Autonomous driving paper index
Predicting Employee Attitudes Toward Artificial Intelligence Technology: The Roles of Job Embeddedness & Grit on Military Veterans in the U.S. Workforce
One-line summary
Today, artificial intelligence (AI) technology demands are growing rapidly to aid organizations in innovation, improving efficiency, increasing profits, and staying competitive within their respective markets.
Engineering notes
However, the irresponsible implementation of AI tools may cause organizations to suffer significantly by negatively affecting employee attitudes, perseverance, affiliation, and retention. Also, GT does not have a significant relationship with ATAI, though the subcomponents of grit, perseverance of effort (PoE) and consistency of interest (CoI) were significantly related to ATAI.
Chinese explanation / 中文解读
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Original abstract
Today, artificial intelligence (AI) technology demands are growing rapidly to aid organizations in innovation, improving efficiency, increasing profits, and staying competitive within their respective markets. However, the irresponsible implementation of AI tools may cause organizations to suffer significantly by negatively affecting employee attitudes, perseverance, affiliation, and retention. This research is a cross-sectional quantitative study investigating the relationship between attitudes toward artificial intelligence (ATAI), job embeddedness (JE), and grit (GT). The study participants are 132 adult military veterans employed full-time in the United States. The researcher collected data through a self-report survey deployed on the SurveyMonkey online platform. After which, the primary analysis included descriptive statistics, correlation, and a moderated linear regression. The researcher found evidence that JE and ATAI have a significant positive relationship. However, GT does not moderate this relationship. Also, GT does not have a significant relationship with ATAI, though the subcomponents of grit, perseverance of effort (PoE) and consistency of interest (CoI) were significantly related to ATAI. Lastly, after data collection and analysis, the researcher presents the key findings, discussions, limitations, and future research considerations. This research addresses knowledge gaps in several theories, like Technology Acceptance, Organizational Commitment, and Growth Mindset, thus further contributing to existing Industrial and Organizational (I/O) psychology literature. Ultimately, the results of this study offer organizational insights for firms to adopt AI successfully and promote healthy employee attitudes.
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