TY - GEN
T1 - A Descriptive Literature Review and Classification of Business Intelligence and Big Data Research
AU - Rashid, Ammar
AU - Khurshid, Muhammad Mahboob
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Business Intelligence (BI) leverages IT tools and services to transform data into insights that inform an organization's business decisions. BI using Big Data has gained popularity in recent years and has become a significant study area for academics and practitioners. However, prior studies have highlighted the technical challenges of BI using Big Data. The extant BI and Big Data literature has mainly focused on technology and behavior-related factors to examine this field. Fewer studies have provided the extent of this area to understand the classification of BI and the Big Data field. Given the significant nature of BI and Big Data, this paper presents a descriptive literature review and classification scheme for BI and Business Intelligence. The study includes 128 refereed journal articles published since the inception of BI and Big Data research. The articles are classified based on a scheme that consists of three main categories: Management, Technological, and Application and Domain of usage. The results show that current research is still skewed towards technological aspects, followed by management, and followed by application and domain of use. This review provides a reference source and classification scheme for information system research interested in BD and Business Intelligence domain and indicates under-focused areas and future directions.
AB - Business Intelligence (BI) leverages IT tools and services to transform data into insights that inform an organization's business decisions. BI using Big Data has gained popularity in recent years and has become a significant study area for academics and practitioners. However, prior studies have highlighted the technical challenges of BI using Big Data. The extant BI and Big Data literature has mainly focused on technology and behavior-related factors to examine this field. Fewer studies have provided the extent of this area to understand the classification of BI and the Big Data field. Given the significant nature of BI and Big Data, this paper presents a descriptive literature review and classification scheme for BI and Business Intelligence. The study includes 128 refereed journal articles published since the inception of BI and Big Data research. The articles are classified based on a scheme that consists of three main categories: Management, Technological, and Application and Domain of usage. The results show that current research is still skewed towards technological aspects, followed by management, and followed by application and domain of use. This review provides a reference source and classification scheme for information system research interested in BD and Business Intelligence domain and indicates under-focused areas and future directions.
KW - Big Data
KW - Business Intelligence
KW - Business analytics
KW - Classification
KW - Descriptive literature review
UR - https://www.scopus.com/pages/publications/85135060282
U2 - 10.1007/978-3-031-10461-9_59
DO - 10.1007/978-3-031-10461-9_59
M3 - Conference contribution
AN - SCOPUS:85135060282
SN - 9783031104602
T3 - Lecture Notes in Networks and Systems
SP - 865
EP - 879
BT - Intelligent Computing - Proceedings of the 2022 Computing Conference
A2 - Arai, Kohei
PB - Springer Science and Business Media Deutschland GmbH
T2 - Computing Conference, 2022
Y2 - 14 July 2022 through 15 July 2022
ER -