A Multiagent Approach for Collective Decision Making in Knowledge Management

In this paper we propose an argumentative multiagent model based on a mediator agent in order to automate the resolution of conflicts between decision makers for identifying knowledge that need to be capitalized and that we call “crucial knowledge”. We follow both an argumentative approach and a multi-agent system based on a mediator agent. This new approach allows the mediator agent to elicit preference of decision makers which can be different or even contradictory while exploiting and managing their multiple points of view to identify crucial knowledge. Concrete experiments have been conducted on real data from an automotive company and on randomly generated data. We have observed that a non-argumentative approach is more sensitive to the variation of the number of knowledge than an argumentative one. Indeed, the classification results using the multiagent system are consistent with classifications of human decision makers in nearly 80% of studied cases.     

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.     

Using the Analytic Hierarchy Process as a Two-phase Integrated Decision Approach for Large Nominal Groups

When decision makers who comprise a large nominal group face an unstructured decision problem and no simultaneous interactive communications are available, problem identification and consensus building are difficult, if not impossible. Few tools are available to assist decision makers in this situation. The Analytic Hierarchy Process (AHP) has typically been used to evaluate a set of alternatives after a decision problem has been structured as a hierarchy with various levels of criteria above the alternatives. With a group of decision makers, AHP has been used to evaluate those alternatives either by consensus building or by combining judgments or priorities using the geometric mean to aggregate their preferences. In this paper, we extend the use of AHP to a situation involving a large nominal group of dispersed decision makers where the entire hierarchy is not defined at the outset. In particular, we use the AHP as an integrative approach to identify the priorities of the various criteria and then use those priorities to screen and consolidate a large set of potential alternatives. This results in considering a reduced set of alternatives that will be affected by the more important criteria. The consolidated set of alternatives is evaluated by each individual in the group using AHP, combined using the geometric mean, and the results are synthesized to obtain the overall priorities of the alternatives. The approach is demonstrated and evaluated in a case study to select an alunmi anniversary gift to the U.S. Coast Guard Academy with a large nominal group of decision-makers dispersed throughout the United States.     

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.     

I'll have what she's having: (Social) Perceptions of default options and implications for marketing and decision making

The power that default options have in shaping choice has been well established, yet relatively little is known about how decision makers experience and interpret such preselected options. Research suggests that individuals assume defaults represent a recommended course of action, yet the basis for this recommendation is unclear. Across two experimental studies, we explored consumer theories of default recommendations, examining spontaneous and experimentally manipulated perceptions of the basis of the default, and the impact on decision making across different contexts. Evidence across diverse populations and tasks shows that options were retained to a greater extent when represented as the default, consistent with classic default effects. Furthermore, a significant default effect emerged when the decision context was framed as complex. In line with research on social influence, defaults were most effective when they were presumed to reflect the most popular option (regardless of context). Interestingly, participants rated defaults as being more likely to represent the most popular option, regardless of decision context or default explanation provided to them. These findings highlight the importance of understanding the contexts in which default choices are relied upon and how those defaults are perceived by decision makers.     

Far from Eye,Far from Heart: Analysis of Graphical Decision Aids in Electronic Negotiation Support

Information is probably the most relevant element upon which decision makers base their judgments. Empirical evidence has demonstrated that the way information is presented inevitably influences human cognition and, consequently, the (electronically supported) decision making process. Presently, we lack an analytical approach of studying graphical decision aids implemented in electronic negotiation support systems (NSS). Therefore, the aim of this paper is to identify relevant factors for graphical decision aids in NSS, which provides negotiators with an analytical support approach. Secondly, based on a developed framework, we intend to categorize and analyze existing and newly developed graphical decision aids. Last, we develop research propositions showing avenues for future investigations in the field of graphical decision aids.     

An Integrated Group Decision-Making Method Dealing with Fuzzy Preferences for Alternatives and Individual Judgments for Selection Criteria

Organizations often require decisions to be made by a group, and decision makers often have fuzzy preferences for alternatives and individual judgments when attempting to reach an optimal solution. In order to deal with the fuzziness of preference of decision makers, this paper proposes an integrated fuzzy group decision-making method. This method allows group members to express fuzzy preferences for alternatives and individual judgments for solution selection criteria. It also allowed for the weighting of group members. The method then aggregates these elements into a compromise group decision which is the most acceptable for the group as a whole. This method has been implemented and tested. An example is presented to illustrate the method.     

Group Decision Making with Dispersion in the Analytic Hierarchy Process

With group judgments in the context of the Analytic Hierarchy Process (AHP) one would hope for broad consensus among the decision makers. However, in practice this will not always be the case, and significant dispersion may exist among the judgments. Too much dispersion violates the principle of Pareto Optimality at the comparison level and/or matrix level, and if this happens, then the group may be homogenous in some comparisons and heterogeneous in others. The question then arises as to what would be an appropriate aggregation scheme when a consensus cannot be reached and the decision makers are either unwilling or unable to revise their judgments. In particular, the traditional aggregation via the geometric mean has been shown to be inappropriate in such situations. In this paper, we propose a new method for aggregating judgments when the raw geometric mean cannot be used. Our work is motivated by a supply chain problem of managing spare parts in the nuclear power generation sector and can be applied whenever the AHP is used with judgments from multiple decision makers. The method makes use of principal components analysis (PCA) to combine the judgments into one aggregated value for each pairwise comparison. We show that this approach is equivalent to using a weighted geometric mean with the weights obtained from the PCA.     

Upstream social marketing strategy: An integrated marketing communications approach

This article provides an organized approach for managers to develop social marketing strategies that target upstream decision and policy makers. A conceptual application model and five-stage process is presented for an upstream social marketing strategy based on integrated marketing communications (IMC). IMC concepts are described in the context of social marketing, as well as specific stages for creating an IMC social marketing strategy; these include target audience research and determination, channel selection and integration, strategic message creation, and measurement and control. A central and novel feature of the IMC social marketing strategy model is the simultaneous targeting of an upstream decision maker and influential peripheral (upstream) audiences in order to triangulate and increase campaign effectiveness. An IMC approach to upstream social marketing ensures consistent, persuasive messages specifically crafted for the selected target audiences and coordinated through precise channels to maximize impact. This multi-channel, multi-audience approach to message creation and channel selection produces synergies that increase the potential to influence an upstream decision/policy maker.     

Electronic Meetings and Intense Group Conflict: Effects of a Policy-Modeling Performance Support System and an Audio Communication Support System on Satisfaction and Agreement

Ad-hoc decision teams were used to examine the effects of an electronic meeting system (EMS) on group satisfaction and agreement. The decision task provoked intense conflict of values. The EMS had two core features - a policy-modeling group performance support system (incorporating structured decision methods and computer-supported cognitive feedback using Multi-Attribute Utility Analysis and Social Judgment Analysis), and an audio-based group communication support system (allowed dispersed members to communicate by voice). Policy groups reached higher agreement than conventional decision-making groups, apparently due primarily to the structure for cognitive-conflict tasks that was imposed on group discussion rather than computer-supported cognitive feedback displays. Audio groups were more satisfied with the conflict process than face-to-face groups. Decision agreement was equivalent across the two media. These audio effects for a highly equivocal task represent a further challenge to media richness theory.     

Reconceptualizing Intuition in Supply Chain Management

Studies in the psychology and management disciplines suggest that intuition might be able to complement rationality as an effective decision‐making approach. Yet, a review of how decision makers in supply chain contexts can benefit from using their intuition demonstrates that our discipline lacks a unifying conceptualization and operationalization of the complex intuition construct. Our study addresses this opportunity by following an extensive mixed‐method approach, in which we first use qualitative content analysis and quantitative testing to conceptualize intuition as a multidimensional construct consisting of experience‐based, emotional, and automatic‐processing dimensions. We then operationalize and empirically assess multidimensionality using a multiple study format, and perform an inferential analysis to begin to assess nomological validity. Our reconceptualization of intuition allows for a richer understanding of this key facet of supply chain management decision making, and our accompanying scale provides evidence of its multidimensionality and efficacy in making decisions in the uncertain and time‐constrained environments that supply chain managers often face.     

Systems analysis: Aid to decision making: A method of investigation

Decision makers today face constraints that did not exist in the early part of this century-constraints related to labor, consumerism, and ecology, for example. The decision making process is also complicated by the number of alternatives available to attain a certain objective. This article describes the systems analysis approach to decision making and explains why it is needed. The approach involves nine basic steps and, finally, identification of the best solution by considering the facts, assumptions, and uncertainties for the problem. Systems analysis is not a panacea for the decision maker; it is a method of investigating, not solving.     

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.     

A Mixed-Data Evaluation in Group TOPSIS with Differentiated Decision Power

This main objective of this paper is to provide decision support for mixed data in group Technique for Order Preference by Similarity to Idea Solution (TOPSIS) with differentiated decision power. We use a signum function to compare the ordinal performance of alternatives on any qualitative criterion, or the partial information provided by decision makers. The proposed process for ordinal information is uniformly coherent with the traditional TOPSIS steps, preserving the characteristic of distance-based utilities. Ordinal weights are also considered herein, and the decision power of the group members is formulated by their weights under an agreement in the group. Two examples demonstrate that the proposed approach has some benefits and achieves robustness with two types of sensitivity analyses. Some discussions and their limitations to the approach are also provided.     

A Consensus Based Method for Multi-criteria Group Decision Making Under Uncertain Linguistic Setting

A two-stage (a consensus process and a selection process) approach is proposed to solve multi-criteria group decision making problems under an uncertain linguistic environment. Since achieving general consensus is a desirable goal in group decision making, the proposed method first develops a consensus reaching process in order to reach a satisfactory consensus. Based on the partial order of uncertain linguistic variables, the superiority index of one alternative over another for a given criterion and the overall superiority index of one alternative are defined. Then a procedure based on the superiority indices is described to select the best alternative(s). Given the decision makers’ desire for a consensus solution, a common framework based on the previous consensus model and the selection process is presented. Finally, a practical application is demonstrated to show the effectiveness of the proposed method.     

Roadmapping: (Missed) opportunities to overcome strategic challenges

Firms face various critical challenges when pursuing a coherent course of action that seeks to create value for the long term. They are required to balance myopic and hyperopic behavior. They must ensure coordination, adopt a holistic view of various functional perspectives, and foster commitment among key decision makers. They need to develop a credible and compelling line of reasoning that employees understand and can act on. Adopting the perspective of roadmapping as a strategy tool, this article advances the argument that roadmapping is especially suitable in helping firms to surmount these three critical strategic challenges. This article distills three core features of the roadmap: graphical representation, multi-disciplinary integration, and scaling. It then reviews the three critical strategic challenges and shows how roadmapping can help to overcome each of these. Following this explanation, the article describes ten key principles for effective strategic roadmapping that support firms in obtaining the strategic benefits promised. The article concludes with additional insights for practice with the intent of encouraging further exploitation of roadmapping’s potential.     

A New Framework Integrating Environmental Effects into Technology Evaluation

This study aims to propose a framework considering both economic issues and environmental effects in technology evaluation in order to provide firms’ decision makers a useful reference in adopting technologies that will enable them to fulfill corporate social responsibilities and get competitive advantages at the same time. Recently, the demands for technology evaluation have increased with the flourishing development of technology licensing, technology transaction or joint venture on the one hand and with the pressing needs of environmental protection for human beings’ sustainable development on the other hand. Under such conditions, it thus goes without saying that firms’ decision makers are propelled to take into account both economic benefits and environmental effects in evaluating technologies by choosing low or nonpolluting technologies for manufacturing products. Although technology evaluation is not a new and emerging subject currently besetting scholars in the field of management, previous research on this topic has unwittingly left behind the pressing issue of environmental effects. Based on this observation, this study purports to develop a new framework for technology evaluation by taking both economic benefits and environmental perspectives into consideration. In it, we seek to demonstrate that our proposed framework will not only be a workable model but also can serve as a useful point of reference for technology appraisers and firms’ decision makers.     

Human resource outsourcing: Market and operating performance effects of administrative HR functions

Using event study methodology and two-stage regression analysis on a sample of firms announcing human resource outsourcing (HRO) contracts, this study tests the association between administrative HRO and firm-level capital market and long run operating performance, with archival financial data controlling for endogeneity and outsourcing decision optimality. The results demonstrate that the equity capital market responds positively to client firms announcing administrative HRO, particularly service firms and those outsourcing transactional HR tasks. Additional statistical analysis shows that suboptimal outsourcing is negatively associated with long run operating performance measured as return on assets and operating return on assets. This study contributes to outsourcing literature by more precisely quantifying outsourcing performance through archival financial data and employing capital market empirical tests. Further, it controls for outsourcing decision optimality in examining long run operating performance effects. This research focuses on HR, a critical function within the firm and value enhancing to the firm.     

Coercion,Guidance and Mercifulness: The Different Influences of Ethics Programs on Decision-Making

The development of an ethics program is a method frequently used for organising responsible behaviour within organisations. For such a program, certain preconditions have to be created in the structure, culture and strategy. In this organisational context, managers have to take their decisions in a responsible way. This process of decision-making, embedded in an ethics program, is the main focus of this article. Ethics programs often influence decision-making in a formal way; certain norms and types of behaviour are formalised and controlled within the organisation. Subsequently, individual managers have to infer the meaning of responsible behaviour from the demands laid down in the ethics program. Such a formal ethics program has some important advantages but the dangers of such an approach are often ignored. This article discusses both the advantages and disadvantages of a formal ethics program and adds two alternative ways of stimulating responsible behaviour in the organisation. In a monological approach the reflections of the decision makers on their own values are central in differentiating between right and wrong. In a dialogical approach, the communications between decision makers and other stakeholders involved are the foundations for determining a responsible solution. Because each approach is appropriate for certain issues, a well-chosen combination is justified. Such an ethics program should be strict on certain issues but leave room for reflection and interaction on other issues.