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"The importance of benchmarking in the service sector is well recognized as it helps in continuous improvement in products and work processes. Through benchmarking, companies have strived to implement best practices in order to remain competitive in the product- market in which they operate. However studies on benchmarking, particularly in the software development sector, have neglected using multiple variables and therefore have not been as comprehensive. Information Theory and Best Practices in the IT Industry fills this void by examining benchmarking in the business of software development and studying how it is affected by development process, application type, hardware platforms used, and many other variables. Information Theory and Best Practices in the IT Industry begins by examining practices of benchmarking productivity and critically appraises them. Next the book identifies different variables which affect productivity and variables that affect quality, developing useful equations that explaining their relationships. Finally these equations and findings are applied to case studies. Utilizing this book, practitioners can decide about what emphasis they should attach to different variables in their own companies, while seeking to optimize productivity and defect density."--Publisher's website

Essential for students, researchers, and healthcare professionals keen on understanding the changing healthcare landscape, this work explores the shift to virtual healthcare emphasizing OHC's engagement, expertise sharing, and capacity for industry transformation, especially across tech-driven nations such as India.

Business process re‐engineering must be understood in the context of the dynamics (internal and external) and the signals emanating from both the organization and the operating environment.

Ethics is an all-pervasive subject of business, but its presence is rarely observed and measured in matters of corporate governance. From ethical point of view, the aim of corporate governance should be to ensure that certain moral standards are maintained and the legal system should be complied to while dealing with both external and internal business decisions that impact the stakeholders. However, the reality is that the companies concentrate on efficient governance mechanism at the cost of non-investor stakeholders with the objective to increase shareholder profitability and firm's short term financial value. This phenomenon gets pronounced in emerging markets. In this context, this study provides a detailed framework and a model for analysing how the governance and legal framework have an effect on the ethical behaviour of firms in 21 emerging markets. The findings of the study suggest that corporate governance and its legal framework do have an impact on ethical behaviour of firms in emerging markets. The results also suggest that firms operating in these countries tend to have a direct relationship with legal system and ethical behaviour and negative relationship with corporate governance and ethical behaviour.

This book gives a scientific and systematic approach to trading in emerging stock markets. As professional traders do not trade purely on the basis of the economic fundamentals, but also take into account market movements generated by other factors (noise trading), knowledge of technical analysis is important to anyone who would like to participate successfully in the stock market. Second, the existence of a skew towards reliance on fundamental analysis at longer horizons suggests that models based on economic considerations will be more important on the long run. Third, the existence of a skew towards reliance on technical analysis at shorter horizons suggests that models based on short term considerations (noise) will be more important in the short term. The present book gives a base for practitioners as well as students to learn the tricks of the trade through examples and case studies.--

This book provides a practical approach to designing and implementing a Knowledge Management (KM) Strategy. The book explains how to design KM strategy so as to align business goals with KM objectives. The book also presents an approach for implementing KM strategy so as to make it sustainable. It covers all basic KM concepts, components of KM and the steps that are required for designing a KM strategy. As a result, the book can be used by beginners as well as practitioners. Knowledge management is a discipline that promotes an integrated approach to identifying, capturing, evaluating, retrieving, and sharing all of an enterprise's information assets. These assets may include databases, documents, policies, procedures, and previously un-captured expertise and experience in individual workers. Knowledge is considered to be the learning that results from experience and is embedded within individuals. Sometimes the knowledge is gained through critical thinking, watching others, and observing results of others. These observations then form a pattern which is converted in a 'generic form' to knowledge. This implies that knowledge can be formed only after data (which is generated through experience or observation) is grouped into information and then this information pattern is made generic wisdom. However, dissemination and acceptance of this knowledge becomes a key factor in knowledge management. The knowledge pyramid represents the usual concept of knowledge transformations, where data is transformed into information, and information is transformed into knowledge. Many organizations have struggled to manage knowledge and translate it into business benefits. This book is an attempt to show them how it can be done.

Particularly in developing economies, there is a need for business alignment with innovation strategy and execution of strategies. The authors demonstrate through real-world examples and case studies how a firm can use innovation at all levels (strategic, functional and operational) to provide benefits to the entire value chain.

Fashion is a glamorous industry, one of beauty, money, fame, and huge profits. However, from the inside, it is clear the industry is suffering. An industry worth $3 Billion (USD), the fashion industry is characterized by products with a short shelf-life, wrong forecasts, low profits, and ever-increasing competition. On the periphery, technology is rapidly invading the fashion industry, with emerging forms such as Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Networks, Human-Robot Interface, making their way into this industry in recent years. AI in Fashion Industry discusses recent developments in fashion forecasting, developing a 'framework of AI-based fashion forecasting' and validates the framework with a qualitative case study of the world's first fashion intelligence company based in Bengaluru, India. This book studies the relationship between fashion and social media engagement of consumers, before moving on to create a 'conceptual framework of fashion e-forecasting.' The case study addresses the forecasting-based business problem of a family-owned fashion retail business. This book is unique, suggesting a novel method of fashion product development in the light of data-driven intelligence; documenting some of the rapid developments in the field with the onset of technology and addressing some of the fundamental questions that are becoming more relevant in recent years.

Introduction to Business Research -- Business Research Process -- Business Research Design: An Overview -- Exploratory Research Design -- Descriptive Research Design -- Causal Research Design: Experimentation -- Measurement and Scaling -- Questionaire Design -- Data Preparation and Preliminary Analysis -- Analysis of Variance (ANOVA) -- Regression Analysis -- Factor Analysis -- Cluster Analysis -- Logistic Regression -- Business Research Reports

This book deals with complex variants of Travelling Salesman Problem (TSP) and Vehicle Routing Problem (VRP) within the manufacturing and service industries. The objective is to develop heuristics for these supply chain problems in order to offer practical solutions to improve operational efficiency. These heuristics are evaluated using benchmark and derived data-sets. Case studies pertaining to logistics in different industries including textile machinery manufacturing and banking are also included to demonstrate the created heuristics. High competition in today's global market has forced the organizations to invest in and focus on their logistics system. The critical function of logistics is the transportation within and across various supply chain entities. Both supply and distribution procedure require effective transportation management. A small improvement in routing problems can lead to huge logistics savings in absolute terms. This book should appeal to executives, researchers and consultants seeking supply chain management solutions.

"Abstract" -- "Abbreviations" -- "Contents" -- "List of Figures" -- "List of Tables" -- "Chapter 1: Introduction" -- "1.1 Introduction" -- "1.2 Evolution of Hospitals: A Journey from Past to Present" -- "1.2.1 Roman Empire" -- "1.2.2 Medieval Persia and Islam" -- "1.2.3 Medieval Europe" -- "1.2.4 Colonial America" -- "1.2.5 Incredible India" -- "1.2.6 Modern Era" -- "1.3 Types of Hospitals" -- "1.3.1 General Hospitals" -- "1.3.2 Specialty Hospitals" -- "1.3.3 Super Speciality and Multispecialty Hospitals" -- "1.3.4 Teaching Hospitals" -- "1.3.5 Clinics" -- "1.4 Hospital Departments" -- "1.5 Types of Patients" -- "1.6 Public and Private Sectors" -- "1.7 Customer of a Hospital" -- "1.8 Patient Satisfaction Scenario in Modern Hospitals" -- "1.9 Why Cardiac Care?" -- "1.10 Quality Cardiac Care Is the Need of the Hour" -- "1.11 Motivation for the Research" -- "1.12 The Structure of the Book" -- "1.13 Conclusion" -- "Chapter 2: Literature Review" -- "2.1 Introduction" -- "2.2 First Stage: Literature on Demographics" -- "2.3 Second Stage: Literature on SERVQUAL" -- "2.4 Third Stage: Literature on Data Mining Techniques" -- "2.5 Conclusion" -- "Chapter 3: Research Gap, Objectives and Scope" -- "3.1 Introduction" -- "3.2 Research Gaps" -- "3.2.1 Issue 1" -- "3.2.2 Issue 2" -- "3.2.3 Issue 3" -- "3.2.4 Issue 4" -- "3.3 Objectives of the Study" -- "3.4 Scope of the Research" -- "3.5 Conclusion" -- "Chapter 4: Methodology" -- "4.1 Introduction" -- "4.2 Data Collection" -- "4.3 Sampling Design" -- "4.3.1 Sampling Unit" -- "4.3.2 Sampling Frame" -- "4.3.3 Sampling Method" -- "4.3.4 Sample Size" -- "4.3.5 Scale Used in Data Collection" -- "4.4 Research Instrument" -- "4.5 Model Justification" -- "4.6 Objective 1: Demographic and Clinical Variables" -- "4.6.1 'Z' Test" -- "4.7 Objective 2: Developing a Causal Model Using SEM

As manufacturing companies become global, excellence will be key to the survival of Indian manufacturing businesses. Despite India's good performance on the export front in recent years, India is being outperformed by its competitors. Indian manufacturing companies must compete with global companies and become world class organizations to be competitive. Organizational Culture and its Impact on Continuous Improvement in Manufacturing presents detailed insights into recent studies, providing solutions that can be scaled up at a global level. The lack of competitiveness of Indian companies is attributed to culture in the organization as well as an inability to introduce world class manufacturing tools which would allow them to become globally competitive. All the qualities needed to become world class are not currently available, and it is imperative to understand this gap through the detailed research this book presents to ensure India's manufacturing companies can compete.