Linking Disjoint Supermatrices and Criteria Clusters

An axiom of the Analytic Network Process (ANP) requires the elements being considered to be strongly connected in order to obtain a meaningful priority vector. A simple example demonstrates the issues that can arise when a decision contains disjoint clusters within the Supermatrix. From the example it can be observed that the necessary information to complete additional linking pin comparisons would have already been collected; and by performing linking pin comparisons a decision maker can convert a disjoint Supermatrix into a strongly connected Supermatrix. The linking process is summarized in five steps and provided in the general form. This linking comparison methodology exploits the fundamental advantages of pairwise comparisons and can also be used to weight the criteria clusters within a decision network. Linking pin comparisons performed at the level of a criterion of a single alternative with respect to another criterion of that same alternative can be used to obtain the criteria cluster weights. Linking pin comparisons at this level can reduce the decision maker's cognitive burden in comparison to totality comparisons. The ability to strongly connect an otherwise disjoint Supermatrix and reduce the decision maker's cognitive burden demonstrates the usefulness of linking pin comparisons in ANP decision models. Copyright © 2016 John Wiley & Sons, Ltd.     

Group‐analytic network process for balancing stakeholder views on fire protection of steel‐framed buildings

To select appropriate fire protection options for buildings during their design stage, economic, safety, environmental, and societal criteria need to be accounted for. The divergent and sometimes conflictual desires from different fire design stakeholders involved in the process present a multicriteria decision problem. Design decision criteria and fire protection options can be interdependent, and so there is a need to manage these desires with an advanced decision analysis technique, thereby reducing uncertainties in the complex decision‐making process. The aim of this paper is to use the weighted/geometric mean method‐analytic network process (W/GMM‐ANP) to balance the opinions of fire design stakeholders extracted from 42 structured stakeholder interviews on selecting the most suitable fire protection option for buildings constructed of steel frames. Different categories of interdependent decision elements were developed from 22 design decision criteria and 5 proposed fire protection options to produce a network of decision clusters for multicriteria decision analysis. In the synthesis and ranking of fire protection options, the W/GMM‐ANP accounted for the multiple interdependencies of weighted and unweighted stakeholder desires and managed the complexity of the decision‐making problem. The technique is proposed for approaching suitable group decisions in structural fire design of steel‐framed buildings as well as other performance‐based engineering decision making that may involve multidisciplinary stakeholders.     

Random error reduction in analytic hierarchies: a comparison of holistic and decompositional decision strategies

The principle of ‘divide and conquer’ (DAC) suggests that complex decision problems should be decomposed into smaller, more manageable parts, and that these parts should be logically aggregated to derive an overall value for each alternative. Decompositional procedures have been contrasted with holistic evaluations that require decision makers to simultaneously consider all the relevant attributes of the alternatives under consideration (Fischer, 1977 ). One area where decompositional procedures have a clear advantage over holistic procedures is in the reduction of random error (Ravinder, 1992 ; Ravinder and Kleinmuntz, 1991 ; Kleinmuntz, 1990 ). Adopting the framework originally developed by Ravinder and colleagues, this paper details the results of a study of the random error variances associated with another popular multi‐criteria decision‐making technique, the Analytic Hierarchy Process (AHP); (Saaty, 1977 , 1980 ), as well as the random error variances of a holistic version of the Analytic Hierarchy Process (Jensen, 1983 ). In addition, data concerning various psychometric properties (e.g. the convergent validity and temporal stability) and values of AHP inconsistency are reported for both the decompositional and holistic evaluations. The results of the study show that the Ravinder and Kleinmuntz ( 1991 ) error‐propagation framework extends to the AHP and decompositional AHP judgments are more consistent than their holistic counterparts. Copyright © 2001 John Wiley & Sons, Ltd.     

Mapping the Domain of Career Decision Problems

The domain of career decision problems has not been adequately explored. Consequently, it is difficult to determine how well existing instruments sample the career indecision construct. The authors conducted a factor analysis of the Career Decision Scale, Career Factors Inventory, and Career Decision Difficulties Questionnaire with undecided college students to explore the indecision domain. They found six reliable factors: Lack of Information, Need for Information, Trait Indecision, Disagreement with Others, Identity Diffusion, and Choice Anxiety. They conducted a cluster analysis of these six factors to explore the structure of the indecision domain and found three clusters: Information Deficit/Identity Diffusion, Decision Process Inhibitors, and Choice Inhibitors. The authors propose a definition of the domain of career decision problems, discuss implications of the results for career counseling, and critique existing instruments on their coverage of the domain.     

Personnel selection using INSIGHT — C: An application based on the analytic hierarchy process

The purpose of this paper is to explore the applicability of an extension of the Analytic Hierarchy Process (AHP) for personnel selection and placement. In line with the AHP approach, personnel selection is viewed as a multiple criteria-decision making situation. A personnel package, based on the analytic hierarchy theory, is suggested. The paper concludes with an evaluation of the suitability of the package as an aid for personnel decision-making.     

Integration of Analytic Hierarchy Process with Regression Analysis to Identify Attractive Locations for Market Expansion

Selection of new geographies in which to expand is a key decision for businesses aspiring to go beyond the opportunities in the existing markets. The conventional approaches of market selection can only provide a set of systematic steps for problem solving without considering the relationships between the decision factors. Decision models based on statistical techniques are able to examine the relationship between decision factors but are unable to effectively assist decision makers in identifying the most promising market, particularly in terms of prioritizing across decision factors. Analytic Hierarchy Process (AHP) is a commonly used approach for choosing alternatives by prioritizing across multiple decision factors. The typical AHP modelling requires knowledge of criteria and/or alternatives along with their relative weights, generally elicited from field experts. Quite often, firms encounter situations where decision makers are aware of only the overall objective and a set of earmarked geographies for setting up market locations while being relatively unaware of decision criteria and relative weights. This precludes using AHP to identify promising market locations. This paper conceptualizes a market selection decision model that integrates AHP with statistical modelling techniques to identify the attractive market locations for the purpose of expansion. The model first uses principal component analysis and multiple regression to determine significant decision criteria and their weights. Thereafter, it applies AHP to prioritize the market locations across the decision criteria. This integrative approach is illustrated for identifying the attractive locations in rural markets for a steel firm in India. The major advantage of this approach is that unlike the existing models, it works in situations when firms have not enough knowledge about factors for evaluating alternative market locations. Another key advantage of the proposed model is that of economizing resources for data collection on variables representing decision factors. Copyright © 2012 John Wiley & Sons, Ltd.     

A Comprehensive Framework for the Analysis of Ethical Behavior,with a Focus on Sales Organizations

A model describing the process of ethical decision making is proposed. This model, termed the Ethical Decision/Action Process (EDAP), expands on the scope of prior models, and uses a four-component moral decision structure as its central focus. The behaviors which take place within the moral decision structure are influenced by the decision maker's characteristics and decision outcomes, and can vary in light of situational moderators. Research results related to the model configuration are presented and analyzed, drawn from selling, sales management, and other settings. Research and management implications are provided.     

A Psychometric Analysis of the “Divide and Conquer” Principle in Multicriteria Decision Making

The principle of “Divide and Conquer” (DAC) suggests that: (1) complex decision problems should be decomposed into smaller, more manageable parts and (2) these smaller parts should be logically aggregated to derive an overall value for each alternative. Typically, decompositional procedures have been compared to holistic evaluations that require decision makers to simultaneously consider all of the relevant attributes in the evaluation of the objects under consideration. These comparisons between decompositional and holistic judgments have primarily used a variant of Multiattribute Utility Theory (MAUT).We presented a general experimental framework that allows for a more extensive assessment of the DAC principle, as well as the effects of decision complexity on both holistic and decompositional procedures. We illustrate this approach with a study that uses the Simple Multiattribute Rating Technique with Swing Weights (SMARTS; Edwards & Barron, 1994) and the Analytic Hierarchy Process (AHP; Saaty, 1980). We report data comparing the convergent validity (e.g the agreement between decompositional and holistic strategies) and the temporal stability for decompositional and holistic judgments on a variety of dependent measures. Decision complexity did not significantly affect the correspondence between decompositional and holistic judgments for both SMARTS and AHP judgments. Results from an ordinal measure of temporal stability indicated the DAC principle was violated for the AHP judgments. For a linear measure of temporal stability, trends in the data indicated that the predicted effects of decision complexity on the DAC principle was violated for the SMARTS judgments.     

国有中型制造业中层管理者胜任特征模型的构建研究

研究采用质性研究和量化研究相结合的方法,对国有中型制造业中层管理者的胜任特征进行了系统、深入的研究,由3个部分构成。研究1采用行为事件访谈技术、德尔菲法、核检表法初步建立起包含17项胜任特征,聚为6个胜任特征群的模型;研究2对模型的内部结构探索验证,发现七因素模型比六因素模型更稳定;研究3采用聚类和层次分析法获得模型的系统权重。研究为胜任特征模型的研究提供了理论支持和应用指导。     

Decision Support System and Multi‐Criteria Decision Aid: A State of the Art and Perspectives

The aim of this paper is to highlight the role of the Decision Support System within the field of multi‐criteria decision aid (MCDA). The MCDA tools have been incorporated into systems to create Multi‐Criteria Decision Support Systems (MCDSSs). In our literature review, we noticed that more than 100 papers have been written over a 20‐year period in which MCDSS was used as a decision‐making tool. The present paper describes some real applications of MCDSS in different fields, harmoniously combined with decision‐making methods such as analytic hierarchy process, Utility Additive, and Goal Programming. The present study proposes an integrative MCDSS evaluation through guidance on the tools most useful for a specific user with a particular decision problem. Copyright © 2014 John Wiley & Sons, Ltd.     

Using the Analytic Hierarchy Process to Analyze Multiattribute Decisions

Since its introduction a decade ago, the Analytic Hierarchy Process (AHP) has been used by decision makers in many contexts. The vast majority of these applications has involved allocating resources or making choices from among alternatives. This article discusses how AHP may be used in a different manner: to assist researchers in the analysis of decisions. AHP is briefly compared with other decision-analysis techniques, such as multiattribute utility measurement, conjoint measurement, and general linear models (regression and analysis of variance). Some of the possible insights into decision processes that can be obtained using AHP are illustrated with data gathered from practicing auditors of financial statements.     

Does Having a Say Matter Only if You Get Your Way? INstrumental and Value-Expressive Effects of Employee Voice

Research shows that employees can have process control, decision control, or both, over work outcomes. Process control refers to the extent to which workers have a chance to express their opinions about decisions. Decision control refers to any actual degree of influence over the decision that is made. Both variables have been shown to affect procedural justice, a sense of fairness about how things are done at work, and eventual outcome satisfaction. Some claim that process control has its effect because it contributes to workers' feelings of control over the decision or outcome--the instrumentality perspective. Others claim that process control has an independent effect on procedural justice that is not mediated by perceptions of decision control--the value-expressive approach. These theorists believe that workers value having their opinion heard, independent of any increase in decision control. We present a study that examines these models in a work setting. Structural equation analyses revealed that process control did have a significant direct effect on procedural justice: having a say is not completely dependent on getting one's way. Process control also had a smaller, but still significant, indirect effect on procedural justice that was mediated by decision control. Congruence with prior research and future research implications are discussed.     

Portfolio Decisions and Brain Reactions via the CEAD method

Decision making can be a complex process requiring the integration of several attributes of choice options. Understanding the neural processes underlying (uncertain) investment decisions is an important topic in neuroeconomics. We analyzed functional magnetic resonance imaging (fMRI) data from an investment decision study for stimulus-related effects. We propose a new technique for identifying activated brain regions: cluster, estimation, activation, and decision method. Our analysis is focused on clusters of voxels rather than voxel units. Thus, we achieve a higher signal-to-noise ratio within the unit tested and a smaller number of hypothesis tests compared with the often used General Linear Model (GLM). We propose to first conduct the brain parcellation by applying spatially constrained spectral clustering. The information within each cluster can then be extracted by the flexible dynamic semiparametric factor model (DSFM) dimension reduction technique and finally be tested for differences in activation between conditions. This sequence of Cluster, Estimation, Activation, and Decision admits a model-free analysis of the local fMRI signal. Applying a GLM on the DSFM-based time series resulted in a significant correlation between the risk of choice options and changes in fMRI signal in the anterior insula and dorsomedial prefrontal cortex. Additionally, individual differences in decision-related reactions within the DSFM time series predicted individual differences in risk attitudes as modeled with the framework of the mean-variance model.     

The analytic decision‐making preference model to evaluate the disaster readiness in emergency departments: The A.D.T. model

In recent years, a series of important emergencies have been taken place worldwide in industrial plants. After the occurrence of a disaster, it is essential to activate the correct emergency procedures. Particularly, it is important to direct people injured in hospitals which are able to handle emergencies. Thus, nowadays, the emergency services require a management process starting from the disaster moment to the involvement of all actors participating in the process to provide integral, safe, and quality attention. The aim of this study is to help hospitals become better prepared for major disasters and public health emergencies and to evaluate the readiness of emergency departments for a disaster situation. A hybrid model called the “analytic decision‐making preference model” based on analytic hierarchy process, decision‐making trial and evaluation laboratory, and technique for order of preference by similarity to ideal solution methods is proposed. Analytic hierarchy process is used to determine the criteria and subcriteria weights. Then, decision‐making trial and evaluation laboratory is used to evaluate interdependence between criteria and subcriteria. After this, technique for order of preference by similarity to ideal solution is applied to rank the emergency departments from highest to lowest according to their closeness coefficient. A real‐life application in Colombia is presented.     

A METHOD FOR ESTABLISHING THE REPRESENTATIONAL VALIDITY OF INTERACTION CODING SYSTEMS: DO WE SEE WHAT THEY SEE?

This paper offers a new methodological approach to establishing the validity of interaction coding schemes, and it reports research which applies these procedures to three coding systems that have been used to study small group decision making: Bales' (1950) Interaction Process Analysis System, Fisher's (1970) Decision Proposal Coding System, and Mabry's (1975) Pattern Variable Coding System. The procedures offered here provide a method for determining whether the functions or constructs identified by a coding system are part of the common meanings ascribed to the participants in the interaction. Of the three coding systems evaluated in the study, the IPA System represented subjects' interpretations of decision-making interaction better than the Decision Proposal System, which, in turn, performed better than the Pattern Variable System.     

Improving judgement with prepaid expert advice

Decision makers (“Judges”) often make decisions after obtaining advice from an Advisor. The two parties often share a psychological “contract” about what each contributes in expertise to the decision and receives in monetary outcomes from it. In a laboratory experiment, we varied Advisor Experitise and the opportunity for monetary rewards. As expected, these manipulations influenced advice quality, advice taking, and Judge post‐advice decision quality. The main contribution of the study, however, was the manipulation of the timing of monetary rewards (before or after the advising interaction). We found, as predicted, that committing money for expert—but not novice—advice increases Judges' use of advice and their subsequent estimation accuracy. Implications for advice giving and taking are discussed. Copyright © 2004 John Wiley & Sons, Ltd.     

Lay rationalism and inconsistency between predicted experience and decision

Decision‐makers are sometimes depicted as impulsive and overly influenced by ‘hot’, affective factors. The present research suggests that decision‐makers may be too ‘cold’ and overly focus on rationalistic attributes, such as economic values, quantitative specifications, and functions. In support of this proposition, we find a systematic inconsistency between predicted experience and decision. That is, people are more likely to favor a rationalistically‐superior option when they make a decision than when they predict experience. We discuss how this work contributes to research on predicted and decision utilities; we also discuss when decision‐makers overweight hot factors and when they overweight cold factors. Copyright © 2003 John Wiley & Sons, Ltd.     

The role of transcranial magnetic stimulation (TMS) in studies of vision, attention and cognition

Transcranial magnetic stimulation (TMS) can be conceptualized as a virtual lesion technique, capable of disrupting organized cortical activity, transiently and reversibly. The technique combines good spatial and temporal resolution and, moreover, because it represents an interference technique, can be said to have excellent functional resolution. The following is a review and discussion of the contribution which TMS has made to the study of vision, attention, development and plasticity and speech and language.     

The role of personality traits,core self‐evaluation,and emotional intelligence in career decision‐making difficulties

This study examines the role of personality traits, core self‐evaluation, and emotional intelligence (EI) in career decision‐making difficulties. Italian university students (N= 232) responded to questions on the Big Five Questionnaire, Core Self‐Evaluation Scale, Bar‐On Emotional Quotient Inventory, and Career Decision‐Making Difficulties Questionnaire. It was found that EI adds significant incremental variance compared with personality traits and core self‐evaluation in predicting career decision‐making difficulties. The results draw attention to the unique role of EI in career decision‐making difficulties, offering new research opportunities and intervention possibilities.     

The Role of Virtue Ethics Principles in Academic Integrity Breach Decision-Making

This paper contends that principles of virtue ethics have the potential to both supplement and complement academic integrity policy in the adjudication of undergraduate student academic integrity breaches. The paper uses elements of grounded theory to explore responses from 15 Academic Integrity Breach Decision Makers (AIBDMs) at an Australian university, and in particular, the process they use to determine outcomes for student breaches of academic integrity. The findings indicate that AIBDMs often use principles of virtue ethics to help provide nuanced judgement on sometimes complicated breaches of ethical behaviour. The findings demonstrate that many AIBDMs supplemented their knowledge of institutional academic integrity policy with a deep commitment to their own virtuous behaviour.