Does data-driven culture impact innovation and performance of a firm? An empirical examination

被引:0
|
作者
Sheshadri Chatterjee
Ranjan Chaudhuri
Demetris Vrontis
机构
[1] Indian Institute of Technology Kharagpur,Department of Computer Science and Engineering
[2] National Institute of Industrial Engineering (NITIE),Department of Marketing
[3] University of Nicosia,School of Business, Faculty and Research and Professor of Strategic Management
来源
关键词
Data-driven culture; Data driven innovation; Competitive advantage; Firm performance; Product innovation; Process innovation;
D O I
暂无
中图分类号
学科分类号
摘要
Data-driven culture is considered to bring business-oriented cultural transformation to a firm. It is considered to provide substantial dividends to the firms’ product and process innovations. Recently, several firms have been using different advanced technology-embedded business analytics (BA) tools to improve their business performance. Again, advancement of information and communication technology has helped firms to explore the option to use BA tools with artificial intelligence. This has brought radical change in the business-oriented cultural landscape of the firms to arrive at accurate decision-making to improve their innovation and performance. In this perspective, the aim of this study is to show how a firm’s data-driven culture impacts its product and process innovation, which in turn improves its performance and provides better competitive advantage in the current business environment. With the help of background study, a resource-based view model and different theories, a conceptual model has been developed. The conceptual model has been validated with 456 usable responses from the employees of different firms using different business analytics tools. The study highlights that data-driven culture highly influences both product and process innovation, making the firm more competitive in the industry. In this study, leadership support and data-driven culture have been taken as moderators, whereas firm size, firm age and industry type have been taken as control variables.
引用
收藏
页码:601 / 626
页数:25
相关论文
共 50 条
  • [31] Green human resources management, green innovation and circular economy performance: the role of big data analytics and data-driven culture
    Khan, Waqas
    Nisar, Qasim Ali
    Roomi, Muhammad Azam
    Nasir, Sobia
    Awan, Usama
    Rafiq, Muhammad
    JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT, 2024, 67 (10) : 2356 - 2381
  • [32] Digitalisation, data-driven dynamic capabilities and responsible innovation: An empirical study of SMEs in China
    Chen, Yantai
    Li, Jing
    Zhang, Jingwen
    ASIA PACIFIC JOURNAL OF MANAGEMENT, 2022, 41 (3) : 1211 - 1251
  • [33] How does firm diversification impact innovation?
    Orlando, Beatrice
    Renzi, Antonio
    Sancetta, Giuseppe
    Cucari, Nicola
    TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, 2018, 30 (04) : 391 - 404
  • [34] The impact of service innovation on firm performance
    Lin, Lei
    SERVICE INDUSTRIES JOURNAL, 2013, 33 (15-16): : 1599 - 1632
  • [35] Industry diversity and its impact on the innovation performance of firmsAn empirical analysis based on panel data (firm-level)
    Martin Woerter
    Journal of Evolutionary Economics, 2009, 19 : 675 - 700
  • [36] Impact of Practical Skills on Academic Performance: A Data-Driven Analysis
    Rahman, Md. Mostafizer
    Watanobe, Yutaka
    Kiran, Rage Uday
    Thang, Truong Cong
    Paik, Incheon
    IEEE ACCESS, 2021, 9 : 139975 - 139993
  • [37] Data-Driven Innovation through Open Government Data
    Jetzek, Thorhildur
    Avital, Michel
    Bjorn-Andersen, Niels
    JOURNAL OF THEORETICAL AND APPLIED ELECTRONIC COMMERCE RESEARCH, 2014, 9 (02): : 100 - 120
  • [38] How supply chain architecture and product architecture impact firm performance: An empirical examination
    Saeed, Khawaja A.
    Malhotra, Manoj K.
    Abdinnour, Sue
    JOURNAL OF PURCHASING AND SUPPLY MANAGEMENT, 2019, 25 (01) : 40 - 52
  • [39] Data-driven innovation: switching the perspective on Big Data
    Trabucchi, Daniel
    Buganza, Tommaso
    EUROPEAN JOURNAL OF INNOVATION MANAGEMENT, 2019, 22 (01) : 23 - 40
  • [40] Basic Research, Technological Innovation, and Firm Performance:The Empirical Analysis from Huawei Data
    Xiangyu ZHU
    Zhizhen GUO
    Yang YANG
    Journal of Systems Science and Information, 2022, 10 (01) : 84 - 102