Online dating: A need for regulation regardless of business model

Jackson, M, Shelly, M and Singh, M 2016, 'Online dating: A need for regulation regardless of business model' in In Lee (ed.) Encyclopedia of E-Commerce Development, Implementation, and Management, IGI Global, United States, pp. 74-86.


Document type: Book Chapter
Collection: Book Chapters

Title Online dating: A need for regulation regardless of business model
Author(s) Jackson, M
Shelly, M
Singh, M
Year 2016
Title of book Encyclopedia of E-Commerce Development, Implementation, and Management
Publisher IGI Global
Place of publication United States
Editor(s) In Lee
Start page 74
End page 86
Subjects Business and Management not elsewhere classified
Law not elsewhere classified
Summary Based on the economic and social value of the dating service industry, there are two forms of digital dating - online dating and a match making system offered by a provider (Schmitz, 2014). Examples of online dating sites are RSVP.com.au and Match.com and examples of match making systems are eHarmony.com and PerfectMatch.com. Online dating consists of an individual searching for a potential partner by registering on an online dating site, which is free to use or is subscription based (Schmitz, 2014). As part of this registration, an individual provides detailed personal information, including their location, job, interests and hobbies and salary range as well as the desired characteristics of a potential partner. This profile is then posted online for other users of the site to view (Schmitz, 2014). Online dating allows individuals to browse other profiles and contact other users of the site via a chat service or a short message service. If contact is successful, the individuals exchange messages and may move on to communicating through emails, telephones or face to face meetings (Schmitz, 2014). Under the match making system, while the registration is similar to the process used by online dating sites, the information provided by the individual is more comprehensive and includes information on the individual's career, education, lifestyle, personality and religion beliefs (Schmitz, 2014). Then, through an algorithm, this information is used by the provider to find a compatible match based on similar traits (Schmitz, 2014; Blake, 2007).
Copyright notice © 2016 by IGI Global
ISBN 9781466697874
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