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.     

Ethical leadership and the dual roles of examples

Through the examples they set, leaders do a great deal to shape—for good or for ill—the culture of the organizations in which they serve. Leaders thus serve in a teaching role. But in order to learn how to set positive examples, leaders must also be students who seek to learn what they can from others’ examples. Employing as a jumping-off point a recent high-profile and multi-faceted scandal involving Penn State University and decision makers affiliated with it, this article explores a number of ethical decision making lessons to be learned from that scandal and considers how those lessons can be applied to a variety of decisions faced by corporate leaders. Along the way, the article addresses ways in which common human tendencies impair the quality of thinking and decision making. It also offers ways for improving thinking quality and enhancing the ethical nature of resulting business decisions.     

Integrating an Option-Oriented Attitude Analysis into Investigating the Degree of Stabilities in Conflict Resolution

Despite the influences on one’s thoughts and actions, the attitude has usually been overlooked in conflict analysis. The purpose of this paper is to develop a new systematic methodology for the graph model for conflict resolution that can be employed to study real-world conflict situations and gain enhanced insights. More specifically, the proposed method starts with the development of an expanded option-oriented preference structure that is derived from decision makers’ attitudes toward others. Then based on this attitude-driven preference structure, the general concepts of stabilities are extended to contain the definitions of different degrees of stabilities under attitude. In addition, the proposed method is embedded in a decision support system, called NUAAGMCR, to facilitate the analytical process. Through a detailed case study of the two-stage environmental conflict of post-Fukushima controversy in Japan, the predicted resolutions are demonstrated to be more accurate and stable than those derived by the general stability analysis.     

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.     

The internationalization of small firms: The relationship between the global mindset and firms’ internationalization behavior

Some firms in internationally oriented industries are internationalized while other comparable firms in the same sector or industry do not. Observing this difference in strategic behavior among small firms led us to consider how differences in CEOs’ attitudes, international orientation, and mindset might explain it. Therefore, this study adopts a cognitive perspective on management to explore the formation of the global mindset and the relationship between the global mindset of small-firm decision makers and their firms’ internationalization behavior. A theory-based conceptual model and measurement instrument are developed and—using structural equation modeling—the model is estimated based on empirical data from cross-sectional samples of small Norwegian and Portuguese firms. The study finds: (1) a strong causal relationship between the global mindset and firms’ internationalization behavior; (2) the combination of the findings and substantive theory indicates that the main driver of firms’ internationalization operates through the global mindset. This study also covers the factors that strongly influence the formation of a global mindset, especially the decision makers’ work experience and personal characteristics in terms of propensity to interdisciplinary collaboration, cognitive flexibility, and networking capability. Based on these findings, suggestions are made for policies that can foster the internationalization of small firms.     

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.     

Managing Consistency and Consensus Issues in Group Decision-Making with Self-Confident Additive Preference Relations and Without Feedback: A Nonlinear Optimization Method

Group Decision and Negotiation - Preference relations are one of the most common tools used to represent decision makers’ preferences. Self-confident preference relations, whose preference...     

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.     

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.     

How do MNCs establish their talent pools? Influences on individuals’ likelihood of being labeled as talent

Addressing the research question of what influences the likelihood of an individual being labeled as ‘talent’ in MNCs, this paper seeks to understand the decision processes involved in the identification of MNC-internal talent. We develop a framework suggesting that the decision to include an employee in a corporate talent pool is a two-stage decision process in which mostly experience-based (on-line) performance appraisal evaluations are used as an input in largely cognition-based (off-line) managerial decision making. Consequently, talent pool inclusion is determined not only by performance appraisal evaluations, but also a number of factors that influence the decision making in the second stage of the talent identification process. Using empirical insights from an in-depth case study as illustrations, we identify three such factors—cultural and institutional distance between the locations of a potential member of the talent pool and the decision makers; homophily between the individual and the decision makers; and the network position of the person in question.     

居民旅游影响感知、态度与参与意愿研究 ——以世界文化遗产地为例

以世界文化遗产地洛阳为案例地,以居民旅游影响感知为切入点,采用结构方程模型,构建了世界文化遗产地居民旅游影响感知、态度和参与意愿结构方程模型,并应用AMOS24.0软件对模型进行参数估计和假设检验,研究发现:居民正面旅游影响感知显著正向影响其总体态度和参与意愿,居民负面旅游影响感知显著负向影响其总体态度,但对其参与意愿无显著影响,居民总体态度显著正向影响其参与意愿。     

消费者渠道选择的决策过程演变研究

消费者面临着多样化的渠道选择,企业要有效的管理销售渠道,必须了解消费者渠道选择的决策过程,然而,这是一项具有挑战性的任务,因为消费者的渠道选择随时都可能变化。文章首先基于学习理论解释了消费者渠道选择的决策过程是演变的,然后分析了消费者渠道选择决策过程演变的三个影响因素即:渠道偏好、个人习惯和营销策略,在此基础上构建了消费者渠道选择的决策过程演变理论模型,并进行修正,最后提出了在管理上的三点启示。     

Vision (im)possible? The effects of in-store signage on customers’ visual attention

We used two eye-tracking field experiments to investigate the extent to which in-store signage is used during navigation and decision making, and how the viewing of signage influences customers’ visual attention and choice behavior. One hundred and seventy-five customers at a grocery store were exposed to signage stimuli while carrying out predefined shopping tasks. Experiment 1 shows that attention toward signage is affected by customers’ levels of store familiarity and in-store search stage (navigation vs. decision making). Experiment 2 demonstrates that signage has a considerable impact on the direction and magnitude of customers’ visual attention during decision making.     

Moving the Needle: Making a Contribution When the Easy Questions Have Been Answered

Today’s competitive and research realities are changing. That is, the easy questions have been answered and the easy research has been done. We therefore need to reevaluate our approach to research so that we can help decision makers resolve tomorrow’s challenges. Specifically, to provide nuanced insight, we need to begin to employ multimethod, metaparadigmatic, and longitudinal research more robustly. Of course, given the inherent cost—both time and money—associated with such research, we may need to seek more collaborative research opportunities and reconsider how research contribution is measured. These efforts will help us stay relevant and move the needle forward in an age where decision makers need greater understanding to create value and achieve differential performance.     

Added distance,entry mode choice,and the moderating effect of experience: The case of British MNEs in emerging markets

Distance has been viewed as a crucial determinant of the internationalization strategy of firms. Nonetheless, in recent years, there has been considerable debate with regards to, first, the type of distance considered most important when it comes to explaining the internationalization strategy of firms, and, second, how distance should be measured. In our study, we argue that a developed market multinational enterprise (DMNE)’s decision regarding the mode of entry into an emerging market (EM) will be affected by the geographic and administrative distance between the locations in which the MNE has previously held operations. Drawing our arguments on transaction costs economics (TCE) and Internalization Theory, we propose that, for low and high geographic and administrative distance, DMNEs will opt to enter EMs via a wholly owned subsidiary, while for moderate levels of distance via a joint venture. Furthermore, we argue that DMNEs’ previous international experience in EMs will have a positive effect on the suggested U‐shaped relationship, alleviating the negative effects associated with the coordination and knowledge dissipation costs incurred as a result of the level of distance. Our study contributes to existing literature both theoretically—notably via the examination of under‐researched facets of distance on entry mode choice—and also methodologically—through the adoption of a novel methodological approach in measuring distance. We test our hypotheses against a data set comprising 316 entries of FTSE 250 British MNEs in 39 EMs spanning the period 1971–2010.     

European Union Import Quotas on Chinese Textile and Clothing Exports in 2005: A Panic-Driven Commission or Rational Explanations?

Based upon a narrative policy analysis, the aim of this paper is to answer two questions: (1) Why did the EU re-introduce import quotas on Chinese textile and clothing exports in 2005 after promising to lift them? (2) Why did the EU (partly) abolish these quotas a couple of months later? The rational choice inspired model put forward in this paper assumes that the EU’s political system is a partial asymmetrical political equilibrium in which decisions taken by decision makers are a product of a supply and demand. By using this model, it is explained how the lifting of quotas on Chinese textile and clothing exports to WTO members on 1 January, 2005 and the political situation surrounding the French referendum on the Constitutional Treaty on 29 May, 2005, constitute key events in the decision making process.     

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.     

On-line group decision support by preference programming in traffic planning

Preference programming is a decision support technique which allows decision makers to give preference statements of weight ratios in terms of intervals instead of single numbers in a value tree. Individual preferences, based on single number statements, can be combined into an interval model, and the negotiation proceeds by focusing on decreasing the width of the intervals. The preference programming approach was evaluated with a realistic traffic planning problem by using the HIPRE 3+ Group Link software. The results from nine test groups indicate that preference programming is an operational group decision support technique which initiates negotiations and efficiently directs the discussion towards issues which are relevant in reaching a consensus.     

Biased Tariff Choices: Exploring Role Effects in B to B Settings

Purpose: The authors examine whether motivational and cognitive causes that explain tariff choice biases in business-to-consumer (B2C) settings also hold in business-to-business (B2B) markets. Opposed to prior B2C research that is dominated by individual decision making, the study proposes role effects in buying centers influence the exploration of tariff choice and tariff choice biases in B2B settings.

Originality: A rich body of research into biased tariff choices, especially flat-rate biases, exists for B2C markets, yet a dearth of research marks tariff choice behavior in B2B settings. This study is the first one on tariff choice especially dedicated to B2B settings.

Methodology and Findings: The findings from transactional and survey data pertaining to a mobile phone service provider reveal that tariff choice biases also occur in B2B markets. Seventy-nine percent of all tariff choices among decision makers are biased; 73 percent are due to the flat-rate bias. The (mis-)judgment effect, the insurance effect, and the convenience effect significantly influence tariff choice and the flat-rate bias.

Research Implications: The authors provide a flowchart of strategies that structures the practical implications. Based on this flowchart, they propose that mobile phone service providers should undertake a flat-rate preference strategy, because B2B customers may accept the flat-rate bias to profit from the insurance effect. The authors argue that following a flat-rate preference strategy is advisable, because turnover can be protected entirely while the vulnerability of that strategy is low.     

Multiple‐criteria approach to ranking medical tourism destinations

The characteristics of the medical tourism industry are described. Multiple criteria are used to evaluate several popular medical tourism destinations. The analytic hierarchy process (AHP) is shown to be the appropriate methodology for evaluating and ranking medical tourism destinations because it can incorporate input from multiple decision makers as well as handle both tangible and intangible criteria. The ranking of medical tourism destinations will enable administrators at companies that specialize in arranging the logistics of obtaining medical care at foreign facilities to better advise patients regarding their choice of medical tourism destinations. This will result in patients who are more satisfied with their choice of a foreign medical facility. © 2011 Wiley Periodicals, Inc.