• Asian Journal of Business Environment
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• v.9 no.4
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• pp.15-22
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• 2019

Purpose: Omni-channel retailing is a new retail phenomenon. Consumers in the omni-channel environment do not rely on one channel but integrate different channels from the same retailers freely during a particular shopping journey. The purpose of this study is to better understand omni-channel shoppers in the fashion retailing context. The present study uses consumer characteristics -- fashion innovativeness, technology innovativeness, and fashion purchase involvement -- as determinants predicting consumers' omni-channel shopping intentions for fashion products. Research design, data, and methodology: Data were collected from 403 U.S. consumers, and the Structural Equation Modeling (SEM) was performed to test proposed hypotheses. The survey for this research consisted of three parts. The first part measured consumer traits in terms of their innovativeness and purchase involvement. The second part was designed to measure consumers' omni-channel shopping intentions, and the third part gathered consumer demographic information. Results: The findings confirmed that fashion innovativeness, technology innovativeness, and fashion purchase involvement positively affected consumers' omni-channel shopping intentions. Conclusions: Fashion retailers should integrate various customer touchpoints and offer mobile-enabled technologies to boost consumer traffic to both online and offline stores. They also need to create a shopping environment that is optimized for customer engagement in various shopping processes and allow them to explore different shopping channel options for best purchase decisions.

• Nutrition Research and Practice
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• v.5 no.2
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• pp.163-168
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• 2011

This study was conducted to evaluate recipients' perception of service quality, satisfaction, and behavioral intention in home delivered meals program in the US. Out of 398 questionnaires, 265 (66.6%) were collected, and 209 questionnaires (52.5%) were used for the statistical analysis. A Confirmatory Factor Analysis (CFA) with a maximum likelihood was first conducted to estimate the measurement model by verifying the underlying structure of constructs. The level of internal consistency in each construct was acceptable, with Cronbach's alpha estimates ranging from 0.7 to 0.94. All of the composite reliabilities of the constructs were over the cutoff value of 0.50, ensuring adequate internal consistency of multiple items for each construct. As a second step, a Meals-On-Wheels (MOW) recipient perception model was estimated. The model's fit as indicated by these indexes was satisfactory and path coefficients were analyzed. Two paths between (1) volunteer issues and behavioral intention and (2) responsiveness and behavioral intention were not significant. The path for predicting a positive relationship between food quality and satisfaction was supported. The results show that having high food quality may create recipient satisfaction. The findings suggest that food quality and responsiveness are significant predictors of positive satisfaction. Moreover, satisfied recipients have positive behavioral intention toward MOW programs.

• The Research Journal of the Costume Culture
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• v.21 no.1
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• pp.42-56
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• 2013

Nowadays the advantages of multichannel retailing strategy in fashion business have been widely discussed, but empirical research on fashion retail has been limited. The purpose of this research is to provide some ideas on multichannel retailing strategy to fashion retailers through the case of UNIQLO. The online survey was conducted on each 100 female customers in their 20s, 30s, 40s living in seoul among UNIQLO customers. The survey was consisted of measurement items for UNIQLO's online store image and offline store image, customer satisfaction, purchase intention, and demographic attributes. The online survey was found that 30.3% of UNIQLO's multichannel customers bought a product from offline store using online shopping mall as a search channel, on the other hand, 20.7% of UNIQLO's multichannel customers bought a product from online store using offline store as a search channel. Factors of the online shopping mall image were consisted of shopping convenience, product information, price policy, trust. And factors of the offline store image were consisted of trust and store, product information, service. Some factors of online store and offline store image had impact on multichannel customer satisfaction. And, customer satisfaction also had impact on purchase intention of UNIQLO product. Some suggestion for the future of multichannel research in fashion retailing was given.

• International Journal of Internet, Broadcasting and Communication
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• v.9 no.3
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• pp.59-69
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• 2017

The best 'hub' to communicate with the citizen is using social media to marketing the business. However, there has several issued and the most common issue that face in critical is a capital issue. This issue is always highlight because most of automatic sentiment detection tool for Facebook or any other social media price is expensive and they lack of technical skills in order to control the tool. Therefore, in directly they have some obstacle to get faster product's feedback from customers. Thus, the personal online retailing need to struggle to stay in market because they need to compete with successful online company such as G-market. Sentiment analysis also known as opinion mining. Aim of this research is develop the tool that allow user to automatic detect the sentiment comment on social media account. RAD model methodology is chosen since its have several phases could produce more activities and output. Soppy tool will be develop using Microsoft Visual. In order to generate an accurate sentiment detection, the functionality testing will be use to find the effectiveness of this Soppy tool. This proposed automated Soppy Tool would be able to provide a platform to measure the impact of the customer sentiment over the postings on their social media site. The results and findings from the impact measurement could then be use as a recommendation in the developing or reviewing to enhance the capability and the profit to their personal online retailing company.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.1
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• pp.148-158
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• 2018

This study analyzes recent trends in fashion retailing instigated by the fourth industrial revolution and approaches the trends in terms of the convergence of big data and artificial intelligence. The findings are as below. First, companies like 'Edited' and 'Stylumia' offer solutions that support the strategic decisions of fashion brands and fashion retailers by analyzing big data using artificial intelligence. Second, the convergence of big data and artificial intelligence scales personalized service on the web as examples of 'Coded Couture', 'StitchFix', and 'Thread'. Third, the insights gained from artificial intelligence and big data help create new fashion retailing platforms such as 'Botshop' and 'Lyst'. Last, artificial intelligence and big data assist with design. 'Ivyrevel' designs digital fashion, assisted by a macroscopic perspective on fashion trends, market and consumers through the analysis of big data. The Fourth Industrial Revolution brings changes across all industries that will likely accelerate. The fashion industry is also undergoing many changes with advancements in scientific technology. The convergence of big data and artificial intelligence will play a key role in the future of fast-moving industry like fashion, where fickle tastes of consumers are the main drivers.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.12
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• pp.1318-1329
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• 2012

In-store atmospherics involve quantified physical and social aspects; however, the social quality of a web-based retailing context has largely been under-examined. This study addressed some antecedents and consequences of social ambience in virtual shopping (or e-social ambience) within a web-based U.S. retailing fashion context. This study explored the role of social cues as a viable antecedent to e-social ambience and emotions as its consequence. A conceptual framework was built postulating the effect of social cue for web content, on e-social ambience, emotions, and e-shopping enjoyment. The experimental results (n=488) on a fictitious retail T-shirt website confirmed the positive correlation among the variables; in addition, the level of social cues included within the web content significantly increased the level of customer-perceived e-social ambience of the website and subsequent positive on-site emotions. On-site emotions positively influence purchase intentions. The results expand the current understanding of e-store management by providing novel insight relevant to fashion companies that wish to provide customers with a quality website shopping experience.

• Human Ecology Research
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• v.53 no.6
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• pp.619-628
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• 2015

Baby boomers who have rebuilt the Korean economy over the last half a century are now transitioning into a silver generation who are over 65 years of age. New silver consumers are qualitatively and quantitatively different from the previous generation and are considered to be 'the single most consumption-leading generation.' The number of new silver consumers using department stores and traditional markets has increased. SPSS ver. 21.0 was used with the methods of frequency analysis, t-test, one-way analysis of variance (ANOVA), device master record test, and regression analysis. This research studies consumer satisfaction of new silver consumers on department stores and traditional markets among retailing. The improvement of the parking environment is the most urgent issue for traditional markets because the long-term assessments of parking areas indicate that it is necessary to provide improved convenience for consumers. Salesman satisfaction has improved and consumer satisfaction ranks salesman satisfaction high for traditional markets; however, price satisfaction is low and the distribution system should be improved to supply products at a lower price. Salesman and price satisfaction should be improved at depart stores. Traditional markets should also promote consumer satisfaction through consistent management to make consumers trust information in regards to quality control and production and distribution; in addition, department stores should increase consumer satisfaction by maintaining store systems such as product diversification and display, cleanness, and atmosphere.

• International Journal of Human Ecology
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• v.11 no.1
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• pp.11-22
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• 2010

The purpose of this study was to examine how congruity between self-image and store image affects a customer's satisfaction with the retailer, loyalty towards that retailer, and patronage behavior toward that retailer in a fashion retailing context. In addition to the direct effects of selfcongruity on consumer responses, the mediating roles of satisfaction and retailer loyalty were also examined. A convenience sample of 137 college students participated in an online survey. Path analysis showed that self-congruity had a direct effect on satisfaction, but not on retailer loyalty and patronage behavior. However, the effect of self-congruity on retailer loyalty and patronage behavior was fully mediated by satisfaction. Satisfaction had a positive effect on both retailer loyalty and patronage behavior. The effect of satisfaction on patronage behavior was partially mediated by retailer loyalty. As supported in the study, self-congruity can induce retailer loyalty. Given that retailers have direct control over developing a certain store image that affects perceptions of self-congruity of their target market, the findings of the study provide useful information for fashion retailers. The findings of the study add to current selfcongruity literature by extending to fashion retailing and also by examining the mediating roles of satisfaction and retailer loyalty on the effects of self-congruity.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.1063-1070
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• 2021

The study aims to investigate the role of consumer's social risk perceptions in retailing private label brands. Since private label brands are exclusively available at retail stores, consumers make their purchase decisions regarding them based on the image of that retail outlet. While buying them, risk perceptions are influenced by the retail store's image. The study identifies various retail store dimensions. For this purpose, primary data was collected using a survey questionnaire that was administered to a representative sample of retail store consumers in Riyadh. The data was analyzed and exploratory factor analysis was applied using SPSS 25 version to extract store image dimensions. The results showed six significant dimensions of retail store image namely 'Sales Staff', 'Promotion', 'Store Environment', 'Store Services', 'Product Assortment', and 'Customer Convenience'. Regression Analysis was performed and the effect of these retail store image dimensions was tested on social risk perceptions of consumers. Results indicate that store image dimensions significantly influence consumer's perceived social risk perceptions. However, the relationship is not consistent across all the six identified store image dimensions. The study brings forth several valuable consumer insights and the findings of the study have some very interesting and practical implications for retailers.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.983-992
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• 2021

This study aims to examine the impact of customer experience and customer engagement on customer satisfaction and customer loyalty in e-retailing in Indonesia. This study uses data from 512 respondents in six e-retailing namely; Bukalapak, Tokopedia, Lazada, Blibli, Shopee and Zalora which are often used by students at the Department of Management, Faculty of Economics and Business, Halu Oleo University of Indonesia. The structural model developed in this study was tested using Partial Least Squared (PLS). The results of the study found that there was a reciprocal relationship between customer experience and customer engagement. The results also found that customer experience and customer engagement have a positive and significant effect on customer satisfaction and customer loyalty. Customer satisfaction have a positive and significant effect on customer loyalty. In this study it was also found that customer experience has an indirect effect on customer satisfaction and customer loyalty through customer engagement, and customer engagement also has an indirect effect on customer satisfaction and customer loyalty through customer engagement. This study was focused on relationship between customer experience, customer engagement, satisfaction and loyalty. Therefore, future research is expected to be able to test the determinant factors of customer experience and customer engagement.