Sanjay Mohapatra

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 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.

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.

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.

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.

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.

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.

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.

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 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.

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 errorrates 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 illustrates approaches for implementing ICT in primary education. Through different initiatives and case studies, the book shows different approaches for successful implementation of ICT. While it gives details of theoretical concepts related to ICT, it also provides live examples from different initiatives as to how literacy can be achieved through customized implementation strategy. The book illustrates different ICT policies that have been implemented with varying degree of success. It also demonstrates different approaches that would be of interest to practitioners.

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.

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 errorrates 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 is a comprehensive guide to design and conduct the research in management-related field, such as marketing management and human resources management. It provides an overview of the real research conducted by authors throughout their careers and explains the important and growing research design used in management research-mixed method research design. Video tutorials are also included for complete qualitative data collection and data analysis. These videos are included to help readers understand the research and apply the techniques using the recommended software programs. Mixed Method Research Design: An Application in Consumer-Brand Relationships (CBR) begins with an introduction, providing background on the study including related literature in the areas of consumer-brand relationships, which helps the book to show how research questions and research objectives can be developed for the mixed method study. This is followed by a detailed explanation of the methodology, which establishes the ground rule for the study. Finally it takes look at the analysis and results of mixed method research study. Additionally the book examines the procedures of mixing of qualitative and quantitative paradigms in research both in terms of hypothesis development and testing. It helps readers understand how to design their research studies using mixed method design. It also demonstrates managerial implications, to help understand how mixed research design could be used to show contribution to the theory and practice.

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.

This book illustrates approaches for implementing ICT in primary education. Through different initiatives and case studies, the book shows different approaches for successful implementation of ICT. While it gives details of theoretical concepts related to ICT, it also provides live examples from different initiatives as to how literacy can be achieved through customized implementation strategy. The book illustrates different ICT policies that have been implemented with varying degree of success. It also demonstrates different approaches that would be of interest to practitioners.

This book introduces the fundamental principles of understanding business requirements to apply enterprise resource planning (ERP) in order to meet business needs. The book also helps readers understand the usage of ERP for monitoring and controlling business processes, while providing practical oriented solutions to the design and implementation of ERP. Using the provided framework, a business can decide to provide more value at lower cost which increases its competitive advantage. This should be an ideal reference for executives, researchers and consultants in project management of ERP.ERP can be considered to be an integrated package of business process. The scope of ERP determines the extent of automation of business process. For example if ERP covers Human Resource (HR) and finance business processes only, then business process related HR and finance are automated. Typically business process that are automated in HR and finance employee entry and exist process, allocation of employee ID, payroll, processing , income tax planning and actual deduction etc. There is seamless flow of employee data and information is available at an effectively faster rate to take appropriate decision.As custom demand increases, there is a need to meet the changing scenario with speed and efficiency. While there is a need to increase productivity, there is also a need to reduce cost of operation. The repetitive business processes can be handled effectively by automating them and freeing human resources for meeting other uncertainties. These automations not only should be done for each department, but also should cut across different departments. Thus there is a need for automating business processes at enterprise level. This enterprise level automation started with MRP, then MRP II, ERP and then finally open source ERP have taken centre stage. Out of the standard products available in the market, an organization can chose an ERP product for implementation, depending on the features available and the total cost of ownership (TCO). This comparison helps an organization to choose the product that best suits the needs for the organization. Enterprise Resource Planning: Fundamentals of Design and Implementation highlights these concepts while discusses different good practices to design and implement ERP.