scholarly journals The staying power of perceptions in a dynamic system : a longitudinal stakeholder analysis in the Yellowstone River Valley

2021 ◽  
Author(s):  
◽  
Kathryn Kidd
Keyword(s):  
Decision Making ◽  
Stakeholder Analysis ◽  
Large River ◽  
River Valley ◽  
Water Dynamics ◽  
Physical Processes ◽  
Human Environment ◽  
Yellowstone River ◽  
Sustainability Planning ◽  
Floodplain Development

Understanding how stakeholders conceptualize the dynamic environmental systems they live within and act upon is essential for long-term sustainability planning. For shared resource systems where decision making is increasingly democratized, agencies engage stakeholders to document local understandings of physical processes useful for resource management. For a variety of fiscal, logistical, and policy reasons, most studies are snapshots in time with few agencies able to devote resources for longitudinal studies. Yet for large river systems that regularly change with floods, drought, and floodplain development cycles, one-off social studies are unable to respond to such human- environment dynamism. To explore longitudinal human-water dynamics in the Yellowstone River reach in Montana (US), this study uses interviews with 15 individuals interviewed in 2006, 2012, and 2018 field seasons. The Yellowstone River is the largest undammed river in the US. It is located in the arid Western United States, and experiences annual flooding from mountain snowmelt, regular drought cycles, increased water use from floodplain development, irrigation, and recreation. Interviewees had a history of involvement with the Yellowstone River decision making and/or were riverfront landowners each with the capacity to shape the physical features of this system. This study takes a scholarly approach to expressed participant concerns as empirical evidence that reflects the socio-hydrological phenomenon occurring in the Yellowstone River Valley. Analysis of stakeholder accounts of physical processes pay special attention to expressions of how they understand the physical processes (flood, drought, and erosion) and how they express it should be managed. The benefit of engaging the same stakeholders with the same questions in 2006, 2012, and 2018 affords attention to any patterns of change over time concerning stakeholders' descriptions of riverine processes. Ultimately, this study brings clarity to the place-based phenomenon taking place in t Yellowstone River through a longitudinal comparative analysis.

scholarly journals A Stakeholder Analysis for a Water-Energy-Food Nexus Evaluation in an Atlantic Forest Area: Implications for an Integrated Assessment and a Participatory Approach

Water ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1977 ◽  
Author(s):  
Giacomo Melloni ◽  
Ana Turetta ◽  
Michelle Bonatti ◽  
Stefan Sieber
Keyword(s):  
Decision Making ◽  
Resource Management ◽  
Natural Resource Management ◽  
Atlantic Forest ◽  
Natural Resource ◽  
Stakeholder Analysis ◽  
Social Representation ◽  
Snowball Sampling ◽  
Rural Landscapes ◽  
Wide Range

A water-energy-food (WEF) nexus assessment supports natural resource management by providing an integrated framework for evaluation and decision-making. The participation of a wide range of stakeholders is essential for achieving environmental, economic, and social sustainability in this framework. This analysis supports the decision-making process of the nexus assessment by facilitating dialogue between stakeholders in order to achieve long term efficiencies, especially in rural landscapes where most of the services connected to WEF securities are provided. We identify the most relevant stakeholders operating in the connection between agricultural practices and the WEF nexus to stimulate their engagement in the nexus governance. The study area was the Atlantic Forest Reserve of Ribeirão das Lajes, Brazil. A stakeholder analysis, generating qualitative data using snowball sampling interviews was applied and, after the identification of stakeholders, an analytical categorization disclosing potential conflicts among them was performed. We obtained a pool of stakeholders from different organizational types, including a large number of public entities at local and state levels. The main threat to the development of the project is considered to be the lack of communication between the parties. We note that the prior identification of this group of stakeholders facilitates this communication, enhancing social representation in the area. Outcomes of this study demonstrate the relevance of stakeholder analysis in nexus governance for integrated natural resource management.

Stories from an Open Country: Essays on the Yellowstone River Valley

1996 ◽  
Vol 27 (4) ◽  
pp. 526
Author(s):  
Marina Moskowitz ◽  
William L. Lang
Keyword(s):  
River Valley ◽  
Yellowstone River ◽  
Open Country

scholarly journals Visuo-Locomotive Complexity as a Component of Parametric Systems for Architecture Design

2020 ◽  
Author(s):  
Vasiliki Kondyli ◽  
Mehul Bhatt ◽  
Evgenia Spyridonos
Keyword(s):  
Decision Making ◽  
Empirical Study ◽  
Cognitive Performance ◽  
Design Process ◽  
Large Scale ◽  
Environment Interaction ◽  
Human Environment ◽  
Navigation Path ◽  
Interaction Factors ◽  
Parametric Systems

A people-centred approach for designing large-scale built-up spaces necessitates systematic anticipation of user’s embodied visuo-locomotive experience from the viewpoint of human-environment interaction factors pertaining to aspects such as navigation, wayfinding, usability. In this context, we develop a behaviour-based visuo-locomotive complexity model that functions as a key correlate of cognitive performance vis-a-vis internal navigation in built-up spaces. We also demonstrate the model’s implementation and application as a parametric tool for the identification and manipulation of the architectural morphology along a navigation path as per the parameters of the proposed visuospatial complexity model. We present examples based on an empirical study in two healthcare buildings, and showcase the manner in which a dynamic and interactive parametric (complexity) model can promote behaviour-based decision making throughout the design process to maintain desired levels of visuospatial complexity as part of a navigation or wayfinding experience.

scholarly journals Data Driven Decision-Making (DDDM) for Business Leaders post COVID-19 Outbreak: A COSTA-webQDA Technique Proposition at 5th World Conference on Qualitative Research - 20/01/2021

2021 ◽  
Author(s):  
King Costa
Keyword(s):  
Decision Making ◽  
Performance Management ◽  
Stakeholder Analysis ◽  
Business Leaders ◽  
Knowledge Generation ◽  
Data Governance ◽  
Major Step ◽  
Key Dimensions ◽  
Using Data ◽  
Media Applications

Business leaders with an aptitude for using data intelligibly will be able to perform better post COVID-19 outbreak era (McAfee & Brynjolfsson, 2012). Businesses can no longer ignore the role data plays in making crucial decisions about the next major step to be taken, particularly during the time of disaster or facing potential threats resulting from COVID-19 or similar occurrences. Data-informed decision-making will be beneficial to leaders who need to be at the vanguard of knowledge generation within the realm of ideation. COSTA Technique on the webQDA software provides organizations with cutting-edge technology using mix-media applications and web-based strategies to keep up with current trends, insights and multi-perspectival stakeholder analysis in real-time with high levels of efficiency and integrity. This talk will present ideas adapted to the capabilities framework developed by Jia, Hall and Song (2015), addressing five key dimensions in decision-making, such as data governance, data analytics, insights exploitation, performance management and data integration. Using the COSTA Model technique with webQDA, we will present how large volumes of textual data, also known and referred to as “big qualitative data” may be transformed into structured, coherent, meaningful and timely decision-making enablers.

scholarly journals Data Driven Decision-Making (DDDM) For Business Leaders post COVID-19 Outbreak: A COSTA-webQDA Technique Proposition

2021 ◽  
Author(s):  
King Costa
Keyword(s):  
Decision Making ◽  
Performance Management ◽  
Stakeholder Analysis ◽  
Business Leaders ◽  
Knowledge Generation ◽  
Data Governance ◽  
Major Step ◽  
Key Dimensions ◽  
Using Data ◽  
Media Applications

Business leaders with aptitude for using data intelligibly will be able to perform better post COVID-19 outbreak era (McAfee & Brynjolfsson, 2012). Businesses can no longer ignore the role data plays in making crucial decisions about the next major step to be taken, particularly during the time of disaster or facing potential threats resulting from COVID-19 or similar occurrences. Data informed decision-making will be beneficial to leaders who need to be at the vanguard of knowledge generation within the realm of ideation. COSTA Technique on the webQDA software provides organisations with cutting-edge technology using mix-media applications and web-based strategies to keep up with current trends, insights and muti-perspectival stakeholder analysis in real-time with high levels of efficiency and integrity. This paper presents ideas adapted to the capabilities framework developed by Jia, Hall and Song (2015), addressing five key dimensions in decision-making, such as data governance, data analytics, insights exploitation, performance management and data integration. Using the COSTA Model technique with webQDA, we present how large volumes of textual data, also known and referred to as “big qualitative data” may be transformed to structured, coherent, meaningful and timely decision-making enablers.

scholarly journals Stakeholder Analysis and Social Network Analysis in the Decision-Making of Industrial Land Redevelopment in China: The Case of Shanghai

2020 ◽  
Vol 17 (24) ◽  
pp. 9206
Author(s):  
Wendong Wu ◽  
Fang He ◽  
Taozhi Zhuang ◽  
Yuan Yi
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Public Space ◽  
Large Scale ◽  
Social Issues ◽  
Stakeholder Analysis ◽  
Industrial Land ◽  
Land Redevelopment

Currently, many large Chinese cities have entered the postindustrial era, leaving a large amount of vacant, inefficiently utilized industrial land and buildings in the inner cities. Industrial land redevelopment (ILR) can benefit cities in multiple ways, such as by increasing urban public space, improving the quality of life of citizens, and improving the environment, and is considered an effective approach to enhance people’s wellbeing. However, large-scale ILR projects often raise a series of social issues in practice, such as injustice and inequality. To address complex urban issues, ILR requires multifaceted, coordinated, and comprehensive strategies involving multitudinous stakeholders. A profound understanding of diverse stakeholders in the decision-making of ILR is a vital step in enhancing the sustainability of ILR. The aim of this paper is to use Shanghai as a case study to understand the diverse stakeholders and their participation during the decision-making of ILR in China. Interviews and questionnaires were used to collect data. Stakeholder analysis (SA) and social network analysis (SNA) were used as complementary research methodologies in this paper. First, stakeholders who participated in the decision-making of ILR were identified. Then, the characteristics of various stakeholders, including power, interests, and knowledge, were analyzed. Following this, the interactive relationships among stakeholders were explored, and their network structure was examined. Finally, policy recommendations were presented regarding stakeholder participation problems in the decision-making of ILR in China.

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