Privacy-Friendly Business Models for Location-Based Mobile Services
This paper presents a theoretical model to analyze the privacy issues involved in business models for location-based mobile services. We report the results of an exploratory field experiment in Switzerland that assessed the factors driving the net payoff to users of mobile businesses. We found that...
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| Veröffentlicht in: | Journal of theoretical and applied electronic commerce research 2011-08, Vol.6 (2), p.90-17 |
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| container_title | Journal of theoretical and applied electronic commerce research |
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| creator | Liu, Zhan Bonazzi, Riccardo Fritscher, Boris Pigneur, Yves |
| description | This paper presents a theoretical model to analyze the privacy issues involved in business models for location-based mobile services. We report the results of an exploratory field experiment in Switzerland that assessed the factors driving the net payoff to users of mobile businesses. We found that (1) the personal data disclosed by users has a negative effect on user payoff; (2) the amount of personalization available has a direct and positive effect, as well as a moderating effect, on user payoff; and (3) the amount of control over a user's personal data has a direct and positive effect, as well as a moderating effect, on user payoff. The results suggest that privacy protection could be the main value proposition in the B2C mobile market. From our theoretical model, we derive a set of guidelines to design a privacy-friendly business model pattern for third-party services. We discuss four examples to show how the mobile platform can play a key role in the implementation of these new business models. [PUBLICATION ABSTRACT] |
| doi_str_mv | 10.4067/S0718-18762011000200009 |
| format | Article |
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We report the results of an exploratory field experiment in Switzerland that assessed the factors driving the net payoff to users of mobile businesses. We found that (1) the personal data disclosed by users has a negative effect on user payoff; (2) the amount of personalization available has a direct and positive effect, as well as a moderating effect, on user payoff; and (3) the amount of control over a user's personal data has a direct and positive effect, as well as a moderating effect, on user payoff. The results suggest that privacy protection could be the main value proposition in the B2C mobile market. From our theoretical model, we derive a set of guidelines to design a privacy-friendly business model pattern for third-party services. We discuss four examples to show how the mobile platform can play a key role in the implementation of these new business models. 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We report the results of an exploratory field experiment in Switzerland that assessed the factors driving the net payoff to users of mobile businesses. We found that (1) the personal data disclosed by users has a negative effect on user payoff; (2) the amount of personalization available has a direct and positive effect, as well as a moderating effect, on user payoff; and (3) the amount of control over a user's personal data has a direct and positive effect, as well as a moderating effect, on user payoff. The results suggest that privacy protection could be the main value proposition in the B2C mobile market. From our theoretical model, we derive a set of guidelines to design a privacy-friendly business model pattern for third-party services. We discuss four examples to show how the mobile platform can play a key role in the implementation of these new business models. [PUBLICATION ABSTRACT]</description><subject>BUSINESS</subject><subject>Business models</subject><subject>Computer platforms</subject><subject>Computer privacy</subject><subject>COMPUTER SCIENCE, SOFTWARE ENGINEERING</subject><subject>Consumers</subject><subject>Customer services</subject><subject>Customization</subject><subject>Disclosure</subject><subject>Documents</subject><subject>Electronic commerce</subject><subject>Guidelines</subject><subject>Information systems</subject><subject>Internet</subject><subject>Literature reviews</subject><subject>Location based services</subject><subject>Markets</subject><subject>Mathematical models</subject><subject>Mobile businesses</subject><subject>Personal information</subject><subject>Platforms</subject><subject>Privacy</subject><subject>Studies</subject><issn>0718-1876</issn><issn>0718-1876</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1UU1LAzEQDaJgrf4GFy-etk6S3WxytMWqUFGonkM2nYWU7aYm3UL_vdFKEcXDMF9vZh5vCLmkMCpAVDdzqKjMqawEA0oBgCUDdUQGh8bxj_iUnMW4BBBSAAzI5CW4rbG7fBocdot2l4376DqMMXvyC2xj1viQzbw1G-e7fGwiLlKndi1mcwxbZzGek5PGtBEvvv2QvE3vXicP-ez5_nFyO8stp0rlRjYgCit5AYoVUBS0kHXFEg9kyBVHLHlpWGFkSmtjVSrxBdi6qUooS8GHZLTfG63D1uul70OXDuovCfQfCdLA9X5gHfx7j3GjVy5abFvToe-jVkxwzpWsEvLqF_KwXCpgVEhWJlC1B9ngYwzY6HVwKxN2moL-_MW_RD4Aoa53Gg</recordid><startdate>20110801</startdate><enddate>20110801</enddate><creator>Liu, Zhan</creator><creator>Bonazzi, Riccardo</creator><creator>Fritscher, Boris</creator><creator>Pigneur, Yves</creator><general>MDPI AG</general><general>Universidad de Talca</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>4T-</scope><scope>4U-</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CLZPN</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>GPN</scope></search><sort><creationdate>20110801</creationdate><title>Privacy-Friendly Business Models for Location-Based Mobile Services</title><author>Liu, Zhan ; 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| ispartof | Journal of theoretical and applied electronic commerce research, 2011-08, Vol.6 (2), p.90-17 |
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| source | DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals |
| subjects | BUSINESS Business models Computer platforms Computer privacy COMPUTER SCIENCE, SOFTWARE ENGINEERING Consumers Customer services Customization Disclosure Documents Electronic commerce Guidelines Information systems Internet Literature reviews Location based services Markets Mathematical models Mobile businesses Personal information Platforms Privacy Studies |
| title | Privacy-Friendly Business Models for Location-Based Mobile Services |
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