• Title/Summary/Keyword: Hedonic technique

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The Effect of Design Quality on Hedonic Search, Utilitarian Search and Impulse Buying in Distribution Market

  • BUDIMAN, Santi;PALUPI, Majang;HARYONO, Tulus;UDIN, Udin
    • Journal of Distribution Science
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    • v.20 no.5
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    • pp.49-64
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    • 2022
  • Purpose: This research aims to determine the quality of online store designs that make consumers who use online market board applications have the urge to make impulse buying. This research was conducted because impulse buying is the most common buying behavior. Research design, data and methodology: This research used non-probability sampling. The sample size was 195 respondents from the distribution and service industries by applying a purposive sampling technique. The data collection technique employed a questionnaire distributed online according to predetermined criteria: mobile device users who accessed the online market board application and made at least one purchase in the last six months. The data analysis method utilized was structural equation modeling (SEM). Results: The findings revealed that usability, functionality, and sociability factors affected hedonic and utilitarian search. Furthermore, these findings proved that hedonic search affected impulse buying drives. In contrast, the utilitarian search did not affect impulse buying drives. Conclusions: The usability, functionality, and sociability factors supported hedonic and utilitarian searches. Consumer information security increased consumer confidence in an online store because it was considered to protect matters related to their privacy. The hedonic search also increased impulse buying drives. Consumers prefer to use their spare time to search through online market board applications, which provide many attractive promos.

Estimation of Gasoline Price Elasticities of Demand for Automobile Fuel Efficiency in Korea : A Hedonic Approach (휘발유 가격변화에 대한 자동차 연비의 수요탄력성 추정 - 대구시를 대상으로 헤도닉기법을 이용하여 -)

  • Lee, Sung Tae;Lee, Myunghun
    • Environmental and Resource Economics Review
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    • v.10 no.1
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    • pp.45-64
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    • 2001
  • This paper estimates the gasoline price elasticities of demand for automobile fuel efficiency in Korea to examine indirectly whether the government policy of raising fuel prices is effective in inducing less consumption of fuel, relying on a hedonic technique developed by Atkinson and Halvorsen (1984). One of the advantages of this technique is that the data for a single year, without involving variation in the price of gasoline, is sufficient in implementing this study. Moreover. this technique enables us to circumvent the multicollinearity problem, which had reduced reliability of the results in previous hedonic studies. The estimated elasticities of dam and for fuel efficiency with respect to the price of gasoline, on average, is 0.42.

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Analysis of Determinant Factors of Land Price in Rural Area Using a Hedonic Land Price Model and Spatial Econometric Models (헤도닉분석기법과 공간계량경제모형을 이용한 농촌지역 지가의 영향인자 분석)

  • Suh, Kyo
    • Journal of Korean Society of Rural Planning
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    • v.11 no.3 s.28
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    • pp.11-17
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    • 2005
  • Land prices reflect not only the uses of land, but the potential uses as well(Plantinga, 2002) so land values can be applied to very effective indices for deciding regional status and growing potential. The purpose of this study is to deduce determinant factors of regional land prices. Principal determinants of regional land prices are analyzed with a hedonic technique and spatial econometric models based on 2001 statistic data of Korea except large cities. The results provide the followings. 1. The spatial effect of rural regions are very little with adjacent regions. 2. The common index of land price is population density and other determinant factors are different depending on land uses.

Understanding the consumer shopping experiences on Black Friday using critical incident technique - Focused on the responses of university students in the United States - (결정적 사건 기법을 이용한 소비자의 블랙 프라이데이 쇼핑 경험에 관한 연구 - 미국 대학생 소비자의 응답을 중심으로 -)

  • Shim, Soo In
    • The Research Journal of the Costume Culture
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    • v.22 no.2
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    • pp.346-359
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    • 2014
  • Black Friday, a biggest holiday shopping season in the United States, has been regarded as a great opportunity that fashion retailers can dramatically increase their sales. However, there has been a lack of attention to consumers' shopping experiences on Black Friday from the consumer perspectives. The objective of this study is to explore consumer shopping experiences on Black Friday, in terms of consumer responses toward the experiences, shopping values, and any possible factors influencing the experiences. The method of critical incident technique was used with 198 critical incidents extracted from 165 responses of university students in the United States. As results, the shopping experiences on Black Friday were categorized into positive vs. negative shopping experiences. After that, the positive and negative experiences were respectively divided into two common themes: utilitarian shopping value vs. hedonic shopping value. In addition to the common themes, 12 categories were also emerged. Among positive experiences, utilitarian shopping experiences includes two categories of off-price shopping and shopping for expensive products, whereas hedonic shopping experiences includes three categories of impulse buying, holiday atmosphere, and shopping for the latest or luxury brand products. Among negative experiences, utilitarian shopping experiences includes four categories of modest discounts, out of stock, time-consuming queues, and fatigue of holiday shopping, while hedonic shopping experiences includes three categories of crowded environments, compulsive buying, and poorly managed stores. In conclusion, it is notable that consumer can undergo negative as well as positive shopping experiences on Black Friday. Implications and suggestions are also discussed.

An Effect on Satisfaction and Loyalty of the Characteristics in Mobile Learning: According to Gender (모바일 러닝의 특성이 만족과 충성도에 미치는 영향: 성별에 따른 분석)

  • Chung, Kyung-Soo;Lee, Won-Bin;Noh, Mi-Jin
    • The Journal of Information Systems
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    • v.19 no.3
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    • pp.75-103
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    • 2010
  • This study analyzes a model appling value in the mobile learning. We investigate the interaction, ease of use, hedonic value, and utilitarian value considering importance factors in the mobile learning, and the customer values are found to influence the customer satisfaction. We analysis a relationship between these factors and the customer satisfaction, and the relationship between the customer satisfaction and the loyalty. Finally, we research difference among gender of the satisfaction on the mobile learning. To fulfill this purpose, the research model was designed from literature review, and the structural equation modeling technique was used to evaluate hypotheses. The major results of this study are as follows. First, the ease of use, hedonic value, and utilitarian value positively influenced the satisfaction, and the satisfaction had positive influences on the customer loyalty. But the interaction didn't have positive influence on the satisfaction. Second, gender difference was found for some path coefficient. Male user's interaction and ease of use has effect on the satisfaction, and Female user's hedonic value and utilitarian value have influenced the satisfaction. When it consider the market share or the growth potential of the mobile learning industry, the results of this study will provide the useful information to manage mobile learning.

The Influence of Channel Integration Quality on Omni-Channel Shopping Intention and Shopper Satisfaction in the E-commerce Industry in Indonesia

  • WIDJAJA, Yosua Giovanni;SO, Idris Gautama;SETIOWATI, Rini;FURINTO, Asnan
    • Journal of Distribution Science
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    • v.20 no.12
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    • pp.35-42
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    • 2022
  • Purpose: The purpose of this study was to determine the effect of utilitarian value, hedonic value, channel integration quality on Omni-Channel Shopping Intention and shopper satisfaction in the e-commerce industry in Indonesia. Research design, data and methodology: This research method uses quantitative research methods with purposive sampling technique. The hypothesis was tested using SEM-PLS. Results: Based on the results of the analysis and discussion, it can be concluded that there is an influence between the Utilitarian value on the Omni-channel shopping intention, there is no effect between the hedonic value on the Omni-channel shopping intention, there is no influence between the quality of Channel integration on the Omni-channel shopping intention, there is an influence between the quality of Channel integration and the Omni-channel shopping intention between utilitarian values on shopper satisfaction, there is no effect between hedonic values on shopper satisfaction, there is an influence between channel integration quality on shopper satisfaction, and there is an influence between Omni-channel shopping intentions on shopper satisfaction. Conclusions: The findings of this study prove that Omni-Channel Shopping Intention is one of the most effective management and marketing techniques to enhance an important aspect of their company, namely an efficient and holistic consumer shopping experience.

Estimation of the Benefit of Electronic Banking Information Service Using Hedonic Price Technique (헤도닉 가격 기법을 이용한 전자금융 정보서비스 편익 추정에 관한 연구)

  • Lee, Hyung-Seok;Park, Kwang-Tae
    • Asia pacific journal of information systems
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    • v.11 no.4
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    • pp.43-62
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    • 2001
  • Recently, as information and communication technology is swiftly developed, consumers feel more convenient in making use of as well as access to the banking service. This change must affect consumer's benefit, however, there are rare previous studies and methods for measuring it. Thus, we utilize hedonic price technique to estimate consumer's benefit of electronic banking information. The results indicate that the price elasticity of consumer's communication service expenditure regarding the use of electronic banking information is about 0.057%. That is, users have willingness to pay 57 Won more than current communication fee for acquiring the additional electronic banking information.

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A Study on the Valuation of Call Quality in Korean Mobile Communication Industry

  • Kim, Mincheol;Lee, Hyungseok
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.26 no.7A
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    • pp.1275-1283
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    • 2001
  • The purpose of this paper is to test whether prices of mobile communication service reflect their varying degrees of call quality, controlling for other service attributes. As, in fact, service is intangible goods difficult to measure its value, this paper makes use of econometric model, hedonic price analysis. Hedonic price analysis, has ever been applied in public or environmental economics, is employed and produces estimates of the prices (or the contributions toward the total price) for each characteristic. This paper applied hedonic technique to the value measurement of a service property for the use of Korean mobile communication. This paper uses actual transaction prices of mobile communication service to determine whether or not the market functions in pricing call quality of mobile communication service. Finally, this show that the willingness to pay of consumer increases as call quality increases and so market makes prices on call qualities. Thus, major concern in this paper is about value measurement o service quality, and also suggest of the possibility to determine call quality value (or price) of mobile communication service.

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Effects of Franchise Restaurant Selection Attributes on Perceived Value, Customer Satisfaction and Loyalty (프랜차이즈 레스토랑의 선택속성이 지각된 가치와 고객만족 및 고객충성도에 미치는 영향)

  • Wang, Shuo;Lee, Yong-Ki;Kim, Sung-Hwan
    • The Korean Journal of Franchise Management
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    • v.9 no.4
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    • pp.7-19
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    • 2018
  • Purpose - Recently, global management in Korea franchise industry is becoming an important keyword. As an important branch market, Chinese market plays a major role not only by making experience of the competitiveness among global brands which offers a foothold to become a top global brand, but also by actualizing an economies of scale in production, sales, etc. Therefore, it is necessary to identify key successful factor influencing customer evaluation and responses of Korean franchise restaurant targeting Chinese consumers in China context. The purpose of this study is to examine the effects for Korean franchise restaurant selection attributes on perceived value, customer satisfaction and customer loyalty in Chinese context with SmartPLS 3 and Artifical Neural Network(ANN). Research design, data, and methodology - For these purposes, the authors developed several hypotheses. A questionnaire survey was conducted on the panel of online survey companies for Chinese consumers who have visited Korean franchise restaurants. A total of 404 data were analyzed using structural equation modeling(SEM) and artifical neural network(ANN) with SPSS 22.0 and SmartPLS 3.0. Result - The findings of this study are as follows: First, the alternative model findings show that facilities & atmosphere, employee service, and menu influenced on utilitarian value, customer satisfaction, and customer loyalty directly. Second, employee service influenced on customer satisfaction. Third, menu influenced on hedonic value. Fourth, brand reputation influenced on utilitarian value. Fifth, hedonic value increase customer satisfaction and customer loyalty. Sixth, hedonic value increase customer loyalty. Seventh, customer increase customer loyalty. And, the ANN analysis shows that utilitarian value is the first most important factor influencing customer satisfaction, followed by hedonic value, facilities & atmosphere, menu and employee service. However, the ANN analysis shows that customer satisfaction is the first most important factor influencing customer loyalty, followed by utilitarian value, hedonic value, brand reputation, menu, and employee service. Conclusions - This study provides practical implications for enhancing customer satisfaction and customer loyalty by applying the ANN technique that complements the limitations of the linear structural relationship analysis using the proposed model and the alternative model. In other words, the SEM-ANN model provides guidelines on how Korean franchise restaurants should formulate facilities & atmosphere, employee service, and menu mix strategies in China. In addition, ANN 's analysis shows that restaurant brand reputation plays a pivotal role in increasing customer loyalty. The fact suggests that Korean franchise companies should establish their domestic brand reputation prior to their entry into overseas markets such as China.

Spatial Hedonic Modeling using Geographically Weighted LASSO Model (GWL을 적용한 공간 헤도닉 모델링)

  • Jin, Chanwoo;Lee, Gunhak
    • Journal of the Korean Geographical Society
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    • v.49 no.6
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    • pp.917-934
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    • 2014
  • Geographically weighted regression(GWR) model has been widely used to estimate spatially heterogeneous real estate prices. The GWR model, however, has some limitations of the selection of different price determinants over space and the restricted number of observations for local estimation. Alternatively, the geographically weighted LASSO(GWL) model has been recently introduced and received a growing interest. In this paper, we attempt to explore various local price determinants for the real estate by utilizing the GWL and its applicability to forecasting the real estate price. To do this, we developed the three hedonic models of OLS, GWR, and GWL focusing on the sales price of apartments in Seoul and compared those models in terms of model fit, prediction, and multicollinearity. As a result, local models appeared to be better than the global OLS on the whole, and in particular, the GWL appeared to be more explanatory and predictable than other models. Moreover, the GWL enabled to provide spatially different sets of price determinants which no multicollinearity exists. The GWL helps select the significant sets of independent variables from a high dimensional dataset, and hence will be a useful technique for large and complex spatial big data.

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