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Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

Explore the Open Access research of Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Jump to: 2017 | 2016 | 2015
Number of items: 6.

2017

Alotaibi, Sultan Refa D and Roussinov, Dmitri (2017) User acceptance of m-government services in Saudi Arabia : an SEM approach. In: 17th European Conference on Digital Government, 2017-06-12 - 2017-06-13, Military Academy.

Alotaibi, Sultan Refa D and Roussinov, Dmitri (2017) Using focus group method to identifying citizen requirements to Saudi mobile government services. In: 19th International Conference on e-Business and e-Government, 2017-03-14 - 2017-03-15.

2016

Alotaibi, Sultan Refa D and Roussinov, Dmitri (2016) Developing and validating an instrument for measuring mobile government adoption in Saudi Arabia. In: 18th International Conference on e-Business and e-Government, 2016-03-17 - 2016-03-18.

Alotaibi, Sultan Refa D and Roussinov, Dmitri (2016) Using GPower software to determine the sample size from the pilot study. In: The 9th Saudi Students Conference, 2016-02-13, University of Birmingham.

2015

Alotaibi, Sultan Refa D and Roussinov, Dmitri (2015) Applying mixed research methods to mobile government studies in Saudi Arabia. In: The 8th Saudi Students Conference, 2015-01-31, Imperial College London.

Alotaibi, Sultan and Roussinov, Dmitri; (2015) A conceptual model for examining mobile government adoption in Saudi Arabia. In: Proceedings of the European Conference on e-Government, ECEG. Academic Conferences Limited, pp. 369-375. ISBN 9781910810194

This list was generated on Sat Dec 7 00:05:55 2024 GMT.