Endorsement of AI Emergent Leadership

Method

Data were collected through an online platform, with the data collected in two waves, one week apart.Study 2: Scenario ExperimentData Type: Experimental dataSample Description: The data from Study 2 were collected from 560 participants, none of whom had participated in Study 1. In the experiment, participants were randomly assigned to one of four conditions, manipulating AI empathic concern (high/low) and perceived artificiality (high/low).Variable Description: The data collected in the experiment includes ratings related to AI empathic concern, emotional transportation, endorsement of AI emergent leadership, and perceived artificiality.

The data also includes indirect effects between emotional transportation and endorsement of AI leadership.Data Collection

Method

Participants read a scenario describing the AI performance management system "PerformancePlus" and then completed a survey based on this scenario.Data Usage and AnalysisData Analysis

Methods

The dataset supports various statistical analysis methods, including confirmatory factor analysis (CFA), regression analysis, and moderated mediation analysis (using SPSS PROCESS macro for bootstrapping), to validate the roles of emotional transportation and perceived artificiality in supporting AI leadership.Results: Data analysis results validate that AI empathic concern promotes employees' endorsement of AI emergent leadership through emotional transportation, and that perceived artificiality moderates this effect.Data Sharing and AccessThe dataset has been anonymized and includes clear variable descriptions.

Users can use this dataset for further analysis to explore additional insights into AI leadership, employee responses, and the dynamic relationships between AI and human collaboration.