- Title
- Leveraging big data-based competitiveness in emerging markets: a dynamic capabilities perspective
- Creator
- Mwatha, Andrew G.
- Relation
- University of Newcastle Research Higher Degree Thesis
- Resource Type
- thesis
- Date
- 2021
- Description
- Research Doctorate - Doctor of Business Administration (DBA)
- Description
- Big data is hailed as a pivotal competitive differentiator. Accordingly, firms invest in big data capabilities for managing and appropriating value from big data. However, despite testimonials of success with big data, empirical theory on the mechanisms by which big data creates value remains limited. Drawing on the dynamic capabilities view, this study proposes that, amidst market turbulence, big data capabilities hone the firm’s dynamic capabilities that drive and shape its value creation agenda. The main research question explored is how value creation through emergent, customer-focused business models rests on the firm's big data-mediated dynamic capabilities and the enabling mechanisms. The study argues that firms with strong big data capabilities effectively orchestrate the value targets of marketing, efficiency, and innovation. Data from 24 Kenyan business firms, a proxy for emerging markets contexts, is used for empirical validation through a qualitative, interpretive approach. The results show that big data capabilities strengthen a firm’s sensing, seizing, and transformation capabilities for competitive positioning. This study can help academics and practitioners understand big data's business value proposition from the dynamic capabilities perspective. However, the investigation's primary limitation remains since cross-sectional data is used, and the sampled firms may not be fully representative of the entire Kenyan economy.
- Subject
- big data; big data capabilities; dynamic capabilities; competitiveness; value creation
- Identifier
- http://hdl.handle.net/1959.13/1422456
- Identifier
- uon:37836
- Rights
- Copyright 2021 Andrew G. Mwatha
- Language
- eng
- Full Text
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|---|---|---|---|---|---|---|---|
| View Details Download | ATTACHMENT01 | Thesis | 1 MB | Adobe Acrobat PDF | View Details Download | ||
| View Details Download | ATTACHMENT02 | Abstract | 297 KB | Adobe Acrobat PDF | View Details Download |