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Supply Chain Analytics implications for designing Supply Chain Networks: Linking Descriptive Analytics to operational Supply Chain Analytics applications to derive strategic Supply Chain Network Decisions
Jönköping University, Jönköping International Business School, JIBS, Centre of Logistics and Supply Chain Management (CeLS).
Jönköping University, Jönköping International Business School, JIBS, Centre of Logistics and Supply Chain Management (CeLS).
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Today’s dynamic and increasingly competitive market had expanded complexities for global businesses pressuring companies to start leveraging on Big Data solutions in order to sustain the global competitions by becoming more data-driven in managing their supply chains.The main purpose of this study is twofold, 1) to explore the implications of applying analytics designing supply chain networks, 2) to investigate the link between operational and strategic management levels when making strategic decisions using Analytics.Qualitative methods have been applied for this study to gain a greater understanding of the Supply Chain Analytics phenomenon. An inductive approach in form of interviews, was performed in order to gain new empirical data. Fifteen semi-structured interviews were conducted with professional individuals who hold managerial roles such as project managers, consultants, and end-users within the fields of Supply Chain Management and Big Data Analytics. The received empirical information was later analyzed using the thematic analysis method.The main findings in this thesis relatively contradicts with previous studies and existing literature in terms of connotations, definitions and applications of the three main types of Analytics. Furthermore, the findings present new approaches and perspectives that advanced analytics apply on both strategic and operational management levels that are shaping supply chain network designs.

Place, publisher, year, edition, pages
2019. , p. 84
Keywords [en]
Supply Chain Analytics, Big Data, Business Analytics, Descriptive Analytics, Supply Chain Network Design, Logistics & Supply Chain Management, Supply Chain Strategy, Supply Chain Operations
National Category
Business Administration
Identifiers
URN: urn:nbn:se:hj:diva-44120ISRN: JU-IHH-FÖA-2-20190979OAI: oai:DiVA.org:hj-44120DiVA, id: diva2:1320867
Subject / course
JIBS, Business Administration
Supervisors
Examiners
Available from: 2019-07-03 Created: 2019-06-05 Last updated: 2019-07-03Bibliographically approved

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CiteExportLink to record
Permanent link

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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
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  • Other locale
More languages
Output format
  • html
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  • asciidoc
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