• Journal of Technology Innovation
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• v.27 no.4
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• pp.111-144
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• 2019

As virtual assistants rapidly diffused into the market, the voice shopping market is expected to expand. The purpose of this study is to identify the factors that determine the consumers' intention to adopt voice shopping by using the unified theory of acceptance and use of technology(UTAUT). In this study, we set variables that influence the intention to adoption of voice shopping with performance expectation and effort expectations as the variables of UTAUT and playfulness expectations as an extended variable. In addition, we also include four voice secretary attributes such as response accuracy, compatibility, social presence, and safety in our research model to investigate the source of motivation of voice shopping adoption. The result of this analysis shows that variables such as performance expectation, effort expectation, and amusement expectation have a positive effect on the intention to adoption of voice shopping. With respect to the four voice shopping attributes, compatibility had a positive effect on performance expectancy, effort expectancy, and playfulness expectancy. Social presence has a positive effect on playfulness expectancy. Safety has a positive effect on effort expectancy and playfulness expectancy. On the other hand, response accuracy is not significant for performance expectancy, effort expectancy, and playfulness expectancy. This study reveals the determinants of intention to adopt the new purchasing method called voice shopping, and suggests the important factors for the innovation of commerce business.

• Journal of the Korean Dietetic Association
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• v.1 no.1
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• pp.54-65
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• 1995

Commissary school foodservice system has been expanded rapidly in elementary foodservices in Korea. Therefore, it is essential that cost effectiveness should be assessed by comparing between alternative systems. The objectives of this study were to assess the effects on meal costs of foodservice systems and other school characteristics in terms of meal costs/day per 1 person ; to examine financial management practices and dietitians' perception concerning importance of school foodservices financial management. A total of 16 commissary schools in nationwide and 102 conventional schools at Chungnam province and Seoul were participated in this survey by mails. The results are as follows 1. Average meal costs per one person was 1,232.6 won evaluated on the standards of monthly budget basis on June, 1994. Average food costs per one person was 836.1 won(67.83%), average labor cost was 320.1 won(25.97 %) and operation costs was 76.3 won(6.2 %). 2. Average meal costs per one person did not show any significant difference between commissary and conventional foodservice schools. Meal costs of the island type and the rural type were significantly higher than those of the urban type. Meal costs of schools in Chungnam and other province were higher than schools in Seoul. The schools with less than 200 feeding numbers were higher than the schools more than 201 in meal costs per one person. 3. Food costs per one person were higher in the urban type, especially in Seoul, as the scale of feeding number increased. Labor costs and operational costs were increased in island type as well as in the schools of small feeding numbers. 4. Foodservice teachers, not dietitians were in charge of foodservice duties at the 75 % of satellites. Dietitians participated in the satellite foodservice duties were only averaged at 2.19 visits per month of 20 feeding days. 5. Items which influenced by food costs per person at the step of foodservice production were purchasing method, the perception of inventory, the distributor for foodservice, and usage of standardized recipes.

• Journal of the Korean Society of Costume
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• v.62 no.4
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• pp.46-57
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• 2012

Consumers currently show cross-channel shopping behavior between the Internet and store-based retail types when searching information and purchasing sensory products such as fashion items to reduce risks. As consumers compare both types of stores before making a purchase decision, the Internet retail type and store-based retail type started conflicting/competing each other as the combined retail evolution theory proposed(Kim & Kincade, 2006). The purpose of this study is to examine consumers' cross-channel shopping behavior between the Internet and store-based retail types and their importance and satisfaction with information provided by the Internet retail stores. This study employs a quantitative research method using a survey. Demographics, types of stores used for purchase, satisfaction with the type of stores, Internet shopping behavior, importance and satisfaction with product information in the Internet retail stores were asked. MANOVA and descriptive statistics were used to test hypotheses. The result shows that a majority of participants(36.2%) shows cross-channel shopping behavior between the two retail types. Also, most participants(72.4%) decide on their purchase and are satisfied only after cross-channel shopping between the two retail types. Participants were grouped based on their information search and purchase behavior. Significant differences among the groups were found in importance and satisfaction with product information provided by the Internet stores. In measuring participants' satisfaction, a majority of participants(42.1%) showed satisfaction with their purchase at store-based retail stores after information search via the internet, followed by the satisfaction with the purchase at the internet retail stores after information search at store-based retail stores(30.3%). Fifty one point nine percent of participants search information via the internet(vs.48% at store-based retail stores), and they especially look for fiber contents and design details with pictures(37.4%). The satisfaction with price information provided by the Internet retail stores is the highest (m=3.70 out of 5.0) among fashion product information followed by design information(m=3.48). On the other hand, size information, refund/exchange and fiber content information received low satisfaction scores(m=2.81, 2.71, 2.57 in turn). This research suggests the Internet retail stores should provide more variety of information in detail using technology and improving customer services. This study could provide the Internet retail stores a guideline to establish a satisfactory information delivery system.

• Information Systems Review
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• v.17 no.1
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• pp.117-140
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• 2015

Cloud Computing has drawn attention as one of 10 IT strategic technology trends and has various advantages such as cost reduction and enhancing business flexibility. However, corporations hesitate to adopt the service because of unexpected risks. Especially compared to large firm, medium and small ones use public cloud that security risk is high. Meanwhile, real option strategy has drawn attention as the method to hedge uncertainty in IT projects. Therefore, in this study causal relationships among technical, security, relational, and economic risks of cloud service will be investigated. Eventually, this study investigates how those risks influence the intention to choose the real option about the cloud service. For this study, five hypotheses is drawn, and a survey is conducted about the medium and small firms which are currently using cloud service to examine hypotheses. Since the study is at organizational level, 287 questionnaire replies are recalculated to 120 firms. For statistical analysis, Smart PLS and SPSS Statistics18 are used. As a result, technical risk of cloud service has significantly positive influence on security risk. Second, security risk and relational risk of cloud service has significantly positive influence on economic risk. Third, economic risk of cloud service has significantly positive influence on the intention to purchase the delay option or abandon option. Based on this result, this research discussed practical and academic implications and the limitations.

• Journal of Distribution Science
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• v.13 no.5
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• pp.45-52
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• 2015

Purpose - Augmented reality (AR) content used in mobile media today can accommodate a wide variety of contextual information. This indicates that making people experience a sense of presence and flow is a very significant factor in augmented reality content. Flow represents a rich immersion potential as representing the progress of emotion and the means to facilitate the operation of the smart phone. Therefore, users will have friendly relational continuance behavior with products and brands that supply this experience. Based on that, the purpose of this study is to investigate the relationships among smart phone AR application traits, presence, flow experience, and relational continuance behavior. First, AR application traits are defined as three categories sensory immersion, navigation, and manipulation, based on preceding studies. This study then examines the influence of AR application traits on the presence and flow experience and looks into the relation among presence, flow experience, and relational continuance behavior. This analysis suggests more detailed and concentrated strategic implications. Research design, data, and methodology - A research model is designed to examine the relation among AR application traits, presence, flow experience, and relational continued behavior. For data collection, questionnaire surveys were composed of multi-items for each component and the direct interview method was used for the interviews. To collect the data, after running the smart phone AR applications, the consumer behaviors of the respondents were generally determined. The questionnaire surveys were conducted for one month, October 2014. A total of 300 questionnaires were distributed with 278 questionnaires used for analysis, excluding the unanswered and insincere questionnaires. The data were analyzed using SPSS ver. 20.0 and LISREL ver. 8.51. Results - The following results are found: First, AR application traits have a significantly positive effect on presence with sensory immersion, navigation, and manipulation all having a significantly positive effect. Second, sensory immersion and manipulation among the AR application traits have a significantly positive effect on flow. However, navigation did not have a significantly positive effect on flow. Third, presence has a significantly positive effect on flow and has a significantly positive effect on relational continuance behavior. Moreover, flow also has a significantly positive effect on relational continuance behavior. This behavior tends to be formed since brands want to encourage relational continuance behavior and positive emotions with the brands being used. Relational continuance behavior accompanies repeat purchasing, positive word-of-mouth and recommendation activities, and forms of trust with the brand. Conclusions - The research results showed that smart phone AR traits had significantly positive effect on presence, flow, and relational continuance behavior. Based on this, smart phone AR application providers should establish an aggressive marketing strategy to accommodate more realistic problems in order to positively influence user behavior. Additionally, the marketers should make efforts to provide fun or convenience in the AR application operation process of the user.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.2
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• pp.276-287
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• 2009

Apparel professionals need to understand the customer to effectively develop, select, and promote apparel products. Analysis of consumer preferences can help in the creative design process. Therefore the purpose of this study was to identify consumer preference by gender in two segmented group; $20{\sim}34$ aged group and $35{\sim}49$ aged group toward men's apparel consumers, considering target customers and female influences on men's wear purchasing. We used questionnaires that were distributed to 600 males and females aged in their 20s to 40s, using stratified sampling method. Only 547 reliable questionnaires were selected for statistical analysis. Chi-Square and t-test were used to analyze the data, using SPSS program. We obtained the following results: 1. We found that there was a significant association between segmented age group and the preference of men's jacket style. Specially $20{\sim}34$ aged group had a significant association with styles of formal jacket, casual t-shirts, casual pants, but $35{\sim}49$ aged group had formal pants style. Looking at the general percentage, semi-formal jacket, slim fit t shirt, straight casual pants were the most favored styles. 2. Age has an significant effect on the preferences of formal menswear fabric patterns and shirt patterns. The results of t-test showed that there found to be significant by gender in character and check pattern of shirts. 3. In design details, the number of button had not significance by gender, and 2 buttons was th most favored by both age groups. The number of gather at the waist had an significant association in $34{\sim}49$ age group. $20{\sim}34$ age group prefer high waist of pants, while $35{\sim}49$ age group prefer low waist of pants. 4. For on time outfit, formal wear and tie ensemble was the most favored with significant difference by age and gender. Formal wear and no tie ensemble favored by about one third of respondents, and more favored by the younger group. For off time outfit, casual jacket and casual pants ensemble was the most favored.

• Information Systems Review
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• v.13 no.1
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• pp.75-96
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• 2011

This research uses coolhunting to predict the future trend of e-Commerce industry. Coolhunting is a method to take Cool Trends which are the future trend through social network analysis for discovering the trendsetter and its collective intelligence. Coolhunting is generally carried out by social network analysis while this research uses NodeXL of social network analysis tools. We designed industrial network research model for relation among e-Commerce corporation, product, the types of customer service and customer service employee to discover the Cool Trends of e-Commerce industry. According to the result of this research, e-Commerce industrial network was being changed from chaos to collective intelligence form. As a analysis result for network influences, we found that Cool Trends of e-Commerce industry invigorate social commerce industry through the collective intelligence focusing intelligence VIP, Excellence, grade of Administrating for women customers(trendsetter) and it promotes semantic consumption from customers and purchasing power will be concentrated on cosmetic, beauty, perfume product categories in social commerce. We propose the strategic direction for e-Commerce corporation and hope that domestic e-Commerce corporation continues to grow and high-quality services are provided for customers.

• Asia pacific journal of information systems
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• v.18 no.1
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• pp.117-144
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• 2008

Lots of virtual communities and online businesses presently derive their primary sources of revenues through advertising, but nevertheless are plagued with marginal profitability though they might possess a significant user base. In the light of the need for an efficacious business model, there have been recent insights of an online community in particular reaping profits through an innovative and lucrative revenue generation method that earns by selling digital items. There have been some obvious evidences (e.g., Cyworld, SecondLife, Habo Hotel, etc.) that online communities can be profitable through their unique business model of selling digital items. However, there is lack of understanding about the motivation of purchasing digital items. This study tries to identify the main motivators of digital item purchases based on social/individual identity theory and self-presentation theory. "Digital items", otherwise known as "virtual assets", may include online avatars, accessories for the avatars, decorative ornaments like furniture, digital wallpapers, skins, background music and virtual weapons used for Internet games. These digital items are employed by users for representation and articulation in the online space, especially to create and enhance their online profiles in web pages and games. Prices for digital items typically range from a few cents to a few dollars each. Based on the theoretical framework like social identity theory and self-presentation theory, we developed the research model and proposed seven hypotheses. An analysis of 225 members of Cyworld found that digital item purchase intention in virtual world is affected by both members' need for self-presentation and need for affiliation. We also found that the need for self-presentation is significantly increased by innovativeness of members, community group norm, and community involvement. We concluded that the need for self-presentation could be a key variable for profitable business model in online community service industry. However, neither individual self-efficacy nor the need for affiliation significantly influenced the need for self-presentation which triggers purchase intention of digital items. In term of the theoretical and practical contribution, this study can be a pioneering empirical research that investigates the purchase intention of digital items based on social identity theory and self-presentation theory in the online context. Also, the findings of our study are valuable and practical for practitioners in the market who wish to adopt or improve the business model of selling digital items in an online community. From the findings, it can be seen that innovativeness of users, community group norm, and community involvement are three significant factors that influence need for self-presentation of users which ultimately leads to their intentions to buy digital items. These findings put forth that virtual community providers and online businesses selling digital items should prioritize their efforts and focus on these three factors if they want to increase the sales of these digital items and generate greater revenues. This study provides important implications for academic researchers and practitioners to understand why the community members pay money for their digital items in virtual world and how the practitioners can increase the sales of digital items in an online community. A couple of limitations of the study and future research directions are also discussed.

• Journal of Fashion Business
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• v.1 no.2
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• pp.55-64
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• 1997

This study adapted OSL (Optimum Stimulation Level) to induce the customer's behavior, especially customer's fashion behavior. The purpose of the fashion advertisement was to accelerate the purchasing desire for the clothes by catching the customer's attention. OSL is one of the methods. OSL can satisfy customers' desires using the new stimulation that reveals a customer's individual characters. In general, women are more concern about fashion and sensitive to the clothes of new fashion than men. But nowadays, many of the men are also concern about their appearance and fashion. The differences between men and women in fashion behavior and in each factor, of OSL, especially a relationship between OSL factor and fashion behavior are researched in this study. Such differences analyzed to find the sources that can satisfy their various desires. This study was expected to provide good information to plan advertising strategy in unpredictable market situation. The subjects for this study were 308 male and female university students. Mehrabian and Russell (1974),s ASTS(Arousal Seeking Tendency Scale) was adapted to measure the OSL, and twenty questions regarding fashion leadership and clothing importance released by Kwon, Shin, Lee, are adapted to measure the fashion behavior. An ANOVA was used as statistical analyzing method to find out the difference between men and women in fashion behavior. The relationship between fashion behavior and difference between men and women in OSL factors were measured by MANOVA. Conclusions were as follows; 1. In consciousness degree of fashion leadership and clothing importance in the fashion behavior, women were higher than men. 2. There was a difference between men and women in OSL's each factors in "unusual stimuli" and "sensuality", but there is no significant statistical difference in factors of "change", "risk", "new environment". Therefore women are higher than men in the stimulation level of "unusual stimuli" and" sensuality". 3. Low element of OSL relating to fashion behavior is from "change" and "unusual stimuli". 4. For the relationship between OSL and fashion behavior, fashion leadership and clothing importance were recognized better in the group of higher level of "change" and "unusual stimuli" irrespective of sex. In the case of "change" which is one of OSL factors, High OSL groups were higher than low OSL groups in the consciousness level of the fashion leadership and clothing importance. In men's case, High OSL-Change groups were higher than Low OSL-Change groups in the fashion leadership, but there was no difference between two groups in the consciousness of the clothing importance. In the case of "Unusual Stimuli", High OSL groups were superior to Low OSL groups in the fashion leadership, but there was no significant difference between two groups in the clothing importance. In women's case, High OSL-Change groups were superior to Low OSL-Change groups. In the case of "Unusual Stimuli", High OSL groups were superior to Low OSL groups in the fashion leadership, but there was no difference between two groups in the clothing importance.

• Korean Journal of Food Science and Technology
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• v.31 no.2
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• pp.448-457
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• 1999

Citrus fruits are consumed worldwide due to their unique flavor and nutrition value. It is necessary to remove the haze material as well as to minimize the loss of major compounds such as organic acids, sugars, and ascorbic acid in membrane processes for clarification of juice. The objective of our research was to select the best membrane among one surface filter (Whatman No.4) and five microfiltration filters (GF/A, GF/D, GF/F, Gelman, and SM). Tangerine fresh blended with three times of water was partially clarified with 170 mesh followed by prefiltration in a Samduck filtration system. The best membrane was selected by measuring the amounts of major compounds in the permeates as well as the flux which were statistically analyzed with SAS program. The foulants on the membrane surface were observed by SEM. The flux of GF/A and GF/F decreased with time at probability 0.10. Gelman, SM, and GF/D maintained the stable flux. Gelman showed the highest total scores including nutritive value (the amounts of citrate, malate, and ascorbic acid) and purchasing need (brix and color). Therefore, the microfiltration membrane process was a very effective method in tangerine juice clarification and Gelman type A/E was proved to be the best membrane among the five microfiltration membranes.