Does big data enhance firm innovation competency? The mediating role of data-driven insights

被引:143
|
作者
Ghasemaghaei, Maryam [1 ]
Calic, Goran [2 ]
机构
[1] McMaster Univ, DeGroote Sch Business, Informat Syst, Hamilton, ON, Canada
[2] McMaster Univ, DeGroote Sch Business, Hamilton, ON, Canada
关键词
Big data characteristics; Descriptive insight; Predictive insight; Prescriptive insight; Innovation competency; COMMON METHOD VARIANCE; DATA ANALYTICS; BUSINESS INTELLIGENCE; KNOWLEDGE MANAGEMENT; LEARNING ORIENTATION; PRODUCT DEVELOPMENT; SUPPLY CHAIN; EXPLORATION; EXPLOITATION; INFORMATION;
D O I
10.1016/j.jbusres.2019.07.006
中图分类号
F [经济];
学科分类号
02 ;
摘要
Grounded in gestalt insight learning theory and organizational learning theory, we collected data from 280 middle and top-level managers to investigate the impact of each big data characteristic (i.e., data volume, data velocity, data variety, and data veracity) on firm innovation competency (i.e., exploitation competency and exploration competency), mediated through data-driven insight generation (i.e., descriptive insight, predictive insight, and prescriptive insight). Findings show that while data velocity, variety, and veracity enhance data-driven insight generation, data volume does not impact it. Additionally, results of the post hoc analysis indicate that while descriptive and predictive insights improve innovation competency, prescriptive insight does not affect it. These results provide interesting and unique theoretical and practical insights.
引用
收藏
页码:69 / 84
页数:16
相关论文
共 50 条
  • [1] Big data analytics management capability and firm performance: the mediating role of data-driven culture
    Tugba Karaboga
    Cemal Zehir
    Ekrem Tatoglu
    H. Aykut Karaboga
    Abderaouf Bouguerra
    [J]. Review of Managerial Science, 2023, 17 : 2655 - 2684
  • [2] Big data analytics management capability and firm performance: the mediating role of data-driven culture
    Karaboga, Tugba
    Zehir, Cemal
    Tatoglu, Ekrem
    Karaboga, H. Aykut
    Bouguerra, Abderaouf
    [J]. REVIEW OF MANAGERIAL SCIENCE, 2023, 17 (08) : 2655 - 2684
  • [3] SMES IN DATA-DRIVEN ERA: THE ROLE OF BIG DATA TO FIRM PERFORMANCE
    Kopanakis, Ioannis
    Vassakis, Konstantinos
    Mastorakis, George
    [J]. INNOVATION, ENTREPRENEURSHIP AND DIGITAL ECOSYSTEMS, 2016, : 2031 - 2031
  • [4] Data-driven innovation: switching the perspective on Big Data
    Trabucchi, Daniel
    Buganza, Tommaso
    [J]. EUROPEAN JOURNAL OF INNOVATION MANAGEMENT, 2019, 22 (01) : 23 - 40
  • [5] Does data-driven culture impact innovation and performance of a firm? An empirical examination
    Sheshadri Chatterjee
    Ranjan Chaudhuri
    Demetris Vrontis
    [J]. Annals of Operations Research, 2024, 333 : 601 - 626
  • [6] Does data-driven culture impact innovation and performance of a firm? An empirical examination
    Chatterjee, Sheshadri
    Chaudhuri, Ranjan
    Vrontis, Demetris
    [J]. ANNALS OF OPERATIONS RESEARCH, 2024, 333 (2-3) : 601 - 626
  • [7] The data-driven leader: developing a big data analytics leadership competency framework
    Schmidt, David Holger
    van Dierendonck, Dirk
    Weber, Ulrike
    [J]. JOURNAL OF MANAGEMENT DEVELOPMENT, 2023, 42 (04) : 297 - 326
  • [8] BIG DATA ANALYTICS AND FIRM INNOVATIVENESS: THE MODERATING EFFECT OF DATA-DRIVEN CULTURE
    Karaboga, Tugba
    Zehir, Cemal
    Karaboga, Hasan Aykut
    [J]. JOINT CONFERENCE ISMC 2018-ICLTIBM 2018 - 14TH INTERNATIONAL STRATEGIC MANAGEMENT CONFERENCE & 8TH INTERNATIONAL CONFERENCE ON LEADERSHIP, TECHNOLOGY, INNOVATION AND BUSINESS MANAGEMENT, 2019, 54 : 526 - 535
  • [9] Big Data as the Big Game Changer Big Data-driven world needs Big Data-driven ideology
    Smorodin, Gennady
    Kolesnichenko, Olga
    [J]. 2015 9TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT), 2015, : 40 - 43
  • [10] Do big data-driven HR practices improve HR service quality and innovation competency of SMEs
    Verma, Surabhi
    Singh, Vibhav
    Bhattacharyya, Som Sekhar
    [J]. INTERNATIONAL JOURNAL OF ORGANIZATIONAL ANALYSIS, 2021, 29 (04) : 950 - 973