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Role of Privacy Concern and Control to Build Trust in Personalized Social Networking Sites

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Intelligent Systems

Abstract

Personalization is used in social networking Web sites to endow users’ need to serve better which are widely researched, but little is known about the role of privacy concern, control of the user toward trust building, and the decision to making with personalized social networking Web sites. This research develops a model to identify the effect of content personalization on users’ privacy concerns and desire to control social networking Web sites and also shows users’ trust building to predict users’ intention to revisit social networking. The result shows users to develop higher privacy concerns and more desire to control with higher content personalization in social networking sites; it also identifies a high correlation of privacy concerns, control of users in trust building, and positive behavioral intentions toward social networking sites. The model fit result shows a good fit for the proposed model which further can be used in personalization design and implementation strategies in social networking sites.

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References

  1. Al Qudah DA, Al-Shboul B, Al-Zoubi A, Al-Sayyed R, Cristea AI (2020) Investigating users’ experience on social media ads: perceptions of young users. Heliyon 6(7)

    Google Scholar 

  2. Appel G, Grewal L, Hadi R, Stephen AT (2020) The future of social media in marketing. J Acad Mark Sci 48(1):79–95

    Article  Google Scholar 

  3. Chellappa RK, Shivendu S (2006) A model of advertiser—portal contracts: personalization strategies under privacy concerns. Inf Technol Manage 7(1):7–19

    Article  Google Scholar 

  4. Chellappa RK, Sin RG (2005) Personalization versus privacy: an empirical examination of the online consumer’s dilemma. Inf Technol Manage 6:181–202

    Article  Google Scholar 

  5. Dwyer C, Hiltz SR, Passerini K (2007) Trust and privacy concerns within social networking sites: a comparison of Facebook and MySpace. In: Americas conference on information systems, proceedings of the thirteenth Americas conference on information systems, Keystone, 9–12 Aug, Colorado, USA, p 339

    Google Scholar 

  6. Desai D (2019) Personalization aspects affecting users’ intention to revisit social networking site. Int J Trend Sci Res Dev (IJTSRD) 4(1):612–621. ISSN: 2456-6470. https://doi.org/10.31142/ijtsrd29631

  7. Taylor DG, Davis D, Jillapalli R (2009) Privacy concern and online personalization: the moderating effects of information control and compensation. Electron Commerce Res 9:203–223. https://doi.org/10.1007/s10660-009-9036-2

    Article  Google Scholar 

  8. Desai D (2019) An empirical study of website personalization effect on users intention to revisit E-commerce website through cognitive and hedonic experience. In: Balas V, Sharma N, Chakrabarti A (eds) Data management, analytics and innovation. Advances in intelligent systems and computing, vol 839. Springer

    Google Scholar 

  9. Gupta A, Dhami A (2015) Measuring the impact of security, trust and privacy in information sharing: a study on social networking sites. J Direct, Data Digital Market Pract 17(1):43–53

    Article  Google Scholar 

  10. Stevenson D, Pasek (2015) Privacy concern, trust, and desire for content personalization (March 30, 2015). In: The 43rd research conference on communication, information and internet policy

    Google Scholar 

  11. Mohamed N, Ahmad IH (2012) Information privacy concerns, antecedents and privacy measure use in social networking sites: evidence from Malaysia. Comput Human Behavior 28(6):2366–2375

    Google Scholar 

  12. Shin D (2010) The effects of trust, security and privacy in social networking: a security-based approach to understand the pattern of adoption. Interact Comput 22(5):428–438. https://doi.org/10.1016/j.intcom.2010.05.001

    Article  Google Scholar 

  13. Senthil Kumar N, Saravanakumar K, Deepa K (2016) On privacy and security in social media—a comprehensive study. Phys Procedia 78:114–119

    Google Scholar 

  14. Tucker CE (2014) Social networks, personalized advertising, and privacy controls. J Mark Res 51(5):546–562

    Article  Google Scholar 

  15. Komiak S, Benbasat I (2006) The effects of personalization and familiarity on trust and adoption of recommendation agents. MIS Q 30(4):941–960. https://doi.org/10.2307/25148760

    Article  Google Scholar 

  16. Aldhafferi N, Watson C, Sajeev ASM (2013) Personal information privacy settings of online social networks and their suitability for mobile internet devices. Int J Secur Privacy Trust Manag 2(2):1–17

    Google Scholar 

  17. Anderson JC, Gerbing DW (1988) Structural equation modeling in practice: a review and recommended two-step approach. Psychol Bull 103(3):411–423. https://doi.org/10.1037/0033-2909.103.3.411

    Article  Google Scholar 

  18. Fornell C, Larcker D (1981) Evaluating structural equation models with unobservable variables and measurement error. J Mark Res 18(1):39–50. https://doi.org/10.2307/3151312

    Article  Google Scholar 

  19. Bagozzi RP, Yi Y (1988) On the evaluation of structural equation models. JAMS 16:74–94

    Article  Google Scholar 

  20. Hair Jr, J. F. et al. (1998) Multivariate Data Analysis with Readings. Englewood Cliffs, NJ: Prentice-Hall.

    Google Scholar 

  21. Bentler PM, Bonett Douglas G (1980) Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin 88(3):588–606.

    Google Scholar 

  22. Jöreskog KG, Sörbom D (1981) LISREL V user's guide. Chicago: Int Educational Services.

    Google Scholar 

  23. Hu LT, Bentler PM (1999) Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Eq Model 6:1–55

    Google Scholar 

  24. Browne MW, Cudeck R (1993) Alternative Ways of Assessing Model Fit. Sage Publications, Newbury Park, CA.

    Google Scholar 

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Desai, D. (2021). Role of Privacy Concern and Control to Build Trust in Personalized Social Networking Sites. In: Sheth, A., Sinhal, A., Shrivastava, A., Pandey, A.K. (eds) Intelligent Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-2248-9_10

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