GCM(Green Chain Management) is being spread by that companies which apply with eco-friendly concept in entire SCM(Supply Chain Management) perspective is being increased for resolving some recent environmental problems. There are reasons that numerous companies focus on GCM. At first various governments began to directly manage components and material contents about various noxious substances. Second, environment problem management in the entire logistics process from procurement of product materials to distribution of product became to be important according to introduction of certification system that evaluate the environmental impact throughout life-cycle of products. Purposes of this paper are 1) to analyze the GCM process whose important is more increasing in the recent logistics environment change, 2) to comprehend places and sources that generate environmental elements like energy consumption and greenhouse gas emissions in elements of logistics function, and 3) to construct integrated GCM system for observing activity of logistics function throughout life-cycle of products.
SME is a major company to keep employment in Korea and highly depends on large company as vendor. R&D is critical to keep its position under the global competition. Government makes a policy to support SME R&D investement. We reviewed SMBA(Small and Medium Business Administration) policy for SME R&D and try to find alternatives. One of the alternatives is to increase a budget for large and SME co-development program.
This study suggests new approach to identify core technologies through patent analysis. Specially, the approach applied data mining technique and multi-criteria decision making method to the co-classification information of registered patents. First, technological interrelationship matrices of intensity, relatedness, and cross-impact perspectives are constructed with support, lift and confidence values calculated by conducting an association rule mining on the co-classification information of patent data. Second, the analytic network process is applied to the constructed technological interrelationship matrices in order to produce the importance values of technologies from each perspective. Finally, data envelopment analysis is employed to the derived importance values in order to identify priorities of technologies, putting three perspectives together. It is expected that suggested approach could help technology planners to formulate strategy and policy for technological innovation.
The purpose of this study is to examine the influence that factors for a successful venture have on business performance. To fulfill this goal, factors for a successful venture are presupposed as the four elements of business creator, technological innovation, type of strategy, and organization, while business performance is set as subordinate variable, with a view to creating a model and establishing a hypothesis for a positive analysis. Data collection for the positive analysis was conducted using a questionnaire, and as for sampling, of the companies located in Seoul and greater metropolitan region and registered with Small and Medium Business Administration as of late December 2012, 98 companies have been selected for the final data. And I have come up with the two following results. First, factors for venture success have all proven to exercise statistically significant influence on business performance. Second, of all factors for venture success, business creator and technological innovation exercise huge influence on business performance, as compared to the other factors. From these two conclusions, it is understood that to upgrade business performance of a venture, business creator and technological innovation should be given priority over the other factors.
In order to improve participation and quick decision-making in an emergency, the Voluntary Participation Program was recommended in this study for effective management of Civil Defense.
The problems in the Law and Administration group and Forced Education by Mobilization system were analyzed through actual conditions of Civil Defense management and participation. In order to improve these problems, cases such as “Extension of Participation Methods”, “Cooperation Activities with Civil Groups”, “Usage of Community Information” were studied. Based on the investigation results, domestic applicability was recommended.
The purpose of this research is to implement and develop the Economic Cost Driver Size(ECDS) extended model to determine the optimal cash driver size with measurement complexity cost and allocation fail cost. ECDS model can be used to seek both measurement accuracy and time efficiency of the Activity-Base Costing (ABC). The study also develops Activity Priority Number (APN) to evaluate the importance of nonvalue-added activities improvement and to determine the representative cost driver of value-added activities when applying ECDS model. APN consists of Severity Priority Number (SPN), Undetectablitiy Priority Number (UPN) and Occurrence Priority Number (OPN). APN can be obtained from lower-stream activity, current activity, upper-stream activity in terms of hierarchical dependency of SIPOC (Supplier, Input, Process, Output, and Customer). In order to seek both efficiency of invested capital and reduction of overhead cost, the paper proposes the integrated ABC and Economic Value Added (EVA) model using redesigned ABC-based statement of comprehensive income and EVA-based statement of financial position. For a better understanding of the proposed ABC-EVA integrated model, numerical examples are demonstrated in this paper. Cost drivers of ABC and capital drivers of EVA in the proposed model can be used to reduce activity overhead cost from ABC-based statement of comprehensive income and to lessen activity capital charge from EVA-based statement of financial position.