Sustainability determinants for food supply chain

developing a qualitative methodology

Norma J. Harrison, Tayyab Waqas Amjed

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

The increasing push for sustainability has opened up new growth avenues for the corporate sector. It has revitalised hopes to expand the customer base and increase market share even during the global recession. The challenge for supply chains is to develop the concept of sustainability and then operationalise it since every country, industry, company and even brand has its specific and unique requisites for procurement, storage, transportation, production and reverse logistics. However, it is difficult to find a generic model that is able to determine the sustainability requirements for all these stages of various supply chains. Concrete research can be done, using content analysis, to develop a 'qualitative methodology' that could help to elicit valid and reliable 'sustainable supply chain constructs' for the food supply chain. This should be able to be adapted to the specifics of any industry, company, country or brand. This paper will discuss the three phases of a proposed qualitative methodology which would help to determine the basic set of sustainability indicators for specific contexts, merging them with different stages of the supply chain, and finally testing them for reliability and validity.
Original languageEnglish
Title of host publicationProceedings of the 8th International Symposium on Sustainable Leadership, 2013
EditorsBronwyn Hughes, Gayle C. Avery
Place of PublicationPymble, NSW
PublisherInstitute for Sustainable Leadership
Pages43-53
Number of pages11
ISBN (Print)9780987461827
Publication statusPublished - 2013
EventInternational Symposium on Sustainable Leadership (8th : 2013) - Nice, France
Duration: 4 Jun 20137 Jun 2013

Conference

ConferenceInternational Symposium on Sustainable Leadership (8th : 2013)
CityNice, France
Period4/06/137/06/13

Keywords

  • Sustainability
  • Content Analysis
  • Food Supply Chain

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