• Korean Journal of Construction Engineering and Management
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• v.23 no.3
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• pp.74-82
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• 2022

With the introduction of proptech, this study aims to find out the changes and necessity of introducing blockchain technology, one of the most popular technologies, in real estate electronic transactions. In addition, it is intended to develop evaluation indicators that classify newly created values within real estate electronic transactions and calculate the relative importance of each value area through technology application. To this end, the value that can be created when applying blockchain technology to real estate electronic transactions was classified according to the hierarchy, and considering that the evaluation criteria are complex and the importance can be measured differently depending on various factors, an analysis was conducted according to the AHP method for experts in practical and academic fields. As a result of the analysis, general value showed the highest importance in the first dimension, and digitalization of real estate information showed the highest importance in the second dimension.

• Journal of Korea Port Economic Association
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• v.38 no.4
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• pp.65-85
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• 2022

In this study, in order to derive the priority of indicators and sustainability areas of smart ports, which means ports in the digital era, previous studies and ESG, which have recently been indispensably introduced in all industries worldwide, were studied together. A hierarchical structure was established with upper evaluation items and 20 lower evaluation items in four areas (operational, environmental, social, and governance), and a relative evaluation method of weighting items among the AHP techniques was applied. The pairwise comparison questionnaire consisted of a 9-point scale proposed by Satty (1980). A survey was conducted targeting working-level workers who perform sustainability or ESG(Environmental, Social, Governance)-related work at four representative port authorities in Korea (Busan, Incheon, Ulsan, Yeosu Gwangyang). In order to increase the accuracy of the analysis results, AHP analysis was conducted on 17 questionnaires with a consistency ratio of 0.1 or less. As a result of the analysis, it was confirmed that among the four areas representing the sustainability of domestic smart ports, the operation area had the highest priority, followed by the environment area. In addition, looking at the overall priorities for the 20 detailed indicators, indicators such as operational efficiency, operational planning, energy management, and pollution measurement and management system were found to have high priority. On the other hand, it was confirmed that the social and the governance areas had relatively low importance compared to other areas.

• Journal of Digital Convergence
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• v.12 no.8
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• pp.49-60
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• 2014

The primary purpose of this paper is to find out what issues are important in the Social Security sector, and then, through AHP methodology, this study analyzes what kind of big data methodologies and projects can be implemented to solves these issues. To the aim, this paper first confirmed 8 big data projects from reviewing all issues in the Social Security sector such as administrative works and social policies. After the result of pairwise comparison, policy validity is most important factors rather then effectiveness and practicability. With regard to the priorities among sub-big data projects, the project about preventing improper recipients has come out the most important project in terms of validity, effectiveness and practicability. And the results showed that the project about outreaching and reducing a blind spot on the welfare sector is weighed as a significant project. The results of this paper, in particular 8 sub-big data projects, will be useful to anyone who is interested in using big data and its methodologies for the social welfare sector.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.99-112
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• 2014

This paper addresses an assessment model for selecting PL(Private Level) product companies. The proposed model extracts the weights of evaluation elements based on AHP(Analytic Hierarchy Process). These evaluation elements are from real-world instances in a domestic hyper market. Especially, the model points at food products which constitute a large portion of entire profits in the market. In this model, we first classify the 54 evaluation elements into 4 layers and secondly carry out a survey with relevant specialists based on them. We also estimate the weights of evaluation elements according to pairwise comparisons from the survey, and propose them as a quantitative alternative which can be applied in real-world problems. Finally, the pilot-study is conducted to compare the proposed model with the existing simple summation method. From this study, HACCP system assessment and Review(0.279281), Transportation(0.117706) and Fundamental law observance(0.066392) are presented as the key evaluation elements for selecting PL product companies. The proposed model facilitates the company selection among those candidate companies which is not easy to determine the superiority by reflecting the importance of evaluation elements.

• Culinary science and hospitality research
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• v.22 no.4
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• pp.288-301
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• 2016

This paper employed typology and stratification as key elements to estimate quality evaluation of vinegar drink through Delphi and AHP(analytical hierarchical process) method to contribute the market expansion of the vinegar drink as a health drink. Through literature research and brainstorming with professionals, the first round of Delphi method was conducted with the open-ended questions including five upper concepts, i.e. 'ingredients', 'production method', 'product characteristics', 'functions' and 'packaging design'. Original study had 50 lower concepts as a result of the first round and added 'marketing' as an additional upper concept. The second and third round of Delphi method have been conducted with closed-ended questions based on the 50 lower concepts resulted from the first round. To seek concordant objectivity among the answers from the survey, the study used Kendall's W coefficient of concordance. 11 items were removed while 16 items were removed at the third round leaving 23 items through second round of Delphi method. For the final round, this study utilized the Pairwise Comparison Method to figure out the relative importance of the 23 items for the prioritization. Finally, current study formulated the final items which should be considered as an important factor in the quality evaluation of vinegar drink.

• Management & Information Systems Review
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• v.29 no.1
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• pp.49-78
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• 2010

Traditionally, self-efficacy, burnout and engagement are defined as work related states of mind, and formally speaking, students are not employees. But, we assume that from a psychological perspective, student core activities can be considered work. Therefore, based on SCT(social cognitive theory), we examine the mediating role of self-efficacy in the prediction of student burnout and engagement, and also the mediation of burnout and engagement between self-efficacy and performance(GPA). There is no research to date wether there would be mediating role of these variables between past success and performance. These effects were analysed in the context of mediating role of the variables in a university in a sample of 438 students. This study utilized a convenience sample drawn from various major scholar area. Results of structural equation modeling analyses were consist with a full mediation model in which academic past success predicts self-efficacy, which in turn, predicts student burnout and engagement. Also our proposed model showed that burnout and engagement are partial or full mediating variables between self-efficacy and performance. Our study's findings provide evidence that engagement fully accounted for the relationship between self-efficacy and performance, and burnout partially explained the relationships. These findings aligns with the general theorizing supported by JD-R model and SCT(social cognitive theory). More specifically, it builds on the JD-R literature as it tests one of the proposed mechanisms in the relationship between job resources and work engagement. Implications of study are discussed, together with limitations and suggestions for future research.

• International Journal of Highway Engineering
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• v.7 no.4 s.26
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• pp.21-30
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• 2005

Traffic volume data have been used for the plan, the design, and the operation of highway. Since 1955, traffic survey has been nation- widely carried out at national highway and the regular survey in national highway has been conducted at the intersections of highways. However, it is critical issue to select the priority of the regular survey because it is almost impossible to conduct regular survey at all intersections of national highways. In this study, MCDM(Multiple Criteria Decision Making) using AHP(Analytic Hierarchy Process) was applied to decide the priority of the regular survey. The following standard variables for determining the priority was selected the highway plan variables[AADT, VKT, Peak Hourly Volume, Location of highway from Urban], the highway design variables[Volume(pcu), Directional Traffic Volume, Heavy Vehicle Rate], and the highway operation variables[Speed, Density, V/C]. The standard variables were quantified and normalized. Using the Eigen vector method, the weighted values of each hierarchy based on the pair-wise comparison values from the questionnaire survey were calculated. The selection of the priority of regular survey was dependent on the size of the product of the weighted values for each hierarchy and the normalized values for the standard variables. Finally, the priority of regular survey of the intersections of national highways was determined according to the order in the size of the product of two values.

• Journal of the Korea Society of Computer and Information
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• v.19 no.12
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• pp.299-307
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• 2014

Nowadays, SNS media has become one of the most common and economic communication methods in the modern word. With the rapid development of communication technology, a variety of SNS media makes easier for us to reach other people everywhere and people are getting more and more reliant on them. The surge in SNS media users and SNS media diversity gets more important every day, but academic research on SNS media evaluation program is scanty. In order to present an evaluation program on the SNS media, this study selected some applicable measurement factors based on reference research, and then evaluate major SNS medias by using AHP analysis method. With these purposes, Kakaotalk, Twitter and Facebook, are the three major SNS medias that were chosen for the analysis. Through collections and analysis of usability evaluation factors about SNS quality from related literature, some factors were concluded: system quality, information quality, interface quality and service quality, to build an AHP frame. And to achieve these purposes, this study applied comprehend mutual questionnaire survey for experts and users to gather research date. Empirical studies about the results were performed using AHP method with Microsoft Office Excel 2010. In this study, the final SNS media evaluation result is that Kakaotalk ranks first of the three SNS media, Facebook is in the second place, and Twitter as least. When SNS media are evaluated, system quality, information quality, interface quality and service quality should be considered. Among all factors, service quality is the most important.

• Information Systems Review
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• v.16 no.3
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• pp.1-23
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• 2014

This research uses the Analytical Hiararchy Process (AHP) to scientifically and systematically calculate the weightings of attributes as well as dimensions considered for assessing an informational website. The present paper aims at observing and using the computed weightings to comparatively examine the perceptions of customer users and business users. We use the 3C-D-T (i.e., Content, Community, Commerce, Design, and Technology) framework to conduct a case study where we review and assess restaurant websites and calculate attribute weightings on these websites. Data used for website review was collected in two phases. Data in the first phase was collected from customer users, and data in the second phase was from business users who had registered in the same websites. Users were instructed to perform a pairwise comparison of the relative importance of website attributes. Our data analysis revealed that the customer users and business users demonstrated different views on the relative importance of the individual attributes. Based on the findings, we suggested that business users of restaurants should adapt their views to the customers' views to minimize perceptional differences, thereby increasing customer satisfaction and accomplishing successful business outcomes.

• Informatization Policy
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• v.25 no.3
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• pp.29-51
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• 2018

As the core technology of the Fourth Industrial Revolution, the Internet of Things has been developed and has enabled various services, and personal information has been handled freely in the process. However, the infringement threat of personal information is increasing as more convenient services are provided and more information devices including smart devices are connected to the network. Therefore, this study is to analyze prioritizing personal information protection policy indicators in order to provide IoT services by constructing secure environment for implementing the Internet of things as the core technology of the 4th Industrial Revolution. This study reviewed personal information protection policy indicators based on the literature survey, and identified 3 fields, 9 areas, and 25 indicators through Delphi analysis for experts. The weights were calculated based on the AHP survey for 66 experts and the results were used to present the relative importance and priority of the policy indexes. The results of this study found the policy field was the most important, followed by the technical field, and the administrative field. Of the three areas of the policy field, strengthening the personal information protection laws related to IoT is the most important, while among the indicators, promoting and revising the personal information protection law related to IoT is the most important. Comparisons of the fields, areas, and indicators of IoT-related personal information protection policies found consistent values. The personal information protection policy indicators derived this way will contribute to the nation's competitiveness by expanding secure IoT policies in the future.