• Journal of Creative Information Culture
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• v.6 no.3
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• pp.141-148
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• 2020

Recently, the COVID environment has had a serious impact on the university education system. Career guidance methods of students, which have a significant impact on enrollment and employment rates of universities, should be changed in the COVID environment. While a traditional career guidance activity mainly use offline counseling methods, it should consider online counseling methods more seriously in the COVID environment. In this paper, I propose a hybrid(online and offline) career guidance model that can be effectively used in both online and offline education environments. The proposed hybrid model, which has the characteristics of online and offline, can effectively guide college students even in the COVID environment. In this paper, I show the usefulness of the proposed model by applying it to a real-world counseling case.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.296-304
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• 2019

The Amazon Go was the catalyst of O4O era. O4O is an advanced business model from O2O, which is the integration of offline service to online, especially through smart phone network. We also find the O2O strategy of digital contents companies such as Kakao and Line. This study examined the relation between online character experience and offline purchasing intention on related character products. The SEM was designed on the former study that based on the theory of user experience and brand attitude. The result of this study shows that the users' online experience have influence on the purchasing intention of offline related products and there exist the mediating routes of satisfaction of user experience, brand preference and brand reliability. There are no statistical support to the relation between satisfaction of user experience and purchasing intention. These points illustrate what marketers better to focus on transmedia strategies.

• Journal of Information Processing Systems
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• v.16 no.2
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• pp.377-393
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• 2020

Freight management systems require a new business model for rapid decision making to improve their business processes by dynamically analyzing the previous experience data. Moreover, the amount of data generated by daily business activities to be analyzed for making better decisions is enormous. Online-to-offline or offline-to-online (O2O) is an electronic commerce (e-commerce) model used to combine the online and physical services. Data analysis is usually performed offline. In the present paper, to extend its benefits to online and to efficiently apply the big data analysis to the freight management system, we suggested a system architecture based on O2O services. We analyzed and extracted the useful knowledge from the real-time freight data for the period 2014-2017 aiming at further business development. The proposed system was deemed useful for truck management companies as it allowed dynamically obtaining the big data analysis results based on O2O services, which were used to optimize logistic freight, improve customer services, predict customer expectation, reduce costs and overhead by improving profit margins, and perform load balancing.

• Korean Journal of Culture and Social Issue
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• v.28 no.4
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• pp.661-690
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• 2022

Adolescent delinquency is a substantial social problem that occurs in both offline and online domains. The current study utilized random forest algorithms to identify predictors of adolescents' online and offline delinquency. Further, we explored the applicability of classic delinquency theories (social learning, strain, social control, routine activities, and labeling theory). We used the first-grade and fourth-grade elementary school panels as well as the first-grade middle school panel (N=4,137) among the sixth wave of the nationally-representative Korean Children and Youth Panel Survey 2010 for analysis. Random forest algorithms were used instead of the conventional regression analysis to improve the predictive performance of the model and possibly consider many predictors in the model. Random forest algorithm results showed that classic delinquency theories designed to explain offline delinquency were also applicable to online delinquency. Specifically, salient predictors of online delinquency were closely related to individual factors(routine activities and labeling theory). Social factors(social control and social learning theory) were particularly important for understanding offline delinquency. General strain theory was the commonly important theoretical framework that predicted both offline and online delinquency. Findings may provide evidence for more tailored prevention and intervention strategies against offline and online adolescent delinquency.

• Journal of Information Technology Applications and Management
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• v.28 no.1
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• pp.111-121
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• 2021

The growth of online malls encourages the existing offline stores to manage their online stores or reinforce the purchasing service through related mobile applications (apps). This may seem to be the omni-channel strategy for connecting the existing customers to online shopping. This study, research on offline stores' acceptance of and satisfaction with smart phone apps, attempted to arrange some factors allowing consumers to be satisfied with such apps, and examine whether the satisfaction with the apps lead to that with the stores based on the EMTAM (Extended Mobile Technology Acceptance Model). In particular, the existing stores trying to enhance the omni-channel put on emphasis on the synergy between online and offline stores, rather than replace offline store with online ones. The results of an analysis showed that the factors influencing the satisfaction with apps included mobile usefulness (MU), mobile ease of use (MEOU) and mobile enjoyment (MEJ), and that the satisfaction with them had an effect on that with stores. On the basis of the findings, this study summarizes theoretical and practical suggestions.

• Knowledge Management Research
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• v.17 no.3
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• pp.45-64
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• 2016

As the digital retail environement becomes prevalent, consumers are given greater opportunities to make purchases across physical and digital boundaries. Prior research emphasizes that the attractiveness of the digital or online channel is relatively determined by spatial specifics of physical locations. The overall market trend combined with prior research suggests that understanding spatial specifics becomes a key to managing both offline and online sales performance together. In this study, we focus on geographic variation in sales performance through offline and online channels and aim to investigate the channel-level sales difference between central and subsidiary areas. To this end, we obtain sales data of skincare and makeup products from a leading cosmetic company. Next, we examine spatial autocorrelations in data and then employ the spatial error models to study the effects of spatial specifics. The empirical findings are as follows. First, there are significant differences in category-specific and channel-level sales between central and subsidiary areas. Second, Moran's I statistics demonstrate the spatial autocorrelations of each variable. Third, spatial error models outperform simple regression models with lower AIC values. Finally, spatial specifics play a greater role in understanding online sales in subsidiary areas whereas they exert greater influence on offline sales in central areas. We believe our study advances the related theory and knowledge of multi-channel retailing and also contributes practically to location-dependent multi-channel strategies and sales data analytics.

• Journal of Distribution Science
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• v.13 no.10
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• pp.57-63
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• 2015

Purpose - This study investigates the effects consumer perceptions of wine attributes have on repurchase intention. It examineshow wine purchase channels (online or offline) influence perceptions about wine attributes and repurchase intention. Research design, data, and methodology - A total of 390 responses from Florida residents over 21 were collected using online surveys. Responses were analyzed using exploratory factor analysis to identify the underlying wine attribute factors. Multiple regression and multi-group analysis were employed to test the hypotheses. Results - Results revealed that consumer perceptions of wine attributes (sensory, origin, reputation, and price point) significantly influence their repurchase intention. Additionally, the effects of wine attributes on repurchase intentions were found to be significantly different based on the channel used. Findings indicated that wine attributes pertaining to reputation and price point strongly influenced repurchase behavior of online consumers, while offline wine consumers were influenced more by sensory and origin attributes. Conclusions - Study findings provide useful information for wine industry sales channels for developing new marketing strategies to effectively attract wine consumers to repurchase wine.

• Journal of Distribution Research
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• v.12 no.3
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• pp.69-90
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• 2007

This study is set out to investigate the factors that influence customers' behavior of choice and switching between online and offline channels, separating the purchase decision into two stages, i.e., information search and purchase. Factors influencing channel choice are found to differ from stage to stage. The main results of this study are as follows. At the information search stage, customers' channel knowledge had impacts on the choice of the channel. Customers are more likely to visit offline bookstores when they have hedonic shopping orientation and higher involvement level with books. On the contrary, customers are more apt to search online when they have a lot of online shopping experiences. At the purchase stage, the results varied according to the search channel. When customers search for information online, the following variables lead to online purchases: online shopping experiences with books, price-focused shopping orientation, and time availability for shopping. Perceived risk made customers purchase offline even though they searched online. In case of offline searching, customers with more convenience-focused, hedonic-focused shopping orientation and less tim availability purchased offline.

• Journal of Digital Convergence
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• v.19 no.9
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• pp.299-305
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• 2021

This study is a case study for revitalizing services of integrated online and offline stores in the non-face-to-face era. The retail apocalypse crisis has deepened due to COVID-19, and to overcome this, the physital strategy of providing online experiences to offline stores is attracting attention. However, the response of domestic retailers is at an early stage, and strategic research is needed to improve consumer access and revitalize offline stores. Three strategies were identified through theoretical considerations according to technological development, and four strategies were summarized by investigating and analyzing domestic and foreign precedents. By categorizing the derived strategies, three core strategies were presented in conclusion. This study is a study based on literature and case studies, and is expected to be helpful in establishing strategic basic data for revitalizing online and offline integrated stores in the future.

• The Journal of Society for e-Business Studies
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• v.15 no.1
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• pp.39-60
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• 2010

It becomes common thing that many customers buy the goods through the online shopping mall as internet grows very fast. The information cascades that happen when a person imitates the other's acts also it occurs in online. Many people buy the goods referring on other people's purchasing experiences and such cases are spreading more and more. Through numerous existing researches, the researches in association with this issue have been studied on the information cascades effect on offline or online separately. The research of comparing the information cascades effects from the offline word of mouth (WOM) and the online review has not studied yet. On that reason this study shows that the online review induces the information cascades. We also compared the effects with information cascades effects from traditional offline word of mouth. In result of this study, the following points have been concluded. Firstly, we examined that information cascades was occurred through both the online review and offline word of mouth. Secondly, the information cascades effect through the online review is greater than through the offline words of mouth. It means the company has to understand the importance of the online review and manage it. Thirdly, the information cascades effects are occurred differently in accordance with the goods brands. Therefore a company has to know whether its products is superior to the competitor's one or not.