{"title":"Beyond the data fads: Impact of big data on contemporary innovation and technology management","authors":"Olga Kokshagina, Pascal Le Masson, Jianxi Luo","doi":"10.1016/j.technovation.2024.103026","DOIUrl":null,"url":null,"abstract":"<div><p>The role of big data as a catalyst for the knowledge-based economy is widely recognized, serving as a backbone for powering algorithms. However, prior work has predominantly focused on the supply side of having the “right” datasets or considering data as a “ready-to-use” asset. This approach has resulted in a limited perspective on how to enable value creation from data. There is a need to transition from viewing data as a “ready-to-use” resource to engaging in the co-design of data-based products and services and explore how data-driven practices impact current business practices and organizations. This is why we invite researchers to delve deeper into data-driven design and management practices. The goal is to move ‘beyond data fads’ to better understand the opportunities unveiled by data and explore what management of data-driven organizations entails. This editorial aims to introduce this viewpoint, outline the articles featured in this special issue, and propose directions for future research. The insights garnered from the special issue highlight the multifaceted role of data in enhancing organizational capabilities, spanning from design thinking and disruptive innovation to supply chain management, as well as the importance of innovation intermediaries and ecosystems.</p></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"134 ","pages":"Article 103026"},"PeriodicalIF":11.1000,"publicationDate":"2024-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technovation","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0166497224000762","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
The role of big data as a catalyst for the knowledge-based economy is widely recognized, serving as a backbone for powering algorithms. However, prior work has predominantly focused on the supply side of having the “right” datasets or considering data as a “ready-to-use” asset. This approach has resulted in a limited perspective on how to enable value creation from data. There is a need to transition from viewing data as a “ready-to-use” resource to engaging in the co-design of data-based products and services and explore how data-driven practices impact current business practices and organizations. This is why we invite researchers to delve deeper into data-driven design and management practices. The goal is to move ‘beyond data fads’ to better understand the opportunities unveiled by data and explore what management of data-driven organizations entails. This editorial aims to introduce this viewpoint, outline the articles featured in this special issue, and propose directions for future research. The insights garnered from the special issue highlight the multifaceted role of data in enhancing organizational capabilities, spanning from design thinking and disruptive innovation to supply chain management, as well as the importance of innovation intermediaries and ecosystems.
期刊介绍:
The interdisciplinary journal Technovation covers various aspects of technological innovation, exploring processes, products, and social impacts. It examines innovation in both process and product realms, including social innovations like regulatory frameworks and non-economic benefits. Topics range from emerging trends and capital for development to managing technology-intensive ventures and innovation in organizations of different sizes. It also discusses organizational structures, investment strategies for science and technology enterprises, and the roles of technological innovators. Additionally, it addresses technology transfer between developing countries and innovation across enterprise, political, and economic systems.