• Journal of the Korea Institute of Building Construction
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• v.10 no.4
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• pp.49-57
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• 2010

Selecting an appropriate formwork to fit the construction of a high-rise building is an important factor that can influence the success or failure of a construction. Currently, however, the reality is that in domestic high-rise building construction, the selection of an appropriate formwork with consideration of the characteristics of the formwork has not been done in a reasonable manner. To select formwork in a systematic and reasonable fashion, comprehensive consideration is required that must not only include the aspect of construction costs, but also air, quality, safety, and environmental issues. Therefore, this study aims to rationalize the selection process of formwork by applying the scientific method of Analytic Hierarchy Process (AHP) to the selection process of formwork, in terms of construction costs, quality and safety. To do this, the researcher investigated the current status of formwork being used in high-rise residential building construction. Then, based on the results of this investigation, the researcher selected an alternative for the formwork, and taking construction experts as the subjects of this study, conducted a survey on the applicability of the formwork as well as the priority of management thereof when selecting formwork. It is judged that the results of this research will contribute a more scientific and reasonable decision-making process than the existing non-scientific method in selecting formwork for high-rise residential building construction.

• Journal of Korean Society of Transportation
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• v.23 no.7 s.85
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• pp.87-98
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• 2005

Through rail transit has many merits as a safe, environmental harmonic and scheduled transit, there are many problems to construct railroads because of the public resentment. However, there is no reasonable way to settle the conflict properly and it causes enormous social and economic losses. This paper suggests a methodology to evaluate public complaint using the AHP technique, which is generally used as the methodology to evaluate public complaint using the AHP technique, which is generally used as the Multi-Criteria Decision Making (MCDM). However, the result from the AHP has some defects to control conflicts because the interests related to railroad projects are so complex that it is hard to make people persuaded easily. Therefore, this paper suggests 'the improvement ranking method', 'the sensitive analysis', and 'the assessment of independence relationship' which can aid the basic AHP to be robust. And the AHP. modified by fuzzy method, is also suggested to apply this methodology to example rail paths in Korea.

• Journal of Korean Society of Transportation
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• v.21 no.1
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• pp.103-113
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• 2003

This paper shows alternative route search and preference route search for the traffic route search, and proposes the use of the fuzzy non-additive controller by the application of AHP(analytic hierarchy process). It is different from classical route search and notices thinking method of human. Appraisal element, weight of route is extracted from basic of the opinion gathering for the driving expert and example of route model was used for the finding of practice utility. Model evaluation was performed attribute membership function making of estimate element, estimate value setting, weight define by the AHP, non additive presentation of weight according to $\lambda$-fuzzy measure and Choquet fuzzy integral. Finally, alternative route search was possible to real time traffic route search for the well variable traffic environment, and preference route search showed reflection of traffic route search disposition for the driver individual. This paper has five important meaning. (1)The approach is similar to the driver's route selection decision process. (2)The approach is able to control of route appraisal criteria for the multiple attribute. (3)The approach makes subjective judgement objective by a non additive. (4)The approach shows dynamic route search for the alternative route search. (5)The approach is able to consider characteristics of individual drivers attributed for the preference route search.

• Journal of Service Research and Studies
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• v.7 no.4
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• pp.83-107
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• 2017

The purpose of this study is to suggest a customized servant leadership by exploring the effects of stewardship and community building factors on the subordinates' trust in leader of lower hierarchy and their job engagement. Regression analysis showed that stewardship is higher than community building in terms of its influence on job engagement, while community building outstrips stewardship in terms of trust in leader. Specifically, two items of stewardship factor - valuing the opinions of the subordinates in decision-making, and sacrificing without giving priority to the leader's self-interest - influenced the subordinates' trust in their leader. Of the items in community building, cooperating rather than competition, abiding by the principles in performing the work, the leader's not seeking recognition or compensation, and giving the subordinates the necessary authority to perform their work put impacts on the subordinates' trust in the leader, as well. As for job engagement, helping subordinates grow and develop, and, if necessary, taking the risk of challenging the job have a significant impact. Among the items of community building, it was found that the leader's not seeking recognition or compensation, and keeping the principles strictly in performing her duties promote job engagement. Based on these results, we propose to managers of human resources department the selection and training of tailored talents to meet the environmental characteristics of each organization, while avoiding programs for hiring and training personnel equipped with the uniform qualities of servant leadership.

• The Journal of Engineering Research
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• v.6 no.2
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• pp.11-22
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• 2004

A distributed constraint satisfaction problem (distributed CSP) is a constraint satisfaction problem(CSP) in which variables and constraints are distributed among multiple automated agents. ACSP is a problem to find a consistent assignment of values to variables. Even though the definition of a CSP is very simple, a surprisingly wide variety of AI problems can be formalized as CSPs. Similarly, various application problems in DAI (Distributed AI) that are concerned with finding a consistent combination of agent actions can be formalized as distributed CAPs. In recent years, many new backtracking algorithms for solving distributed CSPs have been proposed. But most of all, they have common drawbacks that the algorithm assumes the priority of agents is static. In this thesis, we establish a basic algorithm for solving distributed CSPs called dynamic priority search algorithm that is more efficient than common backtracking algorithms in which the priority order is static. In this algorithm, agents act asynchronously and concurrently based on their local knowledge without any global control, and have a flexible organization, in which the hierarchical order is changed dynamically, while the completeness of the algorithm is guaranteed. And we showed that the dynamic priority search algorithm can solve various problems, such as the distributed 200-queens problem, the distributed graph-coloring problem that common backtracking algorithm fails to solve within a reasonable amount of time. The experimental results on example problems show that this algorithm is by far more efficient than the backtracking algorithm, in which the priority order is static. The priority order represents a hierarchy of agent authority, i.e., the priority of decision-making. Therefore, these results imply that a flexible agent organization, in which the hierarchical order is changed dynamically, actually performs better than an organization in which the hierarchical order is static and rigid. Furthermore, we describe that the agent can be available to hold multiple variables in the searching scheme.

• Journal of Society of Preventive Korean Medicine
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• v.23 no.2
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• pp.67-76
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• 2019

Objectives : The publication of systematic reviews (SRs) has increased significantly over the years, and systematic reviews are considered to have the strongest evidence as they are at the top of the hierarchy of evidence pyramid. In this study, a thorough assessment of all SRs published in Journal of Society of Preventive Korean Medicine (JSPKM) was performed to evaluate their reporting quality and methodological quality to better improve the quality of SRs in JSPKM. Methods : JSPKM website was searched to include all SRs published in JSPKM from 1997 to 2018. Two independent researchers assessed the SRs using A MeaSurement Tool to Assess systematic Reviews (AMSTAR, formerly known as Assessment of Multiple Systematic Reviews) tool checklist for methodological quality assessment, and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline checklist for reporting quality assessment. Results : Out of 618 published articles published in JSPKM from 1997 to 2018, only 3 SRs were identified as SRs. For AMSTAR methodological quality scoring, the average score of 3 SRs was 3.0 out of 11 which is low quality level. For PRISMA reporting quality items, the 3 SRs reported 17.3 items on average out of 27 items. The 3 identified SRs did not provide information on protocol or registration which is included in both AMSTAR assessment tool and PRISMA guideline. Conclusions : Improvements on reporting quality and methodological quality of SRs using relevant tools or guidelines are needed to assure the quality of SRs published in JSPKM so that their conclusions will be more transparent and reliable for decision-making in healthcare and the best clinical practice.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.5
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• pp.159-174
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• 2023

In this paper, we proposed a methodology to effectively determine the selection and prioritization of new business and innovation projects using AI technology. AI technology is a technology that can upgrade the business of companies in various industries and increase the added value of the entire industry. However, there are various constraints and difficulties in the decision-making process of selecting and implementing AI projects in the enterprise. In this paper, we propose a new methodology for prioritizing AI projects using Morphology, AHP, and TOPSIS. The proposed methodology helps prioritize AI projects by simultaneously considering the technical feasibility of AI technology and real-world user requirements. In this study, we applied the proposal methodology to a real enterprise that wanted to prioritize multiple AI projects in the HR field and evaluated the results. The results confirm the practical applicability of the methodology and suggest ways to use it to help companies make decisions about AI projects. The significance of the methodology proposed in this study is that it is a framework for prioritizing multiple AI projects considered by a company in the most reasonable way by considering both business and technical factors at the same time.

• Journal of Internet Computing and Services
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• v.25 no.3
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• pp.83-92
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• 2024

Recently, the importance of HR analytics for data-based decision-making in establishing and operating an effective human resource management system for companies is increasing. In addition, there is growing interest in the effect of employees' perceptions of organizational justice on positive organizational behavior. Therefore, in this study, among the various factors affecting teamwork behavior, we analyzed the impact on teamwork behavior such as perception of organizational justice and organizational culture. Organizational justice has a significant impact on the formation of members' attitudes, but its meaning may vary depending on the organizational context. In this study, we divided organizational justice into four types (procedural, distributive, interpersonal, and informational fairness) and confirmed their impact on teamwork behavior. In addition, organizational culture was divided into hierarchy culture and innovation culture, and how to regulate these relationships was examined. To analyze these relationships, individual-level data collected from 657 people at domestic companies were used for analysis. According to the analysis results, in a hierarchical culture, procedural justice and information justice had a positive influence on teamwork behavior through the mediating process of job satisfaction, and in an innovative culture, interpersonal justice and information justice had a positive influence on teamwork behavior through job satisfaction. It was confirmed to have a (+) effect. These research results provide implications for people management by indicating that, although organizational justice is important to members and organizations, it may be perceived differently and have different meanings depending on the organizational context. Through the use of the information presented in this study, we will provide value that can effectively and efficiently implement a company's human resource management system.

• Journal of Korean Tunnelling and Underground Space Association
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• v.21 no.1
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• pp.61-77
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• 2019

If a new utility tunnel is planned for high density existing urban areas in Korea, a rational decision-making process such as the determination of optimum design capacity by using the feasibility evaluation system based on quantitative evaluation indexes and the economic evaluation is needed. Thus, the previous study presented the important weight of individual higher-level indexes (3 items) and sub-indexes (16 items) through a hierarchy analysis (AHP) for quantitative evaluation index items, considering the characteristics of each urban type. In addition, an economic evaluation method was proposed considering 10 benefit items and 8 cost items by adding 3 new items, including the effects of traffic accidents, noise reduction and socio-economic losses, to the existing items for the benefit cost analysis suitable for urban utility tunnels. This study presented a quantitative feasibility evaluation method using the important weight of 16 sub-index items such as the road management sector, public facilities sector and urban environment sector. Afterwards, the results of quantitative feasibility and economic evaluation were compared and analyzed in 123 main road sections of the Seoul. In addition, a comprehensive evaluation method was proposed by the combination of the two evaluation results. The design capacity optimization program, which will be developed by programming the logic of the quantitative feasibility and economic evaluation system presented in this study, will be utilized in the planning and design phases of urban community zones and will ultimately contribute to the vitalization of urban utility tunnels.