The Impact of PLS-SEM Training on Faculty Staff Intention to Use PLS Software in a public university in Ghana

Simon Gyasi Nimako; Francis Bondinuba Kwesi; Emmanuel Kofi Owusu

doi:doi:10.11648/j.ijber.20140302.11

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The Impact of PLS-SEM Training on Faculty Staff Intention to Use PLS Software in a public university in Ghana

Simon Gyasi Nimako, Francis Bondinuba Kwesi, Emmanuel Kofi Owusu

Published in International Journal of Business and Economics Research (Volume 3, Issue 2)

Received: 10 March 2014 Accepted: 8 April 2014 Published: 10 April 2014

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Abstract

The paper empirically assesses the impact of Partial Least Squares Structural Equation Modelling (PLS-SEM) training on academic staff’s intentions to adopt PLS-SEM software in their future research work. Our original contribution to knowledge is the application of the Technology Adoption Model (TAM) to study faculty intention to adopt SEM data analysis software in an under-researched context of developing country Higher Institution of Learning (HIL). Building upon the TAM, we developed a research model that conceptualises PLS-SEM training as an external variable that affects the technology adoption process. The research model was tested using data from 34 faculty members who fully participated in a PLS-SEM training workshop at the College of Technology Education, Kumasi (COLTEK) of University of Education, Winneba. The data was analysed using SmartPLS 2.0 for PLS-SEM analysis. The findings indicate that PLS-SEM training has a positive impact on faculty members’ intentions to use the PLS-SEM software in future research. Moreover, the findings confirm the applicability and efficacy of the TAM framework that it can predict about 86% of faculty members’ intention to adopt data analysis software. This paper is one of the initial studies into the adoption of SEM data analysis software by the research community in developing countries HIL context. Despite its limitations, the paper offers important theoretical and managerial contributions. It contributes to the literature in the area of adoption of SEM data analysis software in the information systems literature.

Published in	International Journal of Business and Economics Research (Volume 3, Issue 2)
DOI	10.11648/j.ijber.20140302.11
Page(s)	42-49
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Developing Countries, Partial Least Squares, Data Analysis Training, Structural Equation Modelling, Technology Adoption

References

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APA Style

Simon Gyasi Nimako, Francis Bondinuba Kwesi, Emmanuel Kofi Owusu. (2014). The Impact of PLS-SEM Training on Faculty Staff Intention to Use PLS Software in a public university in Ghana. International Journal of Business and Economics Research, 3(2), 42-49. https://doi.org/10.11648/j.ijber.20140302.11

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ACS Style

Simon Gyasi Nimako; Francis Bondinuba Kwesi; Emmanuel Kofi Owusu. The Impact of PLS-SEM Training on Faculty Staff Intention to Use PLS Software in a public university in Ghana. Int. J. Bus. Econ. Res. 2014, 3(2), 42-49. doi: 10.11648/j.ijber.20140302.11

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AMA Style

Simon Gyasi Nimako, Francis Bondinuba Kwesi, Emmanuel Kofi Owusu. The Impact of PLS-SEM Training on Faculty Staff Intention to Use PLS Software in a public university in Ghana. Int J Bus Econ Res. 2014;3(2):42-49. doi: 10.11648/j.ijber.20140302.11

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@article{10.11648/j.ijber.20140302.11,
  author = {Simon Gyasi Nimako and Francis Bondinuba Kwesi and Emmanuel Kofi Owusu},
  title = {The Impact of PLS-SEM Training on Faculty Staff Intention to Use PLS Software in a public university in Ghana},
  journal = {International Journal of Business and Economics Research},
  volume = {3},
  number = {2},
  pages = {42-49},
  doi = {10.11648/j.ijber.20140302.11},
  url = {https://doi.org/10.11648/j.ijber.20140302.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijber.20140302.11},
  abstract = {The paper empirically assesses the impact of Partial Least Squares Structural Equation Modelling (PLS-SEM) training on academic staff’s intentions to adopt PLS-SEM software in their future research work. Our original contribution to knowledge is the application of the Technology Adoption Model (TAM) to study faculty intention to adopt SEM data analysis software in an under-researched context of developing country Higher Institution of Learning (HIL). Building upon the TAM, we developed a research model that conceptualises PLS-SEM training as an external variable that affects the technology adoption process. The research model was tested using data from 34 faculty members who fully participated in a PLS-SEM training workshop at the College of Technology Education, Kumasi (COLTEK) of University of Education, Winneba. The data was analysed using SmartPLS 2.0 for PLS-SEM analysis. The findings indicate that PLS-SEM training has a positive impact on faculty members’ intentions to use the PLS-SEM software in future research. Moreover, the findings confirm the applicability and efficacy of the TAM framework that it can predict about 86% of faculty members’ intention to adopt data analysis software. This paper is one of the initial studies into the adoption of SEM data analysis software by the research community in developing countries HIL context. Despite its limitations, the paper offers important theoretical and managerial contributions. It contributes to the literature in the area of adoption of SEM data analysis software in the information systems literature.},
 year = {2014}
}

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TY  - JOUR
T1  - The Impact of PLS-SEM Training on Faculty Staff Intention to Use PLS Software in a public university in Ghana
AU  - Simon Gyasi Nimako
AU  - Francis Bondinuba Kwesi
AU  - Emmanuel Kofi Owusu
Y1  - 2014/04/10
PY  - 2014
N1  - https://doi.org/10.11648/j.ijber.20140302.11
DO  - 10.11648/j.ijber.20140302.11
T2  - International Journal of Business and Economics Research
JF  - International Journal of Business and Economics Research
JO  - International Journal of Business and Economics Research
SP  - 42
EP  - 49
PB  - Science Publishing Group
SN  - 2328-756X
UR  - https://doi.org/10.11648/j.ijber.20140302.11
AB  - The paper empirically assesses the impact of Partial Least Squares Structural Equation Modelling (PLS-SEM) training on academic staff’s intentions to adopt PLS-SEM software in their future research work. Our original contribution to knowledge is the application of the Technology Adoption Model (TAM) to study faculty intention to adopt SEM data analysis software in an under-researched context of developing country Higher Institution of Learning (HIL). Building upon the TAM, we developed a research model that conceptualises PLS-SEM training as an external variable that affects the technology adoption process. The research model was tested using data from 34 faculty members who fully participated in a PLS-SEM training workshop at the College of Technology Education, Kumasi (COLTEK) of University of Education, Winneba. The data was analysed using SmartPLS 2.0 for PLS-SEM analysis. The findings indicate that PLS-SEM training has a positive impact on faculty members’ intentions to use the PLS-SEM software in future research. Moreover, the findings confirm the applicability and efficacy of the TAM framework that it can predict about 86% of faculty members’ intention to adopt data analysis software. This paper is one of the initial studies into the adoption of SEM data analysis software by the research community in developing countries HIL context. Despite its limitations, the paper offers important theoretical and managerial contributions. It contributes to the literature in the area of adoption of SEM data analysis software in the information systems literature.
VL  - 3
IS  - 2
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Author Information

Simon Gyasi Nimako

Department of Management Studies Education, University of Education, Winneba, Box 1277, Kumasi Campus, Ghana, Accra Institute of Technology, Accra, Ghana
Francis Bondinuba Kwesi

Kumasi Polytechnic, P.O Box 854, Kumasi-Ghana, School of the Built Environment Institute for Housing and Urban Research (IHURER), Heriot-Watt University, Edinburgh, UK
Emmanuel Kofi Owusu

Department of Accounting Studies Education, University of Education, Winneba, Box 1277, Kumasi Campus, Ghana

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APA Style

Simon Gyasi Nimako, Francis Bondinuba Kwesi, Emmanuel Kofi Owusu. (2014). The Impact of PLS-SEM Training on Faculty Staff Intention to Use PLS Software in a public university in Ghana. International Journal of Business and Economics Research, 3(2), 42-49. https://doi.org/10.11648/j.ijber.20140302.11

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ACS Style

Simon Gyasi Nimako; Francis Bondinuba Kwesi; Emmanuel Kofi Owusu. The Impact of PLS-SEM Training on Faculty Staff Intention to Use PLS Software in a public university in Ghana. Int. J. Bus. Econ. Res. 2014, 3(2), 42-49. doi: 10.11648/j.ijber.20140302.11

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AMA Style

Simon Gyasi Nimako, Francis Bondinuba Kwesi, Emmanuel Kofi Owusu. The Impact of PLS-SEM Training on Faculty Staff Intention to Use PLS Software in a public university in Ghana. Int J Bus Econ Res. 2014;3(2):42-49. doi: 10.11648/j.ijber.20140302.11

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@article{10.11648/j.ijber.20140302.11,
  author = {Simon Gyasi Nimako and Francis Bondinuba Kwesi and Emmanuel Kofi Owusu},
  title = {The Impact of PLS-SEM Training on Faculty Staff Intention to Use PLS Software in a public university in Ghana},
  journal = {International Journal of Business and Economics Research},
  volume = {3},
  number = {2},
  pages = {42-49},
  doi = {10.11648/j.ijber.20140302.11},
  url = {https://doi.org/10.11648/j.ijber.20140302.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijber.20140302.11},
  abstract = {The paper empirically assesses the impact of Partial Least Squares Structural Equation Modelling (PLS-SEM) training on academic staff’s intentions to adopt PLS-SEM software in their future research work. Our original contribution to knowledge is the application of the Technology Adoption Model (TAM) to study faculty intention to adopt SEM data analysis software in an under-researched context of developing country Higher Institution of Learning (HIL). Building upon the TAM, we developed a research model that conceptualises PLS-SEM training as an external variable that affects the technology adoption process. The research model was tested using data from 34 faculty members who fully participated in a PLS-SEM training workshop at the College of Technology Education, Kumasi (COLTEK) of University of Education, Winneba. The data was analysed using SmartPLS 2.0 for PLS-SEM analysis. The findings indicate that PLS-SEM training has a positive impact on faculty members’ intentions to use the PLS-SEM software in future research. Moreover, the findings confirm the applicability and efficacy of the TAM framework that it can predict about 86% of faculty members’ intention to adopt data analysis software. This paper is one of the initial studies into the adoption of SEM data analysis software by the research community in developing countries HIL context. Despite its limitations, the paper offers important theoretical and managerial contributions. It contributes to the literature in the area of adoption of SEM data analysis software in the information systems literature.},
 year = {2014}
}

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TY  - JOUR
T1  - The Impact of PLS-SEM Training on Faculty Staff Intention to Use PLS Software in a public university in Ghana
AU  - Simon Gyasi Nimako
AU  - Francis Bondinuba Kwesi
AU  - Emmanuel Kofi Owusu
Y1  - 2014/04/10
PY  - 2014
N1  - https://doi.org/10.11648/j.ijber.20140302.11
DO  - 10.11648/j.ijber.20140302.11
T2  - International Journal of Business and Economics Research
JF  - International Journal of Business and Economics Research
JO  - International Journal of Business and Economics Research
SP  - 42
EP  - 49
PB  - Science Publishing Group
SN  - 2328-756X
UR  - https://doi.org/10.11648/j.ijber.20140302.11
AB  - The paper empirically assesses the impact of Partial Least Squares Structural Equation Modelling (PLS-SEM) training on academic staff’s intentions to adopt PLS-SEM software in their future research work. Our original contribution to knowledge is the application of the Technology Adoption Model (TAM) to study faculty intention to adopt SEM data analysis software in an under-researched context of developing country Higher Institution of Learning (HIL). Building upon the TAM, we developed a research model that conceptualises PLS-SEM training as an external variable that affects the technology adoption process. The research model was tested using data from 34 faculty members who fully participated in a PLS-SEM training workshop at the College of Technology Education, Kumasi (COLTEK) of University of Education, Winneba. The data was analysed using SmartPLS 2.0 for PLS-SEM analysis. The findings indicate that PLS-SEM training has a positive impact on faculty members’ intentions to use the PLS-SEM software in future research. Moreover, the findings confirm the applicability and efficacy of the TAM framework that it can predict about 86% of faculty members’ intention to adopt data analysis software. This paper is one of the initial studies into the adoption of SEM data analysis software by the research community in developing countries HIL context. Despite its limitations, the paper offers important theoretical and managerial contributions. It contributes to the literature in the area of adoption of SEM data analysis software in the information systems literature.
VL  - 3
IS  - 2
ER  -

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