{"id":1347,"date":"2021-03-15T16:45:55","date_gmt":"2021-03-15T20:45:55","guid":{"rendered":"http:\/\/community.mis.temple.edu\/seminars\/?p=1347"},"modified":"2021-03-15T16:45:55","modified_gmt":"2021-03-15T20:45:55","slug":"mar-19-jungpil-hahn-to-present-the-impact-of-end-user-privacy-enhancing-technologies-pets-on-firms-analytics-performance","status":"publish","type":"post","link":"https:\/\/community.mis.temple.edu\/seminars\/mar-19-jungpil-hahn-to-present-the-impact-of-end-user-privacy-enhancing-technologies-pets-on-firms-analytics-performance\/","title":{"rendered":"Mar 19 &#8211; Jungpil Hahn to present &#8220;The Impact of End-User Privacy Enhancing Technologies (PETs) on Firms\u2019 Analytics Performance&#8221;"},"content":{"rendered":"<h2 style=\"text-align: center\">The Impact of End-User Privacy Enhancing Technologies (PETs) on Firms\u2019 Analytics Performance<\/h2>\n<p style=\"text-align: center\">by<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-medium\" src=\"https:\/\/eduglopedia.org\/profile-pictures\/user-8452056bfd8162c78fcf5b32eb0d3b3daeac8484-350x350.jpg?a1bdedc57ca710133d2eaa70e80dca02\" width=\"350\" height=\"350\" \/><\/p>\n<h2 style=\"text-align: center\"><a href=\"https:\/\/www.comp.nus.edu.sg\/disa\/bio\/jungpil\/\">Jungpil Hahn<\/a><\/h2>\n<p style=\"margin: 0in;text-align: center\" align=\"center\">Associate Professor<br \/>\nHead, Department of Information Systems and Analytics<br \/>\nSchool of Computing<br \/>\nNational University of Singapore<\/p>\n<h2><\/h2>\n<h2 style=\"text-align: center\"><strong>Friday, Mar 19<br \/>\n<\/strong><\/h2>\n<h2 style=\"text-align: center\"><strong>9 \u2013 10 am | Zoom<\/strong><\/h2>\n<p style=\"text-align: center\">(send an email to ayabakan@temple.edu to get the Zoom link)<\/p>\n<p style=\"text-align: center\"><strong>Abstact:<\/strong><\/p>\n<p style=\"text-align: center\">Big data analytics in digital commerce requires vast amounts of personal information from consumers, but this gives rise to major privacy concerns. To combat the threat of privacy invasion, more and more individuals are proactively adopting privacy enhancing technologies (PETs) to protect their personal information. Consumers\u2019 adoption of PETs may hamper firms\u2019 big data analytics capabilities and performance but our knowledge of how PETs impact firms\u2019 data analytics is rather limited. This study proposes a theoretical framework to better understand how consumers&#8217; use of PETs will affect firms&#8217; analytics performance by way of inducing measurement error and\/or missing values with regards to entities, attributes and relationships in firms\u2019 customer databases. However, the impact of specific end-user PETs may vary by analytics use cases. We conduct a computational study to investigate and quantify the impact of consumer PET use on product recommendation performance. Our simulation experiments find that consumers\u2019 adoption characteristics (adoption rate and pattern) and PETs characteristics (protection mechanism and intensity) significantly affect the performance of product recommendation systems.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Impact of End-User Privacy Enhancing Technologies (PETs) on Firms\u2019 Analytics Performance by Jungpil Hahn Associate Professor Head, Department of Information Systems and Analytics School of Computing National University of Singapore Friday, Mar 19 9 \u2013 10 am | Zoom (send an email to ayabakan@temple.edu to get the Zoom link) Abstact: Big data analytics in [&hellip;]<\/p>\n","protected":false},"author":17227,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[1],"tags":[303804,838396,838398,838397,838395,68679],"class_list":["post-1347","post","type-post","status-publish","format-standard","category-uncategorized","tag-big-data","tag-big-data-analytics-capabilities","tag-computational-study","tag-firm-performance","tag-privacy-enhancing-technologies","tag-simulation","entry"],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/community.mis.temple.edu\/seminars\/wp-json\/wp\/v2\/posts\/1347","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/community.mis.temple.edu\/seminars\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/community.mis.temple.edu\/seminars\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/community.mis.temple.edu\/seminars\/wp-json\/wp\/v2\/users\/17227"}],"replies":[{"embeddable":true,"href":"https:\/\/community.mis.temple.edu\/seminars\/wp-json\/wp\/v2\/comments?post=1347"}],"version-history":[{"count":1,"href":"https:\/\/community.mis.temple.edu\/seminars\/wp-json\/wp\/v2\/posts\/1347\/revisions"}],"predecessor-version":[{"id":1348,"href":"https:\/\/community.mis.temple.edu\/seminars\/wp-json\/wp\/v2\/posts\/1347\/revisions\/1348"}],"wp:attachment":[{"href":"https:\/\/community.mis.temple.edu\/seminars\/wp-json\/wp\/v2\/media?parent=1347"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/community.mis.temple.edu\/seminars\/wp-json\/wp\/v2\/categories?post=1347"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/community.mis.temple.edu\/seminars\/wp-json\/wp\/v2\/tags?post=1347"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}