• Journal of Distribution Science
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• v.15 no.10
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• pp.81-92
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• 2017

Purpose - One of the main objectives of this paper is to identify the most effective type of social media and to analyze the priority of blogs by their informational attributes in the aspect of their impacts on word-of-mouth intention(WOM) in on-line markets. Research design, data, and methodology - We set 'attitude' variable in the middle to see if there is mediating effects between blog information and word-of-mouth intention. We conducted a survey by questionnaire and received 206 answers. Employing the OLS statistical methods through the SPSS package, we tested our hypotheses. Results - Some of the main results are the followings. First, blog, micro-blog, and profile-based services showed significant effects on WOM, while Internet community and mini-homepages are not significant. Second, blog has positive impacts on WOM. Third, attitude has perfect mediating effects between blog and WOM. Fourth, in terms of effects on WOM, interactivity shows the first priority and reliability and usability follows. Finally, attitude has a more significant effect for users of 3 types of blog compared with those of 2 types. Conclusions - In this paper, we analyzed the effects of social network services by type and identified the priority among various attributes of information contained in blogs. It would provide businesses with viable strategic options to establish public relations in their sales promotion.

• Journal of the Korean Society for information Management
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• v.29 no.4
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• pp.273-294
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• 2012

Images have been substantially searched and used due to not only the advanced internet and digital technologies but the characteristics of a younger generation. The purpose of this study aims to discuss the ways on expanding the access points to images by analyzing the needs of users in context of everyday life. In order to achieve the purpose of this study, 105 questions of image seeking in NAVER, which is one of social Q&A services in Korea, were analyzed. For the analysis, a two-dimensional framework with image uses and image attributes were utilized. The findings of this study demonstrate that considerable use purposes on data oriented pole, such as information processing, information dissemination and learning are identified. On the other hand, image attributes from the needs of image show that non-visual aspects including contextual attributes are recognized substantially in addition to the traditional semantic attributes.

• Journal of Fashion Business
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• v.27 no.3
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• pp.50-62
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• 2023

The e-commerce fashion market has experienced a remarkable growth, leading to an overwhelming availability of shared information and numerous choices for users. In light of this, chatbots have emerged as a promising technological solution to enhance personalized services in this context. This study aimed to develop user-product attributes for a chatbot-based personalized fashion recommendation service using big data text mining techniques. To accomplish this, over one million consumer reviews from Coupang, an e-commerce platform, were collected and analyzed using frequency analyses to identify the upper-level attributes of users and products. Attribute terms were then assigned to each user-product attribute, including user body shape (body proportion, BMI), user needs (functional, expressive, aesthetic), user TPO (time, place, occasion), product design elements (fit, color, material, detail), product size (label, measurement), and product care (laundry, maintenance). The classification of user-product attributes was found to be applicable to the knowledge graph of the Conversational Path Reasoning model. A testing environment was established to evaluate the usefulness of attributes based on real e-commerce users and purchased product information. This study is significant in proposing a new research methodology in the field of Fashion Informatics for constructing the knowledge base of a chatbot based on text mining analysis. The proposed research methodology is expected to enhance fashion technology and improve personalized fashion recommendation service and user experience with a chatbot in the e-commerce market.

• Journal of Internet Computing and Services
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• v.18 no.1
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• pp.51-55
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• 2017

In this paper, we designed a LBS-based smart platform for Lifelog service that can utilize the other's lifelog information. The conventional Lifelog service means that the system records the daily activities of the smart device user so the user can retrieve the early-recorded information later. The proposed Lifelog service platform uses the GPS/UFID location information and the various information extracted from the image as the lifelog data. Further, the proposed Lifelog platform using DB can provide the user with the Lifelog data recorded by the other service user. The system usually provide the other's Lifelog data within the 500m distance from the user and the range of distance can be adjustable. The proposed smart platform based on image recognition for Lifelog can acquire the image from the smart device directly and perform the various image recognition processing to produce the useful image attributes. And it can store the location information, image data, image attributes and the relevant web informations on the database that can be retrieved by the other use's request. The attributes stored and managed in the image information database consist of the followings: Object ID, the image type, the capture time and the image GPS coordinates. The image type attribute has the following values: the mountain, the sea, the street, the front of building, the inside of building and the portrait. The captured image can be classified into the above image type by the pattern matching image processing techniques and the user's direct selection as well. In case of the portrait-attribute, we can choose the multiple sub-attribute values from the shirt, pant, dress and accessory sub-attributes. Managing the Lifelog data in the database, the system can provide the user with the useful additional services like a path finding to the location of the other service user's Lifelog data and information.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.4
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• pp.127-132
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• 2014

Some laws and regulations may require internet service providers to provide services based on the age of users. Age verification in the online environment should be used as a tool to provide service that is appropriate to child based on age. Using the minimum attribute information, processes on age verification provides the proper guidance to the internet services. However, there is a lack of a globally accepted trust framework for age verification process including evaluation factors for age verification information. In this paper the federation model of user attributes were described and evaluation factors for the age verification information were suggested. Also using the suggested evaluation factors, performance evaluation of federation model of user evaluation was performed. To meet the requirements of evaluation factors, framework of federation model should consider the unlinkability pseudonym support, eavesdropping protection and cloning protection.

• Information Systems Review
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• v.25 no.4
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• pp.89-112
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• 2023

In March 2020, as it was declared a COVID-19 pandemic, various quarantine measures were taken. Accordingly, many changes have occurred in the tourism and hospitality industries. In particular, quarantine guidelines, such as the introduction of non-face-to-face services and social distancing, were implemented in the restaurant industry. For decades, research on restaurant attributes has emphasized the importance of three attributes: atmosphere, service quality, and food quality. Nevertheless, to the best of our knowledge, research on restaurant attributes considering the COVID-19 situation is insufficient. To respond to this call, this study attempted an exploratory approach to classify new restaurant attributes based on understanding environmental changes. This study considered 31,115 online reviews registered in Naverplace as an analysis unit, with 475 general restaurants located in Euljiro, Seoul. Further, we attempted to classify restaurant attributes by clustering words within online reviews through TF-IDF and LDA topic modeling techniques. As a result of the analysis, the factors of "prevention of infectious diseases" were derived as new attributes of restaurants in the context of COVID-19 situations, along with the atmosphere, service quality, and food quality. This study is of academic significance by expanding the literature of existing restaurant attributes in that it categorized the three attributes presented by existing restaurant attributes and further presented new attributes. Moreover, the analysis results have led to the formulation of practical recommendations, considering both the operational aspects of restaurants and policy implications.

• Information and Communications Magazine
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• v.11 no.2
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• pp.123-132
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• 1994

For a telecommunication service evolution plan, it is necessary to analyze the types of the communication demands and to estimate the size of the market for each different demand types. In this paper, we classify the basic services in view of the customer needs the complementary services in terms of their functions and also the functional attributes for services, terminals and networks.

• Korean journal of food and cookery science
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• v.33 no.2
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• pp.228-236
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• 2017

Purpose: This study investigated beef restaurant's selection attributes using conjoint analysis in order to provide useful information to marketers and managers. Methods: A total of 320 questionnaires were distributed to consumers who visited a beef restaurant in August 2016, and 284 were completed (96.90%). Statistical analyses of data were performed using SPSS/Windows 22.0 for descriptive statistics and conjoint analysis. Results: The results of this study demonstrate the relative importance and level of each attribute for selecting beef restaurants. Price showed the greatest importance (34.86%), followed by origin of beef (27.52%), level of support services (25.72%), and variety of side dishes (11.90%). The optimum attribute combination was various side dishes (0.059), Korean beef (0.385), Very high service level (-0.291), and price of 8,000 won (-0.782). The most preferred beef restaurant gained 37.60% potential market share from choice simulation. There were significant differences in importance of attributes related to age of respondents. For respondents in their 20s and older than 50s, the first consideration was price. Respondents in their 30s considered the level of support services first while those in their 40s considered origin of beef first. Importance of attributes based on companion of respondents revealed that all respondents considered price first. Conclusion: This study contributes to development of marketing plans based on a customer's involvement level focusing on their primary selection criteria when choosing a beef restaurant. Additionally, marketers who manage beef restaurants can estimate the market share of imaginary beef restaurants from these results.

• Journal of Information Technology Services
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• v.10 no.4
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• pp.67-81
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• 2011

Recently, Mergers and Acquisitions (M&A) have become increasingly popular in the last few decades, and overseas' M&A are particularly increasing to sharpen corporate competitiveness on a global scale. Previous studies showed that one of the main reasons attributes to failures of mergers was the lack of attention to merging information systems. In recent years, both academy and industry have more focused on Post-Merger Integration (PMI) and the integration of information systems (IS) between two companies is one of the critical success factors of corporate. This paper focused on Post-Merger IT (Information Technology) Integration Methodology of Cross-Border M&A. We followed a single-site qualitative case study method in order to investigate the type of phenomenon in M&A's natural setting. Moreover, we examined a typical energy and power company case in order-based industry, so that other industry players may have different results to determine post-merger IT integration method and scope.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.1
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• pp.177-190
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• 2011

The purpose of this study is to explore the determinants of actual demand for wireless broadband (WiBro) services in Korea. To this end, this study identifies conceptual definitions of diverse latent variables and determines the significance of the causal relationship between independent and dependent variables. It then presents the nomadic user concept by testing the moderator effect. This study also proposes a revised Unified Theory of Acceptance and Use of Technology (UTAUT) model, which is an appropriate model for wireless communication services and users' attributes. Prior research has concentrated exclusively on the Technology Acceptance Model (TAM) based on future potential users. Compared to previous studies, the current research model and analysis results are useful in not only academic but also industry contexts.