This book offers an elaborate and empirical look at service quality of hospitals in the emerging market of India. The poor quality of service is a major issue in a large number of hospitals (particularly in government hospitals), which forces patients to opt for private hospitals that are generally much more expensive than government hospitals. This book provides a comprehensive understanding of service quality antecedents in Indian hospitals. It focuses on patient satisfaction and includes valuable insights and implications for hospital management and government. The book is theoretically grounded in SERVQUAL literature and uses appropriate and sophisticated techniques and tools to analyse data. It highlights causal model development with Structural Equation Modelling (SEM) and introduces a classification model, developed using Artificial Neural Networks (ANNs), in order to benchmark specialty cardiac care. The book also deals with Support Vector Machines (SVMs) and compares the error rates between SVM and ANN to find the best classification technique among the two. Overall, this book is a timely and relevant work that contributes to the theory, practice and policy of service quality in hospitals.
This book offers an elaborate and empirical look at service quality of hospitals in the emerging market of India. The poor quality of service is a major issue in a large number of hospitals (particularly in government hospitals), which forces patients to opt for private hospitals that are generally much more expensive than government hospitals. This book provides a comprehensive understanding of service quality antecedents in Indian hospitals. It focuses on patient satisfaction and includes valuable insights and implications for hospital management and government. The book is theoretically grounded in SERVQUAL literature and uses appropriate and sophisticated techniques and tools to analyse data. It highlights causal model development with Structural Equation Modelling (SEM) and introduces a classification model, developed using Artificial Neural Networks (ANNs), in order to benchmark specialty cardiac care. The book also deals with Support Vector Machines (SVMs) and compares the error rates between SVM and ANN to find the best classification technique among the two. Overall, this book is a timely and relevant work that contributes to the theory, practice and policy of service quality in hospitals.
This book addresses problems related with compiler such as language, grammar, parsing, code generation and code optimization. This book imparts the basic fundamental structure of compilers in the form of optimized programming code. The complex concepts such as top down parsing, bottom up parsing and syntax directed translation are discussed with the help of appropriate illustrations along with solutions. This book makes the readers decide, which programming language suits for designing optimized system software and products with respect to modern architecture and modern compilers.
In Blue three childhood friends spend their last year together in the isolated sea-side town in which they live. In an effort to console their sense of worthlessness, they devise a deadly daily ritual. Together they jump from a point where the cliffs are forty feet above the ocean. In those panicked seconds, plummeting at full force towards the sea, Joe, Des and Danny believe that anything is possible, and that their hopes and dreams may just come true... In ...Touched... Cora and Mikey yearn for Dublin, for a life without darkness, without secrets, without despair. The young sister and brother make a pact to escape, but their flight to Dublin leads them straight into the hands of the street wise, money-hungry Macca, a horrific crime and a city that was far from the paradise they had dreamt about.
Which comes first, loneliness or violence? This is the story of love born in a very dark place between a man who wants to belong and a woman who wants to be forgotten. On a stormy night, they shelter in an abandoned summer home and tentatively discover what it is that they have in common. But just when it seems something beautiful might emerge, the opposite appears. The Magic Tree is an exploration into human behaviour at a time when humanity seems determined to endlessly repeat the mistakes of the past. It looks at why good people are capable of doing bad things and asks if love alone can save us. The Magic Tree opened at the The Assembly Rooms, Edinburgh in August 2008.
Daniel is famous. He has walked away from disaster and turned it into art. As he prepares for the ultimate exhibition of his life, the headlines proclaim him unbreakable. But inside, Daniel is falling apart. LJ has always been a survivor, in total command of her emotions. Since being bound to Daniel by a freak accident, she can’t quite seem to get her heart under control. Steph wants to be special, to have her photo in the paper for once, and not just because she’s Daniel’s sister. Can Karl, who claims to be in ‘production’, invent a future where they both get recognised?
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