Privacy calculusFactors that influence the perception of benefit

  1. José-Luis Gómez-Barroso 1
  2. Claudio Feijóo 2
  3. Inmaculada J. Martínez-Martínez 3
  1. 1 Universidad Nacional de Educación a Distancia. UNED (España)
  2. 2 Universidad Politécnica de Madrid
    info

    Universidad Politécnica de Madrid

    Madrid, España

    ROR https://ror.org/03n6nwv02

  3. 3 Universidad de Murcia
    info

    Universidad de Murcia

    Murcia, España

    ROR https://ror.org/03p3aeb86

Mostrar afiliaciones +
Revista:
El profesional de la información

ISSN: 1386-6710,  1699-2407

Año de publicación: 2018

Título del ejemplar: Indicadores I

Volumen: 27

Número: 2

Páginas: 341-348

Tipo: Artículo

DOI: 10.3145/EPI.2018.MAR.12 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: El profesional de la información

Resumen

En muchas ocasiones, los usuarios de aplicaciones y servicios en internet ceden consciente y voluntariamente sus datos personales para obtener una mejora en el servicio o una reducción en el precio. Esta acción implica, en principio, que han seguido un comportamiento racional calculando y luego confrontando los beneficios que se les ofrecen y los costes implícitos (el uso potencial que de sus datos pueda hacerse). La percepción del beneficio derivada de la cesión de información personal no es igual para todos los individuos. Este artículo investiga los factores que la determinan y concluye que son más proclives a percibir mayor beneficio los más adictos a la Red, los que no han perdido su confianza por haber sufrido en el pasado algún incidente desagradable en internet, quienes menos conocimientos tienen, y quienes desarrollan una mayor actividad online.

€ Ver financiación

Información de financiación

The results presented in this article are part of the following research works funded by the Ministerio de Economía y Competitividad of Spain: TUnderstanding personal information-driven markets (ECO2013-47055-R) and Mobile communication and personal information: impact on the content industry, the advertising system and the behaviour of users (CSO2013-47394-R), this in turn coordinated with the MOB AD: The impact of mobile technology on strategic and advertising communication, funded by the Fundación Séneca –Agencia Regional de Ciencia y Tecnología of the Región de Murcia (19451/PI/14).

Financiadores

Referencias bibliográficas

  • Acquisti, Alessandro; Brandimarte, Laura; Loewenstein, George (2015). “Privacy and human behavior in the age of information”. Science, v. 347, n. 6221, pp. 509-514. https://www.heinz.cmu.edu/~acquisti/papers/AcquistiScience-Privacy-Review.pdf https://doi.org/10.1126/science.aaa1465
  • Acquisti, Alessandro; Grossklags, Jens (2005). “Privacy and rationality in individual decision making”. IEEE security & privacy, v. 3, n. 1, pp. 26-33. https://www.dtc.umn.edu/weis2004/acquisti.pdf https://doi.org/10.1109/MSP.2005.22
  • Carrascal, Juan-Pablo; Riederer, Christopher; Erramilli, Vijay; Cherubini, Mauro; De-Oliveira, Rodrigo (2011). “Your browsing behavior for a big mac: Economics of personal information online”. En: Proceedings of the 22nd Intl conf on World Wide Web – WWW ’13, pp. 189-200. New York: ACM. ISBN: 978 1 4503 2038 2 https://goo.gl/Tzfsc3 https://doi.org/10.1145/2488388.2488406
  • Chellappa, Ramnath K.; Sin, Raymond G. (2005). “Personalization versus privacy: An empirical examination of the online consumer’s dilemma”. Information technology and management, v. 6, n. 2-3, pp. 181-202. https://goo.gl/yRgFLs https://doi.org/10.1007/s10799-005-5879-y
  • Chóliz, Mariano (2012). “Mobile-phone addiction in adolescence: The test of mobile phone dependence”. Progress in health sciences, v. 2, n. 1, pp. 33-44. http://progress.umb.edu.pl/sites/progress.umb.edu.pl/ files/33-44%20Choliz.pdf
  • Culnan, Mary J.; Bies, Robert J. (2003). “Consumer privacy: Balancing economic and justice considerations”. Journal of social issues, v. 59, n. 2, pp. 323-342. https://goo.gl/ja9w6o https://doi.org/10.1111/1540-4560.00067
  • Cvrcek, Dan; Kumpost, Marek; Matyas, Vashek; Danezis, George (2006). “A study on the value of location privacy”. En: Procs of the 5th ACM Workshop on privacy in electronic society – WPES ’06, pp.109-118. New York: ACM. ISBN: 1 59593 556 8 https://www.esat.kuleuven.be/cosic/publications/article-845.pdf https://doi.org/10.1145/1179601.1179621
  • Dinev, Tamara; Hart, Paul (2006). “An extended privacy calculus model for e-commerce transactions”. Information systems research, v. 17, n. 1, pp. 61-80. https://doi.org/10.1287/isre.1060.0080
  • Dinev, Tamara; Xu, Heng; Smith, Jeff; Hart, Paul (2013). “Information privacy and correlates: An empirical attempt to bridge and distinguish privacy-related concepts”. European journal of information systems, v. 22, n. 3, pp. 295-316. https://goo.gl/MrX982 https://doi.org/10.1057/ejis.2012.23
  • Gómez-Barroso, José-Luis (2018). “Uso y valor de la información personal: un escenario en evolución”. El profesional de la información, v. 27, n. 1, pp. 5-18. https://doi.org/10.3145/epi.2018.ene.01
  • Gómez-Barroso, José-Luis; Feijóo, Claudio (2013). “Información personal: la nueva moneda de la economía digital”. El profesional de la información, v. 22, n. 4, pp. 290-297. https://doi.org/10.3145/epi.2013.jul.03
  • Huberman, Bernardo A.; Adar, Eytan; Fine, Leslie R. (2005). “Valuating privacy”. IEEE security & privacy, v. 3, n. 5, pp. 22-25. http://cond.org/deviance.pdf https://doi.org/10.1109/msp.2005.137
  • Hui, Kai-Lung; Tan, Bernard C. Y.; Goh, Chyan-Yee (2006). “Online information disclosure: Motivators and measurements”. ACM transactions on internet technology, v. 6, n. 4, pp. 415-441. https://goo.gl/7AYDCw https://doi.org/10.1145/1183463.1183467
  • Kehr, Flavius; Kowatsch, Tobias; Wentzel, Daniel; Fleisch, Elgar (2015). “Blissfully ignorant: The effects of general privacy concerns, general institutional trust, and affect in the privacy calculus”. Information systems journal, v. 25, n. 6, pp. 607-635. https://goo.gl/BDSxUF https://doi.org/10.1111/isj.12062
  • Keith, Mark J.; Babb, Jeffry S.; Lowry, Paul-Benjamin (2014). “A longitudinal study of information privacy on mobile devices”. En: Procs of the 47th Hawaii intl conf on system sciences – Hicss’14, pp. 3149-3158. Washington: IEEE. ISBN: 978 1 4799 2504 9 https://doi.org/10.1109/hicss.2014.391
  • Keith, Mark J.; Thompson, Samuel; Hale, Joanne; Lowry, Paul-Benjamin; Greer, Chapman (2013). “Information disclosure on mobile devices: Re-examining privacy calculus with actual user behavior”. International journal of human-computer studies, v. 71, n. 12, pp. 1163-1173. https://goo.gl/Zw85TY https://doi.org/10.1016/j.ijhcs.2013.08.016
  • Kobsa, Alfred; Cho, Hichang; Knijnenburg, Bart P. (2016). “The effect of personalization provider characteristics on privacy attitudes and behaviors: An elaboration likelihood model approach”. Journal of the Association for Information Science and Technology, v. 67, n. 11, pp. 2587-2606. https://goo.gl/HBw8By https://doi.org/10.1002/asi.23629
  • Kokolakis, Spyros (2017). “Privacy attitudes and privacy behavior: A review of current research on the privacy paradox phenomenon”. Computers & security, v. 64, pp.122-134. https://doi.org/10.1016/j.cose.2015.07.002
  • Laufer, Robert S.; Wolfe, Maxine (1977). “Privacy as a concept and a social issue: A multidimensional developmental theory”. Journal of social issues, v. 33, n. 3, pp. 22-42. https://goo.gl/qvCuY5 https://doi.org/10.1111/j.1540-4560.1977.tb01880.x
  • Li, Han; Sarathy, Rathindra; Xu, Heng (2010). “Understanding situational online information disclosure as a privacy calculus”. Journal of computer information systems, v. 51, n. 1, pp. 62-71. https://faculty.ist.psu.edu/xu/papers/jcis.pdf
  • Li, Ting; Unger, Till (2012). “Willing to pay for quality personalization? Trade-off between quality and privacy”. European journal of information systems, v. 21, n. 6, pp. 621-642. https://goo.gl/Kgo1PV https://doi.org/10.1057/ejis.2012.13
  • Morton, Anthony (2014). “‘All my mates have got it, so it must be okay’: Constructing a richer understanding of privacy concerns – An exploratory focus group study”. En: Gutwirth, Serge; Leenes, Ronald; De-Hert, Paul (eds.). Reloading data protection. Multidisciplinary insights and contemporary challenges, pp. 259-298. Dordrecht; Heidelberg; Londres; New York: Springer. ISBN: 978 94 007 7539 8 https://doi.org/10.1007/978-94-007-7540-4_13
  • Mothersbaugh, David L.; Foxx, William K.; Beatty, Sharon E.; Wang, Sijun (2012). “Disclosure antecedents in an online service context: The role of sensitivity of information”. Journal of service research, v. 15, n. 1, pp. 76-98. https://doi.org/10.1177/1094670511424924
  • Premazzi, Katia; Castaldo, Sandro; Grosso, Monica; Raman, Pushkala; Brudvig, Susan; Hofacker, Charles F. (2010). “Customer information sharing with e-vendors: The roles of incentives and trust”. International journal of electronic commerce, v. 14, n. 3, pp. 63-91. https://doi.org/10.2753/jec1086-4415140304
  • Sheng, Hong; Nah, Fiona-Fui-Hoon; Siau, Keng (2008). “An experimental study on ubiquitous commerce adoption: The impact of personalization and privacy concerns”. Journal of Associations for Information Systems, v. 9, n. 6, pp. 344–376. http://aisel.aisnet.org/jais/vol9/iss6/15
  • Steinfeld, Nili (2015). “Trading with privacy: The price of personal information”. Online information review, v. 39, n. 7, pp. 923-938. https://goo.gl/sTswKG https://doi.org/10.1108/oir-05-2015-0168
  • Sutanto, Juliana; Palme, Elia; Tan, Chuan-Hoo; Phang, Chee (2013). “Addressing the personalization-privacy paradox: An empirical assessment from a field experiment on smartphone users”. MIS quarterly, v. 37, n. 4, pp. 1141-1164. https://goo.gl/ggf2zr https://doi.org/10.25300/misq/2013/37.4.07
  • Taylor, David G.; Davis, Donna F.; Jillapalli, Ravi (2009). “Privacy concern and online personalization: The moderating effects of information control and compensation”. Electronic commerce research, v. 9, n. 3, pp. 203-223. https://goo.gl/dsB1m9 https://doi.org/10.1007/s10660-009-9036-2
  • Wang, Tien; Duong, Trong-Danh; Chen, Charlie C. (2016). “Intention to disclose personal information via mobile applications: A privacy calculus perspective”. International journal of information management, v. 36, n. 4, pp. 531-542. https://goo.gl/9MUhx1 https://doi.org/10.1016/j.ijinfomgt.2016.03.003
  • Ward, Steven; Bridges, Kate; Chitty, Bill (2005). “Do incentives matter? An examination of on-line privacy concerns and willingness to provide personal and financial information”. Journal of marketing communications, v. 11, n. 1, pp. 21-40. https://goo.gl/NVh43B https://doi.org/10.1080/1352726042000263575
  • Xu, Heng; Teo, Hock-Hai; Tan, Bernard C. Y.; Agarwal, Ritu (2009). “The role of push-pull technology in privacy calculus: The case of location-based services”. Journal of management information systems, v. 26, n. 3, pp. 135-174. https://goo.gl/Uj6Q48 https://doi.org/10.2753/mis0742-1222260305
  • Young, Kimberly S. (1998). Caught in the Net: How to recognize the signs of internet addiction and a winning strategy for recovery. New York: John Wiley. ISBN: 978 0 471 19159 9
  • Zhu, Hui; Ou, Carol X. J.; Van-den-Heuvel, Willem-Jan A. M.; Liu, Hongwei (2017). “Privacy calculus and its utility for personalization services in e-commerce: An analysis of consumer decision-making”. Information & management, v. 54, n. 4, pp. 427-437. https://goo.gl/y1CiPo https://doi.org/10.1016/j.im.2016.10.001
Fuente de los datos: Dialnet