Big data analytical capability and firm performance: moderating effect of analytics capability business strategy alignment

Q3 Economics, Econometrics and Finance
Amal Sindarov, Ali Vafaei Zadeh, N.A. Syafrizal, Razib Chandra Chanda
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引用次数: 0

Abstract

This research investigates the impact of big data analytical capability (BDAC) on decision-making performance, comparative advantage, and firm performance considering the moderating effect of analytical capability business strategy alignment among manufacturing companies. To test the research framework, a survey questionnaire was distributed to Malaysian manufacturing companies. The results indicate that customer orientation, entrepreneurial orientation, and technology orientation positively and significantly affect BDAC. Besides, BDAC has a positive and significant effect on decision making performance, comparative advantage, and firm performance. The results of this study highlighted that BDAC is an important enabler of organisational performance and their competitive advantage. However, DBAC is more strongly related to competitive advantage than to firm performance.
大数据分析能力与企业绩效:分析能力与企业战略一致性的调节作用
本研究考察了大数据分析能力(BDAC)对制造业企业决策绩效、比较优势和企业绩效的影响,并考虑了分析能力对企业战略一致性的调节作用。为了检验研究框架,向马来西亚制造企业分发了一份调查问卷。结果表明,顾客导向、创业导向和技术导向正向显著影响企业绩效决策。此外,BDAC对决策绩效、比较优势和企业绩效有显著的正向影响。本研究的结果强调,BDAC是组织绩效和竞争优势的重要推动者。然而,DBAC与竞争优势的关系比与公司绩效的关系更强。
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来源期刊
International Journal of Applied Decision Sciences
International Journal of Applied Decision Sciences Decision Sciences-Information Systems and Management
CiteScore
1.40
自引率
0.00%
发文量
61
期刊介绍: IJADS is a double-blind refereed international journal whose focus is to promote the infusion of the functional and behavioural areas of business with the concepts and methodologies of the decision sciences and information systems. IJADS distinguishes itself as a business journal with an explicit focus on modelling and applied decision-making. The thrust of IJADS is to provide practical guidance to decision makers and practicing managers by publishing papers that bridge the gap between theory and practice of decision sciences and information systems in business, industry, government and academia. Papers published in the journal must contain some link to practice through realistically detailed examples or real applications.
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