How a BI-wise responsible integrated management system may support food traceability

Maria Gianni, Katerina Gotzamani, Isabelle Linden

Research output: Contribution to journalArticle

Abstract

Food manufacturers are required to meet certain traceability specifications. This research aims at underscoring the relevant needs and expectations of various stakeholders across the entire food supply chain. In this context, firms' decisions on resource allocation and risk mitigation overlap several domains, such as quality, safety, environment, social responsibility and information. Business Intelligence (BI) platforms are specifically conceived to support analytical decision making by providing a centralised view on multiple distributed data sources. However, BI solutions are usually deployed within a single organization, whilst traceability involves multiple actors with potentially divergent interests and diverse levels of willingness to participate. Along this line of thought, integration of management systems within a company and throughout the overall supply chain is suggested to meet the emerging managerial challenges. After a detailed survey of integrated management systems (IMSs) in food traceability contexts, this research proposes a BI-wise solution using the IMS overarching approach and investigates its success conditions.

Original languageEnglish
Article number1
Pages (from-to)1-17
Number of pages17
JournalInternational Journal of Decision Support System Technology
Volume8
Issue number2
DOIs
Publication statusPublished - 1 Apr 2016

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Business Intelligence
Competitive intelligence
Traceability
Supply Chain
Supply chains
Food supply
Food Chain
Resource Allocation
Resource allocation
Overlap
Safety
Decision making
Decision Making
Entire
Specification
Specifications
Line
Industry
Context

Keywords

  • Business Intelligence
  • Food traceability
  • Integrated management system
  • Social responsibility

Cite this

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How a BI-wise responsible integrated management system may support food traceability. / Gianni, Maria; Gotzamani, Katerina; Linden, Isabelle.

In: International Journal of Decision Support System Technology, Vol. 8, No. 2, 1, 01.04.2016, p. 1-17.

Research output: Contribution to journalArticle

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