• Journal of Digital Convergence
• /
• v.18 no.6
• /
• pp.255-269
• /
• 2020

This paper aims to analyze the factors influencing consumer's choice of smartphone purchase channel in multichannel environments. Recently, smartphone purchase channels are becoming more complex and diverse. A smartphone with a short purchase cycle is a product applying advanced technology, the research of this topic would be significant. The major findings of this study are as follows. First, depending on the consumer's shopping orientation, the consumer group was classified into three groups of preference 1. Active shopping, 2. Convenient shopping, and 3. Rational shopping. Second, it was analyzed that the consumer's shopping orientation influenced the decisions of the information search channel and the purchase channel. Third, there was a significant difference between the search and purchase channels in the three groups. Finally, in the channel experience, there was a significant difference in price satisfaction by group. The results of these studies are expected to provide practical implications for establishing a customized multi-channel strategy. This study provides a desirable model for research on smartphone purchase channels.

• Fashion & Textile Research Journal
• /
• v.21 no.6
• /
• pp.743-753
• /
• 2019

This study investigates differences in demographic characteristics, shopping orientation, perceived risk, and satisfaction after purchase among consumer types. This study classifies consumer types according to their channel transition behaviors between the online and offline channels with a focus on the steps of information research and buying decision in buying decision-making process. The four consumer groups are as follows: off-off type (offline research-offline purchase), on-on type (online research-online purchase), on-off type (online research-offline purchase) and on/off-off type (online and offline research-offline purchase), off-on type (offline research-online purchase) and on/off-on type (online and offline research-online purchase). Data were collected from adults over 20 years old who had bought clothes within one year. The questionnaire was carried out from July, 2019 using a professional internet research panel; in addition, 500 sets of useful data were analyzed by descriptive statistics, factor analysis, reliability analysis, chi-squared test, ANOVA and Duncan-test using SPSS 21.0. The findings showed significant differences among the classified consumer groups for consumer demographics, shopping orientation, perceived risk, and purchase after satisfaction. The results imply that consumers show a variety of channel transition behaviors based on demographic variables, shopping orientation, and perceived risk. Understanding and adapting to consumer purchase behaviors will allow company distribution channels to be effectively managed and eventually increase consumer satisfaction as well as company sales volume.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.14 no.1
• /
• pp.148-167
• /
• 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 Korea Society of Industrial Information Systems
• /
• v.25 no.3
• /
• pp.61-82
• /
• 2020

This study was conducted to investigate the transformation of shopping behavior from showrooming to webrooming under multi-channel environment. By applying the push-pull-pooring (PPM) theory, we conceptualized the lack of utilitarian shopping value of showrooming as a push effect, the experiential shopping value of webrooming as a pull effect and the showrooming lock-in as mooring effect. Using structural equation model based on 276 sample data, we identified that the utilitarian shopping value of showrooming and the experiential shopping value of webrooming have a positive effect on the intention of webrooming, and that the showrooming mooring had a negative effect on the intention of webrooming.

• Journal of Digital Convergence
• /
• v.11 no.2
• /
• pp.115-125
• /
• 2013

Unexpected consumer dissatisfaction emerges through rapid growth and expansion of on-line shopping channel. This research focused on the fashion online retail channels' negative aspect caused by service failure which possibly disappointed consumers. We also tried to seek for appropriate service recovery types based on frequently offered recovery types on-line. Data from college students were analyzed. Results indicate that fitting problem, insufficient information, product defect, inventory problem and slow delivery were the main service failure types in apparel e-shopping. Regression analysis identified that among these types, insufficient information, product defect, and slow delivery had significant influence on channel satisfaction after post recovery effort. Results also confirmed significant relationships between channel satisfaction and channel switching. Consumers perceived benefit level causes overall channel satisfaction level to rise while perceived risk leads to lower level of channel satisfaction. Choosing desirable service recovery activities in each service failure situations is necessary in order to raise consumer's channel satisfaction in online apparel shopping.

• Asia pacific journal of information systems
• /
• v.16 no.4
• /
• pp.49-70
• /
• 2006

In recent, Open markets are booming up rapidly. Open markets are one of the online marketplaces which mainly concentrated on spot transactions of commodities, and are differentiated from integrated internet shopping stores with market participants, trading rules and so on. This study investigated on factors affecting satisfaction with and preference on open markets by comparing open markets with integrated internet shopping stores, and aimed to figure out the reasons why open markets are growing up so rapidly and to forecast the future of open markets. To investigate the factors affecting buyers' satisfaction with and preference on internet shopping channel. I extracted several factors through literature reviews. The factors include the pros (cost saving and time saving), the cons (security concerns and privacy concerns), and decision making support suggested by Simon's research as well. Then, I constructed research model and related research hypotheses. To verify research hypotheses, I conducted field survey targeting on online buyers and analyzed research data using structural equation model. According to data analysis result, open markets have competitive advantages over integrated internet shopping stores with respect to cost saving, time saving, and decision making support. However, online buyers are still concerning privacy issues within open markets. In summary, buyers are considering that open markets are cheaper, faster, and more efficient internet shopping channel, compared with integrated internet shopping stores. However, open markets are required to dedicate to lessen buyers' privacy concerns to rebirth as more satisfying and preferable internet shopping channel and to prosper in the future.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.38 no.2
• /
• pp.277-292
• /
• 2014

This study investigated consumers' multi-channel behavior for fashion product purchases and compared perceived risks by channel type. A survey involving male and female college students was conducted in the Daegu and Gyungbuk area in December 2013. A total of 400 responses were analyzed using descriptive statistics, chi-square analysis, independent sample t-test, paired t-test, factor analysis, and reliability analysis. An internet shopping mall was the most frequently chosen retailer type for fashion product purchases and information searches. In addition, respondents also preferred independent branded stores, department stores, and non-branded stores. The number of retailer types for clothing item purchases ranged from 1 to 6 and the average was 3.06. The number of retailer types was significantly higher in women groups according to gender variables. Perceived risk had the highest evaluation score for internet shopping malls. Department stores were recognized as a reliable retailer type. The construct of perceived risk was shown as similar in off-line stores such as department stores, independent branded stores, and non-branded stores. Instead, the construct was differentiated from the case of internet shopping malls. Some insightful suggestions were suggested for future research and industrial marketing plans based on the results.

• Journal of Distribution Science
• /
• v.19 no.12
• /
• pp.23-32
• /
• 2021

Purpose: By integrating multiple separate online, offline distribution channels, omnichannel distribution has modernized and revolutionized the retailing sector. Omnichannel distribution supports firms by delivering seamless shopping experiences for customers throughout all touchpoints of the shopping journey. This paper aims at exploring the impact of channel integration quality on customer experience and patronage intentions in the omnichannel distribution context. Research design, data and methodology: An online survey was taken with 351 omnichannel experienced shoppers by utilizing the structured questionnaire. The partial least square-structural equation modeling (PLS-SEM) and Smart PLS software were employed to analyze and test proposed hypotheses. Results: The findings reveal that channel integration quality dimensions including breadth of channel-service choice, transparency of channel-service configuration, content consistency, and process consistency, play crucial roles in the customer shopping experience. The perceived compatibility has been influenced by the integrated interactions in which content consistency and process consistency. The findings also demonstrate the positive and direct impact of perceived compatibility on customer experience, and both factors have substantial effects on customers' patronage intentions. Conclusions: This study sheds light on the literature on channel integration quality, omnichannel retailing experience and customer patronage. In addition, this study provides practical implications for omnichannel retailers in enhancing customer experience and patronage.

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

• Knowledge Management Research
• /
• v.16 no.4
• /
• pp.109-132
• /
• 2015

We examine offline and online channel sales of experience goods, and compare and contrast the sales patterns of existing products and new products between channels. To this end, we obtain the channel-specific time-series sales data from the leading company selling beauty products, both offline and online. By applying the Vector Autoregressive Model, we empirically find out how the relationship between existing products and new products changes between the shopping channels. Our empirical findings are as follows. First, the sales effects from existing products to new products are significantly positive at both offline and online channels, and this positive effect is greater in the offline channel than in the online channel. Second, the influence of new products on existing products is more positive in the offline channel than in the online channel. Third, the impact of existing products sales on new products sales is greater than that of new products on existing products. Lastly, the inertia effect, the effect within the same shopping channel and the same selling product, is significantly positive in the offline channel but not in the online channel, and this asymmetric inertia effect emerges as we focus on experience goods. Moreover, the impulse response function analysis provides the three important implications. First, companies should pay attention to the same channel but different types of products. Second, the offline channel is more vulnerable to market shock than the online channel. Third, new products sales vary by existing products sales to the greater extent, compared to the opposite relationship. We believe our study contributes theoretically and practically to the fields of marketing and knowledge management.