Sri Lankan SMEs’ Performance Through Cloud Computing Adoption: An SEM-ANN Analysis
This study identifies the determinants of cloud computing adoption and its effect on the performance of Sri Lankan small and medium-sized enterprises (SMEs). The Technology-Organization-Environment (TOE) framework, Technology Acceptance Model (TAM), and individual context were used to derive the stu...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10976699/ |
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| author | Samsudeen Sabraz Nawaz Samantha Thelijjagoda |
| author_facet | Samsudeen Sabraz Nawaz Samantha Thelijjagoda |
| author_sort | Samsudeen Sabraz Nawaz |
| collection | DOAJ |
| description | This study identifies the determinants of cloud computing adoption and its effect on the performance of Sri Lankan small and medium-sized enterprises (SMEs). The Technology-Organization-Environment (TOE) framework, Technology Acceptance Model (TAM), and individual context were used to derive the study variables. This quantitative cross-sectional study adopted items from previous validated studies. Google Form was employed to collect data, and 418 responses were received from Sri Lankan SMEs. Partial Least Squares Structural Equation Modelling (PLS-SEM) via SmartPLS 4 and Artificial Neural Network (ANN) analysis via IBM SPSS 29 were used for data analysis. Based on the results, all hypotheses are confirmed except for one, and SME performance is significantly affected by cloud computing adoption. This study adds to the existing empirical evidence on cloud computing adoption by introducing an all-inclusive model that integrates the TOE, TAM, and individual factors. This demonstrates the effectiveness of the PLS-SEM/ANN hybrid methodology in analysing the determinants of cloud computing adoption. The significance of top management as a factor is highlighted by providing training and education to employees. Managers can benefit from this result by improving cloud computing adoption among SMEs in Sri Lanka. This is the first study of its kind in Sri Lanka, integrating the TOE, TAM, and individual variables and using a hybrid methodology combining PLS-SEM and ANN. |
| format | Article |
| id | doaj-art-9347122deeda4d97b17ee0f41cd6e9d1 |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-9347122deeda4d97b17ee0f41cd6e9d12025-08-20T02:14:45ZengIEEEIEEE Access2169-35362025-01-0113754487546510.1109/ACCESS.2025.356433910976699Sri Lankan SMEs’ Performance Through Cloud Computing Adoption: An SEM-ANN AnalysisSamsudeen Sabraz Nawaz0https://orcid.org/0000-0003-3770-1401Samantha Thelijjagoda1https://orcid.org/0000-0002-0548-1603Department of MIT, South Eastern University of Sri Lanka, Oluvil, Sri LankaDepartment of Computer System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaThis study identifies the determinants of cloud computing adoption and its effect on the performance of Sri Lankan small and medium-sized enterprises (SMEs). The Technology-Organization-Environment (TOE) framework, Technology Acceptance Model (TAM), and individual context were used to derive the study variables. This quantitative cross-sectional study adopted items from previous validated studies. Google Form was employed to collect data, and 418 responses were received from Sri Lankan SMEs. Partial Least Squares Structural Equation Modelling (PLS-SEM) via SmartPLS 4 and Artificial Neural Network (ANN) analysis via IBM SPSS 29 were used for data analysis. Based on the results, all hypotheses are confirmed except for one, and SME performance is significantly affected by cloud computing adoption. This study adds to the existing empirical evidence on cloud computing adoption by introducing an all-inclusive model that integrates the TOE, TAM, and individual factors. This demonstrates the effectiveness of the PLS-SEM/ANN hybrid methodology in analysing the determinants of cloud computing adoption. The significance of top management as a factor is highlighted by providing training and education to employees. Managers can benefit from this result by improving cloud computing adoption among SMEs in Sri Lanka. This is the first study of its kind in Sri Lanka, integrating the TOE, TAM, and individual variables and using a hybrid methodology combining PLS-SEM and ANN.https://ieeexplore.ieee.org/document/10976699/Cloud computingneural networkPLS-SEMSMEsperformanceSri Lanka |
| spellingShingle | Samsudeen Sabraz Nawaz Samantha Thelijjagoda Sri Lankan SMEs’ Performance Through Cloud Computing Adoption: An SEM-ANN Analysis IEEE Access Cloud computing neural network PLS-SEM SMEs performance Sri Lanka |
| title | Sri Lankan SMEs’ Performance Through Cloud Computing Adoption: An SEM-ANN Analysis |
| title_full | Sri Lankan SMEs’ Performance Through Cloud Computing Adoption: An SEM-ANN Analysis |
| title_fullStr | Sri Lankan SMEs’ Performance Through Cloud Computing Adoption: An SEM-ANN Analysis |
| title_full_unstemmed | Sri Lankan SMEs’ Performance Through Cloud Computing Adoption: An SEM-ANN Analysis |
| title_short | Sri Lankan SMEs’ Performance Through Cloud Computing Adoption: An SEM-ANN Analysis |
| title_sort | sri lankan smes x2019 performance through cloud computing adoption an sem ann analysis |
| topic | Cloud computing neural network PLS-SEM SMEs performance Sri Lanka |
| url | https://ieeexplore.ieee.org/document/10976699/ |
| work_keys_str_mv | AT samsudeensabraznawaz srilankansmesx2019performancethroughcloudcomputingadoptionansemannanalysis AT samanthathelijjagoda srilankansmesx2019performancethroughcloudcomputingadoptionansemannanalysis |