Enlisting Citizen Developers to Deliver Digital Business Value With Generative AI & Low-Code Development Platforms

Authors

  • Erik Krogh Pepperdine University
  • Mark W.S. Chun Pepperdine University

Keywords:

business, economics, citizen developers, low-code development platform, generative AI, LCDP, end-user computing, end-user development, shadow IT

Abstract

Enterprise IT organizations face a chronic undersupply of trained programming professionals leading to an application supply-demand disequilibrium. To address this unmet need, Generative AI (GenAI) and Low-Code Development Platforms (LCDP) are maturing and making application development by non-professional programmers a viable possibility. Using GenAI and LCDPs, “Citizen Developers” can rapidly develop and deploy applications to deliver business functionality using IT-sanctioned platforms. However, several issues need to be considered before Citizen Developers can safely produce usable applications. GenAI as an application development platform is a recent phenomenon with limited experiential data as to its viability: therefore, our paper presents a case study of the five-year journey that one enterprise took to implement a LCDP, recounting the successes and challenges in adopting the platform.

References

Agarwal, R., Prasad, J., Tanniru, M., & Lynch, J. (2000). Risks of rapid application development. Communications of the ACM, 43(11).

Brancheau, J.C., & Brown, C.V. (1993). The management of end-user computing: Status and direction. ACM Computing Surveys (CSUR), 25(4), 437–482.

Davenport, T.H., Barkin, I., & Tomak, K. (2023). We’re all programmers now. Harvard Business Review, 101(5), 98–107.

Dimensional Research. (n.d.). Digital Disconnect: A Study of Business and IT Alignment in 2019.

Gartner. (n.d.). Top 10 security predictions for 2016. Retrieved from https://www.gartner.com/smarterwithgartner/top-10-security-predictions-2016/

Griffy-Brown, C., Chun, M., & Lazarikos. (2019). Emerging Technologies and Cyber Risk: How do we secure the Internet of Things (IoT) environment? Journal of Applied Business and Economics, 21(2).

Harris, J., Ives, B., & Junglas, I. (2012). IT Consumerization: When Gadgets Turn Into Enterprise IT Tools. MIS Quarterly Executive, 11(3), 99–112.

Havakhor, T., Sabherwal, S., Sabherwal, R., & Steelman, Z. (2022, June). Evaluating Information Technology Investments: Insights From Executive’s Trades. MIS Quarterly, 46(2), 1165–1193.

Leavitt, H.J. (1965). Applied Organizational Change in Industry. Handbook of Organizations, Chapter 27. (Chicago: Rand McNally, 1965).

Negro, A.R., & Mesia, R. (2022). The Business Intelligence and Its Influence on Decision Making. Journal of Applied Business and Economics, 22(2).

Nelson, R. (2007, June). IT Project Management: Infamous Failures, Classic Mistakes and Best Practices. MIS Quarterly Executive, 6(2).

Sullivan, Y.W., Davis, F., & Kohn, C.E. (2022, June). Executive Functions and Information Systems Learning. MIS Quarterly, 46(2), 813–880.

Rockart, F., & Flannery, L.S. (1983). The management of end user computing. Communications of the ACM, 26(10), 776–784.

Rockart, F., & Morton, M.S. (1984). CISR. MIT Sloan School of Management.

Wong Survey Analysis. (2018, September). Citizen Development Is Happening and IT Needs to Be More Engaged. Gartner Group.

Wong, J., & Davis, K. (2022, July). Harness the Disruptive Powers of Low-Code: A Gartner Trend Insight Report. Gartner Group.

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Published

2025-02-23

How to Cite

Krogh, E., & Chun, M. W. (2025). Enlisting Citizen Developers to Deliver Digital Business Value With Generative AI & Low-Code Development Platforms . Journal of Applied Business and Economics, 27(1). Retrieved from https://articlearchives.co/index.php/JABE/article/view/7282

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Articles