• The KIPS Transactions:PartB
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• v.9B no.1
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• pp.1-6
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• 2002

Many customers consult the Internet before making purchase goods and using contents. The systems in the Internet could store a lot of data and classify the data into information to get relationship between a company and customers. To do that, let's consider a knowledge-assisted hybrid system that utilizes individually a customer's preference to make an optimal solution in the his/her decision making. The knowledge made by using the preference is employed to select an domain set appropriate to him/her business, and the process of selecting definitely provides the customer some benefits: elimination of discomfort from unknown information and reduction of costs and search time for forming an suitable domain set. To effectively adopt individual customer's preference and actively adapt change of business situation, this study propose an architecture of the system which includes rule presentations and an inference engine, and integrates a knowledge-based component into a quadratic programming component. In the experimental results, it is found that a knowledge-assisted hybrid system implemented by this idea is more flexible than existing systems in extension of knowledge about an customer's preference and goes beyond the traditional models.

• Asia pacific journal of information systems
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• v.17 no.2
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• pp.1-28
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• 2007

The success of new product development is a key factor for getting competitive advantages. Marketing research has been investigating marketing capability, manufacturing technical capability, cross-functional integration, market knowledge competence, market orientation, and competitive environment as the key success factors of new product development. Recently, the role of IT infrastructure in enhancing new product advantage is assumed in the literature. However, the empirical studies on the role of IT infrastructure are lacking. The purpose of this study is to empirically exam the impacts of IT infrastructure on new product competitive advantage. In this study, IT infrastructure is conceptualized as the flexibility of IT infrastructure. Based on previous research, a conceptual model is established by incorporating the direct impact of IT infrastructure flexibility and its indirect impact through the key success factors on new product development. To empirically test the research model, data are surveyed from a pair of IS department and Marketing department of 92 consumer goods manufacturers. By employing PLS technique, the measurement reliability and reliability of research variables are tested and the path analysis is conducted to do the hypothesis testing. The path analysis shows that IT infrastructure flexibility has no direct effect on new product advantage, However, the indirect effect of IT infrastructure is found, which is mediated by marketing capability, manufacturing technical capability, cross-functional integration, and market orientation respectively. Hence, The flexible IT infrastructure increases cross-functional integration (H1), market orientation (H3), marketing capability (H5), and manufacturing technical capability (H6). All success factors of new product development excepts for competitive environment have a positive association with new product competitive advantages (from H10 to H14). Finally, the path from IT infrastructure flexibility to cross-functional integration, to market orientation, to market knowledge capability, and to new product advantage is found as the strongest path. These results indicate that the flexible IT infrastructure enhances information sharing with multiple departments and collaboration within a distributed innovation environment. The collaboration among departments positively affects the level of customer and competitor intelligence. The ability to obtain knowledge about customers and competitors makes firms to adapt to a changing environment quickly and to respond to customers' demands adequately. The flexible IT infrastructure also enhances the capability of organization to more rapidly respond to the changes in product design resulting in faster product development and reduced costs. In addition to, it enhances marketing capability by the two-way communications with customers and the analyses of various kinds of customer data. In brief, the finding of this study suggests that the flexible IT infrastructure allows many firms to pursue sustained new product competitive advantages. This study advances research on IT infrastructure in two important aspects. First, by Integrating marketing research and IS research, this study develops a conceptual model on the role of IT infrastructure in enhancing new product advantage. Second, it empirically finds the indirect impacts of IT infrastructure on new product advantage, which confirms the potential for the IS field to contribute to new product development research. The limitations of this study are also discussed to provide research directions for future research.

• Journal of Information Technology Services
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• v.5 no.3
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• pp.109-119
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• 2006

The company cannot optimize its computing environment just with individual solutions such as ERP(enterprise resource planning), SCM(supply chain management), CRM(customer relationship management), and KM(knowledge management). EAI(enterprise application integration) has emerged as an alternative that can optimize computing environment of the company through integrating such solutions and systems of distributed computing and mainframe environment. This paper reports the case study of Deakyo Co. in successfully implementing EAI. It describes project goal, project organization, project plan, the implemented EAI configuration and its features, the EAI effectiveness to the firm, and the critical success factors of the EAI project. This case study is thought to be useful as a practical guideline in carrying out EAI project of the company and to provide significant basis for constructing the theoretical framework of EAI project methodology.

• Korean Management Science Review
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• v.24 no.2
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• pp.177-196
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• 2007

For better predictions and classifications in customer recommendation, this study proposes an integrative model that efficiently combines the currently-in-use statistical and artificial intelligence models. In particular, by integrating the models such as Association Rule, Frequency Matrix, and Rule Induction, this study suggests an integrative prediction model. Integrated models consist of four models: ASFM model which combines Association Rule(A) and Frequency Matrix(B), ASRI model which combines Association Rule(A) and Rule Induction(C), FMRI model which combines Frequency Matrix(B) and Rule Induction(C), and ASFMRI model which combines Association Rule(A), Frequency Matrix(B), and Rule Induction(C). The data set for the tests is collected from a convenience store G, which is the number one in its brand in S. Korea. This data set contains sales information on customer transactions from September 1, 2005 to December 7, 2005. About 1,000 transactions are selected for a specific item. Using this data set. it suggests an integrated model predicting whether a customer buys or not buys a specific product for target marketing strategy. The performance of integrated model is compared with that of other models. The results from the experiments show that the performance of integrated model is superior to that of all other models such as Association Rule, Frequency Matrix, and Rule Induction.

• Management & Information Systems Review
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• v.23
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• pp.75-97
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• 2007

In the meantime hospital system of Korea has institutionally performed its errand in stable circumstance, however the system now faces with new environment of change of customer's satisfaction, of regime, deepening of competition, and opening market. Under the rapidly and complicatedly changing circumstance, the hospital system is required to promote getting a dominant position in the competition, enhancing outcome, creating value added, and customer satisfaction in both internally and externally likewise other organizations, as they continuously introduce a knowledge management and originate, accumulate, and put the knowledge to practical use. This organization capacity of knowledge management involves a process of management that requires great change of all organizations and individuals and it is brought up through four steps which are Initiation, Propagation, Integration, and Networking. The main factors of successful knowledge management are intension of the chief executive officer(CEO), organizational culture, appraisal and compensation of work, knowledge controlling system, and organizational structure, and each of these five stage has got different characteristic. To be successful by introducing knowledge management, hospital organization should be based on these premises. Not only CEO or the director of a hospital, but also the constituent members should be fully aware of knowledge, the characteristic of knowledge management, and successful factors of this operation. Should understand step-by-step characteristic of knowledge management, therefore able to analyse a situation of specific hospital and see which step corresponds to that hospital. By analysing, constituents should make up for the weak points and ready to move on to next step. CEO or the director of a hospital should be aware of knowledge management as a strategic factor which is able to get a dominant position in the rapidly changing environment, and also it should be firm in the director's intention to introduce the knowledge management into the hospital. By continuously carrying out education and training constituent members, the director of a hospital should promote their interest and participation in knowledge management, and build an organization culture that ultimately creates, accumulates, shares, and put the knowledge to practical use. The hospital organization needs to systematize an institution of objective compensation that corresponds to objective appraisal of knowledge management outcome. The hospital ought to build knowledge controlling system in stages, in order to take the initiative in rapidly changing environment. By considering the characteristic of hospital system, it is required to change the organizational structure into self-managing team which is a sort of horizontal structure that allows members to make decisions and take the responsibility by themselves. The limitation of this study is experimental study. Positive investigation about successful factors of hospital knowledge management and characteristic of each steps is expected with following study.

• Journal of Distribution Science
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• v.20 no.8
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• pp.81-91
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• 2022

Purpose: The work aimed to integrate and distribute the knowledge of marketing and chemistry for product development, in which individual packaging from water hyacinth was ideal. Research design, data, and methodology: A customer perception was surveyed to guide the preparation process, and eco-packaging preparation followed the perception study. The satisfaction with the packaging using the 4Ps was determined. Results: 159 samples participated in the survey to establish their perceptions. They perceived that eco-packaging was a friendly environment with a score of 4.47. The uses of chemicals and water were less. The design for other functions than a normal function of packaging was preferred. The pulping was done using 3.0 M NaOH. The natural additives of carboxymethyl cellulose (defibering) and corn starch (adhesive) were desired. The paper was characterized according to The National Standard of Kraft paper and was equivalent to the liner board. The prototype of packaging was fabricated as individual packaging. The marketing mix was used to survey 200 samples. The satisfaction with the product was the maximum at 4.53, while the minimum was on price. The online channel was preferred to access the product. Conclusions: Water hyacinth could be added value as eco-packaging that the qualities of pulp were equal to the Kraft paper. Individual packaging from water hyacinth was satisfied.

• The Korean Journal of Food & Health Convergence
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• v.9 no.4
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• pp.19-23
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• 2023

The integration of ChatGPT, an AI-powered language model, is causing a profound transformation within the food industry, impacting various domains. It offers novel capabilities in recipe creation, personalized dining, menu development, food safety, customer service, and culinary education. ChatGPT's vast culinary dataset analysis aids chefs in pushing flavor boundaries through innovative ingredient combinations. Its personalization potential caters to dietary preferences and cultural nuances, democratizing culinary knowledge. It functions as a virtual mentor, empowering enthusiasts to experiment creatively. For personalized dining, ChatGPT's language understanding enables customer interaction, dish recommendations based on preferences. In menu development, data-driven insights identify culinary trends, guiding chefs in crafting menus aligned with evolving tastes. It suggests inventive ingredient pairings, fostering innovation and inclusivity. AI-driven data analysis contributes to quality control, ensuring consistent taste and texture. Food writing and marketing benefit from ChatGPT's content generation, adapting to diverse strategies and consumer preferences. AI-powered chatbots revolutionize customer service, improving ordering experiences, and post-purchase engagement. In culinary education, ChatGPT acts as a virtual mentor, guiding learners through techniques and history. In food safety, data analysis prevents contamination and ensures compliance. Overall, ChatGPT reshapes the industry by uniting AI's analytics with culinary expertise, enhancing innovation, inclusivity, and efficiency in gastronomy.

• The Journal of Information Technology
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• v.6 no.4
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• pp.93-111
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• 2003

Enterprise portal(EP) is the emerging service and technologies in recent business area. We divided the three subportal of EP - IPP(Information Processing Porta), DPP(Decisino Processing Portal) and EKP(Enterprise Knowledge Portal). IPP include the information processing area that conduct the general business field. DPP is the area that can support the employee's decision processing and making according to their roles. The function of EKP assist the tacit knowledge management and the collaboration job among knowledge workers. If we efficiently integrate and aggregate their subportal, our business information system can achieve more efficient and effective business performance. Also we can anticipate this model that serve the system environment, supporting the user friendly circumstance, enforcing e-business activity, connecting between customer and supplier, positioning more competitive advantage.

• Journal of Information Technology Services
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• v.18 no.2
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• pp.75-96
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• 2019

These days, many companies use information systems as a basis for organizational management activities and as an important component of sustainable management. Thus, securing and operating a high-quality information system that can improve the efficiency of business processes is a large part of corporate competitiveness. In order to get such a critical information system, it is only possible to successfully carry out the project. Various attempts and studies have been undertaken to increase the success rate of the project. However, the reality is that the success rate is still not getting much better. In this study, the concept of quality of service, which has long been actively studied in marketing area, was applied as a new factor to enhance the project's success. In this study, project performance activities were defined as the act of providing services. A survey of 164 valid collection data was analyzed. The analysis used SPSS 23. Four process quality factors (customer participation, customer response, knowledge and skills, reliability) and 21 metrics were derived. Through this research, I hope to be the starting point of applying process quality concept as a new breakthrough to increase success rate of project.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.750-762
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• 2019

The importance of the call center as a contact point for the enterprise is growing. However, call centers have difficulty with their operating agents due to the agents' lack of knowledge and owing to frequent agent turnover due to downturns in the business, which causes deterioration in the quality of customer service. Therefore, through an N-bank call center case study, we developed a system to reduce the burden of keeping up business knowledge and to improve customer service quality. It is a "real-time agent advisor" system that provides agents with answers to customer questions in real time by combining AI technology for speech recognition, natural language processing, and questions & answers for existing call center information systems, such as a private branch exchange (PBX) and computer telephony integration (CTI). As a result of the case study, we confirmed that the speech recognition system for real-time call analysis and the corpus construction method improves the natural speech processing performance of the query response system. Especially with name entity recognition (NER), the accuracy of the corpus learning improved by 31%. Also, after applying the agent advisor system, the positive feedback rate of agents about the answers from the agent advisor was 93.1%, which proved the system is helpful to the agents.