro.2020.122964
  • Vejayaratnam, N., Paramasivam, T., & Mustakim, S. S. (2019). Digital entrepreneurial intention among private technical and vocational education (TVET) Students. International Journal of Academic Research in Business and Social Sciences, 9(12), 110–120.
  • Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
  • Volkmann, C. K., & Grünhagen, M. (2022). The COVID-19 pandemic as a catalyst for digital entrepreneurship education: Reflections on a rapid transformation of an educational ecosystem. In The COVID-19 crisis and entrepreneurship: Perspectives and experiences of researchers, thought leaders, and policymakers (pp. 253–273). Springer International Publishing. https://doi.org/10.1007/978-3-031-04655-1_18
  • Wang, M., Li, Y., & Guo, X. (2020). The impact of digital entrepreneurship education on entrepreneurial intention: Evidence from university students in China. Sustainability, 12(13), 5191.
  • Wardana, L. W., Ahmad, Indrawati, A., Maula, F. I., Mahendra, A. M., Fatihin, M. K., Rahma, A., Nafisa, A. F., Putri, A. A., & Narmaditya, B. S. (2023). Do digital literacy and business sustainability matter for creative economy? The role of entrepreneurial attitude. Heliyon, 9(1, e12763). https://doi.org/10.1016/j.heliyon.2022.e12763
  • Wood, R., & Bandura, A. (1989). Social cognitive theory of organizational management. The Academy of Management Review, 14(3), 361–384. https://doi.org/10.5465/amr.1989.4279067
  • Younis, H., Katsioloudes, M., & Al Bakri, A. (2020). Digital entrepreneurship intentions of Qatar university students motivational factors identification: Digital entrepreneurship intentions. International Journal of E-Entrepreneurship and Innovation, 10(1), 56–74. https://doi.org/10.4018/IJEEI.2020010105
  • Youssef, A. B., Boubaker, S., Dedaj, B., & Carabregu-Vokshi, M. (2021). Digitalization of the economy and entrepreneurship intention. Technological Forecasting and Social Change, 164, 120043. https://doi.org/10.1016/j.techfore.2020.120043
  • Yu, T. K., Chao, C. M., & Wang, Y. (2022). Factors influencing the teaching intention of business college teachers to fulfill digital entrepreneurship courses. Frontiers in Psychology, 13, 860808. https://doi.org/10.3389/fpsyg.2022.860808
  • Zen, Z., Reflianto, Syamsuar, & Ariani, F. (2022). Academic achievement: The effect of project-based online learning method and student engagement. Heliyon, 8(11), e11509. https://doi.org/10.1016/j.heliyon.2022.e11509
  • Zhao, H., Seibert, S. E., & Hills, G. E. (2005). The mediating role of self-efficacy in the development of entrepreneurial intentions. The Journal of Applied Psychology, 90(6), 1265–1272. https://doi.org/10.1037/0021-9010.90.6.1265