Business Intelligence (BI) in Firm Performance: Role of Big Data Analytics and Blockchain Technology

被引:4
|
作者
Pancic, Mladen [1 ]
Cucic, Drazen [1 ]
Serdarusic, Hrvoje [1 ]
机构
[1] Josip Juraj Strossmayer Univ Osijek, Fac Econ Osijek, Osijek 31000, Croatia
关键词
business intelligence; big data analytics; blockchain; firm performance; structural equation modeling (SEM); SUPPLY CHAIN; IMPACT; CAPABILITIES; CHALLENGES; MANAGEMENT; VARIANCE; ADOPTION; SCIENCE;
D O I
10.3390/economies11030099
中图分类号
F [经济];
学科分类号
02 ;
摘要
The analysis of the causes or drivers of the adoption of big data analytics and blockchain and their subsequent influence on firm performance has become a significant need as a direct result of the rapidly expanding popularity of business intelligence. The purpose of this research is to present a model that investigates the direct and indirect influence of business intelligence on firm performance through the mediating roles of the adoption of big data analytics and blockchain. The analysis is based on data collected from a representative sample of 387 employees from 12 Information technology (IT) firms operating in Croatia. The study investigates these connections using a structural equation modeling. The findings showed that business intelligence has a direct and significant influence on firm performance. In addition, business intelligence significantly and positively influenced the adoption of big data analytics and blockchain and, in turn, firm performance. Additionally, the adoption of big data analytics and blockchain technology signified and positively mediated the relationship between business intelligence and firm performance. Both the mediations were partial. Finally, the study also provides managerial implications, limitations and future directions.
引用
收藏
页数:19
相关论文
共 50 条
  • [41] Organizational business intelligence and decision making using big data analytics
    Niu, Yanfang
    Ying, Limeng
    Yang, Jie
    Bao, Mengqi
    Sivaparthipan, C. B.
    INFORMATION PROCESSING & MANAGEMENT, 2021, 58 (06)
  • [42] The implications of Big Data analytics on Business Intelligence: A qualitative study in China
    Ram, Jiwat
    Zhang, Changyu
    Koronios, Andy
    FOURTH INTERNATIONAL CONFERENCE ON RECENT TRENDS IN COMPUTER SCIENCE & ENGINEERING (ICRTCSE 2016), 2016, 87 : 221 - 226
  • [43] Challenges and Benefits of Deploying Big Data Analytics in the Cloud for Business Intelligence
    Balachandran, Bala M.
    Prasad, Shivika
    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS, 2017, 112 : 1112 - 1122
  • [44] Research Landscape of Business Intelligence and Big Data analytics: A bibliometrics study
    Liang, Ting-Peng
    Liu, Yu-Hsi
    EXPERT SYSTEMS WITH APPLICATIONS, 2018, 111 : 2 - 10
  • [45] Opportunities for Business Intelligence and Big Data Analytics In Evidence Based Medicine
    El-Gayar, Omar
    Timsina, Prem
    2014 47TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS), 2014, : 749 - 757
  • [46] Business Analytics and Big Data
    de Vasconcelos, Jose Braga
    Rocha, Alvaro
    INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2019, 46 : 250 - 251
  • [47] Business analytics and big data
    de Vasconcelos J.B.
    Rocha Á.
    International Journal of Information Management, 2019, 46 : 320 - 321
  • [48] Blockchain Technology, Business Data Analytics, and Artificial Intelligence: Use in the Accounting Profession and Ideas for Inclusion into the Accounting Curriculum
    Qasim, Amer
    Kharbat, Faten F.
    JOURNAL OF EMERGING TECHNOLOGIES IN ACCOUNTING, 2020, 17 (01) : 107 - 117
  • [49] Introduction to HICCS-47 Business Analytics, Business Intelligence and Big Data Minitrack
    Marjanovic, Olivera
    Ariyachandra, Thilini
    Dinter, Barbara
    2014 47TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS), 2014, : 3727 - 3727
  • [50] Big data analytics effect on competitive performance: Mediating role of business model innovation
    Jenkinson, Nandi
    Chiba, Manoj D.
    Mthombeni, Morris
    Verachia, Abdullah H.
    SOUTH AFRICAN JOURNAL OF BUSINESS MANAGEMENT, 2024, 55 (01)