Show simple item record

dc.contributor.authorCao, Guangmingen
dc.contributor.authorDuan, Yanqingen
dc.date.accessioned2014-10-21T09:06:35Z
dc.date.available2014-10-21T09:06:35Z
dc.date.issued2014-06
dc.identifier.citationCao, G., Duan, Y. (2014) 'A path model linking business analytics, data-driven culture, and competitive advantage' 22nd European Conference on Information Systems (ECIS) 2014, 8-11, June 2014, Tel Aviv, Israel.en
dc.identifier.urihttp://hdl.handle.net/10547/332972
dc.description.abstractBusiness analytics (BA) has become increasingly important for companies to gain valuable insights from big data and ultimately competitive advantage. However, little empirical evidence exists regarding the mechanisms through which BA impacts on competitive advantage. In light of this paucity, this paper aims to advance our understanding of the impact of BA on competitive advantage. First, this paper provides a BA classification. Second, drawing on contingency theory and the resource-based view, it develops a research model that specifies the paths from BA to competitive advantage. Third, it empirically tests the proposed model using structural equation modelling, offering valuable insights into how different types of BA impact on competitive advantage. Fourth, it systematically tests how resource valu, rarity and inimitability impact on competitive advantage. The findings demonstrate that BA, through the mediation of a data-driven culture, positively impacts on information processing capabilities, which in turn have a positive effect on competitive advantage. The findings also demonstrate that resource valu, rarity and inimitability partially but strongly mediate the impact of information processing capabilities on competitive advantage. Finally, the paper contributes to managers´ knowledge by demonstrating how different types of BA should be implemented to develop information processing capabilities and gain competitive advantage.
dc.language.isoenen
dc.publisherEuropean Conference on Information Systems (ECIS)en
dc.relation.urlhttp://aisel.aisnet.org/ecis2014/proceedings/track04/1/en
dc.titleA path model linking business analytics, data-driven culture, and competitive advantageen
dc.typeConference papers, meetings and proceedingsen
dc.contributor.departmentUniversity of Bedfordshireen
html.description.abstractBusiness analytics (BA) has become increasingly important for companies to gain valuable insights from big data and ultimately competitive advantage. However, little empirical evidence exists regarding the mechanisms through which BA impacts on competitive advantage. In light of this paucity, this paper aims to advance our understanding of the impact of BA on competitive advantage. First, this paper provides a BA classification. Second, drawing on contingency theory and the resource-based view, it develops a research model that specifies the paths from BA to competitive advantage. Third, it empirically tests the proposed model using structural equation modelling, offering valuable insights into how different types of BA impact on competitive advantage. Fourth, it systematically tests how resource valu, rarity and inimitability impact on competitive advantage. The findings demonstrate that BA, through the mediation of a data-driven culture, positively impacts on information processing capabilities, which in turn have a positive effect on competitive advantage. The findings also demonstrate that resource valu, rarity and inimitability partially but strongly mediate the impact of information processing capabilities on competitive advantage. Finally, the paper contributes to managers´ knowledge by demonstrating how different types of BA should be implemented to develop information processing capabilities and gain competitive advantage.


This item appears in the following Collection(s)

Show simple item record