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Psychological Analytics Based Technology Adoption Model for Effective Educational Marketing

  • Arghya Ray
  • Pradip Kumar Bala
  • Shilpee A. Dasgupta
Chapter
Part of the Advances in Theory and Practice of Emerging Markets book series (ATPEM)

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.

Keywords

Adoption of online courses Educational marketing Psychological analytics Social cognitive career theory Technology adoption model 

References

  1. Agarwala, T. (2008). Factors influencing career choice of management students in India. Career Development International, 13(4), 362–376.CrossRefGoogle Scholar
  2. 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.Google Scholar
  3. Bandura, A. (1986). Fearful expectations and avoidant actions as co-effects of perceived self-inefficacy. American Psychologist, 41(12), 1389–1391.CrossRefGoogle Scholar
  4. Barbara, G. (1991). Career choices of older graduates. International Journal of Manpower, 12(5), 27–38.CrossRefGoogle Scholar
  5. Belanger, F., & Carter, L. (2008). Trust and risk in e-government adoption. The Journal of Strategic Information Systems, 17(2), 165–176.CrossRefGoogle Scholar
  6. 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.Google Scholar
  7. Bordin, E. S., Nachmann, B., & Segal, S. J. (1963). An articulated framework for vocational development. Journal of Counseling Psychology, 10, 107–116.CrossRefGoogle Scholar
  8. Brewer, J. M. (1942). History of vocational guidance: Origins of early development. New York: HarperCollins.CrossRefGoogle Scholar
  9. 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.CrossRefGoogle Scholar
  10. Carpenter, C. G., & Strawser, R. H. (1977). Job selection preferences of accounting students. Educational Research and Perspectives, 4(1), 23–33.Google Scholar
  11. 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.CrossRefGoogle Scholar
  12. Curran, J. M., & Meuter, M. L. (2005). Self-service technology adoption: Comparing three technologies. Journal of Services Marketing, 19(2), 103–113.CrossRefGoogle Scholar
  13. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.CrossRefGoogle Scholar
  14. 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.Google Scholar
  15. Dawis, R. V., & Lofquist, L. (1984). A psychological theory of work adjustment. Minneapolis: University of Minnesota.Google Scholar
  16. 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.CrossRefGoogle Scholar
  17. Dwivedi, Y. K., Kapoor, K. K., & Chen, H. (2015). Social media marketing and advertising. The Marketing Review, 15(3), 289–309.CrossRefGoogle Scholar
  18. 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.CrossRefGoogle Scholar
  19. Ginzberg, E. (1972). Toward a theory of occupational choice: A restatement. Vocational Guidance Quarterly, 20, 169–176.CrossRefGoogle Scholar
  20. Ginzberg, E., Ginzberg, S., Axelrad, S., & Herma, J. (1951). Occupational choice: An approach to a general theory. New York: Columbia University Press.Google Scholar
  21. Gottfredson, L. (1981). Circumscription and compromise. Journal of Counseling Psychology, 28, 545–579.CrossRefGoogle Scholar
  22. 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.Google Scholar
  23. 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.Google Scholar
  24. Holland, J. L. (1997). Making vocational choices: A theory of vocational personalities and work environments. Odessa, FL: Psychological Assessment Resources.Google Scholar
  25. 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.CrossRefGoogle Scholar
  26. 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.Google Scholar
  27. Kazi, A. S., & Akhlaq, A. (2017). Factors affecting students’ career choice. Journal of Research and Reflections in Education, 2, 187–196.Google Scholar
  28. Kelly, G. A. (1955). The psychology of personal constructs. New York: W.W. Norton.Google Scholar
  29. Krumboltz, J. D. (1979). A social learning theory of career decision-making. Social learning and career decision making. Cranston, RI: Carroll Press.Google Scholar
  30. Krumboltz, J. D., Mitchell, A. M., & Brian, J. G. (1976). A social learning theory of career selection. The Counseling Psychologist, 6(1), 71–81.CrossRefGoogle Scholar
  31. 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.CrossRefGoogle Scholar
  32. 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.CrossRefGoogle Scholar
  33. Leung, Y. (2013). Perceived benefits. Encyclopedia of Behavioral Medicine, 94–136.Google Scholar
  34. Lofquist, L. H., & Dawis, R. V. (1969). Adjustment to work. East Norwich, CT: Appleton-Century-Crofts.Google Scholar
  35. 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.CrossRefGoogle Scholar
  36. 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.Google Scholar
  37. 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.Google Scholar
  38. Parsons, F. (1909). Choosing a vocation. Boston: Houghton Mifflin.Google Scholar
  39. Peterson, G. W., Sampson, J. P., & Reardon, R. C. (1991). Career development and services: A cognitive approach. Pacific Grove, CA: Brooks/Cole.Google Scholar
  40. 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 Management47, 140–151.Google Scholar
  41. Rogers, C. R. (1942). Counseling and psychotherapy. Boston: Houghton Mifflin.Google Scholar
  42. Rogers, C. R. (1951). Client centered therapy. Boston: Houghton Mifflin.Google Scholar
  43. Schreuder, A. G. M., & Coetzee, M. (2006). Careers: An organizational perspective. Juta Academic. Juta & Co. Ltd. Lansdowne.Google Scholar
  44. 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.CrossRefGoogle Scholar
  45. 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.CrossRefGoogle Scholar
  46. 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.CrossRefGoogle Scholar
  47. 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.CrossRefGoogle Scholar
  48. Super, D. E. (1953). A theory of vocational development. American Psychologist, 30, 88–92.Google Scholar
  49. 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.Google Scholar
  50. Super, D. E. (1990). A life-span, life space approach to career development. Career choice and Development. San Francisco: Jossey-Bass.Google Scholar
  51. 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.CrossRefGoogle Scholar
  52. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.CrossRefGoogle Scholar
  53. 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.CrossRefGoogle Scholar
  54. 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.Google Scholar
  55. 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.CrossRefGoogle Scholar
  56. Zeng, B., & Gerritsen, R. (2014). What do we know about social media in tourism? A review. Tour. Management Perspectives, 10, 27–36.CrossRefGoogle Scholar
  57. Zytowski, D. G. (1972). Four hundred years before Parsons. Personnel and Guidance Journal, 50, 443–450.CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Arghya Ray
    • 1
  • Pradip Kumar Bala
    • 1
  • Shilpee A. Dasgupta
    • 1
  1. 1.Indian Institute of Management RanchiRanchiIndia

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