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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.
This monograph, as entitled, defines and describes the research
field at the interface of Finance, Operations, and Risk Management
(iFORM), provides examples where operations and finance overlap in
meaningful ways, outlines promising research directions, and
reduces the entry cost for anyone who would like to explore this
new and exciting research field. The intended audience for this
article includes both PhD students in operations management (OM),
finance, and economics, who are looking for dissertation topics,
and experienced researchers looking for novel applications of their
expertise. The following outlines the rest of this article. Chapter
2 compares perspectives of finance and operations on the same
topic: the firm. This motivates the key questions in finance, which
is presented in the finance primer in chapter 3 and key questions
in OM, which is presented in the OM primer in chapter 4. Having
discussed key ideas from these disciplines separately, chapter 5
examines how OM and finance intersect in meaningful ways and
suggest several promising research directions. Chapter 6 presents a
"dos and don'ts" list for publishing and reviewing iFORM papers.
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