Attitudes towards artificial intelligence at work: Scale development and validation.
Saved in:
| Title: | Attitudes towards artificial intelligence at work: Scale development and validation. |
|---|---|
| Authors: | Park, Jiyoung, Woo, Sang Eun, Kim, JeongJin |
| Source: | Journal of Occupational & Organizational Psychology. Sep2024, Vol. 97 Issue 3, p920-951. 32p. |
| Subjects: | Multitrait multimethod techniques, Job security, Research funding, Work environment, Artificial intelligence, Research methodology evaluation, Anxiety, Experimental design, Job satisfaction, Research methodology, Psychometrics, Job stress, Employee recruitment, Employee attitudes |
| Abstract: | Research suggests that understanding workers' attitudes towards artificial intelligence (AI) application is a prerequisite to successfully integrating AI into an organization. However, few studies have clarified the meaning of attitudes towards AI application at work (AAAW) as a multifaceted construct that can be assessed with psychometric validity. To address this issue, we developed and validated a scale to capture individuals' AAAW using three independent samples (total N = 2841). The resulting 25‐item scale covers an overall construct of AAAW as well as six dimensions that are subsumed under the construct (i.e., perceived humanlikeness, perceived adaptability, perceived quality of AI, AI use anxiety, job insecurity and personal utility). Our findings suggest that the AAAW scale has good psychometric properties and can be used to predict important recruiting outcomes. The scale offers opportunities to better understand and measure workers' attitudes towards AI application at work in a comprehensive and integrative manner. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Occupational & Organizational Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
|
Full text is not displayed to guests.
Login for full access.
|
|
| Abstract: | Research suggests that understanding workers' attitudes towards artificial intelligence (AI) application is a prerequisite to successfully integrating AI into an organization. However, few studies have clarified the meaning of attitudes towards AI application at work (AAAW) as a multifaceted construct that can be assessed with psychometric validity. To address this issue, we developed and validated a scale to capture individuals' AAAW using three independent samples (total N = 2841). The resulting 25‐item scale covers an overall construct of AAAW as well as six dimensions that are subsumed under the construct (i.e., perceived humanlikeness, perceived adaptability, perceived quality of AI, AI use anxiety, job insecurity and personal utility). Our findings suggest that the AAAW scale has good psychometric properties and can be used to predict important recruiting outcomes. The scale offers opportunities to better understand and measure workers' attitudes towards AI application at work in a comprehensive and integrative manner. [ABSTRACT FROM AUTHOR] |
|---|---|
| ISSN: | 09631798 |
| DOI: | 10.1111/joop.12502 |
