• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.1
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• pp.148-167
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• 2020

Today, digital shoppers express increasingly complex buying behavior. They can use multiple channels for shopping and also they can switch from one to another channel almost effortlessly, in the result of engaging in omnichannel shopping behavior. A few years ago, consumers were using brick and mortar stores to make their purchases. However, nowadays, they possess different digital devices (mobile and/or desktop) to search for different alternatives and to make a better shopping choice. These devices (mobile and desktop) are different and offer unique benefits to consumers. However, there has been very little research that has treated mobile and desktop devices separately. Perhaps this study is the pioneer when it comes to investigating the effect of regulatory focus (prevention vs. promotion) and chronotype (morning and evening person) on a sample of university students using desktop and mobile channels for their shopping. The findings from a sample of 312 digital consumers (mobile and/or desktop) confirmed that the desktop channel provides a greater fit for morning-type respondents and that the mobile channel offers better value for evening-type respondents in e-retail. Furthermore, promotion-focused shoppers favor the mobile channel, and prevention-focused shoppers favor the desktop channel. The new insights and contributions of this study provide a better understanding of digital consumers to help sellers to develop a more effective e-retail strategy.

• Journal of Distribution Science
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• v.22 no.7
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• pp.107-117
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• 2024

Purpose: Consumers have become more interested in eating organic food in recent decades because of the effect of merchants' advertising. Eating organic food is also shown to strengthen immunity, especially during the recent COVID-19 pandemic. However, consumers may find it more difficult to choose organic food retailers than to purchase conventional goods. This is because of the uncertainty characterizing the process of selecting organic food retailers, despite the growing rivalry across supermarket chains that sell organic goods. This study explores how consumers' perceived image (social responsibility and ability image) of organic food stores affects consumer loyalty. Research design, data and methodology: The data for the analysis were collected using Macromill Embrain, an online research service agency. The data were analyzed using SPSS 26 and Smart PLS 4.0. Results: Based on structural equation modeling, the findings of the study demonstrate that store image positively impactsstore loyalty, and that the mediator (perceived value) affects the relationship between the two variables. Conclusions: Organic food stores must understand consumers to improve store loyalty. Efforts such as providing a user community that enables joint behavior by sharing experiences among customers or launching campaigns to improve consumers' perceived brand identity can increase store loyalty.

• Fashion & Textile Research Journal
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• v.12 no.5
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• pp.591-598
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• 2010

Customer misbehavior can affect dissatisfaction and negative behavioral responses of other customers at the service encounter. This study explored other customer and retail employee reponses to customer anger and aggressive behaviors at the service encounter by examining the perceived wrongness of such behaviors under different situations and comparing the two perspectives of retail employees and consumers. Three scenarios were developed representing different situations including firm's responsibility, both of customer and employee responsibilities, and uncontrollable one. Data were collected from individual interviews with 222 retail employees and 149 consumers. The results showed that the consumers' perceived wrongness of customer aggressions were higher comparing to that of employees. The reasons of perceived wrongness were different by three situations implying that responsibility and controllability affected the perceived wrongness. The study further discusses implications.

• Journal of Fashion Business
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• v.13 no.3
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• pp.62-76
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• 2009

The purpose of this study is to identify apparel consumers' immoral shopping behaviors from apparel retail sales associates' perspectives. As a first step to understand immoral consumer behaviors in apparel retail setting, the study took an exploratory approach using five focus-group interviews with 35 apparel salespeople. The immoral behavior of fashion (product) consumers was divided into two categories: one was the immoral behavior associated with the product, and the other was the immoral behavior relative to the consumer. The immoral behavior associated with the product was classified into three types: shoplifting, inappropriate returns, and damaging to merchandise. Immoral behavior relative to the consumer was classified into two types: abusive behavior by a consumer toward sales associates and excessive demand. Although, shoplifting was the primary immoral behavior mentioned by all interview participants, most sales associates failed to recognize shoplifting as a serious criminal behavior. Another commonly mentioned immoral consumer behaviors was retail borrowing, which may pose serious problems to the fashion industry. The findings of this study will provide a basis for approaches that may help decrease immoral consumer behavior at fashion retail stores and provide a basis for developing materials for consumer education over the long term.

• Journal of the Korea Fashion and Costume Design Association
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• v.10 no.3
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• pp.27-36
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• 2008

This article aims to identify the current status of outsourced production of Dongdaemun brands and to discover the consumers' perception of those outsourced products, their degree of satisfaction, and preference in purchasing those products. Moreover, the strengths and weaknesses of the outsourced products, as perceived by the consmers, have been identified, and specific methods and directions for efficient overseas outsourcing of Dongdaemun brands are suggested. This study also contains experimental works, in which I have prepared questionnaires, and my advisor have collected data. This survey was conducted on corporation managers, who directly operated clothing stores in Dongdaemun Market in December 2007. The collected data have been analyzed using SPSS 12.0 with various techniques such as t-test, paired t-test, frequency analysis and $X^2$-test. The results are summarized as the following: a) Comparison of the current outsourcing status of Dongdaemun brands showed that only eight out of the total 42 investigated companies have actually been outsourcing the production of their clothes. The biggest advantage of outsourcing was the reduced unit production cost, while low quality of products, delayed production, difficulty of control and management were shown as its disadvantages; b) the reason for purchasing clothes in Dongdaemun Market was to buy various clothing products. Comparing these reasons among different groups showed that there was a significant discrepancy in terms of trend design and copy design, in which wholesale consumers had shown a higher degree than retail consumers; c) and the preference for outsourced products of Dongdaemun brands was negative in both wholesale consumers (71.05%) and retail consumers (83.54%), as they both prefer clothes manufactured in Korea. Both groups selected the expensive price as the biggest disadvantage of Korean products, and picked design as the biggest strength of the outsourced clothes. Furthennore, both wholesale consumers (63.16%) and retail consumers (74.68%) selected Italy as the most preferred country for outsourcing clothing production. in which their reason had been their expectation for good product quality. The least preferred country for both wholesale (47.37%) and retail (50.63%) consumers was China, a country which they expected poor product quality.

• The Research Journal of the Costume Culture
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• v.28 no.4
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• pp.409-419
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• 2020

Building on Technology Readiness and Acceptance Model(TRAM), the study aimed to examine how technology readiness affects consumers' perceptions of ease of use, usefulness, and risk, which in turn predict their intention to use retail service robots. Specifically, the study proposed that technology readiness motivators (optimism and innovativeness) would influence perceived ease of use and usefulness, while technology readiness inhibitors (discomfort and insecurity) would affect perceived risk. The study further examined if the perception factors (ease of use, usefulness, and risk) contribute to intention to use retail service robots. A survey method was used with data collected from Korean consumers. The final sample size was 418. The data was analyzed using structural equation modeling. Findings of the study revealed that technology readiness motivators positively affected perceived ease of use and usefulness while innovativeness had no impact on usefulness. All the inhibitors increased perceived risk. Lastly, as hypothesized, perceptions of ease of use, usefulness, and risk predicted intention to use retail service robots. This study extended the retail technology literature by applying and validating TRAM to the context of consumer acceptance of retail service robots. The study further helped marketers and retailers by highlighting the importance of technology readiness in improving consumer perceptions and responses towards retail service robots.

• The Research Journal of the Costume Culture
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• v.31 no.4
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• pp.452-466
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• 2023

This study focused on how retail tech promotes differentiated customer experiences in offline fashion stores. The purpose of this study is to determine the effects of the characteristics of fashion retail tech stores on consumers' flow and satisfaction. We surveyed Koreans aged 10 to 50 who had experienced offline fashion retail tech stores. The survey was conducted from April 28, 2023, to May 21, 2023. The total number of survey respondents was 200. The quantitative data collected through questionnaires was analyzed using SPSS 25.0. To reveal the effects of fashion retail tech store characteristics on consumer's flow and satisfaction, frequency analysis, we conducted frequency analysis, factor analysis, reliability analysis, correlation analysis, and regression analysis. The results of this study, figured out that fashion retail tech store's characteristics, including playfulness, efficiency, interaction, and information provision, have a significant impact on behavior flow, emotional flow, and satisfaction. As a result of analyzing the influence of consumers' flow led to satisfaction, it was confirmed that emotional flow positively influenced satisfaction, but behavioral flow had no meaningful effect on satisfaction. The results of our study can be used to make a successful marketing strategy and can serve as foundational data for consumer research on retail-tech-applied offline fashion stores.

• 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.

• Journal of Distribution Science
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• v.19 no.7
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• pp.87-100
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• 2021

Purpose: This paper examined the role of conditional value in the green automotive industry. The relationships of conditional value's four factors, consumers' attitudes and consumers' intention to purchase green cars were investigated. The conditional value was extended by examining the effect of fuel prices. Research design, data, and methodology: This study is quantitatively designed. All variables were measured using a 7-point Likert-scale; 425 questionnaires were collected from the respondents in Malaysia. SmartPLS was utilized to examine the proposed nine hypotheses. Result: The results demonstrate a positive relationship between attitude and intention toward green cars. Additionally, the results of the relationships were as follows: fuel prices was the most significant predictor of Malaysian consumers' attitudes and consumers' intention to purchase green cars, followed by environmental consequences and government policy. However, retail sales promotions did not show a significant effect on both consumers' attitudes and intentions. Conclusion: The study's findings suggest that the Malaysian government should implement an integrated package that includes a fuel pricing policy that restricts the purchase of non-green cars, as well as a set of financial incentives for purchasing green cars. Moreover, it is valuable to conduct public awareness campaigns about the negative consequences of current consumption patterns.

• Journal of Distribution Science
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• v.10 no.11
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• pp.21-30
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• 2012

Purpose - This study aimed to analyze the strategy of late domestic entrants into the Chinese retail market, focusing on the case of Lotte-Mart, given that there are few studies on market entry strategies of domestic retail companies in China. Research Design, data, methodology - The methodology of this paper is a case study approach, focusing on literature reviews and a few interviews. We conducted a survey by disseminating questionnaires and conducting interviews focusing on the Chinese retail market, and analyzed Lotte-Mart's market entry strategy in China. Results - Lotte-Mart chose M&A as the mode of entry, pursuing quick market entry and rapid expansion. It chose small to medium size cities with relatively less competition. Subsequently, Lotte-Mart devoted significant effort towards localization, attempting to organize stores and assorting products to fit the Chinese consumers' preferences. It operated CSR programs to increase its brand awareness and to create a favorable brand image. Conclusions - Lotte-Mart now needs to devise alternative corporate strategies for business expansion and growth. An understanding of the Chinese retail market and the case study analysis of Lotte-Mart's market entry strategy offers significant insights for domestic retail companies looking to expand into China.