Transactions have always taken place. For hundreds of years that ‘place’ was a market or, more recently, a shopping mall. But in the past two decades these physical locations have increasingly been replaced by their virtual counterparts – online platforms. Here, author Michael C. Munger demonstrates how these platforms act as matchmakers or middlemen, a role traders have adopted since the very first exchanges thousands of years ago. The difference today is that the matchmakers often play no direct part in buying or selling anything – they just help buyers and sellers find each other. Their major contribution has been to reduce the costs of organising and completing purchases, rentals or exchanges. The Sharing Economy: Its Pitfalls and Promises contends that the key role of online platforms is to create reductions in transaction costs and it highlights the importance of three ‘Ts’ - triangulation, transfer and trust – in bringing down those costs.

When Robin Chase cofounded Zipcar, she not only started a business but established the foundation for one of the most important economic and social ideas of our time: the collaborative economy. With this important book, she broadens our thinking about the ways in which the economy is being transformed and shows how the Peers Inc model is changing the very nature of capitalism. When the best of people power is combined with the best of corporate power to form "Peers Inc" organizations, a potent creative force is released. The "Inc" in these collaborations delivers the industrial strengths of significant scale and resources, and the "Peers" bring together the individual strengths of localization, specialization, and customization, unlocking the power of the collaborative economy. When excess capacity is harnessed by the platform and diverse peers participate, a completely new dynamic is unleashed. In Peers Inc, Robin Chase brings her provocative insights to work, business, the economy, and the environment, showing: How focusing on excess capacity transforms the economics of what's possible and delivers abundance to all How the new collaboration between the Inc and the Peers enables companies to grow more quickly, learn faster, and deliver smarter products and services How leveraging the Peers Inc model can address climate change with the necessary speed and scale How the Peers Inc model can help legacy companies overcome their shortening life cycle by inviting innovation and evolution Why power parity between the Peers and the Inc is a prerequisite for long-term success How platforms can be built within the existing financial system or outside of it What government can do to enhance economic possibility and protect people working in this new decentralized world Chase casts a wide net, illuminating the potential of the Peers Inc model to address broader issues such as climate change and income inequality, and proves the impact that this innovative economic force can have on the most pressing issues of our time.

With the rollback of net neutrality, platform cooperativism becomes even more pressing: In one volume, some of the most cogent thinkers and doers on the subject of the cooptation of the Internet, and how we can resist and reverse the process.

Airbnb facilitates the booking of over 37 million overnight stays per year. Uber operates in 450 cities in 60 countries. Both claim to be part of the rapidly growing ‘sharing economy’ — but what does that actually mean? Here, Tom Slee offers a razor-sharp examination of the ‘sharing economy’: from its genesis in open-source software and media file sharing, through to the present day popularity of Uber, Airbnb, Taskrabbit, and similar services, which operate outside of normal business regulations, taking on none of the risk or responsibility when something goes wrong. He asks, how did we get from the generosity of what’s mine is yours, to the self-interest and greed of what’s yours is mine?

Sharing instead of owning is one of the major trends in modern (business) life. By changing how people consume, the rise of the sharing economy has the potential to redefine the role of owners, consumers and producers, change their mode of transaction, create innovative business models, disrupt existing industries, and challenge political and regulative institutions. In addition to these practical implications, the sharing economy phenomenon represents a novel playground for theoretical advancement, attracting a multitude of research and researchers from different disciplines. While this can potentially open up new avenues for practice and theory to stimulate each other, they do not seem to go hand-in-hand at the moment. This volume brings together research from a wide variety of theoretical backgrounds and disciplines to encourage academic discourse on the sharing economy phenomenon. It comprises contributions that are grounded in different theoretical perspectives, including business history, economics, strategic management, organization studies, information systems, political science, legal studies, linguistics, and semantics. While all contributions focus on the sharing economy phenomenon, they examine the subject from different disciplinary angles. Together, they provide a coherent and comprehensive overview of research on the sharing economy.

A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry

Silicon Valley technology is transforming the way we work, and Uber is leading the charge. An American startup that promised to deliver entrepreneurship for the masses through its technology, Uber instead built a new template for employment using algorithms and Internet platforms. Upending our understanding of work in the digital age, Uberland paints a future where any of us might be managed by a faceless boss. The neutral language of technology masks the powerful influence algorithms have across the New Economy. Uberland chronicles the stories of drivers in more than twenty-five cities in the United States and Canada over four years, shedding light on their working conditions and providing a window into how they feel behind the wheel. The book also explores Uber’s outsized influence around the world: the billion-dollar company is now influencing everything from debates about sexual harassment and transportation regulations to racial equality campaigns and labor rights initiatives. Based on award-winning technology ethnographer Alex Rosenblat’s firsthand experience of riding over 5,000 miles with Uber drivers, daily visits to online forums, and face-to-face discussions with senior Uber employees, Uberland goes beyond the headlines to reveal the complicated politics of popular technologies that are manipulating both workers and consumers.

A simple, powerful idea that's reinventing the way smart, adaptive companies do business. Most businesses follow the same basic formula: create a product or service, sell it, and collect money. What Lisa Gansky calls "Mesh" businesses throw this model out the window. Instead, these companies use social media, wireless networks, and data crunched from every available source to provide people with goods and services at the exact moment they need them, without the burden and expense of owning them outright. The Mesh gives companies a better understanding of what customers really want. Already, hundreds of successful Mesh companies are redefining how we interact with the people, goods, and services in our lives. These businesses are easier to start and spreading like wildfire, from bike sharing and home exchanges to peer-to-peer lending, energy cooperatives, and open source design. Consider: • ZipCar profits from streamlined car sharing • Kickstarter connects artists with funding from enthusiastic supporters • Music Gym makes finding a recording studio as easy as joining a gym The Mesh reveals the next wave of information-enabled commerce, showing readers how to plug in and profit.

If you want your startup to succeed, you need to understand why startups fail. “Whether you’re a first-time founder or looking to bring innovation into a corporate environment, Why Startups Fail is essential reading.”—Eric Ries, founder and CEO, LTSE, and New York Times bestselling author of The Lean Startup and The Startup Way Why do startups fail? That question caught Harvard Business School professor Tom Eisenmann by surprise when he realized he couldn’t answer it. So he launched a multiyear research project to find out. In Why Startups Fail, Eisenmann reveals his findings: six distinct patterns that account for the vast majority of startup failures. • Bad Bedfellows. Startup success is thought to rest largely on the founder’s talents and instincts. But the wrong team, investors, or partners can sink a venture just as quickly. • False Starts. In following the oft-cited advice to “fail fast” and to “launch before you’re ready,” founders risk wasting time and capital on the wrong solutions. • False Promises. Success with early adopters can be misleading and give founders unwarranted confidence to expand. • Speed Traps. Despite the pressure to “get big fast,” hypergrowth can spell disaster for even the most promising ventures. • Help Wanted. Rapidly scaling startups need lots of capital and talent, but they can make mistakes that leave them suddenly in short supply of both. • Cascading Miracles. Silicon Valley exhorts entrepreneurs to dream big. But the bigger the vision, the more things that can go wrong. Drawing on fascinating stories of ventures that failed to fulfill their early promise—from a home-furnishings retailer to a concierge dog-walking service, from a dating app to the inventor of a sophisticated social robot, from a fashion brand to a startup deploying a vast network of charging stations for electric vehicles—Eisenmann offers frameworks for detecting when a venture is vulnerable to these patterns, along with a wealth of strategies and tactics for avoiding them. A must-read for founders at any stage of their entrepreneurial journey, Why Startups Fail is not merely a guide to preventing failure but also a roadmap charting the path to startup success.

World-renowned economist Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolu­tion, which will fundamentally alter how we live and work. Schwab argues that this revolution is different in scale, scope and complexity from any that have come before. Characterized by a range of new technologies that are fusing the physical, digital and biological worlds, the developments are affecting all disciplines, economies, industries and governments, and even challenging ideas about what it means to be human. Artificial intelligence is already all around us, from supercomputers, drones and virtual assistants to 3D printing, DNA sequencing, smart thermostats, wear­able sensors and microchips smaller than a grain of sand. But this is just the beginning: nanomaterials 200 times stronger than steel and a million times thinner than a strand of hair and the first transplant of a 3D printed liver are already in development. Imagine “smart factories” in which global systems of manu­facturing are coordinated virtually, or implantable mobile phones made of biosynthetic materials. The fourth industrial revolution, says Schwab, is more significant, and its ramifications more profound, than in any prior period of human history. He outlines the key technologies driving this revolution and discusses the major impacts expected on government, business, civil society and individu­als. Schwab also offers bold ideas on how to harness these changes and shape a better future—one in which technology empowers people rather than replaces them; progress serves society rather than disrupts it; and in which innovators respect moral and ethical boundaries rather than cross them. We all have the opportunity to contribute to developing new frame­works that advance progress.