• Journal of Broadcast Engineering
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• v.24 no.3
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• pp.506-514
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• 2019

This study classified the different types of service attributes being provided through cable VOD services and looked at how the key service attribute types affect the willingness to use paid VOD for each group of paid and non-experienced users. Studies have shown that for a group of non-experienced people, 'content information-oriented attributes' have the greatest impact, and for a group of experienced people, 'convenience-oriented attributes' have the greatest impact. Thus, expanding users of paid VOD services requires setting up step-by-step strategies that match their respective collective characteristics. For a group of non-experienced people, it is necessary to take a direct persuasion strategy through the provision of relevant information and an indirect approach strategy through the expansion of promotion opportunities, and for an experienced group, a strategy to expand functional convenience.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.41-49
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• 2022

Documents often contain relative time expressions, and it is important to define a schema of the relative time information and develop a system that extracts such information from corpus. In this study, to deal with the relative time expressions, we propose seven additional attributes of timex3: year, month, day, week, hour, minute, and second. We propose a way to represent normalized values of the relative time expressions such as before, after, and count, and also design a set of rules to extract the relative time information from texts. With a new corpus constructed using the new attributes that consists of dialog, news, and history documents, we observed that our rule-set generally achieved 70% accuracy on the 1,041 documents. Especially, with the most frequently appeared attributes such as year, day, and week, we got higher accuracies compared to other attributes. The results of this study, our proposed timex3 attributes and the rule-set, will be useful in the development of services such as question-answer systems and chatbots.

• The Journal of Information Systems
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• v.18 no.3
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• pp.251-276
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• 2009

Maintaining online services of high quality has become a crucial factor for brokerages to gain competitive advantages. Because of the attributes of the product uniformity of online trading, online brokerages have grown significantly with IT development, since the early 2000s. Now, as the online trading business gets mature, the profitability of the IT investment and the quality of IT-based services became questioned. This study examines the issues of IT investment and its contribution by analyzing the relationship between the quality of online service and IT investment. In addition, it also investigates the relationship of the quality of online services and profitability of brokerage. Our results show that IT investment draws cubic-style, curvilinear relationship with the service quality of online trading and only high quality services can lead to the increase of profitability.

• Journal of Information Technology Services
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• v.13 no.3
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• pp.309-321
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• 2014

Recently, due to the advent of ubiquitous computing and the spread of intelligent portable device such as smart phone, iPad and PDA has been amplified, a variety of services and the amount of information has also increased fastly. It is becoming a part of our common life style that the demands for enjoying the wireless internet are increasing anytime or anyplace without any restriction of time and place. And also, the demands for e-commerce and many different items on e-commerce and interesting of associated items are increasing. Existing collaborative filtering (CF), explicit method, can not only reflect exact attributes of item, but also still has the problem of sparsity and scalability, though it has been practically used to improve these defects. In this paper, using a implicit method without onerous question and answer to the users, not used user's profile for rating to reduce customers' searching effort to find out the items with high purchasability, it is necessary for us to analyse the segmentation of customer and item based on customer data and purchase history data, which is able to reflect the attributes of the item in order to improve the accuracy of recommendation. We propose the method of recommendation system using association rule and weighted preference so as to consider many different items on e-commerce and to refect the profit/weight/importance of attributed of a item. To verify improved performance of proposing system, we make experiments with dataset collected in a cosmetic internet shopping mall.

• Agribusiness and Information Management
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• v.4 no.2
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• pp.1-13
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• 2012

This study aims to subdivide consumers by attributes determined mainly by consumers of fresh ginseng. It is to compare and analyze the characteristics by cluster, and to deduce the implications on distribution and marketing. For this study, a survey was conducted targeting 250 consumers of fresh ginseng. The factors were deduced through performing the exploratory factor analysis on the results of the survey, and the consumers of fresh ginseng were classified through cluster analysis. As a result of the study, the attributes considered for the purchase of fresh ginseng were condensed to the three factors: physical characteristic factor, safety factor, and cultivation indication information factor. With these as the standard, the consumers of fresh ginseng were subdivided into the three clusters: safety-oriented consumption type, label-centered consumption type, and high involvement consumption type. It was found that there were differences in demographic characteristics and attributes considered for purchase of fresh ginseng by cluster analysis. This study suggests the implications for revitalization of the fresh ginseng industry by subdividing consumers of fresh ginseng and suggesting the characteristics by cluster.

• The Journal of the Korea Contents Association
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• v.18 no.1
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• pp.587-595
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• 2018

This research aims to analyze the importance-performance among multiplex cinema selection attributes. Therefore, we collected data for visitors who visited the multiplex cinema and want to watch movies. Of the various multiplex cinema selection attributes, four factors were deduced that includes: major services, human services, physical environment, auxiliary services using exploratory factor analysis. In the quadrant I, the area of 'Concentrate Here' was 'diversity of screening time', 'diversity of movie genre', 'convenience of mobile app use', 'size and convenience of parking facility'. In the quadrant II, 'Keep up the Good Work' area was 'convenience of website booking', 'discounts through card partnerships', 'employee friendliness', 'accurate employee information delivery', 'comfortable seating', 'screen size', 'cinematic sound quality', and 'convenience of traffic' etc. The quadrant III, 'Low Priority' appeared to be 'membership system', 'tidiness of staff attire', 'resting space for waiting time', 'accessibility to the neighboring area', 'diversity of the snack corner', and 'overall cleanliness' etc. The quadrant IV, 'Possible Overkill' was 'appropriateness of the auditorium temperature' and 'service proficiency'.

• Journal of KIISE:Software and Applications
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• v.33 no.8
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• pp.668-680
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• 2006

Web services on the Internet are not always reliable in terms of service availability and performance. Dynamic service coordination capability of a system or an application invoking Web services is essential to cope with such unreliable situations. In dynamic service coordination, if a Web service does not respond within a specific time constraint, it is replaced with another Web service at run time for reliable invocation of Web services. In this paper, we develop an exception based dynamic service coordination framework for Web services. In the framework, all necessary information for dynamic service coordination is explicitly specified and summarized as a set of attributes. Then classes and workflows, supporting dynamic service coordination and invoking Web services, are automatically created based on these attributes. Developers of Web services client programs can make the invocations of Web services reliable by calling the methods of the classes. Some performance loss has been observed in the indirect invocation of a Web service. However, when we consider the flexibility and reliability gained from the method, the performance loss would be acceptable in many cases.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.5
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• pp.95-111
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• 2021

This paper is a study to check the flow of how addiction to media services has been studied from a long-term perspective, and to identify variables that can be the basis for future addiction research. Researchers noted the addiction of media services in adolescents in particular, and identified a combination of factors depending on the background of the times. Addiction variables were largely aggregated into four properties: adolescent properties, personal properties, media properties, and media-dependent properties. Addiction variables belonging to the attribute were influenced by major media and divided into four periods. During the study period, the frequency of variables was most related to personal attributes, followed by media attributes, adolescent attributes, and media-dependent attributes. Also Individual attribute variables gradually shifted from object-relationship to individual psychological factors. Variants in media attributes were influenced by the introduction and spread of new media. Variations in adolescent and media-dependent attributes have been weak in studies that observe teenagers' motivations for media use or are related to addiction, and no papers have been published since 2020. Although addiction research on media services is important in terms of industry, there has been an emphasis on social aspects, based on the results of this study, we hope to continue to study the variables of service users who can be used in terms of industry.

• Journal of Korean Society for Quality Management
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• v.44 no.2
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• pp.451-466
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• 2016

Purpose: This study was to identify customers' demands in railway services system and then to seek the way to satisfy the customer expectations. Methods: We suggest a Quality Function Deployment(QFD)-based approach comprised of three stages. In first stage, SERVPERF survey was carried out to assess current positions of customer expectations in the market. Then, factor analysis was incorporated into SERVPERF to classify customer expectations for the house of quality. In the second stage, the analytic network process was used to prioritize the importance of the customer attributes. Finally, QFD was performed utilizing customer attributes and their weights. Results: The QFD identified the most important customer expectations as: accident prevention, swift reaction to accident, on-time arrivals and departures of the train. It also shows that driving capability, equipment for safety, and training for disaster are the most critical technical requirements. Conclusion: The results are useful for identifying the customers' demands in railway services systems, and they can contribute to the service quality and customer satisfaction.

• Journal of Information Technology Applications and Management
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• v.16 no.4
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• pp.93-107
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• 2009

This study investigated consumer preferences for Internet medical information service in China using the multi-attribute utility theory. The multi-attribute utility theory is a compositional approach for modeling consumer preferences wherein researchers calculate the overall service utility by summing up the evaluation results for each attribute. We found that Chinese Internet medical information users consider the availability of information and quick response to be the most important attributes. Further, they think that the comment feature is less important as compared to other attributes such as costs and updates. In addition, we found that the Internet users having more Internet experience consider these attributes to be more important as compared to the people who are just beginning to surf the Internet. For any successful Internet business, Internet marketers should assess individual-level preference and accordingly organize a fresh campaign. As of now, Internet marketers need estimation methods to predict the market performance of new services in many different business environments. We believe that the multi-attribute utility theory is a useful approach in this regard.