01409nas a2200157   4500008004100000245010200041210006900143260000900212300001200221490000700233520091300240653001701153100001601170700001601186856004901202       2016                        eng d00aData Analytics and Consumer Profiling: Finding Appropriate Privacy Principles for Discovered Data0 aData Analytics and Consumer Profiling Finding Appropriate Privac  c2016  a696-7140 v323 aIn Big Data, the application of sophisticated data analytics to very large datasets makes it possible to infer or derive (“to discover”) additional personal information about consumers that would otherwise not be known from examining the underlying data. The discovery and use of this type of personal information for consumer profiling raises significant information privacy concerns, challenging privacy regulators around the globe. This article finds appropriate privacy principles to protect consumers’ privacy in this context. It draws insights from a comparative law study of information privacy laws in the United States and Australia. It examines draft consumer privacy legislation from the United States to reveal its strengths and weaknesses in terms of addressing the significant privacy concerns that relate to Big Data’s discovery of personal data and subsequent profiling by businesses.10aBusiness Law1 aKing, Nancy1 aForder, Jay  uhttp://dx.doi.org/10.1016/j.clsr.2016.05.00200416nas a2200121   4500008004100000245004500041210004400086260003100130653001700161100001600178700001600194856008400210       2016                        eng d00aPrivacy, Consumer Profiling and Big Data0 aPrivacy Consumer Profiling and Big Data  aBloomington, Indianac201610aBusiness Law1 aKing, Nancy1 aForder, Jay  u/biblio/privacy-consumer-profiling-and-big-data01356nas a2200133   4500008004100000245015600041210006900197260000900266520075100275653001701026100002901043700001601072856013401088       2015                        eng d00aPrivacy versus Reward: Do Loyalty Programs Increase Consumers' Willingness to Share Personal Information with Third-party Advertisers and Data Brokers?0 aPrivacy versus Reward Do Loyalty Programs Increase Consumers Wil  c20153 aEmpirical study shows U.S. online shoppers significantly identify third-party advertisers and data brokers as separate agents and display different attitudes toward sharing their PI in the context of online retailing. Applying Westins’ Privacy Segmentation Index, the results showed that enrollment in multiple loyalty programs significantly predicts Privacy Pragmatic shoppers' willingness to share personal information, while consumer commitment significantly increases both the Privacy Unconcerned and Pragmatist groups’ willingness to share. Conversely, this is not the case for Privacy Fundamentalists. Age and gender also played important roles in predicting consumers’ willingness to share their PI with advertisers and data brokers.10aBusiness Law1 aJai, Tun-Min, (Catherine1 aKing, Nancy  u/biblio/privacy-versus-reward-do-loyalty-programs-increase-consumers-willingness-share-personal-001165nas a2200157   4500008004100000245007300041210006900114260000900183300001200192490000700204520064200211653001700853100001700870700001600887856010400903       2014                        eng d00a2013 CLSR-LSPI Seminar on Electronic Identity , The Global Challenge0 a2013 CLSRLSPI Seminar on Electronic Identity The Global Challeng  c2014  a112-1250 v303 aI was the sole-author on Section 6 of this article; my section is titled "Linking Offline and Online Identities: Mobility and Identity. I prepared Section 6 of this article for a seminar presented at the 8th international conference on Legal, Security and Privacy Issues in IT law (LSPI), November 2013, Bangkok. Each seminar presenter prepared a draft of their section of the article in advance of the seminar, presented the topic for their section, and prepared a final version of their section of the article. All sections were combined by the Seminar Chair and published in the Computer Law and Security Review as a combined article.10aBusiness Law1 aSaxby, Steve1 aKing, Nancy  u/biblio/2013-clsr-lspi-seminar-electronic-identity-global-challenge00485nas a2200145   4500008004100000245006100041210005700102260000900159300001600168490000700184653001700191100001600208700002400224856009100248       2014                        eng d00aFor Privacy's Sake: Consumer "Opt Outs" for Smart Meters0 aFor Privacys Sake Consumer Opt Outs for Smart Meters  c2014  app. 530-5390 v3010aBusiness Law1 aKing, Nancy1 aJessen, Pernille, W  u/biblio/privacys-sake-consumer-opt-outs-smart-meters-000608nas a2200121   4500008004100000245015600041210006900197260002400266653001700290100002900307700001600336856013400352       2014                        eng d00aPrivacy versus Reward: Do Loyalty Programs Increase Consumers' Willingness to Share Personal Information with Third-party Advertisers and Data Brokers?0 aPrivacy versus Reward Do Loyalty Programs Increase Consumers Wil  aDallas, Texasc201410aBusiness Law1 aJai, Tun-Min, (Catherine1 aKing, Nancy  u/biblio/privacy-versus-reward-do-loyalty-programs-increase-consumers-willingness-share-personal-102288nas a2200157   4500008004100000245015500041210006900196260000900265300001200274490000700286520164400293653001701937100001601954700002501970856013501995       2014                        eng d00aSmart Metering Systems and Data Sharing: Why Getting a Smart Meter Should Also Mean Getting Strong Information Privacy Controls to Manage Data Sharing0 aSmart Metering Systems and Data Sharing Why Getting a Smart Mete  c2014  a215-2530 v223 aSmart meters are being installed in consumers’ homes as the world moves to the smartgrid of intelligent energy networks. Smart meters are near real-time communication devices that can collect and communicate a vast amount of personal data about each customer’s
energy use. Questions about who should have access to such data and for what
purposes raise significant consumer privacy concerns about data sharing. Because data
sharing facilitates secondary uses of energy use data and is essential for third party access
to the data, data sharing is a critical activity that needs to be analysed from an information
privacy perspective. This article makes three important contributions. First,
it identifies the key privacy and data protection concerns for both the EU and USA
consumers related to data sharing in smart metering systems. Second, it provides a
comparison of EU and US privacy and data protection law as it applies to smart metering
systems, revealing gaps in coverage in both systems. Third, it explains how important
privacy concerns related to data sharing are being addressed in the EU and the
USA, including specific examples of legislation and self-regulatory mechanisms that
have been adopted to protect privacy in smart metering systems. From this comparative
analysis, potential privacy-enhancing solutions can be identified. Ultimately it will
be up to government regulators and industry to adopt local solutions, but the goal of
this article is to encourage adoption of regulatory solutions and industry best practices
that are consistent with privacy rights and information privacy principles.
10aBusiness Law1 aKing, Nancy1 aJessen, Pernille, W.  u/biblio/smart-metering-systems-and-data-sharing-why-getting-smart-meter-should-also-mean-getting-000500nas a2200121   4500008004100000245007100041210006900112260002600181653001700207100001600224700003000240856010800270       2013                        eng d00aData sharing in smart metering systems - consumer privacy concerns0 aData sharing in smart metering systems consumer privacy concerns  aAarhus, Denmarkc201310aBusiness Law1 aKing, Nancy1 aJessen, Pernille, Wegener  u/biblio/data-sharing-smart-metering-systems-consumer-privacy-concerns-001712nas a2200181   4500008004100000245013800041210006900179260001900248300001200267490000700279520102800286653001701314653001901331100001701350700001801367700001601385856012901401       2013                        eng d00aThe Effect of Behavioral Tracking Practices on Consumers' Shopping Evaluations and Repurchase Intention toward Trust Online Retailers0 aEffect of Behavioral Tracking Practices on Consumers Shopping Ev  aElsevierc2013  a901-9090 v293 aThe study applies the Stimulus-Organism-Response (SOR) model and Social Contract Theory to investigate the effect of behavioral practices scenarios (stimulus) on consumers' evaluations of their online shopping experiences (internal organism) and repurchase intention toward online retailers (external response). The findings suggest there is a disconnect between online shoppers and their trusted online retailers regarding the information collected from online shoppers since, currently, sharing of information collected from customers within affiliates or even with third-party companies<br>such as networking advertising associations for secondary uses (e.g. targeted advertising) is a fairly common practice in the marketing field. Left unresolved, this disconnect may undermine consumers' repurchase intention toward the retailers and potentially injure the social contract between retailers and their customers. These findings are significant for the online retailing industry, consumers and public policy makers.<br>10aBusiness Law10aDesign Program1 aJai, Tun-Min1 aBurns, Leslie1 aKing, Nancy  u/biblio/effect-behavioral-tracking-practices-consumers-shopping-evaluations-and-repurchase-000457nas a2200121   4500008004100000245006100041210005700102260002800159653001700187100001600204700002400220856009100244       2013                        eng d00aFor Privacy's Sake: Consumer "Opt Outs" for Smart Meters0 aFor Privacys Sake Consumer Opt Outs for Smart Meters  aBangkok, Thailandc201310aBusiness Law1 aKing, Nancy1 aJessen, Pernille, W  u/biblio/privacys-sake-consumer-opt-outs-smart-meters-100447nas a2200109   4500008004100000245006500041210006400106260002800170653001700198100001600215856010600231       2013                        eng d00aLinking Offline and Online Identities: Mobility and Identity0 aLinking Offline and Online Identities Mobility and Identity  aBangkok, Thailandc201310aBusiness Law1 aKing, Nancy  u/biblio/linking-offline-and-online-identities-mobility-and-identity-001358nas a2200169   4500008004100000245014100041210006900182260004600251300001200297490000700309520068600316653000801002653001701010100001601027700001501043856013001058       2013                        eng d00aWhat Do They Know About Me In The Cloud? A Comparative Law Perspective On Protecting the Privacy and Security of Sensitive Consumer Data0 aWhat Do They Know About Me In The Cloud A Comparative Law Perspe  aWiley Periodicals, Inc., Malden, MAc2013  a413-4820 v503 aHow much does the cloud know about us? Should we care? In cloud computing, sensitive personal data flows in a global network of internet connected computers, creating attractive targets for hackers, challenging law enforcement and raising concerns about government surveillance. From an information privacy perspective, this article discusses how well the management information systems practices and laws in the United States and Europe protect the privacy and security of sensitive consumer data in the cloud. It examines policies and proposed regulations and makes suggestions for legal reforms in both jurisdictions to protect the privacy and security of sensitive information.10aBIS10aBusiness Law1 aKing, Nancy1 aRaja, V.T.  u/biblio/what-do-they-know-about-me-cloud-comparative-law-perspective-protecting-privacy-and-001334nas a2200169   4500008004100000245008000041210006900121260001700190300001200207490000700219520085600226653000801082653001701090100001601107700001501123856002601138       2012                        eng d00aProtecting the Privacy and Security of Sensitive Customer Data in the Cloud0 aProtecting the Privacy and Security of Sensitive Customer Data i  aOxfordc2012  a308-3190 v283 aThe global ubiquity of cloud computing may expose consumers' sensitive personal data to significant privacy and security threats. A critical challenge for the cloud computing industry is to earn consumers' trust by ensuring adequate privacy and security for sensitive consumer data. Regulating consumer privacy and security also challenges government enforcement of data protection laws that were designed with national borders in mind. From an information privacy perspective, this article analyses how well the regulatory frameworks in place in Europe and the United States help protect the privacy and security of sensitive consumer data in the cloud. It makes suggestions for regulatory reform to protect sensitive infomraiton in cloud computing environments and to remove regulatory constraints that limit the growth of this vibrant new industry.10aBIS10aBusiness Law1 aKing, Nancy1 aRaja, V.T.  uwww.Sciencedirect.com01260nas a2200145   4500008004100000245011900041210006900160260004800229300001200277490000600289520076100295653001701056100001601073856002501089       2011                        eng d00aWhy Privacy Discussions about Pervasive Online Customer Profiling Should Focus on Expanding Roles of Third-Parties0 aWhy Privacy Discussions about Pervasive Online Customer Profilin  aInterscience Enterprises, Ltd, Genevac2011  a193-2290 v43 aAbstract: Network advertising associations, consumer databases, data mining services and advertising exchanges play important roles in the online behavioural advertising industry. The participation of such third-party businesses in consumer profiling and generating targeted direct marketing communications raises significant consumer privacy and data protection concerns. This article analyzes the regulatory framework s of the European Union and the United States and legal developments on this topic to assess how well consumers’ privacy concerns are being addressed. It then provides recommendations for regulatory reform specific to third-party involvement in the behavioural advertising industry to enhance consumers’ privacy and data protection.10aBusiness Law1 aKing, Nancy  uwww.inderscience.com01498nas a2200157   4500008004100000245015000041210006900191260001700260300001200277490000700289520095500296653001701251100001601268700003001284856002601314       2010                        eng d00aProfiling the Mobile Customer: Is Industry Self-Regulation Adequate to Protect Consumer Privacy When Behavioural Advertisers Target Mobile Users?0 aProfiling the Mobile Customer Is Industry SelfRegulation Adequat  aOxfordc2010  a595-6120 v263 aMobile customers are increasingly confronted with behavioural advertising targeted individually on the basis of profiles generated by applying technologies to mine databases containing personally-identifying or anonymous data. This article is the second in a two part series on “Profiling the Mobile Customer.” The first article identified privacy gaps in the existing regulatory frameworks in the EU and the U.S. that need to be closed to protect consumers’ privacy and personal data.  This second article examines alternative approaches to protect consumers’ privacy that include legislation, industry self-regulation and privacy-enhancing technologies. Concluding that neither industry self-regulation nor available privacy-enhancing technologies will be adequate to close the gap, this article points out important subject matters that need to be fully tackled by regulators in the EU and U.S. and offers suggestions about how to do this.10aBusiness Law1 aKing, Nancy1 aJessen, Pernille, Wegener  uwww.sciencedirect.com01844nas a2200157   4500008004100000245010200041210006900143260001700212300001200229490000700241520135400248653001701602100001601619700002501635856002601660       2010                        eng d00aProfiling the Mobile Customer: Privacy Concerns When Behavioural Advertisers Target Mobile Phones0 aProfiling the Mobile Customer Privacy Concerns When Behavioural   aOxfordc2010  a455-4780 v263 aMobile customers are increasingly confronted with behavioural advertising targeted individually on the basis of profiles generated by applying technologies to mine databases containing personally-identifying or anonymous data. This article is Part I of a two part series on “Profiling the Mobile Customer”. Part I answers the questions: “What is profiling in the context of behavioural advertising?” and “How will consumer profiling impact the privacy of mobile customers?”. The article examines the EU and U.S. regulatory frameworks for protecting privacy and personal data in regards to behavioural advertising that targets mobile customers. It identifies potential harms to privacy and personal data related to profiling for behavioural advertising. It evaluates the extent to which the existing regulatory frameworks in the EU and the U.S.provide an adequate level of protection. Consequently, the article identifies the privacy gaps in the regulatory frameworksthat will need to be addressed to adequately protect mobile consumers from profiling by marketers. Part II of Profiling the Mobile Customer that will appear in the next volume of the CLSR. It will discuss whether industry self-regulation or privacy enhancing technologies will be adequate to protect consumer privacy, or rather, whether new legislation will be necessary.10aBusiness Law1 aKing, Nancy1 aJessen, Pernille, W.  uwww.Sciencedirect.com