Adoption of ChatGPT in Organizations: Technology Affordance and Constraints Theory Perspective

Summary

This study examines what drives knowledge workers to intend to adopt ChatGPT at work. Drawing on technology affordance and constraints theory, focus groups, and a survey, the authors identify three affordances (automatability, information quality, and productivity) and two constraints (perceived risk and lack of regulation). The affordances raise perceived effectiveness, while lack of regulation increases discomfort. Personal innovativeness strengthens the link between effectiveness and adoption intention and weakens the effect of discomfort.

Related items

• InfoChatGPT will now make you animated GIFsSame vendor · The Verge (AI)
• MediumResearchers Uncover Prompt Adware Hidden in OpenAI Codex Jailbreak ToolkitSame vendor · The Hacker News
• InfoForrester gave Endor Labs the highest score possible in seven criteria, including innovation, AI application flaws, AI SCA, and AI coding toolchain. | Endor LabsSame vendor · Endor Labs Blog
• InfoUber only fulfilled 4 rides from AI agents last quarterSame vendor · The Verge (AI)
• InfoSam Altman addresses RAM comments: People should ‘put as much as they want in their computers’Same vendor · The Verge (AI)