Data Envelopment Analysis and Its Applications to Management
Editat de Vincent Charles, Mukesh Kumaren Limba Engleză Hardback – 31 oct 2012
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Specificații
ISBN-13: 9781443841320
ISBN-10: 1443841323
Pagini: 275
Dimensiuni: 152 x 216 x 20 mm
Greutate: 0.41 kg
Ediția:New.
Editura: Cambridge Scholars Publishing
ISBN-10: 1443841323
Pagini: 275
Dimensiuni: 152 x 216 x 20 mm
Greutate: 0.41 kg
Ediția:New.
Editura: Cambridge Scholars Publishing
Notă biografică
Vincent Charles is currently with CENTRUM Catolica, Graduate School of Business, PUCP, as the Director of CENTRUM Investigacion, and as a full professor and principal investigator. He holds a M.Sc. in Statistics and a Ph.D. in Mathematics-Operations Research and he is a post-doctoral research fellow from the Centre for Maritime Studies, National University of Singapore. He is a certified Six Sigma Black Belt and a Sig Sigma Master Black Belt. He has put almost 15 years of teaching, research and consultancy experience in various countries in the fields of Statistics, Operations Research, Lean Six Sigma, Business Intelligence & Analytics and Marketing Research. His area of research interest includes stochastic programming, new product development, performance management - productivity, efficiency and service quality gap analysis. He has published over 60 research papers which can be seen in refereed proceedings, journals of repute, such as Annals of OR, European Journal of OR, OR Letters, Omega: An International Journal of Management Science, International Journal of Production Economics, The Service Industry Journal, etc. He is the Editor-in-Chief of the JCC: The Business and Economics Research Journal. He is a recipient of many international academic honors and awards. Since 2010, he has been regularly listed in various series of the International Biographical Centre, Great Britain, and MARQUIS Who's Who, USA, among others. He won the best research paper award (2006) in Finance from the Centre for Financial Excellence, KLS' IMER, Belgaum. And for two consecutive years, 2010 and 2011, he was the recipient of the Highly Commended Award of the Emerald/CLADEA Latin American Management Research Fund Award. He wrote the Indian version of the book entitled Quantitative Analysis for Management, Pearson Prentice Hall. He has been serving as a referee in journals of high repute. He has been rendering consultancy services to various renowned industries as well has organized an ample number of conferences, management/executive development programs and workshops in his field of expertise for corporate and academia. Mukesh Kumar obtained his PhD in Economics from Indian Institure of Technology, Kharagpur (India). Currently, he is a full-time Professor and Principal Investigator at CENTRUM Catolica, Graduate School of Business, Pontificia Universidad Catolica del Peru, Lima, Peru. Earlier, he worked as an Associate Professor in Management and Science University (MSU), Malaysia and Assistant Professor in ICFAI Business School Hyderabad (India). He has more than 12 years of experience in teaching courses in Economics, Econometrics, Research Methodology and Marketing Research at undergraduate as well as postgraduate level. His area of research interest includes performance measurement using data envelopment analysis and service quality management. He has more than 40 research papers in refereed journals/edited book/monograph and presented his work in numerous national and international conferences. He has received honours and awards in various occasions including highly commended award consecutively for two years from Emerald Publishing Group. He was the founding consulting editor of ICFAI Journal of Industrial Economics and currently he serves as the reviewres for many International peer-reviewed journals. Some of his recent contributions can be seen in International Journal of Production Economics, Omega: An International Journal of Management Science, The Service Industries Journal, International Journal of Productivity & Performance Management, Managing Service Quality and International Journal of Quality & Reliability management.