ABSTRACT
Studies have been conducted on university students' acceptance of e-learning systems during COVID-19. However, less attention has been paid to students' use of e-learning post-pandemic. This research provides a more comprehensive framework to investigate the effects of e-learning students' various quality perceptions on attitude, learning engagement, and stickiness toward e-learning platforms. A survey-based quantitative method is adopted by this study in which sample data are collected from students in Australian universities. A total of 403 valid samples were analysed using covariance-based structural equation modelling. This study found that students' perceived educational quality, service quality, information quality, and technical system quality play different roles in their attitudes and behaviours towards e-learning. It expands the information system success model by comparing the effects of students' various perceived qualities on their ongoing commitment to e-learning. It provides insights to e-learning providers in pursuing better designs and more sustainable development of educational information systems.
ABSTRACT
Various models of evaluating eLearning system success have been identified in the past and the need for effective evaluation of eLearning systems has been highlighted during the COVID-19 pandemic. The purpose of the present work is to elicit how both academic staff and students (the evaluators) view the performance of eLearning attributes when being taught using an eLearning system. The attributes are ranked using a multi-criteria evaluation algorithm called the Fuzzy Technique for Order Preference by Similarity to the Ideal Solution (Fuzzy TOPSIS). Here, using linguistic-response expert questionnaires, a set of eLearning system attributes and a set of eLearning system criteria are evaluated. The Fuzzy TOPSIS algorithm yields weightings for each of the attributes which can then be ranked to arrive at the optimal solution in terms of how well they contributed to the success of the current eLearning system. IT service quality is found to rank highest, followed by technical system quality, information quality and finally the consideration of different learning styles. Large agreement is seen between academic staff and student evaluators, with minor disagreement between students of two different disciplines. As regards practical implications, it is shown from the rankings that the eLearning system must be reorganized and consideration of different learning styles must be improved. The Fuzzy TOPSIS method has been found to be a reliable and economic evaluation approach of eLearning systems, since it does not require large numbers of evaluators and provides a ranking of attributes which translate directly into priorities for improvement.
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Some organizations face significant shifts in their teaching settings and emerging teaching developments, and new technology-driven practices. Today's students are raised in a technologically advanced environment, unlike their predecessors. Higher education institutions must find innovative ways to serve diverse instructional requirements, learning stages, methodologies, and preferences. Many students and educators were exposed to online education during the Covid-19 pandemic and started to adapt to new behavior for the new-normal blended learning. The authors suggest a model for assessing the effectiveness of blended learning programs in higher education institutions in this paper. The model was implemented and tested on Kuwait University students.
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The current situation caused by COVID-19 has accelerated the change in lifestyles and therefore Universities have had to modify their teaching-learning models. The objective of this work is to explore the factors that affect the perception of satisfaction and the learning results of those when using online learning applications. Through a quantitative methodology and using as a basis the Technology Acceptance Model (TAM) and the Information Systems Success Model (ISs), the results were analyzed by means of PLS-SEM (Partial Least Squares-Structural Equation Modeling). The data were collected through a survey conducted by a structured questionnaire and sent to students of different levels of higher education. Among the main findings, it was obtained that the higher the satisfaction of users of online learning platforms, the higher the results. The information obtained can contribute to the Universities being able to enhance this type of tool to efficiently achieve the proposed educational objectives.
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The COVID-19 epidemic has hastened the growth of Virtual Communities and is affecting virtually every part of work in the public and business sectors. Virtual communities, popular forums for communication and entertainment, increasingly affected the users' decisions. Though many technology adoption models/theories are available, a distinctive model for decision-making in a virtual environment is scarce. This research developed the virtual communities' decision model and empirically tested its performance. This study examined 16 well-established theories/models of information technology, social science, marketing, and behavioral finance and extracted nine constructs from 58 identified constructs considering theoretical cohesiveness along with the three-stage method proposed by Moore and Benbasat. A unified model for virtual communities' decisions (VCDM) is developed and validated using the data collected from individual capital market investors in Bangladesh. The structural equation modeling technique is used to analyze the data. The upshot implies that VCDM performs adequately and explains the maximum variances in intention to decision and investment. VCDM also outperforms the majority of the related theoretical models. The acceptance levels of fit indices and all significant relationships among different constructs are also empirically validated. The moderating effect of the virtual group use experience is also confirmed. Future research can use VCDM in marketing, behavioral finance, ecommerce, information systems and social science context. VCDM thus facilitates a beneficial tool for managers, service providers, and other users to assess the likelihood of effectiveness for decisions in a virtual environment.
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Due to the constant progress of technology and the growing need for digitalization of various processes, the development of Information Systems, their implementation and the need to measure these systems is constantly growing. The situation caused by the Covid-19 virus has forced all educational institutions to replace their previous traditional way of working with online teaching and learning. E-Iearning can change the way of learning and offer new opportunities, by enabling learning anywhere and anytime and access to information at a distance, which is why universities and higher education institutions are increasingly striving to provide e-Iearning. The implementation and application of such systems causes a change in the working environment, so when measuring the success of IS, it is necessary to look at this aspect as well. This paper aims to investigate the role of workforce agility on the acceptance, and therefore the success, of Information Systems. © 2022 IEEE.
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While online learning had traditionally been implemented to aid in-person education, it has recently evolved into a critical tool for remote education. In particular, the advent of the COVID-19 pandemic has accelerated the spread of online learning and its significance. However, this wave of innovation in the education field has revealed the lack of research on how online education should be systematically provided and which educational aspects should be considered to enhance learner satisfaction in online settings. With the recent emergence of the Metaverse, VR education is once again proposed as a major tool for online learning despite existing limitations in research which put both systematic and educational aspects into consideration. Hence, this study presents and discusses a research model that converges technology acceptance model, information systems success model, and self-determination theory with the purpose of exploring variables that affect learner satisfaction, mediating the flow theory. Results showed that most variables of both self-determination theory and information system quality within VR education impact learner satisfaction. In particular, learners’ flow—complete immersion in learning—functions as an important mediating variable for learner satisfaction. These findings suggest designing and running a systematic platform that reflects self-directed learning is imperative to bring the best educational practices into the Metaverse. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
While online learning had traditionally been implemented to aid in-person education, it has recently evolved into a critical tool for remote education. In particular, the advent of the COVID-19 pandemic has accelerated the spread of online learning and its significance. However, this wave of innovation in the education field has revealed the lack of research on how online education should be systematically provided and which educational aspects should be considered to enhance learner satisfaction in online settings. With the recent emergence of the Metaverse, VR education is once again proposed as a major tool for online learning despite existing limitations in research which put both systematic and educational aspects into consideration. Hence, this study presents and discusses a research model that converges technology acceptance model, information systems success model, and self-determination theory with the purpose of exploring variables that affect learner satisfaction, mediating the flow theory. Results showed that most variables of both self-determination theory and information system quality within VR education impact learner satisfaction. In particular, learners' flow-complete immersion in learning-functions as an important mediating variable for learner satisfaction. These findings suggest designing and running a systematic platform that reflects self-directed learning is imperative to bring the best educational practices into the Metaverse. © 2022 IEEE.
ABSTRACT
Blended e-learning has become a common phenomenon in higher education globally. Most affluent economies embraced e-learning by design through strategic moves to augment their competitiveness. However, in most emerging economies, e-learning implementation was impulsively reactive to the Covid-19's demands. Thus, the study examined the impact of perceived e-learning service quality on students' satisfaction and loyalty in a developing country. The expectation-confirmation thty -35eory informs the development of the conceptual framework. A causal research design enshrined in the positivism research philosophy was adopted. The research population was made up of students enrolled in public and private universities in Zimbabwe. Data was collected through person-administered survey and a stratified sample of 354 students was obtained. The results from structural equation modelling (SEM) revealed significant positive relationships between perceived e-learning service quality dimensions and e-learning student satisfaction. It was also reflected that student satisfaction positively affected student loyalty with e-learning (P < 0.05). It was therefore concluded that system quality, information quality and service quality significantly influence student satisfaction and loyalty with e-learning. The study thus recommended that the higher education industry should design e-learning systems that enhance easy access, easy navigation and user flexibility.
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The COVID-19 pandemic has severely affected the tourism industry, with national lockdowns aimed at curbing the spread of the virus mandating travel restrictions and prohibiting events and gatherings. The shift to online video conferencing tools, which offer limited interactivity, has spurred the need to integrate augmented reality (AR) in various contexts, such as meetings, exhibitions, museums, and travel. This quantitative study examines visitors' perspectives on AR-based apps in tourism. It investigates the influence of three kinds of quality determinants, such as information quality, system quality, and service quality, on visitors' perspectives on AR apps. Their impact on visitor satisfaction ultimately triggers visitors to reuse AR-based mobile apps. The research makes a theoretical contribution to the literature on AR and the quality dimensions of mobile apps. We expect demand for AR-based apps to rapidly increase, as people continue to follow preventive measures even after COVID-19.
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Purpose The purpose of this study is to investigate the effects of the Perceptions of coronavirus 2019 (COVID-19) questionnaire and the Information System Success Questionnaire on students when using the school's COVID-19 epidemic prevention website. The study is aimed toward analyzing both questionnaires as well as evaluating an epidemic prevention website. Design/methodology/approach The school's COVID-19 prevention website and two questionnaires (Perceptions of COVID-19 and the Information System Success Questionnaire) are examined in order to investigate 73 students' COVID-19 perceptions. An open-ended question was used as the qualitative data to support quantitative data and evaluate a university's COVID-19 epidemic prevention website from a southern university in Taiwan. Findings The findings indicated that most students evaluated the school's COVID-19 website positively and were satisfied. In the open-ended questions, the majority of students rated the quality of the system positively and the need to fix some defects. Students have different COVID-19 perceptions and social distance compliance based on their current situations. Practical implications This study provides researchers and website developers a broader understanding of the construction of the school's COVID-19 prevention website and a better understanding of student's COVID-19 perceptions. Originality/value To the best of the authors' knowledge, this is the first study examining a school's epidemic prevention website, which is measured by the Information Success Questionnaire and the Perceptions of COVID-19 Questionnaire for college students.
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The Indonesian Government has launched PeduliLindungi (PL) mobile apps as a COVID-19 preventive tool. This study aimed to describe the PL utilization and determine the factors influencing its successful use among college students. This study used a cross-sectional design and a total population sampling at a university in the Special Capital Region of Jakarta, Indonesia. The Delone and Mclean Information System Success Model was adopted to measure the use of the apps. The Spearman's rank correlation test was performed to determine the relationship between two variables. Furthermore, 354 respondents participated in this study. The respondents used the apps mostly to display the vaccination certificate and check in/out from public facilities. The overall user satisfaction value towards the application was 3.83 +/- 0.76. The system quality (rho = 0.621, p-value<0.001) and information quality (rho = 0.626, p-value<0.001) were associated with the user satisfaction while the user satisfaction (rho = 0.471, p-value<0.001), was correlated to the perceived benefit. In brief, perceived benefit was positively correlated with the user's satisfaction, whereas user satisfaction was positively correlated with self-efficacy, system quality, and information quality.
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Purpose - This study aims to empirically examine accounting information system (AIS) success at the organizational level during COVID-19 era. Design/methodology/approach - Based on the information system success model, this paper developed its model and proposed a total of nine hypotheses. This paper gathered the required data via a questionnaire from Yemeni small and medium enterprises (SMEs) owners and managers. To test the proposed research model paths, SmartPLS software, which is known as partial least squares structural equation modeling, was used. Findings - The results showed that the quality dimensions (information quality and system quality) positively affected the use of MS and satisfaction;user satisfaction positively affected the use of AIS. Management support positively affected the AIS users' usage and satisfaction. Finally, the use dimensions (user satisfaction and usage) positively impacted the net benefits in terms of gaining a competitive advantage, productivity enhancement and saving time and cost. In all, this research has succeeded in providing support for DeLone and McLean's IS success model at the organizational level during the COVID-19 era. Practical implications - AIS is becoming increasingly important for SMEs in low-income countries like Yemen, particularly in the present pandemic conditions (COVID-19 era). By using AIS, users can access the enterprise's data and conduct transactions without being limited by distance. Indeed, AIS proved its ability in enhancing the net benefits at the organizational level in the COVID-19 era in terms of gaining a competitive advantage, productivity enhancement and saving time and cost. However, AIS can only be considered useful to the enterprise if it is effective/successful. Originality/value - This study is one of the first to have assessed the impact of AIS success at the organizational level in the era of COVID-19 pandemic, the context of Yemeni SMEs.
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Purpose The coronavirus disease 2019 (COVID-19) pandemic altered business and personal activities globally especially stimulating contactless financial transactions. However, despite the similar national lockdowns in cash-based economies, the adoption of contactless transactions through the widely available mechanism, mobile wallets, remained low. This research aimed to identify the factors surrounding this peculiarity. Design/methodology/approach The study was investigated using a composite model based on the diffusion of innovation theory (DIT), technology acceptance model (TAM) and information systems success model (ISSM). Data were collected from 621 Cameroonian mobile wallet users and analyzed using partial least squares structural equation (PLS-SEM) modeling. Findings The key findings revealed that the usage of mobile wallets, in the current form, were not affected by the perceived ease of use and did not match the existing lifestyle of users in Cameroon (no compatibility). The branding of mobile wallets (image) which was based on global messaging did not appeal to Cameroonians;in fact, the branding gave mobile wallets a negative image. Originality/value These key findings reveal the dangers of assuming that global strategies which have been effective in dealing with the pandemic will be effective in low-income or cash-based economies. The findings suggest that considering essential contextual dispositions is critical.
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This paper aims to formulate and test a comprehensive model by integrating the strengths of the TAM and IS success model and the addition of two constructs, namely promotional offers and situational influence, to explain the continued usage intention of mobile wallets. Using an online survey, data were gathered from 588 mobile wallet users who had prior experience using mobile wallets for more than six months. The data were examined using the partial least square-structural equation modelling to investigate relationships between variables and test the hypothesised model. The proposed model disclosed 62.6% of the variance in continued usage intention. The situational influence of COVID-19 emerged as the strongest predictor, followed by satisfaction. This study offers valuable insights to service providers and policymakers involved in executing and deploying mobile wallet services. For academicians, this research presents a comprehensive framework that investigates the continued usage of mobile wallets. © 2022, The Author(s), under exclusive licence to Springer Nature Limited.
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During the COVID-19 pandemic, many universities have moved a large portion of their classes online. To better support students' online learning activities and to best resemble the face-to-face setting, the technology-supported, synchronous remote learning platform was adopted in most cases. In this study, the authors aim to investigate factors that could influence students' learning in this new environment during the COVID-19 pandemic. Specifically, a research model was developed and tested with 428 students. The result showed that students' IT competence had a significant impact on their learning satisfaction, while social influence had a significant impact on their intention to use the remote learning technology in future classes. As to technology-facilitating conditions, significant impacts were found from it (at both institution and student levels) to learning satisfaction. They also found that COVID-19-related mental impacts could influence student satisfaction on and intention to use the remote learning technology.
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Purpose This study aims to identify the acceptance factors in the UAE for the digital mobile payment market, introduces a new hierarchical framework based on the continuation intention factors and prioritises the importance of the acceptance criteria and sub-criteria. Design/methodology/approach The measurement of acceptance factors in payment systems is a complex and unstructured topic involving many criteria and sub-criteria, which requires breaking the problem down into several components organised in a hierarchical multi-level form. The analytic hierarchy process (AHP) methodology manages the complexity of multi-criteria decision-making processes based on a new set of criteria connected to the adoption and continuance intention factors. Findings The AHP framework developed a ranking of 18 sustainability sub-factors based on evaluations by experienced payment professionals. Research limitations/implications The future directions of the research would be to investigate the impact of dynamic capabilities on the resilience of retail service networks, especially during COVID-19, where supply and demand are highly indeterminate. Practical implications Through successive stages of data collection, measurement analysis and refinement, the contribution of this research is a reliable and valid framework that can be used to conceptualise and prioritise sustainability strategies in payment management. Originality/value Given the lowest mobile payment products penetration rates of the UAE and the scarcity of literature on this topic, this study aims to contribute to the knowledge by including UTAUT, the IS success model and the impact of COVID-19 as adoption and continuance intention factor in the digital mobile payment case in the UAE.
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The e-learning system, is usually defined as a teaching and learning activities that is done with a computer, which evolves alongside with the evolution of the web. During the COVID-19 Pandemic, schools are forced to make a switch to the distance learning methods. With some previous research on studies about satisfaction using TAM, ECM and ISS, a conceptual framework was created to create a further study on Satisfaction. A total of seven hypotheses were created on this research that connects six variables from TAM, ECM, and ISS. As the survey was conducted to 400 high school students in Indonesia who uses the e-learning, the data was processed and calculated using SmartPLS using the PLS and Bootstrapping calculation. After the convergent and discriminant validity and the path analysis were conducted, it was found out that all of the hypotheses were accepted. However, there are some limitations in this study, which include sample and variable limitations. © 2022 IEEE.
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BACKGROUND: Recently, because of the COVID-19 pandemic, customer sentiment has evolved as the new "normal" for food consumption-as it affects customer behavioral change, including the way customers eat. Therefore, understanding customer demands and needs will help food delivery aggregators and retailers produce sustainable, competitive advantage and drive profitability. OBJECTIVE: This paper aims to investigate the determinant factors of Thai consumers' intention to use on-demand food delivery applications. METHODS: Convenient random sampling was used to gather data from 250 participants who have used food delivery applications in Thailand and Amos version 23 to test model validity and the hypotheses. RESULTS: The results show that satisfaction is critical for the intention to use food delivery applications. Social influence, trust, convenience, and application quality were found to play an essential role in meeting the needs of satisfaction toward the intention to use, and application quality is the most important. However, habit showed a negative relationship, and price value was found to have a nonsignificant impact on satisfaction. CONCLUSIONS: Food delivery aggregators should ensure the quality of application updates and efficiency and that users have the best quality experience to maintain customer satisfaction. However, customers are also concerned about their health and safety, which has altered their purchasing behavior. Therefore, restaurant players should add a third delivery system that optimize online ordering and delivery.
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More and more instructors have begun using blended learning to overcome the challenges encountered during the covid-19 pandemic. However, still not much known about influential factors in students' acceptance of such hybrid learning systems. For this purpose, a framework that includes key attributes such as;information quality and system quality, system interactivity, user satisfaction, perceived usefulness, perceived ease of use, and blended learning system use was developed. Pearson correlations were used to analyze data from 700 respondents. Findings revealed that, while there exist no significant relationships among system quality-user satisfaction and user satisfaction-use for blended learning and relatively weak, positive relations exist among perceived ease of use-use for blended learning. In addition to a low, positive relationship between perceived usefulness and use for blended learning, moderate positive correlations exist among system interactivity-user satisfaction and perceived ease of use-perceived usefulness. Finally, high positive correlations exist among information quality-user satisfaction, user satisfaction-perceived usefulness, and user satisfaction-perceived ease of use. Information quality is important in students' satisfaction when using the blended systems. This also affects the perceived ease of use and perceived usefulness of the system. The decision-makers and institutions benefit from this study by considering only the factors leading to a successful implementation of blended learning. (C) 2021 INT TRANS J ENG MANAG SCI TECH.