• Journal of the Korean Operations Research and Management Science Society
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• v.3 no.1
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• pp.81-91
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• 1978

Decision models are an attempt to reduce uncertainty in the decision making process. The models describe the relationships of variables and given proper input data generate solutions to managerial problems. These solutions may not be answers to the problems for one of two reasons. First, the data input into the model may not be consistant with the underlying assumptions of the model being used. Frequently parameters are assumed to be deterministic when in fact they are probabilistic in nature. The second failure is that often the decision maker recognizes that the data available are not appropriate for the model being used and begins to collect the required data. By the time these data has been compiled the solution is no longer an answer to the problem. This relates to the timeliness of decision making. The authors point out throught the use of an illustrative problem that stocastic models are well developed and that they do not suffer from any lack of mathematical exactiness. The primary problem is that generally accepted procedures for data generation are historical in nature and not relevant for probabilistic decision models. The authors advocate that management information system designers and accountants must become more familiar with these decision models and the input data required for their effective implementation. This will provide these professionals with the background necessary to generate data in a form that makes it relevant and timely for the decision making process.

• The Research Journal of the Costume Culture
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• v.9 no.2
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• pp.223-234
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• 2001

The purpose of this study was to investigate the effect of demographics and general buying characteristics of knitwear consumers on their buying decision-making process. In this study, a self-administered questionnaire was distributed to young career women and female undergraduate students. of 580 questionnaires, 496 were used in the following analysis. The data was analyzed with SPSS package. T-test, one-way ANOVA and x² analysis were used to investigate the impact of characteristics of the consumers on their demographics. The high school graduate-career women group, relative to other groups, showed significant differences in practical aspects in buying knitwear. Second, the knitwear buying places of consumers were significantly different depending on the demographics and general buying characteristics of knitwear. The higher annual knitwear buying expenses and the lower knitwear buying frequency, the more a consumer shopped in department stores. Third, the knitwear satisfaction level of consumers was significantly different depending on their demographics and general buying characteristics of knitwear. career women relative to female undergraduate students showed significant differences in satisfaction with design, quality and yarns.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2007.11a
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• pp.121-129
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• 2007

Recently a multi-attribute structure analysis method is one of the evident areas of important points in the decision support system analysis. This research developed an internet/intranet-based solution builder for a three-step decision support system using fuzzy-AHP in the view of 1) brainstorming far the idea generation, 2) fuzzy-AHP (fuzzy analytic hierarchy process) as a multi-attribute structured analysis method and 3) aggregation logic model to integrate the results of individual analysis. We applied this decision support system to the make-or-buy decision problem for school foodservice system considering the multi-attributes in the decision making. A computer program is developed and demonstrated it internet/intranet-based decision problem. It was known that this solution builder provides decision makers a good tool for mate-of-buy group decision making.

• Asia pacific journal of information systems
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• v.9 no.3
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• pp.75-92
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• 1999

Executive information systems (EIS) developers are faced with an increasingly difficult choice problem in the evaluation and selection of software packages. For many reasons, they frequently must depend on identification and evaluation of features of packages. When EIS software evaluation is regarded as an unstructured or semi-structured group decision making problem, the most appropriate decision-aiding methods are needed to help effective group interaction. This paper examines evaluation criteria of full-featured EIS packages and considers the priority of these criteria using the Analytic Hierarchy Process (AHP). Two exploratory phases are presented. In the first phase, an approach combining the AHP with the linear weighted attribute method is presented to computer qualities of some packages. In the second phase, the decision making group includes EIS developers, users, and vendors to prioritize evaluation criteria.

• The Research Journal of the Costume Culture
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• v.24 no.3
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• pp.385-398
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• 2016

In a world where opportunities and chances are common, the phenomenon referred to as "generation maybe" describes people in their 20s and early 30s who are usually being indecisive. With the increase in breadth of information and choices, the number of people who are hesitant in deciding whether to purchase increases at a fast pace, as does the number of products and services targeting this group. In order to enhance our understanding of the phenomenon of consumer hesitation, this study explores contextual factors and consumer characteristics that affect consumer hesitation in the purchase decision-making process. Specifically, this study examines whether seven contextual factors, self-determination tendencies, and five decision-making styles influence consumer hesitation in the product decision making process. An online survey was administered to test our research questions. A total of 309 Korean consumers (female=48.9%) aged from 20 to 35 were surveyed. A regression analysis revealed that four contextual factors (product involvement, need for information on alternatives, relative price, and uncertain need), two sub-dimensions of self-determination (perceived competence and relatedness), and two decision-making styles (price seeking and advice seeking) have noticeable influences on consumer hesitation. We also found that the degree of consumer hesitation positively influences consumer post-purchase satisfaction. The study concludes with discussions and practical implications.

• Journal of The Korean Association For Science Education
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• v.38 no.5
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• pp.739-751
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• 2018

The purpose of this study is to identify the differences of argumentation discourses for Socio-Scientific Issues in the types of decision-making and personality traits of pre-service biology teachers. For this study, SSI discussion topics were selected according to four types of decision making: logical reasoning, suggestion of complement, emotional base, and internal conflict. Three groups were constructed based on personality traits such as extroversion, acceptability, and integrity. Each three group used the workbook specially developed and freely used the smart device for discussion. A recorder and a camcorder were used to record each group, their behavior was recorded and the written materials during the discussion were collected for the results. Using Walton's analysis framework, the collected data analyzed in terms of the source of utterance, the process of dialogue shift, and the critical movements that can judge the reasoning of utterance. As a result of the study, it was confirmed that the decision-making type of SSI topics and learners' personalities were influential in the decision-making process of SSI small group discussions. This research shows that there is a need to develop instructional materials considering decision-making types and learners' personality types of students as well as pre-service teachers for SSI discussion.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.843-851
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• 2020

This study focuses on identifying and prioritizing the broader performance measures for the service supply chains by taking the case of Majan Electricity Company, Sohar, in the Sultanate of Oman. For an examination of the uniformity of ultimate objectives and the priorities therein, two strata of respondents with a total of fourteen respondents were approached for their valuable insights. Suitable structured instruments were personally administered to elicit the insightful and worthy responses. The two multi-criteria decision-making techniques, namely, the Fuzzy Analytical Hierarchy Process and the Best-Worst Method were used to reach a meaningful prioritization of the identified and refined broader performance measurement dimensions. The results show that there exists a minor gap between the two respondents' groups in terms of their prioritizations. The major finding points to the difference in terms of the topmost priorities as revealed by the two set of respondents. For one group of respondents, the customer satisfaction matters the most, whereas for the other group, it is the overall profitability that matters the most. This gap against the utopian state assists in concluding that there is a requirement to reorient the employees so as to have a shared and common understanding of the organizational priorities.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.4
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• pp.21-29
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• 2007

We derive priority decision making on healthcare service technology standardization in the home network through the decision support process with industry professionals. We configured a research group with 4 industrial areas including Industry, Academic, Research Institution and Medical Institution. And we also applied AHP methodology for the priority decision making. The research group decides an evaluation criteria which are consisted of marketability, technology, ripple effect, strategy for national policies in order to make a priority for healthcare service on a home network. And it is also decided 7 fields and 24 sub-fields, technically. In order to make a priority for the standardization, we use an AHP methodology, that is more objective and feasible, as a decision tool. After two-phase survey that consists of paper survey and face to face meeting, we get a conclusion that home healthcare content is at the top and then wireless home network follows it.

• Asia pacific journal of information systems
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• v.9 no.2
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• pp.151-168
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• 1999

The objective of this study is to investigate the effects of different meeting modes and task types on the outcomes of group decision making. The hypotheses postulate the potential effects of different meeting modes on appropriation process; different meeting modes on group outcomes; and the appropriation process on group outcomes. A laboratory experiment was conducted. A GSS was developed using Lotus Notes for this experiment. The results provide partial support for the hypotheses derived from the theoretical model. The interaction effects between meeting modes and tasks are not always observed in the analyses. However, groups using a face-to-face meeting mode in negotiation task reach significantly higher levels of perceived outcome quality, of satisfaction with the outcome, and of satisfaction with the process than groups using a dispersed-synchronous meeting mode. It suggests that a face-to-face meeting mode can enhance the effectiveness of groups working on a negotiation task such as stakeholder analysis. Furthermore, the manner in which groups appropriate the technology significantly influence the group performance. The results support the validity and usefulness of the IRT and the AST as a GSS research framework.

• Management & Information Systems Review
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• v.5
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• pp.33-59
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• 2000

Problem definition is as important as problem solving in decision making. Decision makers, however, tend to see problem partly or to define it unclearly. The researchers on decision making tend to lay a focus only on the Process of solving the given problem. This dissertation empirically studied the Problem diagnosis and definition in the decision making process. This study developed three kinds of DSS(Decision Support System) for the research and analyzed the effectiveness of the problem diagnosis and definition using DSS developed in this study. The three kinds of DSS are K-T(Kennel and Tregoe) DSS which is a method of table-styled information Presentation, and F-N(Fact-Net) DSS and C-E(Cause and Effect) DSS which are methods of graphic-styled information presentation. The empirical study was conducted twice; the pilot test and the main test. The samples of experiment are 218 students for the pilot test and 259 students for the main test. The author used K-T DSS and F-N DSS for the pilot test, and the revised K-T DSS and C-E DSS for the main test. A questionnaire survey method was included in the main test process The result of the study shows that the group using DSS in problem diagnosis and definition is more effective than the group not using DSS. A table-styled information presentation DSS, K-T, turns out more effective than a graphic-styled information presentation DSS, F-N, K-T DSS and C-E DSS showed no significant differences in the effectiveness in the main test. These results indicate that the use of DSS in the stage of problem diagnosis and definition is very effective and the methods and types of system design are a significant factors for DSS development.