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Exploring stakeholder interactions through the lens of complexity theory: lessons from the sugar industry

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  • Cecile Gerwel Proches

  • Shamim Bodhanya

Abstract

The aim of this study is to identify challenges in multi-stakeholder relationships and to provide recommendations on how to manage complexity within these complex systems. The sugar industry under investigation is composed of diverse stakeholders who pursue various objectives, and complexity arises from these multiple interactions. Complexity theory is used here to analyse stakeholder relationships in a mill area in the sugar industry. The qualitative research approach is used. In-depth, semi-structured interviews are conducted with various stakeholder groups who are able to provide insight into the challenges in the mill area—and how these can be addressed. Thematic analysis is used. An analysis of the interactions reveals that stakeholders face overlapping problems, increasing demands, and an uncertain future. Relationships are characterised by a lack of trust and transparency, and are further strained by organisational structures, control and bureaucracy. The study highlights a dire need for cooperation and for a collectivist culture to achieve a competitive edge. It reveals that stakeholder interaction contributes to systemic awareness, shared strategy and expertise, collective learning, and system-wide goals which in turn impacts positively on performance. Important factors which are found to influence stakeholder interaction include the capacity for change, information, transparency, distributed leadership, flexible organisational structures, and the capacity of stakeholders to contribute. This study provides a significant contribution by presenting conceptual models to better understand multi-stakeholder scenarios. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Cecile Gerwel Proches & Shamim Bodhanya, 2015. "Exploring stakeholder interactions through the lens of complexity theory: lessons from the sugar industry," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2507-2525, November.
  • Handle: RePEc:spr:qualqt:v:49:y:2015:i:6:p:2507-2525
    DOI: 10.1007/s11135-014-0124-6
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    References listed on IDEAS

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    1. Paul Cairney, 2012. "Complexity Theory in Political Science and Public Policy," Political Studies Review, Political Studies Association, vol. 10(3), pages 346-358, September.
    2. Li, Gang & Yang, Hongjiao & Sun, Linyan & Ji, Ping & Feng, Lei, 2010. "The evolutionary complexity of complex adaptive supply networks: A simulation and case study," International Journal of Production Economics, Elsevier, vol. 124(2), pages 310-330, April.
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