Exploring the mediating role of big data in the relationship between servant leadership and firm performance: insights from private hospitals in India

IF 3.6 Q2 MANAGEMENT International Journal of Productivity and Performance Management Pub Date : 2024-02-22 DOI:10.1108/ijppm-08-2023-0453

Anup Kumar, Vinit Singh Chauhan

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Abstract

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.

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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

本研究探讨了仆人式领导力及其维度与企业绩效之间的关系，大数据在其中发挥了中介作用。根据资源保护理论（COR）提出了一个概念模型。研究结果服务型领导与企业绩效有显著关系，大数据在其中起到了中介作用。结果还表明，仆人式领导力的各个维度都不会独立影响企业绩效。原创性/价值本研究通过考察大数据在仆人式领导力和企业绩效中的中介机制，对现有研究进行了补充。研究还表明，仆人式领导力的每个维度都反映在整体仆人式领导力中。值得注意的是，大数据分析在一定程度上促进了仆人式领导的有效性。

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来源期刊

International Journal of Productivity and Performance Management MANAGEMENT-

CiteScore

7.90

自引率

9.70%

发文量

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.