• Journal of Korea Society of Industrial Information Systems
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• v.22 no.4
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• pp.97-115
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• 2017

The Purpose of this is to Examine the Effects of Collaborative Relations of Supplier- Buyer, Sustainable Supply Chain Management(SCM) Sctivities, and Collaborative Performance in Automobile-part Companies. The Proposed Research Model is Tested using Structural Equation Modeling for Hypotheses based on the Data Collected from 274 Firms. The Results Indicate that Collaborative Relations of Supplier-buyer Positively Affect Sustainable SCM Activities. In Addition, Sustainable SCM Activities Positively Affects Collaborative Performance. The Results of the Study Show that Collaborative Relations of Supplier-buyer is Positively Associated with Sustainable SCM Activities in both Supplier and Buyer Firms. Sustainable SCM Activities have a Significant Impact on Collaborative Performance in both Parts. In Addition, Collaborative Relations of Supplier-buyer have a Significant Impact on Collaborative Performance of Buyer Firms but Supplier. This Study would Provide Useful Information for Collaboration between Supplier and Buyer to have a Long-term Strategic Relationship on Sustainable SCM Activities, which Impact on Collaborative Performance and Competitive Advantages.

• Korean Management Science Review
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• v.23 no.2
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• pp.1-16
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• 2006

With the diffusion of the Internet, firms try to electronically collaborate with their partners in order to cut costs and gain profits. This, electronic Partnership, called 'Collaborative IT' is quite popular between large purchase enterprises and small-to-medium sized sub-contractors. This study investigates such relations. This study proposes three groups of research variables-interorganizational relationship, collaborative IT activity, and firm performance. the interorganizational relationship consists of trust, commitment, and asymmetry of commitment. Collaborative IT activity is composed of information sharing and workflow integration. The ultimate dependent variable is firm performance. It is hypothesized that the relationship factors influence the level of collaborative IT activity, while the latter in turn affects the firm performance. The relationship factors nay also directly affect the dependent variable. In addition, collaborative IT motive, as a moderating variable, may influence the causal relationship. By means of survey, ore hundred and eighty-two responses were obtained. Most sample companies are small-sized, in the manufacturing sector. The analysis of data reveals that both trust and commitment positively affects the level of collaborative IT activity, while asymmetry of commitment has negative effects. The workflow integration is significantly related with firm performance. Information sharing, however, has no signific3nt effects. Furthermore, asymmetry of commitment shows reverse relationship with firm performance. Collaborative IT motive works as a moderating variable between information sharing and firm performance. Finally, workflow integration is believed to mediate between relationship factors and firm performance.

• World Technopolis Review
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• v.5 no.1
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• pp.71-82
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• 2016

This paper explores, explains and describes a framework for analyzing collaborative governance, decent work and innovation as fundamental elements of sustainable workplaces through case study of Philippine science and technology (S & T) parks. Rules, or the legal infrastructure, are particularly significant considerations that facilitate or hinder collaboration. Industrial relations/human resource (IR/HR) practices are essential to collaboration and decent work. Employee consultation and labor-management council or committee are examples of IR/HR practices that might contribute to collaboration and decent work in firms and workplaces in S & T parks as they are team approaches to production, too. Collaboration and decent work enhance the capacity to innovate. In the long run, collaborative governance, decent work and innovation tend to converge in the concept of sustainable development. The interdependencies and interactions among collaborative governance, decent work and capacity to innovate in firms operating in S & T parks make possible new solutions to new problems (i.e., innovation) and, thus, sustainable workplaces.

• Korean Institute of Interior Design Journal
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• no.40
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• pp.158-164
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• 2003

The rapid development of information technology has much influence on architectural design. Collaboration beyond time and space has been possible by networking the work environment and digital products. Thus, the virtual design studio on architectural design is getting more important than ever before. This research investigates a virtual design studio methodology for effective collaboration. The building design process and the communication model are studied and possible modes of design collaboration are defined. This paper proposes an internet-based Virtual Reality(VR) communication tool as well as new design methodology that we call the 'Hybrid Design Methodology'. We expect that this design methodology will dramatically increase design feedbacks, and thus results in better design alternatives. There are two issues involved in developing the collaborative virtual design studio: 1) an intuitive interface that presents collaborative relations, and 2) three-dimensional computer-mediated communication tool using sketch as a modeling method. Further research issues identified at the end of the research include developing algorithms that translate mapping images to polygons for the drafting phase in the design process.

• Journal of the Korean Data and Information Science Society
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• v.21 no.1
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• pp.185-194
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• 2010

In recommender systems which are used widely at e-commerce, collaborative filtering needs the information of user-ratings and neighbor user-ratings. These are an important value for recommendation in recommender systems. We investigate the in-formation of rating in NBCFA (neighbor Based Collaborative Filtering Algorithm), we suggest new algorithm that improve prediction accuracy of recommender system. After we analyze relations between two variable and Error Value (EV), we suggest new algorithm and apply it to fitted line. This fitted line uses Least Squares Method (LSM) in Exploratory Data Analysis (EDA). To compute the prediction value of new algorithm, the fitted line is applied to experimental data with fitted function. In order to confirm prediction accuracy of new algorithm, we applied new algorithm to increased sparsity data and total data. As a result of study, the prediction accuracy of recommender system in the new algorithm was more improved than current algorithm.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.3
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• pp.632-638
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• 2009

Probabilistic Latent Semantic Analysis has many applications in information retrieval and filtering, natural language processing, machine learning from text, and in related areas. In this paper, we propose an algorithm using weighted Probabilistic Latent Semantic Analysis Model to find the contextual phrases and opinions from documents. The traditional keyword search is unable to find the semantic relations of phrases, Overcoming these obstacles requires the development of techniques for automatically classifying semantic relations of phrases. Through experiments, we show that the proposed algorithm works well to discover semantic relations of phrases and presents the semantic relations of phrases to the vector-space model. The proposed algorithm is able to perform a variety of analyses, including such as document classification, online reputation, and collaborative recommendation.

• Journal of muscle and joint health
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• v.23 no.2
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• pp.105-113
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• 2016

Purpose: The purpose of this study was to investigate the effect of Situation-Background-Assessment-Recommendation (SBAR) reports on communication clarity and nurse-physician collaborative relationships. Methods: SBAR forms in one group were measured at baseline, at 2 weeks, and at 4 weeks postintervention. The subjects were 30 nurses who worked in a general ward of a general hospital in B city, Korea. A 45-minute SBAR education was provided to all subjects. Data was collected between September to October 2015. The collected data was analyzed using a repeated measure ANOVA. Results: After SBAR reports, levels of nurse's communication clarity and nurse-physician collaborative relationships were significantly higher than levels before SBAR reports. Conclusion: SBAR reports improved the communication clarity and nurse-physician collaborative relationships. It is recommended to use a lot of SBAR in clinical practice.

• The KIPS Transactions:PartB
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• v.19B no.1
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• pp.31-36
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• 2012

In recent years, there has been increasing interest in recommender systems which provide users with personalized suggestions for products or services. In particular, researches of collaborative filtering analyzing relations between users and items has become more active because of the Netflix Prize competition. This paper presents the reinforcement learning approach for collaborative filtering. By applying reinforcement learning techniques to the movie rating, we discovered the connection between a time sequence of past ratings and current ratings. For this, we first formulated the collaborative filtering problem as a Markov Decision Process. And then we trained the learning model which reflects the connection between the time sequence of past ratings and current ratings using Q-learning. The experimental results indicate that there is a significant effect on current ratings by the time sequence of past ratings.

• The Transactions of the Korea Information Processing Society
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• v.7 no.9
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• pp.2807-2814
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• 2000

In this paper, we suggest a visual language supporting collaboration with functional attributes. The visual language is a set of visual sentences that consist of object icons and operators. The object icon is a user who participates in collaboration. And, the operator means interactive relations between users according to a point of collaborative time. The functional attributes that support various computing orders provide flexibility of interactive relations on collaboration. Also, using representation both synchronous and asynchronous relations in collaboration, the visual language supports efficiently collaboration than conventional visual languages. And, functional attributes of visual sentences are analyzed using $\lambda$ expressions.

• World Technopolis Review
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• v.1 no.3
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• pp.192-205
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• 2012

Globalization has fuelled the desire for simplicity and flexibility in rules and processes within nations. de Soto (2000) calls for the simplification of rules to enable people to join the formal economy. Friedman (2005) echoes the need for simpler rules, to attract business and capital. Market-based approaches to governing have been adopted in many nations due to globalization. Recent developments demonstrate that such approaches fail. Globalization may lead to impoverishment in the absence of proper forms of governance (Cooney 2000). That is why it has the tendency to become a "race to the bottom." Regulatory measures can be costly, and the costs of doing business are uneven across nations. This unevenness is being used as a comparative advantage. Others call this regulatory competition (Smith-Bozek 2007) or competitive governance (Schachtel and Sahmel 2000), which is similar to the model of Charles Tiebout. Collaborative governance is an approach that governments could use in lieu of the competitive method. Mechanisms that enable stakeholders to exchange information, harmonize activities, share resources, and enhance capacities (Himmelman 2002) are needed. Philippine public policy encourages a shift in modes of realizing labor market governance outcomes from command to collaboration (Sale and Bool 2010B; Sale 2011). Is labor market governance and regional development in the Philippines collaborative? Or is the opposite - competitive governance (Tiebout model) - more evident? What is the dominant approach? This preliminary research tackles these questions by looking at recent data on average and minimum wages, wage differentials, trade union density, collective bargaining coverage, small and bigger enterprises, employment, unemployment and underemployment, inflation, poverty incidence, labor productivity, family income, among others, across regions of the country. The issue is studied in the context of legal origins. Cultural explanations are broached.