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Specifying Usage of Social Media as a Formative Construct: Theory and Implications for Higher Education

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Frontier and Future Development of Information Technology in Medicine and Education

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 269))

Abstract

Theoretical advances the in the conceptualization and operationalization of usage of social media (SM) are lacking in Information Systems (IS) research area. This study extends the conceptualization of IS usage and specifications of formative constructs into the SM context, and proposes a formative model of SM usage. The model conceptualizes and operationalizes SM usage as a multidimensional formative construct. For estimating and validating the proposed model, the research of next steps is reported pertaining to data collection, instrument development, and data analysis. Contributions of this study for IS research and practical implications for SM companies and high education are discussed; limitations and avenues for future research are also addressed.

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References

  1. Barki H, Titah R, Boffo C (2007) Information system use-related activity: an expanded behavioral conceptualization of individual-level information system use. Inf Syst Res 18(2):173–192

    Article  Google Scholar 

  2. Bollen K, Lennox R (1991) Conventional wisdom on measurement: a structural equation perspective. Psychol Bull 110(2):305–314

    Article  Google Scholar 

  3. Boyd D, Ellison N (2007) Social network sites: definition, history, and scholarship. J Comput-Med Commun 13(1):210–230, http://jcmc.indiana.edu/vol13/issue1/boyd.ellison.html

    Google Scholar 

  4. Burton-Jones A, Straub DW (2006) Reconceptualizing system usage: an approach and empirical test. Inf Syst Res 17(3):228–246

    Article  Google Scholar 

  5. Burton-Jones A, Gallivan MJ (2007) Toward a deep understanding of system usage in organizations: a multilevel perspective. MIS Q 31(4):657–679

    Google Scholar 

  6. Cenfetelli RT, Bassellier G (2009) Interpretation of formative measurement in information systems research. MIS Q 33(4):689–707

    Google Scholar 

  7. Chin WW (1998) The partial least squares approach to structural equation modeling. In: Marcoulides GA (ed) Modern business research methods. Lawrence Erlbaum Associates, Mahwah

    Google Scholar 

  8. Chin WW, Marcolin BL, Newsted PR (2003) A partial least squares latent variable modeling approach for measuring interaction effects: results from a monte carlo simulation study and an electronic-mail emotion/adoption study. Inf Syst Res 14(2):189–217

    Article  Google Scholar 

  9. Colman T, Devinney TM, Midgley DF, Venaik S (2008) Formative versus reflective measurement models: two applications of formative measurement. J Bus Res 61:1250–1262

    Article  Google Scholar 

  10. DeLone WH, McLean ER (1992) Information system success: the quest for the dependent variable. Inf Syst Res 3(1):60–95

    Article  Google Scholar 

  11. DeLone WH, McLean ER (2003) The delone and mclean model of information systems success: a ten-year update. J Manage Inf Syst 19(4):9–30

    Google Scholar 

  12. Diamantopoulos A (2006) The error term in formative measurement models: interpretation and modeling implications. J Model Manage 1(1):7–17

    Article  Google Scholar 

  13. Diamantopoulos A, Siguaw JA (2006) Formative versus reflective indicators in organizational measure development: a comparison and empirical illustration. Br J Manag 17(4):263–282

    Article  Google Scholar 

  14. Diamantopoulos A, Winklhofer HM (2001) Index construction with formative indicators: an alternative to scale development. J Mark Res 38(2):269–277

    Article  Google Scholar 

  15. Ditsa G (2003) Activity theory as a theoretical foundation for information systems research. Inf Manage pp. 192–231

    Google Scholar 

  16. Doll WJ, Torkzadeh G (1998) Developing a multidimensional measure of system-use in an organizational context. Inf Manage 33(4):171–185

    Article  Google Scholar 

  17. Donath J (2007) Signals in Social Supernets. J Comput-Med Commun 13(1):231-251, http://jcmc.indiana.edu/vol13/issue1/donath.html

    Google Scholar 

  18. Enders A, Hungenberg H, Denker H, Mauch S (2008) The long tail of social networking: revenue models of social networking sites. Eur Manage J 26(3):199–211

    Article  Google Scholar 

  19. Formnell C, Bookstein FL (1982) A comparative analysis of two structural equation models: lisrel and pls applied to market data, In: Fornell (ed) A second generation of multivariate analysis, Vol 1, Praeger, New York, pp. 289–324

    Google Scholar 

  20. Goffman E (1959) The presentation of self in everyday life. Doubleday Anchor Books, New York

    Google Scholar 

  21. Holbrook MB (1994) The nature of customer value: an axiology of services in the consumption experience. In: Roland TR, Richard LO (eds) Service quality: new directions in theory and practice. Sage, Newbury Park, pp 21–71

    Chapter  Google Scholar 

  22. Hu T, Zhang X, Dai H, Zhang P (2012) An examination of gender differences among college students in their usage perceptions of the internet. Edu Inf Technolo 17:315–330

    Article  Google Scholar 

  23. Hu T, Poston R, Kettinger W (2011) Non-adopters of online social network services: is it easy to have fun yet! Commun Assoc Inf Syst 29(1):441–458

    Google Scholar 

  24. Hu T Kettinger W (2008) Why people continue to use online social networking services: developing a comprehensive model. In: Proceedings of 2008 ICIS, Paris, France, 14–17 Dec 2008

    Google Scholar 

  25. Jarvis CB, MacKenzie SB, Podsakoff PM (2003) A critical review of construct indicators and measurement model misspecification in marketing and consumer research. J Consum Res 30(2):199–218

    Article  Google Scholar 

  26. Kaplan AM, Haenlein M (2010) Users of the world, unite! the challenges and opportunities of social media. Bus Horiz 53:59–68

    Article  Google Scholar 

  27. Kim SS, Son JY (2009) Out of dedication or constraint? a dual model of post-adoption phenomena and its empirical test in the context of online services. MIS Q 33(1):49–70

    Google Scholar 

  28. Lamb R, Kling R (2003) Reconceptualizing users as social actors in information systems. MIS Q 27(2):197–236

    Google Scholar 

  29. Lenhart A, Purcell K, Smith A, Zickuhu S (2010) Social media & mobile internet use among teens and young adults http://web.pewinternet.org/~/media/Files/Reports/2010/PIP_Social_Media_and_Young_Adults_Report_Final_with_toplines.pdf. Accessed 31 March 2013

  30. MacKenzie SB, Podsakoff PM, Jarvis CB (2005) The problem of measurement model misspecification in behavioral and organizational research and some recommended solutions. J Appl Psychol 90(4):710–730

    Article  Google Scholar 

  31. Mathwick C, Malhortra N, Rigdon E (2001) Experiential value: conceptualization, measurement and application in the catalog and internet shopping environment. J Retail 77(1):39–56

    Article  Google Scholar 

  32. Mithas S, Ramasubbu N, Krishnan MS, Fornell C (2007) Designing web sites for customer loyalty across business domains: a multilevel analysis. J Manage Inf Syst 23(3):97–127

    Article  Google Scholar 

  33. Nahapiet J, Ghoshal S (1998) Social capital, intellectual capital, and the organizational advantage. Acad Manag Rev 23(2):242–266

    Google Scholar 

  34. Nardi BA (1996) Activity theory and human computer interaction. In: Nardi BA (ed) Context and consciousness: activity theory and human-computer interaction. The MIT Press, Cambridge, pp 1–8

    Google Scholar 

  35. Newman M, Robey D (1992) A social process model of user-analyst relationships. MIS Q 16(2):249–266

    Article  Google Scholar 

  36. Orlikowski W (1992) The duality of technology: rethinking the concept of technology in organizations. Organ Sci 3(3):398–427

    Article  Google Scholar 

  37. Orlikowski WJ, Iacono SC (2001) Research commentary: desperately seeking the “it” in it research – a call to theorizing the it artifact. Inf Syst Res 12(2):121–134

    Article  Google Scholar 

  38. Parameswaran M, Whinston AB (2007) Research issues in social computing. J Assoc Inf Syst 8(6):336–350

    Google Scholar 

  39. Petter S, Straub D, Rai A (2007) Specifying formative constructs in information systems research. MIS Q 31(4):623–656

    Google Scholar 

  40. Rosen C (2007) Virtual friendship and the new narcissism, New Atlantis 17:15–31

    Google Scholar 

  41. Straub D, Limayem M, Karahanna E (1995) Measuring system usage: implications for is theory testing. Manage Sci 41(8):1328–1342

    Article  Google Scholar 

  42. Sweeney JC, Soutar GN (2001) Consumer perceived value: the development of a multiple item scale. J Retail 77(2):203–220

    Article  Google Scholar 

  43. Venkatesh V, Brown SA, Maruping LM, Bala H (2008) Predicting different conceptualizations of system use: the competing roles of behavioural intention, facilitating conditions, and behavioural expectation. MIS Q 32(3):483–502

    Google Scholar 

  44. Venkatesh V, Thong JYL, Xu X (2012) Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q 36(1):157–178

    Google Scholar 

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Hu, T., Zhang, P., Gao, G., Jiao, S., Ke, J., Lian, Y. (2014). Specifying Usage of Social Media as a Formative Construct: Theory and Implications for Higher Education. In: Li, S., Jin, Q., Jiang, X., Park, J. (eds) Frontier and Future Development of Information Technology in Medicine and Education. Lecture Notes in Electrical Engineering, vol 269. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7618-0_55

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  • DOI: https://doi.org/10.1007/978-94-007-7618-0_55

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-7617-3

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