Identifying and prioritizing factors influencing the selection of the top suppliers of e‐procurement using FDEMATEL and FANP

The aim of this study is to identify, rank, and determine the importance of factors influencing the selection of the top supplier of electronic procurement in organizations using a hybrid approach. This is a case study of Irancell Telecommunication Service Company in which fuzzy decision‐making trial and evaluation (FDEMATEL) and fuzzy analytical network process (FANP) were used. FDEMATEL was employed to determine the interaction and interrelationships among the identified criteria and subcriteria, while utilizing FANP to calculate the weights of the criteria and their relevant subcriteria to determine their priorities. Therefore, the research literature was first reviewed to identify the factors influencing the selection of suppliers. For this purpose, the experts on communication networks were interviewed to select 16 final factors as the most important subcriteria that were then categorized as 5 groups (technology, environmental, services, organizational, and commercial) on which the study was based. After extracting the criteria for ranking the suppliers, codifying evaluation questionnaire, and converting the opinions in the Likert scale, 16 criteria were finally chosen with scores above the mean. FDEMATEL was used to determine the weights of subcriteria. In the final step, FANP was employed for prioritization. Results indicate that the organizational criterion is the most influential factor; however, the criterion services is the most permeable factor. The greatest weights were obtained from production capacity and provisions and geographical situation which were weighted 0.097 and 0.039, respectively. They are also regarded as the most and least important criteria for the selection of the top supplier of e‐procurement by the experts.     

Prioritizing emergency shelter areas using hybrid multi‐criteria decision approach: A case study

Every year, more than 400 natural disasters affect global population. Adopting a resilient approach strengthens communities to survive and recover well from destabilizing events. Disasters destroy or damage houses and infrastructure, which calls for arrangement of temporary establishments to provide immediate evacuation and shelter to affected population. These sites are vital for an effective relief and must be strategically planned. Communities living in disaster‐prone areas should prepare themselves well in advance for any future catastrophic event. This study adopts a hybrid group decision support approach for emergency shelter site selection problem. Initially, relevant factors for locating potential sites are identified by reviewing extant literature and through consultation from a panel of disaster management experts. Next, fuzzy analytic hierarchy process theory and technique for order preference by similarity to ideal solution have been used to prioritize identified criteria and to evaluate potential locations for displacement sites. A case study of the recent Nepal earthquake has been used to illustrate the effectiveness of the proposed model. The model offers a resilience building approach to prepare communities for any future contingency by proposing and prioritizing a set of planned displacement sites.     

A hybrid neutrosophic multiple criteria group decision making approach for project selection

The project selection is one of the most important phases of a project life cycle. The project selection is considered as a Multi-Criteria Decision-Making (MCDM) problem. This research aims to study the integration between Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) into Decision-Making Trial and Evaluation Laboratory (DEMATEL) under neutrosophic environment to provide a new technique for making a decision regarding the choice of appropriate project (project selection) as one of the most important phases of the project life cycle. Projects are selected by comparing them against many criteria. Criteria are evaluated based on expert’s opinion. Sometimes experts cannot give reliable information due to the non-deterministic environment. The neutrosophic set theory will be used to handle and overcome the ambiguity or lack of confirmation of information. The criteria are weighted by DEMATEL, then the best project alternative is selected using TOPSIS. In the proposed model, each pairwise comparison judgments is symbolized as a trapezoidal neutrosophic number. Experts will focus only on (n − 1) judgments for n alternatives to overcome the difficulties of [(n * (n − 1))/2] consistence judgments in case of increasing number of alternatives. A numerical example is developed to show the validation of the suggested model in the neutrosophic environment.     

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 Fuzzy Topsis Method for Prioritized Aggregation in Multi‐Criteria Decision Making Problems

Aggregation in a decision making environment requires the fusion of opinions of a group of decision makers. The group of decision makers are required to analyse a set of interrelated criteria that are usually measured on a linguistic scale. This process requires, in many instances, to capture experts experience, intuition and thinking that are traditionally expressed in a linguistic fashion rather than a numerical fashion. Furthermore, the necessity of considering the relationship between the criteria to the overall decision must be considered by the group of decision makers. This paper extends the application of fuzzy numbers, fuzzy relative importance scores (FRIS), fuzzy relative weights (FRW) and the fuzzy technique of order preference by similarity to ideal solution (TOPSIS) in prioritized aggregation. This extension provides a mean to systematically aggregate a group of decision makers' views for a set of interrelated criteria that are measured on a linguistic scale. First, an overview of the application of fuzzy numbers and the characteristics of aggregating fuzzy numbers in multi‐criteria decision making problems are presented. Then, the application of TOPSIS in fuzzy environments is presented. Next, past research is highlighted to present prioritized aggregation and the different aggregation operators' classes. Subsequently, a new prioritized aggregation method is presented. This method utilizes fuzzy TOPSIS with prioritized aggregation in fuzzy environments. Finally, the fuzzy prioritized aggregation method presented in this paper is applied on an actual case study. According to the results, the method presented in this paper provides a systematic approach to capture the uncertainty and imprecision associated with quantifying linguistic measurements in multi‐criteria decision making problems. Furthermore, it considers the relationship between the set of linguistically measured criteria undergoing prioritized aggregation in a fuzzy environment. Lastly, findings, conclusions and future work are presented. Copyright © 2016 John Wiley & Sons, Ltd.     

Buying cars online: the adoption of the web for high‐involvement,high‐cost purchases

This research explores the adoption of the Web throughout the buying process within high‐value, high‐involvement product categories (the car sector). Diffusion of innovations (Rogers, 1983) and innovation resistance Ram and Sheth (1989) theories are utilised and found to be useful. The research is exploratory, based on eight qualitative, semi‐structured individual interviews with potential car buyers. Findings indicate that there is resistance to adopting online car purchase overall, but relative advantage is recognised at the early, information seeking stages. Consumers use the Web to improve the balance of power between themselves and car salespeople. Innovation resistance during later stages, result from the need for personal experience of the product prior to purchase, ie test driving, as well as the uncertainty regarding after‐sales support. Further resistance comes from a reluctance to give up the social aspects of car buying and a perceived inability to negotiate with websites. It is suggested that organisations operating in these markets should focus Web activities on information provision, or opt for a hybrid strategy using both online and offline channels. Copyright © 2002 Henry Stewart Publications.     

An Adaptive Algorithm for Pairwise Comparison‐based Preference Measurement

The Pairwise Comparison‐based Preference Measurement (PCPM) approach has been proposed for products featuring a large number of attributes. In the PCPM framework, a static two‐cyclic design is used to reduce the number of pairwise comparisons. However, adaptive questioning routines that maximize the information gained from pairwise comparisons promise to further increase the efficiency of this approach. This paper introduces a new adaptive algorithm for PCPM, which accounts for several response errors. The suggested approach is compared with an adaptive algorithm that was proposed for the Analytic Hierarchy Process as well as a random selection of pairwise comparisons. By means of Monte Carlo simulations, we quantify the extent to which the adaptive selection of pairwise comparisons increases the efficiency of the respective approach. Copyright © 2011 John Wiley & Sons, Ltd.     

Not looking yourself: The cost of self‐selecting photographs for identity verification

Photo‐identification is based on the premise that photographs are representative of facial appearance. However, previous studies show that ratings of likeness vary across different photographs of the same face, suggesting that some images capture identity better than others. Two experiments were designed to examine the relationship between likeness judgments and face matching accuracy. In Experiment 1, we compared unfamiliar face matching accuracy for self‐selected and other‐selected high‐likeness images. Surprisingly, images selected by previously unfamiliar viewers – after very limited exposure to a target face – were more accurately matched than self‐selected images chosen by the target identity themselves. Results also revealed extremely low inter‐rater agreement in ratings of likeness across participants, suggesting that perceptions of image resemblance are inherently unstable. In Experiment 2, we test whether the cost of self‐selection can be explained by this general disagreement in likeness judgments between individual raters. We find that averaging across rankings by multiple raters produces image selections that provide superior identification accuracy. However, benefit of other‐selection persisted for single raters, suggesting that inaccurate representations of self interfere with our ability to judge which images faithfully represent our current appearance.     

Properties of hypothesis testing techniques and (Bayesian) model selection for exploration‐based and theory‐based (order‐restricted) hypotheses

In this paper, the performance of six types of techniques for comparisons of means is examined. These six emerge from the distinction between the method employed (hypothesis testing, model selection using information criteria, or Bayesian model selection) and the set of hypotheses that is investigated (a classical, exploration‐based set of hypotheses containing equality constraints on the means, or a theory‐based limited set of hypotheses with equality and/or order restrictions). A simulation study is conducted to examine the performance of these techniques. We demonstrate that, if one has specific, a priori specified hypotheses, confirmation (i.e., investigating theory‐based hypotheses) has advantages over exploration (i.e., examining all possible equality‐constrained hypotheses). Furthermore, examining reasonable order‐restricted hypotheses has more power to detect the true effect/non‐null hypothesis than evaluating only equality restrictions. Additionally, when investigating more than one theory‐based hypothesis, model selection is preferred over hypothesis testing. Because of the first two results, we further examine the techniques that are able to evaluate order restrictions in a confirmatory fashion by examining their performance when the homogeneity of variance assumption is violated. Results show that the techniques are robust to heterogeneity when the sample sizes are equal. When the sample sizes are unequal, the performance is affected by heterogeneity. The size and direction of the deviations from the baseline, where there is no heterogeneity, depend on the effect size (of the means) and on the trend in the group variances with respect to the ordering of the group sizes. Importantly, the deviations are less pronounced when the group variances and sizes exhibit the same trend (e.g., are both increasing with group number).     

Aggression inhibition in high‐ and low‐risk subjects for child physical abuse: effects of a child's hostile intent and the presence of mitigating information

Exposure of an aggressor to the suffering of his/her victim generally inhibits subsequent attacks [e.g. Baron, 1971a] presumably because of an empathic process. Physically abusive parents and individuals at high risk for child physical abuse are thought to present a deficit in empathy [e.g. Milner, Halsey and Fultz, 1995]. The present research was designed to investigate whether high‐risk, compared to low‐risk, subjects for child physical abuse select more aggressive responses and aggress with more intensity toward a supposed child whose behavior is adequate, inadequate or ambiguous in the presence of the child's pain cues. A second objective was to explore whether high‐risk, compared to low‐risk, subjects for child physical abuse fail to adequately integrate mitigating information and, therefore, do not inhibit their aggressive behavior following the receipt of mitigating information before or during an inadequate child behavior. Participants were engaged in an experimental task that involved attempting to teach a child how to proceed accurately through a computer‐displayed maze and were given the opportunity to send positive (pleasant sounds and happy faces) and negative feedback (mad faces and unpleasant sounds) to the child. Two hundred and fifty undergraduate students participated in the experiment. A 2 × 5 factorial design based on two levels of the participant's risk status (high, low) and five conditions based on the child's behavior and the introduction of mitigating information was employed. As expected, low‐risk, compared to high‐risk, subjects showed less aggression when mitigating information was provided. Aggr. Behav. 32:1–15, 2006. © 2006 Wiley‐Liss, Inc.     

Teaching for the recovery of meaning: An imagination‐centered pedagogical approach for today's college students

In the face of a mounting mental health crisis among college students, professors have an opportunity and responsibility to respond to their students’ psychological distress. Psychological and historical scholarship suggests that the proliferation of modern media and breakdown in traditional sources of existential meaning like religion are significant factors in young adults’ declining mental health. In response to this crisis, this article examines the crucial role of the imagination in constructing meaning and proposes an imagination‐centered pedagogical process by means of which teachers can assist students in recovering meaning and integration in their lives.     

Should research experience be used for selection into graduate school: A discussion and meta‐analytic synthesis of the available evidence

Prior research experience is widely considered by graduate school admissions committees in the United States of America. Here, we use meta‐analytic methods and data from 18 unique samples and a total sample size of 3,525 students to shed light on the validity of prior research experience as a predictor of graduate school performance. Prior research experience was largely unrelated to academic performance (ρ = .01, k = 8, N = 1,419), degree attainment (ρ = .05, k = 3, N = 140), professional/practice performance (ρ = .06, k = 4, N = 1,120), and publication performance (ρ = .11, k = 7, N = 1,094). We also discuss whether consideration of prior research experience may unfairly disadvantage the students with lower levels of SES, students with childcare or eldercare responsibilities, and students from institutions at which research opportunities are limited.     

Trouble articulating the right words: Evidence for a response‐exclusion account of distraction during semantic fluency

It is widely held that single‐word lexical access is a competitive process, a view based largely on the observation that naming a picture is slowed in the presence of a distractor‐word. However, problematic for this view is that a low‐frequency distractor‐word slows the naming of a picture more than does a high‐frequency word. This supports an alternative, response‐exclusion, account in which a distractor‐word interferes because it must be excluded from an articulatory output buffer before the right word can be articulated (the picture name): A high, compared to low, frequency word accesses the buffer more quickly and, as such, can also be excluded more quickly. Here we studied the respective roles of competition and response‐exclusion for the first time in the context of semantic verbal fluency, a setting requiring the accessing of, and production of, multiple words from long‐term memory in response to a single semantic cue. We show that disruption to semantic fluency by a sequence of to‐be‐ignored spoken distractors is also greater when those distractors are low in frequency, thereby extending the explanatory compass of the response‐exclusion account to a multiple‐word production setting and casting further doubt on the lexical‐selection‐by‐competition view. The results can be understood as reflecting the contribution of speech output processes to semantic fluency.