• Korean Management Science Review
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• v.23 no.1
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• pp.1-19
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• 2006

This study investigates the critical success factors for the promotion of IT industry in region and suggests some directions for operations strategy of them. This study based on the critical success factors, and we suggest followings : (1) start-ups support, (2) technology support, (3) management support, (4) law/institutional support. We suggested the strategy which based on critical success factors for successful operations of IT industry. This strategy suggested by AHP(Analytic Hierarchy Process) results and was evaluated by the three groups(IT firms, local government official worker, professor) which have an influence on IT policy. We suggested the priority of policy by AHP technique for successful development of IT industry. As a results, centralization of supporting facilities was perceived as the most important policy by three groups(IT firms, local government official worker, professor). This research contributes to assist planners and policy-makers in supporting IT industry by providing useful information about the suggested strategy, and by suggesting the effective means to assist the IT industry. Also, results of our research will be suggested as a priority of developing policy to assist successful IT industry.

• Journal of Internet Computing and Services
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• v.12 no.3
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• pp.139-149
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• 2011

The Korean government have made and implemented various energy policies for solving environmental and energy problems in the energy industry in general and in the areas of "Energy-IT convergence" in particular. It is important for the government to choose and focus the future industries and promotion fields of Energy-IT convergence, because the Energy-IT convergence leads to newfangled services and products with diverse direct, indirect and induced effects and sometimes it needs to different regulation and policy issues. Unfortunately, until recently, there are very few researches regarding these complications. This study has derived critical priority factors for analyzing and evaluating the future industry of Energy-IT convergence. Using these elements and the ANP(Analytic Network Process) method, we have investigated the opinions of experts in the energy and IT industry. The process and results in this paper can be a good guideline for academic as well as industrial developments.

• Journal of Construction Engineering and Project Management
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• v.7 no.4
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• pp.1-12
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• 2017

India has accorded a high priority to road infrastructure development through Public-Private Partnership (PPP) and it has set a high target for investment inflows. Yet, it is widely held that road/highway infrastructure has not been developing at required pace and that the road infrastructure projects under PPP have been suffering from several hurdles and delays, thereby affecting project success/failure. This paper is an attempt to analyze the critical success/failure factors of road infrastructure projects under PPP in India. A questionnaire survey was conducted among a sample of the stakeholders of road infrastructure projects to identify the critical success/failure factors during all four major project stages using different approaches. Initially, the critical factors were identified through ranking based on the average/mean score. Later, the conventional RII score was used to identify the critical success/failure factors. Finally, the critical success/failure factors were also identified based on the stakeholder-wise ranking of the factors and their convergence. The assessment revealed that there was a greater convergence across the different methods and also that there was greater consensus among project stakeholder on the critical success/failure factors of road PPP projects.

• Journal of Information Technology Applications and Management
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• v.27 no.6
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• pp.101-116
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• 2020

This study attempts to derive critical success factors and prioritize activities for implementing the automation of software test. Software testing proceeds in five steps of test plan, test case design, test scripting & test environment setup, test execution & evaluation, and test closure. From the literature, twenty influence factors in the five steps were identified. Focus Group Interviews with ten experts in software testing selected fourteen factors on the basis of importance and feasibility. Some factors were further divided to clarify their meanings and the number of influence factors finally became twenty one. A survey on the influence factors was conducted with 75 IT professionals. An importance-feasibility analysis was applied to the survey responses and classified the influence factors into four groups of essential factors, critical factors, low priority factors, and minimal factors. Essential factors include objectives for test automation, strategies for test automation, test automation training, test automation education, setting up test automation environment, setting up test environment, test automation tool selection. Critical factors include management's continued support, management's continued interest, role of automation engineers, and skills of automation engineers. This result suggests that a lot of efforts should be put into SW test plan for the successful SW test automation and SW automation should proceed in consideration with the priorities and resource consumption.

• Proceedings of the KSRS Conference
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• 1998.09a
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• pp.387-392
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• 1998

To establish a monthly data collection planning for the Ocean Scanning Multispectral Imager (OSMI), we have examined the global patterns of three impacting factors: pigment concentration, cloud cover, and sun glint. Other than satellite mission constraints (e.g., duty cycle), these three factors are considered critical for the OSMI data collection. The Nimbus-7 Coastal Zone Color Scanner (CZCS) monthly mean products and the International Satellite Cloud Climatology Project (ISCCP) monthly mean products (C2) were used for the analysis of pigment concentration and cloud cover distributions, respectively. And the monthly simulated patterns of sun glint were produced by performing the OSMI orbit prediction and the calculation of sun glint radiances at the top-of-atmosphere (TOA). Using monthly statistics (mean and/or standard deviation) of each factor in the above for a given 10$^{\circ}$ latitude by 10$^{\circ}$ longitude grid, we generated the priority map for each month. The priority maps of three factors for each month were subsequently superimposed to visualize the impact of three factors in all. The initial results illustrated that a large part of oceans in the summer hemisphere was classified into the low priority regions because of seasonal changes of clouds and sun illumination. Sensitivity tests were performed to see how cloud cover and sun glint affect the priority determined by pigment concentration distributions, and consequently to minimize their seasonal effects upon the data collection planning.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.4
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• pp.42-53
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• 2014

This study identifies influential factors for invigorating the public management office (PMO) system for system integration (SI) projects in public sectors and analyzes the priority of each factor from the point of different stakeholders, i.e., owners, SI company, and PMO. Based on the literature review, four first-level influential factors are identified: legal system maintenance, owner's capability, SI company's capability, and PMO's capability. Among them, the PMO's capability is determined as the most critical factor by all the stakeholders. Among the second-level influential factors, the capabilities of professional engineers and project managers are considered as important among the PMO's capability, whereas the reasonable consulting fee is considered as the most critical factor among the legal system maintenance. With respect to each stakeholder, project management capability is considered as the most important factor for owners, while the reasonable consulting fee is considered as the most important factor for PMO.

• Journal of Digital Convergence
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• v.19 no.9
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• pp.75-81
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• 2021

The purpose of this research is to derive and evaluate priorities for critical factors that must be determined before an enterprise adopts a cloud computing service. AHP analysis techniques were used to reflect decisions made by experts as research methods. AHP is a decision-making technique that expresses complex decision-making problems hierarchically and derives the best alternatives through pairwise comparison between the items of the hierarchy. Compared to the existing statistical decision making techniques, the decision making process is systematic and simple, making it easy to understand. In addition, the procedure is also reasonable by providing an indicator to determine the consistency of the decision maker in the analysis process. The analysis results of this research showed that security was the first priority, reliability was the second priority, and economic efficiency was the third priority. Among the factors in the first-priority security items, the access control rights and the safety factors of external threats are the most important factors. Research results can be used as a guideline in future practice, and it is necessary to evaluate, compare and analyze the satisfaction of companies that have adopted cloud computing services in the future.

• Journal of the Korea Safety Management & Science
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• v.16 no.4
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• pp.71-80
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• 2014

This study is performed to determine the priorites of the evaluation factors for the improvement of fire emergency medical service by increasing it's efficiency to protect the people's lives effectively, and by recognizing it's mid-long term development. Based on the output of the analysis, the critical evaluation factors of the fire emergency medical services to be improved shall be identified, and shall be intended to use strategically for increasing the efficiency of all the activity in the EMT service, and also for providing the basic date to product and manage the good quality services. To calculate the priority of the evaluation factor for each level as shown on this study, AHP(anaysis hierarchy process) with pairwise comparison method is applied. According to the priority analysis for the evaluation factors in main category (evaluation zone), 'medical service professional aspect' is recognized as highest one, and 'service infrastructure aspect', 'service management aspect' are indicated in order. According to the priority analysis for the evaluation factors in evaluation index, 'professional personal arrangement' in the service infrastructure aspect, 'appropriateness and timeliness of emergency medical care' in the medical service professional aspect, and 'clinical training' in the service management aspect are respectively recognized as most important factors.

• Asia pacific journal of information systems
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• v.8 no.1
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• pp.27-42
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• 1998

In a competitive environment, selecting and effectively pursing the right information system investments can be a key factor in sustaining corporate viability and prosperity. This study applies quality function deployment(QFD) to the determination of information system development priority. The intent of QFD is to incorporate the needs of a customer through the various stages of product planning and manufacturing into a final product. The basic idea of our study is to translate the core competence and the competitive environment into the business strategy, and the critical success factors, and subsequently into information system development priority. Our method is applied to a motor company for the determination of the information system development priority. The company case is illustrated step by step with real data of the company and motor market.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.687-688
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• 2015

The objective of identifying the cause of inconsistency in determining priority of educational facility maintenance, any related factors were thoroughly identified and tested, to see if it has any effect on decision-making process in resource allocation for educational facilities. On the assumption that 'the more there are to be repaired/maintained and deferred, the higher the relevant cost will be, this will lead to a significant social loss. Accordingly, this study established a framework of determining resource allocation priority based on deferred maintenance and its related expenses. For doing so, it was required to determine relative ranking in terms of resource allocation within a pre-assigned school district, in consideration of the criticality of each deferred maintenance attribute/variable.