{"id":238184,"date":"2016-05-07T00:00:00","date_gmt":"2016-05-07T07:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/peer-to-peer-in-the-workplace-a-view-from-the-road\/"},"modified":"2022-07-23T01:34:25","modified_gmt":"2022-07-23T08:34:25","slug":"peer-to-peer-in-the-workplace-a-view-from-the-road","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/peer-to-peer-in-the-workplace-a-view-from-the-road\/","title":{"rendered":"Peer-to-peer in the workplace: A view from the road"},"content":{"rendered":"<div class=\"asset-content\">\n<p>This paper contributes to the growing literature on peer-to-peer (P2P) applications through an ethnographic study of auto-rickshaw drivers in Bengaluru, India. We describe how the adoption of a P2P application, Ola, which connects passengers to rickshaws, changes drivers work practices. Ola is part of the \u2018peer services\u2019 phenomenon which enable new types of ad-hoc trade in labour, skills and goods. Auto-rickshaw drivers present an interesting case because prior to Ola few had used Smartphones or the Internet. Furthermore, as financially vulnerable workers in the informal sector, concerns about driver welfare become prominent. Whilst technologies may promise to improve livelihoods, they do not necessarily deliver [57]. We describe how Ola does lit-tle to change the uncertainty which characterizes an auto drivers\u2019 day. This leads us to consider how a more equitable and inclusive system might be designed.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper contributes to the growing literature on peer-to-peer (P2P) applications through an ethnographic study of auto-rickshaw drivers in Bengaluru, India. We describe how the adoption of a P2P application, Ola, which connects passengers to rickshaws, changes drivers work practices. Ola is part of the \u2018peer services\u2019 phenomenon which enable new types of ad-hoc trade [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[246574],"research-area":[13554,13559,13568],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[249640,248485],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-238184","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-highlight-award","msr-research-area-human-computer-interaction","msr-research-area-social-sciences","msr-research-area-technology-for-emerging-markets","msr-locale-en_us","msr-field-of-study-computer-supported-cooperative-work","msr-field-of-study-human-computer-interaction"],"msr_publishername":"ACM","msr_edition":"","msr_affiliation":"","msr_published_date":"2016-5-7","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"Association for Computing Machinery","msr_how_published":"","msr_notes":"","msr_highlight_text":"Honorable Mention","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"238462","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/06\/CHI2016_CameraReady_Final-1.pdf","id":"238462","title":"CHI2016_CameraReady_Final.pdf","label_id":"243112","label":0},{"type":"doi","viewUrl":"false","id":"false","title":"https:\/\/doi.org\/10.1145\/2858036.2858393","label_id":"243106","label":0}],"msr_related_uploader":"","msr_attachments":[{"id":238462,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/06\/CHI2016_CameraReady_Final-1.pdf"}],"msr-author-ordering":[{"type":"guest","value":"syed-ishtiaque-ahmed","user_id":863802,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=syed-ishtiaque-ahmed"},{"type":"guest","value":"nicola-j-bidwell","user_id":863805,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=nicola-j-bidwell"},{"type":"guest","value":"himanshu-zade","user_id":863808,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=himanshu-zade"},{"type":"user_nicename","value":"Srihari Hulikal Muralidhar","user_id":41991,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Srihari Hulikal Muralidhar"},{"type":"guest","value":"anupama-dhareshwar","user_id":863814,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=anupama-dhareshwar"},{"type":"guest","value":"baneen-karachiwala","user_id":863817,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=baneen-karachiwala"},{"type":"guest","value":"cedrick-n-tandong","user_id":863820,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=cedrick-n-tandong"},{"type":"user_nicename","value":"Jacki O&#039;Neill","user_id":32172,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Jacki O&#039;Neill"}],"msr_impact_theme":[],"msr_research_lab":[199562],"msr_event":[],"msr_group":[144784],"msr_project":[239753],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":239753,"post_title":"Future workplaces","post_name":"future-workplaces","post_type":"msr-project","post_date":"2016-06-17 15:02:15","post_modified":"2018-08-07 01:00:54","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/future-workplaces\/","post_excerpt":"Technology platforms are emerging as a new kind of workplace: from crowdwork to \u2018peer economy\u2019 platforms. This project uses ethnographic methods to address questions such as: Who are the workers on these platforms? What are their work practices? How do they differ from traditional labor? How is the complex relationship between workers, customers, platform provider, and the algorithms they create, experienced? 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