• Health Policy and Management
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• v.14 no.3
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• pp.1-19
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• 2004

The purposes of this study were to investigate factors of the Obstetrics & Gynecology healthcare consumers' selection of hospitals by lifestyle segmentation and to propose managerial suggestions in health care marketing. Out of total 400 Questionnaires, 351 were considered to be valid for final analysis. The Questionnaire consisted of 81 Questions. 11 demographic Questions, 15 factors for selecting hospitals, 55 lifestyle. The collected data were analyzed with SPSS/pc+ Version 10.0. The subjects were divided into four groups in terms of their lifestyles: 'health active group', 'health conscious group', 'health indifferent group', 'health inactive group'. The analysis of factors related to the selection of hospitals shows that there were four factors: 'accessability', 'medical trust', 'cost and convenience', 'facilities'. Conclusion: As a results of this study, 4 types of healthcare consumers' lifestyle were defined. Each life style has specific characteristics. 'Health active group' pursue 'accessability', 'medical trust', 'cost and convenience' and Health conscious group' depended on 'medical trust', 'cost and convenience'. and 'facilities'. 'Health indifferent group' didn't show any special interest in the selection of hospitals and that 'Health inactive group' relied on 'medical trust', and 'facilities'.

• Journal of the Korea Institute of Building Construction
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• v.15 no.4
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• pp.405-412
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• 2015

The procurement of public construction, which has been selected mainly on the basis of the work experience of a department of public agencies that award construction contracts or those in charge of ordering, has not been executed through an objective selection process considering the construction types or characteristics. Thus, as a preliminary study on developing a model for the selection of contract methods, this study intends to analyze and present the key factors affecting the selection of procurement methods in public construction. Through a literature review on the existing methods, foundational factors were first presented, based on the analysis of these factors, the final influence factors were proposed. As a result, 6 factors contractor's characteristics, the environment of the construction market, relevant organization, the characteristics of a project, costs, and responsibility factors were determined, and 14 sub-factors were selected. The factors presented in this study will be used as base data for developing a decision making support model for the selection of contract methods in public construction.

• Culinary science and hospitality research
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• v.10 no.1
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• pp.82-95
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• 2004

This study had an aim to analyze the relationship between consumers' selection of restaurant and constitutional factors of the images of Bibimbap Specialty restaurant. The study examined through constitutional factors including hygiene, employee, facility, brand, convenience, price and food, and found those effects on selection of restaurant. In addition, the image of restaurant had an effect on that of hygiene and employee, price and food in order.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.229-236
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• 2022

In this study, we proposed a hierarchical model of a mobile fashion shopping apps to find out factors that consumers consider when choosing a mobile fashion shopping apps, and also derived priorities by calculating the weights of the selection factors. To estimate the priorities of selection factors, we analyzed survey data collected from consumers who are currently using a mobile fashion shopping apps. As a result of this study, the first-step selection factors of the mobile fashion shopping apps consisted of economics, informativity, convenience, reliability, and additional service, and economics factor revealed to be the most important. Additionally, in the result of synthesizing the weights of the first-step and second-step selection factors, the coupons and discount event factor was found to be the most important. In the fierce competition of various mobile fashion shopping apps, the findings of this study not only proposed the evaluation model of mobile fashion shopping apps using the AHP technique but provided the priority of consumers' selection factors for mobile fashion shopping apps.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.3
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• pp.158-164
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• 2007

Supply Chain Management (SCM) system is a critical investment that can affect the competitiveness and performance of a company. Selection of a right SCM system is one of the critical issues. This paper presents the characteristic factors of SCM system and a Fuzzy AHP (Analytic Hierarchy Process) based decision-making model for SCM system evaluation and selection. This study focuses on quantitative factors, applying the fuzzy concept to various evaluative factors. The proposed model can systematically construct the objectives of SCM system selection to achieve the business goals. A empirical example demonstrates the feasibility of the proposed model and the model can help a company to make better decision-making in the SCM system selection problem.

• Culinary science and hospitality research
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• v.10 no.3
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• pp.119-134
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• 2004

Now days, the life style of people is getting more scientific and more specialized, so food habit as well as food culture are a measure of cultural level of a country. Studies on consumer behavioral model show that food habit is closely related to consumer preference due to changing life pattern and increasing family income. Therefore, The definition of the impact of menu characteristics on customer menu selection is the object of this study. For that purpose, some attempts are made: First, discuss the theories on Korean food and customer purchasing behavior as a standard of analysis. Second, find out if there are any differences in customer menu-selection factors for Korean restaurantin in a hotel. Third, make an empirical analysis of menu-selection factors for Korean in a hotel to suggest which direction it should go forward. Fourth, analyze the relationship between demographic characteristics and menu-selection factors.

• Journal of the Korea Safety Management & Science
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• v.11 no.2
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• pp.153-158
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• 2009

An optimal selection problem of SCM system is one of the critical issues for the company's competitiveness and performance under global economy. This paper presents a hierarchy model consisted of characteristic factors for introducing SCM system and an AHP (Analytic Hierarchy Process) based decision-making model for SCM system evaluation and selection. The proposed model can systematically construct the objectives of SCM system selection to meet the business goals. This paper focuses on selecting an optimal SCM system considering both all decision factors and sub-decision factors of a hierarchy model. Especially, the benefit/cost analysis is applied to choose SCM system. A case study shows the feasibility of the proposed model and the model can help a company to make better decision-making in the SCM system selection problem.

• Journal of Applied Tourism Food and Beverage Management and Research
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• v.15 no.2
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• pp.203-218
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• 2004

The purpose of this study was to identify the selection attributes of family restaurants according to the consumers' use types with the main focus on the family restaurants in the Busan. Area Nine factors in total were generated in order to verify the hypotheses of this study through the factor analysis of the selection attributes of the family restaurants. The differences between the various selection factors for the family restaurants according to the decision-making, the preparation period, and the visiting frequency through the analysis of the diffcrence from the selection factors for the family restaurants according to the use types.

• Journal of Applied Tourism Food and Beverage Management and Research
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• v.16 no.1
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• pp.93-112
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• 2005

The purpose of this study was to identify the selection attributes of family restaurants according to the consumers' use types with the main focus on the family restaurants in Busan Area. Nine factors in total were generated in order to verify the hypotheses of this study through the factor analysis of the selection attributes of the family restaurants. The differences between the various selection factors for the family restaurants according to the decision-making, the preparation period, and the visiting frequency through the analysis of the difference from the selection factors for the family restaurants according to the use types.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.23
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• pp.10539-10542
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• 2015

A method to predict the risk of lung cancer is proposed, based on two feature selection algorithms: Fisher and ReliefF, and BP Neural Networks. An appropriate quantity of risk factors was chosen for lung cancer risk prediction. The process featured two steps, firstly choosing the risk factors by combining two feature selection algorithms, then providing the predictive value by neural network. Based on the method framework, an algorithm LCRP (lung cancer risk prediction) is presented, to reduce the amount of risk factors collected in practical applications. The proposed method is suitable for health monitoring and self-testing. Experiments showed it can actually provide satisfactory accuracy under low dimensions of risk factors.