The Identification of Stakeholders’ Living Contexts in Stakeholder Participation Data: A Semantic, Spatial and Temporal Analysis

Amal Marzouki, Sehl Mellouli and Sylvie Daniel
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Amal Marzouki: Department of Information Systems, Université du Québec à Rimouski, Campus de Lévis 1595 Boulevard Alphonse-Desjardins, Lévis, QC G6V 0A6, Canada
Sehl Mellouli: Department of Information Systems, Université Laval, 2325, rue de la Terrasse, Québec, QC G1V 0A6, Canada
Sylvie Daniel: Department of Geomatics, Université Laval, 1055, Avenue du Séminaire, Québec, QC G1V 0A6, Canada

Land, 2022, vol. 11, issue 6, 1-27

Abstract: Stakeholders’ Participation (SP) aims to involve stakeholders in decision-making processes about significant choices affecting their organizations, cities, or communities. Stakeholders’ participation is maintained through SP processes (SPPs) that may be traditional (e.g., physical assemblies) or online (e.g., online forums). Whether traditional or online, the purpose of SPPs is to collect and analyze data in a way that it would bring a benefit to a given decision-making process. In SPPs, stakeholders try to communicate (a part of) their living contexts, i.e., to present their objectives, daily problems, intentions, and issues they are facing within their environment. A major challenge of decision-makers is then to ensure that the living contexts of stakeholders are considered in SPPs for an effective implementation of project and policies. This paper focuses on the specific issue of the “stakeholders’ living context identification” and attempts to account for how stakeholders implicitly identify their living contexts in their SP comments. Based on a qualitative analysis of SP data from four case studies in two countries, this paper identified a set of semantic, spatial, and temporal patterns allowing to capture the stakeholders’ living contexts in SPPs data. Moreover, a conceptual model emphasizing the importance for decision-makers to capture and understand semantic, spatial, and temporal dimensions in SPPs is proposed.

Keywords: stakeholder participation; stakeholders’ living contexts; semantic data analysis; spatial data analysis; temporal data analysis; place-based knowledge (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
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