Search Conferences

Type in any word, words or author name. This searchs through the abstract title, keywords and abstract text and authors. You may search all conferences or just select one conference.


 All Conferences
 EMAC 2019 Annual Conference
 EMAC 2020 Annual Conference
 EMAC 2020 Regional Conference
 EMAC 2021 Annual Conference
 EMAC 2021 Regional Conference
 EMAC 2022 Annual
 EMAC 2022 Regional Conference
 EMAC 2023 Annual
 EMAC 2023 Regional Conference

EMAC 2021 Annual Conference


The Big Data-Driven Capabilities Model: supporting marketers to deliver marketing growth
(A2021-94712)

Published: May 25, 2021

AUTHORS

Claire Brewis, Coventry University

ABSTRACT

Firms’ operating environments are being transformed as a result of new technologies and the big data they generate. Leveraging value from this data is important for firms’ growth and competitiveness, yet little is known about the capabilities needed to do this effectively. This study identifies the dynamic capabilities developed by firms to use big data to direct their strategic marketing decisions. Insights from 22 senior managers from four, large, established firms were captured, and cross-case analysis was applied. A new conceptual model is developed that identifies the five dynamic capabilities needed to leverage big data to support strategic marketing decisions. The Big Data-Driven Capabilities Model emphasises the central role of reconfiguring capabilities and provides a tool for marketers to transform big data from a resource into better informed strategies for marketing growth.