Sanjay Mohapatra - Böcker

This book offers a conceptual, theoretical, and empirical overview of the role of total quality management (TQM) in Indian higher education from the perspectives of the engineering faculty, students, and alumni. It identifies the critical dimensions to measure the performance of TQM.This volume conceptualizes the service quality of higher education, especially in engineering education, through empirical assessment of the services being provided to major stakeholders like the faculty, the students, and the alumni. It highlights the significance of TQM in creating success stories while discussing the importance of improved productivity and quality in higher education with respect to the quality of engineering educational institutions. Further, the book provides a complete framework for the implementation of TQM in engineering educational institutions.This book will be of interest to students, teachers, and researchers of education and management studies. It will also be useful for educationalists, education administrators, education policymakers and bureaucrats, management professionals, business leaders, and the governing bodies of higher education institutions.

This book offers a conceptual, theoretical, and empirical overview of the role of total quality management (TQM) in Indian higher education from the perspectives of the engineering faculty, students, and alumni. It identifies the critical dimensions to measure the performance of TQM.This volume conceptualizes the service quality of higher education, especially in engineering education, through empirical assessment of the services being provided to major stakeholders like the faculty, the students, and the alumni. It highlights the significance of TQM in creating success stories while discussing the importance of improved productivity and quality in higher education with respect to the quality of engineering educational institutions. Further, the book provides a complete framework for the implementation of TQM in engineering educational institutions.This book will be of interest to students, teachers, and researchers of education and management studies. It will also be useful for educationalists, education administrators, education policymakers and bureaucrats, management professionals, business leaders, and the governing bodies of higher education institutions.

​​Information Strategy Design and Practices develops a framework for designing information technology strategy for an organization. Beyond this, it establishes an approach to not only implement it, but sustain it. The framework explains how IT strategy should have an alignment to business to reap the benefits of business. The book contains five case studies in different domains: retail, real estate development, IT product development, development sector, and education sector. These case studies have been applied to different countries, providing a global prospective to this emerging trend.

​​​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.

​​E-Commerce Strategy: Text and Cases provides the fundamental literature required for graduate students and practitioners to understand electronic commerce. Each chapter provides clearly designed learning objectives and review questions to highlight the major topics and goals. This book covers many of the new innovations and technologies that have been established for e-commerce site development. Unlike similar books, topics such as e-channel adoption, factors affecting e-commerce adoption, and strategy design are reviewed in greater depth. Additionally, the book examines areas not normally covered like open source, online research, and peer-to-peer systems. E-Commerce Strategy: Text and Cases is divided into two parts. Part 1 examines the evolution of e-commerce, analyzes different sectors such as B2B and m-Commerce, and explores the challenges they face. Case studies of well known companies reinforce the concepts learned to demonstrate both successes and failures in the field. Part 2 deals with developing strategies in e-Commerce and looks at future trends including Web 2.0. Overall, the useful guidelines provided should prove valuable to students and researchers in the field.

​Business process reengineering (BPR) focuses on redesigning the strategic and value-added processes which transcend the organizational boundaries. It is a cross-functional approach that requires support from almost all the departments of the organization. Business Process Reengineering: Automation Decision Points in Process Reengineering offers a new framework based process reengineering and links it to organization life cycle, process life cycle, and process management. This volume describes the fundamental concepts behind business process reengineering and examines them through case studies, and should appeal to researchers and academics interested in business process reengineering, operations strategy, and organizational restructuring and design.

​​E-Commerce Strategy: Text and Cases provides the fundamental literature required for graduate students and practitioners to understand electronic commerce. Each chapter provides clearly designed learning objectives and review questions to highlight the major topics and goals. This book covers many of the new innovations and technologies that have been established for e-commerce site development. Unlike similar books, topics such as e-channel adoption, factors affecting e-commerce adoption, and strategy design are reviewed in greater depth. Additionally, the book examines areas not normally covered like open source, online research, and peer-to-peer systems. E-Commerce Strategy: Text and Cases is divided into two parts. Part 1 examines the evolution of e-commerce, analyzes different sectors such as B2B and m-Commerce, and explores the challenges they face. Case studies of well known companies reinforce the concepts learned to demonstrate both successes and failures in the field. Part 2 deals with developing strategies in e-Commerce and looks at future trends including Web 2.0. Overall, the useful guidelines provided should prove valuable to students and researchers in the field.

Business Process Reengineering: Automation Decision Points in Process Reengineering offers a new framework based process reengineering and links it to organization life cycle, process life cycle, and process management.

​​​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.

​​Information Strategy Design and Practices develops a framework for designing information technology strategy for an organization. Beyond this, it establishes an approach to not only implement it, but sustain it. The framework explains how IT strategy should have an alignment to business to reap the benefits of business. The book contains five case studies in different domains: retail, real estate development, IT product development, development sector, and education sector. These case studies have been applied to different countries, providing a global prospective to this emerging trend.

Resource Allocation (RA) involves the distribution and utilization of available resources in the system. Because resource availability is usually scarce and expensive, it becomes important to find optimal solutions to such problems. Thus RA problems represent an important class of problems faced by mathematical programmers. This book focuses on development of models and heuristics for six new and complex sub-classes of RA problems in Supply Chain (SC) networks, focusing on bi-objectives, dynamic input data, and multiple performance measures based allocation and integrated allocation, and routing with complex constraints. It considers six set of variants of the RA problems normally encountered in practice but have not yet been studied. These variants of the classical RA are complex and pertaining to both manufacturing and service industry.

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.

For a company to grow it needs to generate more margin of profit. It can generate more profit if it provides more value to customers. For this, it needs to put more value in each of the value activities. Agrawal, Satpathy, and Mohapatra demonstrate how a firm can use innovation at all levels (strategic, functional and operational) to provide benefits to the entire value chain. Particularly in developing economies, there is a need for business alignment with innovation strategy and execution of strategies, and this book explains these to the readers through real-word examples and case studies, taking the environment into consideration and concentrating on not just growth but sustainable growth.

Change management is a better or smarter approach to initiate a change via behavioral aspects. As it is the power to innovate which is a unique strength for companies, the need for strategies to tackle change management within the firm is evident. This work demonstrates how a firm can learn change management from political upheavals, thus providing benefits to the entire value chain. Through examples and case studies from such unrest throughout India’s diverse history, Mohapatra and Sadangi combine their academic and industry experience to show the need for business alignment with change management strategy.

Software organizations in South Asia have particular organizational cultures and hierarchies, where teamwork and creativity are essential. Investigating research methodologies and collected data from team leaders across these industries, Team Work Quality subjects them to statistical analysis in order to infer how team work quality contributes towards the enhancement of creativity with respect to software organizations.Team Work Quality, a very recent term being widely applied in software organizations across the world now, has been measured in this book using Weimar’s model of Team Work Quality. The relationship of five team characteristics namely, team size, team age, team ethnicity, team role and tenure of the team leader, on the relationship between ‘Team Work Quality’ and ‘Creativity is also explored in this book.Strategies are also offered to software organizations for improving their levels of organizational creativity, through enhancement of Team Work Quality thereby helping its readers in creating a better work environment.

Stock market manipulation is detrimental to traders and corporations, causes unnecessary price fluctuations, and only benefits financial criminals. The research presented here determines an appropriate model to help identify stocks witnessing activities that are indicative of potential manipulation through three separate but related studies.In Developing an Effective Model for Detecting Trade-Based Market Manipulation, classifiers based on three different techniques namely discriminant analysis, a composite classifier based on Artificial Neural Network and Genetic Algorithm and support Vector Machines is proposed. The proposed models help investigators, with varying degree of accuracy, to arrive at a shortlist of securities which could be subject to further detailed investigation to detect the type and nature of the manipulation, if any.Following a fluid outline, Developing an Effective Model for Detecting Trade-Based Market Manipulation, introduces the topic, explores the aims and scopes of the research, before delving into the data and modelling to explore their application to the stock market to detect price manipulation.

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.

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.

Managing big data and data analytics poses unique challenges to many organisations. The effective use of such data is essential to planning business strategies and ensuring future corporate success. Organizations need to know how best to capitalise on the information that they have access to.Enabling Strategic Decision-Making in Organizations through Dataplex breaks down the role of data in strategic decision making, examining the organizational benefits but also utilising real-world examples of limitations and challenges and how these can be overcome. Dataplex allows for the central management of all data resources in the cloud, removing data silos while also maintaining ethical considerations and policies – the intellectual fabric of data provides a path to centrally monitor, manage and rule the data.The use of case studies, frameworks and applied models makes this text applicable to data practitioners, managers and strategic planners, as well as researchers focusing on problem solving at the organizational level.

The importance of automation in the various industries has increased dramatically in recent years; business process automation serves to enhance product quality, improve process safety and plant availability, and efficiently utilize resources and lower emissions. With almost every industry facing sweeping and unprecedented change, Process Automation Strategy in Services, Manufacturing and Construction responds to a rapid pace of transformation that is both a major challenge and a fantastic opportunity.Customers’ expectations grow higher, economic pressures require them to do more with less, and each day new competitors appear. Examining case studies and examples of robotic process automation (RPA) across a range of industries and sectors, the authors explore the links between customer satisfaction and organizational performance, and how automation improves service for the end user.Appealing to business researchers, academics and practitioners, Process Automation Strategy in Services, Manufacturing and Construction brings to life the current trends in process automation and considers what the future holds.

Enhancing the Dining Experience through Augmented and Virtual Reality Technology: An Indian Perspective explores the transformative impact of immersive technologies on food and beverage service operations. With a focus on the Indian hospitality sector, this book examines how augmented reality (AR) and virtual reality (VR) are reshaping the dining experience by creating engaging, multisensory environments. It offers foundational knowledge in food and beverage service, departmental organization, and beverage management while contextualizing these elements within India’s diverse culinary landscape.By integrating advanced technologies into traditional hospitality practices, the book highlights innovative strategies for enhancing guest satisfaction and competitiveness in a post-pandemic world. Drawing on recent research and industry trends, it provides practical insights for hospitality professionals, educators, and students. Topics include the cultural significance of food in India, the structure of service operations, and the adoption of AR/VR to enrich customer engagement. This timely resource equips readers to navigate and contribute to the evolving hospitality industry with a forward-thinking, tech-enabled approach.

The shift from in-person to online health services has now become a driving force in delivering efficient healthcare, especially in developing countries where this need is imperative. The Online Health Community (OHC) serves as a virtual platform where individuals, including patients, medical professionals, caregivers, and families, can learn about illnesses, offer support, and connect with others in similar situations.In The Online Healthcare Community: Pioneering Inclusive Healthcare Support in Developing Countries, authors Amaresh Panda and Sanjay Mohapatra lay the foundation for exploring virtual healthcare practices in India by presenting an overview of the online healthcare concept within the Online Healthcare Community (OHC). They begin by developing a comprehensive literature review, evaluating existing studies, identifying key variables, and tracing the systematic evolution spread over years for OHC. Chapters go on to employ an empirical-deductive approach with a quantitative orientation to evaluate relationships among variables, focusing on stakeholder activities within the online healthcare domain. Their findings offer industry insights and highlight the integral role OHC will play in the future of healthcare.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.

Big Data analytics and machine learning are being adopted in a range of industries – but how can these technologies be utilised and what can they offer to the tourism industry? In the process of their journeys and in their decision-making processes, people who travel contribute to the generation of a huge flow of data; all this information is a potential base for creating smart destinations and improving tourism organizations’ potential to customize their products and service offerings.The real execution of such inventive forms of data-driven value generation in tourism continues to be more restricted to the theory or used in a few exceptional cases. Big data and machine learning techniques in tourism persists as an unclear concept and a subject of investigation that necessitates closer analysis from an extensive range of field and research methods. Big Data Analytics for the Prediction of Tourist Preferences Worldwide tackles this challenge, exploring the benefits, importance and demonstrates how Big Data can be applied in predicting tourist preferences and delivering tourism services in a customer friendly manner.The authors provide theoretical and experiential contributions designed to see a wider adoption of these technologies in the tourism industry.

This book examines the Capacitated Lot Sizing Problem (CLSP) in process industries. In almost all process industries, there are situations where products have short/long setup times, and the setup of the product and its subsequent production are carried over, across consecutive periods. The setup of a product is carried over across more than one successive period in the case of products having long setup times. A product having short setup has its setup time less than the capacity of the period in which it is setup. The setup is immediately followed by its production of the product and it may also be carried over, across successive time period(s). Many process industries require production of a product to occur immediately after its setup (without the presence of idle time between the setup and production of the product), and they also require the product to be continuously produced without any interruption. This book considers a single-machine, single-level and multiple-item CLSP problem. This book introduces the Capacitated Lot Sizing Problem with Production Carryover and Setup Crossover across periods (CLSP-PCSC). Mathematical models are proposed which are all encompassing that they can handle continuous manufacturing (as in process industries), and also situations where the setup costs and holding costs are product dependent and time independent/time dependent, with possible backorders, and with other appropriate adaptations.  Comprehensive heuristics are proposed based on these mathematical models to solve the CLSP-PCSC. The performance of the proposed models and heuristics are evaluated using problem instances of various sizes. This book also covers mathematical models developed for the Capacitated Lot Sizing Problem with Production Carryover and Setup Crossover across periods, and with Sequence-Dependent Setup Times and Setup Costs (CLSP-SD-PCSC). These models allow the presence of backorders and also address real-life situations present in process industries such as production of a product starting immediately after its setup and its uninterrupted production carryover across periods, along with the presence of short/long setup times. Heuristics proposed for the CLSP-PCSC can be extended to address the CLSP problem with sequence dependent setup costs and setup times. All the models and heuristics proposed in this book address some real-life considerations present in process industries.

Since research is best learned by doing, this book emphasizes a hands-on, do-it yourself approach. The book gave emphasis to quantitative data analysis using a software program, IBM SPSS 20.0. This book provides students most extensive help available to learn quantitative data analysis using SPSS.

Mixed Method Research Design

This book examines the modules/elements required before implementing knowledge management solutions in typical manufacturing and service industry. The objective is to develop a framework, design and model suitable for all requirements and a strategy to properly implement. Related case studies from organizations are included, with the results provided to use as a solution to problems experienced when implementing knowledge management in the industry.Implementing a knowledge management system can be complex and dynamic, no matter how well planned and developed. Inevitably a degree of organizational inertia is focused on the current state rather than the new. Within an enterprise, personal and group involvement and interests process status and technology landscape can deflect the commitment needed to successfully implement such a system. Cumulative evidence from past research in knowledge management suggests that effective implementation of KM solution in any organization requires a robust designs and models for various critical elements of process, people and technology. Using the techniques provided in this book, readers should be able to design knowledge management strategies, to align objectives of the KM initiatives with their business goals.

Since research is best learned by doing, this book emphasizes a hands-on, do-it yourself approach. The book gave emphasis to quantitative data analysis using a software program, IBM SPSS 20.0. This book provides students most extensive help available to learn quantitative data analysis using SPSS.

This book deals with complex variants of Travelling Salesman Problem (TSP) and Vehicle Routing Problem (VRP) within the manufacturing and service industries.