Determining the relative importance of antecedents to advice utilization in decision-making with and without missing information

2006 ◽  
Author(s):  
Silvia Bonaccio ◽  
Reeshad Dalal
Keyword(s):  
Decision Making ◽  
Relative Importance ◽  
Missing Information ◽  
Advice Utilization

Penilaian Kinerja Dosen Dengan Menggunakan Metode AHP Studi Kasus di STIE Ahmad Dahlan Jakarta

Liquidity ◽  
2018 ◽  
Vol 2 (1) ◽  
pp. 100-109
Author(s):  
Ellya Sestri
Keyword(s):  
Decision Making ◽  
Performance Appraisal ◽  
Technological Progress ◽  
Pairwise Comparison ◽  
Relative Importance ◽  
Faculty Performance ◽  
Business World ◽  
The Face ◽  
Hierarchy Process ◽  
Rule Out

An increasingly rapid technological progress in the era of globalization in the business world, so do not rule out the possibility that a decision-making is something that is very vital in determining the decisions to be taken in the face of competitive business world. Decision making can be influenced by several aspects, this can affect the speed of decision making by the decision maker in which decisions must be quick and accurate. Lecturer Performance Assessment Using the Analytical Hierarchy Process is a decision support system that aims to assess faculty performance according to certain criteria. This system of faculty performance appraisal criteria to map a hierarchy, where each hierarchy will be performed pairwise comparison, the pairwise comparisons between criteria, so to get a comparison of the relative importance of criteria with each other. The results of this comparison is then analyzed to obtain the priority of each criterion. Once completed and performed an assessment of alternative options to be compared and calculated to obtain the best alternatives according to established criteria.

scholarly journals Prioritization in Strategic Environmental Assessment Using Fuzzy TOPSIS Method with Random Generation for Absent Information in South Korea

2021 ◽  
Vol 13 (3) ◽  
pp. 1458
Author(s):  
Daeryong Park ◽  
Huan-Jung Fan ◽  
Jun-Jie Zhu ◽  
Taesoon Kim ◽  
Myoung-Jin Um ◽  
...  
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Fuzzy Topsis ◽  
River Basins ◽  
Ideal Solution ◽  
Missing Information ◽  
Nakdong River ◽  
Han River ◽  
Priority Ranking ◽  
The Nakdong River

This study evaluated a fuzzy technique for order performance by similarity to ideal solution (TOPSIS) as a multicriteria decision making system that compensates for missing information with undefined weight factor criteria. The suggested Fuzzy TOPSIS was applied to ten potential dam sites in three river basins (the Han River, the Geum River, and the Nakdong River basins) in South Korea. To assess potential dam sites, the strategic environment assessment (SEA) monitored four categories: national preservation, endangered species, water quality, and toxic environment. To consider missing information, this study applied the Monte Carlo Simulation method with uniform and normal distributions. The results show that effects of missing information generation with one fuzzy set in GB1 site of the Geum River basin are not great in fuzzy positive-ideal solution (FPIS) and fuzzy negative-ideal solution (FNIS) estimations. However, the combination of two fuzzy sets considering missing information in Gohyun stream (NG) and Hoenggye stream (NH) sites of the Nakdong River basin has a great effect on estimating FPIS, FNIS, and priority ranking in Fuzzy TOPSIS applications. The sites with the highest priority ranking in the Han River, Geum River, and Nakdong River basins based on Fuzzy TOPSIS are the Dal stream 1 (HD1), Bocheong stream 2 (GB2) and NG sites. Among the sites in all river basins, the GB2 site had the highest priority ranking. Consequently, the results coincided with findings of previous studies based on multicriteria decision making with missing information and show the applicability of Fuzzy TOPSIS when evaluating priority rankings in cases with missing information.

Slouching Toward Disaster

2011 ◽  
Author(s):  
Stephen A. Batzer ◽  
John S. Morse
Keyword(s):  
Decision Making ◽  
Gulf Of Mexico ◽  
Slow Motion ◽  
Deepwater Horizon ◽  
Complete Loss ◽  
Missing Information ◽  
Financial Loss ◽  
Low Profile ◽  
Decision Making Processes ◽  
Individual Decisions

“But, who cares, it’s done, end of story, [we] will probably be fine and we’ll get a good cement job.” This is an oft-repeated email quotation from one BP engineer to another on April 16, 2010, just four days before the Macondo well blew out in the Gulf of Mexico. Although these two men survived, 11 others did not. The well blowout also brought with it poisoning of the ecology and vast financial loss. This quote, part of a discussion about centralizers for the well (BP ended up with just six instead of the planned 16 or 21), seems to epitomize the attitude regarding a series of decisions made about the well’s design. The product of the decisions was complete loss and worse. However, the parties did not seem to be aware of the importance of their individual decisions or their consequences as they were making them. This disaster, like many others, seemed in retrospect to unfold in slow motion, and the players involved did not perceive the sheer cliff before them until they had transgressed its edge. This paper will examine decision-making processes in the Deepwater Horizon blowout and a series of other disasters, both high and low profile events. All of these preventable events stemmed from decision-making failures. These failures include disregarding existing information, failing to soberly extrapolate “what if?” when existing information contained uncertainty, failing to obtain vital missing information, failing to question decisions — particularly from those considered authoritative, and a cavalier attitude regarding rules because probably nothing will happen anyway. “Who cares?”

scholarly journals A Model Proposed for the Prediction of Future Sustainable Residence Specifications Using Analytical Network Process

2019 ◽  
Vol 4 (3) ◽  
pp. 109
Author(s):  
Ayman M. Zakaria Eraqi ◽  
Walid Abdul-Hady Shoura
Keyword(s):  
Decision Making ◽  
Developing Countries ◽  
Demographic Characteristics ◽  
Relative Importance ◽  
Good Decision ◽  
Analytical Network Process ◽  
Network Process ◽  
Decision Structure ◽  
Occupant Satisfaction

In Egypt, people are unable to determine the qualities of appropriate residence that achieves quality and occupant satisfaction, and contributes to sustainability of residential conglomerations. In general, developing countries lack housing information which can be used to enhance quality of residence. Also, the methods of assessing and identifying the appropriate criteria for future residence quality remain traditional ones that cannot address the multiple, conflicting, overlapping aspects to reach a good decision. This calls for using the Analytical Network Process  (ANP), an effective tool for specifying the relative importance of all factors impacting a specific issue for making an appropriate residential decision. In addition, this method provides results for the decision element impacts network within the decision structure; thus contributing to more understanding of the mechanisms and requirements of residence selection. The proposed decision structure comprises a two-level network: main clusters, main elements, and sub-elements included in the demographic characteristics group, the residence criteria group, the demand parameters group, the supply parameters group, the residence specifications group, and the alternatives group which representing, in total, the decision and specifying the percentage needed for each housing level. Results of the model showed complete capacity in smoothly addressing complexities and overlapping in the decision structure. The decision structure showed that 52% chose luxury residence, 28% chose middle-class residence, and 19.5% chose the economic residence. Mechanisms of decision making were analyzed; particularly in terms of relationship to demographic characteristics and residence specifications. Also, the importance and impact of demand / supply parameters in reaching decision were analyzed.

Selecting and Purchasing Clothing: The Experience of Visually Impaired People in Hong Kong

2000 ◽  
Vol 94 (1) ◽  
pp. 34-41 ◽  
Author(s):  
Ng Sau Fun Frency ◽  
Hui Chi Leung Patrick ◽  
Choy Lin Foong May
Keyword(s):  
Decision Making ◽  
Hong Kong ◽  
Visually Impaired ◽  
Selection Criteria ◽  
Low Vision ◽  
Visual Impairments ◽  
Decision Making Process ◽  
Relative Importance ◽  
Visually Impaired People ◽  
Impaired People

This study analyzes the decision-making process for selecting and purchasing clothing of 81 people in Hong Kong who are visually impaired. Data were collected through personal interviews. The results show that problems such as unsatisfactory sales services and insufficient clothing information still exist for people with visual impairments (both the group with blindness and the group with low vision), and also reveals that people who are visually impaired have different views on the relative importance of selection criteria for purchasing clothing than do their sighted peers.

Factors influencing cruise vacations: the impact of online reviews and environmental friendliness

2019 ◽  
Vol 74 (3) ◽  
pp. 400-415 ◽  
Author(s):  
Frida Bahja ◽  
Cihan Cobanoglu ◽  
Katerina Berezina ◽  
Carolin Lusby
Keyword(s):  
Decision Making ◽  
Influencing Factors ◽  
Online Reviews ◽  
Influential Factors ◽  
Decision Making Process ◽  
Relative Importance ◽  
Environmental Friendliness ◽  
Content Type ◽  
Cruise Line ◽  
The Impact

Purpose The purpose of the study was to discover the relative importance of influencing factors toward booking a cruise vacation. Based on a review of literature, this study focused on exploring the relative importance of six influential factors in cruise customers’ decision-making process: cruise vacation price, cruise duration, distance from the cruise port, itineraries, environmental friendliness of cruise line and cruise online reviews. Design/methodology/approach The complexity of cruise customers’ decision-making process for involving these six attributes with several levels was examined with choice-based conjoint (CBC) analysis. CBC was selected due to its realistic approach to purchase decisions, in the form of trade-offs. The online survey collected data anonymously. The survey was distributed through Amazon’s Mechanical Turk (Mturk) platform. The sample consisted of 450 cruise customers, who had experienced a cruise vacation before. Findings The findings of the study showed that online reviews were the most influential attribute for cruise customers in their cruise decision, followed very closely by the environmental friendliness of the cruise line. The next influential factor was the duration of the cruise vacation, which was followed by distance from the cruise port, cruise itinerary and cruise vacation price. The best and the worst cruise vacation profiles were generated based on the CBC analysis. Practical implications The findings of this study provide some insights with regard to cruise customers’ importance about influencing factors when deciding on a cruise vacation. Originality/value The research provides insides in understanding the influential factors at the last stage of cruise customers’ decision-making process. In this regard, cruise industry can pay more attention in promoting the attributes of a cruise offer as influential factors. Additionally, the findings of this study contribute to the general knowledge about cruise customers’ decision-making process.

A Product Feature Prioritization-Based Segmentation Model of Consumer Market for Health Drinks

2019 ◽  
Vol 10 (2) ◽  
pp. 70-83
Author(s):  
Chandan Parsad ◽  
Chandra Prakash Chandra ◽  
Shekhar Suman
Keyword(s):  
Decision Making ◽  
Cluster Analysis ◽  
Country Of Origin ◽  
The Internet ◽  
Decision Making Process ◽  
Relative Importance ◽  
Consumer Decision Making ◽  
Consumer Market ◽  
Consumer Decision

This study sets out to identify the various factors of a health drink product that affects the consumer decision-making process. It aims to determine the relative importance connected to multiple aspects of health drink beverages, such as brand, nutrition content, taste, muscle building, brain boosting, price, ingredients, and country of origin. The paper also aims to identify consumer segments by the relative importance consumers give to various attributes of health drinks. Through examining the literature, the researchers identified various attributes of health drinks, which they analyzed empirically using a choice-based conjoint survey conducted with the help of the internet-based software 1000minds. Cluster analysis was also done to identify different consumer segments. The study identified two consumer segments: brand conscious and value conscious. As the name indicates, the brand-conscious segment gives more importance to a trusted brand, followed by nutrition content and price.

INDIVIDUAL AND SOCIAL STRATEGIES TO DEAL WITH IGNORANCE SITUATIONS IN MULTI-PERSON DECISION MAKING

2009 ◽  
Vol 08 (02) ◽  
pp. 313-333 ◽  
Author(s):  
S. ALONSO ◽  
E. HERRERA-VIEDMA ◽  
F. CHICLANA ◽  
F. HERRERA
Keyword(s):  
Decision Making ◽  
Preference Relation ◽  
Individual Preference ◽  
Missing Information ◽  
Social Strategies ◽  
Preference Relations ◽  
Advantages And Disadvantages ◽  
Fuzzy Preference Relations ◽  
Level Of Knowledge ◽  
Individual Strategies

Multi-person decision making problems involve the preferences of some experts about a set of alternatives in order to find the best one. However, sometimes experts might not possess a precise or sufficient level of knowledge of part of the problem and as a consequence that expert might not give all the information that is required. Indeed, this may be the case when the number of alternatives is high and experts are using fuzzy preference relations to represent their preferences. In the literature, incomplete information situations have been studied, and as a result, procedures that are able to compute the missing information of a preference relation have been designed. However, these approaches usually need at least a piece of information about every alternative in the problem in order to be successful in estimating all the missing preference values. In this paper, we address situations in which an expert does not provide any information about a particular alternative, which we call situations of total ignorance. We analyze several strategies to deal with these situations. We classify these strategies into: (i) individual strategies that can be applied to each individual preference relation without taking into account any information from the rest of experts and (ii) social strategies, that is, strategies that make use of the information available from the group of experts. Both individual and social strategies use extra assumptions or knowledge, which could not be directly instantiated in the experts preference relations. We also provide an analysis of the advantages and disadvantages of each one of the strategies presented, and the situations where some of them may be more adequate to be applied than the others.

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