• Title/Summary/Keyword: conjoint analysis

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A Conjoint Analysis of Online Information Privacy Concerns: A case in Korea (온라인 프라이버시 침해 우려에 관한 컨조인트 분석 : 한국에서의 사례)

  • Choi, Mi-Young;Lee, Sang-Yong Tom
    • Asia pacific journal of information systems
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    • v.18 no.3
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    • pp.45-65
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    • 2008
  • The rapid growth of the Internet has increased the amount of transmission of personally identifiable information. At the same time, with new Internet related technologies, organizations are trying to collect and access more personal information than before, which in turn makes individuals concern more about their information privacy. For their successful businesses, organizations have tried to alleviate these concerns in two ways: (1) by offering privacy policies that promise certain level of privacy protection; (2) by offering benefits such as financial gains or convenience. In this paper, we interpret these actions in the context of the information processing theory of motivation. This paper follows Hann et al.(2007)'s methods to analyze Internet users privacy concerns in Korea and tries to compare the findings. Our research objectives are as follows: First, we analyze privacy concern mitigation strategies in the framework of the expectancy theory of motivation. Subsequently, we show how the expectancy theory based framework is linked o the conjoint analysis. We empirically validate the predictions that the means to mitigate privacy concerns are associated with positive valences resulting in an increase in motivational score. In order to accommodate real-life contexts, we investigate these means in trade-off situation, where an organization may only be able to offer partially complete privacy protection and/or promotions and/or convenience, While privacy protection (secondary use, improper access) are associated with positive valences, we also find that financial gains can significantly increase the individuals' motivational score of a website in Korea. One important implication of this empirical analysis is that organizations may possess means to actively manage the privacy concerns of Internet users. Our findings show that privacy policies are valued by users in Korea just as in the US or Singapore. Hence, organizations can capitalize on this, by stating their privacy policy more prominently. Also organizations would better think of strategies or means that may increase online users' willingness to provide personal information. Since financial incentives also significantly increase the individuals' motivational score of website participation, we can quantify the value of website privacy protection in terms of monetary gains. We find that Korean Internet users value the total privacy protection (protection against errors, improper access, and secondary use of personal information) as worthy as KW 25,550, which is about US 28. Having done this conjoint analysis, we next adopt cluster analysis methodology. We identify two distinct segments of Korea's internet users-privacy guardians and information sellers, and convenience seekers. The immediate implication of our study is that firms with online presence must differentiate their services to serve these distinct segments to best meet the needs of segments with differing trade-offs between money and privacy concerns. Information sellers are distinguished from privacy guardians by prior experience of information provision, To the extent that businesses cannot observe an individual's prior experience, they must use indirect methods to induce segmentation by self-selection as suggested in classic economics literature of price discrimination, Businesses could use monetary rewards to attract information sellers to provide personal information. One step forward from the societal trends that emphasize the need of legal protection of information privacy, our study wants to encourage organizations and related authorities to have the viewpoints to consider both importance of privacy protection and the necessity of information trade for the growth of e-commerce.

A Methodology of Conjoint Segmentation for Internet Shopping Malls Using Customer's Surfing Data (인터넷 쇼핑몰 방문자의 행위 분석을 이용한 컨조인트 시장세분화 방법론에 대한 연구)

  • Lee, Dong-Hoon;Kim, Soung-Hie
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2000.04a
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    • pp.187-196
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    • 2000
  • A lot of Internet shopping malls strive for obtaining a competitive advantage over others in an increasingly tighter electronic marketplace. To this end, understanding customer preference toward products (or services) and administering appropriate marketing strategy is essential for their continuous survival. However, only a few marketing researchers and practicioners focused on this issue, compared with academic and industry efforts devoted to traditional market segmentation. In this paper, we suggest a methodology of conjoint segmentation for electronic shopping malls. Traditional market segmentation methodologies based on customer's profile sometimes fail to utilize abundant information given while navigating around cyber shopping malls. In this methodology, we do not impose information overload to the customer for preference elicitation, but this methodology, we do not impose information overload to the customer for preference elicitation, but capture automatically generated surfing or buying data and analyze them to get useful market segmentation information. The methodology consists of 4-stages: 1) analyzing legacy homepages, 2) data preparation, 3) estimating and interpreting the result, and 4) developing marketing mix. Our methodology was to give useful guidelines for market segmentation to companies working in the electronic marketplace.

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Assessing the Factors Influencing Preference for the Restaurants in Tourist Areas (관광지역 음식점에 대한 선호도에 영향을 미치는 요인 평가)

  • Kang, Jong-Heon;Jeong, Hang-Jin
    • Culinary science and hospitality research
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    • v.14 no.2
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    • pp.215-224
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    • 2008
  • The objective for this research was to clarify the preference for alternative restaurants with different combinations of factor levels: local specialty food, non-local specialty food, very attentive service, moderately attentive service, not attentive service, traditional decoration, modern decoration, \10,000, \15,000, and \20,000. Total 230 copies of questionnaire were completed. Conjoint experiment method was used to develop full restaurant profiles. Ordinal probit model was used to measure the effects of factor levels on the preference. Results of the study demonstrated that the ordinal probit model analysis result for the data also indicated a good model fit. The effects of factor levels on the preference were statistically significant. As expected, the estimates of implicit price to pay were statistically significant. Moreover, the customers were more willing to pay for local specialty than other factor levels. The customers also considered the food factor as a very important factor. This research suggested that the customer's decision-making process for restaurants was best modeled as a conjoint experiment method that combines various factor levels. And it showed the results could be used as good data for understanding the relationships between the factors and preference in choosing food and restaurants in tourist areas.

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Instruction Design and Satisfaction Analysis of Information Communication Ethics Education for Primary Schools by applying Conjoint Analysis (컨조인트 분석을 적용한 초등학교 정보통신윤리 수업 설계 및 만족도 분석)

  • Park, Chan-Jung;Moon, Jung-Hee
    • Journal of The Korean Association of Information Education
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    • v.10 no.2
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    • pp.241-248
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    • 2006
  • Recently, as the importance of the information communication ethics education has increased, the research about new instructional method or contents have been progressed actively. On the other hand, due to the advance of e-learning technology, instead of teacher-centered instruction, the development of learning contents and learning method for satisfying students' requirements is proceeded actively. In this paper, in order to increase the learning effect for information communication ethics education for primary school students, we propose a new way to design an instruction which considers the characteristics and the requirements of students. We decompose instructional design features into 4 components such as goal, model, contents, and media, and then we pose questionnaire to the 5th grade students of a primary school. After that, we analyze data by using the conjoint analysis. Based on the result of the conjoint analysis, we give instructions to two classes in order to compare the learning achievement of the two classes. Finally, by evaluating the students and analyzing their satisfaction levels, we diagnose the effectiveness of the proposed method.

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A Marketing Strategy for Unsold Apartments using Conjoint Analysis of Customer Preference (수요자 선호도 분석을 통한 미분양 아파트 마케팅 전략)

  • Lee, Kwang-Kyun;Lee, Joo-Hyung
    • The Journal of the Korea Contents Association
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    • v.13 no.10
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    • pp.556-564
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    • 2013
  • The main purpose of this research is considering further marketing strategy to resolve unsold housing matters in private sectors through an analysis of preference factors for those housing customers. This study used one of the most widely-used research methods in marketing to figure out the preference factors for those customers and then it was categorized which factors are more or less important by conjoint analysis. According to the result, the home buyers for the unsold apartments were more paying attention some social and financial benefits for instance, a decline of housing price and a guarantee of housing securities rather than geographical conditions and residential environment before they make the decision to purchase a home. Secondly, they concerned some factors such as the most importance in location and geographical condition which were easy access to the transportation. Furthermore, a standard of eco-friendly apartment buildings was essential matter in residential environment. The third, those properties were on the stocks of unsold homes so they more tended to buy their houses with lower price than the terms and conditions of housing payment. Finally, it was explored that the most efficient way to promoting them through housing exhibitions or presentations as the PR strategy.

Consumption Attribute Value Estimation of Digital Music Contents Service by Conjoint Analysis (컨조인트 분석을 통한 디지털 음악콘텐츠 서비스의 소비 속성별 가치 추정)

  • Shin, Dong-Myoung;Kim, Bo-Young
    • The Journal of the Korea Contents Association
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    • v.14 no.12
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    • pp.924-934
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    • 2014
  • In the last 10 years the digital music contents market has grown rapidly. However digital music contents product and services are not managed with product planning and price policy considered customer attitude and digital music contents values. This study is to define the value properties of digital music contents services based on streaming and download as genre, price, sound quality, and usage appliance, and suggest the strategic market price and service composition of digital music contents service by customer attitudes about the value properties. The research used the conjoint analysis methodology based on the hedonic price model and collected 405 questionaries by users of Korean digital music contents services to the analysis. Hence 'sound quality' in download platform, and 'appliance' in streaming platform were the elements to evaluate the customer attitude. The results present the music contents productions and companies have to provide the differentiated services and price by the value properties of user preference in the market.

A Study on the Brand Equity of Port using Conjoint Analysis (컨조인트 분석을 이용한 항만 브랜드 자산에 관한 연구)

  • 김근섭;정태원;곽규석
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2002.11a
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    • pp.45-51
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    • 2002
  • As the circumstances surrounding world ports have changed rapidly, Port competition to attract more cargoes is increasing fiercely. Especially, fierce competition to attract the increasing container cargoes has cause main container ports on only to invest enormous fund to modernize its port facilities but also to improve efficiency in port operation and management. But, it is hard to build differentiation strategy with general port operation according to investing continuously enormous fund into main ports. In this situation, port marketing like 4P mix is of the immediate necessity and in this point, this paper estimated Brand Equity that have risen the core ability of marketing strategy, to transshipment port using Conjoint Analysis. In this analysis result, this paper shows that the brand equity of port significantly devoted to selection of transshipment port. This means that brand of port can attract considerable transshipment cargo. Then it have to induce customer loyalty for this brand extension.

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An Analysis on the Preference of Consumers to the Choice Attributes of Beef Restaurant (소고기 전문식당 선택속성에 대한 소비자 선호도 연구)

  • Kim, Hyunmi;Chung, Lana
    • Korean journal of food and cookery science
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    • v.33 no.2
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    • pp.228-236
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    • 2017
  • Purpose: This study investigated beef restaurant's selection attributes using conjoint analysis in order to provide useful information to marketers and managers. Methods: A total of 320 questionnaires were distributed to consumers who visited a beef restaurant in August 2016, and 284 were completed (96.90%). Statistical analyses of data were performed using SPSS/Windows 22.0 for descriptive statistics and conjoint analysis. Results: The results of this study demonstrate the relative importance and level of each attribute for selecting beef restaurants. Price showed the greatest importance (34.86%), followed by origin of beef (27.52%), level of support services (25.72%), and variety of side dishes (11.90%). The optimum attribute combination was various side dishes (0.059), Korean beef (0.385), Very high service level (-0.291), and price of 8,000 won (-0.782). The most preferred beef restaurant gained 37.60% potential market share from choice simulation. There were significant differences in importance of attributes related to age of respondents. For respondents in their 20s and older than 50s, the first consideration was price. Respondents in their 30s considered the level of support services first while those in their 40s considered origin of beef first. Importance of attributes based on companion of respondents revealed that all respondents considered price first. Conclusion: This study contributes to development of marketing plans based on a customer's involvement level focusing on their primary selection criteria when choosing a beef restaurant. Additionally, marketers who manage beef restaurants can estimate the market share of imaginary beef restaurants from these results.

An Analysis on the Preference of Early Childhood Teachers in Horticultural Activities Based on Conjoint Analysis

  • Jeong, Yeojin;Kim, Mijin;Chang, Taegwon;Yun, Sukyoung
    • Journal of People, Plants, and Environment
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    • v.23 no.5
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    • pp.495-506
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    • 2020
  • Background and objective: This study conducted a conjoint analysis on early childhood teachers to find out their preferences in horticultural activities that are used as a means of education in early childhood education. Methods: For the conjoint analysis, five attributes of horticultural activities were selected. Attribute 1 was method of horticultural activities, divided into two levels: exclusive and integrated horticultural activities. Attribute 2 was object of horticultural activities, divided into three levels: fruit crops, vegetable crops, and floricultural crops. Attribute 3 was activity type, divided into three levels: big and small group, free choice, and outdoor play. Attribute 4 was place for horticultural activities, and divided into two levels: indoors and outdoors. Attribute 5 was time for horticultural activities, divided into two levels: 30 minutes and 30-60 minutes. The orthogonal design was used to extract 20 profiles, after which we conducted a survey on 320 early childhood teachers and analyzed the valid responses from 257 teachers. Results: The preference of early childhood teachers showed highest importance in object (29.1%), followed by activity type (23.2%), activity method (17.4%), time (16.1%), and place (14.2%) (Pearson's R = .591, p = .008). By level of each attribute, the importance was high in exclusive horticultural activities for activity method, big and small group for activity type, vegetable and floricultural crops for object, indoors for place, and 30 minutes for time. Conclusion: The horticultural program preferred by early childhood teachers is comprised of big and small group activities using vegetable and floricultural crops, carried out indoors for 30 minutes as an exclusive class.

Measuring Importance of Online Apparel Stores' Design Attributes Using Three Different Methods

  • Oh, Keunyoung;Lee, MiYoung
    • Journal of Fashion Business
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    • v.19 no.6
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    • pp.127-138
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    • 2015
  • Due to the virtual nature of online businesses, online apparel stores need to enhance the consumer experience by utilizing store design attributes to provide their customers relevant and sufficient information. Since online apparel stores mainly communicate with their customers virtually and digitally, it is important to understand how consumers perceive and react to different design attributes commonly found on apparel stores' online websites. The purpose of this paper is to examine the importance of design attributes commonly found on online apparel stores' websites using three different importance measurements. The design attributes examined in this study include enlarged pictures, product detail pictures, product reviews by other buyers, coordinating items, and size measurement charts. The three different measurements used in this study include two direct measures and one indirect measure using conjoint analysis. Across the three different measures, both the men and women indicated that enlarged pictures represent the most important design attribute when they purchase clothes online followed by size measurement charts and they considered the availability of coordinating items the least important design attribute.