• Journal of Fisheries and Marine Sciences Education
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• v.25 no.2
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• pp.287-300
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• 2013

With the advent of the Internet era, most industries are actively taking part in the web-based electronic commerce markets. To come up with the trend, Korean shipping companies have built their own websites and tried to take advantage of the state-of-the-art technology. This paper aims to analyze recent developments in e-commerce of shipping industry and, Also the study suggests several solutions to invigorate the virtual transactions. To analyze recent developments, this paper carries out a cases study on the websites of 5 major shipping companies in Korea. Each sites are evaluated with respect to 4C's(Contents, Commerce, Community, Connection) analysis.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.1
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• pp.147-155
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• 2014

The rapid increase in the penetration rate and diverse utility of smart devices opens an opportunity for a development in creating a user-oriented ubiquitous system. And it allows audiences to deploy the exhibition-helping contents regardless of the restriction of place and time with using the smart devices of audience themselves. Also it needs to build a mobile web-based portal system for the related services. To do this, Firstly, it needs the corresponding strategies on a smartphone-based environment such as technical competence, systematic preparation of exhibition with compatible mobile contents, and a compatible channel for interactivity. Secondly, it needs the differentiation of exhibition guide with the existing system: an adoption of augmented reality, panoramic technology and simulation effect aiming for an improvement in a sense of immersion and reality for audience, and building up additional contents with a diversity of formats of image, sound, and video for customer satisfaction.

• The Korean Journal of Applied Statistics
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• v.18 no.3
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• pp.713-727
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• 2005

The advantage of an internet survey is the speed with which data can be accumulated from respondents. And this method is more economical, provides more accurate information, and has greater scope in subject coverage. Since there is used multi-media, the design of questionnaires is even more important in order to achieve high data quality.

• Journal of Information Technology Services
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• v.6 no.1
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• pp.47-63
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• 2007

A lot of researchers have been interested in the factors influencing the use of mobile phone services. Most of the previous studies, however, verified only the research models developed by the authors. They did not consider which model agrees better with the real situation. This study presents six alternative models based on various previous studies, and compares the data fitness of the models. A Web survey of mobile phone users collected 2,217 cases. Statistical analyses, using SEM (Structural Equation Modeling), show that the fitness of the simplest alternative model is better than that of any other model. The simplest model has no causal relationship among exogenous factors, and proposes that all of exogenous factors have direct impacts on the customer satisfaction. In addition, the analyses say that corporate and brand image and additional service are more important than the other exogenous factors such as communication quality.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.620-621
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• 2015

In this study, the multi-criteria decision-making model based on Quality Function Deployment Method is proposed. Multicriteria decision-making is an attempt to link QFD method with the TOPSIS. By this effort, a model that makes client's decision-making more rational and objective in design phase is suggested. The multi-criteria decisionmaking model confirming to the Owner's requirements will improve the productivity of the construction industry and the satisfaction of the customer. Further study extending the range of the requirements, not only the Owner's requirement will be necessary to cover the various factors as much as possible. And then, finally as a flexible platform to achieve a sustainable quality management, web-based multi-criteria decision-making model can be utilized by the relevant stakeholders simultaneously with the feed-back and sharing the necessary informations.

• Journal of Digital Contents Society
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• v.19 no.3
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• pp.513-519
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• 2018

The objective of this study was to examine the trends on social network services. The abstracts of 308 articles were extracted from web of science database published between 1994 and 2016. Time series analysis and topic modeling of text mining were implemented. The topic modeling results showed that the research topics were mainly 20 topics: trust, support, satisfaction model, organization governance, mobile system, internet marketing, college student effect, opinion diffusion, customer, information privacy, health care, web collaboration, method, learning effectiveness, knowledge, individual theory, child support, algorithm, media participation, and context system. The time series regression results indicated that trust, support satisfaction model, and remains of the topics were hot topics. This study also provided suggestions for future research.

• Asia pacific journal of information systems
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• v.18 no.3
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• pp.91-121
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• 2008

Electronic commerce, commonly known as e-commerce or eCommerce, has become a major business trend in these days. The amount of trade conducted electronically has grown extraordinarily by developing the Internet technology. Most electronic commerce has being conducted between businesses to customers; therefore, the researches with respect to e-commerce are to find customer's needs, behaviors through statistical methods. However, the statistical researches, mostly based on a questionnaire, are the static researches, They can tell us the dynamic relationships between initial purchasing and repurchasing. Therefore, this study proposes dynamic research model for analyzing the cause of initial purchasing and repurchasing. This paper is based on the System-Dynamic theory, using the powerful simulation model with some restriction, The restrictions are based on the theory TAM(Technology Acceptance Model), PAM, and TPB(Theory of Planned Behavior). This article investigates not only the customer's purchasing and repurchasing behavior by passing of time but also the interactive effects to one another. This research model has six scenarios and three steps for analyzing customer behaviors. The first step is the research of purchasing situations. The second step is the research of repurchasing situations. Finally, the third step is to study the relationship between initial purchasing and repurchasing. The purpose of six scenarios is to find the customer's purchasing patterns according to the environmental changes. We set six variables in these scenarios by (1) changing the number of products; (2) changing the number of contents in on-line shopping malls; (3) having multimedia files or not in the shopping mall web sites; (4) grading on-line communities; (5) changing the qualities of products; (6) changing the customer's degree of confidence on products. First three variables are applied to study customer's purchasing behavior, and the other variables are applied to repurchasing behavior study. Through the simulation study, this paper presents some inter-relational result about customer purchasing behaviors, For example, Active community actions are not the increasing factor of purchasing but the increasing factor of word of mouth effect, Additionally. The higher products' quality, the more word of mouth effects increase. The number of products and contents on the web sites have same influence on people's buying behaviors. All simulation methods in this paper is not only display the result of each scenario but also find how to affect each other. Hence, electronic commerce firm can make more realistic marketing strategy about consumer behavior through this dynamic simulation research. Moreover, dynamic analysis method can predict the results which help the decision of marketing strategy by using the time-line graph. Consequently, this dynamic simulation analysis could be a useful research model to make firm's competitive advantage. However, this simulation model needs more further study. With respect to reality, this simulation model has some limitations. There are some missing factors which affect customer's buying behaviors in this model. The first missing factor is the customer's degree of recognition of brands. The second factor is the degree of customer satisfaction. The third factor is the power of word of mouth in the specific region. Generally, word of mouth affects significantly on a region's culture, even people's buying behaviors. The last missing factor is the user interface environment in the internet or other on-line shopping tools. In order to get more realistic result, these factors might be essential matters to make better research in the future studies.

• The Journal of the Korea Contents Association
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• v.7 no.4
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• pp.66-73
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• 2007

Internet is a part of our common life and tremendous information is cumulated. In these trends, the personalization becomes a very important technology which could find exact information to present users. Previous personalized services use content based filtering which is able to recommend by analyzing the content and collaborative filtering which is able to recommend contents according to preference of users group. But, collaborative filtering needs the evaluation of some amount of data. Also, It cannot reflect all data of users because it recommends items based on data of some users who have similar inclination. Therefore, we need a new recommendation method which can recommend prefer items without preference data of users. In this paper, we proposed the apparel coordination system using personalized preference on the semantic web. This paper provides the results which this system can reduce the searching time and advance the customer satisfaction measurement according to user's feedback to system.

• Korean Journal of Construction Engineering and Management
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• v.8 no.3
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• pp.66-75
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• 2007

Recently, After Service(AS) management in apartment housing projects has been appeared as one of the major factors for improving customer satisfaction, and increasing competitiveness and raising image of a company in construction industry. The primary objective of this paper is to propose a web-based AS management system which enables field engineers to effectively collect AS information required from customers and effectively manage the statuses and results of AS performed. It is anticipated that the effective use of the system proposed in this paper would be able to improve communication efficiency among the AS participants, and help field engineers systematically manage and accumulate data that might be utilized as a reference in future construction projects.

• Culinary science and hospitality research
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• v.21 no.5
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• pp.192-203
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• 2015

Internal marketing has been considered as a way of achieving higher service quality and customer satisfaction in the service industry. However, the definitions and implementation of internal marketing varies by researcher. Therefore, the purpose of this study was to explore an explanatory internal marketing mix that can be utilized in the foodservice industry. Using a web-based survey method, a total of 405 usable samples were collected and used in the data analysis. Five internal marketing components (i.e., vision, development, reward, employee motivation, and internal communication) were adopted from previous literature, and the results indicated significant impacts of the internal marketing mix on employee job satisfaction.