Case-based decision model matches ideal point model:

Kinjo, Keita; Ebina, Takeshi

doi:10.1007/s10844-017-0463-6

Cited by 7 publications

(5 citation statements)

References 37 publications

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“…We formalized the following two similarity functions: (a) (Gilboa, Lieberman, & Schmeidler, 2006;Kinjo & Ebina, 2018):…”

Section: Estimation Resultsmentioning

confidence: 99%

Section: Acknowledgmentsmentioning

confidence: 99%

“…We will now provide the formulation of the other main model, the CBDM (Kinjo & Ebina, 2018). The CBDT concept and CBDM notation were developed by Gilboa and Schmeidler (1995) and have been summarized by other researchers (Kinjo & Ebina, 2018;Surma, 2015). Let P denote a set of decision problems, A denote a set of acts (actions in the main text) that may be chosen, and R denote a set of possible outcomes.…”

Section: Acknowledgmentsmentioning

confidence: 99%

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Applying the peak‐end rule to decision‐making regarding similar products: A case‐based decision approach

Kinjo

Ebina

2021

Expert Systems

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This study proposes a marketing decision support system (DSS) for firms using casebased and peak-end approaches to model consumers. The proposed DSS is composed of model and estimation methods. We employ a similarity function used in case-based decision theory to examine the degree of similarity between the past and current products offered to a consumer. The contributions of this study are as follows: First, by extending the peak-end approach, the proposed model could be utilized to analyse not only the same product but also multiple similar products. The DSS could be applied to a broad range of decision problems. Second, by extending the case-based decision model, our DSS considerably reduces the number of computational operations needed. Third, the model demonstrated the best fit among the compared models and possessed high prediction accuracy when analysing the viewing data for Japanese television dramas. The DSS could increase the future purchase probability of a product. Our research bridges two significant concepts: case-based decision models in DSSs and peak-end rules in behavioural economics.case-based decision theory, marketing decision support system, peak-end rule, TV drama | INTRODUCTIONPeople in the real world determine their behaviour by adopting heuristics and biases. Behavioural economics (BE) attempts to clarify the mechanisms behind human behaviour. The use of BE in information systems has gradually become important in policy and corporate strategies (Arnott & Gao, 2019;Oduor & Oinas-Kukkonen, 2017). Arnott and Gao (2019) have stressed that the decision-making theories of BE have a long history in decision support system (DSS) research, although the use of BE has been relatively modest. Kahneman, Fredrickson, Schreiber and Redelmeier (1993) have proposed a key human decision-making concept in BE called the peak-end rule (PER) (Kahneman et al., 1993). Formally, the rule is defined as follows: the global retrospective rating is well predicted by the average of the levels of pain reported at the worst moment of the experience and at its end (Kahneman, 2011;Kahneman et al., 1993). PER states that noteworthy assessments of an event in the past and immediately before it ends considerably influence an individual's overall evaluation (Cojuharenco & Ryvkin, 2008). The PER becomes more significant when considering human behaviours in many fields, such as economics, marketing and psychology.In recent years, the PER has been applied for marketing DSSs in studies wherein the prices of the same product (referred to as "problems" in this article) during previous peaks and ends are examined. After instantaneous evaluations are performed, the PER is applied to consumer decision-making to determine the optimal price and marketing strategy for the firm both theoretically and empirically (Nasiry & Popescu, 2011).However, consumers (referred to as "agents" in this article) have the opportunity to choose not only the same product repeatedly but also similar products in the same category. For example, when deciding w...

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“…We formalized the following two similarity functions: (a) (Gilboa, Lieberman, & Schmeidler, 2006;Kinjo & Ebina, 2018):…”

Section: Estimation Resultsmentioning

confidence: 99%

Section: Acknowledgmentsmentioning

confidence: 99%

Section: Acknowledgmentsmentioning

confidence: 99%

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Applying the peak‐end rule to decision‐making regarding similar products: A case‐based decision approach

Kinjo

Ebina

2021

Expert Systems

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“…Guilfoos and Pape [18] use CBDT to analyze the cooperative dynamics in prisoner's dilemma, proving that CBDT model is more suitable when it comes to selecting schemes using cooperative dynamic analysis. Studying the relationship between CBDT and ideal point model can reveal previous dependence point or provide reference point, which helps enterprise in product designing and product positioning, providing support for marketing decision [19].…”

Section: Literature Reviewmentioning

confidence: 99%

The Application of Fuzzy VIKOR for the Design Scheme Selection in Lean Management

Jing

Tang

Yan

2018

Mathematical Problems in Engineering

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Given that using the same evaluation criteria in group decision making (GDM) may cause solution bias, this research proposes the decision making model using improved fuzzy VIKOR and takes the lean management design scheme selection process in a real estate company as an example to study the way of decision making. Research results are as follows: (1) improved fuzzy VIKOR allows different decision makers to evaluate all schemes with respect to different evaluation criteria systems and, based on this, this research proposes a decision making model which can effectively avoid making decision using the same criteria system; (2) this decision making model is very scientific, as it is not sensitive to the coefficient of selection mechanism, the weight of decision maker, and the weight of evaluation criterion, so the decision results are very stable; (3) the decision making model proposed in this research can effectively obtain the optimal result and avoid suboptimal solution.

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“…Additionally, subway construction in cities such as Chengdu and Chongqing has also developed rapidly. China is gradually entering the peak period of subway construction (Kinjo et al, 2018). However, in addition to considering the issue of adding network sections and expanding the capacity of existing sections in general road traffic network design, investment in urban subway networks also needs to take into account the setting of subway lines and the temporal and spatial interrelationships of subway projects (Fowler et al, 2019).…”

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confidence: 99%

Design and Implementation of an Intelligent Metro Project Investment Decision Support System

Zhang,

Zeng

2024

International Journal of Information Technologies and Systems Approach

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The construction of subway projects involves tight engineering cycles, multiple technical challenges, and complex coordination among various stakeholders. Due to the influence of uncertain factors during the construction process, the investment in subway project construction exhibits non-linear changes over time. Investment decision-making is the process through which the investment entity determines its investment activities. For typical investment entities, project investment decision-making primarily entails analyzing and evaluating proposed engineering projects based on investigation, analysis, and argumentation, ultimately deciding whether to invest. With the widespread application of information technology (IT) across various fields, decision support systems (DSS) have emerged to enhance the decision-making capabilities of enterprise management. This article designs an intelligent subway project investment DSS, leveraging data mining (DM) technology to integrate DSS with a data warehouse (DW).

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Case-based decision model matches ideal point model:

Cited by 7 publications

References 37 publications

Applying the peak‐end rule to decision‐making regarding similar products: A case‐based decision approach

Applying the peak‐end rule to decision‐making regarding similar products: A case‐based decision approach

The Application of Fuzzy VIKOR for the Design Scheme Selection in Lean Management

Design and Implementation of an Intelligent Metro Project Investment Decision Support System

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