Decision Theory Research Articles

A theory of oral healthcare decision-making in Appalachia.

People make oral healthcare decisions regardless of having partial information, misinformation, sources that deliberately mislead, or information that is culturally influenced. This is particularly true in the Appalachian culture where oral healthcare decision-making practices are not well understood by researchers and dental professionals. Despite efforts to improve dental care utilization, the Appalachia region remains low in oral healthcare utilization. There is a need for a theory to identify concepts in decision-making when seeking oral healthcare. The theory could be useful in creating oral health interventions. The study objective is to develop a theory to identify concepts that influence oral healthcare decision-making in Appalachia (OHDA). The researchers used a grounded theory qualitative study design to explain data for a theory of OHDA. Participants from Appalachia, in 20-minute interviews, provided insights into concepts that influence OHDA from August 22, 2017 to May 26, 2022. Notes/memos were written during and after the interviews and coding was conducted after the interviews. Open coding categories emerged through constant comparison of responses. Five overarching concepts that embody OHDA were discovered: Affect (Level of Pain/Emotion/Stress involvement), Awareness, Trust/belief, Resources, and Risk Perception. All participants discussed the impact of social media toward these concepts. To influence a person's OHDA, public health officials and researchers need to address the person's affect, level of awareness, trust/belief, available resources, and risk perception. Social media is very important in awareness concerning oral health information. These factors are important to consider for similar research in oral healthcare utilization at the population level.

Ellsberg 1961: text, context, influence

AbstractIn 1961 Daniel Ellsberg published an article titled “Risk, Ambiguity, and the Savage Axioms” in the Quarterly Journal of Economics, which became a seminal contribution to the theory of decision-making under uncertainty. This paper analyzes Ellsberg’s 1961 classic, situates it within the context of decision-making theory in the 1950s and early 1960s and within the development of Ellsberg’s ideas, and provides an overview of the experimental and theoretical literature to which it gave rise.

Motivation of Financial Decision-Making in the Era of Mass Media: An Interpretation of the Influence of Media Discourse on Credit Suisse Group Customer Behavior

This paper aims to interpret the media's influence on customer behavior within the Credit Suisse Group from the vantage point of social psychology, elucidating the underlying drivers of financial decision-making in the age of mass media. Through an analysis encompassing the relationship between financial decision-making and social psychology theories, the distinctive features characterizing Credit Suisse Group's customer behavior, and the impact of media discourse on customer conduct, this study delves into the role of social cognition in shaping customer behavior as well as the affective ramifications of media discourse on customers. The findings underscore the pivotal roles of social cognition and media discourse in financial decision-making. This study holds significant theoretical implications and practical relevance for comprehending the impetuses behind financial decisions and the sway of mass media on customer behavior.

Influence of Purchase Decision for An Advanced Production Digital Platform Adoption Process in The Coal Industry: The Investigation Using Pls-Sem Analysis

In 2022, the coal-producing sector faced unusual difficulties, which were paralleled by a significant rise in global pricing. The business is too complex for the the most advanced technologies, especially when it comes to figuring out the best blend scenarios. This calls for a comprehensive approach that combines modern technology with careful consideration to support companies in surviving in a competitive and unpredictable commercial environment. Over the past few years, industries have been seeking technological advancement in an effort to improve operating procedures and efficiency, but these innovations still face challenges in being broadly accepted and adopted. In order to determine the primary characteristics that most significantly promote technology adoption, this study combines the Unified Theory of Acceptance and Use of Technology (UTAUT) with purchasing decision theory. The main tool used to collect data is structured questionnaires, which are given to respondents who fulfill predetermined requirements. The replies are gathered, and the SmartPLS 4.0.9.9 software is used to handle them. According to the study, behavioral intention and behavior manner use are not significantly mediated by unanticipated situational events or other people’s attitudes that align with purchase decision theory. Additionally, users’ use of behavior to adopt digital production platforms in the coal mine business is positively impacted by behavioral intention. Policymakers could consider encouraging all staff members on a regular basis to help them develop a positive mindset, which will enhance their usage behavior.

Analisis Pengambilan Keputusan Pada Reformasi Sistematika Rekapitulasi Suara Pemilu 2024

This study analyzes the decision-making process regarding the policy of using the Sirekap application in the 2024 election vote recapitulation process using George R. Terry's rational decision-making theory with indicators of problem clarity, goal orientation, cognitive knowledge, clear preferences, and maximum results. The method used is a literature review by mapping the problem using Fishbone Diagram Analysis. The analysis identified root causes such as complex and manual election processes, infrastructure budget requirements, lack of supervision, and inefficient manual recapitulation. Recommendations include simplifying regulations, mapping areas with limited access, strengthening regulations related to the principles of election technology, and involving supervisory institutions. The use of Sirekap is expected to increase the speed, accuracy and transparency of the recapitulation process to maintain the credibility of election results.

Research on Multi-Stage Post-Occupancy Evaluation Framework of Community Comprehensive Elderly Care Service Facilities under the Public-Private Partnership Mode—A Case Study of China

The key to whether elderly individuals in the community can enjoy their later years peacefully lies in the service capabilities of community comprehensive elderly care service facilities (CCECSF) under the Public-Private Partnership (PPP) mode. To maintain a high level of service capability in community comprehensive elderly care service facilities under PPP mode, scientific evaluation of the effectiveness of these facilities is equally crucial. This article first constructs a post-occupancy evaluation index system of community comprehensive elderly care service facilities under PPP mode that includes three evaluation attributes and fifteen evaluation criteria based on the Chinese culture and lifestyle habits. Regarding the issue of direct users being unable to directly participate in evaluations, the uncertainty in evaluation information, and the volatility of evaluation results, a multi-stage post-occupancy evaluation model is constructed based on probabilistic linguistic term set, TOPSIS model and multi-stage decision theory. The above post-occupancy evaluation index system and evaluation model together constitute a multi-stage post-occupancy evaluation framework for community comprehensive elderly care service facilities under PPP mode. The outcomes of the case study indicate that the post-occupancy evaluation index system can offer a scientifically guided approach for evaluating the service level of community comprehensive elderly care service facilities under the PPP mode; meanwhile, the multi-stage evaluation model can enable direct user participation in the post-evaluation of facility usage and improve the robustness and reduce the fluctuation of the evaluation results, so as to improve the scientificity of the evaluation results.

Analysis of Teacher Inclusion in Decision-Making Processes in Public Basic Schools in the Ho West District

This study sought to analyze teacher inclusion in decision-making processes in public basic schools in the Ho West District of the Volta Region. Drawing on Charles et al.'s (1997) shared decision-making theory, the research employed a quantitative approach and utilized the descriptive survey design. The sample included 450 public school teachers selected through stratified random sampling. Data were collected using questionnaires with a Cronbach's Alpha coefficient of 0.85 and analyzed using mean, standard deviation, and independent samples t-test. Results indicated that teachers were actively involved in providing input on resources and participating in professional development, but their engagement was less prominent in areas such as staff hiring and decision- making related to school improvement initiatives. Factors influencing teacher inclusion included the school administration's recognition of teacher input, clarity in communication, time constraints, and leadership support. Based on these findings, recommendations were suggested to enhance communication channels, ensure transparency, and establish structured mechanisms for teacher involvement in decision-making.

Research on the Driving Factors for the Application of Energy Performance Contracting in Public Institutions

Building energy efficiency in public institutions is crucial for achieving energy conservation and emissions reduction goals. The application of energy performance contracting (EPC) can effectively reduce energy consumption in these buildings and promote the development of the energy-saving service industry. However, there is a lack of initiative among public institutions to adopt EPC. This study aims to investigate the factors that drive the intention and behavior of public institutions to apply EPC and enhance their proactive engagement in building energy efficiency retrofitting. By considering the current status of EPC application in public institutions and drawing on relevant decision-making and behavioral theories, this paper identifies the key factors that drive the intention and behavior of public institutions, and constructs a theoretical model of the intentional and behavioral driving factors. In the empirical testing phase, research data are collected through online questionnaires. Structural equation modeling is employed to validate and analyze the extent of the driving factors and their interrelationships. The key findings are that (1) perceived usefulness, trust, and perceived risk significantly drive the behavior intention of public institutions to apply EPC; (2) perceived behavioral control and perceived ease of use significantly positively drive the behavior of public institutions, with behavior intention being the most influential factor; and (3) policy system and organizational support play a significant moderating role in the process from intention to behavior. Based on these findings, this paper proposes the critical tasks and suggests countermeasures for stakeholders in EPC projects.

The Impact of Content Marketing in an E-Commerce Live Shopping Program on Consumer’s Purchasing Decision (Research on Tokopedia Play’s In-House Live Shopping Program: Night Deals)

The rise of technology advancement has led to many aspects of life becoming digitized. One of the aspects of life that has been digitized and also reformed through innovation is shopping in the form of Live shopping. Various e-commerce such as Tokopedia, is now utilizing this as their content marketing strategy to gain more attraction and purchase from its users. This study would like to research on the impact of Tokopedia Play Night Deal’s Content Marketing towards a consumer’s purchasing decision. Based on content marketing and purchasing decision theories, this research use quantitative approach. The independent variable in this study is content marketing and the dependent variable is purchasing decision. This study utilizes 102 samples from the greater Jakarta area (JABODETABEK). This research utilizes a simple linear regression analysis. The result of this research is that content marketing has a significant impact towards a consumer’s purchasing decision.

Foundations for Knowledge-Based Decision Theories

Several philosophers have proposed Knowledge-Based Decision Theories (KDTs)—theories that require agents to maximize expected utility as yielded by utility and probability functions that depend on the agent’s knowledge. Proponents of KDTs argue that such theories are motivated by Knowledge-Reasons norms that require agents to act only on reasons that they know. However, no formal derivation of KDTs from Knowledge-Reasons norms has been suggested, and it is not clear how such norms justify the particular ways in which KDTs relate knowledge and rational action. In this paper, I suggest a new axiomatic method for justifying KDTs and providing them with stronger normative foundations. I argue that such theories may be derived from constraints on the relation between knowledge and preference, and that these constraints may be evaluated relative to intuitions regarding practical reasoning. To demonstrate this, I offer a representation theorem for a KDT proposed by Hawthorne and Stanley (2008) and briefly evaluate it through its underlying axioms.

Applying Generative Artificial Intelligence to cognitive models of decision making.

Generative Artificial Intelligence has made significant impacts in many fields, including computational cognitive modeling of decision making, although these applications have not yet been theoretically related to each other. This work introduces a categorization of applications of Generative Artificial Intelligence to cognitive models of decision making. This categorization is used to compare the existing literature and to provide insight into the design of an ablation study to evaluate our proposed model in three experimental paradigms. These experiments used for model comparison involve modeling human learning and decision making based on both visual information and natural language, in tasks that vary in realism and complexity. This comparison of applications takes as its basis Instance-Based Learning Theory, a theory of experiential decision making from which many models have emerged and been applied to a variety of domains and applications. The best performing model from the ablation we performed used a generative model to both create memory representations as well as predict participant actions. The results of this comparison demonstrates the importance of generative models in both forming memories and predicting actions in decision-modeling research. In this work, we present a model that integrates generative and cognitive models, using a variety of stimuli, applications, and training methods. These results can provide guidelines for cognitive modelers and decision making researchers interested in integrating Generative AI into their methods.

Evaluations are inherently comparative, but are compared to what?

Understanding how objective quantities are translated into subjective evaluations has long been of interest to social scientists, medical professionals, and policymakers with an interest in how people process and act on quantitative information. The theory of decision by sampling proposes a comparative procedure: Values seem larger or smaller based on how they rank in a comparison set, the decision sample. But what values are included in this decision sample? We identify and test four mechanistic accounts, each suggesting that how previously encountered attribute values are processed determines whether they linger in the sample to guide the subjective interpretation, and thus the influence, of newly encountered values. Testing our ideas through studies of loss aversion, delay discounting, and vaccine hesitancy, we find strongest support for one account: Quantities need to be subjectively evaluated-rather than merely encountered-for them to enter the decision sample, alter the subjective interpretation of other values, and then guide decision making. Discussion focuses on how the present findings inform understanding of the nature of the decision sample and identify new research directions for the longstanding question of how comparison standards influence decision making. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Pengaruh Content Marketing dan Online Customer Review pada Media Instagram terhadap Keputusan Pembelian di Krav.ery

Krav.ery is a custom cake business that was founded in June 2020, during the Covid-19 pandemic. Krav.ery uses Instagram social media in marketing their products and services, by uploading interesting and consistent content. The increased use of Instagram as a marketing medium can also be seen from the creativity of businesses in producing interesting content that is relevant to the pandemic situation. Because of that, many do s of Krav.ery's products and services through the content they upload. This has made Krav.ery experience an increase in sales during the pandemic until now, because the Content Marketing and s found on Krav.ery have increased customer purchasing decisions.Theories used to support this research are content marketing theory, online customer review theory, and purchasing decision theory. In this study, content marketing and online customer review as independent variables and purchasing decisions as the dependent variable. The objects of this research are content marketing, online customer review, and purchasing decisions on purchasing decisions at Krav.ery. The data collection technique used in this study is a communication technique by distributing questionnaires electronically via Google Forms to 105 respondents. The sampling technique used is a non-probability sampling technique with a judgment sampling approach. The procedure used for model testing and data processing is using the SBM SPSS Statistic 20 software. The results obtained from the data analysis test in this study indicate that variables X1 (content marketing) and X2 (s) affect variable Y (purchasing decisions), namely that there is a positive influence between content marketing and online customer review on consumer purchasing decisions at Krav.ery This is shown by the results of research on visual communication variables influencing purchase intention variables. The conclusion of this study is to test 105 respondents who have purchased and consumed products from Krav.ery, stating that there is a positive influence of content marketing and online customer review on Krav.ery on purchasing decisions at Krav.ery

Dissecting Bayes: Using influence measures to test normative use of probability density information derived from a sample.

Bayesian decision theory (BDT) is frequently used to model normative performance in perceptual, motor, and cognitive decision tasks where the possible outcomes of actions are associated with rewards or penalties. The resulting normative models specify how decision makers should encode and combine information about uncertainty and value-step by step-in order to maximize their expected reward. When prior, likelihood, and posterior are probabilities, the Bayesian computation requires only simple arithmetic operations: addition, etc. We focus on visual cognitive tasks where Bayesian computations are carried out not on probabilities but on (1) probability density functions and (2) these probability density functions are derived from samples. We break the BDT model into a series of computations and test human ability to carry out each of these computations in isolation. We test three necessary properties of normative use of pdf information derived from a sample-accuracy, additivity and influence. Influence measures allow us to assess how much weight each point in the sample is assigned in making decisions and allow us to compare normative use (weighting) of samples to actual, point by point. We find that human decision makers violate accuracy and additivity systematically but that the cost of failure in accuracy or additivity would be minor in common decision tasks. However, a comparison of measured influence for each sample point with normative influence measures demonstrates that the individual's use of sample information is markedly different from the predictions of BDT. We will show that the normative BDT model takes into account the geometric symmetries of the pdf while the human decision maker does not. An alternative model basing decisions on a single extreme sample point provided a better account for participants' data than the normative BDT model.

Rock pressure evaluation in coal face based on multi-factor decision-making theory

The behavior of rock pressure is a natural and inevitable phenomenon during coal seam mining, resulting in numerous casualties and equipment damage annually. The ability to predict and assess the strength of rock pressure in the coal face beforehand has become crucial in preventing rock pressure accidents. This paper took the prediction of rock pressure strength in coal face as the research object, and based on the multi-factor decision-making theory, proposed a new method for the evaluation of rock pressure strength in coal face—"dual-dimension rock pressure strength evaluation method". Initially, the rock pressure strength index IA was obtained through the application of the law of sedimentary pressure control and microseismic monitoring data. The drilling data at the exploration scale served as references. Then, based on the rock pressure control mechanism, the rock pressure strength index IB was obtained by utilizing a type of Euclidean distance formula at the coal face scale. Finally, in order to mutually correct the two rock pressure strength indices, the rock pressure strength grade matrix was employed to acquire the rock pressure strength grade of the coal face. Applying this evaluation method to the coal face, the prediction outcomes aligned with the actual situation. Therefore, this method can provide a theoretical reference for the prediction of rock pressure strength and the prevention of rock pressure accidents in alternative areas.

THE ESSENCE AND CLASSIFICATION OF MANAGEMENT DECISIONS: THEORETICAL AND METHODOLOGICAL ASPECT

The decision-making process plays a crucial role in the management of any business and is a critical factor in its success and stable development. This process not only requires managers to be familiar with the latest methods and approaches to decision-making, but also requires a thorough analysis of the available information to provide an objective basis for selecting the most optimal solution. Management decisions made on the basis of a detailed study of factual data, the use of proven methods and the consideration of one's own experience in the field significantly increase the company's chances of success. The effectiveness of such decisions has a direct impact on the coherence and productivity of the company, transforming it into a well-established organisational mechanism capable of achieving set goals and adapting to changing external conditions. However, the key to improving management efficiency does not lie solely in the application of technical knowledge or data. It is also important for managers to understand the deeper meaning of the term "management decision". Such an understanding contributes to making decisions that are not only technically justified, but also morally justified, taking into account the broader context of the company's activities. The article examines the concept of "management decision", which is considered to be the most important element of any manager's activity. The authors reveal the essence of a managerial decision as a process and a result, which involves choosing an alternative course of action aimed at achieving the company's strategic goals. The subject of the study is a managerial decision as a process and result of a choice made by managers within their powers. The research methodology includes analysis of scientific literature, synthesis and generalisation of the results obtained, systematisation and classification of managerial decisions according to various criteria, as well as identification and description of the main criteria for making managerial decisions. The purpose of the publication is to reveal the concept of "managerial decision", to study its essence, classification and criteria for making it. The article defines the concept of "managerial decision" as a process and result of a choice between possible alternatives made by managers within the limits of their official powers and competences. This choice is aimed at achieving specific goals of the enterprise and solving emerging problems. It includes analysis of the existing situation, evaluation of possible options, their optimisation and economic justification, and finally, selection of the most effective way to achieve the goal. On the basis of generalisation of various approaches, a classification of managerial decisions by various criteria is proposed, which allows better understanding of their diversity and peculiarities. The article describes a set of criteria that serve as a basis for evaluation, development and adoption of managerial decisions. The paper emphasises the importance of a comprehensive approach to management decision-making, based on a thorough analysis of the situation, a balanced choice between alternatives and a clear definition of implementation mechanisms. The results of the study may be useful for executives at various levels, managers, and researchers studying the theory and practice of managerial decision-making.

Management Policy, Strategic Planning, and Human Resource Performance in Business Organisations: Unravelling the Overlapping Correlations for Effective Decision-Making

The objective of the study is to ascertain how organisational policies and strategies affect human resource performance in business enterprises. The study is anchored on decision theory and adopted a review of the literature to justify its findings. The study found that there is an intricate correlation between policy and strategy concerning organisational management and human resource performance. Also, it is revealed that worker's oriented policies and strategies affect their performance and the overall growth of the organisation. The study concludes that business policies and strategies are veritable and dynamic decision-making tools applied by managers in responding to changes in the business world.

Performance information and issue prioritization by political and managerial decision-makers: A discrete choice experiment

Abstract Issue prioritization is the first stage of attention-based theories of decision-making, but remains theoretically and empirically uncharted territory in public administration research. We propose and test how issue prioritization is informed by the characteristics of the performance information on which decision-makers rely, in particular its source (internal or external information), nature (objective or subjective information), aspiration level (historical, social, or coercive aspirations), and required cognitive effort (attention costs). Furthermore, we theorize how these characteristics of performance information determine issue prioritization decisions of political and managerial decision-makers in different ways. We empirically examine issue prioritization decisions in road maintenance and primary school education using a discrete choice experiment among 2,313 local government officials. The experiment reveals that decision-makers are more likely to prioritize issues that are signaled through objective performance measures and that are articulated relative to coercive aspirations, but that the effects of the information’s source and attention costs differ between policy domains. Comparison of observational variation regarding decision-makers’ roles indicates that public managers more strongly prioritize road maintenance issues that are articulated in objective performance information, but not in primary school education. The study advances public administration research and theory with a ‘horizontal’ behavioral perspective on decision-makers’ information processing to prioritize between simultaneous performance issues.

Research on Optimal Operation of Power Generation and Consumption for Enterprises with Captive Power Plants Participating in Power Grid Supply–Demand Regulation

Wind and solar power curtailment and the difficulty of peak regulation are issues that urgently need to be addressed in the process of China’s new electric power system. Enterprises with captive power plants (ECPPs) are large-capacity power consumers and producers, with significant optimization and adjustment potential on both the supply and demand sides. This paper aims to promote the active participation of ECPPs in grid supply–demand regulation and proposes an optimization model for the power generation and consumption of ECPPs based on a day-ahead, intra-day two-stage dispatching model. First, targeting demand response scenarios, mathematical models for analyzing the potential of ECPPs to participate in power grid supply–demand regulation are proposed. Then, an optimization model for ECPP generation and consumption with load regulation is established, and a two-stage dispatching model is proposed to fully mobilize the regulation flexibility of ECPPs. Finally, a robust dispatching model considering price uncertainty is established based on information gap decision theory. The case results show that ECPPs can reduce the curtailment rate in a region by approximately 9%, alleviate the peak pressure of the power grid, reduce carbon emissions by 1373.55 tons, and promote low-carbon development for themselves. Meanwhile, considering price uncertainty strengthens the risk resistance capability of ECPPs and provides a basis for their willingness to participate in supply–demand regulation.

Multi-Attribute Decision-Making Method Based on Dispersion Maximization and its Practical Application

Multi-attribute decision making is an important part of modern decision science, which has wide and practical applications in engineering design, economy, management, military and other fields. This paper first introduces the theory and sequencing steps of multi-attribute decision making method based on deviation maximization, and then makes specific application to the example of civil servant recruitment in government departments by using MATLAB programming. It makes the operation process of recruitment work clear and clear, and realizes scientific, normative and fair.