The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
Industry 4.0: A Solution towards Technology Challenges of Sustainable Business Performance
Open accessAbstract
Technology adoption is always a difficult task for Small and Medium-sized Enterprises (SMEs) due to lack of resources and other market issues. Many technology challenges adversely affect the sustainable business performance of SMEs. However, the incorporation of Industry 4.0 can overcome various technology issues. The goal of Industry 4.0 is to attain an advanced level of operational effectiveness and productivity, as well as a higher level of automatization. Thus, the objective of this study is to identify the role of Industry 4.0 to promote sustainable business performance in SMEs in Thailand. A survey has been prepared to collect the data from managers of SMEs and analyzed with the help of Partial Least Square. The questionnaire was used to collect the data and questionnaires were distributed by using simple random sampling. A total of 500 questionnaires were distributed amongst the managerial staff of SMEs located in Thailand. From these distributed questionnaires, 280 were returned and 270 valid responses were found. Data were analyzed by using Partial Least Square (PLS)-Structural Equation Modeling (SEM). Findings reveal that Industry 4.0 is a key to the growth of sustainable business performance among SMEs. Elements of Industry 4.0 such as big data, Internet of Things and smart factory have a positive role in promoting information technology (IT) implementation, which contributes to sustainable business performance. Moreover, organization structure and process strengthen the positive relationship between Industry 4.0 and IT implementation.
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Cites
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Cited by
Badghish, S., & Soomro, Y. A. (2024) · Sustainability · doi:10.3390/su16051864 · Cited by 261
Proposed managerial competencies for Industry 4.0 – Implications for social sustainability
Shet, S. V., & Pereira, V. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121080 · Cited by 205
Ferreira, J. J., Lopes, J. M., Gomes, S., & Rammal, H. G. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.136841 · Cited by 167
Data quality challenges in large-scale cyber-physical systems: A systematic review
Alwan, A. A., Ciupala, M. A., Brimicombe, A. J., Ghorashi, S. A., Baravalle, A., & Falcarin, P. (2022) · Information Systems · doi:10.1016/j.is.2021.101951 · Cited by 68
Dymora, P., & Paszkiewicz, A. (2020) · Applied Sciences · doi:10.3390/app10238521 · Cited by 18
Metadata
- Authors
- Haseeb, M., Hussain, H. I., Ślusarczyk, B., & Jermsittiparsert, K.
- Venue
- Social Sciences
- Publisher
- MDPI AG
- Published
- 2019-05-16
- Volume
- 8
- Issue
- 5
- Pages
- 154
- ISSN
- 2076-0760 (ISSN-L)
- OpenAlex
- W2945920492
- Cited by
- 459
- References
- 85
- FWCI
- 47.39
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.