Data-driven innovation: switching the perspective on Big Data

被引:113
作者
Trabucchi, Daniel [1 ]
Buganza, Tommaso [2 ]
机构
[1] Politecn Milan, Sch Management, Milan, Italy
[2] Politecn Milan, Sch Management, Leadership & Innovat, Milan, Italy
关键词
Big Data; Internet of Things; Two-sided market; Innovation process; Digital innovation; DIGITAL INNOVATION; INTERNET; MODEL; INTELLIGENCE; COMPETITION; DEFINITION; REVOLUTION; ANALYTICS; FRAMEWORK; INSIGHTS;
D O I
10.1108/EJIM-01-2018-0017
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose The pervasive spread of digital technologies brought an incredible boost in data availability. Companies are dealing with massive amount of data that wait to be exploited. At the same time, scholars are providing different strategies and methods to help companies capture the value embedded in their data to foster innovation and improve the efficiency of existing processes. In these research studies, data are the by-product of something else, and they are a silent asset that needs to be exploited. What if data might be considered the final goal? The paper aims to discuss these issues. Design/methodology/approach The research is based on an exploratory multiple case study analysis, on the basis of three cases used as an illustration for new ideas. In particular, the gathered data are analyzed according to models previously presented in the literature review, building on and expanding them. Findings The research proposes a data-driven approach to innovation, offering a peculiar view of the innovation process. The trigger point is the need of data that let begin the entire development process of a complex system. In this perspective, the application that data are a by-product of the entire innovation process and not the primary output is peculiar since the vast majority of the literature consider data as the by-product of the primary product. Research limitations/implications Future research is needed to assess the replicability of the model outside the mobile app industry and to measure its performances. Nevertheless, this paper provides insights both for scholars and managers, enlarging the discussion on digital innovation and digital business models. Practical implications The results provide a development process to foster innovation relying on the need of data as the trigger point, guiding entrepreneurs and managers in the building process of the entire digital system. Originality/value Previous research studies often considered Big Data (BD) in innovation as a way to enlarge the current product offer or to make the innovation process more effective or efficient; this paper changes the perspective by considering BD as the trigger and the enabler of the entire digital innovation process.
引用
收藏
页码:23 / 40
页数:18
相关论文
共 76 条
[1]  
[Anonymous], 2013, ACM SIGKDD Explorations Newsletter, DOI DOI 10.1145/2481244.2481246
[2]  
[Anonymous], WHAT IS BIG DAT
[3]  
[Anonymous], 2015, FORBES
[4]  
[Anonymous], DAT AG 2025 EV DAT L
[5]   Developing online learning resources: Big data, social networks, and cloud computing to support pervasive knowledge [J].
Anshari, Muhammad ;
Alas, Yabit ;
Guan, Lim Sei .
EDUCATION AND INFORMATION TECHNOLOGIES, 2016, 21 (06) :1663-1677
[6]   Unveiling the intellectual origins of Social Media-based innovation: insights from a bibliometric approach [J].
Appio, Francesco Paolo ;
Martini, Antonella ;
Massa, Silvia ;
Testa, Stefania .
SCIENTOMETRICS, 2016, 108 (01) :355-388
[7]  
Berman Saul J., 2012, Strategy & Leadership, V40, P16, DOI 10.1108/10878571211209314
[8]   The mPower study, Parkinson disease mobile data collected using ResearchKit [J].
Bot, Brian M. ;
Suver, Christine ;
Neto, Elias Chaibub ;
Kellen, Michael ;
Klein, Arno ;
Bare, Christopher ;
Doerr, Megan ;
Pratap, Abhishek ;
Wilbanks, John ;
Dorsey, E. Ray ;
Friend, Stephen H. ;
Trister, Andrew D. .
SCIENTIFIC DATA, 2016, 3
[9]   Competitive advantage through innovation: the case of Nespresso [J].
Brem, Alexander ;
Maier, Maximilian ;
Wimschneider, Christine .
EUROPEAN JOURNAL OF INNOVATION MANAGEMENT, 2016, 19 (01) :133-148
[10]  
Brown B., 2011, Are you ready for the era of "big data"?, V4, P24