Research priorities for understanding GenAI adoption: the convenience inversion framework

Rahul Kumar

Chapter 5 in A Research Agenda for Artificial Intelligence and Academic Integrity, 2026, pp 61-77 from Edward Elgar Publishing

Abstract: This chapter examines asymmetry between student and faculty adoption rates of GenAI through a three-dimensional framework that conceptualizes GenAI adoption through normative stance (ban ↔ embrace), knowledge level (novice ↔ expert), and convenience of use (effortful ↔ effortless). The convenience inversion principle demonstrates that identical technologies can occupy diametrically opposite positions on the convenience axis for different stakeholder groups within the same institutional context. Students experience GenAI as predominantly convenient due to immediate efficiency gains, minimal learning requirements, and alignment with their evaluative capabilities. Faculty experience GenAI integration as predominantly inconvenient due to the complex demands of implementation, quality assessment, and adaptation. This principle challenges conventional explanations based on generational differences or technological sophistication, revealing that adoption asymmetries reflect systematic structural differences rather than temporary barriers. The framework provides both an analytical tool for understanding current adoption patterns and a foundation for developing contextually appropriate technology integration strategies.

Keywords: GenAI; AI; Technology adoption; Convenience inversion; Higher education; Academic integrity (search for similar items in EconPapers)
Date: 2026
ISBN: 9781035343638
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.elgaronline.com/doi/10.4337/9781035343645.00013 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 403 Forbidden

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:23795_5

Ordering information: This item can be ordered from
http://www.e-elgar.com

Access Statistics for this chapter

More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Jack Sweeney ().