The effect of usability on the intention to use the e-learning system in a sustainable way: A case study at Universitas Indonesia
Authors: 
Arief Ramadhan, Achmad Nizar Hidayanto, Ghina Almira Salsabila, Intan Wulandari, Jessica Alexia Jaury, Nadia Nabila AnjaniAuthors Info & Claims
Arief Ramadhan, Achmad Nizar Hidayanto, Ghina Almira Salsabila, Intan Wulandari, Jessica Alexia Jaury, Nadia Nabila AnjaniAuthors Info & ClaimsPages 1489 - 1522
Abstract
E-Learning has been massively used in higher education, one of which is in Universitas Indonesia. The e-learning system in Universitas Indonesia is called Student Centered E-Learning Environment Universitas Indonesia (SCELE UI). This research determines the effect of usability on the intention to use SCELE UI in a sustainable way. The Expectation Confirmation Model (ECM) is used as a basis of the research model. Perceived Usability, Learnability, Presentation, Navigation and Error variables are added to the model. The Partial Least Square is used to analyze and test the model. Of the 12 proposed hypotheses, 10 hypotheses were accepted and 2 hypotheses were rejected. This research gives theoretical and practical contributions. On the theoretical side, this research successfully proposes and examines the integration of usability and ECM in the context of sustain e-learning usage intention. This research reveals the indirect effect of Perceived Usability on continued usage intention of the e-learning system. On the practical side, this research also provides insights for developers and universities that can help them to effectively foster the improvement of their system that can ensure sustained usage by their students.
References
[1]
Abran A, Khelifi A, Suryn W, and Seffah A Usability meanings and interpretations in ISO standards Software Quality Journal 2003 11 325-338
[2]
Ahmadi, N., Romoser, M. R., Guarnieri, L. M., Kry, T. G., & Porter-Fyke, E. I. (2019). Application of eye tracking technology in naturalistic usability assessment of an academic library website. In T. Z. Ahram and C. Falcão (Eds.): AHFE 2018, AISC 794 (pp. 729–740). Switzerland: Springer Nature.
[3]
Akrimi Y and Khemakhem PR An analysis of perceived usability, perceived interactivity and website personality and their effects on consumer satisfaction International Journal of Management Excellence 2014 2 3 227-236
[4]
Akugizibwe E and Ahn JY Perspectives for effective integration of e-learning tools in university mathematics instruction for developing countries Education and Information Technologies 2020 25 889-903
[5]
Al-Fraihat D, Joy M, Masa'deh R, and Sinclair J Evaluating e-learning systems success: An empirical study Computers in Human Behavior 2020 102 67-86
[6]
Alotaibi, K. J. (2017). Gathering of usability requirements by Saudi e-learning software developers. Proceedings of the 8th International Conference on Information Technology (ICIT) (pp. 255–261).
[7]
Alshammari M, Anane R, Hendley RJ, et al. Abascal J et al. Design and usability evaluation of adaptive e-learning systems based on learner knowledge and learning style INTERACT 2015, Part II, LNCS 9297 2015 Switzerland 584-591
[8]
Alshehri A, Rutter M, and Smith S Assessing the relative importance of an e-learning system’s usability design characteristics based on students' preferences European Journal of Educational Research 2019 8 3 839-855
[9]
Alves, R., & Nunes, N. J. (2016). Ceiling and threshold of PaaS tools: The role of learnability in tool adoption. In C. Bogdan et al. (Eds.): HCSE 2016/HESSD 2016, LNCS 9856 (pp. 335–347). Switzerland: Springer.
[10]
Ambalov IA A meta-analysis of IT continuance: An evaluation of the expectation-confirmation model Telematics and Informatics 2018 35 1561-1571
[11]
Ammar LS, Trabelsi A, and Mahfoudhi A A model-driven approach for usability engineering of interactive systems Software Quality Journal 2016 24 301-335
[12]
Ardito C, Costabile MF, De Marsico M, Lanzilotti R, Levialdi S, Roselli T, and Rossano V An approach to usability evaluation of e-learning applications Universal Access in the Information Society 2006 4 270-283
[13]
Arning, K., Himmel, S., & Ziefle, M. (2016). You can(’t) teach an old dog new tricks: Analyzing the learnability of manufacturing software systems in older users. In J. Zhou and G. Salvendy (Eds.): ITAP 2016, PartII, LNCS 9755 (pp. 277–288). Switzerland: Springer.
[14]
Belanche D, Casalo´ L, and Guinalı M Website usability, consumer satisfaction and the intention to use a website: The moderating effect of perceived risk Journal of Retailing and Consumer Services 2012 19 124-132
[15]
Bhattacherjee A Understanding information systems continuance: An expectation-confirmation model Management Information Systems Quarterly 2001 25 3 351-370
[16]
Bolen, M.C. (2020). Exploring the determinants of users’ continuance intention in smartwatches. Technology in Society, 60.
[17]
Bourges-Waldegg P and Scrivener A Meaning: The central issue in cross-cultural HCI design Interacting with Computers 1998 9 3 287-309
[18]
Cabero-Almenara, J., Marín-Díaz, V., & Sampedro-Requena, B. E. (2016). Meta-analysis of research in e-learning published in Spanish journals. International Journal of Educational Technology in Higher Education, 13(25).
[19]
Casalo L, Flavian C, and Guinalíu M The role of perceived usability, reputation, satisfaction and consumer familiarity on the website loyalty formationprocess Computers in Human Behavior 2008 24 325-345
[20]
Castañeda, L., & Selwyn, N. (2018). More than tools? Making sense of the ongoing digitizations of higher education. International Journal of Educational Technology in Higher Education, 15(22).
[21]
Chen CP, Lai HM, and Ho CY Why do teachers continue to use teaching blogs? The roles of perceived voluntariness and habit Computers & Education 2015 82 236-249
[22]
Chen SC, Yen DC, and Peng SC Assessing the impact of determinants in e-magazines acceptance: An empirical study Computer Standards & Interfaces 2018 57 49-58
[23]
Chen Y, Yang L, Zhang M, and Yang J Central or peripheral? Cognition elaboration cues’ effect on users’ continuance intention of mobile health applications in the developing markets International Journal of Medical Informatics 2018 116 33-45
[24]
Cheng M and Yuen AHK Cultural divides in acceptance and continuance of learning management system use: A longitudinal study of teenagers Educational Technology Research and Development 2019 67 1613-1637
[25]
Cheng, Y. M. (2021). Can tasks and learning be balanced? A dual-pathway model of cloud-based e-learning continuance intention and performance outcomes. Kybernetes.
[26]
Chin, W. W. (1998). The partial least squares approach for structural equation modeling. In G. A. Macoulides (Ed.), Modern methods for business research. Mahwah (pp. 295–336). NJ: Lawrence Erlbaum Associates
[27]
Choi BCF and Lee NT Nah FFH and Tan CH A study on mobile fitness application usage HCIB 2015, LNCS 9191 2015 Switzerland 446-457
[28]
Chow, W.C., & Shi, S. (2014). Investigating students’ satisfaction and continuance intention toward e-learning: An extension of the expectation–confirmation model. In Procedia - Social and Behavioral Sciences, 141, (pp. 1145 – 1149).
[29]
Daghan G and Akkoyunlu B Modeling the continuance usage intention of online learning environments Computers in Human Behavior 2016 60 198-211
[30]
Darmawan, A. K., Siahaan, D. O., Susanto, T. D., Hoiriyah, Umam, B. A., & Bakir, B. (2020). Understanding Indonesian citizen's continuance itention to use mobile-based smart city: A perspective of modified expectation confirmation model (M-ECM). In Proceedings of the 7th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE).
[31]
Davis FD Perceived usefulness, perceived ease of use, and user acceptance of information technology MIS Quarterly 1989 13 3 319
[32]
DeLone WH and McLean ER The DeLone and McLean model of information systems success : A ten-year update Journal of Management Information Systems 2003 19 4 9-30
[33]
Demangeot C and Broderick AJ Exploring the experiential intensity of online shopping environments Qualitative Market Research: An International Journal 2006 9 4 325-351
[34]
Digión LB, Sosa M, et al. Cipolla-Ficarra FV et al. Communicability and usability for the interface in e-learning ADNTIIC 2011, LNCS 7547 2012 Berlin 165-172
[35]
Eltahir ME, Al-Qatawneh S, Al-Ramahi N, and Alsalhi N The perspective of students and faculty members on the efficiency and usability of e-learning courses at Ajman university: A case study Journal of Technology and Science Education 2019 9 3 388-403
[36]
Eze, S. C., Chinedu-Eze, V. C., & Bello, A. O. (2018). The utilisation of e-learning facilities in the educational delivery system of Nigeria: a study of M-University. International Journal of Educational Technology in Higher Education, 15(34).
[37]
Fang X and Holsapple CW A model-driven approach for usability engineering of interactive systems Information Systems Frontiers 2011 13 453-469
[38]
Fernandez, A., Abrahão, S., & Insfran, E. (2011). A web usability evaluation process for model-driven web development. In H. Mouratidis and C. Rolland (Eds.): CAiSE 2011, LNCS 6741 (pp. 108–122). Berlin: Springer-Verlag.
[39]
Findlater, L., & Mcgrenere, J. (2008). Impact of screen size on performance, awareness, and user satisfaction with adaptive graphical user interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1247–1256).
[40]
Findlater, L., Moffatt, K., Mcgrenere, J., & Dawson, J. (2009). Ephemeral adaptation: The use of gradual onset to improve menu selection performance. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1655–1664).
[41]
Flavián C, Longás L, and Lozano J E-learning and market orientation in higher education Education and Information Technologies 2013 18 69-83
[42]
Fu X, Zhang J, and Chan FTS Determinants of loyalty to public transit: A model integrating satisfaction-loyalty theory and expectation-confirmation theory Transportation Research Part a: Policy and Practice 2018 113 476-490
[43]
Gajos, K., Wobbrock, J., & Weld, D. (2008). Improving the performance of motor-impaired users with automatically - generated, ability-based interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1257–1266).
[44]
Gamberini L and Valentini E Riva G and Galimberti C Web usability today: Theories, approach and methods Towards CyberPsychology: Mind, Cognitions and Society in the Internet Age 2003 Amsterdam 109-126
[45]
Geng R and Tian J Improving web navigation usability by comparing actual and anticipated usage IEEE Transactions on Human-Machine Systems 2015 45 1 84-94
[46]
Ghavifekr S and Mahmood H Factors affecting use of e-learning platform (SPeCTRUM) among University students in Malaysia Education and Information Technologies 2017 22 75-100
[47]
Greenberg S and Witten I Adaptive personalized interfaces - A question of viability Behaviour and Information Technology 1985 4 31-45
[48]
Harefa EB Usability measurement of google classroom applications as e-learning for students of department of building engineering education IKIP gunung sitoli Indonesian Science Education Research 2020 2 1 11-14
[49]
Heimgartner, R. (2005). Towards cross-cultural adaptive human-machine-interaction in automotive navigation systems. In Proceedings of the Seventh International Workshop on Internationalisation of Products and Systems (pp. 97–111).
[50]
Heimgartner, R., Tiede, L. W., Leimbach, J., Zehner, S., & Windl, H. (2007). Towards cultural adaptability to broaden universal access in future interfaces of driver information systems. In Stephanidis C. (Ed.), Universal Access in Human-Computer Interaction. Ambient Interaction (pp. 383–392). Springer, Berlin, Heidelberg.
[51]
Henseler J, Ringle CM, and Sarstedt M Using partial least squares path modeling in advertising research: Basic concepts and recent issues Handbook of Research on International Advertising 2012
[52]
Höck M and Ringle CM Strategic networks in the software industry: An empirical analysis of the value continuum 2006 In IFSAM VIIIth World Congress
[53]
Holden, H. (2009). Assessing teachers’ acceptance and usage behavior of current job-related technologies. Unpublished Dissertation, University of Maryland Baltimore, County, Baltimore, MD. UMI # 3389007
[54]
Holzinger A Usability engineering methods for software developers Communications of the ACM 2005 48 1 71-74
[55]
Hook, K. (1997). Evaluating the utility and usability of an adaptive hypermedia system. In Proceedings of the 2nd international conference on Intelligent user interfaces (pp. 179–186).
[56]
Hussain W, Hussain OK, Hussain FK, and Khan MQ Usability evaluation of english, local and plain languages to enhance on-screen text readability: A use case of Pakistan Global Journal of Flexible Systems Management 2017 18 1 33-49
[57]
Ibrahim Y and Hidayat-ur-Rehman I COVID-19 crisis and the continuous use of virtual classes International Journal of Advanced and Applied Sciences 2021 8 4 117-129
[58]
Islam, A. K. M. N. (2011). Antecedents of post-adoption expectations. T. Skersys et al. (Eds.): I3E 2011, IFIP AICT 353 (pp. 269–281). IFIP International Federation for Information Processing.
[59]
ISO 9241–11. (2018). Ergonomics of human-system interaction — Part 11: usability: Definitions and concepts. https://www.iso.org/obp/ui/#iso:std:iso:9241:-11:ed-2:v1:en. Accessed 3 Mar 2021
[60]
Kabir, M. A., Hossin, M. A., Mahmud, S. M. H., Noori, S. R. H., & Bhuiyan, T. (2018). Usability evaluation of mobile applications: An empirical analysis of supply chain management systems. Proceedings of the 4th International Conference on Computer and Communications (pp. 2525–2531).
[61]
Kersten, G., Kersten, M., & Rakowski, W. (2002). Software and culture: Beyond the internationalization of the interface. Journal of Global Information Management, 10(4).
[62]
Kiili K Evaluating WAP Usability: "What Usability?" Proceedings of the IEEE International Workshop on Wireless and Mobile Technologies in Education 2002
[63]
Kim B An empirical investigation of mobile data service continuance: Incorporating the theory of planned behavior into the expectation–confirmation model Expert Systems with Applications 2010 37 7033-7039
[64]
Kim, M. H., Ko, S. M., Mun, J. S., Ji, Y. G., & Jung, M. R. (2007). A usability study on personalized EPG (pEPG) UI of digital TV. In J. Jacko (Ed.): Human-Computer Interaction, Part III, HCII 2007, LNCS 4552 (pp. 892–901). Berlin: Springer-Verlag.
[65]
Kipkurui, N. G. P., & Ikoha, A. (2014). Evaluating usability of e-learning systems in universities. International Journal of Advanced Computer Science and Applications, 5(8).
[66]
Kumar, A., Tadayoni, R., & Sorensen, L. T. (2015). Metric based efficiency analysis of educational erp system usability-using fuzzy model. In Proceedings of the Third International Conference on Image Information Processing (pp. 382–386).
[67]
Kumar JA and Bervell B Google Classroom for mobile learning in higher education: Modelling the initial perceptions of students Education and Information Technologies 2019 24 1 1793-1817
[68]
Kumar JA, Bervell B, and Osman S Google classroom: Insights from Malaysian higher education students’ and instructors’ experiences Education and Information Technologies 2020 25 4175-4195
[69]
Lacka E and Chong A Usability perspective on social media sites' adoption in the B2B context Industrial Marketing Management 2016 54 80-91
[70]
Lee, M. C. (2010). Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model. Computers & Education, 54, 506–516.
[71]
Leung L and Chen C E-health/m-health adoption and lifestyle improvements: Exploring the roles of technology readiness, the expectation-confirmation model, and health-related information activities Telecommunications Policy 2019 43 563-575
[72]
Lin CC Exploring the relationship between technology acceptance model and usability test Information Technology and Management 2013 14 243-245
[73]
Lin TC, Huang SL, and Hsu CJ A dual-factor model of loyalty to IT product – The case of smartphones International Journal of Information Management 2015 35 215-228
[74]
Mabanza, N. (2018). Evaluating the usability of flat panel displays: A case study of the faculty of engineering and information technology. In Proceedings of the International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD).
[75]
Milicevic V, Denic N, Milicevic Z, Arsic L, Spasic-Stojkovic M, Petkovic D, Stojanovic J, Krkic M, Milovancevic NS, and Jovanovic A E-learning perspectives in higher education institutions Technological Forecasting & Social Change 2021
[76]
Moraga MA, Calero C, Piattini M, and Diaz O Improving a portlet usability model Software Quality Journal 2007 15 155-177
[77]
Nascimento B, Oliveira T, and Tam C Wearable technology: What explains continuance intention in smartwatches? Journal of Retailing and Consumer Services 2018 43 157-169
[78]
Ngampornchai, A., & Adams, J. (2016). Students’ acceptance and readiness for e-learning in Northeastern Thailand. International Journal of Educational Technology in Higher Education, 13(34).
[79]
Nielsen, J. (1993). Usability engineering. Boston, EEUU: AP Professional
[80]
Nouman, N., & Umer, A. (2019). Web navigation and usability analysis of educational websites in Pakistan. In Proceedings of the Seventh International Conference on Digital Information Processing and Communications (ICDIPC) (pp. 57–62).
[81]
Obienu AC and Amadin FI User acceptance of learning innovation: A structural equation modelling based on the GUAM framework Education and Information Technologies 2020
[82]
Oghuma AP, Libaque-Saenz CF, Wong SF, and Chang Y An expectation-confirmation model of continuance intention to use mobile instant messaging Telematics and Informatics 2016 33 34-47
[83]
Oghuma AP, Chang Y, Libaque-Saenz CF, Park MC, and Rho JJ Benefit-confirmation model for post-adoption behavior of mobile instant messaging applications: A comparative analysis of KakaoTalk and Joyn in Korea Telecommunications Policy 2015 39 658-677
[84]
Olsina, L., Santos, L., & Lew, P. (2014). Evaluating mobileapp usability: A holistic quality approach. In S. Casteleyn, G. Rossi, and M. Winckler (Eds.): ICWE 2014, LNCS 8541 (pp. 111–129). Switzerland: Springer.
[85]
Oulasvirta A, Engelbrecht K, Jameson A, and Möller S The usability of spoken dialogue system design Designing Human Interface in Speech Technology 2019
[86]
Pangestu, H., & Karsen, M. (2016). Evaluation of usability in online learning. In International Conference on Information Management and Technology (ICIMTech) (pp. 267–271).
[87]
Pirhonen A Supporting a user facing a novel application: Learnability in OOBE Personal and Ubiquitous Computing 2005 9 218-226
[88]
Rafla T, Robillard PN, and Desmarais M A method to elicit architecturally sensitive usability requirements: Its integration into a software development process Software Quality Journal 2007 15 117-133
[89]
Raita, E., & Oulasvirta, A. (2014). Mixed feelings? The relationship between perceived usability and user experience in the wild. In The 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational (pp. 26–30)
[90]
Ramadiani, A. R., Selamat, M. H., Abdullah, R., Pa, N. C., & Azainil. (2016). User difficulties in e-learning system. In 2nd International Conference on Science in Information Technology (ICSITech).
[91]
Rauf, A., Batool, S., Rehman, S. U., & Shahid, A. A. (2010). Survey based usability evaluation of Ms Word. In Proceedings of the International Conference on User Science Engineering (i-USEr) (pp. 195–198).
[92]
Reinecke, K., & Bernstein, A. (2007). Culturally adaptive software: Moving beyond internationalization. In Aykin N. (Ed.) Usability and Internationalization. Global and Local User Interfaces (pp. 201–210). Springer, Berlin, Heidelberg
[93]
Reinecke K and Bernstein A Improving performance, perceived usability, and aesthetics with culturally adaptive user interfaces ACM Transactions on Computer-Human Interaction 2011 18 2 1-29
[94]
Reinecke K, Schenkel S, and Bernstein A Blanchard EG and Allard D Modeling A User’s Culture Handbook of Research on Culturally - Aware Information Technology: Perspectives and Models 2010 USA 242-264
[95]
Revythi A and Tselios N Extension of technology acceptance model by using system usability scale to assess behavioral intention to use e-learning Education and Information Technologies 2019 24 2341-2355
[96]
Ringle, C. M., Wende, S., & Jan-Michael, B. (2015). SmartPLS 3. http://www.smartpls.com. Accessed 14 March 2021
[97]
Rosenbaum S Usability Evaluations Versus Usability Testing: When and Why? IEEE Transactions on Professional Communication 1989 32 4 210-216
[98]
Safsouf, Y., Mansouri, K., & Poirier, F. (2020). Smart learning environment, measure online student satisfaction: a case study in the context of higher education in Morocco. In Proceedings of 4th International Conference on Electrical and Information Technologies.
[99]
Salloum SA, Al-Emran M, Shaalan K, and Tarhini A Factors affecting the E-learning acceptance: A case study from UAE Education and Information Technologies 2019 24 509-530
[100]
Saputra, R., Isnaini, N., Adhy, S., Bahtiar, N., Abidin, Z., & Suharto, E. (2020). Factors influencing student’s adoption of e-learning in Indonesian secondary schools. In Proceedings of 4th International Conference on Informatics and Computational Sciences (ICICoS).
[101]
Sauro, J. (2013). How to measure learnability. MeasuringU mixed-methods research and software firm. https://measuringu.com/measure-learnability/. Accessed 12 March 2021
[102]
Scholtz BM, Mahmud I, and Ramayah T Does Usability Matter? An Analysis of the Impact of Usability on Technology Acceptance in ERP Settings Interdisciplinary Journal of Information, Knowledge, and Management 2016 11 309-330
[103]
Scholtz B, Calitz A, and Cilliers C Usability evaluation of a medium-sized ERP system in higher education Electronic Journal of Information Systems Evaluation 2013 16 2 148-161
[104]
Seaborn, K., Satoh, Y., & Fels, D. I. (2016). usability and safety of a hud during powered chair navigation: A pilot study. In M. Antona and C. Stephanidis (Eds.): UAHCI 2016, Part III, LNCS 9739 (pp. 628–638). Switzerland: Springer.
[105]
Sears, A., & Shneiderman, B. (1994). Split menus: Effectively using selection frequency to organize menus. ACM Transactions on Computer-Human Interaction, 1(1).
[106]
Seffah A, Donyaee M, Kline RB, and Padda HK Usability measurement and metrics: A consolidated model Software Quality Journal 2006 14 159-178
[107]
Sholiq, Auda, R.A., Subriadi, A.P., Tjahyanto, A., & Wulandari, A.D. (2021). Measuring software quality with usability, efficiency, and portability characteristics. IOP Conference Series: Earth and Environmental Science, 704.
[108]
Singh, A., & Wesson, J. L. (2009). Evaluation criteria for assessing the usability of ERP systems. In Proceedings of the 2009 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists (pp. 87–95). New York : ACM.
[109]
Stone RW and Baker-Eveleth L Students’ expectation, confirmation, and continuance intention to use electronic textbooks Computers in Human Behavior 2013 29 984-990
[110]
Suzianti, A., & Paramadini, S.A. (2021). Continuance intention of e-learning: The Condition and Its Connection with Open Innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7 (97).
[111]
Tam C, Santos D, and Oliveira T Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model Information Systems Frontiers 2020 22 243-217
[112]
Tesavrita, C., Suryadi, K., & Wiratmadja, I. I. (2016). Web Usability and Self-Efficacy in Promoting Individual Knowledge Sharing. Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 16–20).
[113]
Venkatesh V and Goyal S Expectation disconfirmation and technology adoption: Polynomial modeling and response surface analysis MIS Quarterly 2010 34 2 281-303
[114]
Venkatesh V, Thong JYL, Chan FKY, Hu PJH, and Brown SA Extending the twostage information systems continuance model: Incorporating UTAUT predictors and the role of context Information Systems Journal 2011 21 6 527-555
[115]
Wang, L. Y. K., Lew, S. K., Lau, S. H., & Leow, M. C. (2019). Usability factors predicting continuance of intention to use cloud e-learning application. Heliyon, 5.
[116]
Watanabe, W. M., de Mattos Fortes, R. P., & Pimentel, M. D. G. C. (2011). The link-offset-scale mechanism for improving the usability of touch screen displays on the web. In P. Campos et al. (Eds.): INTERACT 2011, Part III, LNCS 6948 (pp. 356–372). Berlin: Springer-Verlag.
[117]
Weichbroth P Usability of Mobile Applications: A Systematic Literature Study IEEE Access 2020 8 55563-55577
[118]
Xu F and Du JT Factors influencing users’ satisfaction and loyalty to digital libraries in Chinese universities Computers in Human Behavior 2018 83 64-72
[119]
Yeung, P., & Jordan, E. (2006). Understanding the continued usage of business e-learning courses in HK corporations. In D. Kumar & J. Tumer, (Eds.): Education for the 21st Century-Impact of ICT and Digital Resources (pp. 245–254). Boston: Springer.
[120]
Yu Y and Liu Z Research on System Usability of Digital Libraries in China Proceedings of the IEEE International Symposium on Electronic Design, Test & Applications 2008
[121]
Yuan, H., Lao, C. C., Hu, S. L., Zhang, Q. L., & Liang B. K. (2019). Design and usability of the touch-based interface of CNC presses. In Proceedings of the International Conference on Information Technology and Computer Application (ITCA) (pp. 39–52).
[122]
Yusuf, S. U., Taslim, J., Adnan, W. A. W., & Baharudin, S. K. (2014). Usability evaluation of human resource management information system (HRMIS). In Proceedings of the 3rd International Conference on User Science and Engineering (i-USEr) (pp. 204–209).
[123]
Zali, Z., & Fadzlah, A. F. A. (2016). An initial theoretical usability evaluation model for assessing defence mobile e-based application system. In Proceedings of the International Conference on Information and Communication Technology (ICICTM) (pp. 198–202).
[124]
Zardari BA, Hussain Z, Arain AA, Rizvi WH, and Vighio MS QUEST e-learning portal: Applying heuristic evaluation, usability testing and eye tracking Universal Access in the Information Society 2020
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Published: 01 March 2022
Accepted: 26 May 2021
Received: 19 March 2021
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