Big data analytics capability for competitive advantage and firm performance in Malaysian manufacturing firms

IF 3.6 Q2 MANAGEMENT
Chu-Le Chong, Siti Zaleha Abdul Rasid, Haliyana Khalid, T. Ramayah
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引用次数: 0

Abstract

Purpose

This study investigated the relationships among big data analytics capability (BDAC), low-cost advantage, differentiation advantage, market and operational performance underpinning the resource-based view (RBV) and the entanglement view of sociomaterialism (EVS) theories.

Design/methodology/approach

A total of 191 responses from members of the Federation of Malaysian Manufacturers were analysed using a structural equation modelling approach.

Findings

This study has conclusively demonstrated that BDAC is indeed a resource bundle comprising human skills, tangible and intangible resources. This study found that BDAC positively influences competitive advantage and firm performance. The differentiation advantage was found to be a key factor in explaining market performance. Theoretically, both RBV and EVS could be used to link BDAC, differentiation advantage and market performance to explain superior firm performance.

Research limitations/implications

First, the sample is restricted to the manufacturers in Malaysia. Second, a single independent variable, BDAC, is used as a higher-order capability to influence competitive advantage, and thus, superior firm performance. Third, this study uses a self-reported survey, which means that only one respondent from each firm answered the questions. Fourth, this study excludes the focused strategy as it aims to investigate the competitive strategy used in the broader industry environment, rather than in a specific segment pursuing a focused strategy.

Practical implications

First, BDAC is a valuable, rare, inimitable and non-substitutable tool for manufacturers to enhance their firm performance. Second, BDAC is crucial for manufacturing firms to reduce costs and differentiate themselves. Third, a low-cost advantage may not help manufacturers achieve greater market and operational performance.

Originality/value

The relationship among BDAC, low-cost advantage, differentiation advantage, market and operational performance within manufacturing industry is empirically tested.

大数据分析能力促进马来西亚制造企业的竞争优势和企业绩效
本研究调查了大数据分析能力(BDAC)、低成本优势、差异化优势、市场和运营绩效之间的关系,并以基于资源的观点(RBV)和社会物质主义纠缠观点(EVS)理论为基础。本研究采用结构方程建模法分析了马来西亚制造商联合会成员的 191 份回复。本研究发现,BDAC 对竞争优势和企业绩效有积极影响。研究发现,差异化优势是解释市场绩效的关键因素。从理论上讲,RBV 和 EVS 都可以用来将 BDAC、差异化优势和市场绩效联系起来,以解释企业的卓越绩效。第二,BDAC 这一单一自变量被用作影响竞争优势的高阶能力,进而影响企业的卓越绩效。第三,本研究采用自我报告式调查,即每家公司只有一名受访者回答问题。第四,本研究不包括重点战略,因为本研究旨在调查在更广泛的行业环境中使用的竞争战略,而不是在追求重点战略的特定细分市场中使用的竞争战略。其次,BDAC 对制造企业降低成本、实现差异化至关重要。第三,低成本优势可能无法帮助制造商实现更高的市场和运营绩效。原创性/价值通过实证检验了制造业中 BDAC、低成本优势、差异化优势、市场和运营绩效之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.90
自引率
9.70%
发文量
87
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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