• Archives of design research
• /
• v.11
• /
• pp.84-93
• /
• 1995

The paper aims to identify major research issues and basic framework of computer supported collaborative work in design through reviewing recent changes in product development which is getting more integrated, collaborative and computerized. At first the importance of collaborative work in design is discussed throughout the development of design process: from blackbox approach in vernacular design to recent Nigel Cross' es Hybrid model. Then Concurrent Engineering and Quality Function Depolyment are reviewed for showing recent phenomena of integration and collaboration in the process of product development. Computer-aided product development is demonstrated with the case of Blackboard system and Computergenerated form development. In order to outline the fundamental approach for computer-supported collaborative work in design, structures and processes of some related projects are introduced. Finally, based on the findings, some research issues for further rJevelopment are proposed.

• Journal of Digestive Cancer Research
• /
• v.3 no.1
• /
• pp.1-4
• /
• 2015

• Environmental and Resource Economics Review
• /
• v.17 no.1
• /
• pp.83-120
• /
• 2008

Small and medium sized enterprises' (SMEs) environmental performance and activities have been often of great concern toward sustainability as they have been playing a critically important role in the economic and industrial development. Among many initiatives to engage SMEs into the sustainability framework, Supply Chain Environmental Management (SCEM) of large companies has a great potential to persuade SMEs to adopt environmentally improved activities. This study investigated the relationship between SCEM approaches of large companies and environmental activities of SMEs in the Korean electronics industry. A postal questionnaire survey was used as a data collection method, and factor analysis and regression analysis were applied to analyse the collected data. The empirical findings suggested that SCEM approaches of large companies have positive impacts on environmental activities of SMEs. Among SCEM approaches, the collaborative approach was more effective than the arm's-length approach. Additionally, this study found positive impacts of trans-national SCEM approaches on SMEs' environmental activities.

• Journal of the Korean Society for Library and Information Science
• /
• v.47 no.3
• /
• pp.97-117
• /
• 2013

This study aimed to explore group members' collaborative information by analyzing the number and the content of text contributions on the online discussion board in the group-based research project. This study explored graduate students' collaborative information behavior, affective approach, and types of collaboration and support needed in the group-based research project based on Kuhlthau's Information Search Process(ISP) Model and Yue and He's Collaborative Information Behavior(CIB) Model. It is expected that the results of this study will be useful for understanding of CIB in the group-based research project and applying information literacy instruction to information user in collaboration.

• Journal of Information Technology Application
• /
• v.1
• /
• pp.173-211
• /
• 1999

The task of classification permeates all walks of life, from business and economics to science and public policy. In this context, nonlinear techniques from artificial intelligence have often proven to be more effective than the methods of classical statistics. The objective of knowledge discovery and data mining is to support decision making through the effective use of information. The automated approach to knowledge discovery is especially useful when dealing with large data sets or complex relationships. For many applications, automated software may find subtle patterns which escape the notice of manual analysis, or whose complexity exceeds the cognitive capabilities of humans. This paper explores the utility of a collaborative learning approach involving integrated models in the preprocessing and postprocessing stages. For instance, a genetic algorithm effects feature-weight optimization in a preprocessing module. Moreover, an inductive tree, artificial neural network (ANN), and k-nearest neighbor (kNN) techniques serve as postprocessing modules. More specifically, the postprocessors act as second0order classifiers which determine the best first-order classifier on a case-by-case basis. In addition to the second-order models, a voting scheme is investigated as a simple, but efficient, postprocessing model. The first-order models consist of statistical and machine learning models such as logistic regression (logit), multivariate discriminant analysis (MDA), ANN, and kNN. The genetic algorithm, inductive decision tree, and voting scheme act as kernel modules for collaborative learning. These ideas are explored against the background of a practical application relating to financial fraud management which exemplifies a binary classification problem.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2005.06a
• /
• pp.65-70
• /
• 2005

This paper introduces an approach to multi-layered product knowledge model for collaborative engineering environment. The participants in collaborative engineering want to share and reason product knowledge through internet without any heterogeneity and ambiguity. However the previous knowledge models are limited in providing those aspects. In this paper, the collaborative engineering domain is analyzed and then the product knowledge is organized into four levels such as product context model, product specific model, product design model and product manufacturing model. The four levels are represented by first-order logic in layered fashion. The concepts and the instances of a formal ontology are used for recursive representation of the four levels. The instances of the concepts of an upper level like product context model are considered as the concepts of an adjacent lower level like product specific model, and this mechanism is applied to the other levels. These logic representations are integrated with the schema and the instances of a relational database. OWL representation of the four levels is defined through the integration of the logic representation and OWL primitives. The four product knowledge models have their major representation according to the characteristics of each model. This approach enables engineer to share product knowledge through internet without any ambiguity and utilize it as basis for additional reasoning.

• International conference on construction engineering and project management
• /
• 2020.12a
• /
• pp.323-330
• /
• 2020

Project delays, cost overruns, and disputes are becoming a norm for the construction industry in Hong Kong. Researchers argue that the inability of traditional contracts to manage risk and associated changes are perhaps the main points of contention. The Institution of Civil Engineers published a new engineering contract (NEC), NEC4 Suite of Contracts in this to facilitate better risk management through collaborative culture in construction projects. NEC aims to increase the chances of project success thought its flexible nature of contracts, 'simple' and 'clearly written' documents and provision for the incentive by adopting a better management approach. This paper focuses on traditional and NEC contracts to compare risk management and change management aspects. Through literature review and preliminary interviews with three industry professionals, the paper is exploring how a change in traditional contracts can recuperate from disaster. Our interviewees in this work have extensive experience in traditional as well as in NEC contracts. The results suggest a proactive risk management provisions in NEC contracts does make a difference to avoid later escalation of issues. Whereas, management of change helps streamline all identified issues through a structured process without going in mediation or litigation. NEC, with its new approach to collaborative working, allows partners to be vigilant, yet gratifying in the project process.

• Industrial Engineering and Management Systems
• /
• v.13 no.4
• /
• pp.421-431
• /
• 2014

The market basket data in the form of a binary user-item matrix or a binary item-user matrix can be modelled as a binary classification problem. The binary logistic regression approach tackles the binary classification problem, where principal components are predictor variables. If users or items are sparse in the training data, the binary classification problem can be considered as a cold-start problem. The binary logistic regression approach may not function appropriately if the principal components are inefficient for the cold-start problem. Assuming that the market basket data can also be considered as a special regression problem whose response is either 0 or 1, we propose three supervised learning approaches: random forest regression, random forest classification, and elastic net to tackle the cold-start problem, comparing the performance in a variety of experimental settings. The experimental results show that the proposed supervised learning approaches outperform the conventional approaches.

• Journal of Information Technology Applications and Management
• /
• v.16 no.3
• /
• pp.17-28
• /
• 2009

This paper presents a novel method for evaluating the usefulness of online product recommendation. Previous studies on evaluating recommendation systems have mostly relied on two methods : testing the accuracy of estimating user preferences by recommendation systems, or empirically testing the effectiveness with lab experiments involving human participants. The former does not measure the usefulness directly and hence can be misleading; the latter is expensive in that it requires a working online store System and test participants. In order to address the problems, the proposed approach uses simulation to imitate customer behavior and evaluate the usefulness of recommendation. Models for user behavior and an abstract Internet store are developed for simulation. Actual simulation experiments are performed to illustrate the use of the approach.

• Journal of Korea Technology Innovation Society
• /
• v.8 no.2
• /
• pp.605-622
• /
• 2005

Because, next generation web, semantic web consists of documents with semantic information, it enables computer interpret the contents of the documents, so that the information retrieval, interpretation and integration can be automated. The web documents with the semantic information may be made in ontology. In this paper, collaborative approach among the ontology design techniques is more excellent than the other techniques because it design the ontology through continuous evaluations and modification in terms of multiple views. So, we propose the process of designing and implementing the ontology for specific domain, which is Yeomigi tour place. Delphi technique, that is a kind of collaborative approach, is used when the ontology is designed.