• Journal of the Ergonomics Society of Korea
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• v.25 no.3
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• pp.7-16
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• 2006

Although several theories and models have been proposed to explain the effects of cultural differences in team decision making, many aspects of team decision-making in multi-cultural contexts such as team performance, team communication, and team cognition still remain unclear. In particular, little attention has paid to the empirical studies on team processes multi-cultural team members use to interact with each other to accomplish the task in different task environments. To investigate the effects of culture and task characteristics on team decision making behavior in multi-cultural contexts, this study compared culturally homogenous and heterogeneous groups in the context of logistics decision making. Results of the study showed that cultural difference and task complexity may affect team performance as well as team interaction process to varying degree.

• Journal of the Korea Safety Management & Science
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• v.9 no.1
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• pp.213-220
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• 2007

This paper proposes the selection model of the telecommunication company using an analytical hierarchy process. When selecting a telecommunication company, consumers conflict the difficulty In decision-making because there are many competitive and complementary factors of telecommunication companies. To select an optimal telecommunication company, consumers need to consider a number of different quantitative and qualitative factors such as fare, various services, additional function and so on. In this study, we use the analytic hierarchy process based method for selecting the telecommunication company considering various factors to help consumers' decision-making for their benefits.

• Korea journal of population studies
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• v.12 no.1
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• pp.30-42
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• 1989

This study develops a model of migration decision-making process, with identifying macrolevel and microlevel factors affecting the process. The model includes some sequential stages : to be dissatisfied with current residential area, intend to move, collect information about alternative destinations, select destination, decide to move, and make actual migration. The macrolevel factors included in the model are environmental, socioeconomic, cultural, and demographic characteristics of the current residence and alternative destinations. The microlevel factors are psychological, socioeconomic, and demographic characteristics of the individual. The effects of the macrolevel and microlevel factors on each stage of migration decision-making process are identified from the previous studies on migration. This study has both theoretical and practical implications. The theoretical contribution will be in the area of integrating the ecological and the individual level perspectives of migration by identifying the macrolevel and microlevel effects on migration decision-making process. This study also has implications for theoretical frameworks guiding empirical analysis of migration behavior of the individuals, and for policies aimed at redistributing population.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.992-1000
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• 2022

Heritage buildings (HBs) as structures with historical and architectural relevance that form an integral part of contemporary society. HBs deserve to be protected for as long as possible to retain their significance. Therefore, prioritizing HB maintenance management (HBMM) is pertinent. However, the decision-making process of HBMM can be relatively daunting. The decision-making challenge may be attributed to the multiple 'stakeholders' expectation and requirement which needs to be met. To this end, professionals in the built environment have identified the need to apply the strategic concept of facilities management (FM) in decision making. However, studies exploring the application of FM in decision-making seem lacking. To bridge this gap, this study focuses on developing a framework for strategic decision-making HBMM, which helps achieve HBMM sustainability. At the study's inception, relevant works of literature in the domains of HBMM and FM were conducted. This review helped identify contemporary maintenance practices and their applicability to HBMM. Afterward, a conceptual framework to aid decision-making in HBMM was developed. This framework integrated the concept of FM scope (people, place, process, and technology) while ensuring that decisions and plans were made at strategic, tactical, and operational levels. The conceptual framework presents a holistic guide for professionals in HBMM to ensure that decision processes and outcomes are practical and efficient. It also contributes to the existing body of knowledge on the integration of FM in HBMM. Furthermore, it will help achieve HB sustainability through an effective decision-making process.

• International conference on construction engineering and project management
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• 2017.10a
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• pp.183-191
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• 2017

In building project, client needs to decide many things, and clients cooperate with architects, supervisors, general contractors and other consultants. Especially in construction phase, clients often make a decision. However, client's decision-making in construction phase often makes some kinds of risk. This paper aims to clarify the reality of client's decision-making in construction phase. First, client's decision-making is defined by laws and standards. Second, the questionnaire revealed the current status of client's decision-making in 4 works. Third, Fishbone diagram shows the factors of client's decision-making in four works. Finally, it was modeled how client's decision-making in construction phase affects the post-process of 4 works.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.109-122
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• 2023

As platforms become primary decision making tools, platforms for decision have been introduced to improve quality of decision results. Because, decision platforms applied augmented decision-making process which uses experiences and feedback of users. This process creates a variety of alternatives tailored for users' abilities and characteristics. However, platform users choose alternatives before considering significant quality factors based on securing decision quality. In real world, platform managers use an algorithm that distorts appropriate alternatives for their commercial benefits. For improving quality of decision-making, preceding researches approach trying to increase rational decision -making ability based on experiences and feedback. In order to overcome bounded rationality, users interact with the machine to approach the optional situation. Differentiated from previous studies, our study focused more on characteristics of users while they use decision platforms. This study investigated the impact of quality factors on decision-making using platforms, the dimensions of systematic factors and user characteristics. Systematic factors such as platform reliability, data quality, and user characteristics such as user abilities and biases were selected, and measuring variables which trust, satisfaction, and loyalty of decision platforms were selected. Based on these quality factors, a structural equation research model was created. A survey was conducted with 391 participants using a 7-point Likert scale. The hypothesis that quality factors affect trust was proved to be valid through path analysis of the structural equation model. The key findings indicate that platform reliability, data quality, user abilities, and biases affect the trust, satisfaction and loyalty. Among the quality factors, group bias of users affects significantly trust of decision platforms. We suggest that quality factors of decision platform consist of experience-based and feedback-based decision-making with the platform's network effect. Through this study, the theories of decision-making are empirically tested and the academic scope of platform-based decision-making has been further developed.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.15 no.5
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• pp.39-47
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• 2016

Nowadays, several welding processes are generally used to join parts together, and the materials are generally steel, aluminum, copper, stainless steel, and other difficult-to-weld materials. If a proper welding process is chosen, it is helpful for welding parts. However, there is no desirable technique for appropriately deciding on the welding process in the industry. Therefore, an appropriate method of selecting a welding process is needed for the novice worker in the industry. In this sense, a new analytic network process (ANP) technique is used for effective decision making in welding. By considering several criteria in ANP, a selection method is suggested to decide on the proper welding process. In the study, several criteria were considered for the proper welding of parts. By considering a matrix of prior interdependence effects among various welding processes, a decision-making method based on an ANP is accomplished using a weighting matrix, which is supposed to select an appropriate welding process. In addition, for appropriate decision criteria of the welding process, several factors, such as material, shape, precision, economics, and equipment, are used to accomplish the ANP algorithm. Moreover, the final weighting matrix is calculated following its ANP strategy. Furthermore, this decision-making technique is applied to both stainless razor spot joining and thick steel pipe joining. The results show its reliability and practicality, and the novice engineer and manager can use this technique to determine the best welding process.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.2
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• pp.647-669
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• 2016

Multiple attribute for decision making including user preference will increase the complexity of route selection process. Various approaches have been proposed to solve the optimal route selection problem. In this paper, multi attribute decision making (MADM) algorithms such as Simple Additive Weighting (SAW), Weighted Product Method (WPM), Analytic Hierarchy Process (AHP) method and Total Order Preference by Similarity to the Ideal Solution (TOPSIS) methods have been proposed for acoustic signature based optimal route selection to facilitate user with better quality of service. The traffic density state conditions (very low, low, below medium, medium, above medium, high and very high) on the road segment is the occurrence and mixture weightings of traffic noise signals (Tyre, Engine, Air Turbulence, Exhaust, and Honks etc) is considered as one of the attribute in decision making process. The short-term spectral envelope features of the cumulative acoustic signals are extracted using Mel-Frequency Cepstral Coefficients (MFCC) and Adaptive Neuro-Fuzzy Classifier (ANFC) is used to model seven traffic density states. Simple point method and AHP has been used for calculation of weights of decision parameters. Numerical results show that WPM, AHP and TOPSIS provide similar performance.

• Journal of Construction Engineering and Project Management
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• v.7 no.2
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• pp.19-33
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• 2017

Various forms of procurement are open to companies when constructing new owner-occupied properties. The selection of a form of procurement is an important decision-making problem for companies and their Corporate Real Estate Management (CREM) departments. With this in mind, a decision support tool has been developed to optimise the outcome and success of company's proposed real estate development projects and is presented in this paper. This model can also be used for current real estate portfolios to optimise returns in the long term. In pursuit of this objective and in order to provide an academic basis for this study, decision-relevant goals and parameters were initially identified from the referenced literature used in our research. These were subsequently evaluated in a case study of a corporate development project and identified as specific decision criteria from the perspective of the CREM. The investigation identified 15 criteria that are relevant to the corporate decision-making process in procuring and/or developing property. A model for supporting and resolving decision-making problems of this type was derived from decision theory. In this paper, a decision-making tool is presented that takes into account all the decision criteria from the CREM point of view for the first time. This model should therefore serve as an aid in implementing the decision-making process for the development of real estate projects in a more structured and transparent manner.

• Journal of Korean Academy of Nursing Administration
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• v.15 no.2
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• pp.275-283
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• 2009

Purpose: This study investigated the effects of reeducation of nursing process on nurses' expertise, critical thinking disposition, and clinical decision making. Methods: Data were collected from March to June, 2007. The subjects were 47 Academic Credit Bank System Student Nurses. They were taught 'nursing process' during 1 semester(15weeks). 47 nurses were divided into three groups according to clinical experience(under 3 years, 3 to under 5 years, 5 years or more). After 15 weeks, the effects of education were compared using a paired t-test between pre-test and post-test. Results: There was a significant difference in the 3 to under 5 years experienced nurses's expertise(t=-3.659, p=.004) between the pre-test and post-test. There was a significant difference in the 5 years or more experienced nurses's expertise(t=-5.781, p<.001) and critical thinking disposition(t=-3.345, p=.003) between the pre-test and post-test. There were no significant differences in clinical decision making(accuracy, proficiency, and confidence) of 3 groups. Conclusion: Reeducation of nursing process is a valuable teaching and an evaluation strategy for 5 years or more experienced nurses to improve expertise and critical thinking disposition. We need to develop continuing education program for improving nurses' clinical decision making.