• Knowledge Management Research
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• v.22 no.3
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• pp.273-293
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• 2021

Due to the COVID-19 pandemic, the size of the e-commerce has been increased rapidly. This pandemic, which made contact-less communication culture in everyday life made the e-commerce market to be opened even to the consumers who would hesitate to purchase and pay by electronic device without any personal contacts and seeing or touching the real products. Consumers who have experienced the easy access and convenience of the online purchase would continue to take those advantages even after the pandemic. During this time of transformation, however, the size of information source for the consumers has become even shrunk into a flat screen and limited to visual only. To provide differentiated and competitive information on products, companies are adopting AR/VR and steaming technologies but the reviews from the honest users need to be recognized as important in that it is regarded as strong as the well refined product information provided by marketing professionals of the company and companies may obtain useful insight for product development, marketing and sales strategies. Then from the consumer's point of view, if the ratings of reviews are widely diverged how consumers would process the review information before purchase? Are non-converged ratings always unreliable and worthless? In this study, we analyzed how consumer's regulatory focus moderate the attitude to process the diverged information. This experiment was designed as a 2x2 factorial study to see how the variance of product review ratings (high vs. low) for cosmetics affects product attitudes by the consumers' regulatory focus (prevention focus vs. improvement focus). As a result of the study, it was found that prevention-focused consumers showed high product attitude when the review variance was low, whereas promotion-focused consumers showed high product attitude when the review variance was high. With such a study, this thesis can explain that even if a product with exactly the same average rating, the converged or diverged review can be interpreted differently by customer's regulatory focus. This paper has a theoretical contribution to elucidate the mechanism of consumer's information process when the information is not converged. In practice, as reviews and sales records of each product are accumulated, as an one of applied knowledge management types with big data, companies may develop and provide even reinforced customer experience by providing personalized and optimized products and review information.

• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.177-193
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• 2014

Over the past decade, there has been a rapid diffusion of electronic commerce and a rising number of interconnected networks, resulting in an escalation of security threats and privacy concerns. Electronic commerce has a built-in trade-off between the necessity of providing at least some personal information to consummate an online transaction, and the risk of negative consequences from providing such information. More recently, the frequent disclosure of private information has raised concerns about privacy and its impacts. This has motivated researchers in various fields to explore information privacy issues to address these concerns. Accordingly, the necessity for information privacy policies and technologies for collecting and storing data, and information privacy research in various fields such as medicine, computer science, business, and statistics has increased. The occurrence of various information security accidents have made finding experts in the information security field an important issue. Objective measures for finding such experts are required, as it is currently rather subjective. Based on social network analysis, this paper focused on a framework to evaluate the process of finding experts in the information security field. We collected data from the National Discovery for Science Leaders (NDSL) database, initially collecting about 2000 papers covering the period between 2005 and 2013. Outliers and the data of irrelevant papers were dropped, leaving 784 papers to test the suggested hypotheses. The co-authorship network data for co-author relationship, publisher, affiliation, and so on were analyzed using social network measures including centrality and structural hole. The results of our model estimation are as follows. With the exception of Hypothesis 3, which deals with the relationship between eigenvector centrality and performance, all of our hypotheses were supported. In line with our hypothesis, degree centrality (H1) was supported with its positive influence on the researchers' publishing performance (p<0.001). This finding indicates that as the degree of cooperation increased, the more the publishing performance of researchers increased. In addition, closeness centrality (H2) was also positively associated with researchers' publishing performance (p<0.001), suggesting that, as the efficiency of information acquisition increased, the more the researchers' publishing performance increased. This paper identified the difference in publishing performance among researchers. The analysis can be used to identify core experts and evaluate their performance in the information privacy research field. The co-authorship network for information privacy can aid in understanding the deep relationships among researchers. In addition, extracting characteristics of publishers and affiliations, this paper suggested an understanding of the social network measures and their potential for finding experts in the information privacy field. Social concerns about securing the objectivity of experts have increased, because experts in the information privacy field frequently participate in political consultation, and business education support and evaluation. In terms of practical implications, this research suggests an objective framework for experts in the information privacy field, and is useful for people who are in charge of managing research human resources. This study has some limitations, providing opportunities and suggestions for future research. Presenting the difference in information diffusion according to media and proximity presents difficulties for the generalization of the theory due to the small sample size. Therefore, further studies could consider an increased sample size and media diversity, the difference in information diffusion according to the media type, and information proximity could be explored in more detail. Moreover, previous network research has commonly observed a causal relationship between the independent and dependent variable (Kadushin, 2012). In this study, degree centrality as an independent variable might have causal relationship with performance as a dependent variable. However, in the case of network analysis research, network indices could be computed after the network relationship is created. An annual analysis could help mitigate this limitation.

• Journal of Arbitration Studies
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• v.12 no.1
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• pp.271-321
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• 2002

Every year, many million of business transactions take place. Ocassionally, disagreements develop over these business transactions. Many of these disputes are resolved by mediation, arbitration and out-of-court settlement options. The American Arbitration Association(AAA) helps resolve a wide range of disputes through mediation, arbitration, elections and other out-of-court settlement procedures. The AAA offers a broad range of dispute resolution services to business executives, attorneys, individuals, trade associations, unions, management, consumers, families, communities, and all level of governments. The 198,491 cases composed of the 194,303 arbitration cases and the 4,188 mediation cases, were filed with the AAA in 2000. These case filings represent a full range of matters, including commercial finance, construction, labor and employment, environmental, health care, insurance, real state, securities, and technology disputes. The Korean Commercial Arbitration Board (KCAB) does more than render arbitration services. It helps facilitate settlements and guarantee implementation thereof between trading partners at home and abroad involving disputes related to such areas as the sale of commodities, construction, joint venture agreements, technical assistance, agency agreements, and maritime transport. The 643 cases composed of the the 197 arbitration cases and the 446 mediation cases, were filed with the KCAB in 2001. There are some differences between the AAA and the KCAB regarding the number and the area of mediation and arbitration case filings, the breath of service offerings, the scope of alternative dispute resolution, and the education and training. In order to apply to the proceedings of the commercial mediation and arbitration, the AAA has the Commercial Mediation Rules, the Commercial Arbitration Rules, the Expedited Procedures, the Optional Procedures for Large, Complex Commerical Dispute, and the Optional Rules for Emergency Measures of Protection as amended and effective on September 1, 2000. In order to apply to the proceedings of commercial arbitration, the KCAB has the Arbitration Rules as amended by the Supreme Court on April 27, 2000, which have been changed to incorporate the revisions of the Arbitration Act that went into effect on December 31, 1999. There are some differences between the AAA's commercial Arbitration Rules and the KCAB's Arbitration Rules regarding the clauses of jurisdiction and administrative conference, number of arbitrators, communication with arbitrator, vacancies, preliminary hearing, exchange of information, oaths, evidence by affidavit and posthearing filing of documents or others, interim measures, serving of notice, form of award, scope of award, delivery of award to parties, modification of award, release of liability, administrative fees, neutral arbitrator's compensation, and expedited procedures. In conclusion, for the vitalization of KCAB and its ADR system, the following measures should be taken : the effective case management, the development of on0-line ADR, the establishment of ADR system of electronic commerce disputes, and the variety of dispute resolution rules in each expert field.

• Information Systems Review
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• v.17 no.2
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• pp.29-48
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• 2015

This study proposes an integrated operational model of branches with customer center at stock brokerage firms and suggests ways to improve existing systems. This suggested integrated model of branches and customer centers can increase customer satisfaction and customer values for the specific services at each channel. This integrated model also enables customers to make transactions at a desired specific time, make it possible to inquire whatever the customer wished to ask, and select desired contact channels. In addition, the firms can bring in improved effectiveness of internal resources by integrating all the resources the firm has. Personal resources and system resources are distributed by the characteristics of channels that can be selected by the customers. Then agents also can provide more speedy and accurate responses to the engaged customer interactions matching to his/her job in charge. Also, the model makes it possible to collect the latest customer and transaction information at the moment of each interactions, by which the firm can provide customized services specifically tailed to each customers' preferences. However, systematic interactions between branches and customer center, and completed system should be equipped with in order to provide the highest quality services.

• Journal of Distribution Science
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• v.14 no.11
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• pp.139-147
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• 2016

Purpose - This study examines the effects of purchasing factors of consumers based on customer satisfaction and repurchasing intention buying through Internet shopping malls. The subject of this study are Chinese residents who have lived over a year in Korea. Research design, data, and methodology - In this study, former research related with internet shopping malls' customer satisfaction and repurchase intention was revised. Based on past research, the internet shopping mall purchasing factors divided to 4 factors; factors of product, price, service, and promotion. 5 hypotheses were made. They are

Product factors of internet shopping malls have meaningful effect to customer satisfaction,

Price factors of internet shopping malls have meaningful effect to customer satisfaction,

Service factors of internet shopping malls have meaningful effect to customer satisfaction,

Promotion factors of internet shopping malls have meaningful effect to customer satisfaction,

Customer satisfaction factors of internet shopping malls have meaningful effect to customer repurchase intention. Measurements developed 4~5 items to each factor and questionnaires were made. The survey was conducted on 1,000 Chinese people. Out of 292 surveys, 9 were excluded which responded nothing or were unfilled. Finally 283 surveys were used in empirical analysis with SPSS 22.0 statistical program. Hypotheses were verified by structural equation modeling. Results - The following conclusions are shown in the empirical study. First, the service and promotion factors of internet shopping mall have effects on customer satisfaction. Second, customer (Chinese people who live in Korea) satisfaction have effects on repurchase intention. Third, the products value and price level of internet shopping mall have strong effects on repurchasing intention. Conclusions - There are suggestions that Chinese customers satisfied with Korean internet shopping malls might increase their royalty to the shopping malls as possibility of repurchase arises. This study has differentiating points with preceding researches that subjected residents in Korea. But there are limitations that this study also used purchasing factors used in preceding studies. Also this study has limitations, such as generalization in global market circumstances because this study subjected only Chinese people and not global customers. Therefore, further study executed complementary with those limitations would be an interesting study.

• Journal of Korea Spatial Information System Society
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• v.1 no.2 s.2
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• pp.63-80
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• 1999

This study presents NGDM(National Geospatial Information Distribution Model) in order to effectively utilize and differently apply geospatial information which is important in the dispersion of GIS. In order to establish the NGDM, this study draws the guideline of NGDM in Korea by analyzing its present condition of domestic and foreign geospatial information distribution. It also investigates some major factors forming the infrastructure of NGDM in regulative, technical, physical, and social aspects. Based on these factors, this study presents a three-staged NGDM that is applicable in Korea. The NGDM consists of four components that are the consumer, supplier, gateway for the clearinghouse and the clearinghouse of the geospatial information. According to the management form of geospatial information, the types of NGDM are classified as the concentration type, the distribution type, and compound type. Also, this study explains the mutual relationship between the NGDM's components and suggests a three-staged NGDM of planting, growth, and maturity period considering comparison results of classified models and development direction of regulation, protocol, communication network, electronic commerce, and etc.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.1
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• pp.171-181
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• 2013

The relationship about corporations' dividend policy and foreigners' share have been studied on the various views. However, there have barely been the studies about the relationships between the two variables according to hot and cold markets in Korea. In this point, this study attempts to find the differences of the tendency of foreigners' investment with financial variables and the relationship between foreigners' share and corporations' dividend policy according to hot and cold markets. For the analysis, it selected the 318 manufacturing corporations, which paid dividends in 2008 (cold market) and 2010(hot market). The results are classified into two types. 1) There are the difference, and 2) There are no differences of the relationships among the variables according to the two markets. First of all, The relationships between 1) foreigners' share and dividend 2) between foreigners' share and market value (Tobin's Q) and corporations' debt (Debt Ratio) were statistically significant in the both (hot and cold) markets. As showing the differences according to hot and cold markets, cash flow and foreigners' share showed the statistically significant relationships in 2010 (hot market), not in 2008 (cold market). One of the remarkable results is that most of relationships among variables, except the relationship between foreigners' share and dividend, are more strong in hot market than in cold market.

• Journal of Broadcast Engineering
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• v.25 no.2
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• pp.218-232
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• 2020

Data home shopping is a kind of T-commerce service with traditional TV home shopping, product DB of data broadcasting, and advantages of catalog shopping based on data broadcasting technology. Since the data home shopping service was partially started in 2012, there were no in-depth researches regarding the perception of data home shopping. Therefore in this paper, the traditional TV home shopping and data home shopping is analyzed how the perception is in terms of platform quality, service quality and content quality and what the difference in perception is. To verify this, a questionnaire survey was conducted on TV home shopping and data home shopping 140 workers who have good understanding of data home shopping. The results showed that the difference of platform quality, service quality and content quality between TV home shopping and data home shopping was significant and TV home shopping had better quality. In terms of platform quality, TV home shopping was 3.75 on a five-point scale and data home shopping was 2.93. Service quality was significantly different between TV home shopping (3.60) and data home shopping (3.25). For the quality of contents, TV home shopping had better quality as 3.21 while data home shopping was 2.82. There was no interaction effect in gender, age, position, and work field except between the age and platform quality.

• Information Systems Review
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• v.12 no.3
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• pp.141-158
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• 2010

In this research, we analyzed the performance of the e-village shopping mall as an online agricultural business platform. The results suggested some critical factors that might assist the e-village owners to increase their sales by implementing the e-village information systems. We hypothesized that IT education, IT usage, online community activity, and organizational knowledge sharing influenced the e-village sales. Moreover, we investigated the moderating effect of rural experience tourism on those independent variables (IT education, IT usage, online community activity, and organizational knowledge sharing). The results indicated that online community activity had a positive effect on the online business sales, while IT education, IT usage, and organizational knowledge sharing showed insignificant effects. Furthermore, the interaction effects between rural experience tourism and both IT education and the IT usage were positive and significant. Thus, we conclude that the rural experience tourism moderated the relationship between (1) IT education and e-village sales, and (2) IT usage and e-village sales, but not the relationship between (1) online community activity and e-village sales, and (2) organizational knowledge sharing and e-village sales.

• Information Systems Review
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• v.12 no.3
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• pp.49-73
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• 2010

The lack of customer satisfaction and trust remains a key barrier to electronic commerce. From the standpoint of online merchants, it is critical to build consumer trust by lessening sources of apprehensions and uneasiness associated with online transactions. This paper explores the relationships between customer satisfaction and intermediary's trustworthiness factors in B2C e-marketplaces. It also aims at examining the effects of consumer characteristics, including propensity to trust and Internet shopping self-efficacy, upon trust and purchase intentions. To meet the research objectives, an empirical study has been conducted by surveying 223 active e-marketplace buyers in Korea. The findings of the present research indicate that customer satisfaction positively affects all the three attributes of trustworthiness (i.e., competence, benevolence, and integrity), and more specifically it has a quite strong association with benevolence. In addition, propensity to trust has no significant influence on trust or purchasing intentions, and only affects benevolence and integrity with no direct effect on competence. Finally, Internet shopping self-efficacy was found to affect both trust and purchasing intentions, suggesting that e-marketplaces seek an online strategy designed to strengthen loyalty for customers with high self-efficacy, while they use a strategy to improve the usability and usefulness of their website to attract customers with low self-efficacy. The paper concludes with implications and directions for future research.