Perception of Youths toward the E-Commerce Profession in Indonesia

Yanuar E. Restianto, Suliyanto Suliyanto, Adi Indrayanto, Lina Rifda Naufalin, Aldila Dinanti


The development of technology and digital technology is a driving factor for the existence of various e-commerce and start-ups in Indonesia. Youths who tend to be technology literate choose e-commerce as their career path. However, research to analyze the perception of  youths toward profession in e-commerce field is still limited. This study aimed to analyze the perception of youths towards the profession in e-commerce field and analyze the factors which drive the youths in choosing such profession. Respondents in this study were 120 youths, data analysis used descriptive statistics and non-parametric statistical analysis with binomial test. Based on the results of the analysis, youths perceived the profession in e-commerce field as a business. This kind of proffesion needed Information Technology skills, needed communication skills, required persistence and accuracy, had wide market reach, had suitability for youths, could be done part time, had high flexibility, had high income, did not need strategic location, had clear career path, had fixed income, and had high safety level or had low risk of accident. The reasons that could encourage youths to choose career in e-commerce field were it had wide marker reach, it was easy to deliver information, it could be done part time, it had high flexibility, it had high income but low capital.


Keywords: Profession Perception; Youths; E-Commerce

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Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly, 16(2), 227-247

Adzharuddin, N. A., & Ling, L. H. (2013). Learning management system (LMS) among university students: Does it work. International Journal of e-Education, e-Business, e-Management and e-learning, 3(3), 248-252.

Ahn, T., Ryu, S., & Han, I. (2004). The impact of the online and offline features on the user acceptance of Internet shopping malls. Electronic Commerce Research and Applications, 3(4), 405-420

Alias, N. A., & Zainuddin, A. M. (2005). Innovation for better teaching and learning: Adopting the learning management system. Malaysian online journal of instructional technology, 2(2), 27-40.

Ana-Maria, V., & Corina, C. (2014). Student's Perception on Career Opportunities. Procedia-Social and Behavioral Sciences, 117, 700-704.

Aydin, C. H., & Tasci, D. (2005). Measuring readiness for E-learning: reflections from an emerging country. Educational Technology & society, 8(4), 244–257.

Baeten, M., Kyndt, E., Struyven, K., & Dochy, F. (2010). Using student-centred learning environments to stimulate deep approaches to learning: factors encouraging or discouraging their effectiveness. Educational Research Review, 5(3), 243–260

Banihashem, K., Farokhi Tirandaz, S., Shahalizadeh, M., & Mashhadi, M. (2014). The effect of e-learning on students’ creativity. Interdisciplinary Journal of Virtual Learning in Medical Sciences, 5(4), 53-61.

Baum, David. (1999). Business Links. Oracle Magazine Vol. XIII.

Bibi, S., & Jati, H. (2015). The effectiveness of the blended learning model on the motivation and level of understanding of students in algorithms and programming courses. Jurnal Pendidikan Vokasi, 5(1), 74-87.

Castillo-Merino, D., & Serradell-López, E. (2014). An analysis of the determinants of students’ performance in e-learning. Computers in Human Behavior, 30, 476-484.

Ellis, Ryan, K 2009, A Field Guide to Learning Management System. American Society for Training and Development, Alexandria, USA

Franceschi, K., Lee, R. M., Zanakis, S. H., & Hinds, D. (2009). Engaging group E-learning in virtual worlds. Journal of Management Information Systems, 26(1), 73–100

Gilbert, & Jones, M. G. 2001. E-learning is e-normous. In Electric Perspectives (p. 26).

Gupta, A. (2014). E-Commerce: Role of E-Commerce in today’s business. International Journal of Computing and Corporate Research, 4(1), 1-8.

Hogo, M. A. (2010). Evaluation of E-learning systems based on fuzzy clustering models and statistical tools. Expert Systems with Applications, 37(10), 6891–6903

Hsu, M. H., & Chiu, C.M. (2004). A predicting electronic service continuance with a decomposed theory of planned behavior. Behaviour & Information Technology, 23(5)

Huang, M. (2010). The dynamic effect of the top management support and departmental manager knowledge on IT application maturity. Advanced Materials Research, 121–122, 769–774.

Jinling, Chang et all. 2009. Modeling E-Commerce Website Quality with Quality Function Deployment, IEEE International Conference on Deployment e-Business Engineering. 21-23 Oct. 2009

Jones, G. (2009) Youth, Polity Press, Cambridge

Julisar & Miranda, E. (2013). Pemakaian E-Commerce For Small and Medium Enterprises to Increase Competitiveness. ComTech, 4(2), hlm. : 638 – 645.

Keramati, A., Afshari-Mofrad, M., & Kamrani, A. (2011). The role of readiness factors in E-learning outcomes: An empirical study. Computers & Education, 57(3), 1919-1929.

Keshta, A. S., & Harb, I. I. (2013). The effectiveness of a blended learning program on developing Palestinian tenth graders' English writing skills. Education Journal, 2(6), 208-221.

Kiviniemi, M. T. (2014). Effects of a blended learning approach on student outcomes in a graduate-level public health course. BMC medical education, 14(1), 1-7.

Laudon, K. C., & Traver, C. G. (2013). E-commerce. Boston, MA: Pearson.

Locke, E. A., & Latham, G. P. (2006). New directions in goal-setting theory. Current directions in psychological science, 15(5), 265-268.

Melton, B., Bland, H., & Chopak-Foss, J. (2009). Improving health education using a hybrid model.

Pearson, M. (2008). Sistem Informasi Manajemen. Salemba. Jakarta, 9.

Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of marketing, 49(4), 41-50.

Piccoli, G., Ahmad, R., & Ives, B. (2001). Web-based virtual learning environments: a research framework and a preliminary assessment of effectiveness in basic IT skills training. MIS Quarterly, 25(4), 401–426

Robbins, S. (2007). P. dan Judge, Timothy. Organizational Behavior.

Quaddus, M. Jun Xu. 2008. Adoption of e-Commerce: A decision theoretic framework and an illustrative application.ICCIT 2008. 10th International Conference on Computer and Information Technology, 27-29 Dec. 2008

Rai, A., Lang, S. S., & Welker, R. B. (2002). Assessing the validity of IS success models: An empirical test and theoretical analysis. Information Systems Research, 13(1), 50-69

Rani, N. S. A., Suradi, Z. U. R. I. N. A. H., & Yusoff, N. H. (2014). An analysis of technology acceptance model, learning management system attributes, e-satisfaction, and e-retention. International Review of Management and Business Research, 3(4), 1984-1996.

Rosenberg, M. J. (2001). Marc Rosenberg. E-learning strategies for delivering knowledge in the digital age.

Rossen, E., & Hartley, D. (2001). Basics of e-learning (Vol. 109). American Society for Training and Development.

Rouibah, K., Abbas, H., & Rouibah, S. (2011). Factors affecting camera mobile phone adoption before e-shopping in the Arab world. Technology in Society, 33(3-4), 271-283.

Seddon, P. B., & Kiew, M. (1994). A partial test and development of DeLone and McLean’s model of IS success. Proceedings of the Fifteenth International Conference on Information Systems, Vancouver, Canada, 99-110

Selim, H. M. (2007). Critical success factors for E-learning acceptance: confirmatory factor models. Computers & Education, 49(2), 396–413.

Soong, B. M. H., Chan, H. C., Chua, B. C., & Loh, K. F. (2001). Critical success factors for on-line course resources. Computers & Education, 36(2), 101–120.

Suresh, M., Vishnu Priya, V., & Gayathri, R. (2018). Effect of e-learning on academic performance of undergraduate students. Drug Invention Today, 10(9).

Suliyanto, S. (2011, May). Differences in Views Likert scale as an Ordinal Scale or Interval scale. In Proceedings of the National Seminar on Statistics, Diponegoro University 2011 (pp. 51-60). Program Studi Statistika FMIPA Undip.

Suliyanto, S. (2014). Non-parametric statistics in research applications. Yogyakarta: ANDI.

Teo, T. S., Ranganathan, C., & Dhaliwal, J. (2006). Key dimensions of inhibitors for the deployment of web-based business-to-business electronic commerce. IEEE Transactions on engineering Management, 53(3), 395-411.

Traver & Laudon. (2014). E-commerce : Business, Technology, Society. Global Edition. Tenth Edition. Edinburgh Gate : Pearson Education.

Zhao, J., McConnell, D., & Jiang, Y. (2009). Teachers’ conceptions of E-learning in Chinese higher education: a phenomenographic analysis. Campus-Wide Information Systems, 26(2), 23–35.


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