Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Big Data: A Toll for all Strategic Decisions: A Study of Three Large Food and Beverage Processing Organizations
Jönköping University, Jönköping International Business School, JIBS, Informatics.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

I will look at what impact big data have had on the managerial strategic decisions in the food and beverage industry. This in order to understand the complexity and theory of organizational strategic management, an effort to define the contemporary strategic theory into a holistic conceptual model is done through a literature review on organizational strategy. This literature explicitly proposes four distinctly different types of strategies that management need to consider in the organizational context. Namely, long-term strategy, internal business strategy, external corporate strategy, and competitive strategy.

The study analyzed the food and beverage industry over a decade (2005-2014), where the three of the largest actors in the industry were selected, Nestlé S.A, PepsiCo Inc, and Unilever. The choice of method was content analysis, where three structured categorization matrixes were developed which each analyzed parts of the annual reports.

The study propose the role of big data as a strategic tool for managerial decision from a theoretical standpoint. The content analysis show that hypothesis 1, could be confirmed, big data have an impact on all the proposed four managerial strategic decisions. Second hypothesis could not be confirmed, since decentralization does only occur for one of the organizations, but increased external environment turbulence could be concluded for the industry in general. The third hypothesis could be confirmed, which show that there is an increase in individualization due to increased customer involvement and demand.

The analysis discovered three distinct time periods during the last decade, namely pre- economic instability period (2005-2007), economic instability period (2008-2011) and finally the post-paradigm period (2012-2014). Where the year 2011 was the most turbulent in terms of economy and technology for the industry. The study clearly show that customers are now involved in the production process, customers are co-creators of the products. There is now a two-way communication and increased social responsibility awareness. This study shows that the old traditional approach of looking at markets in order to position yourself to stay competitive are obsolete as this study predicted. customers demand to be a part of the organizational culture. This conclude that big data is an important tool for all strategic managerial decisions. 

Place, publisher, year, edition, pages
2015. , 139 p.
Keyword [en]
Strategy; Internal Strategy; External Strategy; Competitive Strategy; Corporate Strategy; Big Data; Knowledge Based View; (KBV); Resource based view (RBV); External Environment; Internal Environment; Content Analysis; Empirical
National Category
Information Systems, Social aspects Business Administration
Identifiers
URN: urn:nbn:se:hj:diva-28645ISRN: JU-IHH-IKA-2-20150026OAI: oai:DiVA.org:hj-28645DiVA: diva2:882759
Subject / course
IHH, Informatics
Presentation
2015-10-19, B4043, Gjuterigatan 5, Jönköping, 14:50 (English)
Supervisors
Examiners
Available from: 2015-12-21 Created: 2015-12-15 Last updated: 2015-12-21Bibliographically approved

Open Access in DiVA

fulltext(2567 kB)253 downloads
File information
File name FULLTEXT01.pdfFile size 2567 kBChecksum SHA-512
9ad9b6587ecd89a6afa6145cb70f46ed35a857abb2940e39cd1e983a3a761fdee7d8eab79cc56a71038114d5332c1e7fca008d57a6435dea7edd1655681ddbe1
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Arsenovic, Jasenko
By organisation
JIBS, Informatics
Information Systems, Social aspectsBusiness Administration

Search outside of DiVA

GoogleGoogle Scholar
Total: 253 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 423 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf