Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis
DEA is computational at its core and this book by Zhu and Cook deals with the micro aspects of handling and modeling data issues in modeling DEA problems. DEA's use has grown with its capability of dealing with complex "service industry" and the "public service domain" types of problems that require modeling both qualitative and quantitative data. It is a handbook treatment dealing with specific data problems including the following: (1) imprecise data, (2) inaccurate data, (3) missing data, (4) qualitative data, (5) outliers, (6) undesirable outputs, (7) quality data, (8) statistical analysis, (9) software and other data aspects of modeling complex DEA problems. In addition, the book demonstrates how to visualize DEA results when the data is more than 3-dimensional, and how to identify efficiency units quickly and accurately.
Intellectual Property Management in R&D Collaborations : The Case of the Service Industry Sector
This book of about two hundred and seventy pages examines the complex and challenging problem of how companies can take an intellectual property lead within research and development (R&D) collaborations. … He compiled a typology for managing intellectual property in R&D collaborations.The findings of the book are based on a series of interviews with companies in a variety of industries and regions, as well as on a detailed examination of the service companies IBM, SAP, Swisscom and SwissRe.
E-Services : Opportunities and Threats
This volume presents the best papers of the special issue ‘E-Services’ of the Journal of Value Chain Management. It provides a thorough introduction and systematic overview of the new and emerging field ‘E-Services’.


