Page 3 - To share_Farrugia_Dissertation_Summary_

Abstract
The multi-billion-pound wine industry can benefit from the application
of Big Data, Artificial Intelligence and Analytics within the wine industry
life cycle, ranging from vineyard management, agriculture, viticulture,
oenology, wine production, supply chain and sales. It could be argued
that due to the advancement in Big Data, Artificial Intelligence,
analytics and agricultural technology, this reserch is needed to bridge
the gap between the literature findings and the practical application
within the wine industry. This article evaluates current relevant
literature, the respective applications within the wine industry,
highlighting potential gaps and the potential requirements for an
operating model to be applied by the wine industry.

The first objective of this paper is to conduct a literature review about
the current application of Big Data, Artificial Intelligence and Analytics
across the wine industry life cycle. The literature review evaluated a
set of international articles focusing on the application of Big Data,
Artificial Intelligence and Analytics within the wine industry life cycle.
The literature review showed specific applications of Big Data, Artificial
Intelligence and Analytics related tools within the wine industry life
cycle.

The second objective was to apply knowledge gained from the
literature review, compose a set of questions about the application of
Big Data, Artificial Intelligence and Analytics and contact the relevant
stakeholders (from the UK and Italy) to conduct interviews. The author
conducted several interviews with stakeholders in the UK and Italy to
identify the current application of Big Data, Artificial Intelligence and
Analytics within the wine industry life cycle and elicited relevant
information. The author identified justification for such applications
and reasons for not applying such features of the Big Data, Artificial
Intelligence and Analytics.

The third objective was to apply qualitative research method with
structured in-depth interviews to explore the application of Big Data,
Artificial Intelligence and Analytics to get detailed responses.

The fourth objective was to consolidate the findings from interviews
regarding the current application of Big Data, Artificial Intelligence and
Analytics within the wine industry life cycle, identifying the contributory
benefits and applied applications, highlighting any gaps for where Big
Data, Artificial Intelligence and analytics could potentially be applied.
The research showed that the long-established Italian wine industry is
more mature industry than the growing UK wine industry market. The
Italian wine industry is more aware of the application of Big Data,
Artificial Intelligence and Analytics than the UK. However, both the
Italian and the UK wine industry are not fully utilising the Big Data,
Artificial Intelligence and Analytics applications throughout the wine life
cycle. The wine organisations have a multitude of Big Data, Artificial
Intelligence and analytics applications that can be utilised to their
advantage, streamline their operations and improve their efficiency.
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