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Decision-Making: Processes and Perspectives
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Decision-Making: Processes and Perspectives

A special issue of Knowledge (ISSN 2673-9585).

Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 9745

Special Issue Editors

Dr. Francisco Banha

E-Mail Website
Guest Editor
School of Economics, University of Algarve, Estr. da Penha, 8005-139 Faro, Portugal
Interests: entrepreneurship an venture capital; entrepreneurship education; decision-making processes; public policies; implementation; management; strategy; administration; evidence-based policy-making; policy-making
Dr. Adão Flores

E-Mail Website
Guest Editor
CinTurs—Research Centre for Tourism, Sustainability and Well-Being, Faculty of Economics, University of Algarve, Faro, Portugal
Interests: management; tourism management; entrepreneurship; economics; decision-making; strategy and organizational behavior; knowledge networks; qualitative social research; quantitative social research; social theory; sustainability; governance; SMEs
Dr. Luís Serra Coelho

E-Mail Website
Guest Editor
Faculty of Economics, University of Algarve, and Center for Advanced Studies in Management and Economics (CEFAGE), University of Évora, Évora, Portugal
Interests: finance; corporate finance; financial analysis; investment; financial management; financial statement analysis; capital structure; behavioral finance; asset pricing; financial markets; financial economics; quantitative finance

Special Issue Information

Dear Colleagues,

It is our pleasure to announce the opening of a new Special Issue of Knowledge devoted to all issues related to decision making and decision-making processes. Today’s world and society are characterized by an ever-accelerating pace of change and volatility, uncertainty, complexity and ambiguity (VUCA). Economic, geopolitical, managerial, environmental, and societal paradigms are shifting. Thus, methodologies and tools to understand and systematize phenomena and institutional/corporate/governmental decision making should innovate, diversify through interdisciplinarity, and encompass the complexity we are presented with. Indeed, new research is needed for the current context—especially now that practice-based theory development and dialogue between research, policy making and decision making are more facilitated than ever.

The grand challenges of the 21st century concerning sustainability, health, security, and prosperity are being addressed at different institutional levels. However, old questions about decision making and public policy/administration persist in the same way that the VUCA environment and its ramifications throughout societies and economies need to be further studied. This Special Issue welcomes original papers covering a wide range of perspectives on topics related to decision making and the understanding of its processes, dynamics and structures. The main goals are to bring to the fore new ways of systematizing decision making, learn lessons from case studies, revisit and update theoretical frameworks, and learn more about the processes of making individual or collective choices.

The following are some of the topics proposed for this Special Issue (not an exhaustive list):

  • Knowledge and decision-making processes;
  • Analytic frameworks that support and help to understand decision-making processes in corporate, social, political and administrative contexts;
  • The influence of logic, mathematical models and incremental approaches in decision-making processes;
  • The impact of decision making on the achievement of ESG (environmental, social and corporate governance) factors;
  • Green, digital, and sustainable development and decision-making processes;
  • Systemic limitations and decision-making processes;
  • The influence of institutional context (as well as the specific institutions in those ecosystems) in decision-making processes;
  • New insights into historical decision-making processes;
  • New insights into seminal decision-making frameworks, taking into account the VUCA paradigm.

We hope you will contribute your high-quality research, and look forward to reading your valuable results.

Dr. Francisco Banha
Dr. Adão Flores
Dr. Luís Serra Coelho
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Knowledge is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • decision-making processes
  • knowledge
  • VUCA
  • practice-based theory development
  • public policies and administration

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Published Papers (5 papers)

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Research

37 pages, 3329 KiB  
Article
Dynamic Decision Trees
by Joseph Vidal, Spriha Jha, Zhenyuan Liang, Ethan Delgado, Bereket Siraw Deneke and Dennis Shasha
Knowledge 2024, 4(4), 506-542; https://doi.org/10.3390/knowledge4040027 - 16 Oct 2024
Viewed by 817
Abstract
Knowledge comes in various forms: scientific, artistic, legal, and many others. For most non-computer scientists, it is far easier to express their knowledge in text than in programming code. The dynamic decision tree system is a system for supporting the authoring of expertise [...] Read more.
Knowledge comes in various forms: scientific, artistic, legal, and many others. For most non-computer scientists, it is far easier to express their knowledge in text than in programming code. The dynamic decision tree system is a system for supporting the authoring of expertise in text form and navigation via an interface that limits the cognitive load on the reader. Specifically, as the reader answers questions, relevant tree nodes appear and irrelevant ones disappear. Searching by a keyword can help to navigate the tree. Database calls bring in information from external datasets. Links bring in other decision trees as well as websites. This paper describes the reader interface, the authoring interface, the related state-of-the-art work, the implementation, and case studies. Full article
(This article belongs to the Special Issue Decision-Making: Processes and Perspectives)
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19 pages, 2513 KiB  
Article
An Active Approach for Teaching and Learning Electrical Technology
by Carla Terron-Santiago, Jordi Burriel-Valencia, Javier Martinez-Roman and Angel Sapena-Bano
Knowledge 2024, 4(2), 194-212; https://doi.org/10.3390/knowledge4020010 - 9 Apr 2024
Viewed by 1345
Abstract
This contribution describes the change in methodology introduced in the subject of electrical technology within the industrial technologies engineering degree at Escuela Técnica Superior de Ingeniería Industrial, Universitat Politècnica de València. The main purpose of the methodology change was to improve the attainment [...] Read more.
This contribution describes the change in methodology introduced in the subject of electrical technology within the industrial technologies engineering degree at Escuela Técnica Superior de Ingeniería Industrial, Universitat Politècnica de València. The main purpose of the methodology change was to improve the attainment of student outcomes by the introduction of project-based learning supported by flipped teaching. Moreover, a software tool was developed that generates standard exercise statements for the design of electrical installations. Using this tool, students can practice with different problem exercises, enter their solution, and receive immediate feedback on their results, improving the teaching–learning experience. The level of student outcomes attained was improved, and other positive aspects arose from the experience, such as boosting students’ responsibility in their own learning (learn to learn), their ability to solve problems, and students’ motivation. Furthermore, the instructors’ opinions on the methodology change were highly positive. Full article
(This article belongs to the Special Issue Decision-Making: Processes and Perspectives)
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23 pages, 3103 KiB  
Article
Value Perception Analysis in the Brazilian Company of Research and Industrial Innovation
by Isabela Evora Moreira, Diego de Castro Fettermann and Viviane Vasconcellos Ferreira Grubisic
Knowledge 2024, 4(2), 171-193; https://doi.org/10.3390/knowledge4020009 - 4 Apr 2024
Viewed by 1380
Abstract
This study aims to analyze the perceived value of services provided by the Brazilian Company of Research and Industrial Innovation (EMBRAPII) to its contracting ministries and institutional partners. It utilizes the theory of value perception analysis and Constructivist Multi-criteria Decision Analysis to identify [...] Read more.
This study aims to analyze the perceived value of services provided by the Brazilian Company of Research and Industrial Innovation (EMBRAPII) to its contracting ministries and institutional partners. It utilizes the theory of value perception analysis and Constructivist Multi-criteria Decision Analysis to identify critical elements for evaluating EMBRAPII’s contracting organizations. Brainstorming sessions with experts led to the identification of five criteria and 14 sub-criteria. These criteria include a relationship with EMBRAPII, a signed agreement, EMBRAPII’s reputation, technical capacity, and the ability to adapt to changes. Data were entered into the second version of the MyMCDA-C software for value perception analysis. The findings showed a positive perceived value, with the best-performing sub-criteria relating to the organization’s reputation and the agreement signed. The study concludes that EMBRAPII needs to improve in areas such as adapting to change, the adequacy of its proposals for distinct types of partnership, and social media positioning. However, the contracting organizations generally support EMBRAPII’s direction and proposed solutions. Full article
(This article belongs to the Special Issue Decision-Making: Processes and Perspectives)
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16 pages, 4660 KiB  
Article
Enhancing Landfill Monitoring and Assessment: A Proposal Combining GIS-Based Analytic Hierarchy Processes and Fuzzy Artificial Intelligence
by Anna Isabel Silva Loureiro, Adriano Bressane, Victor Fernandez Nascimento, José Victor Orlandi Simões and Rogério Galante Negri
Knowledge 2023, 3(4), 610-625; https://doi.org/10.3390/knowledge3040038 - 20 Oct 2023
Cited by 1 | Viewed by 2060
Abstract
The global surge in urbanization and population growth has led to a significant increase in municipal solid waste generation, posing a considerable challenge in identifying suitable landfill sites. This study proposes a novel framework that enhances landfill site monitoring and assessment by combining [...] Read more.
The global surge in urbanization and population growth has led to a significant increase in municipal solid waste generation, posing a considerable challenge in identifying suitable landfill sites. This study proposes a novel framework that enhances landfill site monitoring and assessment by combining GIS-based hierarchical analytical processes with a fuzzy inference system (FIS). The study employs a systematic approach involving phases such as feature selection, spatial analysis, criteria weighting, FIS building, and a case study conducted in São Paulo State, Brazil. The proposed framework effectively assesses landfill suitability and offers practical recommendations for landfill management and future site selection. This framework provides actionable recommendations for landfill monitoring and assessment, supporting landfill management while minimizing environmental and social impacts. It offers a comprehensive approach to landfill assessment, enhancing the sustainability of waste management practices. Further research can improve the proposed framework by refining feature selection and incorporating real-time data for continuous monitoring. Additionally, exploring the integration of emerging technologies, such as remote sensing and artificial intelligence, can further enhance landfill site monitoring and assessment. Full article
(This article belongs to the Special Issue Decision-Making: Processes and Perspectives)
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16 pages, 1164 KiB  
Article
Technology Transfer Offices and Their Role with Information Mechanisms for Innovation Performance in Firms: The Case of Ghana
by Abdul-Fatahi Abdulai, Lyndon Murphy, Andrew Thomas and Brychan Thomas
Knowledge 2022, 2(4), 719-734; https://doi.org/10.3390/knowledge2040041 - 12 Dec 2022
Cited by 1 | Viewed by 2862
Abstract
Research into formal and informal technology transfer between universities and industry in economical developed counties is well-documented. However, such studies are limited in number in developing economies. In the context of developing economies, this study analyses technology transfer offices’ role in university technology [...] Read more.
Research into formal and informal technology transfer between universities and industry in economical developed counties is well-documented. However, such studies are limited in number in developing economies. In the context of developing economies, this study analyses technology transfer offices’ role in university technology transfer to Ghanaian firms. We incorporate informal mechanisms as a moderating variable to explore the role of human interaction in the technology transfer value chain. In a cross-sectional survey in Ghana, using structural equation modelling with 245 firms, our research finds a negative moderating effect of informal mechanisms on the effect of technology transfer offices on innovation performance in firms. The findings are of significance to universities and corporate bodies in economically developing nations such as Ghana. Policies to improve the effect of informal mechanisms of university technology transfer offices are proposed in developing economies. Full article
(This article belongs to the Special Issue Decision-Making: Processes and Perspectives)
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