Department of Business Development and Technology

Transforming business models through big data in the textile industry

Publication: Research - peer-reviewPaper

The extensive stream of work on business models (BM) and business model innovation (BMI) has generated many important insights (Amit & Zott, 2001; Osterwalder, 2004; Markides, 2008, 2013; Chesbrough 2010; Teece, 2010; Zott et al, 2011). Yet, our understanding of business models remains fragmented as stressed by Zott et al. (2011), Weill et al. (2011) and David J. Teece (2010: 174), who states that: “the concept of a business model lacks theoretical grounding in economics or in business studies”. With the acceleration of digitization and use of big data analytics quality data are accessible for the development of new products and services, while at the same time providing opportunities for business model innovation and new managerial approaches (Boyd and Crawford, 2012; Brynjolfsson and McAfee, 2014; Newell and Marabelli, 2015). However, digitization challenges the BMs of many traditional industries, such as textile, and have led to disruption of established business models (Westerman et al., 2014; Weill and Woerner, 2015). Yet, little is known of the managerial process and facilitation of the digital transformation of business models through big data (McAfee and Brynjolfsson, 2012; Markus and Loebbecke, 2013).
Original languageEnglish
Publication yearMar 2017
StateSubmitted - Mar 2017
Event - Potsdam, Germany

Conference

Conference18th CINet conference
LocationUniversity of Potsdam
CountryGermany
CityPotsdam
Period10/09/201712/09/2017
Internet address

See relations at Aarhus University Citationformats

ID: 110969594