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A network approach toward literature review

Author

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  • Lidwien Wijngaert

  • Harry Bouwman
  • Noshir Contractor

Abstract

This study introduces a method that uses a network approach towards literature review. To employ this approach, we use hypotheses proposed in scientific publications as building blocks. In network terms, a hypothesis is a directed tie between two concepts or nodes. The network emerges by aggregating the hypotheses from a set of articles in a specific domain. This study explains the method and its potential for reviewing literature in a particular domain. As a proof of concept, we provide a case study reviewing the research literature on the adoption of eGovernment services. Our analyses show that a network approach towards literature review provides novel insights into the current state of a research domain. Although there are limitations, this approach has the potential to help scholarly communities focus their research and formulate new research questions. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Lidwien Wijngaert & Harry Bouwman & Noshir Contractor, 2014. "A network approach toward literature review," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(2), pages 623-643, March.
    • Handle: RePEc:spr:qualqt:v:48:y:2014:i:2:p:623-643
    DOI: 10.1007/s11135-012-9791-3
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    References listed on IDEAS

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    1. Gero Schwenk & Guido Möser, 2009. "Intention and behavior: a Bayesian meta-analysis with focus on the Ajzen–Fishbein Model in the field of environmental behavior," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(5), pages 743-755, September.
    2. Stanley Wasserman & Philippa Pattison, 1996. "Logit models and logistic regressions for social networks: I. An introduction to Markov graphs andp," Psychometrika, Springer;The Psychometric Society, vol. 61(3), pages 401-425, September.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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    Cited by:

    1. Faulkner, Nicholas & Jorgensen, Bradley & Borg, Kim, 2017. "What encourages citizens to use e-government? A rapid review and comprehensive model," OSF Preprints e58bg, Center for Open Science.
    2. Galik, Christopher S., 2015. "Exploring the determinants of emerging bioenergy market participation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 107-116.
    3. Bouwman, Harry & de Reuver, Mark & Cavallini, Andrea & Lourens, Jeremy & Manocha, Swati & Vaessen, Maud & Dahlberg, T., 2015. "Mobile payment: a multi-perspective, multi-method research project," 26th European Regional ITS Conference, Madrid 2015 127128, International Telecommunications Society (ITS).
    4. repec:osf:osfxxx:e58bg_v1 is not listed on IDEAS

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