Work

Examining the Diffusion of Innovations from a Dynamic, Differential-Effects Perspective: A Longitudinal Study on AI Adoption Among Employees

Year: 2023

Type: article

Abstract: This study extends the diffusion of innovations theory by considering the threat of technology and examining the adoption of artificial intelligence (AI) in the workplace over time from a dynamic, differential-effects perspective. Findings from a three-wave survey study reveal an association between the threat of AI (i.e., job security concerns) and increasingly negative attitudes toward AI adoption among employees over time. Relative advantage, compatibility, and observability correlated with more positive attitudes, whereas ease of use and trialability showed no significant association. In testing the differential effects on attitudes toward AI adoption among different groups of potential adopters, we found that trialability positively influenced attitudes only among employees who held a positive attitude previously. Observability and the threat of AI, however, were more influential among employees who held a negative attitude previously. Theoretical and practical implications were discussed.

Source: Communication Research

DOI: 10.1177/00936502231191832

Authors: Shan Xu, Kerk F. Kee, Wenbo Li, Masahiro Yamamoto, Rachel E. Riggs

Institutions: Texas Tech University, Stony Brook University, University at Albany, State University of New York, University of North Florida

Language: English

Topic: Technology Adoption and User Behaviour

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

Open Access status: bronze

OpenAlex ID: W4385875581

FWCI: 18.52

Cites: 45

Cited by: 72

Related to: 10