Consumer Data Collection and Privacy: Best Practices and Risk Mitigation Strategies for Franchise Systems
[...]Part IV will discuss strategies and best practices to minimize the risk to franchise businesses posed by the collection of consumer data. П. Data Collection Practices Commonly Used by Franchise Businesses "Consumer personal data" generally refers to nonpublic, personal identifying inf...
Gespeichert in:
Veröffentlicht in: | Franchise law journal 2023-09, Vol.42 (4), p.435-450 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 450 |
---|---|
container_issue | 4 |
container_start_page | 435 |
container_title | Franchise law journal |
container_volume | 42 |
creator | Felix, Adrian K Melchiondo, Kelly Ruane Barney, Megan |
description | [...]Part IV will discuss strategies and best practices to minimize the risk to franchise businesses posed by the collection of consumer data. П. Data Collection Practices Commonly Used by Franchise Businesses "Consumer personal data" generally refers to nonpublic, personal identifying information (PII)-such as birth date, social security number, income level, purchase history, and biometric information-that permits the identity of an individual to whom the information applies to be reasonably discovered.13 As discussed below, businesses commonly collect consumer personal data by (1) direct solicitations; (2) tracking customers via electronic means; and/or (3) purchasing from third-party data collectors or brokers. To be eligible for the rewards program, customers initially had to enroll in Verizon Selects (a targeted advertising program) and agree that Verizon could access their web-browsing history, app usage, location data, and other information to create "specific insights" into the participating customers.17 The program that began as an "opt-in" program (i.e., one where a consumer must take an affirmative step to agree to participate) was subsequently converted into an "opt-out" program.18 Pizza Hut, similarly, introduced its Hut Rewards® loyalty program in 2017, an "opt-in" program that offers customers the chance to earn points redeemable for free pizzas and other discounted items, early access to new products, and birthday rewards.19 Like the Verizon Lip program, participants in the Hut Rewards program agree that Pizza Hut can collect an array of personal information about them, including personal profile, payment card information, location and movement data, address book information, and analytics data.20 Pizza Hut then uses that information to create a more detailed profile, and may share, sell, or disclose such personal data to third parties for marketing and analytics purposes.21 Many other well-known franchise brands, such as Subway, Marriott, and Burger King, have similarly structured rewards programs.22 Consumer feedback, surveys, and interactive social media are other methods of direct solicitation that franchise retailers and service providers use to collect consumer personal data.23 L nlike the personal and engagement data collected through a loyalty or rewards program though, surveys and feedback responses and social media interactions provide qualitative or attitudinal data (i.e., consumers' opinions, interests, preferences, likes or di |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2899458509</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A780330892</galeid><sourcerecordid>A780330892</sourcerecordid><originalsourceid>FETCH-LOGICAL-g1709-28c381a4913d92aca5ebd681195990d700da8bb835c98328b107ead1233f7d983</originalsourceid><addsrcrecordid>eNptj21LwzAQx4soOKffIeBbK3lY28R3czoVJorT1-WapF1mm2qvFfbtDVNwwji44-7_u6eDaMRZKmLOkslhNJJZksaZSvlxdIK4ppRLwbNR5Gatx6GxHbmBHsisrWure9d6At6Q5859gd5ckWuLfcggSNriVntx-E4eXe8q2PLLvoPeVi7IZduReQderxxastxgbxs8jY5KqNGe_cZx9Da_fZ3dx4unu4fZdBFXLKMq5lILyWCimDCKg4bEFiaVjKlEKWoySg3IopAi0Sq8IAtGMwuGcSHKzITSODr_mfvRtZ9DuDtft0Pnw8qcS6UmiUyo-qMqqG3ufNmG83XjUOfTTFIhqFQ8UPEeqrLedlC33pYulP_xl3v4YMY2Tu9tuNhpKAZ03mJw6KpVjxUMiLv4N3s9jog</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2899458509</pqid></control><display><type>article</type><title>Consumer Data Collection and Privacy: Best Practices and Risk Mitigation Strategies for Franchise Systems</title><source>Business Source Complete</source><creator>Felix, Adrian K ; Melchiondo, Kelly Ruane ; Barney, Megan</creator><creatorcontrib>Felix, Adrian K ; Melchiondo, Kelly Ruane ; Barney, Megan</creatorcontrib><description>[...]Part IV will discuss strategies and best practices to minimize the risk to franchise businesses posed by the collection of consumer data. П. Data Collection Practices Commonly Used by Franchise Businesses "Consumer personal data" generally refers to nonpublic, personal identifying information (PII)-such as birth date, social security number, income level, purchase history, and biometric information-that permits the identity of an individual to whom the information applies to be reasonably discovered.13 As discussed below, businesses commonly collect consumer personal data by (1) direct solicitations; (2) tracking customers via electronic means; and/or (3) purchasing from third-party data collectors or brokers. To be eligible for the rewards program, customers initially had to enroll in Verizon Selects (a targeted advertising program) and agree that Verizon could access their web-browsing history, app usage, location data, and other information to create "specific insights" into the participating customers.17 The program that began as an "opt-in" program (i.e., one where a consumer must take an affirmative step to agree to participate) was subsequently converted into an "opt-out" program.18 Pizza Hut, similarly, introduced its Hut Rewards® loyalty program in 2017, an "opt-in" program that offers customers the chance to earn points redeemable for free pizzas and other discounted items, early access to new products, and birthday rewards.19 Like the Verizon Lip program, participants in the Hut Rewards program agree that Pizza Hut can collect an array of personal information about them, including personal profile, payment card information, location and movement data, address book information, and analytics data.20 Pizza Hut then uses that information to create a more detailed profile, and may share, sell, or disclose such personal data to third parties for marketing and analytics purposes.21 Many other well-known franchise brands, such as Subway, Marriott, and Burger King, have similarly structured rewards programs.22 Consumer feedback, surveys, and interactive social media are other methods of direct solicitation that franchise retailers and service providers use to collect consumer personal data.23 L nlike the personal and engagement data collected through a loyalty or rewards program though, surveys and feedback responses and social media interactions provide qualitative or attitudinal data (i.e., consumers' opinions, interests, preferences, likes or dislikes, etc.). "Essential" and "functional" cookies are those added directly by a website to ensure that it functions properly and provides the consumer with a seamless experience while navigating the site, and they expire once the consumer closes the web browser.25 "Marketing" cookies, on the other hand, are persistent in duration and used by third parties to monitor and record a consumer's online activities (e.g., web browsing habits, search history, purchases, and any shared information) well after that consumer has left the company's website or closed the advertisement email, ultimately to help advertisers deliver targeted advertising to the consumer.26 Marketing cookies can accumulate significant amounts of basic and engagement data-enough to identify an individual consumer.</description><identifier>ISSN: 8756-7962</identifier><identifier>EISSN: 2163-2154</identifier><language>eng</language><publisher>Chicago: American Bar Association</publisher><subject>Consumer protection ; Consumers ; Data collection ; Data entry ; Data integrity ; Data security ; Ethical aspects ; Franchisees ; Franchises ; Laws, regulations and rules ; Loyalty programs ; Personal information ; Privacy ; Privacy, Right of ; Purchasing ; Risk management ; Safety and security measures ; Social networks ; Target marketing</subject><ispartof>Franchise law journal, 2023-09, Vol.42 (4), p.435-450</ispartof><rights>COPYRIGHT 2023 American Bar Association</rights><rights>Copyright American Bar Association Fall 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780</link.rule.ids></links><search><creatorcontrib>Felix, Adrian K</creatorcontrib><creatorcontrib>Melchiondo, Kelly Ruane</creatorcontrib><creatorcontrib>Barney, Megan</creatorcontrib><title>Consumer Data Collection and Privacy: Best Practices and Risk Mitigation Strategies for Franchise Systems</title><title>Franchise law journal</title><description>[...]Part IV will discuss strategies and best practices to minimize the risk to franchise businesses posed by the collection of consumer data. П. Data Collection Practices Commonly Used by Franchise Businesses "Consumer personal data" generally refers to nonpublic, personal identifying information (PII)-such as birth date, social security number, income level, purchase history, and biometric information-that permits the identity of an individual to whom the information applies to be reasonably discovered.13 As discussed below, businesses commonly collect consumer personal data by (1) direct solicitations; (2) tracking customers via electronic means; and/or (3) purchasing from third-party data collectors or brokers. To be eligible for the rewards program, customers initially had to enroll in Verizon Selects (a targeted advertising program) and agree that Verizon could access their web-browsing history, app usage, location data, and other information to create "specific insights" into the participating customers.17 The program that began as an "opt-in" program (i.e., one where a consumer must take an affirmative step to agree to participate) was subsequently converted into an "opt-out" program.18 Pizza Hut, similarly, introduced its Hut Rewards® loyalty program in 2017, an "opt-in" program that offers customers the chance to earn points redeemable for free pizzas and other discounted items, early access to new products, and birthday rewards.19 Like the Verizon Lip program, participants in the Hut Rewards program agree that Pizza Hut can collect an array of personal information about them, including personal profile, payment card information, location and movement data, address book information, and analytics data.20 Pizza Hut then uses that information to create a more detailed profile, and may share, sell, or disclose such personal data to third parties for marketing and analytics purposes.21 Many other well-known franchise brands, such as Subway, Marriott, and Burger King, have similarly structured rewards programs.22 Consumer feedback, surveys, and interactive social media are other methods of direct solicitation that franchise retailers and service providers use to collect consumer personal data.23 L nlike the personal and engagement data collected through a loyalty or rewards program though, surveys and feedback responses and social media interactions provide qualitative or attitudinal data (i.e., consumers' opinions, interests, preferences, likes or dislikes, etc.). "Essential" and "functional" cookies are those added directly by a website to ensure that it functions properly and provides the consumer with a seamless experience while navigating the site, and they expire once the consumer closes the web browser.25 "Marketing" cookies, on the other hand, are persistent in duration and used by third parties to monitor and record a consumer's online activities (e.g., web browsing habits, search history, purchases, and any shared information) well after that consumer has left the company's website or closed the advertisement email, ultimately to help advertisers deliver targeted advertising to the consumer.26 Marketing cookies can accumulate significant amounts of basic and engagement data-enough to identify an individual consumer.</description><subject>Consumer protection</subject><subject>Consumers</subject><subject>Data collection</subject><subject>Data entry</subject><subject>Data integrity</subject><subject>Data security</subject><subject>Ethical aspects</subject><subject>Franchisees</subject><subject>Franchises</subject><subject>Laws, regulations and rules</subject><subject>Loyalty programs</subject><subject>Personal information</subject><subject>Privacy</subject><subject>Privacy, Right of</subject><subject>Purchasing</subject><subject>Risk management</subject><subject>Safety and security measures</subject><subject>Social networks</subject><subject>Target marketing</subject><issn>8756-7962</issn><issn>2163-2154</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>N95</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptj21LwzAQx4soOKffIeBbK3lY28R3czoVJorT1-WapF1mm2qvFfbtDVNwwji44-7_u6eDaMRZKmLOkslhNJJZksaZSvlxdIK4ppRLwbNR5Gatx6GxHbmBHsisrWure9d6At6Q5859gd5ckWuLfcggSNriVntx-E4eXe8q2PLLvoPeVi7IZduReQderxxastxgbxs8jY5KqNGe_cZx9Da_fZ3dx4unu4fZdBFXLKMq5lILyWCimDCKg4bEFiaVjKlEKWoySg3IopAi0Sq8IAtGMwuGcSHKzITSODr_mfvRtZ9DuDtft0Pnw8qcS6UmiUyo-qMqqG3ufNmG83XjUOfTTFIhqFQ8UPEeqrLedlC33pYulP_xl3v4YMY2Tu9tuNhpKAZ03mJw6KpVjxUMiLv4N3s9jog</recordid><startdate>20230922</startdate><enddate>20230922</enddate><creator>Felix, Adrian K</creator><creator>Melchiondo, Kelly Ruane</creator><creator>Barney, Megan</creator><general>American Bar Association</general><scope>N95</scope><scope>XI7</scope><scope>ILT</scope><scope>3V.</scope><scope>7X5</scope><scope>7XB</scope><scope>8A3</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PADUT</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20230922</creationdate><title>Consumer Data Collection and Privacy: Best Practices and Risk Mitigation Strategies for Franchise Systems</title><author>Felix, Adrian K ; Melchiondo, Kelly Ruane ; Barney, Megan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-g1709-28c381a4913d92aca5ebd681195990d700da8bb835c98328b107ead1233f7d983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Consumer protection</topic><topic>Consumers</topic><topic>Data collection</topic><topic>Data entry</topic><topic>Data integrity</topic><topic>Data security</topic><topic>Ethical aspects</topic><topic>Franchisees</topic><topic>Franchises</topic><topic>Laws, regulations and rules</topic><topic>Loyalty programs</topic><topic>Personal information</topic><topic>Privacy</topic><topic>Privacy, Right of</topic><topic>Purchasing</topic><topic>Risk management</topic><topic>Safety and security measures</topic><topic>Social networks</topic><topic>Target marketing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Felix, Adrian K</creatorcontrib><creatorcontrib>Melchiondo, Kelly Ruane</creatorcontrib><creatorcontrib>Barney, Megan</creatorcontrib><collection>Gale Business: Insights</collection><collection>Business Insights: Essentials</collection><collection>Gale OneFile: LegalTrac</collection><collection>ProQuest Central (Corporate)</collection><collection>Entrepreneurship Database</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Entrepreneurship Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Research Library China</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Franchise law journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Felix, Adrian K</au><au>Melchiondo, Kelly Ruane</au><au>Barney, Megan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Consumer Data Collection and Privacy: Best Practices and Risk Mitigation Strategies for Franchise Systems</atitle><jtitle>Franchise law journal</jtitle><date>2023-09-22</date><risdate>2023</risdate><volume>42</volume><issue>4</issue><spage>435</spage><epage>450</epage><pages>435-450</pages><issn>8756-7962</issn><eissn>2163-2154</eissn><abstract>[...]Part IV will discuss strategies and best practices to minimize the risk to franchise businesses posed by the collection of consumer data. П. Data Collection Practices Commonly Used by Franchise Businesses "Consumer personal data" generally refers to nonpublic, personal identifying information (PII)-such as birth date, social security number, income level, purchase history, and biometric information-that permits the identity of an individual to whom the information applies to be reasonably discovered.13 As discussed below, businesses commonly collect consumer personal data by (1) direct solicitations; (2) tracking customers via electronic means; and/or (3) purchasing from third-party data collectors or brokers. To be eligible for the rewards program, customers initially had to enroll in Verizon Selects (a targeted advertising program) and agree that Verizon could access their web-browsing history, app usage, location data, and other information to create "specific insights" into the participating customers.17 The program that began as an "opt-in" program (i.e., one where a consumer must take an affirmative step to agree to participate) was subsequently converted into an "opt-out" program.18 Pizza Hut, similarly, introduced its Hut Rewards® loyalty program in 2017, an "opt-in" program that offers customers the chance to earn points redeemable for free pizzas and other discounted items, early access to new products, and birthday rewards.19 Like the Verizon Lip program, participants in the Hut Rewards program agree that Pizza Hut can collect an array of personal information about them, including personal profile, payment card information, location and movement data, address book information, and analytics data.20 Pizza Hut then uses that information to create a more detailed profile, and may share, sell, or disclose such personal data to third parties for marketing and analytics purposes.21 Many other well-known franchise brands, such as Subway, Marriott, and Burger King, have similarly structured rewards programs.22 Consumer feedback, surveys, and interactive social media are other methods of direct solicitation that franchise retailers and service providers use to collect consumer personal data.23 L nlike the personal and engagement data collected through a loyalty or rewards program though, surveys and feedback responses and social media interactions provide qualitative or attitudinal data (i.e., consumers' opinions, interests, preferences, likes or dislikes, etc.). "Essential" and "functional" cookies are those added directly by a website to ensure that it functions properly and provides the consumer with a seamless experience while navigating the site, and they expire once the consumer closes the web browser.25 "Marketing" cookies, on the other hand, are persistent in duration and used by third parties to monitor and record a consumer's online activities (e.g., web browsing habits, search history, purchases, and any shared information) well after that consumer has left the company's website or closed the advertisement email, ultimately to help advertisers deliver targeted advertising to the consumer.26 Marketing cookies can accumulate significant amounts of basic and engagement data-enough to identify an individual consumer.</abstract><cop>Chicago</cop><pub>American Bar Association</pub><tpages>16</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 8756-7962 |
ispartof | Franchise law journal, 2023-09, Vol.42 (4), p.435-450 |
issn | 8756-7962 2163-2154 |
language | eng |
recordid | cdi_proquest_journals_2899458509 |
source | Business Source Complete |
subjects | Consumer protection Consumers Data collection Data entry Data integrity Data security Ethical aspects Franchisees Franchises Laws, regulations and rules Loyalty programs Personal information Privacy Privacy, Right of Purchasing Risk management Safety and security measures Social networks Target marketing |
title | Consumer Data Collection and Privacy: Best Practices and Risk Mitigation Strategies for Franchise Systems |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T06%3A51%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Consumer%20Data%20Collection%20and%20Privacy:%20Best%20Practices%20and%20Risk%20Mitigation%20Strategies%20for%20Franchise%20Systems&rft.jtitle=Franchise%20law%20journal&rft.au=Felix,%20Adrian%20K&rft.date=2023-09-22&rft.volume=42&rft.issue=4&rft.spage=435&rft.epage=450&rft.pages=435-450&rft.issn=8756-7962&rft.eissn=2163-2154&rft_id=info:doi/&rft_dat=%3Cgale_proqu%3EA780330892%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2899458509&rft_id=info:pmid/&rft_galeid=A780330892&rfr_iscdi=true |