Embracing Green Energy in American Business Operations

This book's key contribution is to explore models, theories, and company practices to contribute to our understanding of how companies, organizations, and networks can design, implement, and apply DBMs, which is emphasized as an under-researched area by a number of authors (Westerman et al. 2014; Raskino and Waller 2015; Rogers 2016; Berendsen and Beckett 2017). Another addition of this book is to look at DBMs in many contexts, as digitalization can take many different shapes and be incorporated in a variety of ways, each with its own set of objectives, potentials, and outputs. Finally, a major goal and contribution is to investigate the theoretical concepts of DBMs in order to facilitate further development and research among academic communities, as well as to inspire existing companies and start-ups to explore and seize digital opportunities while benefiting from digital networks, processes, and platforms in the development of new and better business models for the future.

While this volume focuses on the theoretical and research-based potentials of DBMsThe 3DCM model (Chan 2015) incorporates strategy and tactics and improves usability through a 2D format.

The 3DCM represents the core layer of IoT business modeling literature. However, the new add-ons do not consistently address the issues raised by prior authors. For example, revenue sources and cost structures among collaborators remain unclear. Furthermore, no tools are offered, indicating that the model lacks usability and maturity. The necessity for the adoption of new BM frameworks capable of capturing the new value and revenue streams of data, as well as the IoT architecture and ecosystem interconnection as essential components of BMs in a digital economy. Thus, in this chapter, we try to throw light on some of the emerging research streams and trends in DBM and IoT business modeling, which are expected to witness significant developments in the next decades as digitalization alters business and society. However, numerous researchers emphasize that without interdisciplinary effort, which includes research conducted by scholars from other disciplines (Nambisan et al. 2017) and addressing competing concerns (Svahn et al. 2017), valuable theoretical advances in this field of research are unlikely to be realized. The goal of this book is to help fill this hole by providing one of the first research- and case-based textbooks on DBMs aimed at worldwide universities and learning organizations, as well as their lecturers/professors and students.

The Internet of Things (IoT) is expected to generate $14 trillion in revenue over the next decade

from 2010 to 2020 (Bort 2013), and with the integration of IoT and digitalization, companies now have access to Big Data to explore in developing existing and new businesses, processes, networks, and ecosystems. Despite the fact that IoT technology have been accessible for over 10 years, managers continue to seek creative business strategies to monetize IoT-enabled markets. Digital transformation is touching every business sector, and as investor capital, top talent, and customers migrate to network-centric enterprises, the performance gap between early and late adopters widens. New, scalable, digitally networked business models—such as those of Amazon, Google, Uber, and Airbnb—have an impact on the growth, scalability, and profit potential of enterprises across all industries (Libert et al. 2016). Annabeth Aagaard is an associate professor at Aarhus University in Denmark, where she teaches and does research on strategic company development, digital and sustainable business models, and open innovation. She is the Centre Director of the Centre for Business Development, which combines research in digital technologies and business development. She is also the CEO and owner of KnowledgeHouse, a consultancy company that has planned and implemented plans and management strategies for the top 100 companies in Scandinavia. She has 20 years of experience in these domains, drawing on her previous roles as a manager and management specialist in academia, the public, and private sectors. 

She has written nine textbooks and management handbooks

as well as numerous scientific and public articles on management, business models, innovation, and sustainability for scientific journals such as the Journal of Product Innovation Management, Creativity and Innovation Management, and the Scandinavian Journal of Management. She is currently working on a book on Sustainable Business Models for Palgrave Macmillan, as well as two national industry-sponsored projects on digital business models and two Internet of Things projects, an IoT crawler and an NGI move (Next Generation Internet) funded by the European Commission. Anja Bechmann is an Associate Professor, Center Director at DATALAB—Center for Digital Social Research, and a Research Fellow at Aarhus Institute of Advanced Studies at Aarhus University, Denmark. Her research investigates data trails in digital settings, focusing on social media (Facebook and The timing and demand for publications on digital business models (DBMs) has never been more favorable. The first wave of publications on digital transformation and case-based go-to guidance for managers Investors have left a hole, necessitating a new wave of research-based publications on DBMs and digital business development geared for universities, instructors, and students.