Abstract
With the rapid growth of digitalization and competition in every sector, it is important to go through a career choice process in a specific order for achieving a good career decision. As the building blocks of career choice start from choosing the career-specific course, it is important for individuals to choose the course wisely for enhancing the career path. With digitalization and the number of online courses available, it becomes really tough to differentiate a relevant career-focused course from a mediocre one. Additionally, as social media platforms of social interaction, communication, and marketing are growing, increasing numbers of educational businesses have already integrated or plan to integrate social media applications into their marketing plans to reach and attract future students, thus showing a shift from traditional ways of marketing. It is important for firms to keep track of the latest demand of consumers to stay ahead of the competition and provide value-laden career-specific courses. This chapter builds a conceptual model for exploring the factors affecting the choice of technical online courses related to career choices with the notion that the concepts of psychology, marketing, and technology if forged together can help to improve the rate of adoption of technology and in turn educational marketing.
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References
Agarwala, T. (2008). Factors influencing career choice of management students in India. Career Development International, 13(4), 362–376.
AlAlwan, A., Rana, N. P., Dwivedi, Y. K., & Algharabat, R. (2017). Social media in marketing: A review and analysis of the existing literature. Telematics and Informatics, 34(7), 1177–1190.
Bandura, A. (1986). Fearful expectations and avoidant actions as co-effects of perceived self-inefficacy. American Psychologist, 41(12), 1389–1391.
Barbara, G. (1991). Career choices of older graduates. International Journal of Manpower, 12(5), 27–38.
Belanger, F., & Carter, L. (2008). Trust and risk in e-government adoption. The Journal of Strategic Information Systems, 17(2), 165–176.
Beynon, J., Toohey, K., & Kishor, N. (1998). Do visible minority students of Chinese and South Asian ancestry want teaching as a career?: Perceptions of some secondary school students in Vancouver. B.C. Canadian Ethnic Studies, 30(2), 50–73.
Bordin, E. S., Nachmann, B., & Segal, S. J. (1963). An articulated framework for vocational development. Journal of Counseling Psychology, 10, 107–116.
Brewer, J. M. (1942). History of vocational guidance: Origins of early development. New York: HarperCollins.
Brown, D. (2002). The role of work and cultural values in occupational choice, satisfaction and success: A theoretical statement. Journal of Counseling and Development, 80, 48–56.
Carpenter, C. G., & Strawser, R. H. (1977). Job selection preferences of accounting students. Educational Research and Perspectives, 4(1), 23–33.
Constantinides, E., & Stagno, M. C. Z. (2011). Potential of the social media as instruments of higher education marketing: A segmentation study. Journal of Marketing for Higher Education, 21(1), 7–24.
Curran, J. M., & Meuter, M. L. (2005). Self-service technology adoption: Comparing three technologies. Journal of Services Marketing, 19(2), 103–113.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
Dawis, R. V. (2005). The Minnesota theory of work adjustment. Career development and counseling: Putting theory and research to work. Hoboken, NJ: John Wiley & Sons Inc.
Dawis, R. V., & Lofquist, L. (1984). A psychological theory of work adjustment. Minneapolis: University of Minnesota.
Dickinger, A., Arami, M., & Meyer, D. (2008). The role of perceived enjoyment and social norm in the adoption of technology with network externalities. European Journal of Information Systems, 17(1), 4–11.
Dwivedi, Y. K., Kapoor, K. K., & Chen, H. (2015). Social media marketing and advertising. The Marketing Review, 15(3), 289–309.
Esbroeck, R. V., Tibos, K., & Zaman, M. (2005). A dynamic model of career choice development. International Journal of Education Vocational Guidance, 5(1), 5–18.
Ginzberg, E. (1972). Toward a theory of occupational choice: A restatement. Vocational Guidance Quarterly, 20, 169–176.
Ginzberg, E., Ginzberg, S., Axelrad, S., & Herma, J. (1951). Occupational choice: An approach to a general theory. New York: Columbia University Press.
Gottfredson, L. (1981). Circumscription and compromise. Journal of Counseling Psychology, 28, 545–579.
Gutierrez, A., O’Leary, S., Rana, N. P., Dwivedi, Y. K., & Calle, T. (2018). Using privacy calculus theory to explore entrepreneurial directions in mobile location-based advertising: Identifying intrusiveness as the critical risk factor. Computers in Human Behavior.
Hirschheim, R. (2008). Introduction to the special issue on “Quo Vadis TAM—issues and reflections on technology acceptance research”. Journal of the Association for Information Systems, 8(4), 9.
Holland, J. L. (1997). Making vocational choices: A theory of vocational personalities and work environments. Odessa, FL: Psychological Assessment Resources.
Iacovou, C. L., Benbasat, I., & Dexter, A. S. (1995). Electronic data interchange and small organizations: Adoption and impact of technology. MIS Quarterly, 19(4), 465–485.
Kapoor, K. K., Tamilmani, K., Rana, N. P., Patil, P., Dwivedi, Y. K., & Nerur, S. (2018). Advances in social media research: Past, present and future. Information Systems Frontiers, 20(3), 531–558.
Kazi, A. S., & Akhlaq, A. (2017). Factors affecting students’ career choice. Journal of Research and Reflections in Education, 2, 187–196.
Kelly, G. A. (1955). The psychology of personal constructs. New York: W.W. Norton.
Krumboltz, J. D. (1979). A social learning theory of career decision-making. Social learning and career decision making. Cranston, RI: Carroll Press.
Krumboltz, J. D., Mitchell, A. M., & Brian, J. G. (1976). A social learning theory of career selection. The Counseling Psychologist, 6(1), 71–81.
Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130–141.
Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1), 79–122.
Leung, Y. (2013). Perceived benefits. Encyclopedia of Behavioral Medicine, 94–136.
Lofquist, L. H., & Dawis, R. V. (1969). Adjustment to work. East Norwich, CT: Appleton-Century-Crofts.
Lofquist, L. H., & Dawis, R. (1978). Values as second-order needs in the theory of work adjustment. Journal of Vocational Behavior, 12(1), 12–19.
Oliveira, T., & Martins, M. F. (2011). Literature review of information technology adoption models at firm level. The Electronic Journal Information Systems Evaluation, 14(1), 110–121.
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). Servqual: A multiple-item scale for measuring consumer perceptions. Journal of Retailing, 64(1), 12–40.
Parsons, F. (1909). Choosing a vocation. Boston: Houghton Mifflin.
Peterson, G. W., Sampson, J. P., & Reardon, R. C. (1991). Career development and services: A cognitive approach. Pacific Grove, CA: Brooks/Cole.
Ray, A., Bala, P. K., & Dasgupta, S. A. (2019). Role of authenticity and perceived benefits of online courses on technology based career choice in India: A modified technology adoption model based on career theory. International Journal of Information Management, 47, 140–151.
Rogers, C. R. (1942). Counseling and psychotherapy. Boston: Houghton Mifflin.
Rogers, C. R. (1951). Client centered therapy. Boston: Houghton Mifflin.
Schreuder, A. G. M., & Coetzee, M. (2006).Careers: An organizational perspective. Juta Academic. Juta & Co. Ltd. Lansdowne.
Schwarz, A., & Chin, W. (2007). Looking forward: Toward an understanding of the nature and definition of IT acceptance. Journal of the Association for Information Systems, 8(4), 4.
Shareef, M. A., Dwivedi, Y. K., Kumar, V., & Kumar, U. (2017). Content design of advertisement for consumer exposure: Mobile marketing through short messaging service. International Journal of Information Management, 37(4), 257–268.
Shareef, M. A., Mukerji, B., Alryalat, M. A. A., Wright, A., & Dwivedi, Y. K. (2018). Advertisements on Facebook: Identifying the persuasive elements in the development of positive attitudes in consumers. Journal of Retailing and Consumer Services, 43, 258–268.
Shareef, M. A., Mukerji, B., Dwivedi, Y. K., Rana, N. P., & Islam, R. (2019). Social media marketing: Comparative effect of advertisement sources. Journal of Retailing and Consumer Services, 46, 58–69.
Super, D. E. (1953). A theory of vocational development. American Psychologist, 30, 88–92.
Super, D. E. (1980). A life-span, life-space approach to career development. Career choice and development: Applying contemporary theories to practice. San Francisco, CA: Jossey-Bass.
Super, D. E. (1990). A life-span, life space approach to career development. Career choice and Development. San Francisco: Jossey-Bass.
Tang, M., Fouad, N. A., & Smith, P. L. (1999). Asian Americans’ career choices: A path model to examine factors influencing their career choices. Journal of Vocational Behavior, 54(1), 142–157.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
Venkatesh, V., Davis, F., & Morris, M. G. (2008). Dead or alive? The development, trajectory and future of technology adoption research. Journal of the Association for Information Systems, 8(4), 1.
Williams, M. D., Dwivedi, Y. K., Lal, B., & Schwarz, A. (2009). Contemporary trends and issues in IT adoption and diffusion research. Journal of Information Technology, 24(1), 1–10.
Zeng, B., & Gerritsen, R. (2014). What do we know about social media in tourism? A review. Tour. Management Perspectives, 10, 27–36.
Zytowski, D. G. (1972). Four hundred years before Parsons. Personnel and Guidance Journal, 50, 443–450.
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Ray, A., Bala, P.K., Dasgupta, S.A. (2020). Psychological Analytics Based Technology Adoption Model for Effective Educational Marketing. In: Rana, N.P., et al. Digital and Social Media Marketing. Advances in Theory and Practice of Emerging Markets. Springer, Cham. https://doi.org/10.1007/978-3-030-24374-6_12
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