The effect of college students’ technology acceptance on e-commerce adoption
DOI:
https://doi.org/10.26740/bisma.v14n1.p46-62Keywords:
TAM, self-efficacy, anxiety, e-commerce, intention, anxiety; e-commerce; intention; self-efficacy; TAMAbstract
This study aims to investigate e-commerce adoption using extended technology acceptance model (TAM) by adding self-efficacy and anxiety. The research samples included 233 undergraduate students were collected using an online survey form distributed through chat groups and social media. The collected data were analysed using partial least square-structural equation modelling (PLS-SEM) to investigate the proposed hypotheses in the model. This study found that self-efficacy has no impact towards perceived usefulness, self-efficacy has positive significant impact towards perceived ease of use, anxiety has no impact on both perceived usefulness and perceived ease of use, perceived usefulness has positive significant impact towards attitude, perceived ease of use has no impact towards attitude, perceived ease of use has positive significant impact on perceived usefulness, perceived usefulness has no impact towards e-commerce adoption, perceived ease of use has positive significant impact towards e-commerce adoption, and attitude has a positive significant impact towards e-commerce adoption. These findings further confirmed that TAM not only could be used to predict e-ticketing, e-learning, e-payment, and e-commerce purchase adoption but also e-commerce entrepreneurship. This study also further confirmed that the relationship between extended variable such as self-efficacy and anxiety with TAM variables might vary according to where the investigation was being held.
References
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.
Al-Gahtani, S. S. (2016). Empirical investigation of e-learning acceptance and assimilation: A structural equation model. Applied Computing and Informatics, 12(1), 27–50. https://doi.org/10.1016/j.aci.2014.09.001.
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
Alenezi, A., Abdul Karim, A. M., & Veloo, A. (2010). An empirical investigation into the role of enjoyment, computer anxiety, computer self-efficacy and Internet experience in influencing the students’ intention to use e-learning: a case study from Saudi Arabian government universities. Turkish Online Journal of Educational Technology, 9, 22–34. http://tojet.net/articles/v9i4/943.pdf
Almaimouni, A., Houghton, L., & Sandhu, K. (2014). Impact of Social Influence on Entrepreneurs to Use e-Commerce in Saudi Arabia. 5(6), 7761–7772. http://ijcsit.com/docs/Volume%205/vol5issue06/ijcsit20140506190.pdf.
APJII. (2017). Infografis Penetrasi & Perilaku Pengguna Internet Indonesia. Jakarta: Asosiasi Penyelenggara Jasa Internet Indonesia. Retrieved July 14th 2020 from https://apjii.or.id/content/read/39/342/Hasil-Survei-Penetrasi-dan-Perilaku-Pengguna-Internet-Indonesia-2017.
APJII. (2019). Infografis Penetrasi & Perilaku Pengguna Internet Indonesia. Jakarta: Asosiasi Penyelenggara Jasa Internet Indonesia Retrieved July 14th 2020 from https://apjii.or.id/survei.
Bailey, A. A., Pentina, I., Mishra, A. S., & Mimoun, M. S. Ben. (2017). Mobile payments adoption by US consumers: An extended TAM. International Journal of Retail & Distribution Management, 45(6), 626-640. https://doi.org/10.1108/ijrdm-08-2016-0144.
Baki, R., Birgoren, B., & Aktepe, A. (2018). A meta analysis of factors affecting perceived usefulness and perceived ease of use in the adoption of e-learning systems. Turkish Online Journal of Distance Education, 19(4), 4-42. https://doi.org/10.17718/tojde.471649
Balea, J. (2017). Alibaba leads $1.1b investment in Indonesia’s Tokopedia. Tech in Asia. Retrieved July 15th 2020 from https://www.techinasia.com/alibaba-leads-11b-investment-indonesias-tokopedia.
Bandura, A. (2002). Social Cognitive Theory in Cultural Context. Applied Psychology, 51(2), 269–290. https://doi.org/10.1111/1464-0597.00092.
Bennani, A., & Oumlil, R. (2014). Acceptance of E-Entrepreneurship by Future Entrepreneurs in Developing Countries : Case of Morocco. 2014. https://doi.org/10.5171/2014.700742.
Bhatiasevi, V. (2011). Acceptance of e-learning for users in higher education: An extension of the technology acceptance model. Social Sciences, 6, 513–520. https://doi.org/10.3923/sscience.2011.513.520.
BPS. (2019). Berita Resmi Statistik 5 November 2019. Badan Pusat Statistik. Retrieved July 14th 2020 from https://www.bps.go.id/pressrelease/2019/11/05/1565/agustus-2019--tingkat-pengangguran-terbuka--tpt--sebesar-5-28-persen.html
Calisir, F., Altin Gumussoy, C., Bayraktaroglu, A. E., & Karaali, D. (2014). Predicting the intention to use a web‐based learning system: Perceived content quality, anxiety, perceived system quality, image, and the technology acceptance model. Human Factors and Ergonomics in Manufacturing & Service Industries, 24(5), 515-531. https://doi.org/10.1002/hfm.20548
Chen, H., & Tseng, H. (2012). Factors that influence acceptance of web-based e-learning systems for the in-service education of junior high school teachers in Taiwan. Evaluation and Program Planning, 35(3), 398-406. https://doi.org/10.1016/j.evalprogplan.2011.11.007
Chin, W. W. (1998). The Partial Least Squares Approach to Structural Equation Modeling. Advances in Hospitality and Leisure, 8(2). https://www.researchgate.net/publication/311766005_The_Partial_Least_Squares_Approach_to_Structural_Equation_Modeling.
Chou, C.-M., Shen, C.-H., Hsiao, H.-C., & Chen, S.-C. (2017). Tertiary students’ entrepreneurial career intentions of entrepreneurship-embedded internship programs. Studies in Higher Education, 42(11), 2116–2133. https://doi.org/10.1080/03075079.2015.1125596.
Chyung, S. Y., Roberts, K., Swanson, I., & Hankinson, A. (2017). Evidence-based survey design: The use of a midpoint on the Likert scale. Performance Improvement, 56(10), 15–23. https://doi.org/10.1002/pfi.21727.
Cohen, J. (2013). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). New York: Elsevier Science.
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., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. https://doi.org/10.2307/2632151.
Elasmar, M. G., & Carter, M. E. (1996). Use of E-mail by College Students and Implications for Curriculum. Journalism & Mass Communication Educator, 51(2), 46–54. https://doi.org/10.1177/107769589605100206.
Falk, R. F., & Miller, N. B. (1992). A Primer for Soft Modeling. Ohio: University of Akron Press.
Farani, A. Y., Karimi, S., & Motaghed, M. (2017). The role of entrepreneurial knowledge as a competence in shaping Iranian students’ career intentions to start a new digital business. European Journal of Training and Development, 41(1), 83-100. https://doi.org/10.1108/ejtd-07-2016-0054.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research. Boston: Addison-Wesley
Garland, R. (1991). The mid-point on a rating scale: Is it desirable. Marketing Bulletin, 2(1), 66–70. http://marketing-bulletin.massey.ac.nz/V2/MB_V2_N3_Garland.pdf.
Gumussoy, C. A., Kaya, A., & Ozlu, E. (2018). Determinants of mobile banking use: an extended TAM with perceived risk, mobility access, compatibility, perceived self-efficacy and subjective norms. In Industrial Engineering in the Industry 4.0 Era, 225–238. https://doi.org/10.1007/978-3-319-71225-3_20.
Hair, J. F., Ringle, C. M., Hult, G. T. M., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling. New York: SAGE Publications, Inc.
Hassen, H., Abd Rahim, N. H., & Shah, A. (2019). Analysis of models for e-commerce adoption factors in developing countries. International Journal on Perceptive and Cognitive Computing, 5(2), 72–80. https://doi.org/10.31436/ijpcc.v5i2.100.
Hoque, M. R., Ali, M. A., & Mahfuz, M. A. (2015). An Empirical Investigation on the Adoption of E-Commerce in Bangladesh. Asia Pacific Journal of Information Systems, 25(1), 1–24. https://doi.org/10.14329/apjis.2015.25.1.001.
Hsu, M.-H., Yen, C.-H., Chiu, C.-M., & Chang, C.-M. (2006). A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior. International Journal of Human-Computer Studies, 64(9), 889–904. https://doi.org/10.1016/j.ijhcs.2006.04.004.
Hussein, L. A., Baharudin, A. S., Jayaraman, K., & Kiumarsi, S. (2019). B2B e-commerce technology factors with mediating effect perceived usefulness in Jordanian manufacturing SMES. Journal of Engineering Science and Technology, 14(1), 411–429. https://jestec.taylors.edu.my/V14Issue1.htm.
Hwang, G., Yoo, J., & Orr, T. J. (2018). The Influence of Online Customer Reviews on Sport Consumers’ Purchase Intentions: The Mediating Effect of the Perceived Credibility of Website. International Journal of Human Movement Science, 12(2), 53–68. https://doi.org/10.23949/ijhms.2018.08.12.2.4.
Isaac, O., Abdullah, Z., Ramayah, T., & Mutahar, A. M. (2017). Internet usage within government institutions in Yemen: An extended technology acceptance model (TAM) with internet self-efficacy and performance impact. Science International, 29(4), 737–747. http://www.sci-int.com/pdf/636367903853842652.pdf.
Kala, J. R. K., Wamba, S. F., & Yombia, S. M. K. (2017). Determinants of Facebook adoption and use within the workspace in Catholic University of Central Africa. In World Conference on Information Systems and Technologies (pp. 217-224). Springer, Cham. https://doi.org/10.1007/978-3-319-56541-5_22
Koesmawardhani, N. W. (2015). Nadiem Makarim, Pendiri Go-Jek yang Sudah Bantu 10 Ribu Sopir Ojek. Detik News. Retrieved July 15th 2020 from https://news.detik.com/tokoh/d-2938089/nadiem-makarim-pendiri-go-jek-yang-sudah-bantu-10-ribu-sopir-ojek.
Kulas, J. (2008). SPSS Essentials: Managing and Analyzing Social Sciences Data. New Jersey: John Wiley & Sons.
Kulas, J., & Stachowski, A. (2009). Middle category endorsement in odd-numbered Likert response scales: Associated item characteristics, cognitive demands, and preferred meanings. Journal of Research in Personality - J RES PERSONAL, 43, 489–493. https://doi.org/10.1016/j.jrp.2008.12.005.
Letchumanan, M., & Muniandy, B. (2013). Migrating to E‐Book: A Study on Perceived Usefulness and Ease of use. Library Hi Tech News, 30(7), 10-16. https://doi.org/10.1108/LHTN-05-2013-0028
Liébana-Cabanillas, F., Marinković, V., & Kalinić, Z. (2017). A SEM-neural network approach for predicting antecedents of m-commerce acceptance. International Journal of Information Management, 37(2), 14-24. https://doi.org/10.1016/j.ijinfomgt.2016.10.008
Liang, C.-C., & Shiau, W.-L. (2018). Moderating effect of privacy concerns and subjective norms between satisfaction and repurchase of airline e-ticket through airline-ticket vendors. Asia Pacific Journal of Tourism Research, 23(12), 1142–1159. https://doi.org/10.1080/10941665.2018.1528290.
Lingga, M. A. (2019). 2020, Transaksi di e-Commerce Diprediksi Capai 12 Miliar Dollar AS. Kompas. Retrieved July 15th 2020 from https://ekonomi.kompas.com/read/2019/02/19/180700126/2020-transaksi-di-e-commerce-diprediksi-capai-12-miliar-dollar-as.
Mahajan, P., & Agarwal, M. (2015). Exploring the Potential of E-Commerce in the Digital Age: Challenges and Opportunities for Commerce Education. IUP Journal of Information Technology, 11(4). https://www.proquest.com/openview/709d47805cc87e04e57775537b8cd665/1?pq-origsite=gscholar&cbl=2029987.
Maranti, E. (2019). LPEM FEB UI: Tokopedia Berpengaruh Besar pada Perekonomian Indonesia. Marketeers. Retrieved July 15th 2020 from https://marketeers.com/lpem-feb-uitokopedia-berpengaruh-besar-pada-perekonomian-indonesia/
McKay-Nesbitt, J., Ryan, C., & Yoon, S. (2018). College students’ online purchase attitudes and intentions: gender, product type, and risk. International Journal of Electronic Marketing and Retailing, 9(3), 207–229. https://doi.org/doi.org/10.1504/ijemr.2018.10010925.
Mohamed, N., & Abdul Karim, S. N. (2012). Open Source E-learning Anxiety, Self-Efficacy and Acceptance – A Partial Least Square Approach. International Journal of Mathematics and Computers in Simulation, 4(6), 361-368. http://naun.org/main/NAUN/mcs/16-364.pdf
Moradi, L., Yahya, Y., Mohamed, I., & Raisian, K. (2017). A Study of factors influencing online purchasing intention within e-tourism setting. Journal of Environmental Management & Tourism, 8(4), 882–895. https://journals.aserspublishing.eu/jemt/article/view/1424.
Ndubisi, N. (2021). Factors influencing e-learning adoption intention: Examining the determinant structure of the decomposed theory of planned behaviour constructs. In Proceedings of the 27th Annual Conference of HERDSA, 252–262. https://www.herdsa.org.au/publications/conference-proceedings/research-and-development-higher-education-transforming-23.
Park, Y., Son, H., & Kim, C. (2012). Investigating the determinants of construction professionals' acceptance of web-based training: An extension of the technology acceptance model. Automation in Construction, 22, 377-386. https://doi.org/10.1016/j.autcon.2011.09.016
Purnomo, S. H., & Lee, Y. (2013). E-learning adoption in the banking workplace in indonesia: An empirical study. Information Development, 29(2), 138-153. https://doi:10.1177/0266666912448258
Rahayu, N. (2019). Pertumbuhan E-Commerce Pesat di Indonesia. Warta Ekonomi. Retrieved July 15th 2020 from https://www.wartaekonomi.co.id/read216302/pertumbuhan-e-commerce-pesat-di-indonesia.html.
Rahman, Z., Kumaran, S., Zanuddin, H., & Nasir, M. (2017). SM Analytics: Impact of SM Engagement Metrics on Online Purchase Intention. Journal of Engineering and Applied Sciences, 12(2), 283–289. https://medwelljournals.com/abstract/?doi=jeasci.2017.283.289.
Riantini, R. E. (2018). Adoption of E-Commerce Online to Offline with Technology Acceptance Model (TAM) Approach. 2018 4th International Conference on Computer and Information Sciences (ICCOINS), 1–6. https://doi.org/10.1109/iccoins.2018.8510613.
Robey, D. (1979). User Attitudes and Management Information System Use. The Academy of Management Journal, 22(3), 527–538. https://doi.org/10.2307/255742.
Saade, R., & Kira, D. (2006). The Emotional State of Technology Acceptance. The Journal of Issues in Informing Science and Information Technology, 3. https://doi.org/10.28945/2945.
Salloum, S. A., & Al-Emran, M. (2018). Factors affecting the adoption of E-payment systems by university students: Extending the TAM with trust. International Journal of Electronic Business, 14(4), 371–390. https://doi.org/10.1504/IJEB.2018.098130.
Salloum, S. A. S., & Shaalan, K. (2018). Investigating students’ acceptance of E-learning system in Higher Educational Environments in the UAE: Applying the Extended Technology Acceptance Model (TAM). The British University in Dubai. http://bspace.buid.ac.ae/handle/1234/1150.
Simonson, M. R., Maurer, M., Montag-Torardi, M., & Whitaker, M. (1987). Development of a Standardized Test of Computer Literacy and a Computer Anxiety Index. Journal of Educational Computing Research, 3(2), 231–247. https://doi.org/10.2190/7CHY-5CM0-4D00-6JCG.
Sohail, M. S., & Shanmugham, B. (2003). E-banking and customer preferences in Malaysia: An empirical investigation. Information Sciences, 150, 207–217. https://doi.org/10.1016/S0020-0255(02)00378-X.
Suryawirawan, O. A. (2019). Perceived Ease of Use dan Perceived Usefulness terhadap E-Commerce Intention melalui Aplikasi Online Shop pada Mahasiswa di Surabaya. Jurnal MEBIS (Manajemen Dan Bisnis), 4(1), 1–8. https://doi.org/10.33005/mebis.v4i1.46.
Suryawirawan, O. A. (2020). Theory of Planned Behavior Approach and Gender Differences on Students’ Intention to Practice Online Business. Jurnal Dinamika Manajemen, 10, 138–147. https://doi.org/10.15294/jdm.v10i2.19398.
Syarifudin, G., Abbas, B. S., & Heriyati, P. (2018). TAM approach on E-commerce of aircraft ticket sales on consumer purchase intention. 2018 6th International Conference on Cyber and IT Service Management (CITSM), 1–6. https://doi.org/10.1109/citsm.2018.8674357.
Thakkar, S. R., & Joshi, H. D. (2018). Impact of technology availability and self-efficacy on e-learning usage. International Journal for Research in Applied Science & Engineering Technology, 6(4), 2956-2960. https://doi.org/10.22214/ijraset.2018.4492
Tsang, K. K. (2012). The use of midpoint on Likert Scale: The implication for educational research. Hong Kong Teachers’ Centre Journal, 11, 121–130. https://www.researchgate.net/profile/Kwok-Kuen-Tsang/publication/283429299_The_use_of_midpoint_on_Likert_Scale_The_implication_for_educational_research/links/575a3d8408ae414b8e440f08/The-use-of-midpoint-on-Likert-Scale-The-implication-for-educational-research.pdf.
Yadav, R., Sharma, S. K., & Tarhini, A. (2016). A multi-analytical approach to understand and predict the mobile commerce adoption. Journal of enterprise information management, 29(2), 222-237. https://doi.org/10.1108/JEIM-04-2015-0034
Yusuf, A. S., Busalim, A. H., & Hussin, A. R. C. (2018). Influence of e-WOM engagement on consumer purchase intention in social commerce. Journal of Service Marketing, 32(4), 493-504. https://doi.org/10.1108/JSM-01-2017-0031.
Zhao, S., Fang, Y., Zhang, W., & Jiang, H. (2020). Trust, Perceived Benefit, and Purchase Intention in C2C E-Commerce: An Empirical Examination in China. Journal of Global Information Management (JGIM), 28(1), 121–141. https://doi.org/10.4018/978-1-7998-8957-1.ch068.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 BISMA (Bisnis dan Manajemen)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright Notice.
The copyright of the received article once accepted for publication shall be assigned to the journal as the publisher of the journal. The intended copyright includes the right to publish the article in various forms (including reprints). The journal maintains the publishing rights to the published articles.
Abstract views: 796
,
PDF Downloads: 779
