• Journal of Smart Tourism
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• v.1 no.4
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• pp.3-7
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• 2021

Although Geographic Information Systems (GISs) have commonly been employed as powerful tools for manipulating and displaying spatial data in community-based tourism, a variety of GIS functions still lack the capabilities required to assist multiple decision makers to come to consensual decisions. In this study, I propose an alternative approach: spatial multicriteria decision analysis (SMCDA) that could reflect diverse decision makers' preferences by integrating GISs and multicriteria decision analysis (MCDA). I review the small number of case studies that have employed SMCDA, with a focus on the roles of GISs and MCDA. The methodological integration of GISs and MCDA into multi-spatial decision support systems offers the potential to implement participatory decision-making to solve complex spatial problems in community-based tourism planning, development, and management.

• Journal of the Korea Safety Management & Science
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• v.6 no.2
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• pp.177-186
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• 2004

Decision analysis has becomes an important technique for decision making in the face of uncertainty. It is characterized by enumerating all the available courses of action, identifying the payoffs for all possible outcomes, and quantifying the subjective probabilities for the all possible random events. When the data are available, decision analysis becomes a powerful tool for determining an optimal course of action. We study the multi-attribute decision making in a compensatory models. In this paper, we use the entropy methods in weights calculating. For the purpose of making optimal decision, the data of five different car models are used. For computing, we used Visual Numerica Version 1.0 software package.

• IE interfaces
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• v.16 no.4
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• pp.473-484
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• 2003

In this paper we deal with the logistics brokerage process in which a logistics agent intermediates between vehicle owners and shippers for matching empty vehicles and freights. Based on the Multi-Criteria Decision Making (MCDM) methodology, the proposed agent system matches the most preferred empty vehicle to the shipper and the most preferred freight to the vehicle owner. In the proposed agent system, an MCDM based sensitivity analysis is also used for supporting decision makers under negotiations. Among various MCDM methodologies, Analytic Hierarchy Process (AHP) is utilized in this paper. Although AHP is one of the most popular MCDM methodologies, AHP needs a number of pair-wise comparisons for assessing alternatives and hence may give excessive decision making burden to the decision makers. In this paper, in order to reduce the decision making burden, a preference function based estimation method is proposed. We can expect that the MCDM based logistics brokerage agent can be used as an efficient and effective tool for e-logistics marketplaces on the internet.

• The Research Journal of the Costume Culture
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• v.18 no.3
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• pp.476-487
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• 2010

The purpose of this study was to identify the determinants of decision-making confidence of clothing. As determinants, this study examined consumer susceptibility to interpersonal influence, vanity, and clothing knowledge. Data were collected through surveying university students in Seoul metropolitan area using convenience sampling method. Out of 324 distributed, 300 useful questionnaires were returned. The results showed that identical conformity among consumer susceptibility to interpersonal influence factors significantly influences, both directly and indirectly, decision making confidence through vanity. Although normative conformity does not influence decision-making confidence directly, it does significantly influence decision-making confidence indirectly through influencing vanity and clothing knowledge. The results suggest clothing is a manifestation tool for managing public self, which finally leads to increased clothing knowledge and decision-making confidence of clothing. These findings may be used by marketers in developing strategies for product development and promotion.

• Proceedings of the Safety Management and Science Conference
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• 2010.11a
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• pp.199-207
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• 2010

Decision analysis has becomes an important technique for decision making in the face of uncertainty. It is characterized by enumerating all the available courses of action, identifying the payoffs for all possible outcomes, and quantifying the subjective probabilities for the all possible random events. When the data are available, decision analysis becomes a powerful tool for determining an optimal course of action. In this paper, we use the analytic hierarchy process in weights calculating. For the purpose of making optimal decision, the data of three different smart phones models are used.

• Journal of the Korea Safety Management & Science
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• v.15 no.1
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• pp.249-258
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• 2013

Data Envelopment Analysis (DEA) is a useful tool to analyze the relative efficiency of decision making units (DMU) characterized by multiple inputs and multiple outputs. This method has been popularly used as an analytical tool to suggest some strategic improvement. To do this, the results of DEA provide decision makers with a single efficiency score, efficient frontier, return to scale, benchmarking decision making units, etc. The purpose of this paper is to evaluate research performance of 38 universities and provide an inefficient university with the way of organizational changes to be an efficient university by using DEA. Various input and output variables are used to identify technical and scale inefficiency. Additionally, we analyze how an inefficient DMU could be changed an efficient DMU based on a case university. This result will give an insight of constructive directions for increasing of research performance to university decision makers.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.227-239
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• 2023

Online marketing is a rapidly growing industry that heavily depends on digital technologies and data analysis to effectively reach and engage consumers. For that, artificial intelligence (AI) has emerged as a crucial tool for online marketers, enabling marketers to analyze extensive consumer data and automate decision-making processes. The purpose of this study was to investigate the ethical implications of using AI in online marketing, focusing on its impact on consumer privacy and decision-making. AI has created new possibilities for personalized marketing but raises concerns about the collection and use of consumer data, transparency and accountability of decision-making, and the impact on consumer autonomy and privacy. In this study, we reviewed the relevant literature and case studies to assess the potential risks and make recommendations for improving consumer protection. The findings provide insights into ethical considerations and offer a roadmap for balancing the advantages of AI in online marketing with the protection of consumer rights. Companies should consider these ethical issues when implementing AI in their marketing strategies. In this study, we explored the concerns and provided insights into the challenges posed by AI in online marketing, such as the collection and use of consumer data, transparency, and accountability of decision-making, and the impact on consumer autonomy and privacy.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.4
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• pp.145-152
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• 2010

Under limited resources such as budgets and experts, it is necessary to make decisions for promotion strategy of standardization work items in Information and Communication Technologies (ICTs). This paper focuses on a method of setting standardization promotion strategies for each item of personal information security standardization. As a decision making tool, the Importance Performance Anaysis (IPA) is applied and analyzed to the decision processes. The results are showed and illustrated for useful inputs to practical policy making in the field of standardization activities.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.05a
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• pp.219-220
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• 2015

Along with the legalization of balcony extension, numerous contractors have been suggesting designs for apartment houses based on the residents desire for balcony extension. It has been investigated that most residents prefer the balcony extension due to the increase in space. However, numerous residents have been experiencing problems occurred due to the extension such as air conditioning and heating cost and sound insulation problems. Therefore, this study aims to suggest an objective decision making tool for the residents that aids the residents decision making on balcony extension considering pros and cons of balcony extension.

• Proceedings of the Korea Society of Design Studies Conference
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• 2003.11a
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• pp.76-77
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• 2003