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A PLS-SEM Approach in Evaluating a Virtual Teamwork Model in Online Higher Education: Why and How?

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Research and Innovation Forum 2020 (RIIFORUM 2020)

Abstract

The Statistical analysis tool is considered an essential tool for the research study in the social science domain. Of which partial least squares structural equation modeling (PLS-SEM) is a second-generation statistical modeling technique to be used for developing theories in exploratory research. That’s why PLS-SEM is considered to be used in the research field of education and ICT to validate a conceptual model of virtual teamwork in the context of online higher education. However, there should have a clear justification for choosing PLS-SEM for particular research. Also, a systematic procedure is needed to apply it to report the analysis and evaluation appropriately. Therefore, this paper mainly aims to present the reasons for choosing PLS-SEM statistical method for evaluating a virtual teamwork model in online higher education, and how to apply this method to evaluate or assess the validity of the model. Though the intent of this paper is to provide a comprehensive guideline about PLS-SEM for evaluating a virtual teamwork model in online higher education it can also be useful for the other research fields. So, the outcome of this paper will help researchers in any field for designing their research who considered applying PLS-SEM in their research study. Also, a new researcher will find it as a comprehensive overview of PLS-SEM, and why and how to apply PLS-SEM in research work.

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Acknowledgements

This work is part of a Doctoral Thesis funded by and conducted at Universitat Oberta de Catalunya (Barcelona, Spain).

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Correspondence to Akinul Islam Jony .

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Jony, A.I., Serradell-López, E. (2021). A PLS-SEM Approach in Evaluating a Virtual Teamwork Model in Online Higher Education: Why and How?. In: Visvizi, A., Lytras, M.D., Aljohani, N.R. (eds) Research and Innovation Forum 2020. RIIFORUM 2020. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-62066-0_17

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  • DOI: https://doi.org/10.1007/978-3-030-62066-0_17

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