• Information Systems Review
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• v.26 no.1
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• pp.337-353
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• 2024

The purpose of this study is to investigate the relationship between consumer reviews and managerial responses, aiming to explore the necessity of webcare for efficiently managing consumer reviews. We intend to propose a methodology for effective webcare and to construct a webcare model using machine learning techniques based on an audiobook platform. In this study, we selected four audiobook platforms and conducted data collection and preprocessing for consumer reviews and managerial responses. We utilized techniques such as topic modeling, topic inconsistency analysis, and DBSCAN, along with various machine learning methods for analysis. The experimental results yielded significant findings in clustering managerial responses and predicting responses to consumer reviews, proposing an efficient methodology considering resource constraints and costs. This research provides academic insights by constructing a webcare model through machine learning techniques and practical implications by suggesting an efficient methodology, considering the limited resources and personnel of companies. The proposed webcare model in this study can be utilized as strategic foundational data for consumer engagement and providing useful information, offering both personalized responses and standardized managerial responses.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.67-88
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• 2018

Until recently, as we recognize the significance of sustainable growth and competitiveness of small-and-medium sized enterprises (SMEs), governmental support for tangible resources such as R&D, manpower, funds, etc. has been mainly provided. However, it is also true that the inefficiency of support systems such as underestimated or redundant support has been raised because there exist conflicting policies in terms of appropriateness, effectiveness and efficiency of business support. From the perspective of the government or a company, we believe that due to limited resources of SMEs technology development and capacity enhancement through collaboration with external sources is the basis for creating competitive advantage for companies, and also emphasize value creation activities for it. This is why value chain network analysis is necessary in order to analyze inter-company deal relationships from a series of value chains and visualize results through establishing knowledge ecosystems at the corporate level. There exist Technology Opportunity Discovery (TOD) system that provides information on relevant products or technology status of companies with patents through retrievals over patent, product, or company name, CRETOP and KISLINE which both allow to view company (financial) information and credit information, but there exists no online system that provides a list of similar (competitive) companies based on the analysis of value chain network or information on potential clients or demanders that can have business deals in future. Therefore, we focus on the "Value Chain Network System (VCNS)", a support partner for planning the corporate business strategy developed and managed by KISTI, and investigate the types of embedded network-based analysis modules, databases (D/Bs) to support them, and how to utilize the system efficiently. Further we explore the function of network visualization in intelligent value chain analysis system which becomes the core information to understand industrial structure ystem and to develop a company's new product development. In order for a company to have the competitive superiority over other companies, it is necessary to identify who are the competitors with patents or products currently being produced, and searching for similar companies or competitors by each type of industry is the key to securing competitiveness in the commercialization of the target company. In addition, transaction information, which becomes business activity between companies, plays an important role in providing information regarding potential customers when both parties enter similar fields together. Identifying a competitor at the enterprise or industry level by using a network map based on such inter-company sales information can be implemented as a core module of value chain analysis. The Value Chain Network System (VCNS) combines the concepts of value chain and industrial structure analysis with corporate information simply collected to date, so that it can grasp not only the market competition situation of individual companies but also the value chain relationship of a specific industry. Especially, it can be useful as an information analysis tool at the corporate level such as identification of industry structure, identification of competitor trends, analysis of competitors, locating suppliers (sellers) and demanders (buyers), industry trends by item, finding promising items, finding new entrants, finding core companies and items by value chain, and recognizing the patents with corresponding companies, etc. In addition, based on the objectivity and reliability of the analysis results from transaction deals information and financial data, it is expected that value chain network system will be utilized for various purposes such as information support for business evaluation, R&D decision support and mid-term or short-term demand forecasting, in particular to more than 15,000 member companies in Korea, employees in R&D service sectors government-funded research institutes and public organizations. In order to strengthen business competitiveness of companies, technology, patent and market information have been provided so far mainly by government agencies and private research-and-development service companies. This service has been presented in frames of patent analysis (mainly for rating, quantitative analysis) or market analysis (for market prediction and demand forecasting based on market reports). However, there was a limitation to solving the lack of information, which is one of the difficulties that firms in Korea often face in the stage of commercialization. In particular, it is much more difficult to obtain information about competitors and potential candidates. In this study, the real-time value chain analysis and visualization service module based on the proposed network map and the data in hands is compared with the expected market share, estimated sales volume, contact information (which implies potential suppliers for raw material / parts, and potential demanders for complete products / modules). In future research, we intend to carry out the in-depth research for further investigating the indices of competitive factors through participation of research subjects and newly developing competitive indices for competitors or substitute items, and to additively promoting with data mining techniques and algorithms for improving the performance of VCNS.

• Asia Marketing Journal
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• v.12 no.1
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• pp.1-30
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• 2010

Customers often experience waiting for buying service. Managing customers' waiting time is important for service providers since customers who are dissatisfied with waiting, secede from a service place at last. Not a few studies have been done to solve waiting time problem and improve customers' waiting experience. Hui & Tse(1996) identify evaluation factors in customers' behavioral mechanism as customers wait. That is, customers experience perceived waiting time, waiting acceptability and emotional response to the wait when they wait. Since customers evaluate the wait using these factors, service provider should manage these factors in order to minimize customers' dissatisfaction. Therefore, this study explores that evaluation factors of waiting are influenced by customers' situational and experiential characteristics, which include customer loyalty, transaction importance for customer and waiting expectation level. Those situational and experiential characteristics are usually given to service providers so they can't control these at waiting point. The major findings derived from two exploratory studies can be summarized as follows. First, according to the result from the study 1 (restaurant setting), customers' transaction importance has the greatest positive influence on waiting experience. The results show restaurant service provider could prevent customers' separation effectively through strategies which raise customers' transaction importance, like giving special coupons for important events. Second, in study 2 (amusement part setting) customer loyalty has large positive impact on waiting experience as well as transaction importance. This results show that service provider could minimize customers' dissatisfaction using strategies which raise customer loyalty continuously. This results show customer perceives waiting experience differently according to characteristics of service place and service itself. Therefore, service provider should grasp the unique customers' situational and experiential characters for each service and service place. It could provide an effective strategy for waiting time management. Third, the study finds transaction importance and waiting expectation level have direct influence customers' waiting experience as independent variables, while existing studies treated them as moderators. Customer loyalty which has not been incorporated in previous waiting time research is known to affect waiting experience. It suggests that marketing strategy which builds up customer loyalty for long period of time is also quite effective, compared to short term tactics to help customers endure waiting time. Fourth, this study reveals the importance of actual waiting time along with perceived waiting time. So far most studies only focus on customers' perceived waiting time. Especially, this study incorporates the concept of patient limit on waiting time to investigate effect of actual waiting time. The results show that there were various responses to the wait depending on how actual waiting time exceeds individual's patent limit on waiting time or not, even though customers wait about the same period of time. Finally, using structural equation model, conceptual path between behavioral responses is verified. As customer perceives waiting time, then she decides whether she can endure it or not, and then her emotional response occurs. This result are somewhat different from Hui & Tse(1996)'s study. The study also includes theoretical contributions as well as practical implications.

• Korean journal of communication and information
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• v.52
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• pp.177-202
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• 2010

IPTV has been drawing attention as a representative convergence media. The analysis of the convergence media, as like IPTV, requires an investigation into the use perception and multidimensional factors. So this research examines the IPTV usage, based on the Technology Acceptance Model. The analysis was made with the 500 users, based on the online survey. The first results is concerned with the user characteristics. A positive influential relationship between the user characteristics and use perception was confirmed, along with the individual attribute and environmental influence. The second, 'perceived ease of use' was found to positively influence 'perceived usefulness' and 'perceived playfulness'. This finding suggests that it is an important diffusion strategy to enhance the ease of use of IPTV. The third is the emphasis of playfulness of IPTV. Since IPTV is multimedia, playfulness played a significant role in diffusing IPTV. The application of the TAM to the media analysis of IPTV, which reflects the environments of the convergence media and use perception, was successful in drawing a significant outcome.

• Korean journal of communication and information
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• v.81
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• pp.75-121
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• 2017

Maeul Community Media is community media practice that media education combine with community activism based on the region. Maeul Community Media appeared with Seoul city's supporting policy in 2012 and is now enlarging on a national scale beyond Seoul. This study is aimed at understanding and investigating Maeul Community Media activists' practice process by using a grouned theory approach. In-depth interviews were carried out of study participants who worked on as activists based on visual and radio field since 2012. By open coding based on grounded theory, 16 categories and 59 subcategories were discovered. The outcome of axial coding showed the centeral phenomena that can be called 'sustainable desire for Maeul Community Media act'. On the condition of the instability of public support and the absence of a village channel, the strategic practices were discovered, which are diversification of participants recruitment and modes of participation, invention of space-media, seeking multilateral distribution methodologies and the collective action plans of networks to stabilize the management and to empower Maeul Community Media networks. As a result, Maeul Community Media and civil society were networked by discovering and agenda-setting pending issues. And we could find that the desire and expectation for the role as a village's public sphere were enlarging.

• Management & Information Systems Review
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• v.28 no.1
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• pp.99-124
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• 2009

This study has observed the influence of green advertisemen on the attitude of consumers in relation to its message effect. The analysis has been conducted in the perpective of awareness-emotion -behavior targeting housewives based on the message structure of the advertisement(conclusion omission type/ conclusion offer type). Results of the analysis are as follows : 1) Green advertisement was more effective for the attitude toward advertisement and products than non-green advertisement and in the case of high involvement the conclusion omission message was more effective than the conclusion offer message. 2) Green advertisement was more effective also for the emotion side than non-green advertisement and the conclusion omission message was found more effective than the conclusion offer message. 3) Green advertisement was found more effective for purchasing activities than non-green advertisement and the conclusion omission message was found more effective than the conclusion offer message in the case of high involvement. 4) In case of the conclusion offer type structure of green advertisement the awareness side influenced purchasing activities and in case of the conclusion omission type structure of green advertisement the emotion side influenced purchasing activities. Besides that in case of the conclusion offer type structure of non-green advertisement both the awareness and emotion sides were found to influence purchasing activities. No difference was found in the conclusion omission type structure of non-green advertisement.

• Journal of The Korean Association For Science Education
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• v.35 no.3
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• pp.431-442
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• 2015

SSI instruction can be an effective tool to promote key competencies for future citizens. Our assumption of the study is that applying the concept of collective intelligence in the context of SSI learning would facilitate the learning. Thus, we designed and implemented Collective Intelligence-based SSI instruction over almost a year and observed the effects of the instruction on enhancing students' collaboration, information management, critical thinking, and communication skills. Twenty 9th grade students enrolled in a science-gifted program voluntarily participated. Data was collected by administering a questionnaire to examine the skills before, in the middle of, and after the instruction, and by conducting classroom observations and focus student group interviews. The results indicated some degree of improvement in their targeted skills. First, they experienced the expansion of their thoughts by actively sharing information and ideas using the web platform. Second, they became more flexible and open to different points of views in order to accomplish a common goal. Third, they appreciated having independent time and space to explore their own positions on the issues and to search necessary information, and believed that the process encouraged them to more pro-actively participate and communicate in the group debates. Lastly, they positively perceived the values that collaboration with diverse group members could produce.

• Journal of Information Technology Application
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• v.3 no.2
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• pp.103-132
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• 2001

The internet-based business is considered as a new strategic alternative for small-medium size companies. However, very little research about them has been reported. The objectives of this study are to analyze factors influencing the operation for the sites(we call, 'internet shopping mall') which small-and-medium sized firms have built, and to provide the general directions of the successful internee-based business for the small-and-medium sized firms. This paper reports the case studies in which the internet-based electronic commerce practices of 6 small-and-medium sized firms were examined over a 3 month period. In the meantime, this paper reports their present business condition, system environment, positioning, marketing strategy, forward business expectation, and market barrier. This study also focuses on two environmental dimensions of system development; One dimension is on-line only or off-line widened, and the other is self-built or outsourcing. The results found in this study are as follows: 1. The internet shopping mall broadens the company's activity to new business areas. 2. The degree of system outsourcing of the small-medium size company depends on its IT ability and resource capability 3. The marketing strategies on their internet shopping mall differentiate with their business area and market environment. 4. Each interviewed company has its own success and failure factors, in addition to the general factors. 5. Each interviewed company has a positive response for their internet shopping mall for its future. 6. The lack of capital, technology, and government support is the barrier to the improvement of the internet shopping mall system.

• Journal of the Korean Association of Geographic Information Studies
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• v.5 no.4
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• pp.106-118
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• 2002

In recent years, synthetic and systematic management with conservation-oriented strategy for Baekdu-daegan, which is the greatest chine as well as the major ecological axis of the Korean Peninsula, is being required to cope adequately with the various kinds of developmental urge. For this, spatially definite zoning for the managerial area on Baekdu-daegan has to be completed first. This study is to take into consideration the traditional concepts of stream and watershed as well as the actual disturbance on Daegan area, and to propose the process for reasonably establishing the managerial boundary adjacent to the Ridges. The case site with topographically diverse characteristics was selected, and the analyses on watershed, road network and land use were carried out using the digital maps and Landsat TM images. Based on these analyses results, the managerial boundaries as alternatives from the Ridges were produced by watershed expansion process, and used for tracing the changes of road occupancy rate and the areal ratio of various land use types to the relevant watersheds to search out the adequate managerial boundary. The results show that watershed expansion process could be effective tool for establishing the managerial boundary, and the fourth expanded watershed would be included for the adequate managerial boundary of the case site.

• Korean Journal of Ecology and Environment
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• v.38 no.2 s.112
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• pp.137-145
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• 2005

Traditional screening techniques have missed up to 99% of microbial resources existing in the nature. Strategies of direct cloning of environmental DNAs comprising tine genetic blueprints of entire microbial metagenomes provide vastly more genetic information than is contained in the culturable. Therefore, one way to screening the useful gene in a variety of environments is the construction of metagenomic DNA library. In this study, the water samples were collected from Daecheong Reservoir in the mid Korea, and analyzed by T-RFLP to examine the diversity of the microbial communities. The crude DNAs were extracted by SDS-based freezing-thawing method and then further purified using an $UltraClean^{TM}kit$ (MoBio, USA). The metagenomic libraries were constructed with the DNAs partially digested with EcoRI, BamHI, and SacII in Escherichia coli DH10B using the pBACe3.6 vector. About 14.0 Mb of metagenomic libraries were obtained with average inserts 13 ${\sim}$ 15 kb in size. The genes responsible for degradation of 1, 2-dichloroethane (1, 2-DCE) via hydrolytic dehalogenation were identified from the metagenomic libraries by colony hybridization. The 1, 2-dichloroethane dehalogenase gene (dhlA) was cloned and its nucleotide sequence was analyzed. The activity of the 1, 2-DCE dehalogenase was highly expressed to the substrate. These results indicated that the dhlA gene identified from the metagenomes derived from Deacheong Reservoir might be useful to develop a potent strain for degradation of 1, 2-DCE.