• Journal of Information Technology Services
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• v.20 no.4
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• pp.35-52
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• 2021

Nowadays data-based decision making is emerging as the center of the business environment paradigm, but many companies do not have data-driven decision-making systems. It has also been studied that using an expert's intuition in decision making can be more efficient in terms of speed and cost, compared to analytical decision making. The goal of this study is to analyze customer churn factors using a group of experts within a financial company from the viewpoint of decision-making efficiency. We applied a debit card 'A', product of the National Credit Union Federation of Korea. The churn factors of all the financial expert groups were examined. Also. the difference in each group (management support, card recruitment, customer service group) was analyzed. We expect that this study will be helpful in the practical aspects of managers whose environments is lack data-oriented infrastructure and culture.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.203-214
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• 2024

This study seeks to provide implications for domestic-related policies through exploratory analysis research to support AI-based policy decision-making. The following should be considered when establishing an AI-based decision-making model in Korea. First, we need to understand the impact that the use of AI will have on policy and the service sector. The positive and negative impacts of AI use need to be better understood, guided by a public value perspective, and take into account the existence of different levels of governance and interests across public policy and service sectors. Second, reliability is essential for implementing innovative AI systems. In most organizations today, comprehensive AI model frameworks to enable and operationalize trust, accountability, and transparency are often insufficient or absent, with limited access to effective guidance, key practices, or government regulations. Third, the AI system is accountable. The OECD AI Principles set out five value-based principles for responsible management of trustworthy AI: inclusive growth, sustainable development and wellbeing, human-centered values and fairness values and fairness, transparency and explainability, robustness, security and safety, and accountability. Based on this, we need to build an AI-based decision-making system in Korea, and efforts should be made to build a system that can support policies by reflecting this. The limiting factor of this study is that it is an exploratory study of existing research data, and we would like to suggest future research plans by collecting opinions from experts in related fields. The expected effect of this study is analytical research on artificial intelligence-based decision-making systems, which will contribute to policy establishment and research in related fields.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.11a
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• pp.557-567
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• 2005

The increasing complexity of the socio-economic environments makes it less and less possible for single decision-maker to consider all relevant aspects of problem. Therefore are, many organizations employ groups in decision making. In this paper, we present a multiperson decision making method using fuzzy logic with linguistic quantifier when each of group members specifies imprecise judgments possibly both on performance evaluations of alternatives with respect to the multiperson criteria and on the criteria. Inexact or vague preferences have appeared in the decision making literatures with a view to relaxing the burdens of preference specifications imposed to the decision-makers and thus taking into account the vagueness of human judgments. Allowing for the types of imprecise judgments in the model, however, makes more difficult a clear selection of alternative(s) that a group wants to make. So, further interactions with the decision-makers may proceed to the extent to compensate for the initial comforts of preference specifications. These interaction may not however guarantee the selection of the best alternative to implement. To circumvent this deadlock situation, we present a procedure for obtaining a satisfying solution by the use of linguistic quantifier guided aggregation which implies fuzzy majority. This is an approach to combine a prescriptive decision method via a mathematical programming and a well-established approximate solution method to aggregate multiple objects.

• Fashion & Textile Research Journal
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• v.14 no.4
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• pp.544-553
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• 2012

This study examined the influence of consumer self-confidence and self-confidence in fashion coordination on the attitude toward secondhand fashion goods and the purchase intention of secondhand fashion goods. Questionnaire data from 346 university students were analyzed and the results were summarized as follows. First, there were five factor solutions in consumer self-confidence: information acquisition, personal outcomes decision making, social outcomes decision making, consideration-set information, persuasion knowledge. Second, information acquisition, social outcomes decision making, and consideration-set information had significant effects on self-confidence in fashion coordination, while personal outcomes decision making and persuasion knowledge had no effect on self-confidence in fashion coordination. Third, self-confidence in fashion coordination had a significant effect on attitude toward secondhand fashion goods however, it had no effect on purchase intention of secondhand fashion goods. Fourth, attitude toward secondhand fashion goods had a significant effect on the purchase intention of secondhand fashion goods. The results show diverse implications for marketers and managers of secondhand fashion goods.

• International Commerce and Information Review
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• v.13 no.3
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• pp.543-564
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• 2011

In the process of managing organization, the strategic decision-making and corporate performance are not independent, but they are interdependent each other. In most Korean firms, decision-making power and authority are concentrated on the higher echelons of managerial hierarchies. Examining big five trading conglomerates in Korea, this present paper investigates the relationship between strategic decision-making and a corporate performance. Although a number of review studies on Korean management have been developed over the years, there have been less works designed with decision making in mind. In order to achieve research objectives, this paper predicted some hypotheses, and the major findings include: 1) the influence of Korea's long-standing Confucian tradition and culture dominated across organizations, there have not been significant changes in decision-making process within big five trading firms; 2) top executives' excessive involvement in decision-making process does not hinder corporate performance. This result implies that the decision power is still tended to be centralized in the hands of the top management. 3) However, the power of Board of Directors in decision-making has become increasingly important; and 4) decision makers do not tend to misuse or abuse their political position and power for their own interests.

• The Journal of Information Systems
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• v.28 no.4
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• pp.333-358
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• 2019

Purpose The study aims to develop a data-based decision model for private bankers when recommending hedge funds to their customers in financial institutions. Design/methodology/approach The independent variables are set in two groups. The independent variables of the first group are aggressive investors, active investors, and risk-neutral type investors. In the second group, variables considered by private bankers include customer propensity to invest, reliability, product subscription experience, professionalism, intimacy, and product understanding. A decision-making variable for a private banker is in recommending a first-rate general private fund composed of foreign and domestic FinTech products. These contain dependent variables that include target return rate(%), fund period (months), safeguard existence, underlying asset, and hedge fund name. Findings Based on the research results, there is a 94.4% accuracy in decision-making when the independent variables (customer rating, reliability, intimacy, product subscription experience, professionalism and product understanding) are used according to the following order of relevant dependent variables: step 1 on safeguard existence, step 2 on target return rate, step 3 on fund period, and step 4 on hedge fund name. Next, a 93.7% accuracy is expected when decision-making uses the following order of dependent variables: step 1 on safeguard existence, step 2 on target return rate, step 3 on underlying asset, and step 4 on fund period. In conclusion, a private banker conducts a decision making stage when recommending hedge funds to their customers. When examining a private banker's recommendations of hedge funds to a customer, independent variables influencing dependent variables are intimacy, product comprehension, and product subscription experience according to a categorical regression model and artificial neural network analysis model.

• Journal of the East Asian Society of Dietary Life
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• v.15 no.4
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• pp.475-482
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• 2005

As Korea has approached the aging society, older Koreans have become an important force in restaurant sales today. To succeed with this silver market, it is important for restaurant managers to know who they are and which factor influence the older Koreans' eating-out decision making process. The purpose of this study was to investigate the effect of the elderly consumers financial independency on restaurant selection process. Data were collected from 178 older consumers above 55 years old and analyzed using the descriptive statistic analysis, MANOVA, and one-way ANOVA. The results showed that the elderly consumers financial independency significantly influenced the decision making process in determining where they eat out Significant differences were found between high income group and low income group in the Problem Recognition Step(Wilks' Lambda=0.776, F=3.796), Information Search Step(Wilks' Lambda=0.779, F=2.959), Alternative Evaluation Step (I :Wilks' Lambda=0.835, F=1.748/ II :Wilks' Lambda=0.764, F=3.212), and Purchase Decision Step(Wilks' Lambda=0.849, F=2.412), except the Post-Purchase Behavior(Wilks' Lambda=0.933, F=1.179). The more financially independent older consumers were, the more directly they were involved in the eating out decision making process. Older consumers with higher income and more personal property were likely to 'propose to eat out by themselves'(F=10.986), to obtain restaurant information from the 'printed materials'(F=9.707), to consider 'convenient location' as most important factor when they eat out(F=5.594), and to go to 'family restaurant'(F=7.067), 'Japanese restaurant'(F=7.391) and 'fine dining restaurants'(F-=6.382). In conclusion, we found that the elderly consumers financial independency did influence the eating-out decision making process. Considering that older Korean will become a financially independent consumer and will be eating away from home more often, food service operations should actively position themselves for this market and develop the market-driven menus and services to meet their needs and expectations.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.10-16
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• 2021

As the implementation of smart factories spreads widely, the need for research to improve data efficiency is raised by prioritizing massive amounts of big data using IoT devices in terms of relevance and quality. The purpose of this study is to investigate whether prioritizing big data in management accounting decisions such as cost volatility estimation and recipe optimization can improve smart solution performance and decision-making effectiveness. Based on the survey answers of 84 decision makers at domestic small and medium-sized manufacturers who operate smart solutions such as ERP and MES that link manufacturing data in real time, empirical research was conducted. As a result, it was analyzed that setting prioritization of big data has a positive effect on decision-making in management accounting. became In addition, it was found that big data prioritization has a mediating effect that indirectly affects smart solution performance by using big data in management accounting decision making. Through the research results, it will be possible to contribute as a prior research to develop a scale to evaluate the correlation between big data in the process of business decision making.

• Journal of the Korean Institute of Intelligent Systems
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• v.4 no.2
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• pp.24-34
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• 1994

Scientific involvement in complex decision-making system, characterized by multicriteria phenomena and fuzziness inherent in the structure of information, requires suitable methods. Especially, when powerful dependent criteria are introduced and their weighted value structure is ignorant, the systems are become more complex. This paper presents a fuzzy dependenced relation model and fuzzy measure model for this kind of multicriteria decision-making. The model we propose is based on fuzzy relation and fuzzy measure in fuzzy systems theory. For the application of the model, a numdrical example is quoted.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1994.04a
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• pp.742-748
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• 1994

Scientific involvement in complex decision-making systems, characterized by multicriteria phenomena and fuzziness inherent in the structure of information, requires suitable methods. Especially, when powerful dependent criteria are introduced, the systems are become more complex. This paper presents a fuzzy dependence relation model for this kind of multicriteria decision-making. The model we propose is based on fuzzy relation in fuzzy system theory. For the application of the model a numerical example is quoted.