Business intelligence and analytics value creation in Industry 4.0: a multiple case study in manufacturing medium enterprises

被引:68
|
作者
Bordeleau, Fanny-Eve [1 ]
Mosconi, Elaine [1 ]
de Santa-Eulalia, Luis Antonio [1 ]
机构
[1] Univ Sherbrooke, Business Sch, 2500 Blvd Univ, Sherbrooke, PQ J1K 2R1, Canada
关键词
Business intelligence; analytics; business value creation; organizational learning ambidexterity; medium enterprises; PERFORMANCE-MEASUREMENT SYSTEMS; BIG DATA; FIRM PERFORMANCE; MEDIATING ROLE; OPERATIONS; AMBIDEXTERITY; PERSPECTIVE; TRANSFORMATION; EXPLOITATION; EXPLORATION;
D O I
10.1080/09537287.2019.1631458
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Medium enterprises (MEs) form a majority of enterprises in several regions, yet they are underrepresented in the literature. The digital transformation known as Industry 4.0 (I4.0) brings new data streams into enterprises. MEs and large enterprises will both leverage business intelligence and analytics (BI&A) to improve their business performance, so the study of the conditions favouring value creation of BI&A is of interest. However, there are few studies focusing on the impact of business intelligence and analytics (BI&A) on value creation in I4.0 and none focusing on MEs. Using a multiple case-study design, this paper explores factors linked to BI&A business value creation in manufacturing MEs that are undergoing an I4.0 transformation. Findings suggest enterprises resources and capabilities are not sufficient to predict business value: organizational learning and organizational culture have a non-negligible influence for MEs.
引用
收藏
页码:173 / 185
页数:13
相关论文
共 50 条
  • [1] Understanding the Processes of how Small and Medium Enterprises derive Value from Business Intelligence and Analytics
    Wee, Mak
    Scheepers, Helana
    Tian, Xuemei
    [J]. AUSTRALASIAN JOURNAL OF INFORMATION SYSTEMS, 2022, 26
  • [2] Business intelligence and analytics for value creation: The role of absorptive capacity
    Bozic, Katerina
    Dimovski, Vlado
    [J]. INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2019, 46 : 93 - 103
  • [3] A Framework for Industry 4.0 Readiness and Maturity of Smart Manufacturing Enterprises: A Case Study
    Cinar, Zeki Murat
    Zeeshan, Qasim
    Korhan, Orhan
    [J]. SUSTAINABILITY, 2021, 13 (12)
  • [4] Additive Manufacturing in Australian Small to Medium Enterprises: Vat Polymerisation Techniques, Case Study and Pathways to Industry 4.0 Competitiveness
    Rooney, Kimberley
    Dong, Yu
    Pramanik, Alokesh
    Basak, Animesh Kumar
    [J]. JOURNAL OF MANUFACTURING AND MATERIALS PROCESSING, 2023, 7 (05):
  • [5] SMALL AND MEDIUM ENTERPRISES' BUSINESS SUSTAINABILITY BASED ON THE INDUSTRY 4.0 INTERNET OF THINGS ADOPTION: A MALAYSIAN BUMIPUTERA CASE STUDY
    Abd Shukor, Rijal
    Mooi, Wah Kian
    Ahmad, Mohammad Nazir
    [J]. SERBIAN JOURNAL OF MANAGEMENT, 2022, 17 (01) : 99 - 110
  • [6] A Framework of Value Creation from Business Intelligence and Analytics in Competitive Sports
    Caya, Olivier
    Bourdon, Adrien
    [J]. PROCEEDINGS OF THE 49TH ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS 2016), 2016, : 1061 - 1071
  • [7] New Business Models Based on Multiple Value Creation for the Customer: A Case Study in the Chemical Industry
    Simberova, Iveta
    Kita, Peter
    [J]. SUSTAINABILITY, 2020, 12 (09)
  • [8] The fit of Industry 4.0 applications in manufacturing logistics: a multiple case study
    Strandhagen, Jo Wessel
    Alfnes, Erlend
    Strandhagen, Jan Ola
    Vallandingham, Logan Reed
    [J]. ADVANCES IN MANUFACTURING, 2017, 5 (04) : 344 - 358
  • [9] The fit of Industry 4.0 applications in manufacturing logistics: a multiple case study
    Jo Wessel Strandhagen
    Erlend Alfnes
    Jan Ola Strandhagen
    Logan Reed Vallandingham
    [J]. Advances in Manufacturing, 2017, 5 : 344 - 358
  • [10] Success factors for implementing Business Analytics in small and medium enterprises in the food industry
    Muller, Jonas
    Schuh, Gunther
    Meichsner, Dustin
    Gudergan, Gerhard
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON TECHNOLOGY MANAGEMENT, OPERATIONS AND DECISIONS (ICTMOD), 2020,