Shyama Prasad Mukherjee – författare

Research Methodology is meant to provide a broad guideline to facilitate and steer the whole of a research activity in any discipline. With the ambit and amount of research increasing by the day, the need for Research Methodology is being widely appreciated. Against this backdrop, we notice the dearth of well-written books on the subject. A Guide to Research Methodology attempts a balance between the generic approach to research in any domain and the wide array of research methods which are to be used in carrying out different tasks in any research. Discussions on these research methods appropriate in various disciplines have focused on the research tasks, keeping in mind the fact that a single such task like a comparison among alternatives may involve several methods from seemingly distinct areas.Unique features of this volume, as will be evident to a discerning reader, include: A detailed discussion on problem areas for research in several domains An illustrative and ampliated list of research problems drawn from different disciplines which can be pursued by interested research workers A comprehensive delineation of Research Design supported by illustrations An elaborate engagement with models with a note on model uncertainty Focus on recent and emerging models, methods and techniques A novel treatment of data analysis where the nature of data and the objective(s) of analysis justify drawing upon a variety of techniques for analysisThis book will serve the purpose of a pre-PhD or a Master-level course-work for students of any discipline with a basic knowledge of quantitative analysis. In fact, anyone aspiring to take up meaningful research work will find the content useful and interesting.

Research Methodology is meant to provide a broad guideline to facilitate and steer the whole of a research activity in any discipline. With the ambit and amount of research increasing by the day, the need for Research Methodology is being widely appreciated. Against this backdrop, we notice the dearth of well-written books on the subject.

A Guide to Research Methodology attempts a balance between the generic approach to research in any domain and the wide array of research methods which are to be used in carrying out different tasks in any research. Discussions on these research methods appropriate in various disciplines have focused on the research tasks, keeping in mind the fact that a single such task like a comparison among alternatives may involve several methods from seemingly distinct areas.

Unique features of this volume, as will be evident to a discerning reader, include:

A detailed discussion on problem areas for research in several domains

An illustrative and ampliated list of research problems drawn from different disciplines which can be pursued by interested research workers

A comprehensive delineation of Research Design supported by illustrations

An elaborate engagement with models with a note on model uncertainty

Focus on recent and emerging models, methods and techniques

A novel treatment of data analysis where the nature of data and the objective(s) of analysis justify drawing upon a variety of techniques for analysis

This book will serve the purpose of a pre-PhD or a Master-level course-work for students of any discipline with a basic knowledge of quantitative analysis. In fact, anyone aspiring to take up meaningful research work will find the content useful and interesting.

Research Methodology is meant to provide a broad guideline to facilitate and steer the whole of a research activity in any discipline. With the ambit and amount of research increasing by the day, the need for Research Methodology is being widely appreciated. Against this backdrop, we notice the dearth of well-written books on the subject.

A Guide to Research Methodology attempts a balance between the generic approach to research in any domain and the wide array of research methods which are to be used in carrying out different tasks in any research. Discussions on these research methods appropriate in various disciplines have focused on the research tasks, keeping in mind the fact that a single such task like a comparison among alternatives may involve several methods from seemingly distinct areas.

Unique features of this volume, as will be evident to a discerning reader, include:

A detailed discussion on problem areas for research in several domains

An illustrative and ampliated list of research problems drawn from different disciplines which can be pursued by interested research workers

A comprehensive delineation of Research Design supported by illustrations

An elaborate engagement with models with a note on model uncertainty

Focus on recent and emerging models, methods and techniques

A novel treatment of data analysis where the nature of data and the objective(s) of analysis justify drawing upon a variety of techniques for analysis

This book will serve the purpose of a pre-PhD or a Master-level course-work for students of any discipline with a basic knowledge of quantitative analysis. In fact, anyone aspiring to take up meaningful research work will find the content useful and interesting.

This book discusses the multifaceted nature of organizational excellence and proceeds to consider the roles played by data, technological advances leading to innovation and value-based leadership in guiding an organization in its journey towards excellence. Moving beyond conventional growth metrics, this book presents excellence as a continuous journey of improvement, integrating data-driven decision-making, digital transformation, and value-based leadership. The book highlights the transformative role of AI and advanced digital technologies in optimizing processes, fostering innovation, and enhancing performance measurement. It also explores Six Sigma, Lean Management, reviews frameworks like Baldridge, EFQM, Excellence Canada, and other quality improvement frameworks, emphasizing the need for continuous process refinement. It is an essential resource for leaders, managers, and professionals in management, strategy, operations, and innovation, as well as scholars in management science and organizational development.This book accomplishes the following:Highlights the role of data analytics and AI in process optimization and innovation; explores the critical factors driving sustained organizational successIntroduces scenario planning and robust decision-making to develop strategiesDistinguishes excellence from growth and presents it as a continuous improvement journeyConsiders institutionalized innovation and new product development as essentialCovers Six Sigma, Lean Management, and other methodologies, emphasizes governance, ethics, and corporate social responsibility

This book discusses the multifaceted nature of organizational excellence and proceeds to consider the roles played by data, technological advances leading to innovation and value-based leadership in guiding an organization in its journey towards excellence. Moving beyond conventional growth metrics, this book presents excellence as a continuous journey of improvement, integrating data-driven decision-making, digital transformation, and value-based leadership. The book highlights the transformative role of AI and advanced digital technologies in optimizing processes, fostering innovation, and enhancing performance measurement. It also explores Six Sigma, Lean Management, reviews frameworks like Baldridge, EFQM, Excellence Canada, and other quality improvement frameworks, emphasizing the need for continuous process refinement. It is an essential resource for leaders, managers, and professionals in management, strategy, operations, and innovation, as well as scholars in management science and organizational development.This book accomplishes the following:Highlights the role of data analytics and AI in process optimization and innovation; explores the critical factors driving sustained organizational successIntroduces scenario planning and robust decision-making to develop strategiesDistinguishes excellence from growth and presents it as a continuous improvement journeyConsiders institutionalized innovation and new product development as essentialCovers Six Sigma, Lean Management, and other methodologies, emphasizes governance, ethics, and corporate social responsibility

This book discusses the multifaceted nature of organisational excellence and proceeds to consider the roles played by data, technological advances leading to innovation, and value-based leadership in guiding an organisation in its journey towards excellence. Moving beyond conventional growth metrics, this book presents excellence as a continuous journey of improvement, integrating data-driven decision-making, digital transformation, and value-based leadership. The book highlights the transformative role of AI and advanced digital technologies in optimising processes, fostering innovation, and enhancing performance measurement. It also explores Six Sigma, Lean Management, review frameworks like Baldrige, EFQM, Excellence Canada and other quality improvement frameworks, emphasising the need for continuous process refinement. It is an essential resource for leaders, managers, and professionals in management, strategy, operations, and innovation, as well as scholars in management science and organisational development.

Highlights the role of data analytics and AI in process optimisation and innovation, it explores the critical factors driving sustained organisational success. Introduces scenario planning and robust decision-making to develop strategies Distinguishes excellence from growth and presents it as a continuous improvement journey Considers institutionalised innovation and new product development as essential Covers Six Sigma, Lean Management, and other methodologies, emphasises governance, ethics, and corporate social responsibility