Reference-dependent preferences on smart phones in South Korea: Focusing on attributes with heterogeneous preference direction

Kim, Junghun; Lee, Jongsu; Ahn, Joongha

doi:10.1016/j.chb.2016.07.008

Cited by 26 publications

(6 citation statements)

References 23 publications

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“…Regarding reference point heterogeneity, logit, probit and regression models can incorporate structural heterogeneity in a straightforward way, while mixture models can incorporate both structural heterogeneity and preference heterogeneity at the segment level. As an estimation method, Hierarchical Bayesian approach can be applied to all the above models, which can help provide estimates of preference heterogeneity at the individual level (Baillon et al., 2019; Chang et al, 1999; Kim et al, 2016; Kim et al., 2018).…”

Section: Resultsmentioning

confidence: 99%

“…In phase five, issues like reference point uncertainty and multiple reference points with multiple attributes attracted researchers’ attention (Caputo et al., 2020; Wang et al., 2019). Research explored ways of incorporating preference heterogeneity and structural heterogeneity regarding reference points into a unified model (Kim et al, 2016; Kim et al., 2018). Models other than choice‐based models were also proposed to explore the effect of reference points (Allen et al., 2017; Bartling et al., 2015).…”

Section: Methodsmentioning

confidence: 99%

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Reference points in consumer choice models: A review and future research agenda

Wang

Sun

Zhang

et al. 2020

Int J Consumer Studies

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Reference‐dependent consumer preference and choice have been the focus of marketing and behavioural decision researchers for decades. Researchers have proposed different ways of incorporating reference‐dependent consumer preference into quantitative models. No extant research, however, systematically examines and evaluates these modelling methods. As more empirical research on reference‐dependent preference emerges in different areas, this review is both timely and of great importance. The paper pays special attention to empirical articles that incorporate reference points into consumer choice models and classifies the models in terms of reference point operationalization, model framework and reference point heterogeneity. By comparing and evaluating various conceptualizations of reference points and extant empirical choice models, we seek to provide guidance and directions in terms of theory, contexts and methodology (TCM) to future researchers with different application areas and focus of studies. The paper synthesizes the previous findings and identifies current research gaps, which allow us to provide future directions in this research domain.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Reference points in consumer choice models: A review and future research agenda

Wang

Sun

Zhang

et al. 2020

Int J Consumer Studies

View full text Add to dashboard Cite

show abstract

“…To ensure the representativeness of the sample, purposive quota-sampling was performed by setting the composition ratio of the age, sex, and the city of residence similar to the actual population composition. 20,31,32 The discrete choice experiment used here is similar to that performed by Moon et al, 20 which referenced previous studies on the preference analysis of EVs using mixed logit model. (Refer to Appendix 1 for the characteristics of survey respondents and population.)…”

Section: The Discrete Choice Experiments Designmentioning

confidence: 99%

Forecasting the future scale of vehicle to grid technology for electric vehicles and its economic value as future electric energy source: The case of South Korea

Lim

Kim

Lee

2020

Energy & Environment

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With the world seeking ways to cope with climate change, the interest in and demand for electric vehicles are increasing as part of the efforts to resolve the issue of fine dust, especially in South Korea. The Korean government has consistently announced plans to promote electric vehicles as a means of transportation by providing benefits such as subsidies for electric vehicle purchase and expansion of charging infrastructure. Meanwhile, as electric vehicles continue to grow in number, the energy industry has become attentive to its role as a resource for power generation through vehicle to grid technology. This study analyzes electric vehicle consumer preferences using the discrete choice experiment (DCE) and found that there exists a clear nested structure in Korean consumers’ choice of vehicle. The study also estimates the amount of vehicle to grid electricity supply in the power market and calculates not only national but also individual economic benefit of electric vehicle owners participating in vehicle to grid services based on the estimated amount of electricity supplied. The results of scenario analysis indicate that the estimated electric vehicle supply in Korea will be about 560,000 units cumulatively and that the vehicle to grid electric vehicle power supply scale will reach 1.81 GW by 2030. The estimation shows that the economic benefit of vehicle to grid at the national power market level is 50.9 billion KRW per year, while the economic benefit at an individual level (per vehicle) is 104,151 KRW.

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“…DCM has been increasingly applied over the last decades to test empirically theoretical models on the relationship between product and service features and to analyse consumer choice behaviour (Crouch and Louviere, 2000). DCM has been applied in numerous research fields, including transport (Arencibia et al, 2015; Batarce et al, 2016; Román and Martín, 2014; Román et al, 2007; Yazdanpanah and Hosseinlou, 2016), technology (Inoue et al, 2012; Kim et al, 2016), ecology (Franzén et al, 2016; Grafeld et al, 2016), environment (Tang and Zhang, 2016), energy (Ruokamo, 2016) or health (Lagarde et al, 2013; Scott, 2002; Yoo and Doiron, 2013).…”

Section: Literature Reviewmentioning

confidence: 99%

Determinants for sun-and-beach self-catering accommodation selection

2018

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Self-catering accommodation is an important lodging alternative in some tourist destinations. Attributes such as the size, furniture and equipment; pool area; quietness; accessibility to beach; or Wi-Fi play an important role in the selection of this type of accommodation. Understanding tourists’ preferences is essential to improve services and gain competitiveness. In this article, a stated choice experiment between two hypothetical self-catering apartments is carried out in Maspalomas, a world renowned destination in the south of Gran Canaria, Spain. Consistent multinomial and mixed logit model specifications that incorporate systematic and random taste variation within tourists’ preferences are estimated. Willingness to pay for improving different service quality attributes is obtained. The findings are crucial and provide important insights to managers and policymakers in order to streamline the marketing and promotional strategies, as well as to make optimal investment decisions.

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Reference-dependent preferences on smart phones in South Korea: Focusing on attributes with heterogeneous preference direction

Cited by 26 publications

References 23 publications

Reference points in consumer choice models: A review and future research agenda

Reference points in consumer choice models: A review and future research agenda

Forecasting the future scale of vehicle to grid technology for electric vehicles and its economic value as future electric energy source: The case of South Korea

Determinants for sun-and-beach self-catering accommodation selection

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