Examples of the value that can be created and captured through crowdsourcing go back to at least 1714 when the UK used crowdsourcing to solve the Longitude Problem, obtaining a solution that would enable the UK to become the dominant maritime force of its time. Today, Wikipedia uses crowds to provide entries for the world's largest and free encyclopedia. Partly fueled by the value that can be created and captured through crowdsourcing, interest in researching the phenomenon has been remarkable. Despite this - or perhaps because of it - research into crowdsourcing has been conducted in different research silos, within the fields of management (from strategy to finance to operations to information systems), biology, communications, computer science, economics, political science, among others. In these silos, crowdsourcing takes names such as broadcast search, innovation tournaments, crowdfunding, community innovation, distributed innovation, collective intelligence, open source, crowdpower, and even open innovation. This book aims to assemble chapters from many of these silos, since the ultimate potential of crowdsourcing research is likely to be attained only by bridging them. Chapters provide a systematic overview of the research on crowdsourcing from different fields based on a more encompassing definition of the concept, its difference for innovation, and its value for both private and public sector.

This book disrupts the way practitioners and academic scholars think about crowds, crowdsourcing, innovation, and new organizational forms in this emerging period of ubiquitous access to the internet. The authors argue that the current approach to crowdsourcing unnecessarily limits the crowd to offering ideas, locking out those of us with knowledge about a problem. They use data from 25 case studies of flash crowds — anonymous strangers answering online announcements to participate in a 7-10 day innovation challenge — half of whom were unleashed from the limitations of focusing on ideas. Yet, these crowds were able to develop new business models, new product lines, and offer useful solutions to global problems in fields as diverse as health care insurance, software development, and societal change. This book, which offers a theory of collective production of innovative solutions explaining the practices that the crowds organically followed, will revolutionize current assumptions about how innovation and crowdsourcing should be managed for commercial as well as societal purposes.

Rooted in strategic management research, Business Model Innovation explores the concepts, tools, and techniques that enable organizations to gain and/or maintain a competitive advantage in the face of technological innovation, globalization, and an increasingly knowledge-intensive economy. Updated with all-new cases, this second edition of the must-have for those looking to grasp the fundamentals of business model innovation, explores the novel ways in which an organization can generate, deliver, and monetize benefits to customers.

Examples of the value that can be created and captured through crowdsourcing go back to at least 1714 when the UK used crowdsourcing to solve the Longitude Problem, obtaining a solution that would enable the UK to become the dominant maritime force of its time. Today, Wikipedia uses crowds to provide entries for the world's largest and free encyclopedia. Partly fuelled by the value that can be created and captured through crowdsourcing, interest in researching the phenomenon has been remarkable. Despite this - or perhaps because of it - research into crowdsourcing has been conducted in different research silos, within the fields of management (from strategy to finance to operations to information systems), biology, communications, computer science, economics, political science, among others.

This book offers a comprehensive review of crowdfunding at Higher Education Institutions, both in theory and practice. In addition, it sheds new light on the emerging concept of crowdfunding at Higher Education Institutions and presents an overview of current academic discussions and best practices regarding crowdfunding in education. Approaching crowdfunding from an integrated perspective, the book explores the relationship between crowdfunding and higher education institutions from both theoretical and practical perspectives. The theory part outlines why higher institutions should interact with crowdfunding platforms beyond the goal of simply raising funds. It continues to define science crowdfunding and education crowdfunding and provides a literature review of education crowdfunding. It follows with an outline of teaching alternative finance theory. The practice part consists of an attempt to develop a core curriculum for teaching crowdfunding, with cases stemming from university education as well as professional education. Two contributions deal with the implementation of crowdfunding platforms at universities. Furthermore, crowdfunding is then connected to non-fungible tokens used to alleviate student debt. Lastly, crowdfunding is put into the context of crowdsourcing practices. It includes contributions from international academics, scholars and professionals in the field and provides a global, multidimensional perspective on crowdfunding. Lastly, the book is unique in that it points the way forward, both for policymakers and for the research community, in terms of thinking about crowdfunding at Higher Education Institutions and the complex issues surrounding its development.

Recent advances in digitization are transforming healthcare, education, tourism, information technology, and some other sectors. Social media analytics are tools that can be used to measure innovation and the relation of the companies with the citizens. This book comprises state-ofthe-art social media analytics, and advanced innovation policies in the digitization of society. The number of applications that can be used to create and analyze social media analytics generates large amounts of data called big data, including measures of the use of the technologies to develop or to use new services to improve the quality of life of the citizens. Digitization has applications in fields from remote monitoring to smart sensors and other devices. Integration generates data that need to be analyzed and visualized in an easy and clear way, that will be some of the proposals of the researchers present in this book. This volume offers valuable insights to researchers on how to design innovative digital analytics systems and how to improve information delivery remotely.

Recent developments of Internet-based digital technologies have revealed a huge potential of developing open, collaborative and network-centred innovation. However, firms face major challenges in using new technologies for rapid prototyping, data-mining, simulation, visualization, etc. to support their Open Innovation strategies.Responding to the need for further conceptual and empirical research on technology-enhanced open innovation, this book provides fresh and topical insights on how firms from different sectors have successfully implemented digital technologies for Open Innovation. Based on rich empirical data, this book discusses the benefits and drawbacks, the processes, the characteristics and the management practices of ICT-driven Open Innovation in private as well as public organizations.