How a glass-processing SME developed its big data competence
Abstract
This chapter demonstrates how Glaston, a glass-processing SME, has overcome the constraints of limited funds and limited technical know-how to develop its big data competence. While describing Glaston's big data journey, the study focuses on three types of dynamic capabilities that have played a crucial role in the building of Glaston's big data competence. First, the combination of market listening and business imagination has enabled Glaston to monitor technological developments in the industry and adapt them to big data use cases that are relevant for the company. Second, open innovation has allowed Glaston to complement internal resources and co-create big data initiatives with external partners. Third, the culture of experimentation has enabled Glaston to build a portfolio of big data initiatives that are tested and piloted prior to full-scale implementation.
Main Authors
Format
Books
Book part
Published
2021
Subjects
Publication in research information system
Publisher
Edward Elgar
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202112226104Käytä tätä linkitykseen.
Parent publication ISBN
978-1-83910-015-4
Review status
Peer reviewed
DOI
https://doi.org/10.4337/9781839100161.00015
Language
English
Is part of publication
Big Data in Small Business : Data-Driven Growth in Small and Medium-Sized Enterprises
Citation
- Mero, J., Karjaluoto, H., & Tammisalo, T. (2021). How a glass-processing SME developed its big data competence. In C. Lund Pedersen, A. Lindgreen, T. Ritter, & T. Ringberg (Eds.), Big Data in Small Business : Data-Driven Growth in Small and Medium-Sized Enterprises (pp. 117-127). Edward Elgar. https://doi.org/10.4337/9781839100161.00015
Copyright© 2021 Edward Elgar