Examining the Double-Edged Sword Effect of AI Usage on Work Engagement: The Moderating Role of Core Task Characteristics Substitution

被引:1
作者
Liu, Xuan [1 ]
Li, Yuxuan [1 ]
机构
[1] Nanjing Tech Univ, Sch Econ & Management, Nanjing 211816, Peoples R China
关键词
artificial intelligence usage; work engagement; core task characteristics substitution; double-edged sword effect test; ARTIFICIAL-INTELLIGENCE; PSYCHOLOGICAL CONDITIONS; KNOWLEDGE WORK; MEDIATING ROLE; RESOURCES; WORKPLACE; CONSERVATION; PERFORMANCE; ALIENATION; IMPACT;
D O I
10.3390/bs15020206
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
As the application of artificial intelligence (AI) in the workplace increases, investigating its impact on work engagement is crucial for optimizing human resource management and enhancing organizational productivity and competitiveness. Based on the Conservation of Resources theory, this study investigated whether AI usage exhibits a double-edged sword effect on work engagement and examined the moderating role of core task characteristics substitution in this relationship. A two-wave study was conducted among 279 employees from China, and Hayes's PROCESS macro was used to test the moderated mediation model. The findings indicated that (1) AI usage enhances work engagement by increasing psychological availability and indirectly increases work engagement by suppressing work alienation; (2) core task characteristics substitution diminishes the enhancing effect of AI usage on psychological availability and the inhibiting effect of AI usage on work alienation; and (3) overall, AI usage tends to suppress work alienation, demonstrating an empowering effect. However, under conditions of high core task characteristics substitution, AI usage can increase work alienation, revealing potential negative effects. The findings enrich our understanding of the complex impact of AI usage on work engagement and offer valuable insights for managers to improve employee experiences in the AI era.
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页数:24
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共 119 条
[1]  
Abboushi S., 1990, International Studies of Management and Organization, V20, P53, DOI DOI 10.1080/00208825.1990.11656536
[2]   Robots and Jobs: Evidence from US Labor Markets [J].
Acemoglu, Daron ;
Restrepo, Pascual .
JOURNAL OF POLITICAL ECONOMY, 2020, 128 (06) :2188-2244
[3]  
Aiken LS., 1991, Multiple Regression: Testing and Interpreting Interactions
[4]  
Arntz M., 2016, OECD Soc. Employ. Migr. Work. Pap, V189, P1, DOI [10.1787/5jlz9h56dvq7-en, DOI 10.1787/5JLZ9H56DVQ7-EN]
[5]   The skill content of recent technological change: An empirical exploration [J].
Autor, DH ;
Levy, F ;
Murnane, RJ .
QUARTERLY JOURNAL OF ECONOMICS, 2003, 118 (04) :1279-1333
[6]  
Bailey D., 2019, Organization Science, V30, P642, DOI DOI 10.1287/ORSC.2019.1299
[7]  
Banai M., 2004, J. Int. Manag, V10, P375
[8]   The Ethical Implications of Artificial Intelligence (AI) For Meaningful Work [J].
Bankins, Sarah ;
Formosa, Paul .
JOURNAL OF BUSINESS ETHICS, 2023, 185 (04) :725-740
[9]   AI Decision Making with Dignity? Contrasting Workers' Justice Perceptions of Human and AI Decision Making in a Human Resource Management Context [J].
Bankins, Sarah ;
Formosa, Paul ;
Griep, Yannick ;
Richards, Deborah .
INFORMATION SYSTEMS FRONTIERS, 2022, 24 (03) :857-875
[10]   Face-to-Face Communication in Organizations [J].
Battiston, Diego ;
Vidal, Jordi Blanes, I ;
Kirchmaier, Tom .
REVIEW OF ECONOMIC STUDIES, 2021, 88 (02) :574-609