Strength of Preference in the Graph Model for Conflict Resolution

A new preference structure that includes a simple relative measure of strength of preference is developed and integrated into some of the stability definitions for the graph model for conflict resolution. In this triplet preference structure, a decision-maker may greatly prefer or prefer one state or scenario to another, or may be indifferent between them. Four stability definitions (solution concepts), Nash stability (R), general metarationality (GMR), symmetric metarationality (SMR), and sequential stability (SEQ), are extended to include strong and weak stabilities for the case of conflicts with two decision makers. Theorems that clarify the interrelationships of the strong and weak versions of these solution concepts are presented. The application of this new preference structure and the associated solution concepts is demonstrated in an environmental conflict model, called the Sustainable Development Conflict. This case shows that valuable strategic insights are gained when strength of preference is integrated into the stability analysis.     

A Study on Aggregation of TOPSIS Ideal Solutions for Group Decision-Making

The technique for order preference by similarity to ideal solution (TOPSIS) has become a popular multi-criteria decision making (MCDM) technique, since it has a comprehensible theoretical structure and is able to provide an exact model for decision making. For the use of TOPSIS in group decisions, the common approaches in aggregating individual decision makers’ judgments are the geometric and the arithmetic mean methods, although these are too intuitive and do not consider either preference levels or preference priorities among alternatives for individual decision makers. In this paper, a TOPSIS group decision aggregation model is proposed in which the construction consists of three stages: (1) The weight differences are calculated first as the degrees of preferences among different alternatives for each decision maker; (2) The alternative priorities are then derived, and the highest one can be denoted as the degree to which a decision maker wants his most favorite alternative to be chosen; (3) The group ideal solutions approach in TOPSIS is used for the aggregation of similarities obtained from different decision makers. A comparative analysis is performed, and the proposed aggregation model seems to be more satisfactory than the traditional aggregation model for solving compromise-oriented decision problems.     

Integrating Uncertain Preferences into Status Quo Analysis with Applications to an Environmental Conflict

An algorithm is put forward to conduct status quo analysis when preference uncertainty exists for at least one decision maker (DM) in a strategic conflict. This research integrates into a unified framework two recent expansions of the graph model for conflict resolution, preference uncertainty and status quo analysis. Both of these developments enhance the applicability of the graph model, preference uncertainty by accommodating uncertainty in DMs' preferences and status quo analysis by addressing the dynamics of conflict. The combination of preference uncertainty and status quo analysis improves the flexibility of the graph model in both modelling and analysis. A new model of an environmental conflict is analyzed to demonstrate how the new algorithm can be applied.     

Conjoint models of family decision making

The objective of this research is to develop viable approaches to modeling joint decisions. Using conjoint-analysis-type preference data, three methods are developed to combine individual preferences to approximate joint preferences and predict joint decisions. The first is an equal weighting model, which is a simple average of individual members' part-worth utilities. The second is a relative influence model, which combines individual utility functions using a measure of derived influence. The third is a conflict resolution model, which combines utility functions using a measure of conflict. In addition to these three combination models, individual member models and a joint model based on the joint preferences are available.The application area in which the models are operationalized is family decision making. The decision involves choice of a job by MBA students and spouses at a major private university. The models are first calibrated using preference data on hypothetical jobs from MBAs, spouses, and couples and then evaluated on their ability to predict the actual job chosen.     

存在冲突证据下的证据推理多属性决策方法

针对传统的证据推理方法对证据冲突处理能力的不足,在引入冲突参数的基础上提 出了新的证据推理算法,通过证明,新算法完全满足证据合成的4个公理。基于方案集间冲 突参数对决策结果影响差异最小化原则,提出了新的冲突参数优化模型,最后通过实例仿真 ,论证了新算法对解决证据间存在冲突时的多属性决策问题的可行性和优越性。     

Selection of a Representative Value Function for Robust Ordinal Regression in Group Decision Making

In this paper, we introduce the concept of a representative value function in a group decision context. We extend recently proposed methods UTA^GMS-GROUP and UTADIS^GMS-GROUP with selection of a compromise and collective preference model which aggregates preferences of several decision makers (DMs) and represents all instances of preference models compatible with preference information elicited from DMs. The representative value function is built on results of robust ordinal regression, so its representativeness can be interpreted in terms of robustness concern. We propose a few procedures designed for multiple criteria ranking, choice, and sorting problems. The use of these procedures is conditioned by both satisfying different degrees of consistency of the preference information provided by all DMs, as well as by some properties of particular decision making situations. The representative value function is intended to help the DMs to understand the robust results, and to provide them with a compromise result in case of conflict between the DMs.     

Compatibility Analysis of Intuitionistic Fuzzy Preference Relations in Group Decision Making

Compatibility analysis is an efficient and important tool used to measure the consensus of opinions within a given group of individuals. In this paper, we give a compatibility measure between intuitionistic preference values and a compatibility measure between intuitionistic preference relations, respectively, and study their properties. It is shown that each individual intuitionistic preference relation and the collective intuitionistic preference relation is perfectly compatible if and only if all the individual intuitionistic preference relations are perfectly compatible. Based on the compatibility measures, a consensus reaching procedure in group decision making with intuitionistic preference relations is developed, and a method for comparing intuitionistic fuzzy values is pointed out, by which the considered objects are ranked and selected. In addition, we extend the developed measures, procedure and method to accommodate group decision making situations with interval-valued intuitionistic preference relations. Numerical analysis on our results through an illustrative example is also carried out.     

Consumer motivation for the decision to boycott: The social dilemma

This study suggests a rational framework to explain consumers’ decision to boycott. We proposed an instrumental boycott framework based on rational response to the offending behaviour of a target company. The hypotheses embedded within the research model are empirically evaluated. The data were collected by questionnaire survey, and structural equation modelling was utilized for data analysis. The results show that social factors (message credibility, expected overall participation and perceived boycott effectiveness) generate motivations for consumers’ boycott decisions. In addition, it is identified that these factors increase consumers’ perceived likelihood of boycott success. Further, it is also found that consumers' perceived likelihood of boycott success positively affect their boycott decision via the possibility of changing a target company's offending behavior and unwillingness to purchase the target company's products. The results of this study explain consumers’ instrumental boycott decision‐making process in terms of social dilemma. Further, this study provides practical contributions for understanding consumers’ rational boycott behaviour. Specific implications for marketing managers and boycott organizations are outlined in the general discussion. Suggestions for future research are also presented in the conclusion.     

Deriving Weights from Interval Multiplicative Preference Relations in Group Decision Making

In this article, we investigate group decision making problems with interval multiplicative preference relations (including complete interval multiplicative preference relations and incomplete interval multiplicative preference relations). On the basis of the number of judgments and the consistency degree of each interval multiplicative preference relation, we first give a combined weighting method to derive the weights of decision makers. Then, we establish two linear programming models to derive the weight intervals of alternatives from all individual consistent interval multiplicative preference relations and utilize the continuous ordered weighted averaging operator or the continuous ordered weighted geometric operator to aggregate all the values in each weight interval. In addition, we establish a more general model to check the consistency of all individual interval multiplicative preference relations. In the cases where the optimal objective value of the model is not zero, we can get the optimal weights of alternatives directly, and then utilize these optimal weights and the optimal deviation values derived from the model to construct consistent interval multiplicative preference relations. Furthermore, we discuss some special cases of the established models and illustrate our models with a practical example.     

A Hierarchical Clustering Approach Based on Three-Dimensional Gray Relational Analysis for Clustering a Large Group of Decision Makers with Double Information

Two types of information, collectively referred to as double information, are usually required in management decision-making. The first is preference information expressed in a judgment matrix. The second is reference information expressed in a multi-attribute decision matrix. In this paper, we investigate large-scale group clustering problems with double information in group decision-making. We first establish a novel three-dimensional gray correlation degree index, which integrates the alternative decision-making vector, index vector and alternative preference vector, to fully excavate the correlation between decision makers with double information. We then develop a new clustering procedure combining three-dimensional gray relational analysis and the concept of hierarchical clustering. Moreover, a model for determining clustering centers is established on the basis of the maximum gray correlation degree within each cluster and minimum gray correlation degree among clusters. A heuristic algorithm for the model to identify the core decision maker in each cluster is proposed. Finally, we illustrate the applications of the developed procedures with a practical case. The rationality of the proposed method is demonstrated by comparing results with results obtained using other methods, including the traditional gray clustering method and hierarchical clustering method with single information; i.e., preference information or reference information.     

Do family members agree on family purchase decision? – an empirical study among families in Hong Kong

Family decision making is one of the most important consumer decisions. It is complicated because all family members can be involved in the decision‐making process. The current study examined the impact of perceived buying preferences of individual family member on perceived family buying preferences. A new family decision‐making model with family members’ buying preference is proposed based on resources theory, social learning theory and family system theory. It is found that there is a synergy effect in a family decision‐making process. The synergy effect is expressed as positive correlations between individual family members buying preferences. Quota sampling was adopted to collect primary data in Hong Kong using triadic approach. Managerial implications and future research directions are suggested.     

Consumer Data Analysis and Its Managerial Application for the Grocery Industry

Consumer data is collected to understand the heterogeneity of consumer behavior and store competition in grocery shopping. Marketing research techniques are used to analyze consumers’ decision processes and their preference models. Initial modeling results are aggregated to search for substantial clustering patters. The demographic profiles are also examined for clustering interpretations. The derived research results can assist grocery industry to better understand its customers and the competition within the industry. Also, Consumers’ perceptions of competing stores are collected to create perceptual maps. Strategic analysis is conducted by studying the relative positions of competing stores.     

Cultural values,emotional intelligence,and conflict handling styles: A global study

While previous research has identified cultural values and emotional intelligence as central determinants of conflict handling styles, little is known about the mechanism through which cultural values impact individuals’ preferences for specific conflict handling styles. Based on a multinational dataset including 1527 individuals from ten different cultural clusters, the current study aims to integrate these two literature streams by examining the influence of cultural values on conflict handling styles through emotional intelligence. The results of structural equation modeling and mediation analysis show that in particular uncertainty avoidance and long-term orientation influence preferences for the conflict handling styles of compromising, obliging, and integrating through emotional intelligence. Furthermore, we find that collectivism has a direct negative effect on the preference for a dominating style and that power distance has a direct positive effect on the preference for an avoiding and a dominating style. Our study contributes to a more comprehensive and more integrative understanding of earlier research on the role of culture and emotional intelligence in conflict handling.     

A Calibrated Group Decision Process

In practice most organisational decisions are made by groups that bring into the problem multiple perspectives, both complementary and contradictory. When having a group of decision makers, usually individuals’ preferences are either led to consensus or are aggregated with the use of some function like the median, the arithmetic or geometric mean. We focus in the second case, where individual’s preferences need to be aggregated. Our approach is based on the fact that when two decision makers are asked to give their preference between a pair of criteria using a specific scale, it is possible that they will give slightly different answers, even when they actually have the same opinion. This difference will not affect the case of a single decision maker, as it will be consistent throughout the whole process. However, it can affect a group decision when the values will be used as an input for the aggregation function. A novel approach is presented that enhances group decision making through a group calibration process. The proposed process adjusts individuals’ preferences based on their answers on a set of standardized questions prior to the aggregation phase. The method focuses The whole concept is applied to the group analytical network process method and it is illustrated through a telecommunications project case. The decision under examination concerns the selection of the right place for deploying a new telecom service of a multinational-based telecommunications company where a group of geographically dispersed decision makers form an ad-hoc virtual team in order to select the location for a new technical support centre.     

The impact of brand equity on brand preference and purchase intentions in the service industries

The antecedents of brand equity are considered to be brand attitude and brand image, and the consequences of brand equity are considered to be brand preference and purchase intentions. This study concentrates on service brands, selecting 18 from 3 service categories. A structural equation model is presented. Not only does it show a good fit with the research constructs but also the relationships between brand image and brand equity, and brand attitude and brand equity. The impact of brand equity on customer preference and purchase intentions is confirmed as well, which tends to validate the proposed research framework.     

Generalized Ordered Weighted Reference Dependent Utility Aggregation Operators and Their Applications to Group Decision-Making

To quantify the influence of decision makers’ psychological factors on the group decision process, this paper develops a new class of aggregation operators based on reference-dependent utility functions (RUs) in multi-attribute group decision analysis. RUs include S-shaped RU and non-S-shaped RU. Each RU affords a framework where the psychological factors explicitly enter the decision problem via the basic utility function, reference point and loss aversion coefficient. Under the general framework, we derive a generalized ordered weighted S-shaped RU proportional averaging (GOSP) operator and a generalized ordered weighted non-S-shaped RU proportional averaging (GONSP) operator, respectively. The GOSP operator implies the risk attitude of the DM for relative losses is risk-seeking, while GONSP operator indicates the risk attitude in this case is risk-averse. As a special case, GONSP operator can degenerate into GOWPA operator which means that the attitude of the DM is risk-neutral. Each operator satisfies the desirable properties of general operator, i.e., monotonicity, commutativity, idempotency and boundedness. Furthermore, we consider hyperbolic absolute risk aversion (HARA) function as the basic utility function, and define an S-shaped HARA and a non-S-shaped HARA utility functions. Based on the two new RUs, we propose GOSP–HARA operator and GONSP–HARA operator. Every operator covers many existing aggregation operators. To ascertain weights of such operators, the paper builds an attribute-deviation weight model and a DMs-deviation weight model. Based on these RU operators and weight models, an approach is addressed for solving multiple attribute group decision-making problem. At last, an example is provided to show the feasible of our approach.     

Consensus Measure with Multi-stage Fluctuation Utility Based on China’s Urban Demolition Negotiation

Utility functions are often used to reflect decision makers’ (DMs’) preferences. They have the following two merits: one refers to the representation of the DM’s utility (satisfaction) level, the other one to the measuring of the consensus level in a negotiation process. Taking the background of China’s urban house demolition, a new kind of consensus model is established by using different types of multi-stage fluctuation utility functions, such as concave, convex, S-shaped, reversed S-shaped, reversed U-shaped as well as their combinations, to reveal negotiators’ dynamic physiological preferences and consensus level. Moreover, the effects of the decision-making budget and the individual compensation tolerance on the consensus level are also discussed in this paper. Compared with previous research, the proposed model takes both the negotiation cost and DM’s preference structure into consideration, and most importantly, it is computational less complex.     

The impact of risk perceptions on the attitude toward multi-channel technologies

ABSTRACT

Several studies show that retailers experience favorable outcomes if consumers use multiple channels. Thus, retailers aim to encourage consumers to do so in a convenient way by offering multi-channel technologies (MCTs). However, not much is known about what affects a positive attitude toward such technologies. Our study investigates how different risk perceptions influence the attitude toward specific MCTs in comparison (check and reserve, click and collect, availability check). Moreover, we examine whether the customer’s general purchase channel preference moderates these effects. Results show that three risk dimensions have significant impacts on the attitude toward MCTs. These effects are generally worst for click and collect, as the negative effects (product quality and data risk) are highest, while the positive effect (product availability risk) is lowest, compared to the other two MCTs. Additionally, we generally find that the more a customer prefers buying via the online channel, the weaker the effects of the risk dimensions on the attitude are. Our findings provide implications on how to improve consumers’ attitudes toward the selected MCTs by influencing their perceptions of different risk dimensions.     

Dazing Diversity: Investigating the Determinants and Consequences of Decision Paralysis

This article makes new contributions to the assessment of negative effects on consumer choice behavior due to high product variety by (1) developing a holistic framework to identify the determinants and, for the first time, consequences of decision paralysis; (2) introducing a novel construct, namely, tendencies toward paralysis, that refers to the extent of decision makers’ preference (a) to maintain the status quo, (b) to omit, and/or (c) to delay choice, as well as providing an appropriate measurement model incorporating these three dimensions of decision paralysis that previously have been analyzed only separately; and (3) analyzing potential moderating effects of decision makers’ predisposition toward maximizing on the proposed model. The developed structural equation model as well as the conceptualization and operationalization of the novel construct are verified using data from the German cellular phone market. The model constructs of preference uncertainty and anticipated regret are evidenced to be the fundamental drivers of the formation of tendencies toward paralysis. In this context, the characteristics of variety under consideration—number, alignability, and complexity of alternatives—turn out to be appropriate parameters in avoiding decision paralysis. Moreover, a significant negative relationship between tendencies toward paralysis and subsequent customer satisfaction points out the importance of these findings for future research and business practice.     

Multiple Criteria Assessment of Insulating Materials with a Group Decision Framework Incorporating Outranking Preference Model and Characteristic Class Profiles

We present a group decision making framework for evaluating sustainability of the insulating materials. We tested thirteen materials on a model that was applied to retrofit a traditional rural building through roof’s insulation. To evaluate the materials from the socio-economic and environmental viewpoints, we combined life cycle costing and assessment with an adaptive comfort evaluation. In this way, the performances of each coating material were measured in terms of an incurred reduction of costs and consumption of resources, maintenance of the cultural and historic significance of buildings, and a guaranteed indoor thermal comfort. The comprehensive assessment of the materials involved their assignment to one of the three preference-ordered sustainability classes. For this purpose, we used a multiple criteria decision analysis approach that accounted for preferences of a few tens of rural buildings’ owners. The proposed methodological framework incorporated an outranking-based preference model to compare the insulating materials with the characteristic class profiles while using the weights derived from the revised Simos procedure. The initial sorting recommendation for each material was validated against the outcomes of robustness analysis that combined the preferences of individual stakeholders either at the output or at the input level. The analysis revealed that the most favorable materials in terms of their overall sustainability were glass wool, hemp fibres, kenaf fibres, polystyrene foam, polyurethane, and rock wool.