Ahsan Ali, Xianfang Xue, Nan Wang, Xicheng Yin, Hussain Tariq
{"title":"团队层面的领导-成员交流和人工智能对信息系统开发团队绩效的相互作用:中介调节视角","authors":"Ahsan Ali, Xianfang Xue, Nan Wang, Xicheng Yin, Hussain Tariq","doi":"10.1108/ijmpb-11-2023-0253","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>The aim of this study is to investigate how team-level leader-member exchange (LMX) and the instrumental use of artificial intelligence (AI) by team members influence team psychological empowerment and information systems development (ISD) team performance.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>A survey approach was employed to collect time-lagged, multi-source data for testing the proposed model of this study (<em>N</em> = 514 responses from 88 teams). PROCESS macro was used to analyze the data to generate empirical results.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>The results suggest that instrumental AI use indirectly influences ISD team performance by enhancing team psychological empowerment. Additionally, it moderates the effects of team-level LMX on team psychological empowerment and ISD team performance. Furthermore, the results demonstrate that the interaction effect of LMX and instrumental AI use on ISD team performance is mediated by team psychological empowerment.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>While research on ISD consistently demonstrates that teams, data, and technology collectively contribute to the success of these projects. What is less known, however, is how the exchange relationship between ISD teams and their leader, as well as technological factors, contribute to ISD projects. This study draws on LMX theory to propose how team-level LMX and the instrumental use of AI by team members influence team psychological empowerment and ISD team performance. The study puts forth a mediated moderation model to develop a set of hypotheses. It offers valuable contributions to AI and LMX, along with implications for ISD team management.</p><!--/ Abstract__block -->","PeriodicalId":47374,"journal":{"name":"International Journal of Managing Projects in Business","volume":"13 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The interplay of team-level leader-member exchange and artificial intelligence on information systems development team performance: a mediated moderation perspective\",\"authors\":\"Ahsan Ali, Xianfang Xue, Nan Wang, Xicheng Yin, Hussain Tariq\",\"doi\":\"10.1108/ijmpb-11-2023-0253\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>The aim of this study is to investigate how team-level leader-member exchange (LMX) and the instrumental use of artificial intelligence (AI) by team members influence team psychological empowerment and information systems development (ISD) team performance.</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>A survey approach was employed to collect time-lagged, multi-source data for testing the proposed model of this study (<em>N</em> = 514 responses from 88 teams). PROCESS macro was used to analyze the data to generate empirical results.</p><!--/ Abstract__block -->\\n<h3>Findings</h3>\\n<p>The results suggest that instrumental AI use indirectly influences ISD team performance by enhancing team psychological empowerment. Additionally, it moderates the effects of team-level LMX on team psychological empowerment and ISD team performance. Furthermore, the results demonstrate that the interaction effect of LMX and instrumental AI use on ISD team performance is mediated by team psychological empowerment.</p><!--/ Abstract__block -->\\n<h3>Originality/value</h3>\\n<p>While research on ISD consistently demonstrates that teams, data, and technology collectively contribute to the success of these projects. What is less known, however, is how the exchange relationship between ISD teams and their leader, as well as technological factors, contribute to ISD projects. This study draws on LMX theory to propose how team-level LMX and the instrumental use of AI by team members influence team psychological empowerment and ISD team performance. The study puts forth a mediated moderation model to develop a set of hypotheses. It offers valuable contributions to AI and LMX, along with implications for ISD team management.</p><!--/ Abstract__block -->\",\"PeriodicalId\":47374,\"journal\":{\"name\":\"International Journal of Managing Projects in Business\",\"volume\":\"13 1\",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Managing Projects in Business\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1108/ijmpb-11-2023-0253\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Managing Projects in Business","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/ijmpb-11-2023-0253","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
The interplay of team-level leader-member exchange and artificial intelligence on information systems development team performance: a mediated moderation perspective
Purpose
The aim of this study is to investigate how team-level leader-member exchange (LMX) and the instrumental use of artificial intelligence (AI) by team members influence team psychological empowerment and information systems development (ISD) team performance.
Design/methodology/approach
A survey approach was employed to collect time-lagged, multi-source data for testing the proposed model of this study (N = 514 responses from 88 teams). PROCESS macro was used to analyze the data to generate empirical results.
Findings
The results suggest that instrumental AI use indirectly influences ISD team performance by enhancing team psychological empowerment. Additionally, it moderates the effects of team-level LMX on team psychological empowerment and ISD team performance. Furthermore, the results demonstrate that the interaction effect of LMX and instrumental AI use on ISD team performance is mediated by team psychological empowerment.
Originality/value
While research on ISD consistently demonstrates that teams, data, and technology collectively contribute to the success of these projects. What is less known, however, is how the exchange relationship between ISD teams and their leader, as well as technological factors, contribute to ISD projects. This study draws on LMX theory to propose how team-level LMX and the instrumental use of AI by team members influence team psychological empowerment and ISD team performance. The study puts forth a mediated moderation model to develop a set of hypotheses. It offers valuable contributions to AI and LMX, along with implications for ISD team management.
期刊介绍:
The International Journal of Managing Projects in Business seeks to advance the theory, research and practice of all aspects of project management. IJMPB is looking for top quality theoretical and empirical research with the aims of: promoting the understanding of project management and; encouraging the publication of novel project management insights using multidisciplinary approaches rooted in social sciences. The journal provides a much-needed resource involved in project management by exploring new avenues not often addressed in the field of project management.