Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Suchul Lee is active.

Publication


Featured researches published by Suchul Lee.


Journal of Knowledge Management | 2014

Measuring the risk of knowledge drain in communities of practice

Suchul Lee; Euiho Suh; Modeum Lee

Purpose – The aim of this paper is to develop a metric that quantitatively measures the risk of knowledge drain associated with the departure of a member in communities of practice (CoP). Design/methodology/approach – This paper considers two possible cases in which departure of a member has a high risk of causing knowledge drain: when the member is a network leader, and when the member is an isolated expert. Network analysis is used to identify network influence of each member. The proposed metric is designed considering network influence and knowledge level of individual members, and applied to a case study using real-world data from an online CoP. Findings – This paper demonstrates that the proposed metric properly provides information about the members whose departure could cause serious damage to the CoP because of their strong influence or their inactivity in the network. The metric enables practitioners to identify critical members, and to enact precautions to reduce the vulnerability of the CoP. O...


Technology Analysis & Strategic Management | 2016

A comparative analysis of the change in R&D efficiency: a case of R&D leaders in the technology industry

Hongseok Jang; Suchul Lee; Euiho Suh

ABSTRACT This paper measures the cumulative change in research and development (R&D) efficiency of globally leading R&D companies in the technology industry. We use Data Envelopment Analysis /Malmquist index to analyse 49 such companies. The change in R&D efficiency is analysed by decomposing the Malmquist index into ‘catch-up’ and ‘frontier shift’ indices, and by comparing cumulative indices to those at the starting period. Those cumulative indices are obtained at both a firm and an industry level. Results indicate that the overall R&D efficiency of these globally leading R&D companies declined slightly during the period 2007–2013. At a firm level, this study determines in detail how the trend of each firm in R&D activities differs from other companies.


Journal of Knowledge Management | 2014

Structural health assessment of communities of practice (CoPs)

Suchul Lee; Yong Seog Kim; Euiho Suh

Purpose – This paper aims to provide organizational knowledge management teams with a new metric, the bottleneck impact score (BIS), a valuable tool for evaluating the structural health of communities of practice (CoPs), by detecting the seriousness and pervasiveness of the bottlenecks occurring in knowledge-sharing activities among CoP members. Design/methodology/approach – This paper uses the social network analysis method to analyze the activities of organizational members in CoPs and classify organizational members into four types based on their degree of involvement in knowledge creation and consumption. CoPs are also categorized into four types based on the proportion of member types they contain to identify the characteristics of CoP member types and of CoP types. Findings – Data analysis of the knowledge-sharing activities of 4,414 members from 59 CoPs within one of the largest steel manufacturing companies finds that few CoPs are active in both knowledge creating and consuming and that most CoPs ...


Archive | 2015

Membership Reconfiguration in Knowledge Sharing Network: A Simulation Study

Suchul Lee; Yong Seog Kim; Euiho Suh

The purpose of this study is to propose a new approach that minimizes the negative impacts of structural barriers to knowledge sharing in the current of knowledge sharing networks by dynamically reconfiguring communities of practice (CoP) memberships. For this purpose, we develop several propositions to determine source CoPs, destination CoPs, rearrangement candidates, and recipient candidates to regulate the process of reconfiguring collaboration networks of source CoPs and reconstructing networks of destination CoPs after reallocating members from source CoPs to destination CoPs. To test the validity and usefulness of the proposed approach, we simulate two reconfiguration strategies that are different in the sense whether or not the distribution of expertise levels of CoP members is considered to determine the destination CoP. Our experimental results confirm that the proposed approach with either strategy effectively decreases potential threats to collaboration among CoP members and improves the structural healthiness of knowledge sharing networks of departments and organization. In particular, the number of CoPs in which knowledge creating is more active than knowledge sharing is significantly increased while the number of inactive CoPs is decreased. We attribute this finding to the fact that both experts and non-experts members are more evenly distributed across CoPs through rearrangement and these experts with light collaboration burden post their knowledge and practical skills to help non-experts in their CoPs.


Information Systems Review | 2011

A New Approach to Improve Knowledge Sharing Activities at the Organizational Level by Rearranging Members of Current CoPs

Suchul Lee; Euiho Suh; Dae-Geun Hong


International Journal of Technology Management | 2016

Measuring the change in knowledge sharing efficiency of virtual communities of practice: a case study

Suchul Lee; Jongyi Hong; Euiho Suh


americas conference on information systems | 2012

Health Diagnosis of Communities of Practices (CoPs)

Suchul Lee; Euiho Suh; Yong Seog Kim


대한산업공학회 추계학술대회 논문집 | 2012

Building a model to identify factors affecting consumers’ purchase intention online

Di Sun; Euiho Suh; Suchul Lee


Information Systems Review | 2017

핀테크 서비스에서 오프라인에서 온라인으로의 신뢰전이에 관한 연구-스마트뱅킹을 중심으로-

애제; 고미현; 이보형; Sundong Kwon; Suchul Lee


한국산업정보학회 학술대회논문집 | 2014

Framework for Analyzing the Efficiency of Virtual CoP

Jongyi Hong; Suchul Lee; Euiho Suh

Collaboration


Dive into the Suchul Lee's collaboration.

Top Co-Authors

Avatar

Euiho Suh

Pohang University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jongyi Hong

Pohang University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Dae-Geun Hong

Pohang University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Hongseok Jang

Pohang University of Science and Technology

View shared research outputs
Researchain Logo
Decentralizing Knowledge