Assessment of Business Analytics Trust Through Examination of Personal IT Use

  • Benjamin LarsonEmail author
  • Casey Cegielski
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 529)


IT consumerization has brought social media (SM) and personal mobile devices into many workplaces. This has prompted researchers to examine the benefits and risks of this trend. However, little research has examined how personal experiences with technology such as social media may affect decision making on the job. This study examines the potential impact of individuals’ trusting beliefs (competence, benevolence, and integrity) regarding algorithms and social media communities (SMC) on initial trust in SM-based business analytics (BA), as well as on relative advantage over non-SM based BA. Study results suggested that the initial trust was influenced by the belief in the competency of personal algorithms as well as trust in SMC. It also indicates that increased trust in SMC influences relative advantage. Implications and suggestions for further research are discussed.


Trust Business analytics Big data Consumerization Social media 


  1. 1.
    Bhattacherjee, A.: Individual trust in online firms: scale development and initial test. J. Manage. Inform. Syst. 19(1), 211–242 (2002)Google Scholar
  2. 2.
    Choudhury, V., Karahanna, E.: The relative advantage of electronic channels: a multidimensional view. MIS Q. 32(1), 179–200 (2008)Google Scholar
  3. 3.
    Fornell, C., Larcker, D.F.: Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 18(1), 39–50 (1981)CrossRefGoogle Scholar
  4. 4.
    Gefen, D., Karahanna, E., Straub, D.W.: Trust and TAM in online shopping: an integrated model. MIS Q. 27(1), 51–90 (2003)Google Scholar
  5. 5.
    Hair, J.F., Anderson, R.E., Tatham, R.L., Black, W.C.: Multivariate Data: Analysis with Readings. Prentice-Hall, Upper Saddle River (2010)Google Scholar
  6. 6.
    Kline, R.B.: Principles and Practices of Structural Equation Modeling, 2nd edn. Guilford Press, New York (2005)Google Scholar
  7. 7.
    McKnight, D.H., Choudhury, V., Kacmar, C.: Developing and validating trust measures for e-commerce: an integrative typology. Inform. Syst. Res. 13(3), 334–359 (2002)CrossRefGoogle Scholar
  8. 8.
    Parasuraman, R., Riley, V.: Humans and automation: use, misuse, disuse, abuse. human factors. J. Hum. Factors Ergon. Soc. 39(2), 230–253 (1997)CrossRefGoogle Scholar
  9. 9.
    Pavlou, P.A., Dimoka, A.: The nature and role of feedback text comments in online marketplaces: implications for trust building, price premiums, and seller differentiation. Inform. Syst. Res. 17(4), 392–414 (2006)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Aviation and Supply Chain ManagementAuburn UniversityAuburnUSA

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