Overview

This edited book examines the challenges and opportunities arising from today’s sharing economy from an operations management perspective.  Individual chapter authors present state-of-the-art research that examines the general impact of sharing economy on production and consumption; the intermediary role of a sharing platform; crowdsourcing management; and context-based operational problems. Sharing economy refers to a market model that enables and facilitates the sharing of access to goods and services. For example, Uber allows riders to share a car. Airbnb allows homeowners to share their extra rooms with renters. Groupon crowdsources demands, enabling customers to share the benefit of discounted goods and services, whereas Kickstarter crowdsources funds, enabling backers to fund a project jointly. Unlike the classic supply chain settings in which a firm makes inventory and supply decisions, in sharing economy, supply is crowdsourced and can be modulated by a platform.The matching-supply-with-demand process in a sharing economy requires novel perspectives and tools to address challenges and identify opportunities. The book is comprised of 20 chapters that are divided into four parts.  The first part explores the general impact of sharing economy on the production, consumption, and society.  The second part explores the intermediary role of a sharing platform that matches crowdsourced supply with demand.  The third part investigates the crowdsourcing management on a sharing platform, and the fourth part is dedicated to context-based operational problems of popular sharing economy applications. “While sharing economy is becoming omnipresence, the operations management (OM) research community has begun to explore and examine different business models in the transportation, healthcare, financial, accommodation, and sourcing sectors. This book presents a collection of the state-of-the-art research work conducted by a group of world-leading OM researchers in this area. Not only does this book cover a wide range of business models arising from the sharing economy, but it also showcases different modeling frameworks and research methods that cannot be missed. Ultimately, this book is a tour de force – informative and insightful!” Christopher S. Tang Distinguished Professor and Edward Carter Chair in Business Administration UCLA Anderson School of Management

Full Product Details

Author:   Ming Hu
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   6
Weight:   0.986kg
ISBN:  

9783030018627

ISBN 10:   3030018628
Pages:   528
Publication Date:   23 January 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

TABLE OF CONTENTS Section 1 Impact of Sharing Economy* Chapter 1 Peer-to-Peer Product Sharing: Implications for Ownership, Usage, andSocial Welfareo Saif Benjaafar (University of Minnesota - Industrial & System Engineering)o Guangwen Kong (University of Minnesota - Industrial & SystemEngineering)o Xiang Li (University of Minnesota - Industrial & System Engineering)o Costas Courcoubetis (Singapore University of Technology and Design(SUTD))* Chapter 2 Collaborative Consumption: Strategic and Economic Implications ofProduct Sharingo Baojun Jiang (Washington University in Saint Louis - John M. Olin BusinessSchool)o Lin Tian (Fudan University - School of Management)* Chapter 3 The Sharing Newsboyso Ming Hu (University of Toronto - Rotman School of Management) Section 2 Intermediary Role of a Sharing Platform* Chapter 4 The Role of Surge Pricing on a Service Platform with Self-SchedulingCapacityo Gerard P. Cachon (University of Pennsylvania - Wharton School)o Kaitlin M. Daniels (University of Pennsylvania - Wharton School)o Ruben Lobel (University of Pennsylvania - Wharton School)* Chapter 5 On-Demand Service Platformso Terry Taylor (U.C. Berkeley - Haas School of Business)* Chapter 6 Managing Congestion in Decentralized Matching Marketso Nick Arnosti (Stanford University - Department of Management Science andEngineering)o Ramesh Johari (Stanford University - Department of Management Scienceand Engineering)o Yash Kanoria (Columbia University - Columbia Business School)* Chapter 7 Price and Wage Selections for an On-demand Service Platformo Jiaru Bai (University of California, IrvinePaul - Merage School of Business)o Rick So (University of California, Irvine Paul - Merage School of Business)o Christopher S. Tang (University of California, Los Angeles)* Chapter 8 Take-Rate Crowdsourcing Contractso Ming Hu (University of Toronto - Rotman School of Management)o Yun Zhou (University of Toronto - Rotman School of Management)* Chapter 9 Dynamic Type Matchingo Ming Hu (University of Toronto - Rotman School of Management)o Yun Zhou (University of Toronto - Rotman School of Management Section 3 Crowdsourcing Management (Group Buying, Crowdfunding, CrowdsourcingContest)* Chapter 10 Simultaneous vs. Sequential Group-Buying Mechanismso Ming Hu (University of Toronto - Rotman School of Management)o Mengze Shi (University of Toronto - Rotman School of Management)o Jiahua Wu (Imperial College London - Imperial College Business School)* Chapter 11 Operational Advantages and Optimal Design of Threshold DiscountingOfferso Simone Marinesi (University of Pennsylvania - Wharton School)o Karan Girotra (INSEAD)o Serguei Netessine (INSEAD)* Chapter 12 Product and Pricing Decisions in Crowdfundingo Ming Hu (University of Toronto - Rotman School of Management)o Xi Li (University of Toronto - Rotman School of Management)o Mengze Shi (University of Toronto - Rotman School of Management)* Chapter 13 A Dynamic Model of Crowdfundingo Saeed Alaei (Google, Inc.)o Azarakhsh Malekian (University of Toronto - Rotman School ofManagement)o Mohamed Mostagir (University of Michigan, Stephen M. Ross School ofBusiness)* Chapter 14 Dynamic Stimulus in Crowdfundingo Longyuan Du (University of Toronto - Rotman School of Management)o Ming Hu (University of Toronto - Rotman School of Management)* Chapter 15 Idea Generation and the Quality of the Best Ideao Karan Girotra (INSEAD)o Christian Terwiesch (University of Pennsylvania - Wharton School)o Karl T. Ulrich (University of Pennsylvania - Wharton School)* Chapter 16 Innovation Contests, Open Innovation, and Multi-Agent Problem Solvingo Christian Terwiesch (University of Pennsylvania - Wharton School)o Yi Xu (University of Maryland - Robert H. Smith School of Business)* Chapter 17 Innovation Tournaments with Multiple Contributorso Laurence Ales (Carnegie Mellon University - Tepper School of Business)o Soo-Haeng Cho (Carnegie Mellon University - Tepper School of Business)o Ersin Koerpeoglu (University College London - School of Management)* Chapter 18 Simultaneous vs. Sequential Crowdsourcing Contestso Ming Hu (Universityof Toronto - Rotman School of Management)o Lu Wang (University of Toronto - Rotman School of Management) Section 4 Context-Based Operational Problems in Sharing Economy (Uber, Airbnb, Car2Goetc.)* Chapter 19 We Are on the Way: Analysis of On Demand Booking Systemso Guiyun Feng (University of Minnesota - Industrial & System Engineering)o Guangwen Kong (University of Minnesota - Industrial & System Engineering)o Zizhuo Wang (University of Minnesota - Industrial & System Engineering)* Chapter 20 Agent Behavior in the Sharing Economy: Evidence from Airbnbo Jun Li (University of Michigan - Ross School of Business)o Antonio Moreno (Northwestern University - Kellogg School of Management)o Dennis J. Zhang (Northwestern University - Kellogg School of Management)Chapter 21 Models for Effective Deployment and Redistribution of Bicycles WithinPublic Bicycle-Sharing Systemso Jia Shu (Southeast University, School of Economics and Management)o Mabel C. Chou (National University of Singapore, NUS Business School)o Qizhang Liu (National University of Singapore, NUS Business School)o Chung-Piaw Teo (National University of Singapore, NUS Business School)o I-Lin Wang (National Cheng Kung University - Department of Industrial andInformation Management)* Chapter 22 Bike-Share Systems: Accessibility and Availabilityo Ashish Kabra (INSEAD)o Elena Belavina (University of Chicago - Booth School of Business)o Karan Girotra (INSEAD)* Chapter 23 Service Region Design for Urban Electric Vehicle Sharing Systemso Long He (National University of Singapore - NUS Business School)o Ho-Yin Mak (Oxford University - Said Business School)o Ying Rong (Shanghai Jiao Tong University - AntaiCollege of Economics andManagement)o Zuo-Jun (Max) Shen (University of California, Berkeley - Department ofIndustrial Engineering and Operations Research)

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Author Information

Ming Hu is a Professor of Operations Management at Rotman School of Management, University of Toronto and one of the 2018 Poets & Quants Best 40 Under 40 MBA Professors. His research has been featured in media such as Financial Times. Most recently, he focuses on operations management in the context of sharing economy, social buying, crowdfunding, crowdsourcing, and two-sided markets, with the goal to exploit operational decisions to the benefit of the society. He is the recipient of Wickham Skinner Early-Career Research Accomplishments Award by POM Society (2016) and Best Operations Management Paper in Management Science Award by INFORMS (2017). He currently serves as the editor-in-chief of Naval Research Logistics, co-editor of a special issue of Manufacturing & Service Operations Management on sharing economy and innovative marketplaces, and associate editor of Operations Research and Manufacturing & Service Operations Management, and senior editor of Production and Operations Management. He received a master's degree in Applied Mathematics from Brown University in 2003, and a Ph.D. in Operations Research from Columbia University in 2009.

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