首页|Studies from Southwestern University of Finance and Economics Further Understanding of Artificial Intelligence (Facilitation or Hindrance: the Contingent Effect of Organizational Artificial Intelligence Adoption On Proactive Career Behavior)
Studies from Southwestern University of Finance and Economics Further Understanding of Artificial Intelligence (Facilitation or Hindrance: the Contingent Effect of Organizational Artificial Intelligence Adoption On Proactive Career Behavior)
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NETL
NSTL
Elsevier
Fresh data on Artificial Intelligence are presented in a new report. According to news originating from Chengdu, People's Republic of China, by NewsRx correspondents, research stated, "The advent of Artificial intelligence (AI) technology is catalyzing significant transformations in human work dynamics. Nonetheless, there exists no unanimous consensus among researchers regarding whether organizational AI adoption has a favorable or unfavorable impact on employees' career development." Funders for this research include National Natural Science Foundation of China (NSFC), MOE (Ministry of Education in China) Project of Humanities and Social Sciences, China, Fundamental Research Funds for the Central Universities. Our news journalists obtained a quote from the research from the Southwestern University of Finance and Economics, "Building upon social cognitive theory, we explores the underlying mechanism through which organizational AI adoption in-fluences employees' proactive career behavior. A three-wave timelagged survey involving 348 employees from three hotels and five advanced manufacturing enterprises in Chengdu, China, was conducted. The findings revealed that organizational AI adoption led to a reduction in employees' self-perceived employability. The prominence of an employee's future work self-salience was found to be a determining factor in how their self-perceived employability influenced proactive career behaviors. Specifically, this impact manifested negative for employees exhibiting high levels of future work self-salience, while it appears positive for those with low levels. Finally, this study confirmed the moderating role of future work self-salience in the indirect impact of organizational AI adoption on proactive career behavior through self-perceived employability."
ChengduPeople's Republic of ChinaAsiaArtificial IntelligenceEmerging TechnologiesMachine LearningSouthwestern University of Finance and Economics
NETL
NSTL
Elsevier
