Analysis of Influencing Factors of Big Data Adoption in Chinese Enterprises Using DANP Technique

Lei Wang, Mengke Yang, Zulfiqar Hussain Pathan, Shafaq Salam, Khuram Shahzad and Jianqiu Zeng
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Lei Wang: School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China
Mengke Yang: School of Automation, Beijing University of Posts and Telecommunications, Beijing 100876, China
Zulfiqar Hussain Pathan: School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China
Shafaq Salam: School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China
Khuram Shahzad: School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China
Jianqiu Zeng: School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China

Sustainability, 2018, vol. 10, issue 11, 1-16

Abstract: Globally, many enterprises are currently focusing on big data technology to improve their performance and operations. Recent literature points out several factors that influence the adoption of big data. However, enterprises often resist using the business value of big data due to a lack of knowledge. The purpose of this study is to investigate the factors influencing big data adoption by Chinese enterprises and to develop an indicator system based on the Motivation–Opportunity–Ability (MOA) model. Moreover, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is used to construct a network relationship map and to analyze its effects. Using the DEMATEL-based Analytic Network Process (ANP) (DANP) method to identify the weight distribution of index, this study quantitatively evaluates the influencing factors. The results show that leadership support, perceived usefulness, financial support, data resources, industrial development, data talents, and technical capability are key elements affecting the application of big data. Accordingly, some targeted suggestions are proposed.

Keywords: big data; influencing factors; MOA model; DANP method (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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