Sharing Economy Making Supply Meet Demand /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Hu, Ming (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Springer Series in Supply Chain Management, 6
• Θέματα: Business logistics.; Operations research.; Decision making.; Supply Chain Management.; Operations Research/Decision Theory.

 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. 

 Introduction -- Part I Impact of Sharing Economy -- Peer-to-Peer Product Sharing -- The Strategic and Economic Implications of Consumer-to-Consumer Product Sharing -- Operational Factors in the Sharing Economy: A Framework -- Ride Sharing -- Part II Intermediary Role of a Sharing Platform -- The Role of Surge Pricing on a Service Platform with Self-Scheduling Capacity -- Time-Based Payout Ratio for Coordinating Supply and Demand on an On-demand Service Platform -- Pricing and Matching in the Sharing Economy -- Large-Scale Service Marketplaces: The Role of the Moderating Firm -- Inducing Exploration in Service Platforms -- Design of an Aggregated Marketplace Under Congestion Effects: Asymptotic Analysis and Equilibrium Characterization -- Operations in the On-Demand Economy: Staffing Services with Self-Scheduling Capacity -- On Queues with a Random Capacity: Some Theory, and an Application -- Part III Crowdsourcing Management -- Online Group Buying and Crowdfunding: Two Cases of All-or-Nothing Mechanisms -- Threshold Discounting: Operational Benefits, Potential Drawbacks, and Optimal Design -- Innovation and Crowdsourcing Contests -- Part IV Context-Based Operational Problems in Sharing Economy -- Models for Effective Deployment and Redistribution of Shared Bicycles with Location Choices -- Bike Sharing -- Operations Management of Vehicle Sharing Systems -- Agent Pricing in the Sharing Economy: Evidence from Airbnb -- Intermediation in Online Advertising.