Unveiling the impact of the adoption of digital technologies on firms' innovation performance

被引:343
作者
Usai, A. [1 ]
Fiano, F. [2 ]
Petruzzelli, A. Messeni [3 ]
Paoloni, P. [4 ]
Briamonte, M. Farina [1 ]
Orlando, B. [5 ]
机构
[1] Univ Sassari, Dept Econ & Business, Sassari, Italy
[2] Link Campus Univ, Via Casale S Pio V,44, I-00165 Rome, Italy
[3] Polytech Univ Bari, Dept Mech Math & Management, Sci Coordinator Innovat Management Grp, Via Edoardo Orabona 4, I-70125 Bari, Italy
[4] Univ Rome Sapienza, Dept Law & Econ Product Activities, Via Castro Laurenziano 9, I-00161 Rome, Italy
[5] Univ Ferrara, Dept Econ & Management, Via Voltapaletto,11, I-44121 Ferrara, Italy
关键词
Innovation performance; Digital technologies; Digital transformation; Big Data; 3D; RESEARCH-AND-DEVELOPMENT; KNOWLEDGE MANAGEMENT; INFORMATION-TECHNOLOGY; COMPETITIVE ADVANTAGE; RADICAL INNOVATIONS; EXTERNAL KNOWLEDGE; BUSINESS; TRANSFORMATION; CAPABILITIES; NETWORKS;
D O I
10.1016/j.jbusres.2021.04.035
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study aimed to understand whether the increased use of digital technologies improves innovation performance of firms. Previous studies reveal that the more the firms use digital technologies, the more they can be potentially innovative. However, this is a myth. In fact, one of the main limitations of such studies is their undifferentiated approach toward the vast ocean of digital technologies. Yet, given the increasing pervasiveness of digital technologies at all levels, business and society, a question emerges: how they impact the capability of firms to be innovative? Counter-intuitively, we argue that most frequently used digital technologies have very low impact on innovation performance of firms as innovation is the result of creativity and of constant R&D efforts. By contrast, excess use of digital technologies may even deplete the long-run innovation capability of firms, for instance, by impoverishing the relational capital. We performed two different statistical analysis to understand whether this intuition was grounded and hypotheses would be confirmed. First, we used a principal component analysis to identify the digital technologies that are salient for innovation performance. Second, we conducted a multivariate analysis of variance to understand if the identified technologies predicted innovation performance. All tests were conducted on a largescale sample of firms operating the European Union. The findings confirmed that digital technologies have very low impact on innovation performance, whilst R&D expenses are the most reliable predictor of innovation. These results challenge the false belief that digital technologies improve innovation performance. At a practical level, the results suggest that decision makers should debias themselves from considering digital technologies as the ultimate ingredient for a successful innovative firm, as this may backfire eventually.
引用
收藏
页码:327 / 336
页数:10
相关论文
共 126 条
[1]   Principal component analysis [J].
Abdi, Herve ;
Williams, Lynne J. .
WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS, 2010, 2 (04) :433-459
[2]   Mapping technological capabilities into product markets and competitive advantage: The case of cholesterol drugs [J].
Afuah, A .
STRATEGIC MANAGEMENT JOURNAL, 2002, 23 (02) :171-179
[3]   A Dynamic Collaboration Capability as a Source of Competitive Advantage [J].
Allred, Chad R. ;
Fawcett, Stanley E. ;
Wallin, Cynthia ;
Magnan, Gregory M. .
DECISION SCIENCES, 2011, 42 (01) :129-161
[4]   Implementing open innovation: conceptual design of an integrated ICT platform [J].
Aloini, Davide ;
Farina, Giulia ;
Lazzarotti, Valentina ;
Pellegrini, Luisa .
JOURNAL OF KNOWLEDGE MANAGEMENT, 2017, 21 (06) :1430-1458
[5]  
Andal-Ancion A, 2003, MIT SLOAN MANAGE REV, V44, P34
[6]  
Andriole SJ, 2017, MIT SLOAN MANAGE REV, V58, P20
[7]  
[Anonymous], 2016, The Digital Transformation Playbook: Rethink Your Business for the Digital Age, DOI DOI 10.7312/ROGE17544
[8]  
[Anonymous], 2017, FUT WORKS AUT EMPL P
[9]  
[Anonymous], 2000, DESIGN RULES POWER M
[10]  
[Anonymous], 2006, INT J TECHNOLOGY POL, DOI DOI 10.1504/IJTPM.2006.010070