• Journal of Technology Innovation
• /
• v.6 no.2
• /
• pp.122-158
• /
• 1998

This study empirically examined different patterns of collaborative R&D project with their key success factors(KSFs), using data from 82 projects in the Korean electronic parts industry. The patterns of R&D collaboration were categorized into 4 types by two criteria development motive(technology Push/market pull) and Project initiator (focal firm/partner). The bivariate relationships revealed that project characteristics (technological complexity, market uncertainty), management characteristics (participation in project formulation), problem solving characteristics(problem solving performance of the focal firm, users active role in problem solving, active role of university or research institute in problem solving) and success rates appear to be different among four types of collaboration. Each type of collaborative R&D projects also had different KSFs. The KSFs of type 1 (technology Push and focal firm initiation), for instance, include the strategic importance of the project, focal firms share of cost, active role of university or research institute in problem solving, while those of type 4(market pull and customer initiation) cover reliability of partner relationship, a time at partners involvement, information sharing. The findings suggest that the different contingencies brought different patterns and KSFs of collaborative R&D project, since different information, resources, and partners roles were needed to successfully implement the projects according to development motive and project initiator Finally, managerial, policy, and theoretical implications for the collaborative R&D activities in the Korean electronics parts industry were discussed, based on empirical results of this study.

• International Journal of High-Rise Buildings
• /
• v.3 no.4
• /
• pp.279-283
• /
• 2014

This paper introduces two platforms created by the development team at CORE studio, Thornton Tomasetti's global innovation studio. Collaborative platforms change the way that parties communicate and develop projects. Wikipedia is one of many great examples for a platform that supports collaborative development of a product - the world's largest encyclopedia. In the AEC industry, no such platform exists that can be used for collaborative development of a building project, and hence, information exchange between the parties involved, and modeling programs used in a project is slow and opaque. The platforms introduced in this paper allow for much greater transparency at all stages of the building design process, and hence improve the flow of information between parties involved in the process, both firm-internal and external. While traditionally, the use of a large number of different modeling and analysis platforms is hard to manage by a project team; this paper introduces methods that strengthen the design process by using a multitude of programs needed in the different building design phases.

• IE interfaces
• /
• v.18 no.3
• /
• pp.221-233
• /
• 2005

e-Manufacturing can be referred to as a system methodology enabling the integration of manufacturing operations and IT technologies to achieve objectives of an enterprise. It is recently regarded as a powerful solution to survive in a chaotic marketplace. While conducting an e-Manufacturing project, we first needed to capture collaborative processes conducted by multiple participants in order to define functions of a system supporting them. However, pervasive process modeling techniques including IDEF3, Petri nets, and UML are not sufficient for modeling collaborative processes. Therefore, we first briefly investigate several process modeling methods including aforementioned modeling methods and ARIS focusing on the collaboration point of view. Then, we propose a new modeling method referred to as Collaborative Process Modeling (CPM) to clearly describe collaborative processes. Also, we develop and illustrate a rule for transforming collaborative process models into Marked Graph models to use the analysis power of the Petri nets. Using CPM empowers us to develop collaborative process models with simple notations, understand and facilitate the realization of the collaboration, and verify models before rushing into the development.

• Journal of The Korean Association of Information Education
• /
• v.15 no.4
• /
• pp.525-531
• /
• 2011

This study is about the system for knowledge management in the Wiki-based project learning. We implement the Wiki-based project learning system which is focused on a new Web paradigm and technology development to grasp the knowledge flow of a learner effectively under a project learning condition. Implementation of the system has used a Web 2.0 technology to easily understand SECI Knowledge Management types which form the Externalization, Combination and Internalization steps. Moreover, the system structure has been designed instinctively for harmonious knowledge use or reuse. As a result of the experiment, we found out that the collaborative knowledge steps moved along the flow of project learning.

• Journal of Information Technology Services
• /
• v.18 no.4
• /
• pp.83-95
• /
• 2019

It is becoming more and more difficult to cope with new knowledge and technology required by society by the efforts of one person or organization according to the development of science and technology. As a method to overcome this, collaborative research is becoming important. This tendency is increasing in the government R&D projects as well, and the 'A' test research institute, which is the subject of this paper, is also increasing a collaborative research. The purpose of this study is to analyze the network characteristics among the participating researchers in the government R&D project conducted by the institution A, and to ascertain how the network characters of the researchers actually affect the financial performance of the team. The results of the analysis show that 'closeness centrality' and 'degree of centrality' contribute positively to the financial performance of the team. On the other hand, 'betweenness centrality' and 'eigenvector centrality' have a negative effect on the financial performance of the team because they are not directly related to financial performance.

• International Journal of Contents
• /
• v.7 no.2
• /
• pp.32-35
• /
• 2011

This research would be the first step toward in the long processes of proton technology industrial cluster development by focusing on the region's readiness and acceptability of the proton technology project. As is shown in our questionnaire survey, the top priorities needed to consider for the Proton Technology project are found to be job creation (mean 3.74), regional economic development (mean 3.72), industry infrastructure(3.54), institution for science and education(3.53), economic inequalities(3.33), tourism industry revitalization(3.20). For public servants top priorities in order found to be regional economic development, job creation, industry infrastructure, institution for science and education, economic inequalities, tourism industry revitalization. Universities' priorities in order found to be job creation, regional economic development, institution for science and education, industry infrastructure, economic inequalities, tourism industry revitalization. The mean reliability score for the each party was found to be mayor((3.04), citizens(2.99), province(2.97), private corporation(2.96), and universities((2.93). Of particular note, the mean score except the mayor were all below median (3.00). province(3.24), city council member(3.20), public employees (3.09), private corporation(3.03), nonprofit organization (2.97), mass media (2.96), citizens(2.96), and universities(2.89). The universities and colleges also should revise their strategic plans and thus restructure their internal academic programs, and must develop their own collaborative programs with Proton Engineering Frontier Project, related industries, city, and other government units. Not only educating, training, and providing top-notched man powers to the proton technology industries will be one of their primary missions.

• International Journal of Advanced Culture Technology
• /
• v.9 no.1
• /
• pp.162-167
• /
• 2021

The aim of this paper is to analyze the development of effective online Problem-Based Learning (PBL) and Project-Based Learning (PjBL). The collaborative PBL/PjBL become one of the hot issues with the rapid growth of online learning in the era of COVID-19. Educators try to get innovative to continue instruction without sacrificing student engagement, thus adopting an instructional model of PBL/PjBL. The PBL process involves clarifying terms, defining complex problems, brainstorming, structuring and hypothesis while PjBL includes project-planning, implementation, communicating the results of a project in a presentation and evaluations with immediate individually tailored feedback within a predetermined period. Despite the differences between online and offline learning, the benefits of learning online or offline are practically the same if enough bidirectional interactions between instructors and students are possible. We argue that online qualifications are just the same as those of offline ones in PBL/PjBL models, therefore, the standards of online/offline learning are identical since education is a two-way communication.

• Journal of Information Technology Services
• /
• v.5 no.1
• /
• pp.177-190
• /
• 2006

Since their first inception a few decades ago, software components have received much attention mainly due to their alleged benefits of quality and productivity improvement. Despite this, it is yet to be agreed upon what and how components should be designed. This paper aims to bridge the gap by proposing a collaborative process where the voice of the customer is captured and documented by employing the event and entity models. These requirement elements (WHAT) are cross-tabulated in three relation matrices in accordance with the weights provided by the business users. The requirements are fed into the algorithm invented by the authors to optimize the component grouping (HOW). This collaborative process has been successfully validated at an enterprise wide software development project. The process was effective to help the users more actively involved in the design of the system and made the whole process faster and more adaptive to the changes.

• Journal of Korea Multimedia Society
• /
• v.6 no.4
• /
• pp.685-697
• /
• 2003

The Web based multimedia programmes/courses are becoming widely available in recent years. Most of these courses focus on Behaviorist way of learning, which does not promote deep learning in any way. For Adults this approach further incapacitated, as it does not satisfy Andragogical needs. The search for Constructivist way of learning through the web applied to Indian conditions led to need for developing a curriculum development approach that would promote construction of knowledge through web based collaboration. This paper attempts to reengineer existing curriculum development processes and lays out a framework of‘Problem Based Online Learning (PBOL)’curriculum design. In this context, entire curriculum development life cycle is evolved and explained. This is a part of doctoral work (Ph.D), which is in progress and being undertaken by K.James Mathai, and guided of Dr.D.S.Karaulia.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.10
• /
• pp.3554-3570
• /
• 2021

With the rapid development of the Chinese water project, the safety monitoring of dams is urgently needed. Many drawbacks exist in dams, such as high monitoring costs, a limited equipment service life, long-term monitoring difficulties. MEMS sensors have the advantages of low cost, high precision, easy installation, and simplicity, so they have broad application prospects in engineering measurements. This paper designs intelligent monitoring based on the collaborative measurement of dual MEMS sensors. The system first determines the endpoint coordinates of the sensor array by the coordinate transformation relationship in the monitoring system and then obtains the dam settlement according to the endpoint coordinates. Next, this paper proposes a dual-MEMS sensor collaborative measurement algorithm that builds a mathematical model of the dual-sensor measurement. The monitoring system realizes mutual compensation between sensor measurement data by calculating the motion constraint matrix between the two sensors. Compared with the single-sensor measurement, the dual-sensor measurement algorithm is more accurate and can improve the reliability of long-term monitoring data. Finally, the experimental results show that the dam subsidence monitoring system proposed in this paper fully meets the engineering monitoring accuracy needs, and the dual-sensor collaborative measurement system is more stable than the single-sensor monitoring system.