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Ethnographic Decision Tree Modelling: An Exploration of Telecentre Usage in the Human Development Context

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Advances in Research Methods for Information Systems Research

Part of the book series: Integrated Series in Information Systems ((ISIS,volume 34))

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Abstract

This chapter presents an investigation of the decision-making process of community members who decide on using telecentres for entrepreneurial endeavours. A qualitative approach through interviews with telecentre staff and users is used to assess the barriers and enablers to economic activity through use of telecentres. An ethnographic decision tree model (EDTM) is developed to illustrate the process through which a community member makes a decision to use the telecentre to support economic livelihood. A predictive model for entrepreneurial behaviour is proposed based on the factors which influence the usage of telecentres for entrepreneurship—social ties, opportunity recognition and support from the telecentres.

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Acknowledgments

We would like to thank the telecentre coordinators, staff, users and community members for their participation in this research.

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Authors and Affiliations

  1. Department of Sociology, Psychology and Social Work, University of the West Indies, Kingston 7, Mona, Jamaica

    Arlene Bailey

  2. Ted Rogers School of Management, Ryerson University, 350 Victoria Street, Toronto, ON, M5B 2K3, Canada

    Ojelanki Ngwenyama

Authors
  1. Arlene Bailey
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  2. Ojelanki Ngwenyama
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Corresponding author

Correspondence to Arlene Bailey .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Virginia Commonwealth University, Richmond, Virginia, USA

    Kweku-Muata Osei-Bryson

  2. Department of Information Systems, Ryerson University, Toronto, Ontario, Canada

    Ojelanki Ngwenyama

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Bailey, A., Ngwenyama, O. (2014). Ethnographic Decision Tree Modelling: An Exploration of Telecentre Usage in the Human Development Context. In: Osei-Bryson, KM., Ngwenyama, O. (eds) Advances in Research Methods for Information Systems Research. Integrated Series in Information Systems, vol 34. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-9463-8_6

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