• Journal of Information Technology Services
• /
• v.15 no.3
• /
• pp.173-193
• /
• 2016

Start-ups do not have enough resources such as financial capital and established customer base. Knowledge base of start-up team members is the crucial and unrivaled resource. This study tries to explicate the knowledge sharing process occurring in this knowledge base of start-up teams. Adopting the knowledge process view, detail process of knowledge sharing process model is constructed consisting of knowledge sharing speed, quality and quantity in a form of nomological net and empirically tested. In addition, preceding antecedents and consequential outcomes of this knowledge sharing is also posited as part of the research model : knowledge state of the team leading to team creativity and agility via the explicated knowledge sharing process model. Also, as this knowledge based view are triggered by the advance of IT in general, IT support is conceptualized as an antecedent and measures are operationalized. 230 data points were collected from start-up teams. Via data analysis using PLS, theoretical relationships from knowledge state, IT support, knowledge sharing process and knowledge consequences are found to be empirically supported except a few not supported. Most of all, team agility and team creativity are theoretically supported and empirically validated as critical outcome variables beyond performance measures. Though agility and creativity has been discussed as critical construct in start-up teams, it has not be much validated empirically. Also, interestingly, IT support are found to be significantly impacting the knowledge sharing process as expected. Academic contributions and implications for practice are discussed at the end with limitations and further research.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.11 no.6
• /
• pp.27-37
• /
• 2016

Startup teams should be prompt to seize an business opportunity and handle various business problems with which they has not been faced before. This research examines and compares the hypotheses about the processes of communication media usage, knowledge sharing and team agility by the level of task conflict. In order for detailed investigation, each of antecedent was divided into sub-dimensions: communication media usage into synchronous and asynchronous media usage, and knowledge sharing into speed and quantity of knowledge sharing. Team agility, the dependent variable, was proposed as an important success factor of startup teams. The research model describes that the communication media usage affects knowledge sharing and consequently team agility. The differences of media usage and relationships among variables were proposed as the level of task conflict in teams. 230 data points were collected from startup teams under 5 years and statistically processed to test research model and hypotheses. From the total sample analysis, the results indicate that the knowledge sharing speed is positively associated with the quantity, and the knowledge sharing speed and quantity have positive associations with team agility. Both synchronous and asynchronous communication media usage also has significant positive associations with knowledge sharing speed. On the other hand, media usage did not show significant direct association with knowledge sharing quantity. From the group comparisons of task conflict, it was found that the higher task conflict, the higher in media usage, knowledge sharing speed and quantity, and team agility. The process of media usage, knowledge sharing, and team agility were found to be different between the high and low task conflict. From these results, the authors discussed and proposed some implications for startup team leaders.

• International Journal of Knowledge Content Development & Technology
• /
• v.6 no.2
• /
• pp.43-66
• /
• 2016

The primary objective of this study was to investigate the perception of informational professionals' knowledge sharing practices in social media platforms. The specific objectives of the study included learning professionals' perceptions and awareness of knowledge sharing using social media, understanding their opinions and beliefs, and gaining familiarity with and reasons for using these tools. Open & close ended web-based questions were sent out by email to the international training program (ITP) participants. Findings indicated that most of the respondents' were aware of using social media and that they used social media for knowledge sharing. Speed and ease of use, managing personal knowledge, easier communication with users and colleagues and powerful communication tool are the areas that motivated them to use it. It also stated some barriers like lack of support, familiarity, trust, unfiltered information and fear of providing information. The study was limited to the perceptual aspect of the issue, specifically from the individuals' opinions and sentiments.

• Knowledge Management Research
• /
• v.9 no.4
• /
• pp.157-178
• /
• 2008

It is well known in KM (Knowledge Management) literature that a certain amount of knowledge is necessary for KM to contribute to corporate performance to some extent. However, for a company to amass knowledge is very difficult due to limited time and poor understandings from employees. Especially, it becomes harder in public organization where simulating financial motif among members is constrained. In this respect, KORAIL, one of typical and leading public organizations in Korea, shows very unique example in which KORAIL succeeds in catalyzing the knowledge circulation process among members, string the resulted working knowledge, and then sharing it to improve working performance at an individual level as well as team level. This KORAIL case will help understand how important the knowledge circulation speed is to improving the corporate performance.

• Journal of Institute of Control, Robotics and Systems
• /
• v.11 no.10
• /
• pp.837-842
• /
• 2005

The computational modeling and simulation of complex biological systems are indispensable for new knowledge extraction from huge experimental data and ever growing vast amount of information in systems biology. Moreover, gathering and sharing of the existing information and newly-generated knowledge can speed up this research process. In this regard, several modeling projects have been undertaken for quantitatively analyzing the biological systems via the internet. They include Virtual Cell, JWS and OBIYagns. We also develop an integrated web-based environment, which facilitate investigation of dynamic behavior of cellular systems.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2003.05a
• /
• pp.400-409
• /
• 2003

Collaborative filtering (CF) recommendation is a knowledge sharing technology for distribution of opinions and facilitating contacts in network society between people with similar interests. The main concerns of the CF algorithm are about prediction accuracy, speed of response time, problem of data sparsity, and scalability. In general, the efforts of improving prediction algorithms and lessening response time are decoupled. We propose a three-step CF recommendation model which is composed of profiling, inferring, and predicting steps while considering prediction accuracy and computing speed simultaneously. This model combines a CF algorithm with two machine learning processes, SOM (Self-Organizing Map) and CBR (Case Based Reasoning) by changing an unsupervised clustering problem into a supervised user preference reasoning problem, which is a novel approach for the CF recommendation field. This paper demonstrates the utility of the CF recommendation based on SOM cluster-indexing CBR with validation against control algorithms through an open dataset of user preference.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.4 no.2
• /
• pp.127-132
• /
• 2002

All the countries in RA II (Asia Region in WMO) welcome the establishment of a Web site dedicated to agricultural meteorology, because it is believed that the best way to improve and speed up the flow of information is the use of the Internet and the establishment of a Web site. In providing recommendation for the promotion and improvement of the AgroMeteorological service in RA II, a couple of key suggestions were proposed: (a) Exchanges of data and AgroMeteorological knowledge between member countries and between RAs, (b) Exchanges of experts between member countries as a necessary way to share the knowledge, and (c) Joint research between member countries to solve common problems in AgroMeteorological affairs. In order to meet the above requirements for RA II, an AgroMeteorological information network will be the most critical and dynamic aspect in sustainable agriculture in this region. In addition, the establishment of a Core AgroMeteorological station, recommended by CAgM of WMO, will require its own information sharing systems for communication among member countries. Inevitable use of information technologies (IT) such as information networks, databases, simulation models, GIS, and RS for regional impact assessment of environmental change on AgroEcosystem will be enforced. Thus, the regional Internet-based Agrometeorological information network has been in place since 1999, though all contributions to it have been volunteered by individuals, institutes, universities, etc.

• Journal of the Korea Society of Computer and Information
• /
• v.6 no.3
• /
• pp.143-151
• /
• 2001

Fashion Industry is one of the Knowledge Based Industry. The firms which produce the fashion merchandises should shirt to new paradigm of creating new image to delight customers. New image and design is derived from each designer's creative mind. However, self management team work of designers is more creative power than each independent designer's work. This study recommends that the Korean fashion firms implement self management team, concurrent product design and development and Just-in-Time Ⅱ based on sharing information and knowledge with the supplier to set competitive advantage. It can not only reduce cost and improve speed of management and the qualify of products but also satisfy and delight customers.

• Journal of the Korea Society for Simulation
• /
• v.6 no.2
• /
• pp.31-44
• /
• 1997

In medical applications, the cooperation work using computer network is in the spotlight as next generation technology, because it offers sharing of equipments, knowledge of specialists, and data and surmounts the limitations of geographical position and time. We present a prototype of telepresent surgical simulation system in this treatise. It is a telemedicine system using volume image, which is reconstructed from radiological images such as MRI and CT. It is used as a tool for surgical simulation among telepresent doctors. It provides the functions of conference control, volume reconstruction and manipulation, and multimedia database management among one server and multi-clients through high-speed network. It is implemented on Unix workstation using X-windows and C language, TCP/IP protocol and UNiSQL as DBMS.

• Journal of the Korea Safety Management & Science
• /
• v.15 no.3
• /
• pp.151-161
• /
• 2013

This paper proposes a strategic model of linkage between productivity metrics and financial accounting metrics to properly evaluate the financial effect of TPM activities and the business performance. This linkage strategy provides a connection tool for clear communication between factory-level and headquarters that the metrics proposed by this paper ultimately improves a quality of support from the management by receiving the factors required for productivity activities in the practical field. This factor includes such as equipment, raw materials and labors. Here, we propose that chain reaction models using break down structure of productivity metrics and financial metrics enhance the knowledge sharing of KPI (Key Performance Indicator) which generally tend to create oversimplified communication between management in headquarters and employees in the practical fields. The productivity metrics include OEE(Overall Equipment Effectiveness) of TPM (Total Productive Maintenance), OLE (Overall Labor Effectiveness) of PAC(Performance and Analysis and Control) activities, and OYE (Overall Yield Effectiveness) of TMM(Total Material Management) activities. The financial accounting metrics include ROE(Return on Equity), ROA(Return on Asset), and AVR(Added-Value Rate). The suggested chain reaction model selects the financial metrics as initial stage and branch down until final stage of productivity metrics. When demand exceeds supply, an ideal speed rate, the lean OEE strategy can be initially applied to reduce the gap between the demand and supply, then apply variable costing to estimate correct amount of operating profit. In addition, the paper presents a new type of model for linkage between financial accounting metrics including CAPEX(Capital Expenditure), OPEX(Operating Expenditure), EVA(Economic Added Value), DCL(Degree of Combined Leverage), and TPM productivity activities including AM(Autonomous Maintenance), PM(Preventive Maintenance), MP(Maintenance Prevention) and QM(Quality Maintenance). In order to support the evidence of proposed linkage strategy, a case analysis on 52 projects from national TPM contest from 2011 to 2012 is analyzed. The case presents the classification of CAPEX and OPEX activities from TPM, and proposes the correct implementation of financial effect for TPM projects.