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International Conference on Engineering, Applied Sciences and System Modeling

ICEASSM 2017: Data-Driven Modeling for Sustainable Engineering pp 411–418Cite as

Use and Impact of Information Technology in the African Construction Industry: A Preliminary Survey from Benin

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 72))

Abstract

This paper presents the results of a preliminary survey in Benin, a West African country. The aim of the study is to estimate the use and the impact of IT in the Benin construction industry. To ensure that the results can be compared to other related surveys, this study used the “IT Barometer” questionnaire. The results show that while office and design software are widely used, Internet-based solutions for the construction industry seem less well known. In addition, very few firms have an IT strategy and the proportion of management activities with IT support remains low. The respondents seem very optimistic regarding the role of IT in their organizations but most of them think that the constant need to update and the cost of investment in IT are the main barriers to their implementation.

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Notes

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    www.waberconference.com.

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Author information

Authors and Affiliations

  1. École de Technologie Supérieure, 1100, rue Notre-Dame Ouest, Montréal, Canada

    Conrad Boton

Authors
  1. Conrad Boton
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Corresponding author

Correspondence to Conrad Boton .

Editor information

Editors and Affiliations

  1. LCOMS/ENIM, University of Lorraine, Metz, France

    Kondo H. Adjallah

  2. Institut Charles Delaunay, University of Technology of Troyes, Troyes, France

    Babiga Birregah

  3. School of the Built Environment, Oxford Brookes University, Oxford, Oxfordshire, UK

    Henry Fonbeyin Abanda

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Boton, C. (2020). Use and Impact of Information Technology in the African Construction Industry: A Preliminary Survey from Benin. In: Adjallah, K., Birregah, B., Abanda, H. (eds) Data-Driven Modeling for Sustainable Engineering. ICEASSM 2017. Lecture Notes in Networks and Systems, vol 72. Springer, Cham. https://doi.org/10.1007/978-3-030-13697-0_31

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