Matching goal-based incentive systems with cross-functional integration to improve operation and innovation performance

IF 7.1 2区管理学 Q1 MANAGEMENT International Journal of Operations & Production Management Pub Date : 2022-01-31 DOI:10.1108/ijopm-05-2021-0345

Mingu Kang, Um. Ki-Hyun, Y. Shou, J. J. Roh

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引用次数: 3

Abstract

PurposeCross-functional integration has been an important factor for manufacturing firms' performance outcomes. The study aims to expand previous research by investigating the moderating role of goal-based incentive systems in the relationship between cross-functional integration and competitive performance.Design/methodology/approachBased on multi-source data from 269 manufacturing firms around the world, regression analysis is used to test the proposed research model.FindingsThe authors' findings suggest that cross-functional integration enhances manufacturers' innovation and operational performance. Moreover, cross-functional integration has a stronger impact on operational performance when firms implement a well-designed goal-based incentive system. However, the authors find that the goal-based incentive system does not moderate the relationship between cross-functional integration and innovation performance.Originality/valueThe study, by investigating the fit between goal-based incentive systems and cross-functional integration, provides practical insights into the ways that firms apply cross-functional integration and goal-based incentive systems to enhance competitive performance.

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将基于目标的激励机制与跨职能整合相匹配，以提高运营和创新绩效

目的跨职能整合一直是影响制造企业绩效结果的重要因素。本研究旨在通过调查基于目标的激励系统在跨职能整合和竞争绩效之间的关系中的调节作用来扩展先前的研究。设计/方法论/方法基于来自全球269家制造企业的多源数据，使用回归分析来检验所提出的研究模型。研究结果作者的研究结果表明，跨职能整合提高了制造商的创新和运营绩效。此外，当企业实施精心设计的基于目标的激励系统时，跨职能整合对运营绩效的影响更大。然而，作者发现，基于目标的激励制度并不能调节跨职能整合与创新绩效之间的关系。独创性/价值这项研究通过调查基于目标的激励系统和跨职能整合之间的契合度，为企业应用跨职能整合和基于目标的奖励系统来提高竞争绩效的方式提供了实用的见解。

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来源期刊

International Journal of Operations & Production Management MANAGEMENT-

CiteScore

13.30

自引率

17.20%

发文量

期刊介绍： The mission of the International Journal of Operations & Production Management (IJOPM) is to publish cutting-edge, innovative research with the potential to significantly advance the field of Operations and Supply Chain Management, both in theory and practice. Drawing on experiences from manufacturing and service sectors, in both private and public contexts, the journal has earned widespread respect in this complex and increasingly vital area of business management. Methodologically, IJOPM encompasses a broad spectrum of empirically-based inquiry using suitable research frameworks, as long as they offer generic insights of substantial value to operations and supply chain management. While the journal does not categorically exclude specific empirical methodologies, it does not accept purely mathematical modeling pieces. Regardless of the chosen mode of inquiry or methods employed, the key criteria are appropriateness of methodology, clarity in the study's execution, and rigor in the application of methods. It's important to note that any contribution should explicitly contribute to theory. The journal actively encourages the use of mixed methods where appropriate and valuable for generating research insights.