A multidisciplinary perspective of big data in management research

被引:140
作者
Sheng, Jie [1 ]
Amankwah-Amoah, Joseph [2 ]
Wang, Xiaojun [1 ]
机构
[1] Univ Bristol, Sch Econ Finance & Management, Priory Rd Complex,Priory Rd, Bristol BS8 1TU, Avon, England
[2] Univ Kent, Kent Business Sch Sail & Colour loft, Hist Dockyard, Chatham ME4 4TE, Kent, England
关键词
Big data; Management research; Literature review; WORD-OF-MOUTH; SUPPLY CHAIN MANAGEMENT; ONLINE PRODUCT REVIEWS; GENERATED CONTENT EVIDENCE; LINGUISTIC STYLE MATCHES; MOVIE BOX-OFFICE; SOCIAL MEDIA USE; DATA-ANALYTICS; SENTIMENT ANALYSIS; MODERATING ROLE;
D O I
10.1016/j.ijpe.2017.06.006
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In recent years, big data has emerged as one of the prominent buzzwords in business and management. In spite of the mounting body of research on big data across the social science disciplines, scholars have offered little synthesis on the current state of knowledge. To take stock of academic research that contributes to the big data revolution, this paper tracks scholarly work's perspectives on big data in the management domain over the past decade. We identify key themes emerging in management studies and develop an integrated framework to link the multiple streams of research in fields of organisation, operations, marketing, information management and other relevant areas. Our analysis uncovers a growing awareness of big data's business values and managerial changes led by data-driven approach. Stemming from the review is the suggestion for research that both structured and unstructured big data should be harnessed to advance understanding of big data value in informing organisational decisions and enhancing firm competitiveness. To discover the full value, firms need to formulate and implement a data-driven strategy. In light of these, the study identifies and outlines the implications and directions for future research.
引用
收藏
页码:97 / 112
页数:16
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