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Perception Gaps between IT Managers and Developers on Generative AI Coding: A Co-orientation Approach

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2026, 31(2), pp.97~110
  • DOI : 10.9708/jksci.2026.31.02.097
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : December 19, 2025
  • Accepted : January 26, 2026
  • Published : February 27, 2026

Miyoung Bang 1 Sungkap Park 1 Hanjin Lee ORD ID 2 Dongsu Lee 3

1고려대학교
2한동대학교
3가천대학교

Accredited

ABSTRACT

This study analyzes perception gaps between IT managers and developers regarding the adoption of generative AI coding tools in the Korean context using the co-orientation model. Key issues were derived from in-depth interviews with 10 corporate employees, literature, and industry reports. Valid responses were collected from surveys of 462 IT managers and 462 developers (total 924 valid samples). Measurement variables were refined into five core factors: productivity improvement, job instability, legal and ethical issues, output quality, and organizational support. Results show that IT managers held more positive views on productivity improvement, output quality, and organizational support compared to developers, who were more sensitive to legal/ethical issues. Co-orientation indices revealed low levels of objective/subjective agreement and accuracy across most domains, indicating mutual misunderstandings. These findings imply that systematic organizational adoption of generative AI coding requires designs aligned with the developmental culture to mitigate perception discrepancies and enhance utilization.

Citation status

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