Relevant bibliographies by topics / Decision-making capability

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Decision-making capability'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Decision-making capability"

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Millor, J., J. M. Amé, J. Halloy, and J. L. Deneubourg. "Individual discrimination capability and collective decision-making." Journal of Theoretical Biology 239, no. 3 (April 2006): 313–23. http://dx.doi.org/10.1016/j.jtbi.2005.07.020.

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Lizotte, M., C. Nécaille, and C. Lalancette. "3.4.2 Capability engineering for strategic decision making." INCOSE International Symposium 16, no. 1 (July 2006): 472–87. http://dx.doi.org/10.1002/j.2334-5837.2006.tb02758.x.

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Song, Yoonjin. "The Autonomy Capability Model of Medical Decision-Making." Korean Journal of Medical Ethics 20, no. 1 (March 2017): 1–16. http://dx.doi.org/10.35301/ksme.2017.20.1.1.

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MOHRI, Ufo. "Mahjong and Go : Capability Hypothesis and Decision Making." Journal of the Society of Mechanical Engineers 89, no. 806 (1986): 28–30. http://dx.doi.org/10.1299/jsmemag.89.806_28.

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McKenzie, Jane, Christine van Winkelen, and Sindy Grewal. "Developing organisational decision‐making capability: a knowledge manager's guide." Journal of Knowledge Management 15, no. 3 (May 31, 2011): 403–21. http://dx.doi.org/10.1108/13673271111137402.

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Dağsuyu, Cansu, Ulviye Polat, and Ali Kokangül. "Integrated process capability and multi-criteria decision-making approach." Soft Computing 25, no. 10 (March 1, 2021): 7169–80. http://dx.doi.org/10.1007/s00500-021-05681-w.

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Zhang, Ling Ying, Yong Jiang Shi, and Qiang Lu. "Consumer’s Decision-Making Behavior in Online Shopping: An Integrated Analysis." Applied Mechanics and Materials 519-520 (February 2014): 422–29. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.422.

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Taking the Theory of Planned Behavior and the Theory of Perceived Value as theoretical frameworks, this study analyzes what and how perceived capability and perceived value affect consumers decision-making behavior in their online shopping. In particular, the study examines the influence of perceived capability, perceived trust, perceived risk, perceived benefit, perceived cost and perceived value on the decision-making behavior of consumers in B2C e-commerce. The results show that perceived benefit and perceived value have direct significant impact on consumers decision-making behavior, perceived capability, perceived trust and perceived cost have indirect significant impact on consumers decision-making behavior. Moreover, the paper verifies that perceived risk has a weak significant impact on consumers decision-making behavior.
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Wang, Mingyang (Ana), Jenny Gibb, and Paresha N. Sinha. "Entrepreneurial Decision-Making Styles: Developing a Dynamic Intuitive-Analytic Capability." Academy of Management Proceedings 2018, no. 1 (August 2018): 13841. http://dx.doi.org/10.5465/ambpp.2018.13841abstract.

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Quan, Tang, Lin Zhaohang, and Li Huaqiang. "Decision - making of Direct Customers Based on Available Transfer Capability." IOP Conference Series: Materials Science and Engineering 199 (May 2017): 012043. http://dx.doi.org/10.1088/1757-899x/199/1/012043.

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Lindbom, Hanna, Henrik Hassel, Henrik Tehler, and Christian Uhr. "Capability assessments – How to make them useful for decision-making." International Journal of Disaster Risk Reduction 31 (October 2018): 251–59. http://dx.doi.org/10.1016/j.ijdrr.2018.05.009.

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Dissertations / Theses on the topic "Decision-making capability"

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Buckle, Johannes Petrus. "How leadership style and behaviour influence decision making and enhance big data decision-making capability." Diss., University of Pretoria, 2020. http://hdl.handle.net/2263/79619.

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Big data is the proliferation of data from various sources because everything is connected, and this contributes to a rich data trail of customer behaviours and needs, machinery or processes. Leaders are increasingly exploring how to create and extract value from big data by enhancing their organisation’s decision-making capability. Big data is considered to be a valuable, rare, imperfectly imitable, and non-substitutable (VRIN) resource for the organisation and a source of competitive advantage, as described in the resource-based view of the firm. Big data being a VRIN resource is not sufficient in itself to result in higher quality decisions that consequently provide a competitive advantage. Leaders play a vital role in the orchestration of several resources to enable their dynamic capabilities and enhance the organisation’s big data decision-making capability. This research posits that leadership style influences big data decision-making capability and that there is not a single optimal style; leaders rather have to dynamically shift between optimal blends of leadership styles as determined by the context and the specific follower. These optimal blends of leadership styles are made up by a combination of transformational, transactional, and pragmatic leadership styles supplemented with leadership self-identities and contextual leadership. A conceptual model to guide the leaders in which blend of styles to focus on to enhance their big data decision-making capability has been developed during this research. Leaders need to paint an unconstrained picture of a future in which big data driven decisions are used and unite the team to become data-driven. In order to sustain the benefit from big data after the vision has been set, the leader needs to support by utilising execution, relational, and intellectual stimulation skills. This will be supported by aligning leadership style and behaviour to the context and incorporating the community. Consequently, leaders should not aspire to a single leadership style, like transformational leadership, or discourage transactional leadership, but rather acknowledge that a blend of leadership styles is required to enhance big data decision-making capability. Leaders should not be stuck in the world of business intelligence, and machine data, and miss all the benefits that big data could add to their business. Leaders need to start dreaming big where data-driven decisions are concerned and have the courage to take the first step or increase their pace of big data adoption.
Mini Dissertation (MBA)--University of Pretoria, 2020.
pt2021
Gordon Institute of Business Science (GIBS)
MBA
Unrestricted
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Nxumalo, Simphiwe. "Building sense-making dynamic capability through data science: A framework for strategic decision making." Diss., University of Pretoria, 2020. http://hdl.handle.net/2263/79632.

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Leaders have a duty to make decisions that advance the course of their organisations. Cognitive limitations emanating from human bounded rationality, as well as complex external environments, place a limit on a leader’s ability to make quality decisions. This problem becomes pronounced when leaders have to make strategic decisions; which are often irreversible and commit scarce organisational resources. There is, therefore creates a pressing need for organisations to develop capabilities that can aid leaders and their organisation discern their complex environment and improve decision making. This research was an inquiry into the development of dynamic capabilities that would aid sense-making, and decision making. The focal point for this inquiry was the role of Data science in enabling the creation of sense-making capabilities. The study deployed an inductive qualitative methodology suitable for exploring the link between data science-enabled dynamic capabilities, and strategic decision making, as an emerging area of work. Part of this exploration involved reviewing existing literature from both business and academic sources. Data collection from participants ensured the infusion of domain knowledge into this study as augmented by academic literature in order to improve the reliability of the findings.
Mini Dissertation (MBA)--University of Pretoria, 2020.
pt2021
Gordon Institute of Business Science (GIBS)
MBA
Unrestricted
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Griendling, Kelly Ann. "Architect: the architecture-based technology evaluation and capability tradeoff method." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42880.

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The use of architectures for the design, development, and documentation of system-of-systems engineering has become a common practice in recent years. At the same time, acquisition guidance has been recently reformed to move from the bottom-up approach of the Requirements Generation System (RGS) to the top-down approach mandated by the Joint Capabilities Integration and Development System (JCIDS), which requires the use of DoDAF to support acquisition. Defense agencies have had difficulty adjusting to these new policies, and are struggling to determine how to meet new acquisition requirements. This research has developed the Architecture-based Technology Evaluation and Capability Tradeoff (ARCHITECT) Methodology to respond to these challenges and address concerns raised about the defense acquisition process. The methodology integrates existing tools and techniques for systems engineering and system of systems engineering with several new modeling and simulation tools and techniques developed as part of this research to fill gaps noted in prior CBAs. Additional criteria for the methodology were developed by leveraging lessons learned from similar fields, including management science and cognitive psychology. A suppression of enemy air defenses (SEAD) mission is used to demonstrate the application of ARCHITECT and to show the plausibility of the approach. Overall, it is shown that the ARCHITECT methodology results in an improvement over current CBAs in the criteria developed here.
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Lubis, Arief Wibisono. "Exploring the importance of financial literacy within the Capability Approach framework." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/277309.

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This dissertation aims to address the importance of financial literacy within the capability approach framework in the context of microfinance institutions’ clients in Indonesia, by raising four main issues. The first touches on financial capability and specifically focuses on its conceptualisation, predictors, and relationship with quality of life. A participatory method was employed to understand whether financial literacy is viewed as an important element of financial capability. An index of financial capability was built to investigate factors predicting financial capability and the relationship between financial capability and quality of life. The results suggest that socio-demographic discrepancies in financial capability exist, and financial capability is relevant for the improvement of quality of life. The remaining three issues centre on the instrumental value of financial literacy. In the second part, it is proposed that financial literacy is a relevant conversion factor. Within the capability approach literature itself, there is a lack of empirical discussion on conversion factors. It can be concluded that financial literacy is associated positively with conversion rate efficiency. The third research topic examined is the role of financial literacy in household financial decision-making authority. Previous studies have used household decision-making authority as a reflection of agency, which is an important building block of the capability approach. This thesis focuses on financial decision making, which is often perceived as “difficult”, “boring”, and “full of uncertainties”. It is suggested that the relationship between financial literacy and household financial decision-making authority is complex and contingent upon various factors. The role of financial literacy in the relationship between financial decision-making authority and subjective well-being is the last topic investigated in this dissertation. While decision-making authority has been argued as a reflection of human agency and source of power within households, it can also be perceived as a burden. These two interpretations of authority lead to an unclear relationship between household financial decision-making authority and subjective well-being. While a negative relationship between household financial decision-making authority and subjective well-being can be found among those with low levels of financial literacy, a similar correlation is absent among those who score high in financial literacy. This suggests that skills are important for people to value agency.
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Mwanyisa, Fungisayi Patricia. "Exploring community based social mobilisation strategies for the advancement of the right to legal capacity for people with psychosocial disabilities in Zambia." Diss., University of Pretoria, 2017. http://hdl.handle.net/2263/60074.

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The aim of this study is to explore the importance of community based social mobilisation strategies in advancing human rights, in particular, strategies that could be used advance exercise of the right to legal capacity for persons with psychosocial disabilities in the face of societal barriers in the African context. The results of the study are aimed at providing useful and practical considerations in addressing the gap that exist in human rights implementation, between the promises of the law and its impact in reality. To this end, secondary desk top data was collected from existing text on the CRPD, mental illness and social mobilisation strategies. The latter was based on an analysis of the mobilisation strategy employed by Tostan in West Africa to successfully challenge female genital mutilation/cutting. Primary data was obtained through focus groups held in Lusaka and at Nsadzu Mental Health Rehabilitation Centre in Chadiza, in rural Zambia. The significance of legal capacity in Zambia was established and three main categories of concern emerged as barriers to the exercise of legal capacity: a) lack of state and community based supports and social networks; b) inadequate training of health and justice system officials; and c) stigma of mental illness and stereotypes. The benefits of social mobilisation in addressing these barriers are manifold, as demonstrated through the Tostan model.
Mini Dissertation (MPhil)--University of Pretoria, 2017.
Centre for Human Rights
MPhil
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Naeem, Muhammad. "A Holistic Dynamic Decision Making System for Ranking Opportunities in Enterprise Collaboration." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSE2027.

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Dans le contexte de l’industrie 4.0, les entreprises doivent développer et revitaliser leur système de production sur la base d’une numérisation croissante. Les petites et moyennes entreprises (PME) ont besoin d’être accompagnèes dans ce développement, en particulier dans le cadre de leurs relations collaboratives avec leurs partenaires. La mise en place d’infrastructures s’appuyant sur les systèmes d’information et les technologies en place devrait permettre de faciliter les interactions, l’échange et le partage des données et la prise de décision qui en découle. La collaboration dans les entreprises est un processus dynamique et en constante évolution qui est fortement créateur de valeur ajoutée. Des processus collaboratifs maitrisés ont un impact important sur les processus de prise de décision au sein des entreprises. L’une des problématiques majeures liée à la mise en place des processus collaboratifs concerne les différentes technologies utilisées par les PME ainsi que les différentes approches méthodologiques nécessaires pour déployer ces processus métiers et modifier les organisations en place. Du point de vue technique, les travaux de recherche portent principalement sur trois dimensions: l’échange de données, l’analyse des données et l’ingénierie sémantique. Dans le cadre de cette thèse, nous nous intéressons principalement à l’analyse et au traitement des données dans les processus décisionnels collaboratifs. En raison des hiérarchies conceptuelles complexes nous proposons un cadre méthodologique prescriptif collaboratif pour les entreprises en réseau (en anglais : Prescriptive Collaborative Framework for Enterprise Network). Ce cadre méthodologique s’appuie sur une analyse des données massives (Big Data), hétérogènes, structurées et non structurées issues des processus collaboratifs. Analyse qui a pour objectif d’enrichir une base de connaissances du schéma d’ontologie d’aide à la décision. En plus de souligner le rôle de big data et de la modélisation ontologique dans les processus de prise de décision, nous avons défini un ensemble de facilitateurs, «enablers», qui sont configurables et qui jouent le rôle de blocs de base du cadre méthodologique proposé. Ces enablers couvrent différents aspects des processus industriels collaboratifs tels que : la spécification des produits, l’approvisionnement en matières, l’assemblage et la manutention des produits, les capacités de production, la gestion des risques, le contrôle qualité, l’engagement des clients et le Customer Value Lifelong.iiiLe framework proposé est composé d’une base de connaissances, « Base de Connaissances de l’Enterprise Collaborative », qui a été construite sur la base d’une analyse des ressources de l’entreprise en utilisant une modélisation ontologique. Les enablers sont utilisés principalement pour alimenter cette base de connaissances, mais également pour proposer des mécanismes de récapitulation des données sous la forme d’une matrice asymétrique de factorisation (Asymmetric Matrix Factorization) qui se base sur l’analyse des sentiments. Les solutions proposées ont été testées et validées dans le cadre d’une collaboration industrielle impliquant deux partenaires issus du projet européen FP7 FITMAN. Le principal résultat du système proposé réside dans la création de profil de capacités de collaboration en utilisant des données structurées (du système de production) et semi-structurées (métadonnées issues du système de gestion des documents techniques). Pour analyser une opportunité, le modèle de base de connaissances pour la prise de décision proposé fournit une solution auto-adaptative pour l’entreprise collaborative
The enterprises by virtue of their progressive objectives hold a strategic impetus of revitalizing their chain of manufacturing in the array of emerging challenges of value added production. The value added production is coined by the cost effective improvement in product life cycle. Nevertheless, small and medium enterprises are not rich in resources to embrace this objective. However, they find the collaborative network to be the best course of strategic action. The enterprise collaboration has gain much popularity and strength with the inception of digital revolution. This concept has observed a dynamic and evolving phenomenon of value added chain. This phenomenon under the convergence of information technology has placed a remarkable impact on decision-making processes within enterprises. The enterprises are involved in establishing a common window of collaborative network where the principle enterprise decides the synthesis of the incoming opportunity. The decision making at early stage for ranking the potential partner plays a pivoted role in optimized collaborative network. We in this study have obtained the aforementioned objectives by analyzing a vast amount of data and knowledge base. We have shown how the decisionmaking capability can be improved by means of analytics of vast amount of data during enterprise collaboration. Apart from highlighting the stalwart role of big data and ontological modeling in decision-making processes, we have defined enablers namely "Capability Evaluator" (herein CE) which are configurable in their definition. The defined enablers have been show to cover the financial, process and enterprise level scope with diversified classification. They play the role of building blocks in the proposed framework coined by the essence of integrated data management and enterprise collaborative knowledge base. We have defined three ways of obtaining these enablers, descriptive, predictive and prescriptive analysis. These enablers cover the industrial manufacturing aspects such as: Delay, Costing, Resource, Risk, Quality Control, Product Specification (Functional, Technical, General), Process, Raw Material, Product assembly and handling, Production capacity, Customer Engagement and Customer Lifelong Value. The whole of the system has been validated by means of introducing a framework "Prescriptive Collaborative Framework for Enterprise Network"v(herein PCFEN). The framework is logically comprised of a knowledge base namely "Enterprise Collaboration Knowledge Base" (herein ECKB). This knowledge base has been adopted with the prescriptive analysis across enterprise resources using ontological modeling. The enablers are used to populate the flexible knowledge base by which the ECKB enables to provide decision making for the ranking of the projects. The decision making system is also enriched by means of summaries obtained from the free text. Here in this aspect, we introduces a summarization mechanism "Asymmetric Matrix Factorization" (AMF). This component was used to obtain the summaries of variable size and quality. The summaries were used to extract the key concepts by means of sentiment analysis to map the knowledge base. Moreover, we have also modeled the "Composition of Customer Commitment" which is used for the orchestration and synthesis of the project. The outcome of proposed system addressed the individual and collaborative enterprise capability within enterprise network using structured and semi-structured data. The proposed knowledge base decision making model provides a self-adaptive solution for enterprise collaborative services and provides a high level assistance in project ranking
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Allgaier, Benjamin, and Guillaume Cosson. "How do small companies generate and select their ideas? : A Multiple Case Study with a design management perspective." Thesis, Umeå universitet, Företagsekonomi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-56815.

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Companies that want to compete in the actual business environment need to be innovative. The shortening of product life cycles and the increasing competition force the companies to successfully come up with new ideas. In previous research some quantitative studies have been done on small companies using design management, notably in Italy and Spain. Sweden is both known for its small companies and its design. The purpose of the study is to explore design management in small Swedish companies.  This thesis aims to continue exploring the field of design management especially in small companies. We outline the following research questions: “How do small companies using design management generate their ideas?” and “How do small companies using design management select their ideas?”. To find an answer, we reviewed relevant literature concerning this topic and based on this we developed a theoretical frame including our own research platform.  Concerning our methodological approach, we choose the abductive approach since it enables us answering our research questions by extending our theoretical framework for this complex topic. Our research strategy is a qualitative study and our research design is a multiple case study using semi-structured interviews.  Our empirical findings consist of four interviews divided in two sets. The interviews were conducted in London, Gothenburg and Skellefteå. The first set of interviews addressed design management consultancies with the aim to have an overview of how small companies generate and select their ideas. The second set of interviews addressed small companies in Northern Sweden. Our findings are a synthesis of the broad view of the consultants and the case specific views of the small companies’ managers.  From these interviews, we have concluded that the design management knowledge in Swedish small companies varies and is rather rare. Nevertheless, small companies can follow design management principles without knowing the term design management (what we call silent design management). Also, the small companies we have interviewed do not use always their network to innovate but also sometimes innovate to maintain and develop their network, even ending sometimes with a joint venture with external partners. Relationships between external partners and small companies’ representatives are consequently a very important factor while finding and selecting ideas. We have analyzed design as a strategic tool and design management as a way to have a long-term strategy. We have deduced from our interviews that design management can be considered as a dynamic capability, acquired in our cases by a corporate culture or internal processes. The design process seems to be more iterative in small companies because they seem to guess more and less estimate their expected outcomes. However, a clear vision streamlines the design process, especially in small companies using design management.  We gladly recommend further research in this field, to check if the results of our research are generalizable or to look for new research gaps.
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Breytenbach, Andre. "GIS-based land suitability assessment and allocation decision-making in a degraded rural environmen." Thesis, Stellenbosch : University of Stellenbosch, 2011. http://hdl.handle.net/10019.1/16599.

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Thesis (MSc)--University of Stellenbosch, 2006.
ENGLISH ABSTRACT: Rural development problems faced by the impoverished communities in the Transkei, South Africa, are numerous, and environmental degradation has already taken much of its toll. By working at a micro-catchment-level both the socio-economic and biophysical appreciation of the land resources were captured as encapsulated in the concept of resource management domains. Participatory decision-making allowed functional land use goals and evaluation criteria to be incorporated into computerised multi-criteria evaluation and multi-objective land use allocation models in order to reach an idealised or more sustainable land use situation. In the execution of the decision-making process seven procedural steps were followed, which are discussed in detail and applied in the case study. Synthesis of the results emphasised the envisaged rural planning potential of the methods used.
AFRIKAANSE OPSOMMING: In terme van plattelandse ontwikkeling staar talle probleme die behoeftige gemeenskappe van Transkei, Suid-Afrika, in die gesig en omgewingsdegradering neem ongehinderd sy tol. Deur op ‘n mikro-opvangsgebied vlak te werk kon beide die sosio-ekonomiese en biofisiese waarde van die gebied se hulpbronne bepaal word en uitgebeeld word in hulpbron bestuursdomeine. Deur deelnemende besluitneming is funksionele grondgebruiksdoelwitte en evaluasie kriteria gebruik in gerekenariseerde meervoudige kriteria evaluering en veeldoelige grondgebruiksaanwysingsmodelle ten einde die ideale of ‘n meer volhoubare grondgebruik situasie te verkry. Vir die uitvoering van die besluitnemingsproses is van sewe opeenvolgende stappe gebruik gemaak en die uitvoering daarvan word in diepte bespreek in hierdie gevallestudie. Sintese van die resultate het die potensiaal van hierdie beoogde landelike beplanningsmetodes beklemtoon.
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Ghalamchi, Parastoo. "A tri-modal theory of agency." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/13550.

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This study aims to determine the relationship between agency and freedom and it has developed a Tri-Modal Theory of Agency that explains an agent’s decisions with a focus on freedom. Here, based on Berlin’s (1958) ideas we have conceptualised positive and negative sides of freedom with a focus on agency. Meanwhile, agency is defined and measured in three following modes: (A) the conative mode is developed based on Sen’s (2007) capability approach, (B) the cognitive mode is conceptualised based on Weber’s (1993) rationality types and Bakhtin’s (1935) dialogism, and (C) the affective mode is developed based on Weiner’s (2010) attribution theory of emotion. A Tri-Modal Theory of Agency is tested and developed in five empirical studies that include 21 in-depth interviews, two surveys on career choice of 1063 employees and a university major selection of 4086 students in Iran, and finally the theory is applied to one case study that explains an entrepreneur’s agency-freedom relationship after a business failure. In summary, the Tri-Modal Theory of Agency establishes that freedom matters but having agency to give up freedom in pursuit of one’s values ought to be the primary aspiration. This study can be exploited in the field of social psychology, appraisal psychology and organisational behaviour to understand an agent’s decisions in a social context with a focus on her freedom.
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Hinkle, Rachael K. "Does Advocacy Matter? Examining the Impact of Attorney Expertise in Federal Courts." Connect to Online Resource-OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=toledo1196706788.

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Thesis (M.A.)--University of Toledo, 2007.
Typescript. "Submitted as partial fulfillment of the requirements for The Master of Arts in Political Science." "A thesis entitled"--at head of title. Bibliography: leaves 50-55.
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Books on the topic "Decision-making capability"

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Enabling a simulation capability in the organisation. London: Springer, 2008.

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Sharma, Sunil. Relevance of resource based view themes for capability evolution. Ahmedabad: Indian Institute of Management, 2015.

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Bacic, Ivan Luiz Zilli. Demand-driven land evaluation: With case studies in Santa Catarina, Brazil. [Enschede, Netherlands]: Wageningen University, International Institute for Geo-Information Science and Earth Observation, 2003.

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Coast Guard deepwater capability replacement analysis: Hearing before the Subcommittee on Coast Guard and Maritime Transportation of the Committee on Transportation and Infrastructure, House of Representatives, One Hundred Fifth Congress, second session, May 19, 1998. Washington: U.S. G.P.O., 1998.

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A, Kane Rosalie, King Cheryl D, University of Minnesota. Long-Term Care DECISIONS Resource Center., and United States. Administration on Aging., eds. Deciding whether the client can decide: Assessment of decision-making capability. Minneapolis, MN: University of Minnesota Long-Term Care DECISIONS Resource Center, 1990.

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A, Kane Rosalie, King Cheryl D, University of Minnesota. Long-Term Care DECISIONS Resource Center, and United States. Administration on Aging, eds. Deciding whether the client can decide: Assessment of decision-making capability. Minneapolis, MN: University of Minnesota Long-Term Care DECISIONS Resource Center, 1990.

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A, Kane Rosalie, King Cheryl D, University of Minnesota. Long-Term Care DECISIONS Resource Center., and United States. Administration on Aging., eds. Deciding whether the client can decide: Assessment of decision-making capability. Minneapolis, MN: University of Minnesota Long-Term Care DECISIONS Resource Center, 1990.

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Huang, Kuei-Jung. Quality capability self-diagnosis: A multicriteria evaluation approach. 1994.

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Huang, Kuei-Jung. Quality capability self-diagnosis: A multicriteria evaluation approach. 1994.

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Toward Improved Management of Officer Retention: A New Capability for Assessing Policy Options. Rand, 2014.

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Book chapters on the topic "Decision-making capability"

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García, Juan Carlos Castillo, Jesús Everardo Olguín Tiznado, Everardo Inzunza González, Claudia Camargo Wilson, Juan Andrés López Barreras, and Enrique Efren García Guerrero. "Evaluation of the Succession Measures of the Simultaneous Perturbation Stochastic Approximation Algorithm for the Optimization of the Process Capability Index." In Applied Decision-Making, 1–26. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17985-4_1.

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Biggeri, Mario, Caterina Arciprete, and Ravi Karkara. "Children and Youth Participation in Decision-Making and Research Processes." In The Capability Approach, Empowerment and Participation, 193–221. London: Palgrave Macmillan UK, 2019. http://dx.doi.org/10.1057/978-1-137-35230-9_8.

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Clayton, Paul D., T. Allan Pryor, Reed M. Gardner, Peter J. Haug, and Homer R. Warner. "HELP: A Medical Information System with Decision Making Capability." In Medical Informatics Europe 85, 127–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-93295-3_26.

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Naji, Hamid Reza, Hossein Farahmand, and Masoud RashidiNejad. "Decision-Making Model Based on Capability Factors for Embedded Systems." In Communication and Networking, 123–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17604-3_13.

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Abrosimov, Mikhail, and Alexander Brovko. "High Generalization Capability Artificial Neural Network Architecture Based on RBF-Network." In Recent Research in Control Engineering and Decision Making, 67–78. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12072-6_7.

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Banerjee, Soham, Pradeep Kumar Singh, and Jaya Bajpai. "A Comparative Study on Decision-Making Capability Between Human and Artificial Intelligence." In Nature Inspired Computing, 203–10. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6747-1_23.

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Amé, Jean-Marc, Jesus Millor, José Halloy, Grégory Sempo, and Jean-Louis Deneubourg. "Collective Decision-Making Based on Individual Discrimination Capability in Pre-social Insects." In From Animals to Animats 9, 713–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11840541_59.

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Velasco, Diana, and Alejandra Boni. "Expanding Epistemic Capability in Participatory Decision-Making Processes: The Universidad de Ibagué Capabilities List." In Participatory Research, Capabilities and Epistemic Justice, 27–57. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56197-0_2.

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Zhang, Hao-Tian, Kang Chang, Duo Geng, and Cun Dong. "Voltage Online Assessment and Decision-Making Based on POPF with HVDC Transmission Capability and RES Fluctuation Consideration." In Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control, 1003–13. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9779-0_82.

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Frings, Sandra, and Holger Kett. "Towards a Capability Based Approach to Strengthen the Strategic Decision Making Process for Developing Smart Products and Services in SMEs." In Advances in the Human Side of Service Engineering, 189–96. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80840-2_21.

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Conference papers on the topic "Decision-making capability"

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Smith, Earl B. "Adding decision-making capability to robots." In the 48th Annual Southeast Regional Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1900008.1900128.

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Forster, Edwin E., Philip S. Beran, Raymond M. Kolonay, and Ha-Rok Bae. "Investigating Uncertainty in Capability versus Cost Decision-Making." In 17th AIAA Non-Deterministic Approaches Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-0916.

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Lafond, Daniel, Jean-François Gagnon, Sébastien Tremblay, and Michel Lizotte. "IMAGE: A Computer-Aided Cognition Capability for Understanding Complex Systems." In 9th Bi-annual International Conference on Naturalistic Decision Making (NDM9). BCS Learning & Development, 2009. http://dx.doi.org/10.14236/ewic/ndm2009.28.

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Xiao, Angran, Sai Zeng, Janet Allen, Farrokh Mistree, and David Rosen. "Collaborating Multidisciplinary Decision Making Using Game Theory and Design Capability Indices." In 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-5617.

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Qiu, Yuming, Ping Ge, and Joseph F. Junker. "Varying Weights in Multi-Attribute Decision Making." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49350.

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Abstract:
Extreme cases that contain either extremely high or pretty low preference attribute(s) are investigated for multi-attribute decision making problems. Normal cases occur most of the time, and many existing methods have been developed to support the decision making in such scenarios. Extreme cases are possible in real applications, and they are usually present intriguing scenarios because of the potential fuzzy and varying decision criteria. To capture this phenomenon, varying weights are introduced to simulate the change pattern concerning relative importance of attributes, and a uniform framework has been developed to support the decision making mathematically for extreme cases. A real application from Industrial Assessment Center at Oregon State University is used to demonstrate the proposed method, and the result shows its capability of capturing a decision maker’s flexible decision altitudes, and indicates its advantage over existing constant weight methods.
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Koelle, Rainer. "Security Situation Management: Towards Developing a Time-Critical Decision Making Capability for SESAR." In 2014 Ninth International Conference on Availability, Reliability and Security (ARES). IEEE, 2014. http://dx.doi.org/10.1109/ares.2014.80.

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"Simulation design and analysis to support decision making in the management of capability programs." In 23rd International Congress on Modelling and Simulation (MODSIM2019). Modelling and Simulation Society of Australia and New Zealand, 2019. http://dx.doi.org/10.36334/modsim.2019.b7.jusaitis.

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Panella, Isabella. "Artificial Intelligence Methodologies Applicable to Support the Decision-Making Capability on Board Unmanned Aerial Vehicles." In 2008 ECSIS Symposium on Bio-Inspired Learning and Intelligent Systems for Security (BLISS). IEEE, 2008. http://dx.doi.org/10.1109/bliss.2008.14.

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Liu, Chao, Pingyu Jiang, and Wei Cao. "Manufacturing capability match and evaluation for outsourcing decision-making in one-of-a-kind production." In 2014 IEEE 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2014. http://dx.doi.org/10.1109/cscwd.2014.6846908.

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Davis, D. "High throughput satellite (HTS) capability for increasing situational awareness and enabling real time decision making." In Milsatcoms 2015. Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/ic.2015.0082.

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Reports on the topic "Decision-making capability"

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Carmichael, Joshua Daniel. Building a Predictive Capability for Decision-Making that Supports MultiPEM. Office of Scientific and Technical Information (OSTI), November 2017. http://dx.doi.org/10.2172/1409803.

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Dickens, John B., and Dean R. Dukes. Innovative Decentralized Decision-Making Enabling Capability on Mobile Edge Devices. Fort Belvoir, VA: Defense Technical Information Center, September 2015. http://dx.doi.org/10.21236/ad1008918.

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