• Journal of the Korean Society for Precision Engineering
• /
• v.33 no.5
• /
• pp.349-356
• /
• 2016

This study investigates the effects of convergence firefighter helmet attributes on consumer attitude toward the product and willingness-to-pay. The results of empirical analysis are as follows. First, consumer attitude toward the convergence product is more favorable when conciseness, economical efficiency, and the utility value of the convergence product's attributes are high, while consumer attitude toward the convergence product is less favorable when the perceived risk of the convergence product's attributes is high. Second, consumer willingness-to-pay for the convergence product is higher when conciseness, economical efficiency, and the utility value of the convergence product's attributes are high, while consumer willingness-to-pay for the convergence product is lower when the perceived risk of the convergence product's attributes is high. Based on our results, the implications are discussed for the further development of convergence products.

• Journal of Information Technology Applications and Management
• /
• v.24 no.4
• /
• pp.93-115
• /
• 2017

The ability of smartphones to facilitate various services like mobile banking, e-commerce and mobile payments has made them part of consumers' lives. Conjoint analysis (CA) is a marketing research approach used to assess how consumers' preferences for products or services develop. The potential applications of CA are numerous in consumer electronics, banking and insurance services, job selection and workplace loyalty, consumer packaged goods, and travel and tourism. Choice-Based Conjoint (CBC) analysis is the most commonly used CA approach in marketing research. The purpose of this study is to utilise CBC analysis to investigate the relative importance of smartphone attributes that influence consumer smartphone preference. An experiment was designed using Sawtooth CBC Software. 326 students attempted the online survey. Utility values were derived by Hierarchical Bayes (HB) estimation and used to explain consumers' smartphone preferences. All the six attributes used for the study were found to significantly influence smartphone preference. Smartphone brand was the most important, followed by the price, camera, RAM, battery life, and storage. This study is one of the first to use Sawtooth CBC analysis to assess consumer smartphone preference based on the six attributes. We provide implications for the development of new smartphones based on attributes.

• Journal of the Korea Convergence Society
• /
• v.7 no.5
• /
• pp.181-188
• /
• 2016

This study investigated consumer convergence preferences for healthcare information service in social media using the multi-attribute utility theory. The multi-attribute utility theory is an approach for compositional modeling attributes wherein researchers compute the overall service utility by aggregating the evaluation results for attribute values. We found that healthcare information service consumers in social media evaluate the service preference through the multi attributes - Update, Cost, Usefulness, Usability, Reliability. And the study shows that individual preference by estimating weight of each attribute in the services influences the service use intention. So we believe that estimating preferences with multi-attribute utility theory will predict business success of the services in a new media, and for a successful business of the social media services marketers should assess the consumer's preference using the multi-attributes.

• Journal of Information Technology Services
• /
• v.15 no.2
• /
• pp.21-33
• /
• 2016

Recently, T-Commerce is emerging to provide new services, with the proliferation of digital broadcasting services. However, T-Commerce market and TV home shopping market are being classified as a legal policy on other markets, such as regulated in the service of live broadcasts. The factor that has inhibited activation T-Commerce related to the lack of appropriate institutions and legal systems in the market, despite the environment with the digital broadcasting service is being spread. We were performed conjoint analysis. For this analysis, we select attributes as a quality attractive factors that significantly affects the satisfaction of TV based shopping customers through previous studies. The results showed that the TV-based shopping customers are important to think 'Responsive', 'Playfulness', 'Live broadcast', 'Convenience' and 'Bidirectional' in the order. The 'Responsive' and 'Live broadcast' of such attributes are served as possible only in TV home shopping, because these attributes don't service due to legal and institutional regulations in T-commerce market. The cluster analysis result also showed that TV shopping consumers are more important to think 'Responsive', 'Playfulness', 'Live broadcast' than 'Convenience' and 'Bidirectional', except one of the classification clusters. If real-time broadcast service is impossible because of the legal and institutional regulations, it seems to require the expansion of the services linked the terrestrial broadcasting to the activating T-Commerce market.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.29 no.11
• /
• pp.1475-1484
• /
• 2005

The purposes of this study were 1) to examine the dimension of fashion shopping mall attributes and shopping value related to online shopping, and 2) to investigate the effects of fashion shopping mall attributes and shopping value on purchase intention in online shopping. Data were obtained from 423 online fashion shopping mall consumers who have experiences of buying products or visiting to online fashion shopping mall in Busan, and were analyzed using by factor analysis, Cronbach's alpha, path analysis of LISREL 8.53. The results showed online fashion shopping mall attributes were composed of Visual information, Loading speed Space composition, Product assortment, Checkout service, and Help desk. Shopping value perceived by online fashion shopping mall consumers were consisted two factors: Hedonic value and Utility value. Hedonic value and Utility value Perceive by online consumers were influenced by Product assortment, Visual information, Help desk, and Space composition of shopping mall. Additionally, hedonic and utility shopping values perceive by online consumers impacted online purchase intention. Findings suggest that fashion shopping mall attributes mediated by shopping values are important in predicting purchase intention of online shopping mall. Implications are drawn for the information useful to consumer behavior researchers and retailers of online fashion shopping mall.

• Asia pacific journal of information systems
• /
• v.18 no.3
• /
• pp.1-20
• /
• 2008

Based on the multi-attribute utility theory (MAUT), we present a survey method to measure consumer preferences. The multi-attribute utility theory has been used to make decisions in OR/MS field; however, we show that the method can be effectively used to estimate the demand for new services by measuring individual level utility function. Because conjoint method has been widely used to measure consumer preferences for new products and services, we compare the pros and cons of two consumer preference survey methods. Further, we illustrate how swing weighing method can be effectively used to elicit customer preferences especially for new telecommunications services, Multi-attribute utility theory is a compositional approach for modeling customer preference, in which researchers calculate overall service utility by summing up the evaluation results for each attribute. On the contrary, conjoint method is a decompositional approach, which requires holistic evaluations for profiles. Partworth for each attribute is derived or estimated based on the evaluation, and finally consumer preferences for each profile are calculated. However, if the profiles are quite new and unfamiliar to the survey respondents, they will find it very difficult to accurately evaluate the profiles. We believe that the multi-attribute utility theory-based survey method is more appropriate than the conjoint method, because respondents only need to assess attribute level preferences and not holistic assessment. We chose swing weighting method among many weight assessment methods in multi-attribute utility theory, because it is designed to perform in a simple and fast manner. As illustrated in Clemen and Reilly (2001), to assess swing weights, the first step is to create the worst possible outcome as a benchmark by setting the worst level on each of the attributes. Then, each of the succeeding rows "swings" one of the attributes from worst to best. Upon constructing the swing table, respondents rank order the outcomes (rows). The next step is to rate the outcomes in which the rating for the benchmark is set to be 0 and the rating for the best outcome to be 100, and the ratings for other outcomes are determined in the ranges between 0 and 100. In calculating weight for each attribute, ratings are normalized by the total sum of all ratings. To demonstrate the applicability of the approach, we elicited and analyzed individual-level customer preference for new telecommunication services-WiBro and HSDPA. We began with a randomly selected 800 interviewees, and reduced them to 432 because other remaining ones were related to the people who did not show strong intention for subscription to new telecommunications services. For each combination of content and handset, number of responses which favored WiBro and HSDPA were counted, respectively. It was assumed that interviewee favors a specific service when expected utility is greater than that of competing service(s). Then, the market share of each service was calculated by normalizing the total number of responses which preferred each service. Holistic evaluation of new and unfamiliar service is a tough challenge for survey respondents. We have developed a simple and easy method to assess individual level preference by estimating weight of each attribute. Swing method was applied for this purpose. We believe that estimating individual level preference will be quite flexibly used to predict market performance of new services in many different business environments.

• Fashion & Textile Research Journal
• /
• v.10 no.2
• /
• pp.164-172
• /
• 2008

This study explores the attributes of the on-line shopping products and prices, and their effects on the customer satisfaction. In doing so, the sample population has been segmented according to their shopping propensity of consumption on clothing to understand the group differences. Based on the previous researches, the researcher have chosen four important characteristics of the customer's shopping propensity. The number of iteration on factor analysis revealed that the sample population can be classified into three different groups; the convenience/pleasure-seeking group, the fashion/utility-seeking group, and the unconcerned group. The significant group differences resulted on the following study variables; the product assortment, the price rationality, and the value of the price. Also, from the product aspect, the characteristic, the assortment, and the expression in order, explained the significant portion of the Y variance. While, on the aspect of price, the rationality, and information in order, significantly contributed on the customer satisfaction.

• Journal of the Korean Home Economics Association
• /
• v.43 no.7 s.209
• /
• pp.117-128
• /
• 2005

The purposes of this study were 1) to examine the conceptual structure of shopping value, fashion shopping mall attributes and emotions related to internet shopping, 2) to compare between hedonic consumers and utility consumers of fashion shopping mall attributes, emotions and purchasing intention and 3) to investigate the effects of shopping value, fashion shopping mall attributes, emotions and purchasing intention on purchasing behavior in internet fashion shopping malls. Data were obtained from 423 internet fashion shopping mall consumers who have bought products or visited an internet fashion shopping mall. The data were analyzed by using factor analysis, Cronbach's alpha, t-test and discriminant analysis. The results showed that shopping values perceived by internet fashion shopping mall consumers consisted of two factors: Hedonic value and Utility value. Internet fashion shopping mall attributes were composed of Visual information, Loading speed, Space composition, Product assortment, Checkout service and Help desk. Emotions were composed of Excitement Confidence, Displeasure and Uneasiness. There results demonstrated that hedonic consumers were more likely to perceive the factors of fashion shopping mail attributes, to experience various, emotions and to have more purchasing intention than utility consumers. Additionally, the findings suggest that shopping value is important in predicting the purchasing behavior of consumers' at internet fashion shopping malls. They gave insights into the promotion development of internet fashion shopping malls. Implications are drawn for the information useful to consumer behavior researchers and retailers of internet fashion shopping malls.

• Smart Media Journal
• /
• v.9 no.4
• /
• pp.73-80
• /
• 2020

With the advent of the Internet era, consumer lifestyles have been changed tremendously, and mobile payment has carried out an increasingly extensive coverage of the people's life trajectory. Taking the design of the mobile payment interface as an example, we use a conjoint analysis method to survey college students in Guangxi, where questionnaires are collected from 270 people in different groups according to gender. The method separates the attributes that affect consumer choice of mobile payment interface design and the utility value of the attribute level to analyze consumer needs and preferences, and then obtains consumers' potential evaluation criteria for mobile payment interface design. The results of the study show that the attributes that influence consumers' choice of mobile payment interface design are, in order of preference: page layout, identification convenience, verification, module distribution, entertainment, and information encryption. Consumer groups of different genders show differences in their preferences in the mobile payment interface design and Consumer needs reflect consumer psychology. Several findings are obtained on the consumers' preferences on the mobile payment interface design, which may be used to improve future design processes.

• Journal of the Korean Society of Food Culture
• /
• v.34 no.6
• /
• pp.719-725
• /
• 2019

This study examined the relative importance and the effective utility of fermented milk by consumers. The questionnaire was developed by an in-depth interview and literature review and was surveyed on-line. Statistical analysis was carried out descriptive analysis, ANOVA, paired t-test, and conjoint analysis using the SPSS package. First, an analysis of the consumption status of fermented milk found that the consumption frequency was 1-2 times/week (36.2%), 3-4 times/week (26.5%). The product choice attributes of fermented milk were found to be the same with 'taste' (3.93) and 'manufacturing date/expired date' (3.92), rated the highest, followed in order by, 'sanitary quality' (3.82), 'origin of ingredient' (3.81). Comparative analysis of the importance and satisfaction level of the choice attributes of fermented milk showed that the choice attributes with lower satisfaction compared to importance were 'taste', 'nutrients', 'manufacturing data/expired date', 'sanitation quality', 'price', 'manufacturing method' and 'certification of quality' (p<0.001, p<0.01). 'Price' and 'certification of quality' were the choice attributes of fermented milk classified as 'Focus Here' because of its high importance and low satisfaction. The preferred combination of relative importance in choice attributes of the fermented milk was 'domestic resource', 'Eat with spoon', and 'none additives'. Therefore, it is believed that sales will increase if dairy companies can improve the 'price' and 'certification of quality'. In addition, the use of domestic ingredients in the development of new fermented milk products in the future could be an important marketing factor in consumer choice.