Three Provocations for Civic Crowdfunding1 Rodrigo Davies
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The Market Impacts of Sharing Economy Entrants: Evidence from USA and China
Electronic Commerce Research https://doi.org/10.1007/s10660-018-09328-1 The market impacts of sharing economy entrants: evidence from USA and China Yue Guo1,2 · Fu Xin1 · Xiaotong Li3 © The Author(s) 2019 Abstract This paper studies the link between the difusion of the sharing economy and tra- ditional mature industries by empirically examining the economic impacts of shar- ing economy entrants. This study adds to the ongoing debate over whether and how ride-hailing platforms infuence new car sales in USA and China. Our results sug- gest that the short-term impact of Didi Chuxing’s entry on new car sales is positive. Unlike the efect of Didi Chuxing on new car sales in China, Uber’s entry nega- tively infuences new car sales in USA. The entry of Didi Chuxing is related to a 9.24% increase in new car sales in China and the entry of Uber is related to an 8.1% decrease in new car sales in USA. We further empirically confrm that the impact of ride-hailing companies is trivial in small cities. Keywords Collaborative consumption models · Uber · Didi · Ride-hailing services · Sharing economy · Two-sided platforms 1 Introduction Over the last few years, the rapid proliferation of smartphones and the associated applications have fueled rapid growth of the online sharing economy, such as those of Uber, Airbnb, Lyft, Turo, and Peerby. These emerging online peer-to-peer plat- forms, collectively known as ‘collaborative consumption’, have made a great deal * Fu Xin [email protected] * Xiaotong Li [email protected] Yue Guo [email protected] 1 Hohai Business School, Hohai University, Nanjing, China 2 King’s Business School, King’s College London, London, UK 3 College of Business, University of Alabama in Huntsville, Huntsville, AL 35899, USA Vol.:(0123456789)1 3 Y. -
Civic Crowdfunding Research: Challenges, Opportunities, and Future Agenda
Open Research Online The Open University’s repository of research publications and other research outputs Civic crowdfunding research: challenges, opportunities, and future agenda Journal Item How to cite: Stiver, Alexandra; Barroca, Leonor; Minocha, Shailey; Richards, Mike and Roberts, Dave (2015). Civic crowdfunding research: challenges, opportunities, and future agenda. New Media & Society, 17(2) pp. 249–271. For guidance on citations see FAQs. c 2014 The Authors Version: Proof Link(s) to article on publisher’s website: http://dx.doi.org/doi:10.1177/1461444814558914 Copyright and Moral Rights for the articles on this site are retained by the individual authors and/or other copyright owners. For more information on Open Research Online’s data policy on reuse of materials please consult the policies page. oro.open.ac.uk New Media & Society http://nms.sagepub.com/ Civic crowdfunding research: Challenges, opportunities, and future agenda Alexandra Stiver, Leonor Barroca, Shailey Minocha, Mike Richards and Dave Roberts New Media Society published online 24 November 2014 DOI: 10.1177/1461444814558914 The online version of this article can be found at: http://nms.sagepub.com/content/early/2014/11/21/1461444814558914 Published by: http://www.sagepublications.com Additional services and information for New Media & Society can be found at: Email Alerts: http://nms.sagepub.com/cgi/alerts Subscriptions: http://nms.sagepub.com/subscriptions Reprints: http://www.sagepub.com/journalsReprints.nav Permissions: http://www.sagepub.com/journalsPermissions.nav >> OnlineFirst Version of Record - Nov 24, 2014 What is This? Downloaded from nms.sagepub.com by guest on November 25, 2014 NMS0010.1177/1461444814558914new media & societyStiver et al. -
Network Effects, Consumer Expectations and Ride-Hailing Rivalries: Understanding How Platform Entries Influence New Car Sales
Proceedings of the 52nd Hawaii International Conference on System Sciences | 2019 Network Effects, Consumer Expectations and Ride-hailing Rivalries: Understanding How Platform Entries Influence New Car Sales Yue Guo Xiaotong Li Xiaohua Zeng King’s College London University of Alabama in Huntsville King’s College London [email protected] [email protected] [email protected] Abstract platform provider in China1) impact new car sales. Their empirical analysis shows that, within a one-year The gradual entries of ride-hailing platforms period, the entry of Didi Chuxing can meaningfully across China provide us with a unique opportunity to increase new car sales. This result is somewhat examine the interplay among network effects, unexpected because conventional wisdom suggests consumer expectations and platform competition in the that, as using ride-hailing apps becomes more sharing economy. While recent empirical evidence affordable and convenient, most people will have shows that the initial entry of Didi Chuxing (the weaker incentives to purchase a new car. Indeed, many leading ride-hailing platform in China) positively Uber users have postponed their new car purchases impacts new car sales in the short run, our study because of the prevalence of ride-hailing services [24]. demonstrates that, once the time window of Moreover, facing increasingly intense competition investigation is expanded from one year to three years, from the ride-hailing platforms, many taxi companies the impacts of entries on new car sales turn negative. have a strong disincentive to expand their fleets. Guo In addition, our analysis provides evidence suggesting et al. [36] justify their empirical results by pointing out that intensified competition resulting from platform that, as many potential drivers in China need to acquire rivalries can boost new car sales to alleviate the new cars to register for Didi Chuxing, the entries of negative impacts in the short run. -
An Assessment of the Uber App's Normative Practice
An assessment of the Uber app's normative practice Citation for published version (APA): Boshuijzen-Van Burken, C., & Haftor, D. M. (2017). An assessment of the Uber app's normative practice. Philosophia Reformata, 82(2), 192-215. https://doi.org/10.1163/23528230-08202006 DOI: 10.1163/23528230-08202006 Document status and date: Published: 01/01/2017 Document Version: Publisher’s PDF, also known as Version of Record (includes final page, issue and volume numbers) Please check the document version of this publication: • A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. -
The City Accelerator Guide to Urban Infrastructure Finance by Jennifer Mayer Concept Jeneration, LLC
Resilience, Equity and Innovation The City Accelerator Guide to Urban Infrastructure Finance by Jennifer Mayer Concept Jeneration, LLC A special project of Proudly supported by Table of Contents 1 Executive Summary p. 1 2 Background: Fundamentals of p. 7 Infrastructure Capital Finance 3 Bringing Resilience into the p. 11 Capital Planning Process 4 Addressing Equity in the p. 21 Capital Planning Process 5 The Financial Strategy Framework p. 27 Framing: Building the Project Vision, p. 32 Exploring: Identifying Diverse Revenue and Funding Sources, p. 42 Exploring: Identifying Financial Tools, p. 54 Exploring: Considering Alternative Delivery Models, p. 60 Screening: Finding the Right Tools for the Job, p. 72 Implementation: Putting the Strategy into Practice, p. 76 6 The Way Forward: Reaching into p. 79 the Future with Equitable and Resilient Finance Tools 7 Appendices p. 85 1 Executive Summary Capital financing has always involved a kind of time travel. Resilient and equitable financial strategies simply reach into the future in a different way. 1 EXECUTIVE SUMMARY Every week seems to bring another report high- lighting the crumbling state of America’s infrastruc- ture, from lead poisonings in Flint, to levee breaches in Houston, and deteriorating transit systems in Washington, DC and New York. City governments seeking to finance infrastruc- COHORT CITY ture projects face a legacy of past underinvestment, PITTSBURGH which can make improvements or rehabilitation more expensive. They also experience outdated mindsets and siloed and informal project development processes that can increase the challenges involved in solving finan- cial gaps. And if that isn’t enough—cities are also confronted with the need to strengthen infrastructure against extreme weather and sea level rise. -
Crowd-Funding Conservation
Crowd-funding conservation (and other public goods)∗ Erik Ansink,a Mark Koetse,b Jetske Bouma,c Dominic Hauck,b Daan van Soestd August 17, 2017 Abstract We assess the impact of crowd-funding design on the success of crowd-funded public goods using a lab-in-the-field experiment. Our design treatments aim to in- crease the efficiency of crowd-funding campaigns by decreasing possible coordination problems that may occur when potential donors are faced with a multitude of projects to contribute to. Amongst others, we explore the potential of seed contributions and the impact of the attraction effect. We implement our crowd-funding experiment using a web-based user interface with multiple threshold public goods over the course of four days, similar in style to conventional crowd-funding websites. Our results show that such alternative crowd-funding designs do not affect the total amount of contributions, but they do affect coordination. These restuls are confirmed in a follow-up experiment with actual nature conservation projects. JEL Classification: C91, C92, H41, L31 Keywords: Crowd-funding, field experiment, threshold public goods, charitable giving, nature conservation ∗We thank Jos van Ommeren, seminar participants at Vrije Universiteit Amsterdam, EAERE 2017, and the 2017 Workshop on Experimental Economics for the Environment in Bremen for comments, suggestions, and discussion. We thank Natuurmonumenten and Kantar TNS for excellent support and advice. We are grateful to the Netherlands Environmental Assessment Agency for financial support. Ansink, Bouma, and Hauck gratefully acknowledge financial support from the Netherlands Organisation for Scientific Research (NWO) Grant No. 841.12.002. Van Soest gratefully acknowledges receiving funding from the European Commission’s Seventh Framework Program (FP7/2007-2013) Grant No. -
Crowdfunding Public Goods: an Experiment
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Ansink, Erik; Koetse, Mark; Bouma, Jetske; Hauck, Dominic; van Soest, Daan Working Paper Crowdfunding public goods: An experiment Tinbergen Institute Discussion Paper, No. 17-119/VIII Provided in Cooperation with: Tinbergen Institute, Amsterdam and Rotterdam Suggested Citation: Ansink, Erik; Koetse, Mark; Bouma, Jetske; Hauck, Dominic; van Soest, Daan (2017) : Crowdfunding public goods: An experiment, Tinbergen Institute Discussion Paper, No. 17-119/VIII, Tinbergen Institute, Amsterdam and Rotterdam This Version is available at: http://hdl.handle.net/10419/177687 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen -
Boston Employees Receive a 35% Discount on Bus, Train, Or Management Association (ABC Commuter Rail MBTA Passes (Up to $50 Per Month)
Employee Commuter MBTA Discounts Benefit Programs Faculty & Staff Sustainable Tufts is a member of A Better City Transportation Boston employees receive a 35% discount on bus, train, or Management Association (ABC commuter rail MBTA passes (up to $50 per month). Save TMA), which provides incentives cash by using pre-tax money to buy your train, bus, and and programs for encouraging subway tickets and/or your vanpool or commuter parking. Commuting commuters to take public transit, carpool, vanpool, bike, For more details, visit go.tufts.edu/commuterbenefits. and/or walk to work. For more information or to sign up for any ABC TMA programs, visit abctma.com. Employees Students on the Boston campus are eligible to participate in the Boston-based Health Science School students (Medical, following programs: Dental, and Nutrition Schools and Public Health Professional Boston Campus Degree programs) are eligible to purchase an MBTA Guaranteed Ride Home semester or monthly pass at a 25% discount over regular If you use public transit, car/vanpool, bike, or walk to work “T” prices. Each student is entitled to one pass. You must at least three times a week, you can receive up to six free bring your Tufts ID to pick up your pass. For details and the rides home each year for emergencies, unscheduled reimbursement period schedule, visit finance.tufts.edu/ overtime, or illness. Guaranteed rides home are provided controller/bursar/mbta-passes or call the Bursar’s Office through Metro Cab. You can book a cab through the Boston at 617-626-6551. Metro Cab app or by calling 617-782-5500. -
Boston Campus
Employee Commuter MBTA Discounts Benefit Programs Faculty & Staff Boston employees receive a 35% discount on bus, train, or Sustainable Tufts is a member of A Better City commuter rail MBTA passes (up to $50 per month). Save cash Transportation Management by using pre-tax money to buy your train, bus, and subway Association (ABC TMA), which provides incentives and tickets and/or your vanpool or commuter parking. For more programs for encouraging people to commute sustainably. details, visit go.tufts.edu/commuterbenefits. Commuting For more information or to sign up for any ABC TMA programs, visit abctma.com. Boston campus employees are Students go.tufts.edu/mbtadiscount eligible to participate in the following programs: Boston-based, full-time students in Tufts Health Science School programs can purchase an MBTA Semester Pass at a Bus + Boat 35% discount. Boston Campus If you currently drive alone to work, 1. Log into SIS: sis.tufts.edu ABC TMA will reimburse you up to $150 for the cost of 2. Navigate to the “Bills & Balances” tab your monthly pass over the course of three months when 3. Click “Purchase MBTA Pass” you switch from driving alone. The pass can be for MBTA Order Fall passes by Aug. 8th and Spring passes by Dec. 8th. express bus, commuter boat, or private bus carrier (Note: Each student is entitled to one pass. this offer does not apply to regular bus or subway services). Transit Tip: Carpool Subsidy Use a Charlie Card to avoid a If you’ve been driving alone to work and surcharge for paper tickets. -
Crowdfunding Public Goods: an Experiment
TI 2017-119/VIII Tinbergen Institute Discussion Paper Crowdfunding public goods: An experiment Erik Ansink1 Mark Koetse3 Jetske Bouma2,3 Dominic Hauck3 Daan van Soest4 1 VU Amsterdam; Tinbergen Institute, The Netherlands 2 Netherlands Environmental Assessment Agency (PBL) 3 Institute for Environmental Studies, Vrije Universiteit Amsterdam 4 Department of Economics and CentER, Tilburg University Tinbergen Institute is the graduate school and research institute in economics of Erasmus University Rotterdam, the University of Amsterdam and VU University Amsterdam. Contact: [email protected] More TI discussion papers can be downloaded at http://www.tinbergen.nl Tinbergen Institute has two locations: Tinbergen Institute Amsterdam Gustav Mahlerplein 117 1082 MS Amsterdam The Netherlands Tel.: +31(0)20 598 4580 Tinbergen Institute Rotterdam Burg. Oudlaan 50 3062 PA Rotterdam The Netherlands Tel.: +31(0)10 408 8900 Crowdfunding public goods: An experiment∗ Erik Ansink,a Mark Koetse,b Jetske Bouma,c Dominic Hauck,b Daan van Soestd December 14, 2017 Abstract We assess the impact of different crowdfunding designs on the success of crowd- funded public goods using a lab-in-the-field experiment. Our design treatments aim to increase the efficiency of crowdfunding campaigns by raising aggregate contributions and decreasing possible coordination problems that may occur when potential donors are faced with a multitude of projects seeking contributions. Amongst others, we explore the potential of seed money and the impact of the attraction effect. Using a four-day time window we implement our crowdfunding experiment using a web-based user interface with multiple threshold public goods, similar in style to conventional crowdfunding websites. We find that such alternative crowdfunding designs affect efficiency via improving coordination, and not so much via affecting total contributions. -
A Machine Learning Framework for Profitability Profiling and Dynamic Price Prediction for the New York City Taxi Trips
International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-9 Issue-5, March 2020 A Machine Learning Framework for Profitability Profiling and Dynamic Price Prediction for the New York City Taxi Trips Shylaja S, Kannika Nirai Vaani M existence for the past few years. Such taxi services that are Abstract: The New York City Taxi & Limousine Commission’s enabled by GPS have the potential to collect the location data (NYC TLC) Yellow cabs are facing increased competition from related to every trip. This is considered a rich source of app-based car services such as Ola, Uber, Didi, Lyft and Grab information to dig into meaningful insights related to demand which is rapidly eating away its revenue and market share. from passengers and the mobility patterns of the passengers. Research work: In response to this, the study proposes to do The recorded GPS data has numerous applications in the profitability profiling of the taxi trips to focus on various key aspects that generate more revenue in future, visualization to Industry of private commercial transportation such as assess the departure and arrival counts of the trips in various identification of popular pickup points, estimation of demand locations based on time of the day to maintain demand and supply as per the day, week or month and monitoring of the traffic. equilibrium and also build a dynamic price prediction model to In general, some of the important questions to be addressed balance both margins as well as conversion rates. to increase the profitability of private commercial Methodology/Techniques used: The NYC TLC yellow taxi trip transportation businesses are (a) which are the popular data is analysed through a cross-industry standard process for destinations most passengers travel to? (b) Which are the data mining (CRISP-DM) methodology. -
Predicting Fundraising Performance in Medical Crowdfunding Campaigns Using Machine Learning
electronics Article Predicting Fundraising Performance in Medical Crowdfunding Campaigns Using Machine Learning Nianjiao Peng 1 , Xinlei Zhou 2 , Ben Niu 1,3 and Yuanyue Feng 1,* 1 College of Management, Shenzhen University, Shenzhen 518061, China; [email protected] (N.P.); [email protected] (B.N.) 2 College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518061, China; [email protected] 3 Greater Bay Area International Institute for Innovation, Shenzhen University, Shenzhen 518061, China * Correspondence: [email protected]; Tel.: +86-18682456820 Abstract: The coronavirus disease (COVID-19) pandemic has flooded public health organizations around the world, highlighting the significance and responsibility of medical crowdfunding in filling a series of gaps and shortcomings in the publicly funded health system and providing a new fundraising solution for people that addresses health-related needs. However, the fact remains that medical fundraising from crowdfunding sources is relatively low and only a few studies have been conducted regarding this issue. Therefore, the performance predictions and multi-model comparisons of medical crowdfunding have important guiding significance to improve the fundraising rate and promote the sustainable development of medical crowdfunding. Based on the data of 11,771 medical crowdfunding campaigns from a leading donation-based platform called Weibo Philanthropy, machine-learning algorithms were applied. The results demonstrate the potential of ensemble-based machine-learning algorithms in the prediction of medical crowdfunding project fundraising amounts and leave some insights that can be taken into consideration by new researchers and help to produce new management practices. Citation: Peng, N.; Zhou, X.; Niu, B.; Keywords: crowdfunding; medical crowdfunding; machine learning; fundraising prediction; weibo Feng, Y.