{"title":"探索大数据在仆人式领导与企业绩效关系中的中介作用：来自印度私立医院的启示","authors":"Anup Kumar, Vinit Singh Chauhan","doi":"10.1108/ijppm-08-2023-0453","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>This study examines the relationship between servant leadership and its dimensions on firm performance, with big data playing the role of a mediator.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>Survey responses used for analysis in this study have been taken from business managers associated reputed private sector organizations in India. A conceptual model is proposed grounded to the Conservation of Resource Theory (COR). Structural equation modeling has been used to test the proposed model.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>Servant leadership significantly relates to firm performance, whereby Big Data is seen to play the role of a mediator. The results also indicate that none of the dimensions of servant leadership independently affect firm performance.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>The study adds to extant research by examining the mediating mechanism of Big Data in servant leadership and firm performance. It also suggests that each dimension of servant leadership gets reflected in overall servant leadership. Here it is important to note that Big Data analytics partially mediate the effectiveness of servant leadership.</p><!--/ Abstract__block -->","PeriodicalId":47944,"journal":{"name":"International Journal of Productivity and Performance Management","volume":null,"pages":null},"PeriodicalIF":3.6000,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring the mediating role of big data in the relationship between servant leadership and firm performance: insights from private hospitals in India\",\"authors\":\"Anup Kumar, Vinit Singh Chauhan\",\"doi\":\"10.1108/ijppm-08-2023-0453\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>This study examines the relationship between servant leadership and its dimensions on firm performance, with big data playing the role of a mediator.</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>Survey responses used for analysis in this study have been taken from business managers associated reputed private sector organizations in India. A conceptual model is proposed grounded to the Conservation of Resource Theory (COR). Structural equation modeling has been used to test the proposed model.</p><!--/ Abstract__block -->\\n<h3>Findings</h3>\\n<p>Servant leadership significantly relates to firm performance, whereby Big Data is seen to play the role of a mediator. The results also indicate that none of the dimensions of servant leadership independently affect firm performance.</p><!--/ Abstract__block -->\\n<h3>Originality/value</h3>\\n<p>The study adds to extant research by examining the mediating mechanism of Big Data in servant leadership and firm performance. It also suggests that each dimension of servant leadership gets reflected in overall servant leadership. Here it is important to note that Big Data analytics partially mediate the effectiveness of servant leadership.</p><!--/ Abstract__block -->\",\"PeriodicalId\":47944,\"journal\":{\"name\":\"International Journal of Productivity and Performance Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2024-02-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Productivity and Performance Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/ijppm-08-2023-0453\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Productivity and Performance Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ijppm-08-2023-0453","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
Exploring the mediating role of big data in the relationship between servant leadership and firm performance: insights from private hospitals in India
Purpose
This study examines the relationship between servant leadership and its dimensions on firm performance, with big data playing the role of a mediator.
Design/methodology/approach
Survey responses used for analysis in this study have been taken from business managers associated reputed private sector organizations in India. A conceptual model is proposed grounded to the Conservation of Resource Theory (COR). Structural equation modeling has been used to test the proposed model.
Findings
Servant leadership significantly relates to firm performance, whereby Big Data is seen to play the role of a mediator. The results also indicate that none of the dimensions of servant leadership independently affect firm performance.
Originality/value
The study adds to extant research by examining the mediating mechanism of Big Data in servant leadership and firm performance. It also suggests that each dimension of servant leadership gets reflected in overall servant leadership. Here it is important to note that Big Data analytics partially mediate the effectiveness of servant leadership.
期刊介绍：
■Organisational design and methods ■Performance management ■Performance measurement tools and techniques ■Process analysis, engineering and re-engineering ■Quality and business excellence management Articles can address these topics theoretically or empirically through either a descriptive or critical approach. The co-Editors support articles that significantly bring new knowledge to the area both for academics and practitioners. The material for publication in IJPPM should be written in a manner which makes it accessible to its entire wide-ranging readership. Submissions of highly technical or mathematically-oriented papers are discouraged.
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