Open Access
E3S Web of Conf.
Volume 388, 2023
The 4th International Conference of Biospheric Harmony Advanced Research (ICOBAR 2022)
Article Number 02005
Number of page(s) 6
Section Big Data, Green Computing, and Information System
Published online 17 May 2023
  1. R. Ekasari, D. Agustya, N. Yucha, D. Arif, D. Retnowati, A. A. Mandasari, E. Ratnasari, S. N. H. Yusmiati, L. P. Lestari, Effect of price, product quality, and service quality on customer satisfaction on online product purchases, J. Physics: Conference Series 1175, 1, 012287 (2019) [CrossRef] [Google Scholar]
  2. F. D. Davis, Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, pp. 319–340 (1989) [Google Scholar]
  3. N. Fatmawati, E. Soliha, Kualitas produk, citra merek dan persepsi harga terhadap proses keputusan pembelian konsumen sepeda motor matic “Honda.”, J. Manajemen Teori dan Terapan 10, 1, pp. 1–20 (2017) [Google Scholar]
  4. F. Tjiptono, Pemasaran jasa (2019) [Google Scholar]
  5. N. I. Febriana, Analisis kualitas pelayanan bank terhadap kepuasan nasabah pada bank muamalat Indonesia kantor cabang pembantu Tulungagung, IAIN Tulungagung Research Collections 3, 1, pp. 145–168 (2016) [Google Scholar]
  6. L. W. Oliver, Research integration for psychologists: an overview of approaches 1, J. Applied Social Psychology 17, 10, pp. 860–874 (1987) [CrossRef] [Google Scholar]
  7. J. F. Hair, W. C. Black, B. J. Babin, R. E. Anderson, Multivariate data analysis cengage learning (Hampshire, United Kingdom, 2019) [Google Scholar]
  8. J. P. Alegre Perez, Y. T. Prasetyo, M. I. Norona, M. N. Young, S. Fadil Persada, R. A. C. Robielos, R. Nadlifatin, Determinant factors for consumers' intention in choosing a shopping center: an extended theory of planned behavior approach, 2022 The 3rd International Conference on Industrial Engineering and Industrial Management, pp. 108–114 (2022) [Google Scholar]
  9. D. B. M. Bekti, Y. T. Prasetyo, A. A. N. P. Redi, A. S. Budiman, I. M. P. L. Mandala, A. R. Putra, S. F. Persada, R. Nadlifatin, M. N. Young, Determining factors affecting customer intention to use rooftop solar photovoltaics in Indonesia, Sustainability 14, 1, pp. 280 (2021) [CrossRef] [Google Scholar]
  10. M. M. Cahigas, Y. T. Prasetyo, S. F. Persada, A. K. S. Ong, R. Nadlifatin, Understanding the perceived behavior of public utility bus passengers during the era of COVID-19 pandemic in the Philippines: application of social exchange theory and theory of planned behavior, Research in Transportation Business & Management, 100840 (2022) [Google Scholar]
  11. T. Chuenyindee, A. K. S. Ong, Y. T. Prasetyo, S. F. Persada, R. Nadlifatin, T. Sittiwatethanasiri, Factors affecting the perceived usability of the COVID-19 contact-tracing application "Thai chana" during the early COVID-19 omicron period, International J. Environmental Research and Public Health 19, 7, pp. 4383 (2022) [CrossRef] [Google Scholar]
  12. T. Chuenyindee, R. B. Torres, Y. T. Prasetyo, R. Nadlifatin, S. F. Persada, Determining factors affecting perceived quality among shoe manufacturing workers towards shoe quality: a structural equation modeling approach, J. Open Innovation: Technology, Market, and Complexity 8, 2, pp. 82 (2022) [CrossRef] [Google Scholar]
  13. J. D. German, A. A. N. P. Redi, Y. T. Prasetyo, S. F. Persada, A. K. S. Ong, M. N. Young, R. Nadlifatin, Choosing a package carrier during COVID-19 pandemic: an integration of pro-environmental planned behavior (PEPB) theory and service quality (SERVQUAL), J. Cleaner Production 346, 131123 (2022) [CrossRef] [Google Scholar]
  14. M. Gumasing, J. Janice, Y. T. Prasetyo, S. F. Persada, A. K. S. Ong, M. N. Young, R. Nadlifatin, A. A. N. P. Redi, Using online grocery applications during the COVID-19 pandemic: their relationship with open innovation, J. Open Innovation: Technology, Market, and Complexity 8, 2, pp. 93 (2022) [CrossRef] [Google Scholar]
  15. M. Gumasing, J. Janice, Y. T. Prasetyo, A. K. S. Ong, S. F. Persada, R. Nadlifatin, Analyzing the service quality of e-trike operations: a new sustainable transportation infrastructure in Metro Manila, Philippines, Infrastructures 7, 5, pp. 69 (2022) [CrossRef] [Google Scholar]
  16. Y. B. Kurata, Y. T. Prasetyo, A. K. S. Ong, R. Nadlifatin, S. F. Persada, T. Chuenyindee, M. M. L. Cahigas, Determining factors affecting preparedness beliefs among Filipinos on taal volcano eruption in Luzon, Philippines, International J. Disaster Risk Reduction, 103035 (2022) [Google Scholar]
  17. R. Nadlifatin, S. F. Persada, J. H. Munthe, B. Ardiansyahmiraja, A. A. N. P. Redi, Y. T. Prasetyo, P. F. Belgiawan, Understanding factors influencing traveler's adoption of travel influencer advertising: an information adoption model approach, Business: Theory and Practice 23, 1, pp. 131–140 (2022) [CrossRef] [Google Scholar]
  18. A. A. Santosa, Y. T. Prasetyo, F. Alamsjah, A. A. N. P. Redi, I. Gunawan, A. R. Putra, S. F. Persada, R. Nadlifatin, How the COVID-19 pandemic affected the sustainable adoption of digital signature: an integrated factors analysis model, Sustainability 14, 7, pp. 4281 (2022) [CrossRef] [Google Scholar]
  19. S. C. Lin, S. F. Persada, R. Nadlifatin, A study of student behavior in accepting the blackboard learning system: a technology acceptance model (TAM) approach, Proceedings of the 2014 IEEE 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 457–462 (2014) [Google Scholar]
  20. R. Nadlifatin, B. Miraja, S. Persada, P. Belgiawan, A. A. N. Redi, S. C. Lin, The measurement of university students' intention to use blended learning system through technology acceptance model (TAM) and theory of planned behavior (TPB) at developed and developing regions: lessons learned from Taiwan and Indonesia, International J. Emerging Technologies in Learning (IJET) 15, 9, pp. 219–230 (2020) [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.