• Journal of Distribution Science
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• v.20 no.12
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• pp.35-42
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• 2022

Purpose: The purpose of this study was to determine the effect of utilitarian value, hedonic value, channel integration quality on Omni-Channel Shopping Intention and shopper satisfaction in the e-commerce industry in Indonesia. Research design, data and methodology: This research method uses quantitative research methods with purposive sampling technique. The hypothesis was tested using SEM-PLS. Results: Based on the results of the analysis and discussion, it can be concluded that there is an influence between the Utilitarian value on the Omni-channel shopping intention, there is no effect between the hedonic value on the Omni-channel shopping intention, there is no influence between the quality of Channel integration on the Omni-channel shopping intention, there is an influence between the quality of Channel integration and the Omni-channel shopping intention between utilitarian values on shopper satisfaction, there is no effect between hedonic values on shopper satisfaction, there is an influence between channel integration quality on shopper satisfaction, and there is an influence between Omni-channel shopping intentions on shopper satisfaction. Conclusions: The findings of this study prove that Omni-Channel Shopping Intention is one of the most effective management and marketing techniques to enhance an important aspect of their company, namely an efficient and holistic consumer shopping experience.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.4
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• pp.467-481
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• 2013

The study examined the main effect of the reward channel and reward time of customer loyalty programs for on-offline shopping channels; in addition, it investigated the interaction effect of the reward channels and merchandise as well as the interaction effect of the reward time and merchandise. An online apparel shopping web experiment was conducted with a 2 (reward channel: online channel reward vs. offline channel reward) ${\times}2$ (reward time: immediate vs. delayed) ${\times}2$ (merchandise: online channel product vs. offline channel products) between-subject factorial design. An online shopping channel was considered the core-shopping channel and a department store was considered the cross-shopping channel. Loyalty program value, core-channel loyalty and cross-channel loyalty were measured as dependent variables. A total of 845 shoppers (who had experiences in shopping in both channels) participated in the experiment. The results of the study revealed (1) the main effect of the reward channel on loyalty program value, core-channel loyalty and cross-channel loyalty [online>offline channel rewards], (2) the main effect of reward time on loyalty program value, core-channel loyalty and cross-channel loyalty [immediate>delayed reward], and (3) the interaction effect of the reward channel and merchandise on loyalty program value, core-channel loyalty, and cross-channel loyalty. (4) Finally the study found that loyalty program value affected cross-channel loyalty indirectly through core-channel loyalty. This study suggested diverse theoretical and managerial implications for multi-channel retailers.

• 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.

• The Research Journal of the Costume Culture
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• v.26 no.1
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• pp.109-124
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• 2018

As fashion and distribution companies have increasingly turned to implementing marketing activities that use omni-channel strategies, it is imperative to explore consumer-oriented evaluations of omni-channel shopping for fashion products. Through contributing to the growing research flow of consumer behavior within omni-channel contexts, the current study explores consumer motivations for omni-channel fashion shopping and their impacts on the decision-making stages of fashion products. The authors first performed in-depth interviews with six Korean consumers and confirmed the four types of consumer motivation for omni-channel shopping, and how decision-making processes react to fashion companies' omni- channel marketing strategies. These findings were used to set survey items for the main study. Based on the results and findings of previous literature, an online survey was conducted with 300 participants who had actual experience with omni-channel shopping for fashion products. The statistic results from the survey revealed the following: First, the in-depth interviews allowed the authors to confirm four factors of omni-channel shopping motivation (ubiquity, efficiency, convenience, and impulsiveness). Second, the survey showed the authors that among the four factors of omni-channel shopping orientation, impulsiveness had the greatest effect on consumer behaviors at the preand on-purchase stages, while the ubiquity factor had the greatest effect at the post-purchase stage. As such, the study empirically tested the omni-channel-specific factors of shopping orientation and motivation. In addition, it showed the effect of omni-channel marketing on various stages of the decision- making process and the study's limitations and implications were discussed.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.19-41
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• 2016

Recently, the proliferation of mobile devices such as smartphones and tablet personal computers and the development of information communication technologies (ICT) have led to a big trend of a shift from single-channel shopping to multi-channel shopping. With the emergence of a "smart" group of consumers who want to shop in more reasonable and convenient ways, the boundaries apparently dividing online and offline shopping have collapsed and blurred more than ever before. Thus, there is now fierce competition between online and offline channels. Ever since the emergence of online shopping, a major type of multi-channel shopping has been "showrooming," where consumers visit offline stores to examine products before buying them online. However, because of the growing use of smart devices and the counterattack of offline retailers represented by omni-channel marketing strategies, one of the latest huge trends of shopping is "webrooming," where consumers visit online stores to examine products before buying them offline. This has become a threat to online retailers. In this situation, although it is very important to examine the influencing factors for switching from online shopping to webrooming, most prior studies have mainly focused on a single- or multi-channel shopping pattern. Therefore, this study thoroughly investigated the influencing factors on customers switching from online shopping to webrooming in terms of both the "search" and "purchase" processes through the application of a push-pull-mooring (PPM) framework. In order to test the research model, 280 individual samples were gathered from undergraduate and graduate students who had actual experience with webrooming. The results of the structural equation model (SEM) test revealed that the "pull" effect is strongest on the webrooming intention rather than the "push" or "mooring" effects. This proves a significant relationship between "attractiveness of webrooming" and "webrooming intention." In addition, the results showed that both the "perceived risk of online search" and "perceived risk of online purchase" significantly affect "distrust of online shopping." Similarly, both "perceived benefit of multi-channel search" and "perceived benefit of offline purchase" were found to have significant effects on "attractiveness of webrooming" were also found. Furthermore, the results indicated that "online purchase habit" is the only influencing factor that leads to "online shopping lock-in." The theoretical implications of the study are as follows. First, by examining the multi-channel shopping phenomenon from the perspective of "shopping switching" from online shopping to webrooming, this study complements the limits of the "channel switching" perspective, represented by multi-channel freeriding studies that merely focused on customers' channel switching behaviors from one to another. While extant studies with a channel switching perspective have focused on only one type of multi-channel shopping, where consumers just move from one particular channel to different channels, a study with a shopping switching perspective has the advantage of comprehensively investigating how consumers choose and navigate among diverse types of single- or multi-channel shopping alternatives. In this study, only limited shopping switching behavior from online shopping to webrooming was examined; however, the results should explain various phenomena in a more comprehensive manner from the perspective of shopping switching. Second, this study extends the scope of application of the push-pull-mooring framework, which is quite commonly used in marketing research to explain consumers' product switching behaviors. Through the application of this framework, it is hoped that more diverse shopping switching behaviors can be examined in future research. This study can serve a stepping stone for future studies. One of the most important practical implications of the study is that it may help single- and multi-channel retailers develop more specific customer strategies by revealing the influencing factors of webrooming intention from online shopping. For example, online single-channel retailers can ease the distrust of online shopping to prevent consumers from churning by reducing the perceived risk in terms of online search and purchase. On the other hand, offline retailers can develop specific strategies to increase the attractiveness of webrooming by letting customers perceive the benefits of multi-channel search or offline purchase. Although this study focused only on customers switching from online shopping to webrooming, the results can be expanded to various types of shopping switching behaviors embedded in single- and multi-channel shopping environments, such as showrooming and mobile shopping.

• Journal of Distribution Research
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• v.11 no.3
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• pp.103-125
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• 2006

Recently, in-home shopping channel has become a popular shopping channel. This study develops and tests a model of the share and variety of in-home shopping channel. We explore the effects of demographic characteristics and shopping behavior characteristics to the share and variety of in-home shopping channel. As a research methodology, we choose the simultaneous equation model with selectivity to consider both sample selection and effects between dependent variables. The result of study can be summarized as follows. First, there are no effects between the share and variety of in-home shopping channel. Second, the share of in-home shopping channel decreases when consumers visit department store more than discount store. Third, the demographic characteristics and the shopping behavior characteristics don't affect the variety of in-home shopping channel. Some managerial implications for manufacturers and distributors are discussed.

• Journal of Distribution Research
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• v.8 no.2
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• pp.1-18
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• 2003

This study has tried an integrated approach toward consumer response difference between the online internet shopping mall and the off-line department store focusing on the moderating role of shopping value according to shopping situation. This study has analyzed consumer behavior differences between online and off-line channel formats in one framework and identified differences in consumer behaviors between the two channel formats. Managerial implications of this paper include measuring the effects of the integration of online and off-line channel and developing multichannel strategy. This paper suggests marketers to develop channel strategies based on customer segmentation criteria reflecting different consumer shopping value between online and off-line channel formats rather than developing strategies based only on the conventional marketing mix.

• Journal of Distribution Research
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• v.13 no.3
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• pp.27-54
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• 2008

This study explored the relationship between information search and purchasing behavior across in-home shopping channels to give multi-channel retailer an implication of multichannel customer management. We analyzed the relationship between consumer's information search and purchase behavior (choice, frequency, and expenditure) with a view to channel lock-in and cross-channel synergy. This study was carried out using survey data about in-home shopping behavior of housewives. Results of the study showed that (1) there was channel lock-in between information search and purchase behavior across in-home shopping channels, (2) catalog channel and the Internet channel were a alternative channels of TV home shopping channel and (3) catalog channel and the Internet channel were an complementary channels. This results can provide meaningful implication for multi-channel retailers.

• Journal of Distribution Science
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• v.15 no.9
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• pp.27-36
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• 2017

Purpose - In this study, the author investigates which shopping motivations affect regulatory focus differently. This study also determines the effect of shopping motivation on regulatory focus when consumers use different shopping channels. Additionally, the author tries to investigate how information quality affects regulatory focus. Similarly, this study also examines the effect of the shopping channel on the relationship between information quality and regulatory focus. Research design, data, and methodology - With 635 surveyed questionnaires, this study was conducted by SPSS and AMOS 22.0 version. SEM was used to verity hypotheses and model. Results - According to this research, hedonic shopping motivation affects promotion focus positively and prevention focus negatively. Furthermore, when consumers use a mobile channel rather than an online one, hedonic shopping motivation affects prevention focus more negatively. However, depending on the shopping channel, there are no significant differences in the case of the relationship between hedonic motivation and promotion focus. The author also examines how information quality affects regulatory focus. In particular, when consumers use a mobile channel rather than an online one, information quality affects promotion and prevention focus more positively. Conclusions - Through this study, the author suggests that shopping motivation and information quality could influence consumers' regulatory focus, shopping attitude, and intention.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.5
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• pp.601-611
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• 2011

This research evaluates the availability of consumers moving to integrated multi channels by a target analysis on the integrated online channel and verifies the possibility of a synergy effect created by the expansion of an integrated online channel. The objectives are to define the scope of benefits desired in fast fashion and online shopping, compare the desired benefits of fast fashion consumers, online shopping consumers and fast fashion, and online shopping consumers, investigate the acceptance intention of the integrated online channel of consumers, and verity its relationship with the desired benefits. As a result, all consumers indicate the desire to pursue social recognition, pleasure, individuality, economic and convenience orientation, and fashion-innovativeness through shopping activities. In addition, there were differences in the mean of social recognition benefit individuality benefit, economical and convenience orientation benefit, and fashion-innovativeness benefit. Lastly, the acceptance intention of the integrated online channel was significant in all groups and the desired benefits that affect the acceptance intention of the integrated online channel were social recognition for fast fashion consumers along with pleasure and individuality for fast fashion and online shopping consumers.