Abstract
Social media technologies and tools are emerging as important source of firm business value creation. In this study, an extended version of the technology acceptance model (TAM) that integrates perceived risk and security is used to assess the acceptance of social media within the workspace across multiple countries and to test for user’s behaviors homogeneity. In addition, the study investigates the moderating effects of user computer experience on the relationship between user’s attitude and intention to use social media. To test the proposed model, the study uses data gathered from the US, Australia, the UK, Canada, and India. In the data analysis process, the study uses the full data and data from each country. The results detect the existence of user’s behaviors heterogeneity across the countries under study; confirm the robustness of the TAM in the context of social media within the workspace. Finally, implications for research and practice are proposed.
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References
Stephen, A.T., Toubia, O.: Deriving value from social commerce networks. J. Mark. Res. 47(2), 215–222 (2010)
Culnan, M.J., McHugh, P.J., Zubillaga, J.I.: How large U.S. companies can use twitter and other social media to gain business value. MIS Q. Executive 9(4), 243–259 (2010)
Burke, W.Q., Fields, D.A., Kafai, Y.B.: Entering the clubhouse: case studies of young programmers joining the online scratch communities. J. Organ. End User Comput. 22(2), 21 (2010)
IBM: Social Commerce Defined, IBM, Editor. IBM (2009)
Herhold, K.: How Businesses Use Social Media: 2017 Survey (2017). https://clutch.co/agencies/social-media-marketing/resources/social-media-survey-2017. Cited 16 Nov 2017
STATISTA: Social network advertising revenue from 2014 to 2017 (in billion U.S. dollars) (2017). https://www.statista.com/statistics/271406/advertising-revenue-of-social-networks-worldwide/. Cited 15 Nov 2017
Fosso Wamba, S., et al.: Role of intrinsic and extrinsic factors in user social media acceptance within workspace: assessing unobserved heterogeneity. Int. J. Inf. Manage. 37(2), 1–13 (2017)
Fosso Wamba, S., Carter, L.: Social media tools adoption and use by SMES: an empirical study. J. Organ. End User Comput. 26(2), 1–17 (2014)
Fosso Wamba, S., Edwards, A.J.: Factors related to social media adoption and use for emergency services operations: the case of the NSW SES. In: 20th Americas Conference on Information Systems, Savannah, Georgia, USA (2014)
Meire, M., Ballings, M., Van den Poel, D.: The added value of social media data in B2B customer acquisition systems: A real-life experiment. Decis. Support Syst. 104(Supplement C), 26–37 (2017)
Dong, J.Q., Wu, W.: Business value of social media technologies: evidence from online user innovation communities. J. Strateg. Inf. Syst. 24(2), 113–127 (2015)
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)
Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage. Sci. 46(2), 186–204 (2000)
Venkatesh, V., et al.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003)
Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manage. Sci. 35(8), 982–1003 (1989)
Trinchera, L.: Unobserved Heterogeneity in Structural Equation Models: a new approach to latent class detection in PLS Path Modeling, p. 338. Universita degli Studi di Napoli Federico II, Napoli (2007)
Teuku, N.: The effects of experience, complexity, and computer self efficacy factors towards the use of human resources information system application. J. Res. Bus. Manage. 2(11), 26–33 (2014)
Thong, J.Y.L., et al.: Consumer acceptance of personal information and communication technology services. IEEE Trans. Eng. Manage. 58(4), 613–625 (2011)
Ringle, C.M., Wende, S., Becker, J.-M.: SmartPLS 3 (2014). www.smartpls.com
Leung, J., Cheung, W., Chu, S.-C.: Aligning RFID applications with supply chain strategies. Inf. Manage. 51(2), 260–269 (2014)
Fosso Wamba, S., Ngai, E.W.T.: Importance of issues related to RFID-enabled healthcare transformation projects: results from a delphi study. Prod. Plann. Control 26(1), 19–33 (2015)
Guadagnoli, E., Velicer, W.: Relation of sample size to the stability of component patterns. Psychol. Bull. 103, 265–275 (1988)
Chin, W.W.: The partial least squares approach for structural equation modeling (1998)
Chin, W.W.: How to write up and report PLS analyses. In: Handbook of Partial Least Squares, pp. 655–690 (2010)
Fornell, C., Larcker, D.F.: Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 18(1), 39–50 (1981)
Becker, J.-M., et al.: Discovering unobserved heterogeneity in structural equation models to avert validity threats. MIS Q. 37(3), 665–694 (2013)
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Fosso Wamba, S. (2018). Social Media Use in the Workspace: Applying an Extension of the Technology Acceptance Model Across Multiple Countries. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 747. Springer, Cham. https://doi.org/10.1007/978-3-319-77700-9_38
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DOI: https://doi.org/10.1007/978-3-319-77700-9_38
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