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      High-performance work system and organizational citizenship behaviour at the shop floor

      , , ,
      Benchmarking: An International Journal
      Emerald

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          Abstract

          Purpose

          The manufacturing industry is presently experiencing technological disruption on a global scale. Consequently, to tackle such disruption, firms are identifying a volatile, uncertain, complex and ambiguous (VUCA) scenario and seeking ways to counter it. Accordingly, this paper aims to investigate the employee performance through assessing organizational citizenship behaviour (OCB) among the shop floor employees of the fast-moving consumer goods (FMCG) industry where a high-performance work system (HPWS) has been implemented.

          Design/methodology/approach

          A descriptive research design was used in the study, and 395 shop floor employees working in leading multinational firms, with a minimum global turnover of US$1bn, were interviewed. These manufacturing firms were located in three industrial clusters in the northern part of India.

          Findings

          The results indicate that HPWS influences OCB. Most of the dimensions of HPWS and OCB were found to be positively associated. The findings also disprove the labour process theory in the context of the study.

          Practical implications

          The findings report a broad view of the relationship between HPWS and OCB in the Indian manufacturing context. The study offers the practical insights that HPWS is a universally accepted framework and that organizations should focus on the effective implementation of HPWS in a VUCA scenario, which is in line with past studies. The study also provides future directions for research.

          Originality/value

          This paper has established the relationship between HPWS and OCB in the manufacturing sector, especially for shop floor employees.

          Related collections

          Most cited references199

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          Common method biases in behavioral research: A critical review of the literature and recommended remedies.

          Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
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            Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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              Self-efficacy: Toward a unifying theory of behavioral change.

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                Author and article information

                Contributors
                Journal
                Benchmarking: An International Journal
                BIJ
                Emerald
                1463-5771
                February 07 2020
                May 04 2020
                February 07 2020
                May 04 2020
                : 27
                : 4
                : 1369-1398
                Article
                10.1108/BIJ-07-2019-0339
                5a96018a-a0c5-4f05-8e34-da51cc46f56c
                © 2020

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