A Look at the Focus on Big Data for Information Technology and Decision Making During 1994 to 2020

Zeshui Xu (), Zijing Ge (), Xinxin Wang and Gang Kou ()
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Zeshui Xu: Business School, Sichuan University, Chengdu 610064, P. R. China
Zijing Ge: Business School, Sichuan University, Chengdu 610064, P. R. China
Xinxin Wang: Business School, Sichuan University, Chengdu 610064, P. R. China
Gang Kou: ��School of Business Administration, Southwestern University of Finance and Economics, Chengdu 61130, P. R. China

International Journal of Information Technology & Decision Making (IJITDM), 2023, vol. 22, issue 01, 7-35

Abstract: Big data starts booming in 2013 and has multiple applications in all walks of life. In such an environment, big data for information technology (BDI) and decision making (BDD) have formed some hot topics in common. This paper reviews the body of BDI and BDD research studies from 1994 to 2020, using bibliometrics analysis. The aim of this paper is to explore the current status, the correlation between BDI and BDD, the future trends and challenges. From time and space dimensions, CiteSpace and VOS viewer are used to obtain the annual trends of documents, the distribution of countries and sources, the citations and the h-index of BDI and BDD. The top three productive countries are the USA, China and the UK. From the perspective of h-index, the USA and the UK are at the forefront of the world. The value of big data is realized through information acquisition, storage, analysis, expression transmission and service sharing technologies, and the decision-making techniques exist throughout the process of big data analysis. “Business†and “Information science library science†are the latest hotspots of BDI. The appliances in the organization, supply chain management, education, and the environment are recent themes of BDD. Big data technology processing capabilities and network security issues are the main challenges in the future. This study contributes to the body of knowledge on BDI and BDD, and hops to help in understanding the evolution of them in relevant fields.

Keywords: Big data; information technology; decision making; bibliometric analysis; visualization (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1142/S0219622022500298

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