Daniel Koh

Daniel Koh
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Daniel verified their affiliation via an institutional email.
Verified
Daniel verified their affiliation via an institutional email.
  • BSc MSc DBA
  • Associate Lecturer at Management Development Institute of Singapore

About

9
Publications
11,164
Reads
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8
Citations
Current institution
Management Development Institute of Singapore
Current position
  • Associate Lecturer
Additional affiliations
December 2014 - April 2022
Singapore University of Social Sciences
Position
  • Associate Faculty
Education
June 2022 - June 2023
April 2013 - June 2014
Nanyang Technological University
Field of study
  • Marketing
January 2009 - May 2012

Publications

Publications (9)
Article
Full-text available
This paper introduces a structured framework for applying the Loss Aversion Distribution (LAD) model, a novel approach to understanding time-sensitive decision-making behaviors influenced by loss aversion. The LAD model provides actionable insights for industries by capturing how perceived value diminishes over time, optimizing pricing strategies,...
Article
Full-text available
Over the past three decades, the topic of consumer animosity has attracted the interest of academics, researchers,and policy makers. Researchers have attempted to understand the underlying constructs that lead to consumer’sanimosity using conceptual models to explain antecedents and consequences of consumer’s animosity. Thisstudy revisits the socia...
Article
Full-text available
This research introduces the concept of the loss aversion distribution, a pioneering framework designed for the analysis of consumer behavior. Departing from the conventions of traditional exponential models, this innovative approach incorporates a non-memoryless characteristic, which modulates the consumer's response to loss aversion throughout th...
Conference Paper
Full-text available
In a market setting where trade of TSVD good such as the movie ticket is involved, consumers set selling price lower than buying price-a phenomenon known as the reversal of loss aversion. And uncertain information in an unknown (partial information) or known (full information) format has no influence on the prices the consumers set when it comes to...
Article
Full-text available
RISIS (the reversed acronym of SISIR which stands for Singapore Institute of Standards and Research) is a home-groom brand of Singapore which has its root started in 1976, when a scientist sought to immortalize a rare orchid breed and use it as a gift to his wife. Since then, RISIS has turned into a well-recognized, iconic brand around the world. O...
Presentation
Full-text available
The Loss Aversion Distribution is a continuous probability distribution (CPD) designed to model the loss-aversive behavior of consumers in time-sensitive environments, particularly in the pricing of perishable goods. Traditional pricing strategies have long relied on heuristics and gut-feelings, making it difficult for AI systems to learn and optim...
Thesis
Full-text available
Behavioral economics is a study of decision-making from the perspective of individual’s or institutions’ behavior arising from a departure from the classical economic theory. One example would be the differences in setting buying price and selling price for the same product due to the attachment one has with it. In an uncertain environment where ev...
Article
Since the ancient times, philosophers have provided rationalistic, intellectual, and compelling arguments for researchers – be it ancient, enlightenment, contemporary or modern age – to establish scientific knowledge through empirical observations using induction and/or deduction. Their observations and arguments had led to wisdom. It is this wisdo...

Questions

Question (1)
Question
If you wish to help someone understand statistical analysis in your work, how would you approach the explanation of technique?
This is an interesting question because a good degree of understanding in statistical analysis is measured by our ability to simplify it through analogies and illustration, without losing quality and substance. What are some of the ways you would take to explain them??

Network

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