• Title/Summary/Keyword: Collaboration Support

Search Result 585, Processing Time 0.027 seconds

A Study on the Collaboration Development between the SSM and Traditional Markets in Korean Government Policies

  • Suh, Geun-Ha;Park, Seung-Je;Suh, Chang-Soo
    • Journal of Distribution Science
    • /
    • v.10 no.11
    • /
    • pp.55-60
    • /
    • 2012
  • Purpose - This study aims to suggest policy directions for small retail markets in Korea by statistical analysis, which would help small retailers who are facing various difficulties. Research design, data, methodology - This study diagnoses the problems faced by small retail industries in Korea based on government statistics. In addition, this study identifies three areas for successful collaboration between the SSMs and traditional markets-information distribution, products, and fair trade. Results - This study makes three recommendations-information distribution, products, and fair trade. This includes activation of the existing mutual collaboration efforts, channels, CSR report writing and publicity, ethical management cooperation seminars, contract systems of no return, establishment of staff outsourcing standards, and support for suppliers' organizations. Conclusions - Our suggestions for a collaborative system (based on the three suggestions) show that collaboration rather than confrontation between large and small markets can lead to a sales increase of 2,258.2 billion Won, which is equivalent to the sales loss in 11 traditional markets in one year in Busan.

  • PDF

Collaboration Framework based on Social Semantic Web for Cloud Systems (클라우드 시스템에서 소셜 시멘틱 웹 기반 협력 프레임 워크)

  • Mateo, Romeo Mark A.;Yang, Hyun-Ho;Lee, Jae-Wan
    • Journal of Internet Computing and Services
    • /
    • v.13 no.1
    • /
    • pp.65-74
    • /
    • 2012
  • Cloud services are used for improving business. Moreover, customer relationship management(CRM) approaches use social networking as tools to enhance services to customers. However, most cloud systems do not support the semantic structures, and because of this, vital information from social network sites is still hard to process and use for business strategy. This paper proposes a collaboration framework based on social semantic web for cloud system. The proposed framework consists of components to support social semantic web to provide an efficient collaboration system for cloud consumers and service providers. The knowledge acquisition module extracts rules from data gathered by social agents and these rules are used for collaboration and business strategy. This paper showed the implementations of processing of social network site data in the proposed semantic model and pattern extraction which was used for the virtual grouping of cloud service providers for efficient collaboration.

Design and Implementation of Collaboration Session-Centric Synchronous Distance Learning System (협업 세션 중심의 동기식 원격교육 시스템의 설계 및 구현)

  • Cho, Sung-Goog;Lee, Jang-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.15 no.1
    • /
    • pp.209-219
    • /
    • 2011
  • Most of the computer-based distance learning systems are asynchronous ones that allow students to download from the server the lecture previously given by a lecturer. While these asynchronous systems has the advantage that enable students to view the lecture with no time restriction, the study may not be effective due to the lack of support for real-time interaction between students and lecturers. Based on the student-lecturer-collaboration session model, this paper presents a collaboration session-centric synchronous distance learning system that supports real-time interaction between students and teachers, awareness information during lecture, and feedback from students. Basic feature of the proposed system include audio and video conferencing, text-based chat, and shared slide with annotation support.

An Empirical Study on the Determinants of Supply Chain Management Systems Success from Vendor's Perspective (참여자관점에서 공급사슬관리 시스템의 성공에 영향을 미치는 요인에 관한 실증연구)

  • Kang, Sung-Bae;Moon, Tae-Soo;Chung, Yoon
    • Asia pacific journal of information systems
    • /
    • v.20 no.3
    • /
    • pp.139-166
    • /
    • 2010
  • The supply chain management (SCM) systems have emerged as strong managerial tools for manufacturing firms in enhancing competitive strength. Despite of large investments in the SCM systems, many companies are not fully realizing the promised benefits from the systems. A review of literature on adoption, implementation and success factor of IOS (inter-organization systems), EDI (electronic data interchange) systems, shows that this issue has been examined from multiple theoretic perspectives. And many researchers have attempted to identify the factors which influence the success of system implementation. However, the existing studies have two drawbacks in revealing the determinants of systems implementation success. First, previous researches raise questions as to the appropriateness of research subjects selected. Most SCM systems are operating in the form of private industrial networks, where the participants of the systems consist of two distinct groups: focus companies and vendors. The focus companies are the primary actors in developing and operating the systems, while vendors are passive participants which are connected to the system in order to supply raw materials and parts to the focus companies. Under the circumstance, there are three ways in selecting the research subjects; focus companies only, vendors only, or two parties grouped together. It is hard to find researches that use the focus companies exclusively as the subjects probably due to the insufficient sample size for statistic analysis. Most researches have been conducted using the data collected from both groups. We argue that the SCM success factors cannot be correctly indentified in this case. The focus companies and the vendors are in different positions in many areas regarding the system implementation: firm size, managerial resources, bargaining power, organizational maturity, and etc. There are no obvious reasons to believe that the success factors of the two groups are identical. Grouping the two groups also raises questions on measuring the system success. The benefits from utilizing the systems may not be commonly distributed to the two groups. One group's benefits might be realized at the expenses of the other group considering the situation where vendors participating in SCM systems are under continuous pressures from the focus companies with respect to prices, quality, and delivery time. Therefore, by combining the system outcomes of both groups we cannot measure the system benefits obtained by each group correctly. Second, the measures of system success adopted in the previous researches have shortcoming in measuring the SCM success. User satisfaction, system utilization, and user attitudes toward the systems are most commonly used success measures in the existing studies. These measures have been developed as proxy variables in the studies of decision support systems (DSS) where the contribution of the systems to the organization performance is very difficult to measure. Unlike the DSS, the SCM systems have more specific goals, such as cost saving, inventory reduction, quality improvement, rapid time, and higher customer service. We maintain that more specific measures can be developed instead of proxy variables in order to measure the system benefits correctly. The purpose of this study is to find the determinants of SCM systems success in the perspective of vendor companies. In developing the research model, we have focused on selecting the success factors appropriate for the vendors through reviewing past researches and on developing more accurate success measures. The variables can be classified into following: technological, organizational, and environmental factors on the basis of TOE (Technology-Organization-Environment) framework. The model consists of three independent variables (competition intensity, top management support, and information system maturity), one mediating variable (collaboration), one moderating variable (government support), and a dependent variable (system success). The systems success measures have been developed to reflect the operational benefits of the SCM systems; improvement in planning and analysis capabilities, faster throughput, cost reduction, task integration, and improved product and customer service. The model has been validated using the survey data collected from 122 vendors participating in the SCM systems in Korea. To test for mediation, one should estimate the hierarchical regression analysis on the collaboration. And moderating effect analysis should estimate the moderated multiple regression, examines the effect of the government support. The result shows that information system maturity and top management support are the most important determinants of SCM system success. Supply chain technologies that standardize data formats and enhance information sharing may be adopted by supply chain leader organization because of the influence of focal company in the private industrial networks in order to streamline transactions and improve inter-organization communication. Specially, the need to develop and sustain an information system maturity will provide the focus and purpose to successfully overcome information system obstacles and resistance to innovation diffusion within the supply chain network organization. The support of top management will help focus efforts toward the realization of inter-organizational benefits and lend credibility to functional managers responsible for its implementation. The active involvement, vision, and direction of high level executives provide the impetus needed to sustain the implementation of SCM. The quality of collaboration relationships also is positively related to outcome variable. Collaboration variable is found to have a mediation effect between on influencing factors and implementation success. Higher levels of inter-organizational collaboration behaviors such as shared planning and flexibility in coordinating activities were found to be strongly linked to the vendors trust in the supply chain network. Government support moderates the effect of the IS maturity, competitive intensity, top management support on collaboration and implementation success of SCM. In general, the vendor companies face substantially greater risks in SCM implementation than the larger companies do because of severe constraints on financial and human resources and limited education on SCM systems. Besides resources, Vendors generally lack computer experience and do not have sufficient internal SCM expertise. For these reasons, government supports may establish requirements for firms doing business with the government or provide incentives to adopt, implementation SCM or practices. Government support provides significant improvements in implementation success of SCM when IS maturity, competitive intensity, top management support and collaboration are low. The environmental characteristic of competition intensity has no direct effect on vendor perspective of SCM system success. But, vendors facing above average competition intensity will have a greater need for changing technology. This suggests that companies trying to implement SCM systems should set up compatible supply chain networks and a high-quality collaboration relationship for implementation and performance.

A Study on Critical Success Factors for Enterprise Security Collaboration (전사적 보안협업을 위한 핵심성공요인에 관한 연구)

  • Do, Jung-Min;Kim, Jungduk
    • Journal of Digital Convergence
    • /
    • v.12 no.10
    • /
    • pp.235-242
    • /
    • 2014
  • Although the requirement of enterprise security implementation has been raised, a few research on security collaboration, which is one of the methods for enterprise security has been performed. This paper approached information security from the collaboration-centric perspective and propose critical success factors for security collaboration. In this study, a model of security collaboration, which includes coordination and cooperation activities was devised. Based on the previous research on organizational collaboration literature, the eight success factors for collaboration were deduced and examined the significance of the eight factors using the PLS-SEM statistical method with data of 106 samples who are security and IT professionals who have worked for more than 7 years. The result of the hypothesis test supported that trust, expertise motivation, collaboration performance criteria, top manager support and collaboration tools are the prominent factors of security collaboration.

A Design and Implementation of Ontology for Service Interoperability in Collaboration (협업에서 서비스 상호운용을 위한 온톨로지 설계 및 구현)

  • Hwang, Chi-Gon;Shin, Hyo-Young;Jung, Kye-Dong;Choi, Young-Keun
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.16 no.12
    • /
    • pp.2777-2784
    • /
    • 2012
  • To support complex business environment. the enterprise information system requires prompt and flexible response to altered conditions. The development of collaboration among information systems in accordance with changes in enterprises' business environment brings about the problems of duplication of the existing business services and increase in costs of maintenance. In order to supplement and resolve such problems, researches on ontology are under way. Ontology can support the semantic interoperability of Web service by describing the resources of particular business domains and the relationships among them. This thesis suggests ontology that supports interoperability among services. The constructed ontology is designed into the service area, the meta area, and the instance area, which can support the collaboration efficiently by providing the link between the interactivity among businesses and the data. The register and call of constructed ontology are carried out with the interaction of the three areas, that is, the service area, the instance area and the meta area that supports the common elements. The efficiency of the proposed ontology is evaluated by comparing with an existing Web service ontology.

A Case Study on the Development of Epidemiological Investigation Support System through Inter-ministerial Collaboration (정부 부처간 협업을 통한 온라인 역학조사 지원시스템 개발 사례 연구)

  • Kim, Su Jung;Kim, Jae Ho;Eum, Gyu Ri;Kim, Tae Hyung
    • The Journal of Information Systems
    • /
    • v.29 no.4
    • /
    • pp.123-135
    • /
    • 2020
  • Purpose The purpose of this study is to investigate the development process and the effectiveness of the EISS (epidemiological investigation support system), which prevents the spread of infectious diseases like a novel corona virus disease, COVID-19. Design/methodology/approach This study identified the existing epidemiological support system for MERS through prior research and studied the case of the development of a newly developed epidemiological support system based on cloud computing infrastructure for COVID-19 through inter-ministerial collaboration in 2020. Findings The outbreak of COVID-19 drove the Korean Government began the development of the EISS with private companies. This system played a significant role in flattening the spread of infection during several waves in which the number of confirmed cases increased rapidly in Korea, However, we need to be careful in handling confirmed patients' private data affecting their privacy.

A Study on Human-AI Collaboration Process to Support Evidence-Based National Innovation Monitoring: Case Study on Ministry of Oceans and Fisheries (Human-AI 협력 프로세스 기반의 증거기반 국가혁신 모니터링 연구: 해양수산부 사례)

  • Jung Sun Lim;Seoung Hun Bae;Kil-Ho Ryu;Sang-Gook Kim
    • Journal of Korean Society of Industrial and Systems Engineering
    • /
    • v.46 no.2
    • /
    • pp.22-31
    • /
    • 2023
  • Governments around the world are enacting laws mandating explainable traceability when using AI(Artificial Intelligence) to solve real-world problems. HAI(Human-Centric Artificial Intelligence) is an approach that induces human decision-making through Human-AI collaboration. This research presents a case study that implements the Human-AI collaboration to achieve explainable traceability in governmental data analysis. The Human-AI collaboration explored in this study performs AI inferences for generating labels, followed by AI interpretation to make results more explainable and traceable. The study utilized an example dataset from the Ministry of Oceans and Fisheries to reproduce the Human-AI collaboration process used in actual policy-making, in which the Ministry of Science and ICT utilized R&D PIE(R&D Platform for Investment and Evaluation) to build a government investment portfolio.

Study on the Impact of Collaboration on Business Performance in the Public Sector (공공부문에서의 협업이 업무성과에 미치는 영향에 대한 연구)

  • Lee, Hyang-Soo;Lee, Seong-Hoon
    • Journal of Digital Convergence
    • /
    • v.14 no.3
    • /
    • pp.35-43
    • /
    • 2016
  • Internal and external environment changes surrounding our society are pressing our government to solve a lot of difficult problems. These problems are more likely to be solved by a number of ministries and agencies, rather than a single ministry or agency. Thus collaboration is a necessary strategy to increase government's problem-solving skills. This study examines determinants of successful collaboration by analysing cases of local governments that solved uneasy problems covering many ministries after persistent efforts which have been controversial issues in our society. First, theoretical approach for collaboration and its matrix is examined. Second, interviews of government officers are analyzed to study collaboration cases. Finally, Strategic points of view are discussed to promote collaboration within government sectors. The results show that common goal sharing, incentives and supporting systems play important roles in inducing collaboration.

A Design of the Active Web Server Supporting Synchronous Collaboration in the Web-Based Group Collaboration Systems (웹 기반 그룹 협동 시스템에서 동기화된 협동을 지원하기 위한 능동형 웹 서버 설계)

  • 허순영;배경일
    • Proceedings of the Korea Database Society Conference
    • /
    • 1999.06a
    • /
    • pp.95-102
    • /
    • 1999
  • The web-based group collaborative systems are emerging as enterprise-wide information systems. Since data in group collaborative systems are apt to be shared among multiple concurrent users and modified simutaneously by them, the web-based group collaborative systems must support synchronous collaboration in order to provide users with synchronized and consistent views of shared data. This Paper proposes an active web server which can facilitate synchronous collaboration in web-based group collaborative systems. To accomplish such a goal, the active web server manages dependency relationships between shared data and web browsers referencing them and actively propagates changing details of the shared data to all web browsers referencing them. And, this paper examines usefullness and effectiveness of the active web server to apply it to the ball-bearing design example of concurrent engineering design systems. The prototype system of the active web server is developed on a commercial Object-oriented Database Management System (ODBMS) called OBJECTSTORE using the C++ programming language.

  • PDF