• Asia pacific journal of information systems
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• v.20 no.3
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• pp.139-166
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• 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.

• Journal of Technology Innovation
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• v.11 no.2
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• pp.91-121
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• 2003

The rapid development and diversification of technology require that firms should adjust and cope with a high degree of uncertainty regarding independent efforts in technology development. An alternative to these strategic responses is the R&D or technological collaborations among firms. There have been many researches on the reasons for and effects of these collaborative relationships; however, research examining the risks involved in the process of collaboration is lacking. The researches into essential prerequisites for successful technological collaborations have remained more or less premature despite of the increasing demand for interfirm R&D collaborations. In other words, the existing literature has mainly focused on the choice of collaborations, but has paid little attention to the processes of collaborations. This study tries to identify and integrate both success and risk factors affecting the decision making of whether collaborations are attempted or not and R&D collaboration processes. Finally, a model of interfirm collaborations is suggested and also practical implications for the firms which consider R&D collaboration with other firms are provided.

• Journal of Contemporary Eastern Asia
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• v.15 no.1
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• pp.98-110
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• 2016

Building resilient community is often a complicated process to be gained by interorganizational collaboration. Since patterns of interorganizational relations among governments and sectors are constantly changing due to internal and external factors in the field of emergency management, understanding the dynamic nature of interorganizational collaboration is a critical step for improving a community’s ability to bounce back from a catastrophic event. From two theoretical perspectives, this research aims to examine the essential role of working across levels of governments and sectors in building resilient community by focusing on sources of community resiliency and a strong commitment. The empirical evidence highlights the importance of studying resilience as a way to understand the motivation and incentive for organizations to work jointly during emergency response. The study of organizational resilience also draws attention for the importance of various forms of interorganizational collaboration such as formal and informal relations. It also highlights how local organizations can utilize their relations to seek resources without necessarily jeopardizing their ability to perform their core organizational functions.

• The Journal of Information Systems
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• v.17 no.3
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• pp.135-152
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• 2008

Basically within a special regional area, a regional cluster seems to be based on core competencies of individual intra-cluster companies and collaboration among them. Information infrastructure has been emphasized as on one of competitive factors of a regional cluster, and it can be organized using collaboration system architecture integrated with each company's internal systems for efficient supply chain operation. As one of technical methods to prepare the system infrastructure supporting the collaboration of companies in a regional cluster, the Web Services can be effectively used. In this paper, a collaborative information system infrastructure for a regional cluster is suggested within the scope of supply chain management. And the efficiency of the proposed alternative is appraised with the features of a regional cluster.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.889-891
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• 2009

The utilization of robot application is growing up in recent years, but there is a constraint to execute various application on the robot because of difference of robot resource. This paper presents the framework in order to solve the resource constraint by sharing resources with other devices near by robot. The framework defines common factors that are needed to collaboration work. Furthermore, We show the working flow of framework with an example consisted of robot and some devices in same network.

• Journal of Information Technology Services
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• v.14 no.2
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• pp.253-273
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• 2015

Cloud computing is provided on demand service via the internet, allowing users to pay for the service they actually use. Categorized as one kind of cloud computing, SaaS is computing resource and software sharing model with can be accessed via the internet. Based on virtualization technology, SaaS is expected to improve the efficiency and quality of the IT service level and performance in company. Therefore this research limited cloud services to SaaS especially focused on collaborative application service, and attempts to identify the factors which impact the performance of collaboration and intention to use. This study adopts technological factors of cloud SaaS services and factors of task characteristics to explore the determinants of collaborative performance and intention to use. An experimental study using student subjects with Google Apps provided empirical validation for our proposed model. Based on 337 data collected from respondents, the major findings are following. First, the characteristics of cloud computing services such as collaboration support, service reliability, and ease of use have positive effects on perceived usefulness of collaborative application while accessability, service reliability, and ease to use have positive effects on intention to use. Second, task interdependence has a positive effects on collaborative performance while task ambiguity factor has not. Third, perceived usefulness of collaborative application have positive effects on intention to use.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.2
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• pp.13-20
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• 2009

The purpose of this paper is to give information on e-CPC implementation in the manufacturing industry by studying and analyzing a small and medium sized manufacturing company. After analyzing Various factors on J's e-CPC implementation such as environmental factors, process management factor, and result factors, success factors on J's e-CPC implementation are analyzed. The results of this paper can be summarized as follows. First, the most leading role on J's ERP implementation is the will and support of CEO and team leaders. They led the implementation to be stability successfully by settling the different opinions among teams, showing their ability on process decision and communication with consultants. Second, J tried to prompt system stability by mapping out and conducting the long term change management strategy. Third, J organized ERP project team to implement ERP quickly, and it turned out to be successful Finally, J tried to get outside information from consultants and collaborative companies that have experience in implementing ERP. Especially J made full use of overseas consultants. In respect that this paper giver lots of information on e-CPC implementation in manufacturing industry by a case study of a small and medium sized manufacturing company which has not been carried out so far, it would be useful enough.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.483-491
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• 2019

The aim of this study is to shed light on factors that influence securing of university research grants. For this purpose, this study emphasizes the role of management capability of industry-university cooperation foundation in securing research grants. We analyze whether the potential capabilities influence research grants using panel data from 194 universities during 2016 to 2018. The results obtained from the Driscoll & Kraay standard errors (DKSE) indicate that a number of variables including the portion of industry-university collaboration professors, academic performance of professors, and the number of paid researchers are positively associated with the amount of external research grant approved. However, the percentage of employees employed for less than two years is negatively related with securing external research grants. Once the dependent variable is measured by the total university research grants, the negative coefficient of employees with short-term career disappears. Instead, the percentage of employees who are in charge of research planning and management and the total number of employees involved in industry-university collaboration foundations are negatively related with the total university research grant amounts.

• Journal of Digital Convergence
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• v.9 no.1
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• pp.71-87
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• 2011

Currently, many companies are interested in (Radio Frequency Identification (RFID). Nonetheless, technical imperfection and the uncertainty of Return on Investment (ROD is discouraging the companies' intention to implement RFID. Accordingly, while a number of companies concede the efficiency of RFID, few of them expresses enthusiasm, making a rain check to adopt RFID. Moreover, the recent economic depression has down-sized the companies' investment on Information Technology (IT), subsequently hindering RFID implementation. In adopting RFID, the collaboration of supply chain is the most importance factor. Therefore, in implementing RFID, many companies reinforced collaboration of supply chain. Therefore, this study will focus on performing an analysis on several factors which influence the intention to adoption of RFID, such as the human factor, technology factor, vender factor and task factor. The results of this study will provide useful guidelines for RFID adoption strategy to Korean companies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.7
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• pp.2921-2929
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• 2012

This study aims to empirically analyze the structural effects of partnership characteristics between buyers and suppliers on the performance in supply chains. To this end, an in-depth literature review was performed in advance and four partnership characteristics involving information sharing, participativeness, interdependence, solidarity were identified, and a research model was validated by incorporating collaboration, trust, satisfaction. To analyze data collected from 124 companies, structural equation modeling was employed to test hypotheses proposed in this study and the findings are shown as follow. First, the partnership between buyers and suppliers was confirmed to have a positive effect on collaboration, trust and satisfaction. Second, both of trust and satisfaction were found to positively influence collaboration. Third, our findings also validated that collaboration and trust between buyers and suppliers had significant influences on supply chain performance, however, we found no evidence of a statistically significant relationship between satisfaction and performance. Based on these findings, discussions on the implications of this study and suggestions for further research were given finally.