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Creator |
2642a82d43d060ea7cd1f20bf79079d2 |
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Date |
2019-11-15 |
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Is Part Of |
repository |
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issuer |
ext-53322cf2a3949c2280dfd1a15fee67e3 |
| 68186 |
issuer |
ext-81ee806299adf354efc2660c8fa69095 |
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abstract |
The increasing availability of large quantities of digital data (Big Data) and advanced
analytic tools is driving many industries to change their practices. Currently there
are limited theoretically informed, in depth empirical studies of the processes and
activities that needed to leverage Big Data strategically. This research is a response
to calls by international scholars for more in depth and theoretically informed studies
of on Big Data (e.g. Brynjolfsson et al., 2011; McAfee et al., 2012; Wamba et al.,
2015; Braganza et al., 2017; Mikalef et al., 2017).
The study frames Big Data as a new resource and adopts the Resource Based View (RBV)
and the Dynamic Capabilities (DC) perspective in order to explore the enhancement
of existing capabilities and development of new capabilities required to leverage
this new resource. The empirical context of this study is a global pharmaceutical
company. Employing a qualitative in-depth case-study approach, this research investigates
why a Multinational Corporation (MNC) in the pharmaceutical industry adopted Big Data
adoption and how it identified and developed capabilities for this new resource. Data
from 24 in-depth interviews and observations of Europe, the Middle East and Africa
(EMEA) and Global managers in two project teams were analysed and synthesised using
thematic analysis methods.
The findings from this study show that the use of Big Data required new and enhanced
capabilities that were developed through the action of dynamic capabilities, which
operated as mediators between existing capabilities and the new and enhanced capabilities.
Although some elements of these dynamic capabilities were embedded in the organisational
processes, the activities of senior managers played a crucial role in their development
and use. Further, the findings show that the organisation’s cultural transformation
was critical for the operation of the dynamic capabilities identified and the new
and enhanced Big Data capabilities. In the case study company the development of a
Big Data capabilities was found to be an incremental, extended process.
The study makes a number of contributions. It provides an in-depth case study of Big
Data preparation in the specific context of a MNC pharmaceutical company that is of
value to both academics and practitioners. It provides a theoretically based and
empirically validated model of the development of capabilities associated with Big
Data adoption. Finally, it makes a contribution to academic theory by contributing
to the ongoing discussion in the academic literature of the utility of the concept
of Dynamic Capabilities. |
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authorList |
authors |
| 68186 |
degree |
phd |
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status |
unpublished |
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status |
nonPeerReviewed |
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uri |
http://data.open.ac.uk/oro/document/1003890 |
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uri |
http://data.open.ac.uk/oro/document/1003891 |
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uri |
http://data.open.ac.uk/oro/document/1003900 |
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uri |
http://data.open.ac.uk/oro/document/1003901 |
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uri |
http://data.open.ac.uk/oro/document/1003902 |
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uri |
http://data.open.ac.uk/oro/document/1003903 |
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uri |
http://data.open.ac.uk/oro/document/1005727 |
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uri |
http://data.open.ac.uk/oro/document/1005736 |
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uri |
http://data.open.ac.uk/oro/document/1005741 |
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uri |
http://data.open.ac.uk/oro/document/1005754 |
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uri |
http://data.open.ac.uk/oro/document/1035102 |
| 68186 |
type |
Article |
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type |
Thesis |
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label |
Grishikashvili, Ketevani (2019). Capabilities for Big Data: An Empirical Study in
a Global Pharmaceutical Company. PhD thesis The Open University. |
| 68186 |
Title |
Capabilities for Big Data: An Empirical Study in a Global Pharmaceutical Company |
| 68186 |
in dataset |
oro |