Central Language Hypothesis in the Decision-Making Process

2016 ◽  
pp. 66-83 ◽  
Author(s):  
Duygu Buğa
Keyword(s):  
Decision Making ◽  
Theoretical Framework ◽  
Future Research ◽  
Limbic Cortex ◽  
Decision Making Process ◽  
Discussion Section ◽  
Research Directions ◽  
Additional Information ◽  
Future Research Directions ◽  
The Brain

The purpose of this chapter is to explore the potential connection between neuroeconomics and the Central Language Hypothesis (CLH) which refers to the language placed within the subconscious mind of an individual. The CLH forwards that in the brains of bilingual and multilingual people, one language is more suppressive as it dominates reflexes, emotions, and senses. This central language (CL) is located at the centre of the limbic cortex of the brain. Therefore, when there is a stimulus on the limbic cortex (e.g., fear, anxiety, sadness), the brain produces the central language. The chapter begins with an Introduction followed by a Theoretical Framework. The next section discusses the neurolinguistic projection of the central language and includes the survey and the results used in this study. The Discussion section provides additional information regarding the questionnaire and the CLH, followed by Future Research Directions, Implications, and finally the Conclusion.

Optimizing Virtual Communities in Tourism to Facilitate Development of Small and Medium-Sized Enterprises

2020 ◽  
pp. 1023-1041
Author(s):  
Silvena Dencheva Yordanova
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Virtual Communities ◽  
Future Research ◽  
Decision Making Process ◽  
Research Directions ◽  
Future Research Directions

The chapter presents the essence of online/virtual travel communities and examines their current significance for SMEs. It presents types and characteristics as well as the most popular virtual travel SME communities and discusses ways of optimizing the development of SMEs by applying a strategy of virtual communities by selected hospitality SMEs. An eight step strategy to implement virtual travel communities by SMEs is elaborated. One of the main findings of the author is that virtual travel communities can be very useful for optimizing the development of SMEs by supporting all the stages in the decision-making process, focusing on pre-planning, making the decision and after the tourist and business visit stage. In order to understand how virtual travel community can optimize the development of SMEs, the author discusses tools for measuring the effectiveness of social media. Both future research directions and a conclusion are outlined.

Optimizing Virtual Communities in Tourism to Facilitate Development of Small and Medium-Sized Enterprises

2017 ◽  
pp. 60-78
Author(s):  
Silvena Dencheva Yordanova
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Virtual Communities ◽  
Future Research ◽  
Decision Making Process ◽  
Research Directions ◽  
Future Research Directions

The chapter presents the essence of online/virtual travel communities and examines their current significance for SMEs. It presents types and characteristics as well as the most popular virtual travel SME communities and discusses ways of optimizing the development of SMEs by applying a strategy of virtual communities by selected hospitality SMEs. An eight step strategy to implement virtual travel communities by SMEs is elaborated. One of the main findings of the author is that virtual travel communities can be very useful for optimizing the development of SMEs by supporting all the stages in the decision-making process, focusing on pre-planning, making the decision and after the tourist and business visit stage. In order to understand how virtual travel community can optimize the development of SMEs, the author discusses tools for measuring the effectiveness of social media. Both future research directions and a conclusion are outlined.

Decision Making Under Uncertainty and Risks in the Face of Rapidly Advancing Technologies

2019 ◽  
pp. 38-56
Author(s):  
Vicente González-Prida Díaz ◽  
Jesus Pedro Zamora Bonilla ◽  
Pablo Viveros Gunckel
Keyword(s):  
Decision Making ◽  
Social Perception ◽  
Industry 4.0 ◽  
Future Research ◽  
Risk And Uncertainty ◽  
Research Directions ◽  
The Face ◽  
Future Research Directions ◽  
Key Aspects ◽  
Reduction Of Uncertainty

This chapter aims to consider the effects of the new concept Industry 4.0 on decision making, particularly on the reduction of uncertainty and the risk associated with any choice between alternatives. For this purpose, this chapter begins by dealing with the concepts of risk and uncertainty and their epistemological evolution. After observing certain trends and recent studies in this regard, the authors address a more philosophical perception of risk, mainly on aspects related to engineering and social perception. The concept of human reliability will also be reviewed and how it can be improved with the application of emerging technologies, considering some methodological proposals to improve the decision making. After that, some of the possible future research directions will be briefly discussed. Finally, the chapter concludes by highlighting key aspects of the chapter as a context for other chapters in the book.

scholarly journals Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development

2020 ◽  
Vol 13 (3) ◽  
pp. 795-848
Author(s):  
Alina Köchling ◽  
Marius Claus Wehner
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Current Knowledge ◽  
Future Research ◽  
Journal Articles ◽  
Research Directions ◽  
Current State ◽  
Management Context ◽  
Future Research Directions ◽  
State Of Research

AbstractAlgorithmic decision-making is becoming increasingly common as a new source of advice in HR recruitment and HR development. While firms implement algorithmic decision-making to save costs as well as increase efficiency and objectivity, algorithmic decision-making might also lead to the unfair treatment of certain groups of people, implicit discrimination, and perceived unfairness. Current knowledge about the threats of unfairness and (implicit) discrimination by algorithmic decision-making is mostly unexplored in the human resource management context. Our goal is to clarify the current state of research related to HR recruitment and HR development, identify research gaps, and provide crucial future research directions. Based on a systematic review of 36 journal articles from 2014 to 2020, we present some applications of algorithmic decision-making and evaluate the possible pitfalls in these two essential HR functions. In doing this, we inform researchers and practitioners, offer important theoretical and practical implications, and suggest fruitful avenues for future research.

Machine Learning and Cognitive Algorithms for Engineering Applications

2013 ◽  
Vol 7 (4) ◽  
pp. 64-82 ◽  
Author(s):  
Leonid Perlovsky ◽  
Gary Kuvich
Keyword(s):  
Fuzzy Logic ◽  
Cognitive Processes ◽  
Future Research ◽  
Abstract Concepts ◽  
Cognitive Mechanisms ◽  
Research Directions ◽  
Semiotic Approach ◽  
Future Research Directions ◽  
The Brain ◽  
Universal Representation

Mind is based on intelligent cognitive processes, which are not limited by language and logic only. The thought is a set of informational processes in the brain, and such processes have the same rationale as any other systematic informational processes. Their specifics are determined by the ways of how brain stores, structures, and process this information. Systematic approach allows representing them in a diagrammatic form that can be formalized. Semiotic approach allows for the universal representation of such diagrams. In that approach, logic is a way of synthesis of such structures, which is a small but clearly visible top of the iceberg. The most efforts were traditionally put into logics without paying much attention to the rest of the mechanisms that make the entire thought system working autonomously. Dynamic fuzzy logic is reviewed and its connections with semiotics are established. Dynamic fuzzy logic extends fuzzy logic in the direction of logic-processes, which include processes of fuzzification and defuzzification as parts of logic. The paper reviews basic cognitive mechanisms, including instinctual drives, emotional and conceptual mechanisms, perception, cognition, language, a model of interaction between language and cognition upon the new semiotic models. The model of interacting cognition and language is organized in an approximate hierarchy of mental representations from sensory percepts at the “bottom” to objects, contexts, situations, abstract concepts-representations, and to the most general representations at the “top” of mental hierarchy. Knowledge Instinct and emotions are driving feedbacks for these representations. Interactions of bottom-up and top-down processes in such hierarchical semiotic representation are essential for modeling cognition. Dynamic fuzzy logic is analyzed as a fundamental mechanism of these processes. Future research directions are discussed.

scholarly journals Virtual bargaining: a theory of social decision-making

2014 ◽  
Vol 369 (1655) ◽  
pp. 20130487 ◽  
Author(s):  
Jennifer B. Misyak ◽  
Nick Chater
Keyword(s):  
Decision Making ◽  
Essential Element ◽  
Social Contexts ◽  
Future Research ◽  
Research Directions ◽  
Social Decision ◽  
Future Research Directions ◽  
Empirical Tests ◽  
Social Decision Making ◽  
Vast Range

An essential element of goal-directed decision-making in social contexts is that agents' actions may be mutually interdependent. However, the most well-developed approaches to such strategic interactions, based on the Nash equilibrium concept in game theory, are sometimes too broad and at other times ‘overlook’ good solutions to fundamental social dilemmas and coordination problems. The authors propose a new theory of social decision-making—virtual bargaining—in which individuals decide among a set of moves on the basis of what they would agree to do if they could openly bargain. The core principles of a formal account are outlined (vis-à-vis the notions of ‘feasible agreement’ and explicit negotiation) and further illustrated with the introduction of a new game, dubbed the ‘Boobytrap game’ (a modification on the canonical Prisoner's Dilemma paradigm). In the first empirical data of how individuals play the Boobytrap game, participants' experimental choices accord well with a virtual bargaining perspective, but do not match predictions from a standard Nash account. Alternative frameworks are discussed, with specific empirical tests between these and virtual bargaining identified as future research directions. Lastly, it is proposed that virtual bargaining underpins a vast range of human activities, from social decision-making to joint action and communication.

Auditing Fair Value Measurements: A Synthesis of Relevant Research

2006 ◽  
Vol 20 (3) ◽  
pp. 287-303 ◽  
Author(s):  
Roger D. Martin ◽  
Jay S. Rich ◽  
T. Jeffrey Wilks
Keyword(s):  
Decision Making ◽  
Fair Value ◽  
Two Dimensions ◽  
Judgment And Decision Making ◽  
Future Research ◽  
Relevant Research ◽  
Research Directions ◽  
Academic Literature ◽  
Future Research Directions ◽  
Fair Value Measurements

To contribute to the PCAOB project on auditing fair value measurements (FVMs), we synthesize relevant academic literature to offer insights, conclusions, and future research directions for auditors, standard-setters, and academics focusing on auditing FVMs. We structure our synthesis along two dimensions: (1) an emphasis on the auditor's need to understand how FVMs are prepared, and (2) the audit steps and procedures necessary to verify and attest to FVMs, including an awareness of the potential biases inherent in auditing FVMs. Drawing primarily from the judgment and decision-making literature, we highlight a number of potential biases and limitations in the preparation and audit of FVMs. Additionally, we note that the specialized valuation knowledge necessary to effectively audit FVMs will be difficult for auditors to gain and maintain.

FEA Consumer Needs Model: 25 Years Later

2019 ◽  
Vol 39 (1) ◽  
pp. 24-38
Author(s):  
Belinda T. Orzada ◽  
M. Jo Kallal
Keyword(s):  
Systematic Review ◽  
Design Process ◽  
Theoretical Framework ◽  
Time Span ◽  
Scholarly Journal ◽  
Future Research ◽  
Apparel Design ◽  
Research Directions ◽  
Fea Model ◽  
Future Research Directions

This systematic review examined use of Lamb and Kallal’s (1992) Functional, Expressive, and Aesthetic (FEA) Consumer Needs Model and integrated Apparel Design (AD) Framework within scholarly journal publications. The 126 peer-reviewed articles citing Lamb and Kallal published in English between 1992 and 2017 were the focus of this article. We identify the breadth of citations across the 25-year time span, examine application of the FEA Model and/or the AD Framework, and identify and confirm use of the FEA Model as a theoretical framework. Authors used the consumer needs focus to assess FEA criteria for products targeted to various consumer groups and product types. Findings indicate that the FEA Model has been applied under a variety of conditions to understand consumer needs, inform the design process, confirm the utility of the model, and demonstrate the strength and flexibility of the FEA Model. Future research directions are suggested.

Applying Info-Gap Theory to Remanufacturing Process Selection Affected by Severe Uncertainty

2007 ◽  
Author(s):  
Scott J. Duncan ◽  
Christiaan J. J. Paredis ◽  
Bert Bras
Keyword(s):  
Decision Making ◽  
Critical Level ◽  
Future Research ◽  
Decision Strategy ◽  
Process Selection ◽  
Research Directions ◽  
Information Gap ◽  
Future Research Directions ◽  
Severe Uncertainty ◽  
Design Scenario

In this article, Information-Gap Decision Theory (IGDT), an approach to robust decision making under severe uncertainty, is applied to decisions about a remanufacturing process. IGDT is useful when only a nominal estimate is available for an uncertain quantity; the amount that estimate differs from the quantity’s actual value is not known. The decision strategy in IGDT involves maximizing robustness to uncertainty of unknown size, while still guaranteeing no worse than some “good enough” critical level of performance, rather than optimal performance. The design scenario presented involves selecting the types of technologies and number of stations to be used in a remanufacturing process. The profitability of the process is affected by severe uncertainty in the demand for remanufactured parts. Because nothing is know about demand except an estimate based on a different product from a previous year, info-gap theory will be used to determine an appropriate tradeoff between performance and robustness to severe uncertainty. Which design is most preferred is seen to switch depending on choice of critical performance level. Implications of findings, as well as future research directions, are discussed.

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