The Relative Importance and Priority in the Selection of Picture-books Using the AHP

2017 ◽  
Vol 18 (3) ◽  
pp. 187-204
Author(s):  
Jeong-A Park ◽  
Eun-Jin Kang
2018 ◽  
Vol 35 (6) ◽  
pp. 1177-1194
Author(s):  
Keshav Kumar Sharma ◽  
Anup Kumar

PurposeThe purpose of this paper is to develop criteria for project manager selection based on desired skills of a project manager and facilitate the selection of a suitable candidate from a pool of potential candidates for the implementation of projects in the Indian context.Design/methodology/approachThe study utilizes three major skills, namely human skill, conceptual and organizational skills; technical skill along with their sub-skills to develop criteria for project manager selection. Based on the responses of project professionals from industry, the study uses analytical hierarchy process to prioritize and identify the relative importance of different skills in the criteria in order to develop a hierarchical structure for project manager selection.FindingsThe study finds that at the first level of project manager selection criteria, conceptual and organizational skills are the most important selection criteria followed by human skills and technical skills. At the second level of project manager selection criteria, planning, delegating authority and understanding methods, processes, and procedures are some of the important sub-selection criteria. The weights indicating the relative importance of major selection criteria and sub-selection criteria can be used to evaluate the relative weight of a given candidate for selection as a project manager.Research limitations/implicationsThe results in this study are derived from specific demographic conditions in India. Future research with larger samples from other countries is needed for generalizations of the proposed criteria.Practical implicationsThe proposed method quantifies the intangible qualitative criteria to select a project manager, which can aid decision-makers in a multi-criteria decision-making environment.Originality/valueThis research paper is focused on the identification of critical skills for the selection of a project manager, which is almost neglected by the researchers.


1967 ◽  
Vol 68 (3) ◽  
pp. 411-422 ◽  
Author(s):  
J. Bingham

Elliott (1962) estimated that the average grain yield of wheat in the United Kingdom increased by 6·1 cwt per acre between 1947 and 1957. By considering results of yield trials carried out by the National Institute of Agricultural Botany he attributed 3·8 cwt of this increase to greater yielding ability of new varieties and the remainder to ‘other factors’, including the increased use of fertilizers, chemical weed control, better seed dressings and combine harvesters. The genetic improvement obtained by breeding new varieties is due partly to the incorporation of characters which are comparatively easily recognized, such as resistance to various diseases and lodging. However, even when these major limiting factors are absent from the environment the new varieties give higher yields, presumably due to physiological superiority. Many investigations, reviewed by Thome (1966), have sought to identify and establish the relative importance of the responsible physiological characters, but the information is still far from complete. This shortcoming is now the chief hindrance to more efficient choice of varieties for use as parents and selection of improved genotypes by the breeder. The objective of the three experiments reported here was to provide further information on the physiological basis of varietal differences in yield in wheat.


Author(s):  
Jeremy J. Michalek ◽  
Panos Y. Papalambros

Weighting coefficients are used in Analytical Target Cascading (ATC) at each element of the hierarchy to express the relative importance of matching targets passed from the parent element and maintaining consistency of linking variables and consistency with designs achieved by subsystem child elements. Proper selection of weight values is crucial when the top level targets are unattainable, for example when “stretch” targets are used. In this case, strict design consistency cannot be achieved with finite weights; however, it is possible to achieve arbitrarily small inconsistencies. This article presents an iterative method for finding weighting coefficients that achieve solutions within user-specified inconsistency tolerances and demonstrates its effectiveness with several examples. The method also led to reduced computational time in the demonstration examples.


2011 ◽  
Vol 16 (3) ◽  
pp. 449-471 ◽  
Author(s):  
Efrem Castelnuovo

“Good policy” and “good luck” have been identified as two of the possible drivers of the “Great Moderation,” but their relative importance is still widely debated. This paper investigates the role played by equilibrium selection under indeterminacy in the assessment of their relative merits. We contrast the outcomes of counterfactual simulations conditional on the “continuity” selection strategy–largely exploited by the literature–with those obtained with a novel “sign restriction” based strategy. Our results suggest that conclusions achieved under “continuity” are not necessarily robust to the selection of different–still economically sensible–equilibria. According to our simulations, the switch to a hawkish systematic monetary policy may very well induce an increase in output volatility. Hence, our sign restriction–selection strategy “resurrects” the inflation–output policy tradeoff.


2005 ◽  
Vol 127 (2) ◽  
pp. 206-214 ◽  
Author(s):  
Jeremy J. Michalek ◽  
Panos Y. Papalambros

Weighting coefficients are used in analytical target cascading (ATC) at each element of the hierarchy to express the relative importance of (a) matching targets passed from the parent element and (b) maintaining consistency of linking variables and consistency with designs achieved by subsystem child elements. Proper selection of weight values is crucial when the top-level targets are unattainable, for example when “stretch” targets are used. In this case, strict design consistency cannot be achieved with finite weights; however, it is possible to achieve arbitrarily small inconsistencies. This article presents an iterative method for finding weighting coefficients that achieve solutions within user-specified inconsistency tolerances and demonstrates its effectiveness with several examples. The method also led to reduced computational time in the demonstration examples.


1979 ◽  
Vol 44 (1) ◽  
pp. 199-211
Author(s):  
Harry L. Chiesi ◽  
James W. Pellegrino

Aspects of stimulus encoding were assessed in two experiments by comparing confidence ratings given to actual stimuli with ratings given to variants of the stimuli that systematically distorted identity and position information about individual components. The results indicated that even after a single trial the encoded representation of the stimulus contained information about the identity and position of all individual components and the relationships among components. While neither higher degrees of associative learning nor additional learning trials altered the relative importance of various types of information contained in the encoding, signal detection analyses indicated that both factors increased the subject's over-all sensitivity to the stimulus. Response-similarity had no effect on stimulus learning when trials were controlled. The results are discussed with respect to previous studies on selection of stimuli and independence of components.


2017 ◽  
Vol 19 (4) ◽  
pp. 558-571 ◽  
Author(s):  
Feilin Zhu ◽  
Ping-an Zhong ◽  
Yimeng Sun ◽  
Bin Xu

In reservoir flood control operation, selection of criteria is an important part of the multi-criteria decision making (MCDM) procedure. This paper proposes a method to select criteria for MCDM of reservoir flood control operation based on the back-propagation (BP) neural network. According to the concept of ideal and anti-ideal points, we propose a method to generate training samples of the BP neural network via stochastic simulation. The topological structure of a three-layer BP neural network used for criteria selection is established. The relative importance of criteria is derived via the learned connection weights of a trained BP neural network, and its calculation method is proposed. The sensitivity curve method is employed to conduct sensitivity analysis, and the relative contribution ratio is defined to quantify the relative sensitivity strength of each criterion. We present the principle and threshold value of criteria selection based on the comprehensive discrimination index defined by the combination of the relative importance and relative contribution ratio. The Pubugou reservoir is selected as the case study. The results show that the proposed method can provide an effective tool for decision makers to select criteria before MCDM modeling of reservoir flood control operation.


2011 ◽  
Vol 10 (1) ◽  
pp. 101 ◽  
Author(s):  
Roger H. Hermanson ◽  
Linda M. Plunkett ◽  
Deborah H. Turner

<span>This study examines the importance of certain accounting firm characteristicsreputation, personnel, industry experience, and feeto the selection of audit firms by publicly-traded corporations. Client perceptions of these attributes were assessed to determine: (1) possible longitudinal changes in the relative importance of these attributes to clients selections, and (2) possible concurrent differences in the relative importance of these attributes to two different client strata-large versus small corporations. Using conjoint analysis, interval measures of the relative importance of each firm attribute were determined. The results of this study indicate that large and small corporations have very different relative preferences for characteristics of audit firms. In addition the importance attached to certain attributes of audit firms by large and small clients appears to be stable over time.</span>


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