• The Journal of Information Systems
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• v.28 no.4
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• pp.49-64
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• 2019

Purpose The purpose of this paper is to observe the relative priorities of importances among IT services for Smart tourism as well as the relative priorities of importances among ways for developing the IT Services. Design/methodology/approach AHP analysis model was designed with 3 layers in order to recognize the relative importances priorities of IT services and the ways developing the IT services in Smart tourism. The factors in the top layer consist of Pre-trip IT services, During-trip IT services and Post-trip IT services. The lower factors in second layer of the Pre-trip IT services consists of Tourism information search, Online reservation and Price comparison. The lower factors of the During-trip IT services consists of Context recognition, Virtual Reality and Drone Application. The lower factors of the Post-trip IT services consists of Interactive Sharing and Tagging. The factor of third layer, the ways of developing the IT services consist of Company leading, University leading and Industry-University Collaboration. The structural questionnaire based on the AHP analysis model was designed and used to survey experts in IT and tourism areas. The collected data by the question investigation was analyzed by AHP analysis technique. Findings The importance priority of During-trip IT service was highest among in the three type IT services of tourism life cycle. The importance priority of Price comparison service was highest among IT services for Pre-trip. The importance priority of the Context recognition service was highest among IT services for During-trip. The Interactive sharing service was highest among IT services for Post-trip. It would be confirmed for the IT service development ways of Company leading to be suitable for most of the It services, such as Tourism information search, Online reservation, Price comparison, Context recognition, Virtual reality, Drone application, Interactive sharing.

• Proceedings of the Korean Society for Quality Management Conference
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• 2004.04a
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• pp.76-81
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• 2004

Kano distinguishes between three types of quality requirement which influence customer satisfaction in different ways when met in his model and proposes fulfilling attractive requirements leads to more than proportional satisfaction. However each of attractive requirements do not influence customer satisfaction equally Thus, this study will present a model using AHP(Analysis Hierarchy Process) which priorities over quality requirements objectively

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.353-357
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• 2008

The building construction projects include a variety of risk factors due to uncertainties. To succeed in the projects, it is important how risks are managed. Risk management processes identification, analysis and response. Especially, the analysis process is important to objectively identify importance and priority among risk factors. The purpose of this study is to develop the effective analysis process by studying and supplement the problem of the AHP analysis method. The study provides a analysis process to use the PROMETHEE analysis method proposed.

• Journal of Technology Innovation
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• v.13 no.1
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• pp.25-54
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• 2005

In this study, priority setting model of new promising IT industries which will be the growth engines for the Korean IT industry, was established. Based on the AHP model, priority setting of IT new promising IT industries was conducted. Firstly, the selection cases of the new promising IT industries and major priority setting methodologies including the AHP methodology, were analyzed. The AHP model was selected as the most feasible methodology for priority setting of the new IT industries, among the various priority setting methodologies. Secondly, in setting up the AHP model for prioritization of the new promising If industries, a 'goal' was established to be priority setting of the new promising IT industries, and an 'alternatives' to be 18 new promising IT industries. Then a logical and a systematic assessment criteria including 5 main criteria('Technological Innovation', 'Market Ability', 'SPin-off Effect', 'Public Benefit', 'Strategic Importance') and 14 sub-criteria, were developed for priority setting of the 18 new promising industries. Finally, with the AHP model, the substantial analysis was made to set up priority of the 18 new promising IT industries. The substantial analysis showed the following priority setting results and implications for the 18 new promising IT industries.

• Journal of Agricultural Extension & Community Development
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• v.19 no.1
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• pp.129-145
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• 2012

There are many positioning studies utilizing Analytic Hierarchy Process (AHP) in tourism industry. In this study, it was tried to develop new evaluation criteria for positioning and to discuss the importance of evaluation factors, as the development of tourist's spots was pursued in diversified ways. The purpose of this study was to allow the development of tourist spots more objectively and more efficiently utilizing Analytic Hierarchy Process ("AHP" hereunder) to appoint the best place for the tourism complex in Buyeo. According to AHP analysis procedures, 5 places near Baikje Cultural Block connecting with a ferry in Buyeo-gun were selected as candidates. To perform AHP analysis, evaluation criteria and a survey were used and then weight of evaluation criteria was induced. With the conditions on criteria, standard score of each criterion and candidate was calculated. By multiplying standard score and final weight and then summing up, the candidate place with the highest score shall be appointed as the most optimal place for Buyeo-gun Agricultural Tourism Complex.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.3
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• pp.51-63
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• 2014

Because of the changing educational environments, Korean universities have to stand up to the challenge of enhancing their performances in educational activities. Therefore, Korean universities should seek ways to improve its competitiveness. The evaluation of Korean universities has been conducted by the Government and other media agencies like JoongAng's Daily to promote the development of universities. The purpose of this study is to evaluate and compare the relative efficiency of Korean universities using DEA (Data Envelopment Analysis) and AHP (Analytic Hierarchy Process) models. To produce reasonable results, major input and output variables have been determined in a step using a Profiling method, Spearman correlation analysis and AHP model. Also, this study shows that the relative efficiency for Korean universities is obtained not only based on quantity of output, but also on the basis of the quality of the output. Drawing upon the results of the analysis, this study provides a comprehensive and practical method for evaluating the performance of universities in terms of efficiency.

• Journal of Korean Society of Rural Planning
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• v.25 no.2
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• pp.35-45
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• 2019

This study revises current feasibility evaluation guideline for agricultural infrastructure improvement project considering recent changes in social and economic environment in rural area. We use an AHP(Analytic Hierarchy Process) approach to consider qualitative evaluation items in policy enforcement and balanced regional development as well as quantitative items in current economic analysis in the process of feasibility evaluation and decision making. The criteria system is composed of three level hierarchy. In the first level which consists of economic analysis, policy analysis, and regional development analysis, economic analysis was ranked top with relative weight of 0.45 and regional development analysis the lowest with 0.22. In the second level which consists of three evaluation items under policy analysis, consistency in policy enforcement, risk factors, and special evaluation factors, consistency in policy enforcement was ranked top. Finally, 13 detailed evaluation items in the third level were surveyed and ranked by using a comprehensive criticality vector. The result shows that the three most important evaluation items are 'degree of underdevelopment', 'spill-over effect of regional economy' and 'consistency with related planning and policy direction'.

• The Journal of Information Systems
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• v.24 no.4
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• pp.61-81
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• 2015

Purpose Seoul Digital Industrial Complex has remarkably grown both quantitatively and qualitatively in short period of time since it started restructuring project in 1997. It's also not few that there were various challenges and difficulties in this industrial complex due to fast growth in short-term, such as the deficient amenities, noncooperation among the related organizations. Now, it's time to overcome these challenges and difficulties to establish new strategy for the sustainable growth and development of this Industrial Complex. Methodology There are some previous researches but almost none of them considered the priority order of the development strategy having reflected the needs of industrial complex in point of customer. In this regard, this study suggests the development strategy of Seoul Digital Industrial Complex by supplementing the limits of proceeding researches and using the combined SWOT/AHP analysis theory. Findings Based on the final analysis result of survey by combined SWOT/AHP method, this study suggests the priority order of 4 development strategies for Seoul Digital Industrial Complex, such as SO strategy, ST strategy, WO strategy and WT strategy.

• Knowledge Management Research
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• v.13 no.5
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• pp.43-64
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• 2012

Emerging technologies have significant implications in establishing competitive advantages and are characterized by continuous rapid development. Efficient benchmarking is more and more important in the development of emerging technologies. Similar input level and importance are two necessary criteria need to be considered for emerging technology's benchmarking. In this study, we proposed a sequential use of self-organizing map(SOM), data envelopment analysis(DEA) and analytical hierarchy process(AHP) method for the stepwise benchmarking of emerging technology. The proposed method uses two-level SOM to cluster the emerging technologies with similar required input levels together, then, in each cluster, uses DEA-BCC model to evaluate the efficiencies of the emerging technologies and do tier analysis to form tiers. On each tier, AHP rating method is used to calculate each emerging technology's importance priority. The optimal benchmarking path of each cluster is established by connecting the emerging technologies with the highest importance priority. In order to validate the proposed method, we apply it to a case of biotechnology. The result shows the proposed method can overcome difficulties in benchmarking, select suitable benchmarking targets and make the benchmarking process more efficient and reasonable.

• Journal of Korea Port Economic Association
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• v.32 no.4
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• pp.73-87
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• 2016

The purpose of this study is to investigate the empirical results of Analytic Hierarchy Process/Data Envelopment Analysis-Assurance Region(AHP/DEA-AR) by using multiple regression analysis during the period of 2009-2012 with 5 inputs (number of gantry cranes, number of berth, berth length, terminal yard, and mean depth) and 2 outputs (container TEU, and number of direct calling shipping companies). Assurance Region(AR) is the most important tool to measure the efficiency of seaports, because individual seaports are characterized in terms of inputs and outputs. Traditional AHP and multiple regression analysis techniques have been used for measuring the AR. However, few previous studies exist in the field of seaport efficiency measurement. The main empirical results of this study are as follows. First, the efficiency ranking comparison between the two models (AHP/DEA-AR and multiple regression) using the Wilcoxon signed-rank test and Mann-Whitney signed-rank sum test were matched with the average level of 84.5 % and 96.3% respectively. When data for four years are used, the ratios of the significant probability are decreased to 61.4% and 92.5%. The policy implication of this study is that the policy planners of Korean port should introduce AHP/DEA-AR and multiple regression analysis when they measure the seaport efficiency and consider the port investment for enhancing the efficiency of inputs and outputs. The next study will deal with the subjects introducing the Fuzzy method, non-radial DEA, and the mixed analysis between AHP/DEA-AR and multiple regression analysis.