Innovative Technology at the Interface of Finance and Operations: Volume II

The book explores the challenges and opportunities of technologies in Operations Management and Finance, covering Big Data, Analytics, AI, Machine Learning, Blockchain, IoT, 3D printing, sharing platforms, crowdfunding, and crowdsourcing. It is suitable for PhD-level courses and self-study.

Format: Paperback / softback
Length: 305 pages
Publication date: 10 June 2023
Publisher: Springer Nature Switzerland AG

This book delves into the complexities and prospects presented by a diverse range of technologies in the context of Operations Management and Finance. It serves as a comprehensive introduction to these fields, providing essential insights and foundational knowledge. The book also explores the transformative impact of innovative technologies and new business models on the practice and theory of Operations Management and Finance, as well as their interconnectedness.

One of the key technologies discussed in the book is Big Data and Analytics. Big Data refers to the vast amounts of data generated by various sources, such as social media, sensors, and transactions. Analytics involves the use of advanced techniques to extract valuable insights from this data, which can be used to improve decision-making processes and optimize business operations. Big Data and Analytics have revolutionized the way businesses operate, enabling them to make data-driven decisions and gain a competitive edge.

Another important technology discussed in the book is Artificial Intelligence (AI). AI is a branch of computer science that enables machines to perform tasks that would normally require human intelligence. AI has been applied in various fields, including finance, healthcare, and transportation. In finance, AI has been used to automate trading, analyze financial data, and make investment decisions. In healthcare, AI has been used to develop new treatments and improve patient care. In transportation, AI has been used to develop self-driving cars and improve traffic flow.

Machine Learning is a subset of AI that involves the use of algorithms to learn from data. Machine Learning has been used in various fields, including finance, healthcare, and transportation. In finance, Machine Learning has been used to develop new trading strategies, analyze financial data, and make investment decisions. In healthcare, Machine Learning has been used to develop new treatments and improve patient care. In transportation, Machine Learning has been used to develop self-driving cars and improve traffic flow.

Blockchain is a distributed ledger technology that enables secure and transparent transactions. Blockchain has been used in various fields, including finance, healthcare, and supply chain management. In finance, Blockchain has been used to develop new financial products, such as cryptocurrencies, and to improve the security of financial transactions. In healthcare, Blockchain has been used to develop new medical records systems and to improve the security of patient data. In supply chain management, Blockchain has been used to improve the efficiency of supply chain operations and to reduce the risk of fraud.

IoT is a network of physical devices, such as sensors, that are connected to the internet. IoT has been used in various fields, including healthcare, transportation, and manufacturing. In healthcare, IoT has been used to monitor patients' health, to develop new treatments, and to improve patient care. In transportation, IoT has been used to develop self-driving cars and to improve traffic flow. In manufacturing, IoT has been used to improve the efficiency of manufacturing operations and to reduce the risk of accidents.

3D printing is a technology that enables the creation of three-dimensional objects from digital designs. 3D printing has been used in various fields, including healthcare, manufacturing, and construction. In healthcare, 3D printing has been used to develop new medical devices, such as prosthetics, and to improve patient care. In manufacturing, 3D printing has been used to develop new products, such as aircraft parts, and to reduce the cost of production. In construction, 3D printing has been used to develop new building materials and to improve the efficiency of construction operations.

Sharing platforms are online platforms that enable individuals to share resources, such as money, goods, and services. Sharing platforms have been used in various fields, including finance, healthcare, and transportation. In finance, sharing platforms have been used to develop new financial products, such as peer-to-peer lending, and to improve the efficiency of financial transactions. In healthcare, sharing platforms have been used to develop new medical records systems and to improve the efficiency of patient care. In transportation, sharing platforms have been used to develop new transportation services, such as ride-sharing and car-sharing.

Crowdfunding is a method of raising funds for projects or businesses by soliciting contributions from a large number of people. Crowdfunding has been used in various fields, including finance, healthcare, and entertainment. In finance, crowdfunding has been used to develop new financial products, such as crowdfunding platforms, and to improve the efficiency of financial transactions. In healthcare, crowdfunding has been used to develop new medical treatments and to improve patient care. In entertainment, crowdfunding has been used to develop new films and music.

Crowdsourcing is a method of obtaining work or services from a large number of people. Crowdsourcing has been used in various fields, including finance, healthcare, and marketing. In finance, crowdsourcing has been used to develop new financial products, such as crowdfunding platforms, and to improve the efficiency of financial transactions. In healthcare, crowdsourcing has been used to develop new medical treatments and to improve patient care. In marketing, crowdsourcing has been used to develop new advertising campaigns and to improve customer engagement.

In conclusion, this book provides a comprehensive overview of the challenges and opportunities presented by innovative technologies and new business models in the context of Operations Management and Finance. It covers a wide range of technologies, including Big Data and Analytics, Artificial Intelligence, Machine Learning, Blockchain, IoT, 3D printing, sharing platforms, crowdfunding, and crowdsourcing. The book is an attractive choice for PhD-level courses and for self-study, and it will help readers gain a deeper understanding of these fields and their impact on the world.

Dimension: 235 x 155 (mm)
ISBN-13: 9783030819477
Edition number: 1st ed. 2022