Exploring dynamic natural-resource-based capabilities for sustainable agri-food chains

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

3 Citations (Scopus)
23 Downloads (Pure)

Abstract

The natural-resource-based-view (NRBV) is positively presented in literature as a competitive approach to sustainable operations. In spite of this the theory has struggled to transition into industry; something which academics attribute to a lack of practical guidance and ill-defined capabilities. The purpose this study is to identify NRBV capabilities. This is done via review of seminal NRBV studies and exploration of a synergistic relationship with SSCM, permitting the identification of potentially relevant capabilities. Dynamic capabilities theory is then applied to categorize the capabilities and further enhance applicability. A qualitative multiple-interview methodological approach is employed to empirically investigate the capabilities within the context of the Scottish agri-food sector.

Original languageEnglish
Title of host publicationSustainable Design and Manufacturing 2016
EditorsRossi Setchi, Robert J. Howlett, Ying Liu, Peter Theobald
Place of PublicationCham, Switzerland
Pages455-465
Number of pages11
DOIs
Publication statusPublished - 5 Jun 2016
Event3rd International Conference on Sustainable Design and Manufacturing, SDM 2016 - Chania, Greece
Duration: 4 Apr 20166 Apr 2016

Publication series

NameSmart Innovation, Systems and Technologies
Volume52
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference3rd International Conference on Sustainable Design and Manufacturing, SDM 2016
CountryGreece
CityChania
Period4/04/166/04/16

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Keywords

  • dynamic capabilities
  • natural resource based view
  • sustainable supply chain management

Cite this

McDougall, N., Wagner, B., & MacBryde, J. (2016). Exploring dynamic natural-resource-based capabilities for sustainable agri-food chains. In R. Setchi, R. J. Howlett, Y. Liu, & P. Theobald (Eds.), Sustainable Design and Manufacturing 2016 (pp. 455-465). (Smart Innovation, Systems and Technologies; Vol. 52). Cham, Switzerland. https://doi.org/10.1007/978-3-319-32098-4_39