Browsing 005 Σχολή Οικονομικών Επιστημών και Διοίκησης / Faculty of Economics and Management by Type "Conference Object"
Now showing items 1-20 of 93
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Conference Object
All Are Not Saints, Who Go to Church: Corporate Social Responsibility, Perceived Corporate Hypocrisy and the Impact on Customer Satisfaction
(Social Science Research Network, 2018)We adopt a customer point of view and investigate the impact of perceived corporate hypocrisy on customer satisfaction in the context of corporate social responsibility (CSR). We argue that when customers perceive discrepancies ...
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The analyst report's forecast horizon and bias
(European Accounting Association, 2019)
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Analysts' recommendation credibility: What can target prices tell us
(European Accounting Association, 2019)
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Application of artificial neural networks in the prediction of earnings
(IEEE, 1994)The feasibility of using artificial neural networks (ANNs) for predicting future earnings by stock market and capital market investors was evaluated. A multilayer perceptron feedforward neural network architecture with an ...
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Conference Object
Application of feature extractive algorithm to bankruptcy prediction
(IEEE, 2000)This study uses the feature selection algorithm proposed by Setiono and Liu to select the most relevant features for the bankruptcy prediction problem. The method uses a feedforward neural network with one hidden layer to ...
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Are standards effective in improving automobile fuel economy? an international panel analysis
(2007)There is an intense debate over whether fuel economy standards or fuel taxation is the more appropriate policy instrument to raise fuel economy and reduce CO2 emissions of cars. The aim of this paper is to analyze the ...
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Conference Object
Assessment of Production and Operations Management Journals: Global Perspective and Insights
(2008)
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Co-production and Service Design
(2012)
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Cocreation in healthcare: The relationship with patient satisfaction and physician productivity
(2016)
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Comments on P. Krugman, “Past and prospective causes of high unemployment"
(Federal Reserve Bank of Kansas City, 1994)
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Comparative analysis of artificial neural network models: Application in bankruptcy prediction
(IEEE, 1999)This study compares the predictive performance of three neural network methods, namely the Learning Vector Quantization, Radial Basis Function, the Feedforward network that uses the conjugate gradient optimization algorithm, ...
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Customer Contact and Service Quality
(1995)
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