Open Access
Issue
E3S Web Conf.
Volume 483, 2024
The 3rd International Seminar of Science and Technology (ISST 2023)
Article Number 03005
Number of page(s) 15
Section Trends in Mathematics and Computer Science for Sustainable Living
DOI https://doi.org/10.1051/e3sconf/202448303005
Published online 31 January 2024
  1. Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2020, Nov). “Is M-learning acceptance influenced by knowledge acquisition and knowledge sharing in developing countries”. Education and Information Technologies. Available: https://doi.org/10.1007/s10639-020-10378-y [Google Scholar]
  2. Al-Emran, M., & Teo, T. (2019, Des). “Do knowledge acquisition and knowledge sharing really affect e-learning adoption? An empirical study”. Education and Information Technologies. vol. 25, 1983–1998. Available: https://doi.org/10.1007/s10639-019-10062-w [Google Scholar]
  3. Ali, A., Warren, D., & Mathiassen, L. (2017). Cloud-based business services innovation: A risk management model. International Journal of Information Management. vol. 37, 639-649. Available: https://doi.org/10.1016/j.ijinfomgt.2017.05.008 [CrossRef] [Google Scholar]
  4. Alsabawy, A. Y., Cater-Steel, A., & Soar, J. (2016). “Determinants of perceived usefulness of e-learning systems. Computers in Human Behavior”. vol. 64, 843–858. Available: https://doi.org/10.1016/j.chb.2016.07.065 [CrossRef] [Google Scholar]
  5. Aminullah, E., Fizzanty, T., Nawawi, N., Suryanto, J., Pranata, N., Maulana, I., & Budiatri, A. P. (2022, Nov). “Interactive components of digital MSMEs ecosystem for inclusive digital economy in Indonesia”. Journal of the Knowledge Economy, 1–31. Available: https://doi.org/10.1007/s13132-022-01086-8 [Google Scholar]
  6. Arfi, W. B., Nasr, I. B., Khvatova, T., & Zaied, Y. B. (2021, Nov). “Understanding acceptance of e-Healthcare by IoT natives and IoT immigrants: An integrated model of UTAUT, perceived risk, and financial cost”. Technological Forecasting & Social Change. vol. 163. Available: https://doi.org/10.1016/j.techfore.2020.120437 [Google Scholar]
  7. Arpaci, I. (2017). “Antecedents and consequences of cloud computing adoption in education to achieve knowledge management”. Computers in Human Behavior. vol. 70, 382–390. Available: http://dx.doi.org/10.1016/j.chb.2017.01.024 [CrossRef] [Google Scholar]
  8. Arvanitis, S., Kyriakou, N., & Loukis, E. N. (2016, June). “Why do firms adopt cloud computing? A comparative analysis based on South and North Europe firm data”. Telematics and Informatics. Vol 34, 1322–1332. Available: http://dx.doi.org/10.1016/j.tele.2016.05.013 [Google Scholar]
  9. Bayo‐Moriones, A., Billón, M., & Lera‐López, F. (2014, Okto). “Perceived performance effects of ICT in manufacturing SMEs”. Industrial Management & Data Systems. vol. 113, issue 1, 117–135. Available: http://dx.doi.org/10.1108/02635571311289700 [Google Scholar]
  10. Bonfanti, A., Del Giudice, M., & Papa, A. (2015, Nov). “Italian craft firms between digital manufacturing, open innovation, and servitization”. Journal of the Knowledge Economy. vol. 9, 136–149. Available: https://doi.org/10.1007/s13132-015-0325-9 [Google Scholar]
  11. Cohen, J., (1992). “A Power Primer”. Psychological Bulletin. vol. 112, 155–159. [CrossRef] [PubMed] [Google Scholar]
  12. Garcıa-Sanchez, E., Garcıa-Morales, V. J., & Bolıvar-Ramos, M. T. (2015, July). “The influence of top management support for ICTs on organisational performance through knowledge acquisition, transfer, and utilization”. Review of Managerial Science. Available: https://doi.org/10.1007/s11846-015-0179-3 [Google Scholar]
  13. Gill, G., S., Wadhwa, A., & Jatain, A. “Cloud Computing: A New Age of Cloud Computing”, Fourth International Conference on Advanced Computing & Communication Technologies, Rohtak: IEEE, 2014, pp. 243–250. [Google Scholar]
  14. Ghozali, I., Model Persamaan Struktural : Konsep dan Aplikasi dengan Amos 22.0. 2014. [Google Scholar]
  15. Hair, J., F., Hult, G. T., Ringle, C. M., & Sartstedt, M. A Primer on A Primer on Structural Equation Modeling (PLS-SEM), Second Edition. SAGE Publications, Inc. 2017 [Google Scholar]
  16. Kanwal, F., & Rehman, M. (2017, July). “Factors affecting e-learning adoption in developing countries–empirical evidence from Pakistan’s higher education sector”. IEEE Access. vol. 5, 10968–10978. Available: https://doi.org/10.1109/ACCESS.2017.2714379 [CrossRef] [Google Scholar]
  17. Khayer, A., Talukder, M. S., Bao, Y., & Hossain, M. N. (2020). “Cloud computing adoption and its impact on SMEs’ performance for cloud supported operations: A dual-stage analytical approach”. Technology in Society. vol. 60. Available: https://doi.org/10.1016/j.techsoc.2019.101225 [CrossRef] [Google Scholar]
  18. Kumar, D., Samalia, H. V., & Verm, P. (2017). “Exploring suitability of cloud computing for small and mediumsized enterprises in India”. Journal of Small Business and Enterprise Development. vol. 275. Available: https://doi.org/10.1016/j.jclepro.2020.124063 [Google Scholar]
  19. Kuka. “Survei Kinerja UMKM di Masa Pandemi COVID-19”. Lembaga Ilmu Pengetahuan Indonesia., Indonesia, 2023. Available: http://lipi.go.id/berita/survei-kinerja-umkm-di-masa-pandemi-covid19/22071 [Google Scholar]
  20. Moeuf, A., Pellerin, R., Lamouri, S., Tamayo-Giraldo, S., & Barbaray, R. (2017, Sept). “The industrial management of SMEs in the era of Industry 4.0”. International journal of production research. vol.56. issue 3, 1118–1136. Available: http://dx.doi.org/10.1080/00207543.2017.1372647 [Google Scholar]
  21. Natarajan, T., Balasubramanian, S. A., & Kasilingam, D. L. (2017). Understanding the intention to use mobile shopping applications and its influence on price sensitivity. Journal of Retailing and Consumer Services. vol. 37, 8-22. Available: http://dx.doi.org/10.1016/j.jretconser.2017.02.010 [CrossRef] [Google Scholar]
  22. Pal, D., Funilkul, S., Charoenkitkarn, N., & Kanthamann, P. (2018, March). “Internetof-Things and Smart Homes for Elderly Healthcare: An End User Perspective”. IEEE Access. vol. 6. Available: https://doi.org/10.1109/ACCESS.2018.2808472 [Google Scholar]
  23. Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard business review. 92(11), 64–88. [Google Scholar]
  24. Raut, R. D., Priyadarshinee, P., Gardas, B. B., & Jha, M. K. (2018, May). “Analyzing the factors influencing cloud computing adoption using three T stage hybrid SEM-ANNISM (SEANIS) approach”. Technological Forecasting & Social Change. vol. 134, 98–123. Available: https://doi.org/10.1016/j.techfore.2018.05.020 [CrossRef] [Google Scholar]
  25. Raymond, L. (2005). “Operations management and advanced manufacturing technologies in SMEs: a contingency approach”. Journal of Manufacturing Technology Management. vol. 16. issue 8, 936–955. Available: http://dx.doi.org/10.1108/17410380510627898 [CrossRef] [Google Scholar]
  26. Santos, J. B., & Brito, L. A. (2012, May). “Toward a Subjective Measurement Model for Firm Performance”. Brazilian Administration Review. vol. 9. issue 6, 95–117. Available: http://www.anpad.org.br/bar [CrossRef] [Google Scholar]
  27. Satya, V. E. (2018, May). “Strategi Indonesia menghadapi industri 4.0”. Info Singkat. vol. X, 19–24. [Google Scholar]
  28. Schmidthuber, L., Maresch, D., & Ginner, M. (2018, June). “Disruptive technologies and abundance in the service sector-toward a refined technology acceptance model”. Technological Forecasting & Social Change. vol. 155. Available: https://doi.org/10.1016/j.techfore.2018.06.017 [Google Scholar]
  29. Schwab, K. (2017). The fourth industrial revolution. Currency. [Google Scholar]
  30. Shad, M. K., Lai, F.-W., Fatt, C. L., Klemes, J. J., & Bokhari, A. (2019). “Integrating sustainability reporting into enterprise risk management and its relationship with business performance: A conceptual framework”. Journal of Cleaner Production. Available: https://doi.org/10.1016/j.jclepro.2018.10.120 [Google Scholar]
  31. Sukendro, S., Habibi, A., Khaeruddin, K., Indrayana, B., Syahruddin, S., Makadada, F. A., & Hakim, H. (2020, Okto). Using an extended Technology Acceptance Model to understand students’ use of e-learning during Covid-19: Indonesian sport science education context. Heliyon. vol. 6. issue 11. Available: https://doi.org/10.1016/j.heliyon.2020.e05410 [CrossRef] [PubMed] [Google Scholar]
  32. Sultan, N. (2013). “Knowledge management in the age of cloud computing and Web 2.0: Experiencing the power of disruptive innovations”. International journal of information management. vol. 33. issue 1, 160–165. Available: http://dx.doi.org/10.1016/j.ijinfomgt.2012.08.006 [CrossRef] [Google Scholar]
  33. Undang-Undang Republik Indonesia Nomor 20 Tahun 2008 tentang Usaha Mikro, Kecil, dan Menengah. Lembaran Negara Republik Indonesia Tahun 2008 Nomor 93, Tambahan Lembaran Negara Republik Indonesia Nomor 4866. [Google Scholar]
  34. Zhao, Y., Ni, Q., & Zhou, R. (2018, Okto). What factors influence the mobile health service adoption? A meta-analysis T and the moderating role of age. International Journal of Information Management. vol. 43, 342–350. Available: http://dx.doi.org/10.1016/j.ijinfomgt.2017.08.006. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.