Scenario-Based Approaches to Change Management in Fisheries Can Address Challenges With Scale and Support the Implementation of an Ecosystem Approach to Fisheries Management

The Ecosystem Approach to Fisheries (EAF) management, recognising complexity, aims for the holistic, sustainable management of fisheries to promote healthy marine ecosystems and sustainable livelihoods. Effective implementation of the EAF has been problematic as we continue to grapple with issues of scale, knowledge integration and meaningful stakeholder engagement. Scenario-planning approaches in marine social ecological systems (SES) can address some of these challenges. Using systems-thinking, scenario-planning presents the opportunity to address challenges simultaneously at different scales of interaction by addressing the needs at smaller and larger decision-making scales. We here present a prototype scenario-based approach in which we used structured decision-making tools (SDMTs) in an iterative and interactive research process with marginalised stakeholders in a small-scale fishery in South Africa’s southern Cape. Using this approach presented an opportunity for fishers to consider pathways for future responses to change while enhancing personal and local adaptive capacity. At the same time, these marginalised fishers were provided with an important opportunity to freely air their views while engaging with tools new to them. The process did not only benefit fishers, but also provided valuable insights into how they view and experience their marine SES. The use of these tools has provided a means to integrate different knowledge streams, identifying ways in which challenges presented by scale in SES is better addressed. As a next step in the prototype development, expansion to more diverse stakeholders in the biogeographical region relevant for this fishery is recommended. We highlight how this approach can contribute to multi-level governance. When considering EAF implementation, we highlight how engaging marginalised stakeholders need not mean losing the reproducible, transparent processes required for modern management. Lastly, we discuss how multi-scalar flow of information could improve the implementation of an EAF in a developing society, such as that of South Africa.

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Structured Decision Making (SDM)

PsycEXTRA Dataset ◽

10.1037/e606382011-001 ◽

2013 ◽

Keyword(s):

Decision Making ◽

Structured Decision Making

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A study of practice based design research models from knowledge integration perspective

Conference Proceedings of the Academy for Design Innovation Management ◽

10.33114/adim.2017.112 ◽

2019 ◽

Vol 1 (1) ◽

Author(s):

Honghai LI ◽

Jun CAI

Keyword(s):

Knowledge Production ◽

Theoretical Basis ◽

Knowledge Integration ◽

Design Research ◽

Research Process ◽

Two Dimensions ◽

Design Knowledge ◽

Research Projects ◽

Proposed Model ◽

Design Innovation

The transformation of China's design innovation industry has highlighted the importance of design research. The design research process in practice can be regarded as the process of knowledge production. The design 3.0 mode based on knowledge production MODE2 has been shown in the Chinese design innovation industry. On this cognition, this paper establishes a map with two dimensions of how knowledge integration occurs in practice based design research, which are the design knowledge transfer and contextual transformation of design knowledge. We use this map to carry out the analysis of design research cases. Through the analysis, we define four typical practice based design research models from the viewpoint of knowledge integration. This method and the proposed model can provide a theoretical basis and a path for better management design research projects.

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Entscheidungsprozesse beim Übersetzen: Routine und Reflexion bei Novizen und Berufsübersetzern

Fachsprache ◽

10.24989/fs.v32i3-4.1393 ◽

2017 ◽

Vol 32 (3-4) ◽

pp. 100-121

Author(s):

Friederike Prassl

Keyword(s):

Decision Making ◽

Success Rate ◽

Knowledge Integration ◽

Popular Science ◽

Failure Rates ◽

Science Text ◽

Success Rates ◽

Preliminary Results ◽

Decision Making Processes ◽

Cognitive Involvement

This article focuses on the decision-making processes involved in research and knowledge integration in translation processes. First, the relevance of decision taking intranslation is discussed. Second, the psychology of decision making as seen by Jungermann et al. (2005) is introduced, who propose a categorization of decision-making processes intofour types: “routinized”, “stereotype”, “reflected” and “constructed”. This classification is then applied to the translations by five professional translators and five novices of five segments occurring in a popular-science text. The analysis reveals that the decision-making types are distributed differently among students and professional translators, which also has to be seen against the background of whether the decisions made were successful or not. The preliminary results of this study show that students resort to reflected decisions in most cases, but with a low success rate. Professionals achieve a higher success rate when making reflected decisions. As expected, they also make more routinized decisions than students. The professionals’ success rates improve with increasing cognitive involvement, while their failure rates are relatively high when making routinized decisions, an aspect worthwhile considering in translation didactics.

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A Study on Factors Influencing the Decision Making of Small-Scale Land Owner Joint Project - Focused on Partnership Project of Civil Law -

Korea Real Estate Academy ◽

10.31303/krear.2019.77.122 ◽

2019 ◽

Vol 77 ◽

pp. 122-135

Author(s):

Jae Lyang Her ◽

Myeong Hun Lee

Keyword(s):

Decision Making ◽

Civil Law ◽

Small Scale ◽

Joint Project ◽

Factors Influencing

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A Study on the Analytics Tool Used in Decision Making at Small and Medium Enterprise

International Journal of Business Analytics and Intelligence ◽

10.21863/ijbai/2015.3.1.003 ◽

2015 ◽

Vol 3 (1) ◽

Author(s):

Vivek N. Bhatt

Keyword(s):

Decision Making ◽

Business Intelligence ◽

Small And Medium Enterprises ◽

Small Scale ◽

Know How ◽

Decision Making Styles ◽

Routine Basis ◽

Medium Enterprise ◽

Decision Making Processes ◽

Medium Enterprises

The article focuses on the study of prevailing decision making styles of Small Scale Industrial (SSI) Units. It presents data collected from 200 SSI units from Bhavnagar – a coastal city of Gujarat, India. The objective of writing the article is to depict heuristic decision patterns of small and medium enterprises, and the rare use of analytical or statistical business intelligence tools in decision making processes. It would be interesting to study the design of decision taken on routine basis in small units, poorly equipped with technology and technical know-how. The paper is descriptive in terms, and lays a lucid picture of present decision making processes.

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Public Officials’ Knowledge of Advances and Gaps for Implementing the Ecosystem Approach to Fisheries in Chile

Sustainability ◽

10.3390/su13052703 ◽

2021 ◽

Vol 13 (5) ◽

pp. 2703

Author(s):

Rodrigo A. Estévez ◽

Stefan Gelcich

Keyword(s):

Decision Making ◽

Fisheries Management ◽

Cost Effective ◽

Ecosystem Approach ◽

Social Dimensions ◽

Public Officials ◽

Government Officials ◽

Effective Implementation ◽

Mandatory Requirement ◽

Support Decision Making

The United Nations calls on the international community to implement an ecosystem approach to fisheries (EAF) that considers the complex interrelationships between fisheries and marine and coastal ecosystems, including social and economic dimensions. However, countries experience significant national challenges for the application of the EAF. In this article, we used public officials’ knowledge to understand advances, gaps, and priorities for the implementation of the EAF in Chile. For this, we relied on the valuable information held by fisheries managers and government officials to support decision-making. In Chile, the EAF was established as a mandatory requirement for fisheries management in 2013. Key positive aspects include the promotion of fishers’ participation in inter-sectorial Management Committees to administrate fisheries and the regulation of bycatch and trawling on seamounts. Likewise, Scientific Committees formal roles in management allow the participation of scientists by setting catch limits for each fishery. However, important gaps were also identified. Officials highlighted serious difficulties to integrate social dimensions in fisheries management, and low effective coordination among the institutions to implement the EAF. We concluded that establishing clear protocols to systematize and generate formal instances to build upon government officials’ knowledge seems a clear and cost effective way to advance in the effective implementation of the EAF.

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Enhancing the participation of small-scale fishing sector in decision-making: Good practices from Atlantic in EU

Marine Policy ◽

10.1016/j.marpol.2021.104533 ◽

2021 ◽

Vol 129 ◽

pp. 104533

Author(s):

Arantza Murillas-Maza ◽

Antonio García-Allut ◽

Martin Aranda ◽

César Pazos ◽

Ane Iriondo ◽

...

Keyword(s):

Decision Making ◽

Small Scale ◽

Good Practices ◽

Fishing Sector

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A Confrontation Decision-Making Method with Deep Reinforcement Learning and Knowledge Transfer for Multi-Agent System

Symmetry ◽

10.3390/sym12040631 ◽

2020 ◽

Vol 12 (4) ◽

pp. 631

Author(s):

Chunyang Hu

Keyword(s):

Decision Making ◽

Reinforcement Learning ◽

Knowledge Transfer ◽

Large Scale ◽

Effective Control ◽

Small Scale ◽

Learning Agent ◽

Multi Agent ◽

Transfer Method ◽

Parameter Sharing

In this paper, deep reinforcement learning (DRL) and knowledge transfer are used to achieve the effective control of the learning agent for the confrontation in the multi-agent systems. Firstly, a multi-agent Deep Deterministic Policy Gradient (DDPG) algorithm with parameter sharing is proposed to achieve confrontation decision-making of multi-agent. In the process of training, the information of other agents is introduced to the critic network to improve the strategy of confrontation. The parameter sharing mechanism can reduce the loss of experience storage. In the DDPG algorithm, we use four neural networks to generate real-time action and Q-value function respectively and use a momentum mechanism to optimize the training process to accelerate the convergence rate for the neural network. Secondly, this paper introduces an auxiliary controller using a policy-based reinforcement learning (RL) method to achieve the assistant decision-making for the game agent. In addition, an effective reward function is used to help agents balance losses of enemies and our side. Furthermore, this paper also uses the knowledge transfer method to extend the learning model to more complex scenes and improve the generalization of the proposed confrontation model. Two confrontation decision-making experiments are designed to verify the effectiveness of the proposed method. In a small-scale task scenario, the trained agent can successfully learn to fight with the competitors and achieve a good winning rate. For large-scale confrontation scenarios, the knowledge transfer method can gradually improve the decision-making level of the learning agent.

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