Journal of Korean Society of Industrial and Systems Engineering
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v.40
no.1
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pp.105-113
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2017
Network externality can be defined as the effect that one user of a good or service has on the value of that product to other people. When a network externality is present, the value of a product or service is dependent on the number of others using it. There exist asymmetries in network externalities between the online and traditional offline marketing channels. Technological capabilities such as interactivity and real-time communications enable the creation of virtual communities. These user communities generate significant direct as well as indirect network externalities by creating added value through user ratings, reviews and feedback, which contributes to eliminate consumers' concern for buying products without the experience of 'touch and feel'. The offline channel offers much less scope for such community building, and consequently, almost no possibility for the creation of network externality. In this study, we analyze the effect of network externality on the competition between online and conventional offline marketing channels using game theory. To do this, we first set up a two-period game model to represent the competition between online and offline marketing channels under network externalities. Numerical analysis of the Nash equilibrium solutions of the game showed that the pricing strategies of online and offline channels heavily depend not only on the strength of network externality but on the relative efficiency of online channel. When the relative efficiency of online channel is high, the online channel can greatly benefit by the network externality. On the other hand, if the relative efficiency of online channel is low, the online channel may not benefit at all by the network externality.
Journal of Korea Society of Digital Industry and Information Management
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v.18
no.2
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pp.93-110
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2022
The purpose of this study is to explore business investment and operation of O2O (Online-To-Offline) combined service. The study will analyze the necessary factors for growing the business by dividing the O2O service by industry. The Online-to-Offline is a method of inducing purchases of products and services by connecting between online and offline This research methodology organized the four stages of the analysis process. The analysis of all stages was performed with association rules in big data techniques. It is divided into the start-up period, growth period, maturity period, and decline period, and analysis is conducted on the business investment, expenditure cost, business operation, and conflict factors. As the research result, the first analysis has shown commonality with government subsidies, bank loans, and personal funds in all industries. The second analysis showed a lot of expenditure on labor costs of internal employees, marketing/sales, facility facilities, equipment, and equipment purchase costs. The third analysis showed difficulty in raising the investment resources necessary for business operations in all industries. The last analysis showed conflicts in the industry, businesses license, legal systems, and small business owners in all industries. This study contributed to the abundance and diversity of research methodologies in management information systems using association rules. In addition, the description of organizational development theory was updated while explaining the business investment and operation of O2O combined services. In practical implication, the O2O services include environmental factors that cause convergence between industries. Accordingly, this is required for new O2O services through new laws and systems and reorganization of existing laws and regulations.
Journal of the Korea Society of Computer and Information
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v.27
no.8
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pp.225-232
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2022
The purpose of this study was to analyze the effect of offline leisure activities and online leisure activities on depressive symptoms in the COVID-19 endemic. To do this, this study proposed a theoretical model consisting of demographic characteristics such as gender, age, academic background, and monthly income, offline leisure activity types such as socially-oriented activities, online leisure activity types such as information searching activities, entertainment activities, and the level of depressive symptoms. A survey was conducted to confirm research hypotheses, and a total of 99 questionnaires were used for statistical analysis. The major results of analysis reveal that first, monthly income is an important factor in predicting the level of depressive symptoms. Second, both offline socially-oriented activities and online entertainment activities have a negative effect on the level of depressive symptoms. This study has implications in that it identified the characteristics of leisure activities that can reduce the level of depressive symptoms.
I conducted empirical analyses of what happens when an offline channel expands to an online channel and whether the pre-existing offline channel's competitive assets (e.g. brand reputation and level of service satisfaction) can be linked to online channel preference. I found that an offline channel's brand reputation and level of service satisfaction can have a direct influence on offline channel preference and a second-hand influence on online channel preference. Thus, if the competitiveness of the online channel is strong enough and its customers have a higher preference for the offline channel, they will be committed and loyal to the company. The resultant enhanced competitiveness of the offline channel will present opportunities for both present and future success. The main results are the following. First, the management of the distribution channel service quality is more important than that of the brand reputation. Customers' experiences of service and subjective evaluations are not important only as the leading factors in the long-term brand reputation management but also as influential factors in channel preference. SoThus, given that the service quality of the pre-existing channel is not the customers' main concern, a strategy of improving the level of service satisfaction aimed at present customers is more valuable than a wide brand positioning strategy aimed at general and new customers. Second, when an offline channel company establishes an internet shopping mall on an online channel, it is highly likely that the preference and subjective evaluation of the present customers will influence the online channel. This applies not only to the special case of an expansion from an offline intermediary channel to an online one, but also to an online channel acting as an expansion of the business model of a conventional manufacturing or service company: both cases are vertical integrations of marketing channels in an expansion of the distribution channel. My theory applies to a wide range of contexts. Third and finally, any business strategy can grasp the meaning of 'channel expansion. Fundamentally, it is an expansion of the sales activity channel and marketing activity. However, it is also a way of enhancing marketing and sales competitiveness through an expansion to an online or offline channel. The expansion of an offline company to an online channel could be seen not as improvement but as an innovation of the business process by which two goals are achieved with one technique. The former is expected to increase the sales of the offline company, and the latter is also expected to increase sales while also contributing to cost reduction.
The purpose of this study is to empirically clarify the relationship between the aesthetic experience of visitors and the effect of online exhibitions at museums on the degree of viewing an offline exhibition. For this reason, the attributes of online exhibitions are composed of accessibility, interaction, informativeness, playfulness, etc., and the aesthetic experience is composed of four factors: emotional, communicative, cognitive, and perceptual areas. A survey was conducted to analyze the effect on viewing intention. The results of multiple regression analysis of the questionnaire results revealed that first, the online exhibition service had a partially significant positive(+) effect on the aesthetic experience. It was analyzed that informativity had the greatest effect on the emotional domain of aesthetic experience, playfulness had the greatest impact on the communication and perceptual domains, and access had the greatest impact on the cognitive domain. Second, it was found that online exhibitions had a partially significant positive (+) effect on offline exhibition viewing intention in the order of playfulness, interactivity, and informativity. Third, it was found that aesthetic experiences had a significant positive (+) effect on offline exhibition viewing intention in the order of cognitive, emotional, communication, and perception. In addition, it was confirmed that the aesthetic experience partially mediated the intention to view online and offline exhibitions. We hope that this study will serve as an opportunity to spark academic discussion along with practical implications for inducing online exhibition users to offline exhibitions.
Exploiting the energy-delay tradeoff for energy saving is critical for developing green wireless communication systems. In this paper, we investigate the delay-constrained energy-efficient packet transmission. We aim to minimize the energy consumption of multiple randomly arrived packets in an additive white Gaussian noise channel subject to individual packet delay constraints, by taking into account the practical on-off circuit power consumption at the transmitter. First, we consider the offline case, by assuming that the full packet arrival information is known a priori at the transmitter, and formulate the energy minimization problem as a non-convex optimization problem. By exploiting the specific problem structure, we propose an efficient scheduling algorithm to obtain the globally optimal solution. It is shown that the optimal solution consists of two types of scheduling intervals, namely "selected-off" and "always-on" intervals, which correspond to bits-per-joule energy efficiency maximization and "lazy scheduling" rate allocation, respectively. Next, we consider the practical online case where only causal packet arrival information is available. Inspired by the optimal offline solution, we propose a new online scheme. It is shown by simulations that the proposed online scheme has a comparable performance with the optimal offline one and outperforms the design without considering on-off circuit power as well as the other heuristically designed online schemes.
Journal of the Korean Society of Clothing and Textiles
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v.33
no.11
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pp.1707-1718
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2009
This study examines the effects of perceived risks on purchase decision behavior among Internet fashion consumers. The study survey used a self-administered questionnaire and a total data of 244 responses were used for analysis. The results of this study are as follows: First, the perceived risks consist of 6 factors, quality risk, counterfeit product risk, credit dealing risk, social/psychological risk, size and appearance risk, and delivery risk. The purchase decision behavior consist of 3 factors, delay of purchase decision, website switching, and offline conversion behavior. Second, purchase time positively affected the quality risk and credit dealing risk. Purchase frequency negatively affected the quality risk and credit dealing risk. Third, the quality risk, size and appearance risk, counterfeit product risk, and credit dealing risk positively affected the delay of purchase decisions. Quality risk and counterfeit product risk positively affected website switching. In addition, quality risk, social/psychological risk, and credit dealing risk positively affected the offline conversion behavior. Fourth, credit dealing risk negatively affected a short term purchase intention and the delivery risk negatively affected a long term purchase intention. The social/psychological risk and credit dealing risk negatively affected the repurchase intention.
Journal of Korea Society of Digital Industry and Information Management
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v.11
no.1
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pp.209-223
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2015
Google was established an online service company. Lately, Google has widened to the business area until manufacturing industry. Apple was established a computer manufacturing company. So, new business models should develop and should be innovation in order to adapt to industry environments. New business model's development and innovation are attracted on strategy to expect the high performance at companies. In particular, it is important to companies facing a variety of problems. Therefore, the purposes of this study are as follows : First, there understand the perception difference on online service company, offline service company, manufacturing company. Second, there provide for the use of strategy on online service company, offline service company, manufacturing company. The results of this study are customer factor, strategy factor, revenue factor have been statistically significant differences using ANOVA analysis in industry field, and customer factor has been statistically significant difference using t-test in business field. Then, it will expect to increase business competition through the business model.
Advancements in technology and the proliferation of digital services have highlighted the importance of luxury brands in service environments. Based on the social exchange theory, this study investigated the interaction between customers and luxury brands in a traditional offline service encounter and a digital online service encounter. The interaction area was classified into three parts: human-human, human-digital, and human-physical environments. We qualitatively investigated the practitioners' working experiences with luxury brands. The study determined that both online and offline service encounter interactions between luxury brands and customers have become diverse. First, forming a special relationship with customers and frontline employees in traditional service encounters is important. Second, luxury brands should focus on the interaction among customers. Third, various digital tools should be considered to provide information about the brand to customers. Fourth, the exclusive benefits of offline service encounters should be maximized to stimulate positive experiences. The findings provide valuable insight to scholars and marketers on the new interaction phase between customers and luxury brands in the digital age.
As global online business expands, direct overseas sales, where company directly sells products to foreign consumers, has become a new trend. The purpose of this study is to find out the characteristics of B2C Korean online exporters. This study analyzes export companies, 45,267 doing offline business and 205 online, and the two findings drawn from the study are as follows: First, B2C online exporters shipped 4-5 times more products to 10-13 times more countries than offline exporters. It also showed higher rate of export persistency. Second, from using gravity model analysis, it was found that export through online sales removes distance barrier by 60% more than offline. In addition, Free Trade Agreement appears to help boost online overseas sales. This study has significance in that it is the first analysis on B2C online export using actual proof, and it can be differentiated by other researches in terms of identifying the traits of Korean online export.
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