• Korean Journal of Construction Engineering and Management
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• v.17 no.4
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• pp.76-86
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• 2016

Recently, the Contracts of International Construction Business has been decreased from the beginning of 2015 in Korea, although it has been steadily increased until 2014. This trend could be caused by Low-Price Contracts, the lack of Know-how and experience in operating, the poor management of Claims and Low-Profitability in Business. It has been recognized that the qualitative improvement of Business Contacts are necessary for successful Projects. In the Bidding Process, therefore, Experience data as In-House Data and Lessons Learned for projects should be strategically involved to assure riskless offers. Accordingly the Proposal Process are needed to be organized and enhanced by including processes for risks review about technical, marketing and commercial part during the bidding. This paper proposes a Risk Management Process model during Bidding Phase, using Risk Evaluation Method through the project life-cycle. The Concept of Model is to define CSF (Critical Success Factor) in the bidding process and Risk Factors are linked to CSF and Organization based on RAM (Responsibility assignment matrix).

• Journal of Internet Computing and Services
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• v.25 no.4
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• pp.109-119
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• 2024

This study aims to contribute to the initial research on on-device AI in an environment where generative AI-based services on mobile and other on-device platforms are increasing. To derive success strategies for generative AI-based chatbot services in a mobile environment, over 200,000 actual user experience review data collected from the Google Play Store were analyzed using the LDA topic modeling technique. Interpreting the derived topics based on the Information System Success Model (ISSM), the topics such as tutoring, limitation of response, and hallucination and outdated informaiton were linked to information quality; multimodal service, quality of response, and issues of device interoperability were linked to system quality; inter-device compatibility, utility of the service, quality of premium services, and challenges in account were linked to service quality; and finally, creative collaboration was linked to net benefits. Humanization of generative AI emerged as a new experience factor not explained by the existing model. By explaining specific positive and negative experience dimensions from the user's perspective based on theory, this study suggests directions for future related research and provides strategic insights for companies to improve and supplement their services for successful business operations.

• Journal of Korean Institute of Industrial Engineers
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• v.27 no.3
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• pp.267-273
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• 2001

While forecasting sales of a new product is very difficult, it is critical to market success. This is especially true when other products have a highly negative influence on the product because of competition effect. In this paper, we develop a choice-based competitive diffusion model and apply to the case where two digital mobile telecommunication services, that is, digital cellular and PCS services, compete. The basic premise is that demand patterns result from choice behavior, where customers choose a product to maximize their utility. In comparison with Bass-type competitive diffusion models, our model provides superior fitting and forecasting performance. The choice-based model is useful in that it enables the description of such competitive environments and provides the flexibility to include marketing mix variables such as price and advertising.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.8
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• pp.3926-3945
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• 2018

In Jøsang's trust model, trust evaluation is obtained through operators, but there are problems with the mutuality and asymmetry of trust and the impact of event weight on trust evaluation. Trust evaluation is updated dynamically and continuously with time and the process of interactions, but it has not been reflected in Jøsang's model. Therefore, final trust evaluation is not accurate, and malicious fraud cannot be prevented effectively. This causes the success rate of interaction to be low. To solve these problems, a new dynamic trust model is proposed based on extended subjective logic (DTM-ESL). In DTM-ESL, the event weight and the mutuality of trust are fully considered, the original one-way trust relationship is extended to a two-way trust relationship, discounting and consensus operators are improved, and trust renewal is designed based on event weight. The viability and effectiveness of this new model are verified by simulation experiments.

• International Journal of CAD/CAM
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• v.9 no.1
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• pp.121-128
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• 2010

The purpose of this study is to clarify the mechanical behavior of human lumbar vertebrae (L3/L4) with and without fusion bone under physiological axial compression. The author has developed the program code to build the patient specific three-dimensional geometric model from the computed tomography (CT) images. The developed three-dimensional model provides the necessary information to the physicians and surgeons to visually interact with the model and if needed, plan the way of surgery in advance. The processed data of the model is versatile and compatible with the commercial computer aided design (CAD), finite element analysis (FEA) software and rapid prototyping technology. The actual physical model is manufactured using rapid prototyping technique to confirm the executable competence of the processed data from the developed program code. The patient specific model of L3/L4 vertebrae is analyzed under compressive loading condition by the FEA approach. By varying the spacer position and fusion bone with and without pedicle instrumentation, simulations were carried out to find the increasing axial stiffness so as to ensure the success of fusion technique. The finding was helpful in positioning the fusion bone graft and to predict the mechanical stress and deformation of body organ indicating the critical section.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.1
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• pp.17-24
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• 2016

Many organizations have transformed their business in order to survive and compete in the future. They generate projects by creating a vision, using strategies and objectives with funds aligning strategies and make efforts to complete them successfully because project success leads to business success. All projects have triple constraints such as scope, time, and cost to be completed. Project cost performance is a key factor to achieve project goals and which is mostly related with risks among various cost drivers. Projects require a cost estimation method to complete them within their budget and on time. An accurate budget cannot be estimated due to the uncertainties and risks. Thus some additional money should be funded in addition to the base budget as a contingency reserve for identified risks and a management reserve for unidentified risks. While research on contingency reserve for identified risks included in project budget baseline have been presented, research on management reserve for unidentified risks included in total project budget is still scarce. The lack of research on estimation method and role of the management reserve have made project managers little confidence to estimate project budget accurately with reasonable basis. This study proposes a practical model to estimate budgets including contingency and management reserves for not only project cost management but also to keep the balance of organization's total funds to maximize return on investments for project portfolio management. The advantages of the proposed model are demonstrated by its application to construction projects in Korea and the processes to apply this model for verification are also provided.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.53-62
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• 2021

Distance learning (DL) has become a major issue in the educational field with the spread of COVID-19. In order to enhance the satisfaction of DL learners, efforts to cultivate learners' competencies, as well as investment to build IT infrastructure, and activities to support high-quality content provision should be comprehensively considered. Based on a survey of 221 college students, this study verified that digital literacy (knowledge, skill, and mind) and information systems success factors (system, information, and service quality) all positively affect DL satisfaction, in turn, which positively influences on DL continuance. This study is meaningful in that it comprehensively considered learner's ability and IT infrastructure and analyzed the effect on the satisfaction and intention of continuous use of DL. In the future, it is necessary to expand the target of not only college students but also elementary and secondary students and instructors, and to further consider interaction, which is a major factor in the distance learning process.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.197-207
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• 2013

The purpose of this study is to analyze the effect of controlling consulting service quality in relation to the factors of success and performances of the social enterprises. In order to achieve the objective of this study, securement of market competitiveness, entrepreneurship and network activity was defined to be the factors of success and the research model and hypothesis was set according to the theoretical basis of the factors of success, performances and the quality of consulting services. The results showed that first, securement of market competitiveness, entrepreneurship and network activities as factors of success all had significant effects on performances pertaining to both profit-making and public interest, having great influence on the securement of market competitiveness of the social enterprises. Secondly, as a result of analyzing the effects of controlling the quality of consulting services in relation to the relationship between the factors of success and management performances of the social enterprises, network activity showed to have significant effect on performances pertaining to both profit-making and public interest. Through this study, the importance and the necessity of the improvement of consulting services and network activities of social enterprises were highlighted and the necessity of a new consulting principle in the consulting industry that can be specialized to social enterprises is proposed.

• The Journal of Information Systems
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• v.28 no.4
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• pp.377-401
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• 2019

Purpose The purpose of this study is to investigate the effects of learning expectation and perceived knowledge sharing on user satisfaction and IS continuance in the Korean Army which is currently using the Regiments' Information System to help their Integrated Administration Management. Based on both the Information System(IS) Continuance Model and IS Success Model, this study also examine the role of system quality on user satisfaction. We develop a research model(structural equation model) and its hypotheses that learning expectation, perceived knowledge sharing, and system quality increase users' satisfaction, which leads to IS continuance. The effect of learning expectation on perceived knowledge sharing is also hypothesized. Design/methodology/approach Online Survey using e-mails was administered to test our research model and associated hypotheses. Among the 360 e-mail letters including our survey questionnaire, 285 responses were collected via e-mails. Meaningful 225 cases were analyzed for our study. SPSS Statistics 24.0 and SmartPLS 3.0 were used to analyze both measuremant test and hyotheses test by using the data set. Findings Survey results show that learning expectation(confirmation variable), learning expectation, perceived knowledge sharing(a perceived usefulness variable), and system quality(a system characteristic) each increases user satisfaction, which leads to IS continuance, under the control of the effect of habit to use information systems. Learning expectation also has a positive influence on perceived knowledge sharing. Theoretical and practical implications are presented.

• Management & Information Systems Review
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• v.9
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• pp.117-137
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• 2002

As attention to the Internet from both companies and individuals is rapidly on the increase, hundreds of new websites are opening in a single day. Along with such a high attention to the Internet, to set up an effective website needs efficient evaluation and reliable evaluation criterions for the website. The existing homepage contests and evaluation models are limited to certain websites in a special field or to the systemic side and to the contents, which in fact weakened the development of detailed evaluation sections and items possibly measured. This study is designed to integrate and seek out methods and success factors that should be considered when a website is built up, discovering evaluation criterions and making evaluation models objectively possible to be measured. The study focused on investigation into a new measurement standard and model by considering the previous studies, in order to suggest the followings: Centering the 7 top evaluation sections by type of each website such as (1) Service, (2) Mechanism, (3) Structure & Navigation, (4) Usability, (5) Contents (6) Community, (7) Communication, the study suggests an objective and reasonable website evaluation model on a basis of common factors considered in an integral and optimum view.