This accessible Handbook provides an essential entry point for those with an interest in the increasingly complex subject of financial decision-making. It sheds light on new paradigms in society and the ways that new tools from private actors have affected financial decision-making. Covering a broad range of key topics in the area, leading researchers summarise the state of the art in their respective areas of expertise, delineating their projections for the future. Chapters cover both more traditional fields, such as regulation and the role of analysts, and emerging fields, such as artificial intelligence, neurofinance and robo-advising. Organised into three sections, the Handbook first deals with the natural and environmental factors that impact financial decision-making, before moving on to examine the institutions, frameworks, and tools created for the purpose of aiding the decision-making process. It concludes by looking at financial advisors, household finance and enabling financial decision-making. This Handbook will be of great value to scholars and researchers invested in the fields of finance, economic psychology, business management and development. Its comprehensive introduction to current research in accounting and finance alongside multiple topics on technology and decision-making will be invaluable for practitioners, policy makers and regulators too.

This book examines the challenges and opportunities arising from an assortment of technologies as they relate to Operations Management and Finance. It contains primers on operations, finance, and their interface. Innovative technologies and new business models enabled by those technologies are changing the practice and the theory of Operations Management and Finance, as well as their interface. These technologies and business models include Big Data and Analytics, Artificial Intelligence, Machine Learning, Blockchain, IoT, 3D printing, sharing platforms, crowdfunding, and crowdsourcing. The book will be an attractive choice for PhD-level courses and for self-study.

This book examines the challenges and opportunities arising from an assortment of technologies as they relate to Operations Management and Finance. It contains primers on operations, finance, and their interface. Innovative technologies and new business models enabled by those technologies are changing the practice and the theory of Operations Management and Finance, as well as their interface. These technologies and business models include Big Data and Analytics, Artificial Intelligence, Machine Learning, Blockchain, IoT, 3D printing, sharing platforms, crowdfunding, and crowdsourcing. The book will be an attractive choice for PhD-level courses and for self-study.

This book examines the challenges and opportunities arising from an assortment of technologies as they relate to Operations Management and Finance. The book contains primers on operations, finance, and their interface. After that, each section contains chapters in the categories of theory, applications, case studies, and teaching resources. These technologies and business models include Big Data and Analytics, Artificial Intelligence, Machine Learning, Blockchain, IoT, 3D printing, sharing platforms, crowdfunding, and crowdsourcing. The balance between theory, applications, and teaching materials make this book an interesting read for academics and practitioners in operations and finance who are curious about the role of new technologies. The book is an attractive choice for PhD-level courses and for self-study.

This book examines the challenges and opportunities arising from an assortment of technologies as they relate to Operations Management and Finance. The book contains primers on operations, finance, and their interface. After that, each section contains chapters in the categories of theory, applications, case studies, and teaching resources. These technologies and business models include Big Data and Analytics, Artificial Intelligence, Machine Learning, Blockchain, IoT, 3D printing, sharing platforms, crowdfunding, and crowdsourcing. The balance between theory, applications, and teaching materials make this book an interesting read for academics and practitioners in operations and finance who are curious about the role of new technologies. The book is an attractive choice for PhD-level courses and for self-study.