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

被引:6
作者
Chong, Chu-Le [1 ]
Rasid, Siti Zaleha Abdul [2 ]
Khalid, Haliyana [2 ]
Ramayah, T. [3 ]
机构
[1] Tunku Abdul Rahman Univ Coll, Fac Accountancy Finance & Business, Kuala Lumpur, Malaysia
[2] UTM, Azman Hashim Int Business Sch, Kuala Lumpur, Malaysia
[3] USM, Sch Management, Technol Management, George Town, Malaysia
关键词
Competitive advantage; Information technology domain; Big data analytics capability; Firm performance; Resource-based view; Entanglement view of sociomaterialism; RESOURCE-BASED VIEW; PLS-SEM GUIDELINES; SUPPLY CHAIN; PREDICTIVE ANALYTICS; DYNAMIC-CAPABILITIES; BUSINESS VALUE; STRATEGY; MANAGEMENT; LEADERSHIP; KNOWLEDGE;
D O I
10.1108/IJPPM-11-2022-0567
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
PurposeThis 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/approachA total of 191 responses from members of the Federation of Malaysian Manufacturers were analysed using a structural equation modelling approach.FindingsThis 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/implicationsFirst, 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 implicationsFirst, 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/valueThe relationship among BDAC, low-cost advantage, differentiation advantage, market and operational performance within manufacturing industry is empirically tested.
引用
收藏
页码:2305 / 2328
页数:24
相关论文
共 88 条
[1]   How to improve firm performance using big data analytics capability and business strategy alignment? [J].
Akter, Shahriar ;
Wamba, Samuel Fosso ;
Gunasekaran, Angappa ;
Dubey, Rameshwar ;
Childe, Stephen J. .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2016, 182 :113-131
[2]  
Baharuden AF., 2019, International Journal of Management and Human Science, V3, P10
[3]   FIRM RESOURCES AND SUSTAINED COMPETITIVE ADVANTAGE [J].
BARNEY, J .
JOURNAL OF MANAGEMENT, 1991, 17 (01) :99-120
[4]  
Basbeth F, 2019, Research in World Economy, V10, P20, DOI [10.5430/rwe.v10n2p20, 10.5430/rwe.v10n2p20, DOI 10.5430/RWE.V10N2P20]
[5]   Hierarchical Latent Variable Models in PLS-SEM: Guidelines for Using Reflective-Formative Type Models [J].
Becker, Jan-Michael ;
Klein, Kristina ;
Wetzels, Martin .
LONG RANGE PLANNING, 2012, 45 (5-6) :359-394
[6]   A resource-based perspective on information technology capability and firm performance: An empirical investigation [J].
Bharadwaj, AS .
MIS QUARTERLY, 2000, 24 (01) :169-196
[7]  
Bougie R., 2020, Research method for business: A skill building approach, V8th ed.
[8]  
BURRELL G., 2001, Sociological paradigms and organisational analysis : elements of the sociology of corporate life
[9]   The impact of supply chain analytics on operational performance: a resource-based view [J].
Chae, Bongsug ;
Olson, David ;
Sheu, Chwen .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2014, 52 (16) :4695-4710
[10]   BUSINESS ANALYTICS FOR SUPPLY CHAIN: A DYNAMIC-CAPABILITIES FRAMEWORK [J].
Chae, Bongsug ;
Olson, David L. .
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2013, 12 (01) :9-26