Skip to main content
Springer Nature Link
Log in

Social-Technology Fit: A Conceptual Model

  • Conference paper
  • First Online:
The 8th International Conference on Knowledge Management in Organizations

Part of the book series: Springer Proceedings in Complexity ((SPCOM))

  • 2987 Accesses

Abstract

Literature has paid limited attention to the explanation model of social networking performance. It is argued that a healthy social networking should have a fitting structure among the technology characteristics (e.g., communication and cooperation), social characteristics (e.g., demands of privacy and trust), and individual characteristics (e.g., the tendency of self-realization) to develop its social values in a stable manner. In consequence, this study proposes a conceptual explanation model for social networking performance, which is called Social-Technology Fit Model (STFM). The STFM is based on the theories of technology-performance model and technology-task fit model. The STFM with theoretical arguments and instrument for variables is presented in this paper.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Allen B (1990) Information as an economic commodity. Am Econ Rev 80(2):268–273

    Google Scholar 

  2. Bandura A (1986) Social foundations of thought and action: a social cognitive theory. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  3. Bertot JC, Jaeger PT, Hansen D (2012) The impact of polices on government social media usage: issues, challenges, and recommendations. Gov Inf Q 29(1):30–40

    Article  Google Scholar 

  4. Carpenter JM, Green MC, LaFlam J (2011) People or profiles: individual differences in online social networking use. Pers Individ Differ 50(5):538–541

    Article  Google Scholar 

  5. Castelfranchi C (2001) Theory of social functions: challenges for computational social science and multi-agent learning. Cogn Syst Res 2(1):5–38

    Article  Google Scholar 

  6. Chen JV, Ross WH, Huang SF (2008) Privacy, trust, and justice considerations for location-based mobile telecommunication services. Info 10(4):30–45

    Article  Google Scholar 

  7. Csikszentmihalyi M, Csikszentmihalyi IS (1988) Optimal experience: psychological studies of flow in consciousness. Cambridge University Press, Cambridge

    Book  Google Scholar 

  8. Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 13(3):319–340

    Article  Google Scholar 

  9. Delone WH, McLean ER (1992) Informaiton system success: the quest for the dependent variable. Inf Sys Res 3(1):60–95

    Article  Google Scholar 

  10. Dennis AR, Wixom BH, Vandenberg RJ (2001) Understanding fit and appropriation effects in group support systems via meta-analysis. MIS Q 25(2):167–193

    Article  Google Scholar 

  11. Edwards JR (1991) Person-job fit: a conceptual integration, literature review, and methodological critique. In: Cooper CL, Robertson IT (eds) International review of industrial/organizational psychology. Wiley, New York, pp 283–357

    Google Scholar 

  12. Enders A, Hungenberg H, Denker H-P, 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 

  13. Fournier S, Lee L (2009) Getting brand communities right. Harvard Bus Rev 87(4):105–111

    Google Scholar 

  14. Fuller J, Faullant R, Matzler K (2010) Triggers for virtual customer integration in the development of medical equipment—From a manufacturer and a user’s perspective. Ind Mark Manage 39(8):1376–1383

    Article  Google Scholar 

  15. Goodhue DL, Thompson RL (1995) Task-technology fit and individual performance. MIS Q 19(2):213–236

    Article  Google Scholar 

  16. Haefliger S, Monteiro E, Foray D, von Krogh G (2011) Social software and strategy. Long Range Plan 44(5–6):297–316

    Article  Google Scholar 

  17. Hahnel R (2005) Economic justice and democracy: from competition to cooperation. Routledge, New York

    Google Scholar 

  18. Hartmann RW, Manchanda P, Nair H, Bothner M, Dodds P, Godes D, Hosanagar K, Tucker C (2008) Modeling social interactions: identification, empirical methods and policy implications. Mark Lett 19(3–4):287–304

    Article  Google Scholar 

  19. Hoegl M, Schulze A (2005) How to support knowledge creation in new product development: an investigation of knowledge management methods. Eur Manage J 23(13):263–273

    Article  Google Scholar 

  20. Hoffman DL, Novak TP (1996) Marketing in hypermedia computer-mediated environments: conceptual foundations. J Mark 60:50–68

    Article  Google Scholar 

  21. Hogel M, Beisheim O (2005) How to support knowledge creation in new product development: an investigation of knowledge management methods. Eur Manage J 23:263–273

    Article  Google Scholar 

  22. Hsu HY, Tsou HT (2011) Understanding customer experiences in online blog environments. Int J Inf Manage 31:510–523

    Article  Google Scholar 

  23. Jan UA, Contreras V (2011) Technology acceptance model for the use of information technology in universities. Comput Hum Behav 27:845–851

    Article  Google Scholar 

  24. Junglas I, Abraham C, Watson RT (2008) Task-technology fit for mobile locatable information systems. Decis Support Syst 45:1046–1057

    Article  Google Scholar 

  25. Junglas IA, Watson RT (2008) Location-based services. Commun ACM 51(3):65–69

    Article  Google Scholar 

  26. Keng CJ, Ting HY (2009) The acceptance of blogs: using a customer experiential value perspective. Internet Res 19(5):479–495

    Article  Google Scholar 

  27. Kim SK, Trimi S (2007) IT for KM in the management consulting industry. J Knowl Manage 11(3):145–155

    Article  Google Scholar 

  28. Koufaris M (2002) Applying the technology acceptance model and flow theory to online consumer behavior. Inf Syst Res 13(2):205–223

    Article  Google Scholar 

  29. Kristof AL (1996) Person-organization fit: an integrative review of its conceptualizations, measurement, and implications. Pers Psychol 49:1–49

    Article  Google Scholar 

  30. Kwon O, Choi K, Kim M (2007) User acceptance of context-aware services: self-efficacy, user innovativeness and perceived sensitivity on contextual pressure. Behav Inf Technol 26(6):483–498

    Article  Google Scholar 

  31. Mainela T (2007) Types and functions of social relationships in the organizing of an international joint venture. Ind Mark Manage 36(1):87–98

    Article  Google Scholar 

  32. McAfee A (2006) Mastering the three worlds of information technology. Harvard Bus Rev 84:132–144

    Google Scholar 

  33. Paul JA, Baker HM, Cochran JD (2012) Effect of online social networking on student academic performance. Comput Hum Behav 28(6):2117–2127

    Article  Google Scholar 

  34. Shin YY (2004) A Person-environment fit model for virtual organizations. J Manage 30(5):725–743

    Google Scholar 

  35. Smith CD, Mentzer JT (2010) Forecasting task-technology fit: the influence of individuals, systems and procedures on forecast performance. Int J Forecast 26:144–161

    Article  Google Scholar 

  36. Tsoukas, H. (2003), Do we really understand tacit knowledge?. In: Easterby-Smith, Lyles (eds), The blackwell handbook of organizational learning and knowledge management, Blackwell Publishing, Cambridge, pp. 411–427

    Google Scholar 

  37. Vezzetti E, Moos S, Kretli S (2011) A product lifecycle management methodology for supporting knowledge reuse in the consumer packaged goods domain. Comput Aided Des 43:1902–1911

    Article  Google Scholar 

  38. Wasko MM, Faraj S (2005) Why should i share? examining social capital and knowledge contribution in electronic networks of practices. MIS Q 29(1):35–57

    Google Scholar 

  39. Webster J, Ahuja JS (2006) Enhancing the design of web navigation systems: the influence of user disorientation on engagement and performance”. MIS Q 30:661–678

    Google Scholar 

  40. Werbel JD, Gilliland SW (1999) Person-environment fit in the selection process. Res Pers Hum Resour Manag 17:209–243

    Google Scholar 

  41. Wu CH, Kao SC, Shih LH (2010) Assessing the suitability of process and information technology in supporting tacit knowledge transfer. Behav Inf Technol 29(5):513–525

    Article  Google Scholar 

  42. Wu CH, Lee TZ, Kao SC, Lee MM (2010) Examining participation willingness of virtual community using structure equation model. J Stat Manag Syst 13(5):899–920

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Information Management, National University of Kaohsiung, 700 Kaohsiung University Rd, Nanzih District, Kaohsiung, 811, Taiwan, R.O.C

    Hsin-Yi Liao, Chien-Hsing Wu & Flora Peng

  2. Management Graduate Program, Universitas Darwan Ali, Indonesia Jl. Batu Berlian 10, Kalimantan Tengah, Sampit, Indonesia

    Didi Sundiman

Authors
  1. Hsin-Yi Liao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chien-Hsing Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Didi Sundiman
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Flora Peng
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Chien-Hsing Wu .

Editor information

Editors and Affiliations

  1. School of Computing, Staffordshire University, Stafford, United Kingdom

    Lorna Uden

  2. College of Management, National University of Kaohsiung, Kaohsiung, Taiwan, Taiwan

    Leon S.L. Wang

  3. and Control Faculty of Science, Universidad Salamanca Department of Computing Science, Salamanca, Spain

    Juan Manuel Corchado Rodríguez

  4. National University of Kaohsiung, Kaohsiung, Taiwan

    Hsin-Chang Yang

  5. Department of Information Management, National University of Kaohsiung, Kaohsiung, Taiwan, Taiwan

    I-Hsien Ting

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media Dordrecht

About this paper

Cite this paper

Liao, HY., Wu, CH., Sundiman, D., Peng, F. (2014). Social-Technology Fit: A Conceptual Model. In: Uden, L., Wang, L., Corchado Rodríguez, J., Yang, HC., Ting, IH. (eds) The 8th International Conference on Knowledge Management in Organizations. Springer Proceedings in Complexity. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7287-8_30

Download citation

  • DOI: https://doi.org/10.1007/978-94-007-7287-8_30

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-7286-1

  • Online ISBN: 978-94-007-7287-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics