DOI: 10.57760/sciencedb.31221
title: Endorsement of AI Emergent Leadership
title: 对AI新兴领导力的支持

description: This dataset originates from two independent studies aimed at exploring employees' endorsement of AI emergent leadership, with a particular focus on the role of AI empathic concern in this process. The dataset includes survey and experimental data collected from the two studies, covering employees' emotional and cognitive responses to AI agent leadership.Study 1: SurveyData Type: Survey dataSample Description: The data from Study 1 were collected from 307 participants across multiple industries, including technology, internet, finance, and healthcare. All participants had collaborated with AI agents in their work.Variable Description: The data includes multiple ratings related to AI empathic concern, perceived artificiality, emotional transportation, and endorsement of AI emergent leadership. A 5-point or 7-point scale was used to measure each variable, and all scales were validated using confirmatory factor analysis (CFA).Data Collection 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.
description: This dataset originates from two independent studies aimed at exploring employees' endorsement of AI emergent leadership, with a particular focus on the role of AI empathic concern in this process. The dataset includes survey and experimental data collected from the two studies, covering employees' emotional and cognitive responses to AI agent leadership.Study 1: SurveyData Type: Survey dataSample Description: The data from Study 1 were collected from 307 participants across multiple industries, including technology, internet, finance, and healthcare. All participants had collaborated with AI agents in their work.Variable Description: The data includes multiple ratings related to AI empathic concern, perceived artificiality, emotional transportation, and endorsement of AI emergent leadership. A 5-point or 7-point scale was used to measure each variable, and all scales were validated using confirmatory factor analysis (CFA).Data Collection 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.