Open Access
Issue |
E3S Web Conf.
Volume 426, 2023
The 5th International Conference of Biospheric Harmony Advanced Research (ICOBAR 2023)
|
|
---|---|---|
Article Number | 01083 | |
Number of page(s) | 7 | |
Section | Integrated Sustainable Science and Technology Innovation | |
DOI | https://doi.org/10.1051/e3sconf/202342601083 | |
Published online | 15 September 2023 |
- H. M. Jeon, H. J. Sung, and H. Y. Kim, “Customers’ acceptance intention of self-service technology of restaurant industry: expanding UTAUT with perceived risk and innovativeness,” Serv. Bus., vol. 14, no. 4, pp. 533–551, (2020) [CrossRef] [Google Scholar]
- D. V. Latif, S. Arsalan, and H. I. Hussain, The Effect Of Gender In The Implementation Of Self Ordering Machine In A Fast Food Restaurant Turkish Journal of Computer and Mathematics Education “Turkish Journal of Computer and Mathematics Education Vol. 12 No. 11 (2021) [Google Scholar]
- H. Shin and B. Dai, “The efficacy of customer` s voluntary use of self-service technology (SST): a dual-study approach,” J. Strateg. Mark., vol. 00, no. 00, pp. 1–23, (2020) [Google Scholar]
- M. Shahid, M. Ul, and F. Group, The mediating role of customer satisfaction Impact of self- service technology (SST) service quality on customer loyalty and behavioral intention, (2018). [Google Scholar]
- T. Chen, W. Guo, X. Gao, and Z. Liang, AI- based self-service technology in public service delivery: User experience and influencing factors, Gov. Inf. Q., vol. 38, no. 4, p. 101520, (2021) [CrossRef] [Google Scholar]
- J. Lian and J. Lian, Why is self-service technology ( SST ) unpopular ? Extending the IS success model, (2018) [Google Scholar]
- K. Kim, K. Kim, D. Lee, and M. Kim, International Journal of Information Management Identification of critical quality dimensions for continuance intention in mHealth services : Case study of onecare service, Int. J. Inf. Manage., vol. 46, no. March 2018, pp. 187–197, (2019) [CrossRef] [Google Scholar]
- D. Amoroso, A Study of Satisfaction and Loyalty for Continuance Intention of Mobile Wallet in India,”vol. 15, no. 1, pp. 1–18, (2023) [Google Scholar]
- J. B. Jamil, CUSTOMER ACCEPTANCE TOWARDS SELF-SERVICE TECHNOLOGY AT MCDONALD ‘ S, no. December, (2019) [Google Scholar]
- S. A. Yaacob, A. Abdul Aziz, M. F. S. Bakhtiar, Z. Othman, and N. A. Ahmad, A Concept of Consumer Acceptance on the usage of Self- Ordering Kiosks at McDonald’s, Int. J. Acad. Res. Bus. Soc. Sci., vol. 11, no. 13, pp. 11–20, (2021) [Google Scholar]
- F. D. Davis, “Information,” vol. 13, no. 3, pp. 319–340, (2013) [Google Scholar]
- M. Yan, R. Filieri, E. Raguseo, and M. Gorton, Technological Forecasting & Social Change Mobile apps for healthy living: Factors influencing continuance intention for health apps, Technol. Forecast. Soc. Chang., vol. 166, no. June 2020, p. 120644, (2021) [CrossRef] [Google Scholar]
- G. Kumar, R.R., Israel, D., Malik, Explaining customer’s continuance intention to use mobile banking apps with an integrative perspective of ECT and Selfdetermination theory, Pac Asia J. Assoc. Inf. Syst. 10, (2018) [Google Scholar]
- C. Sullivan, Y.W., Koh, Social media enablers and inhibitors: understanding their relationships in a social networking site context, . Int. J. Inf. Manag. 49, 170–189, (2019) [CrossRef] [Google Scholar]
- D. H. Bassiouni, C. Hackley, and H. Meshreki, The integration of video games in family-life dynamics: An adapted technology acceptance model of family intention to consume video games, Inf. Technol. People, vol. 32, no. 6, pp. 1376–1396, (2019) [CrossRef] [Google Scholar]
- F. Aziz, A. Md Rami, F. Razali, and N. Mahadi, The influence of leadership style towards technology acceptance in organization, Int. J. Adv. Sci. Technol., vol. 29, no. 7 Special Issue, pp. 218–225, (2020) [Google Scholar]
- R. Filieri, U. Salento, and V. Ndou, Is TripAdvisor still relevant? The influence of review credibility, review usefulness, and ease of use on consumers ‘ continuance intention, (2020) [Google Scholar]
- N. Liu and Q. Pu, Factors influencing learners’ continuance intention toward one-to-one online learning, Interact. Learn. Environ., vol. 0, no. 0, pp. 1–22, (2020) [Google Scholar]
- S. et al. Mei Min, Jian Ai, Chun Kent, “FACTORS AFFECTING GENERATION Z’ S INTENTION TO USE SELF-SERVICE TECHNOLOGY ( SST ), vol. 12, no. 1, pp. 81–96, (2022) [Google Scholar]
- M. Olivia and N. K. Marchyta, The Influence of Perceived Ease of Use and Perceived Usefulness on E-Wallet Continuance Intention: Intervening Role of Customer Satisfaction, vol. 24, no. 1, (2022) [Google Scholar]
- N. A. M. Khalufi and K. A. M. Shah, Factors Influencing Consumer’s Intention to Use Self Service Technology in Retail., Glob. Bus. Manag. Res., vol. 14, no. 3, pp. 1044–1052, (2022) [Google Scholar]
- S. Talwar, A. Dhir, A. Khalil, G. Mohan, and A. K. M. N. Islam, Journal of Retailing and Consumer Services Point of adoption and beyond. Initial trust and mobile-payment continuation intention, J. Retail. Consum. Serv., vol. 55, p. 102086, (2020) [CrossRef] [Google Scholar]
- Y. Yanfi and P. D. Nusantara, UI / UX design prototype for mobile community-based course UI / UX design prototype for mobile community- based course, Procedia Comput. Sci., vol. 216, no. 2022, pp. 431–441, (2023) [CrossRef] [Google Scholar]
- O. A. Pradipta and I. M. Sukarsa, Pengembangan UI Aplikasi Mobile Konsultasi Karir Menggunakan Metode Lean UX, J. Ilm. Teknol. dan Komput., vol. 3, no. 1, pp. 1–11, (2022) [CrossRef] [Google Scholar]
- N. luh P. G. G. Saraswati, A. A. K. O. Sudana, and N. K. A. Wirdiani, Perancangan User Interface Berbasis Web Pada SIMRS Modul Sarana Dan Prasarana, J. Ilm. Teknol. dan Komput., vol. 1, no. 2, pp. 154–163, (2020) [Google Scholar]
- M. D. Alfaridzi and L. P. Yulianti, UI-UX design and analysis of local medicine and medication mobile-based apps using task- centered design process, 2020 Int. Conf. Inf. Technol. Syst. Innov. ICITSI 2020 - Proc., pp. 443–450, (2020) [Google Scholar]
- M. Haslin, the Future Is the Future Is., Cater., vol. 207, no. 4967, p. 24, (2017) [Google Scholar]
- and Le Phuong, N. N., Luan, L. T., Van Dong, V. and N. Nhat Khanh, Examining Customers’ Continuance Intentions Towards E-Wallet Usage: The Emergence of Mobile Payment Acceptance in Vietnam, J. Asian Financ. Econ. Bus., vol. 7, pp. 505–516, (2020) [CrossRef] [Google Scholar]
- S. Kasus et al., Analisis Pengaruh Perceived Ease of Use, Perceived Usefulness, dan Perceived Risk terhadap Keinginan Membeli Kembali melalui e-Trust dan s-Satisfaction, vol. 1, no. 1, (2020) [Google Scholar]
- M. Ashfaq, J. Yun, S. Yu, and S. M. C. Loureiro, I, Chatbot: Modeling the determinants of users’ satisfaction and continuance intention of AI-powered service agents, Telemat. Informatics, vol. 54, no. April, p. 101473, (2020) [CrossRef] [Google Scholar]
- T. Abu Salim, M. El Barachi, O. P. Onyia, and S. S. Mathew, Effects of smart city service channel- and user-characteristics on user satisfaction and continuance intention, Inf. Technol. People, vol. 34, no. 1, pp. 147–177, (2021) [CrossRef] [Google Scholar]
- M. Humbani and M. Wiese, An integrated framework for the adoption and continuance intention to use mobile payment apps, Int. J. Bank Mark., vol. 37, no. 2, pp. 646–664, (2019) [CrossRef] [Google Scholar]
- A. Fauzi, M. Ayub, and M. N. M. Khambari, “The effects of perceived usefulness, confirmation and satisfaction on continuance intention in using massive open online course ( MOOC ), vol. 11, no. 2, pp. 201–214, (2019) [Google Scholar]
- C. G. Wu and P. Y. Wu, Investigating user continuance intention toward library self- service technology: The case of self-issue and return systems in the public context, Libr. Hi Tech, vol. 37, no. 3, pp. 401–417, (2019) [CrossRef] [Google Scholar]
- U. Nugroho, Metodologi Penelitian Kuantitatif Pendidikan Jasmani. Grobogan: CV. SARNU UNTUNG, (2021) [Google Scholar]
- U. Majid, Research Fundamentals: Study Design, Population, and Sample Size,” vol. 2, no. 1, pp. 1–7, (2018) [Google Scholar]
- M. Hermaeny, Populasi dan Sampel, Pengantar Stat., vol. 1, p. 33, (2021) [Google Scholar]
- J. F. Hair, C. M. Ringle, and M. Sarstedt, PLS- SEM: Indeed, a silver bullet, J. Mark. Theory Pract., vol. 19, no. 2, pp. 139–152, (2011) [CrossRef] [Google Scholar]
- A. Kualitas, W. Ui, U. Di, M. Menggunakan, and P. Technology, Web Quality Analysis (ui / UX ) in the marketplace using a Technology Acceptance Model ( TAM ) approach, vol. 6, no. 2, pp. 611–622, (2022) [Google Scholar]
- K. Yang, J. G. Choi, and J. Chung, Extending the technology acceptance model (Tam) to explore customer’s behavioral intention to use self-service technologies (ssts) in chinese budget hotels, Glob. Bus. Financ. Rev., vol. 26, no. 1, pp. 79–94, (2021) [CrossRef] [Google Scholar]
- M. Li and S. Huang, Understanding customers’ continuance intentions toward in-lobby self- service technologies, Front. Psychol., vol. 10, no. FEB, pp. 1–12, (2019) [CrossRef] [Google Scholar]
- M. Bae, Understanding the effect of the discrepancy between sought and obtained gratification on social networking site users’ satisfaction and continuance intention, Comput. Human Behav., vol. 79, pp. 137–153, (2018) [CrossRef] [Google Scholar]
- N. Wilson, M. Alvita, and J. Wibisono, THE EFFECT OF PERCEIVED EASE OF USE AND PERCEIVED, vol. 5, no. 1, pp. 145–159, (2021) [Google Scholar]
- A. Daud, Impact of customer trust toward loyalty: the mediating role of perceived usefulness and satisfaction, vol. 13, no. 2, pp. 235–242, (2018) [Google Scholar]
- Y. J. Joo, H. So, and N. H. Kim, Department of Educational Technology SC, Comput. Educ., (2018) [Google Scholar]
- D. Jatimoyo, Research in Business & Social Science The effect of perceived ease of use on continuance intention through perceived usefulness and trust: A study on Klikindomaret service users in Malang City, vol. 10, no. 4, pp. 430–437, (2021) [Google Scholar]
- C. Li and Y. Fang, Telematics and Informatics Predicting continuance intention toward mobile branded apps through satisfaction and attachment, Telemat. Informatics, vol. 43, no. 151, p. 101248, (2020) [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.