Paper 28 Title: THE ENVIRONMENTAL FACTORS AND CONDUCTED FACTORS THAT INFLUENCE THE ERP (ENTERPRISE RESOURCE PLANNING) BENEFITS

This study aims to examine ERP performance at the post-implementation stage, particularly from the perspective of environmental factors and conducted factors. Specifically, we propose that both environmental factors (including external contexts and internal contexts) and conducted factors (including data quality and customization) affect ERP intermediated benefits (including coordination improvement and task efficiency), which in turn influence the overall benefits. A firm-level survey is used to collected data. Our findings support the proposed hypotheses. We also provide implications for both managers and researchers

How Employee Use of Generative Artificial Intelligence Affects Self-Evaluation: Investigating Implications for Job Insecurity and Career Commitment

This research delves into the transformative influence of Generative Artificial Intelligence (GenAI) on the self-evaluation processes of employees within contemporary organizations. In an era marked by rapid technological advancements, the integration of AI into various facets of the workplace is reshaping traditional paradigms. We use Self-Evaluation Maintenance (SEM) Model, which is our theoretical lens, and combining with the concept of Core Self-Evaluation (CSE) to conduct our research model. This study seeks to elucidate whether the usage of GenAI, specifically in the context of performance compares to GenAI, and then the impact on CSE, which we plan to use in this research, has discernible effects on how employees perceive and evaluate their own contributions. In addition, we adapt various reliable scales to assess the constructs in our research model. This research employs surveys and content analysis of questionnaire data to investigate the perceptions of employees in organizations that have introduced GenAI-driven tools for performance appraisal. The objective is to determine whether these tools, by providing real-time feedback, personalized recommendations, and novel evaluation metrics, result in changed self-perceptions and attitudes towards one\u27s work