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What does it mean to trust facebook?: examining technology and interpersonal trust beliefs

Published: 24 May 2011 Publication History

Abstract

Researchers have recently studied technology trust in terms of the technological artifact itself. Two different kinds of trusting beliefs could apply to a website artifact. First, the trusting beliefs may relate to the interpersonal characteristics--competence, integrity, and benevolence. Second, they may relate to corresponding technology characteristics--functionality, reliability, and helpfulness. Since social networking websites like Facebook may demonstrate either interpersonal or technology trust characteristics, researchers may need to carefully choose the beliefs to model. Thus it is important to understand not only the conceptual meaning of these beliefs, but also whether human and technology trust beliefs are distinct. Using data collected from 362 university-student Facebook users, we test two second-order factor structures that represent alternative ways to model the three interpersonal and three technology trust beliefs. We find that the best-fitting measurement model depicts the three conceptually-related pairs of trust beliefs (competence-functionality, integrity-reliability, and benevolence-helpfulness) as three distinct second-order factors. This model outperformed the model splitting trusting beliefs into separate interpersonal and technology second-order factors. The results show people distinguish among three types of conceptually-related trust attributes, and that they trust Facebook as both a technology and a quasi-person. These second-order trust factors can be used in future research to better understand social networking trust and usage continuance intentions

References

[1]
Al Abri, D., McGill, T., and Dixon, M. (2009). Examining the Impact of E-Privacy Risk Concerns on Citizens' Intentions to Use E-Government Services: An Oman Perspective. Journal of Information Privacy & Security, 5(2), 3--26.
[2]
Bausch, S., and Han, L. (2006). Podcasting Gains an Important Foothold among U.S. Adult Online Population. Nielsen/NetRatings Retrieved 9/2/2007, from http://www.nielsen-netratings.com/pr/pr_060712.pdf.
[3]
Belsley, D. A., Kuh, E., and Welsch, R. E. (1980). Regression Diagnostics: Identifying Influential Data and Sources of Collinearity, New York: John Wiley & Sons.
[4]
Bhattacherjee, A. (2002). Individual Trust in Online Firms: Scale Development and Initial Trust, Journal of Management Information Systems, 19(1), 213--243.
[5]
Browne, M. W., and Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen and J. S. Long (Eds.). Testing Structural Equation Models, 136--161. Newbury Park, CA: Sage.
[6]
Byrne, B. M. (2006). Structural Equation Modeling with EQS, Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
[7]
Chin, W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.). Modern Methods for Business Research, 295--336. Mahwah, NJ: Lawrence Erlbaum Associates.
[8]
Corbett, P. (2010) Facebook demographics and statistics report 2010 -- 145% growth in 1 year. Retrieved 05/20/10, from http://www.istrategylabs.com/2010/01/facebook-demographics-and-statistics-report-2010-145-growth-in-1-year/.
[9]
Diamantopoulos, A., Riefler, P., and Roth, K. P. (2008). Advancing Formative Measurement Models. Journal of Business Research, 61, 1203--121.
[10]
Dinev, T., and Hart, P. (2006). An Extended Privacy Calculus Model for E-Commerce Transactions. Information Systems Research, 17(1), 61--80.
[11]
Doll, W. J., Xia, W., and Torkzadeh, G. (1994). A Confirmatory Analysis of the End-User Computing Satisfaction Instrument. MIS Quarterly, 18(4), 453--461.
[12]
Dwyer, C., Hiltz, S. R., and Passerini, K. (2007). Trust and Privacy Concern within Social Networking Sites: A Comparison of Facebook and MySpace. Proceedings of the Thirteenth Americas Conference on Information Systems, Keystone Colorado, August 9 -12.
[13]
Edwards, J. R. (2001). Multidimensional Constructs in Organizational Behavior Research: An Integrative Analytical Framework. Organizational Research Methods, 4(2), 144--182.
[14]
Elangovan, A. R., and Xie, J. L. (1999). Effects of Perceived Power of Supervisor on Subordinate Stress and Motivation: The Moderating Role of Subordinate Characteristics. Journal of Organizational Behavior, 20, 359--373.
[15]
Fisher, J., and Mason, R. (1981). The analysis of multicollinear data in criminology. In J. Fox (Ed.). Quantitative Criminology. New York: Academic Press.
[16]
Fogel, J., and Nehmad, E. (2009). Internet Social Network Communities: Risk Taking, Trust, and Privacy Concerns. Computers in Human Behavior, 25, 153--160.
[17]
Fornell, C., and Larcker, D. F. (1981). Evaluating Structural Equations with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18, 39--50.
[18]
Friedman, B., Kahn, Jr., P. H., and Howe, D. C. (2000). Trust Online. Communications of the ACM, 43(12), 34--40.
[19]
Gabarro, J. J. (1978). The development of trust, influence, and expectations. In A. G. Athos and J. J. Gabarro (Eds.). Interpersonal Behavior: Communication and Understanding in Relationships, 290--303. Englewood Cliffs, NJ: Prentice-Hall.
[20]
Gefen, D., Karahanna, E., and Straub, D. W. (2003). Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly, 27(1), 51--90.
[21]
Gefen, D., and Ridings, C. M. (2003). IT Acceptance: Managing Use-IT Group Boundaries. Database for Advances in Information Systems, 34(3), 25--30.
[22]
Hair, J. F., Anderson, R. E., Tatham, R. L., and Black W. C. (1998). Multivariate Data Analysis, Upper Saddle River: Prentice Hall.
[23]
Hu, L., and Bentler, P. M. (1999). Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria versus New Alternatives. Structural Equation Modeling, 6(1), 1--55.
[24]
Jarvenpaa, S. L., Tractinsky, N., and Vitale, M. (2000). Consumer Trust in an Internet Store. Information Technology and Management, 1(1--2), 45--71.
[25]
Kennedy, M., and Sakaguchi, T. (2009). Trust in social networking: Definitions from a global, cultural viewpoint. In C. Romm-Livermore and K. Setzekorn (Eds.) Social Networking Communities and E-Dating Services: Concepts and Implications, 225--238. Hershey, PA: Information Science Reference.
[26]
Kim, D. (2008). Self-Perception Based versus Transference-Based Trust Determinants in Computer-Mediated Transactions: A Cross-Cultural Comparison Study. Journal of Management Information Systems, 24(4), 13--45.
[27]
Klein, R. (1996). Internet-Based Patient-Physician Electronic Communication Applications: Patient Acceptance and Trust. e-Service Journal, 5(2), 27--51.
[28]
Kline, R. B. (1998). Principles and Practice of Structural Equation Modeling, New York: The Guildford Press.
[29]
Komiak, S. Y. X., and Benbasat, I. (2006). The Effects of Personalization and Familiarity on Trust and Adoption of Recommendation Agents. MIS Quarterly, 30(4), 941--960.
[30]
Law, K. S., Wong, C. S., and Mobley, W. H. (1998). Towards a Taxonomy of Multidimensional Constructs. The Academy of Management Review, 23(4), 741--755.
[31]
Law, K. S., and Wong, C. S. (1999). Multidimensional Constructs in Structural Equation Analysis: An Illustration Using the Job Perception and Job Satisfaction Constructs. Journal of Management, 25(2), 143--160.
[32]
Lee, J. D., and See, K. A. (2004). Trust in Automation: Designing for Appropriate Reliance. Human Factors, 46(1), 50--81.
[33]
Lee, M. K. O., and Turban, E. (2001). A Trust Model for Consumer Internet Shopping. International Journal of Electronic Commerce, 6(1), 75--91.
[34]
Levi-Strauss, L. (1968). The Savage Mind. Chicago: University Of Chicago Press, 1968.
[35]
Lewicki, R. J., McAllister, D. J., and Bies, R. J. (1998) Trust and distrust: New relationships and realities. Academy of Management Review, 23(3), 438--458.
[36]
Li, X., Rong, G., and Thatcher, J. (2009). Swift Trust in Web Vendors: The Role of Appearance and Functionality. Journal of Organizational and End User Computing, 2191), 88--108.
[37]
Lippert, S. K.(2001). An Exploratory Study into the Relevance of Trust in the Context of Information Systems Technology. PhD Dissertation, The George Washington University.
[38]
Lippert, S. K. (2007). Investigating Post-adoption Utilization: An Examination into the Role of Interorganizational and Technology Trust. IEEE Transactions on Engineering Management, 54(3), 468--483.
[39]
Lippert, S. K., and Swiercz, P. (2005). Human Resources Information Systems (HRIS) and Technology Trust. Journal of Information Science, 31(5), 340--353.
[40]
Lipsman, A. (2007). Facebook Sees Flood of New Traffic from Teenagers and Adults, Comscore. Retrieved 8/14/2007, from http://www.comsocire.com/press/relaease.asp?press=1519.
[41]
Lowry, P. B., Vance, A., Moody, G., Beckman, B., and Read, A. (2008). Explaining and Predicting the Impact of Branding Alliances and Web Site Quality on Initial Consumer Trust of e-Commerce Web Sites. Journal of Management Information Systems, 24(4), 199--224.
[42]
MacKenzie, S. B., Podsakoff, P. N., and Jarvis, C. B. (2005). The Problem of Measurement Model Misspecification in Behavioral and Organizational Research and Some Recommended Solutions. Journal of Applied Psychology, 90(4), 710--730.
[43]
Marsh, H. W., Hau, K. T., and Wen, Z. (2004). In Search of Golden Rules: Comment on Hypothesis Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings. Structural Equation Modeling, 11(3), 320--341.
[44]
Marsh, H. W., and Hocevar, D. (1985). Application of Confirmatory Factor Analysis to the Study of Self-Concept: First and Higher Order Factor Models and Their Invariance across Groups. Psychological Bulletin, 97, 562--582.
[45]
Mayer, R. C., Davis, J. H., and Schoorman, F. D. (1995). An Integrative Model of Organizational Trust. The Academy of Management Review, 20(3), 709--734.
[46]
McKinney, V., Yoon, K. and Zahedi, F. M. (2002). The Measurement of Web Customer Satisfaction: An Expectation and Disconfirmation Approach. Information Systems Research, 13(3), 296--315.
[47]
McKnight, D. H. (2005). Trust in Information Technology. In G.B. Davis (Ed.). The Blackwell Encyclopedia of Management, Management Information Systems, 7, 329--331. Malden, MA: Blackwell,.
[48]
McKnight, D. H., Choudhury, V., and Kacmar, C. J. (2002a). Developing and Validating Trust Measures for e-Commerce: An Integrative Typology. Information Systems Research, 13(3), 334--359.
[49]
McKnight, D. H., Choudhury, V. and Kacmar, C. J. (2002b). The Impact of Initial Consumer Trust on Intentions to Transact with a Web Site: A Trust Building Model. Journal of Strategic Information Systems, 11(3), 297--323.
[50]
McKnight, D. H., Cummings, L. L., and Chervany, N. L. (1998). Initial Trust Formation in New Organizational Relationships. Academy of Management Review, 23(3), 473--490.
[51]
Muir, B. M., and Moray, N. (1996). Trust in Automation. Part II. Experimental Studies of Trust and Human Intervention in a Process Control Simulation. Ergonomics, 39(3), 429--460.
[52]
Nielsen, J. and Loranger, H. (2006). Prioritizing Web Usability. Berkeley, CA: New Riders.
[53]
Petter, S., Straub, D. W., and Rai, A. (2007). Specifying Formative Constructs in Information Systems Research. MIS Quarterly, 31(4), 623--65.
[54]
Podsakoff, N., Shen, W., Podsakoff, P. M. (2006). The role of formative measurement models in strategic management research: Review, critique and implications for future research. In D. En, D. Ketcheny and D. Bergh (Eds.) Research Methodology in Strategic Management, 197--252. Greenwich, CT: JAI Press.
[55]
Reeves, B., and Nass, C. (1996). The Media Equation: How People Treat Computers, Television, and New Media like Real People and Places. Cambridge: Cambridge University Press.
[56]
Rempel, J. K., Holmes, J. G., and Zanna, M. P. (1985). Trust in Close Relationships. Journal of Personality and Social Psychology, 49, 95--112.
[57]
Rutner, P. S., Hardgrave, B. C., and McKnight, D. H. (2008). Emotional Dissonance and the Information Technology Professional. MIS Quarterly, 32(3), 635--652.
[58]
Schumaker, R. E., and Lomax, R. G. (1996). A Beginner's Guide to Structural Equation Modeling, Mahwah, New Jersey: Lawrence Erlbaum Associations.
[59]
Segars, A. H., and Grover, V. (1998). Strategic Information Systems Planning Success: An Investigation of the Construct and its Measurement. MIS Quarterly, 22(2), 139--163.
[60]
Sledgianowski, D., and Kulviwat, S. (2009). Using Social Network Sites: The Effects of Playfulness, Critical Mass and Trust in an Hedonic Context. The Journal of Computer Information Systems, 48(4), 74--83.
[61]
Smith, H. J., Milberg, S. J., and Burke, S. J. (1996). Information Privacy: Measuring Individuals' Concerns About Organizational Practices. MIS Quarterly, 20(2), 167--196.
[62]
Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. In S. Leinhart (Ed.) Sociological Methodology, 290--312, San Francisco: Jossey-Bass.
[63]
Sobel, M. E. (1986). Some new results on indirect effects and their standard errors in covariance structure models. In N. Tuma (Ed.) Sociological Methodology, 159--186, Washington D.C.: American Sociological Association.
[64]
Straub, D., Boudreau, M. C., and Gefen, D. (2004). Valuation Guidelines for IS Positivist Research. Communications of the Association for Information Systems, 13, 380--427.
[65]
Tanriverdi, H. (2006). Performance Effects of Information Technology Synergies in Multibusiness Firms. MIS Quarterly, 30(1), 57--77.
[66]
Turel, O., Yuan, Y., and Connelly, C. E. (2008). In Justice we Trust: Predicting User Acceptance of e-Customer Services. Journal of Management Information Systems, 24(4), 123--151.
[67]
Ullman, J. G. (2001). Structural equation modeling. In B. G. Tabachnick and L. S. Fidell (Eds.). Understanding Multivariate Statistics, 4th edition, 653--771. Nedham Heights, MA: Allyn and Bacon.
[68]
Venkatesh, V., Morris, M. G., Davis, G. B., and Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425--478.
[69]
Venkatesh, V., and Davis, F. D. (1996). A Model of the Antecedents of Perceived Ease of Use: Development and Test. Decision Sciences, 27(3), 451--481.
[70]
Wang, W., and Benbasat, I. (2005). Trust in and Adoption of Online Recommendation Agents. Journal of the Association for Information Systems, 6(3), 72--101.
[71]
Widaman, K. (1985), Hierarchically Nested Covariance Structure Models for Multitrait-Multimethod Data. Applied Psychological Measurement, 9(1), 1--23.

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    cover image ACM SIGMIS Database: the DATABASE for Advances in Information Systems
    ACM SIGMIS Database: the DATABASE for Advances in Information Systems  Volume 42, Issue 2
    May 2011
    107 pages
    ISSN:0095-0033
    EISSN:1532-0936
    DOI:10.1145/1989098
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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 24 May 2011
    Published in SIGMIS Volume 42, Issue 2

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