The role of transformational leadership as a mediating variable in DeLone and McLean information system success model: The context of online learning usage in Yemen

Exploring the factors influencing academic learning performance using online learning systems

-Online learning has become vital and fundamental for learning success in higher education institutions to cope with various learning methodologies or crises such as COVID-19. Therefore, this study investigates factors influencing the academic learning performance among diploma and bachelor's degree students who utilize online e-learning systems in Jordan. Using a conceptual model developed from an extensive previous literature review, the study used a quantitative research methodology to collect data via survey questionnaires. Using PLS-SEM, the empirical analysis of 846 questionnaires collected from Jordanian students demonstrates that task-technology fit and students' satisfaction positively influence learning performance and contribute significantly to student academic success using online learning systems. While the quality of system, service, and information are critical determinants of task-technology fit, student interaction, and instructor interaction are critical determinants of student satisfaction. The study highlights the importance of user-friendly interfaces, effective communication channels, collaboration, and positive learning environments. The findings provide practical insights for universities, online learning system designers, administrators, and instructors to enhance student-learning outcomes. Additionally, system providers can use these findings to address essential successful tools and features needed to create effective and efficient online learning environments. This study highlights practical implications that support higher education institutions' efforts to enhance their online e-learning systems quality and improve student-learning outcomes while helping system providers address essential successful tools and features needed.

Factors influencing telemedicine adoption among physicians in the Malaysian healthcare system: A revisit

Background

The Malaysian healthcare system is under strain due to an aging population, the rising prevalence of chronic diseases, and heavy workloads among physicians. As costs and requirements continue to rise, telemedicine is critical for bridging gaps in supply and demand. However, there are limited studies on telemedicine adoption among Malaysian physicians. Furthermore, the existing literature on telemedicine adoption does not contain a comprehensive framework that integrates the multidimensional social influence, and technological, clinical, and individual factors.

Objective

This research investigates the adoption of telemedicine among Malaysian physicians. It draws from the Technology Acceptance Model (TAM) and Kelman's Social Influence Theory.

Methods

A survey was conducted among 230 participants in hospitals located in Kuala Lumpur and Selangor. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM).

Results

The study identified crucial factors influencing telemedicine adoption, including informational influences, rewards, perceived ease of use, and usefulness. Meanwhile, the Importance-performance Map Analysis (IPMA) identified perceived ease of use as the most important factor for physicians, but the highest performance was patient's records.

Conclusions

The proposed integrated model enhances the understanding of telemedicine adoption and highlights the differential effects of individual, technological, clinical, and multidimensional social influence factors from the physicians' perspective. The findings can guide future studies and influence implementation strategies for telemedicine promotion in the Malaysian healthcare context. Hospitals should prioritize user-friendly technology and information provision, while telemedicine providers should enhance the accessibility of patient records to facilitate telemedicine adoption. Policymakers should consider supporting training programs that will boost physicians' confidence in effectively utilizing telemedicine.

Enhancing collaborative learning in health management education: an investigation of Padlet-mediated interventions and the influence of flexible thinking

This study had three primary goals. First, it aimed to craft an intervention program centered around collaborative learning enabled by Padlet. Second, it aimed to gauge the perceptions of health management students regarding this intervention and how it affected their collaborative learning experiences. Additionally, the third objective of the study aimed to investigate how students' flexible thinking within the learning process might shape their perceptions of the advantages derived from this instructional activity within the domain of online collaborative learning. Data for the analysis were gathered from 100 Israeli undergraduate students by two measurements: Flexible thinking in learning and Student perceptions of collaborative learning via Padlet. The intervention program included several stages. First, the students discussed the pedagogic objective of using Padlet. In the second stage, the students were presented with ill-structured problems related to the course content. Each group had to choose one problem and analyze it from three perspectives discussed in the course-healthcare provider, patient, and organization. Next, the students presented and explained their solutions employing the shared knowledge base. The final work was presented in different formats using various technologies. The PLS-SEM analysis has corroborated our hypothesis that students' flexible thinking might positively contribute to their perception of Padlet utilization. According to the empirical model, in general, students who perceived themselves as more flexible were found more receptive to utilizing the proposed technological tool (Padlet) and hence tended to appreciate its function as a collaborative learning platform enabler. This study mainly underscores the important role flexible thinking plays in motivating managers and medical professionals to embrace innovative technologies or methods for teamwork, that could enable them to weigh arguments, seek alternative solutions to authentic problems, and adjust their approaches effectively and collaboratively as new challenges emerge.

The relationship between nursing students' readiness and attitudes for E-learning: The mediating role of self leadership: An online survey (comparative study)

BACKGROUND

To meet the learning demands of new generation students, higher education institutions should apply relevant breakthroughs in science, technology, and education to update their educational policies or teaching techniques. Aim To investigate the relationship between nursing students' readiness and attitudes toward e-learning, as well as the role of self‑leadership in mediating this relationship.

METHODS

This is a descriptive comparative research. A total of 410 students consented to participate after being recruited from two nursing colleges at Alexandria and Damanhur Universities in Egypt and completing self-administered, online surveys.

RESULTS

The majority of the participants (83.3 % and 76.9 %, respectively) were female from Alexandria and Damanhur University, and their mean self‑leadership scores were 3.89.49 at Alexandria and 3.65.40 at Damanhur University. According to the SEM, self‑leadership accounted for 74 % of the variance in students' attitudes and 87 % of the variance in students' readiness for e-learning.

CONCLUSION

Self‑leadership is an important predictor of students' attitudes and readiness for e-learning. The study's implications: Self‑leadership allows students to accept responsibility for themselves, and the idea that one can be accountable for guiding oneself through life is thrilling, especially in today's environment.

Online collaborative Padlet-mediated learning in health management studies

Introduction

The Padlet interactive platform constitutes a virtual online board on which users can post various types of multimedia content, such as documents, questions, comments, images, video clips, and audio clips. This platform has gained popularity in higher education yet remains ancillary in the fields of medical education and medical management.

Methods

This case study sought to initially design an intervention program that employs online collaborative learning enabled by Padlet and to assess how Health Management students perceived the activity and its ramifications for their learning. 85 students’ reflective journals were content analyzed.

Results

five main categories stood out: (1) user experience of the platform; (2) visuality and visibility of the platform; (3) collaborative learning and OCL; (4) active online learning and student engagement; and (5) cognitive flexibility.

Discussion

This study emphasizes the importance of incorporating digital tools in education, particularly the use of the Padlet platform to facilitate collaborative learning and improve the quality of teaching and learning. It demonstrates that Padlet-mediated online collaborative learning can be an effective digital learning tool because of its ease of use and ability to accommodate both pedagogical and technological challenges.

Techno-distress and parental burnout: The impact of home facilitating conditions and the system quality

The incorporation of Information and Communications Technology (ICT) in educational environments has generated diverse effects. The literature has established that the use of ICT can generate techno-distress in both teachers and students. However, the techno-distress and burnout caused in parents who help their children to use technological platforms have not been analyzed in depth. To contribute to closing this theoretical gap, we conducted a study with 131 parents who helped their children to use technological platforms, considering two antecedents of techno-distress and its effect on parental burnout. Our results demonstrate that both the home facilitating conditions and the system quality influence parental techno-distress. Additionally, it was possible to demonstrate that techno-distress has a significant effect on parental burnout. The use of technology in educational environments is increasing at all educational levels. Therefore, the present study provides relevant information that schools can use to reduce the impact of the negative effects generated by technology.

Cryptocurrency adoption and continuance intention among Indians: moderating role of perceived government control

Purpose

This study aims to investigate the influence of perceived government control (PGC) on cryptocurrency adoption and continuance intention among Indians through an integrated model of the extended Unified Theory of Acceptance and Use of Technology (UTAUT) with the Information System Success Model (ISSM).

Design/methodology/approach

This study examined the items of cryptocurrency adoption, continuance intention and PGC adopted from the information systems and cryptocurrency literature. The survey was administered to 391 Indians through an online questionnaire. Partial least squares structural equation modeling was used to analyze data.

Findings

Results have shown that social influence, effort expectancy and perceived trust are the major drivers for cryptocurrency adoption. All paths leading to cryptocurrency adoption were found to be significant in the hypothesized directions. The study also found that PGC moderates the relationship between adoption and continuance intention.

Originality/value

This study advances existing literature by empirically verifying the integrated UTAUT and ISSM in the context of cryptocurrency adoption for investment purposes. The findings offer crypto-developers and crypto-exchange insight into how adoption is diffusing in emerging markets. The findings provide policymakers with meaningful insights into the role of government regulations in cryptocurrency continuance intention.

Effect of Perceived Fear, Quality, and Self-Determination on Learners' Retention Intention on MOOCs

Purpose

The purpose of this study is to understand how perceived fear, course quality, and self-determination of learners influence the retention rate of massive open online courses (MOOCs) during the time of pandemic.

Methodology

The proposed developed model is comprised of IS success, expectation confirmation and self-determination theories. Data were collected from 284 respondents and the structural equation modeling was applied to interpret and analyze the data. Additionally, importance-performance maps were plotted to prioritize essential findings.

Findings

The findings revealed that course quality, identified and integrated regulation (motivation) all significantly affect perceived usefulness and satisfaction to influence learners' retention intention. Moreover, the importance performance map analysis (IPMA) exhibited that integrated regulations and course quality are very significant factors with very limited focus. Therefore, developers should improve the performance of these two factors to overcome the dropout rate.

Originality

This research analyzed the effect of the course quality, learners' determination and fear of the pandemic as the determining factors. Besides, the impacts of motivational factors (integrated, identified, introjected and external) from determination theory were also investigated on the learner's satisfaction. Finally, these factors were tested in the context pandemic that gave us new insights, which are not similar to pre-pandemic phase; ie, learners prefer course quality rather than system quality, because they demand new skill and knowledge to increase competitive advantage.

The role of institutional factors and cognitive absorption on students' satisfaction and performance in online learning during COVID 19

With the rise of the Covid-19 pandemic, there has been a severe negative impact on all aspects of life, whether it be a job, business, health, education, etc. As a result, institutions, schools, colleges and universities are being shut down globally to control the spread of Covid-19. Due to this reason, the mode of education has a dramatic shift from on-campus to online learning with virtual teaching using digital technologies. This sudden shift has elevated the stress level among the students because they were not mentally prepared for it, and hence their academic performance has been adversely affected. So, there needs to figure out the underlying process to make online learning more productive. Thus, to obtain this objective, the present study has integrated the modified Technology Acceptance Model (TAM), Task Technology Fit Model (TTF), DeLone and McLean Model of Information Systems Success (DMISM) and Unified Theory of Acceptance and Use of Technology (UTAUT) model. A sample of 404 students was obtained, where 202 students were from the top ten public sector universities, and 202 were from the top ten private sector universities of Punjab. Structural Equation Modelling (SEM) was used to analyze the hypothesized framework using AMOS. The results reveal that institutional factors positively impact students’ performance mediated by user satisfaction and task technology fit. Similarly, institutional factors affect performance through mediation by user satisfaction and actual usage in sequence. Cognitive absorption was used as a moderator between institutional factors and user satisfaction. In the end, theoretical and practical inferences have also been discussed.

Examining predictors of digital library use: an application of the information system success model

Purpose

Digital libraries are not only an assortment of information assets yet have turned into a digital community for correspondence, searching and electronic learning. Also, economically the investment in terms of money, time, energy and manpower associated with the development of effective digital library (DL) systems demands high utilization of these resources. This study aims to explore the factors that affect the utilization of digital libraries and may lead to users’ satisfaction and finally high exposure to information systems like digital libraries. However, these factors may work differently in different cultures. Considering this fact, DeLone and McLean’s IS success model (ISSM) is tested and expanded in a local academic context.

Design/methodology/approach

Following the quantitative research design, a total of 355 responses were collected through a questionnaire-based survey. Research scholars of the University of Punjab, Lahore, Pakistan were the reviewed population of this study. A two-stage stratified random sampling method was used to choose the sample. Structural equation modelling is used to find out the nature and extent of the relationship among studied variables.

Findings

The findings confirm that service quality is the strong predictor of DL system use, whereas overall users’ satisfaction mediates the relationship between the predictors (content and service quality) and the outcome variable (use).

Originality/value

This work done is the first main endeavour to use the “Information System Success” theories to intervene and mediate the effect of content, IQ, system quality and service quality on the use of DL in the local context.

Evaluation of organizational climate factors on tax administration enterprise resource planning (ERP) system

Tax collection is an essential activity to boost the economy of all countries. Larger businesses and governments are increasingly relying on Enterprise Resource Planning (ERP) systems, which are designed to enhance the collection of revenues among other things. However, the implementation of an ERP system often affects the organizational climate by changing the manner businesses are conducted from the past both internally and externally. These changes have the tendency to impact the actions of workers throughout the transition process. Nevertheless, organization climate which is an essential variable to measure the success of ERPs is mostly underutilized. Thus in this study, we proposed an information system (IS) success model that integrates organizational climate variables namely, role clarity, teamwork and support, and, training and learning into the DeLone and McLean model to evaluate the success of a tax ERP system. The proposed model was based on a quantitative and a mixed-method case study (MM-CS). Data was gathered from a top company with many branches in Ghana through interviews, observation, focus groups, and questionnaires. Partial least squares structural equation modeling was used to examine the 555 data collected from the questionnaire. The result of the study shows that the organizational climate variables (training & learning, teamwork & support, and role clarity) were statistically significant in determining the success of a tax ERP system. Training & learning and teamwork & support also had a positive impact on service quality, user satisfaction, and individual impact.

An Integrated Success Model of Internet of Things (IoT)-Based Services in Facilities Management for Public Sector

The rapid growth of the Internet of Things (IoT) has vigorously affected government by enhancing quality and efficiency of public services. However, the application of IoT-based services in public sectors is slow, despite its benefits to citizens. Research is needed to deepen understanding of the factors that influence the successful implementation of facilities management as the Internet-of-Things-based services in public sectors. An integrated model is developed and validated to extend the DeLone and McLean IS success model by including technology readiness and other identified factors which impact the use of facilities management of IoT-based services in public sectors from the perspective of employees. An online questionnaire was developed and distributed to employees from all local authorities throughout Malaysia, and 187 usable responses were collected. The partial least squares structural equation modelling approach was used to test the model, with 90.8% of the variance in IoT-based services, suggesting an acceptable model fit with seven out of nine hypotheses were supported. Thus, the empirical evidence exerts significant effects of technology readiness towards the success of IoT-based facility management in the public sector.

Impacts of Emergency Remote Teaching on College Students Amid COVID-19 in the UAE

With the aim of appraising the impact of Emergency Remote Teaching (ERT) amidst the COVID-19 pandemic on college students, an online survey was conducted in December 2020 on a total of 588 undergraduate students at the American University of Sharjah in the United Arab Emirates. The purpose of the study was to probe into the perceptions of college students regarding their learning process and its influence on their mental health with the abrupt transition from face-to-face classes to ERT in the Spring 2020 semester. A comprehensive analysis was performed using structural equation modeling and other statistical techniques to reveal crucial results associated with the factors that have an effect on the students’ psychological distress, such as quality of courses, academic performance, and readiness for future work or studies. Findings suggest that the students’ perceived quality of courses under ERT has a significant impact on their academic performance and readiness for future work or studies. Moreover, they indicate that these factors serve as a vital mediating role in provoking psychological distress among the students. The study also shows that gender, previous history of anxiety/distress, education being at risk due to financial issues caused by COVID-19, and year of study significantly affect the students’ distress levels. In order to ensure and prioritize the well-being of college students during these turbulent times, new strategies are urgently needed to develop and enhance resilient ERT environments in higher education. The study concludes with limitations and suggestions for further research.

What research tells us about leadership styles, digital transformation and performance in state higher education?

Purpose

Considering the current importance of leadership, digital transformation and performance in the changes state higher education institutions (HEIs) have been subject to, this study aims to present an analysis of how these three concepts have been related in the literature.

Design/methodology/approach

This study proposes to study the state-of-the-art of research on leadership styles, digital transformation and performance in a single study, through a systematic literature review using two major databases, ISI Web of Science and Scopus.

Findings

The results reveal that the most common leadership style in the articles analysed is transformational; the most studied dimension of performance is the one representing teaching and learning activities; and the most discussed aspects of digital transformation are those concerning online learning systems and various types of technology. Identifying gaps in the literature, a future research agenda is formulated.

Originality/value

Amongst the theoretical implications of this study are the importance of understanding leadership styles and digital transformation for better understanding of state HEIs' performance as well as its dimensions, considering the relations found between these constructs. Therefore, there is greater theoretical advancement in the study of transformational leadership, diverse educational technologies, online teaching systems, global performance and teaching/learning.

An empirical assessment of enterprise information systems success in a developing country: the Jordanian experience

Purpose

The paper discusses the assessment of enterprise information systems (EIS) success in an organizational context is one area that is not sufficiently researched. This lack of theoretical attention prompted the authors to measure EIS success in the organizational setting of Jordanian listed firms.

Design/methodology/approach

Based on the DeLone and McLean success model and by adopting a quantitative approach, survey data were collected through questionnaires. The established questionnaires were distributed to 250 senior IT executives who use EIS and a total of 134 valid questionnaires were empirically tested via the Smart-PLS technique.

Findings

The investigation findings indicate that information and system quality had a positive impact on user satisfaction and individual impact. User satisfaction had a positive influence on individual impact, both of which eventually lead to organizational impact. The results also showed that the model used has adequate convergent and discriminant validities, as well as sufficient reliability.

Practical implications

The outcomes can help managers and practitioners more effectively understand the factors influencing EIS success among Jordanian listed firms.

Originality/value

This research paper is the very first in assessing EIS success from an organizational perspective in developing country such as Jordan.

MEASURING THE SUCCESS OF ERP VIA ORGANIZATIONAL CLIMATE CONSTRUCTS

Agencies depend on enterprise resource planning (ERP) to achieve success. However, the factors that lead to the success and use of these ERP systems have not attracted the needed attention. This study investigates the factors that influence the success and use of an ERP system. The proposed model is based on a quantitative and a mixed-method case study (MM-CS). The results show that organizational climate has a positive effect on information quality, system quality, and service quality constructs of the DeLone and McLean IS success model. The quality constructs also affect user satisfaction negatively as compared to previous studies.

Extending the Task-Technology Fit Model in an E-Collaborative English Learning Context

Superstar Learning System is a popular e-collaborative learning app especially in English reading learning. This study randomly selected 2061 out of around 2500 students in a public university. Through a large-scale questionnaire survey and some semi-structured in-depth interviews, the study collected plentiful data to extending the task-technology fit model in an e-collaborative English learning context. It is concluded that in an e-collaborative English learning context (a) system quality, information quality, service quality, compatibility, actual usage, and user satisfaction exert a significant influence on TTF at the significance level .05 in an e-collaborative English learning context; (b) TTF exerts a significant influence on performance impact at the significance level .05; and (c) significant correlations are revealed between system quality, information quality, service quality, compatibility, actual use, user satisfaction, and TTF at the significance level .05. This study initiates the model extension, which is beneficial to researchers and practitioners.

Students' Performance in Online Learning Environment: The Role of Task Technology Fit and Actual Usage of System During COVID-19

The 2019 Pandemic has forced students to take online classes, increasing their stress levels and negatively impacting their academic performance. This issue urges the development of a mechanism to make online learning more effective in this nerve-racking time. Therefore, the present study has integrated the task technology fit (TTF) model and the DeLone and McLean Model of Information Systems Success (DMISM) to address the stated issue. The data were collected from 330 and 326 students of top-ranked public and private universities of Punjab, respectively. The theoretical framework was analyzed with the help of structural equation modeling (SEM) using Analysis of Moment Structures (AMOS). The findings indicate that overall quality positively predicts performance through the mediating role of user satisfaction and TTF. The overall quality also positively elevates performance through the mediating role of user satisfaction and actual usage of the system. Moreover, perceived usefulness proved to be a moderator between overall quality and user satisfaction. Finally, the expected practical and theoretical implications have also been discussed.

Evaluating the Impact of Information System Quality on Continuance Intention Toward Cloud Financial Information System

Cloud financial accounting informatization is a product of the combination of accounting work and information technology, a current demand for financial information management in the new era, and a necessary means for enterprises to enhance their core competitiveness. Therefore, this study is based on DeLone and McLean's information system success model, and through theoretical interpretation and derivation, we integrate satisfaction and trust in relationship quality to measure the impact of users' intention to continue using the cloud financial accounting system. A sample of 289 faculty and finance staff with experience in using cloud financial accounting systems was used to test the hypotheses using Partial Least Squares (PLS). The results of the study showed that (1) user participation had a significant positive impact on satisfaction with the system quality, information quality, and service quality of the cloud financial accounting system; (2) the system quality and service quality of the cloud financial accounting system had a significant positive effect on user trust; and (3) the quality of the cloud financial accounting system had a mediating effect on intention to continue using the system through satisfaction and trust. Since there is a lack of research on the antecedents and outcomes of user linkage to cloud financial accounting systems in the literature, especially the empirical results on the mediation relationship from the perspective of relationship quality. Therefore, this study can fill above mentioned research gap and provide specific recommendations for sustainable management practice.

Influencing Factors of the Continuous Usage Intention of Consumers of Online Food Delivery Platform Based on an Information System Success Model

Online food delivery (OFD) has gradually become a development trend in the catering industry. However, the homogenization of the principal OFD platforms is becoming increasingly obvious, and there is an urgent need to explore the continuous usage intentions of consumers of the OFD platform. Unlike previous studies, this study employs DeLone and McLean's information system (IS) success model as the theoretical framework and constructs the influencing factors model of the continued usage intentions of users of the OFD platform from three aspects, namely, service, system, and information quality. Participants (N = 361) completed a questionnaire assessing their continuous usage intentions of the OFD platform, and the results were analyzed using a structural equation model (SEM). Service worker, platform quality, and content consistency have significant positive effects on the trust in the platform and satisfaction of consumers. Both the trust in the platform and satisfaction of consumers have a positive impact on their continuous usage intentions. We also explored the mediating effect of the trust in the platform and satisfaction of consumers. This study adds to the academic literature and practical implications for the continuous usage intention of consumers. This study discusses the influencing factors and formation mechanism of the continuous usage intention of consumers and proposes a model of the continuous usage intention of consumers of OFD platforms. Moreover, OFD platforms can make differentiation strategies more targeted and eliminate the dilemma of homogenization competition of OFD platforms.

The Impact of Switching Intention of Telelearning in COVID-19 Epidemic's Era: The Perspective of Push-Pull-Mooring Theory

Under the impact of COVID-19, medical telelearning education is increasingly becoming urgent to resolve the contradiction between the physical isolation of medical students and the need for on-site clinical teaching. In this study, the push-pull-mooring (PPM) theory is integrated into a comprehensive model as a conceptual PPM framework: push factors (information system quality and perceived risk), pull factors [telepresence (TP), trust, etc.], mooring factors (switching costs), and switching intention. The results show that most hypotheses were positive, but perceived risk did not influence user satisfaction significantly, and switching costs did not provide the impact on switching intention. This study provides a comprehensive empirical analysis of key factors influencing the choice of distance education by medical students through the integrated multi-model framework.

Determining Factors Affecting Acceptance of E-Learning Platforms during the COVID-19 Pandemic: Integrating Extended Technology Acceptance Model and DeLone & McLean IS Success Model

Online meeting platforms have been widely utilized during the COVID-19 pandemic due to the current shift from traditional learning. However, the acceptance of the different online meeting platforms for e-learning has been underexplored. The purpose of this study was to determine the factors for acceptance of an online learning platform among students during the COVID-19 pandemic. A total of 500 senior high school students voluntarily participated to answer constructs under the Extended Technology Acceptance Model (ETAM) and Delone and McLean IS Success Model. Several latent including user interface (UI), perceived ease of use (PEU), perceived usefulness (PU), information quality (IQ), system quality (SQ), behavioral intentions (BI), and actual use were analyzed by Structural Equation Modeling (SEM). The results indicated that PEU was found to have the greatest on actual use (AU), followed by UI and SQ towards PEU, which subsequently led to BI and AU. Finally, IQ was found to have a significant effect on PU, which led to BI and AU. The level of student acceptability considers the ease of use, user interface, system quality, information quality, leading to a positive behavioral intention for actual use. With that, it would be of best interest to consider the factors that would lead students towards accepting the platforms utilized and therefore the current education system. Moreover, this will lead to their acceptance and promote learning even with the COVID-19 pandemic. Finally, the model construct can be applied and utilized to analyze the online learning platforms in other countries.

The Influence of Information System Success and Technology Acceptance Model on Social Media Factors in Education

The current study explores the students’ behavioral intention to use social media and actual social media use in higher education, specifically the perception of their academic performance and satisfaction. The study is theoretically based on the technology acceptance model (TAM) with evaluation information system success models (ISSM). Theoretically, five independent constructs were identified as contributory to behavioral intention to use social media, and actual social media use towards the students’ satisfaction and performance impact was analyzed. A questionnaire survey based on the technology acceptance model (TAM) and information system success model (ISSM) was utilized as the key method for collecting data and disseminated to 1200 students from four public universities of Malaysia chosen through a random sampling technique. For data analysis, the SPSS and structural equation modeling (SEM-Amos) were used. Outcomes obtained from the students’ behavioral intention to use and actual social media usage indicates a positive and constructive influence on satisfaction and academic performance in higher education. In addition, both male and female students were satisfied with perceived usefulness (β = 0.095, t-value = 3.325, p < 0.001 and β = −0.045, t-value = −2.079, p < 0.001, respectively), perceived ease of use (β = 0.108, t-value = 3.29, p < 0.001 and β = 0.307, t-value = 12.365, p < 0.001, respectively), perceived technology fit (β = 0.14, t-value = 4.769, p < 0.001 and β = 0.277, t-value = 12.358, p < 0.001, respectively), information quality (β = 0.108, t-value = 3.825, p < 0.001 and β = 0.109, t-value = 5.087, p < 0.001, respectively), and system quality (β = 0.232, t-value = 7.573, p < 0.001 and β = 0.176, t-value = 7.429, p < 0.001, respectively). Therefore, we encourage students to use social media for educational purposes and encourage more interactions with peers at higher education institutions. The study’s empirical findings present strong support for the integrative association between the TAM and the ISSM in using online learning platforms to improve students’ academic achievements and satisfaction. This could help decision makers in universities, higher education institutions, and colleges to plan, evaluate, and implement online learning platforms in their institutions.

Determinants of Continuance Intention towards Banks’ Chatbot Services in Vietnam: A Necessity for Sustainable Development

To improve customer experience and achieve sustainable development, many industries, especially banking, have leveraged artificial intelligence to implement a chatbot into their customer service. By integrating DeLone and McLean’s information systems success (D&M ISS) model and the expectation confirmation model (ECM) with the factor of trust, the aim of this study was to investigate the determinants of users’ continuance intentions towards chatbot services in the context of banking in Vietnam. A total of 359 questionnaire surveys were collected from a real bank’s chatbot users and analyzed using structural equation modeling. The findings revealed that users’ continuance intentions towards the banks’ chatbot services were influenced by satisfaction, trust, and perceived usefulness, of which trust had the strongest effect. The results also indicate that information quality, system quality, service quality, and confirmation of expectations had significant effects on three drivers of continuance intention in different ways. Our study contributes to the literature by providing a more comprehensive viewpoint to understand the perceptions and reactions of chatbot users in the post-adoption stage. The results of this study also yield several key suggestions for banking service providers on how to increase their customers’ intentions to continue using chatbot services, serving as a basis for long-term and sustainable development strategies in the current digital era.

Transforming traditional CRM into social CRM: An empirical investigation in Iraqi healthcare industry

The unprecedented growth of social media usage questions the conventional customer relationship management (CRM). Social CRM strategy is a novel version of CRM empowered by social media technology that offers a new way of managing relationships with customers effectively. The aims of this study are two-fold, examining the important determinants of the successful adoption of the social CRM; and to validate the outcomes on this novel social CRM adoption in the healthcare industry. The proposed adoption model of this study derived with theoretical support from TOE, DOI and ISS theories in IS/IT, social media, and CRM literatures. This undertaking focuses on the use of structural equations modelling, to examine a theoretical social CRM (Social Customer Relationship Management) model involving 17 Iraqi hospitals, and a sample total of 428. The model's principal independent constructs are associated to the viewpoint of top management, IT staff and operational staff, regarding the grounds for social CRM adoption, the operations performed on social CRM, and the themes employed. PLS-SEM was applied for statistical analysis, to evaluate the hypnotized linkages between the variables. The results show that, social CRM adoption has a tremendous impact on healthcare organizations with its perceived benefits. According to the results attained, all constructs have significant impact on social CRM adoption except for leadership knowledge. Consequently, adoption results in remarkable outcomes that gives credence to the intervening performance of social CRM. Following an examination of the model, which included a scrutiny of its pathways, we are of the view that the concerns, past history, and potential let-downs with regards to social CRM adoption, need to be thoroughly investigated. This study is one of the few researches that provide the in-depth knowledge about the constructs impacting CRM transformation and the benefits attained. The results can guide healthcare providers during their efforts to develop effective marketing techniques, and advance the perceived benefits, particularly in the healthcare profession. Moreover, this study contributes to the IS literature by suggesting the empirically extended TOE model which advances the conventional TOE model.

Exploring the Continuous Usage Intention of Online Learning Platforms from the Perspective of Social Capital

This research explores the factors that influence students’ continuous usage intention regarding online learning platforms from the perspectives of social capital, perceived usefulness, and perceived ease of use. The questionnaire survey method was used in the research to analyze the relationship between the research variables and verify the hypothesis based on data from 248 collected valid questionnaire responses. The following results were obtained: (1) “Social interaction ties” positively affect students’ continuous usage intention. (2) “Shared language” negatively affects students’ continuous usage intention. (3) “Shared vision” positively affects students’ continuous usage intention. (4) “Perceived usefulness” positively affects students’ continuous usage intention. (5) “Perceived ease of use” positively affects students’ continuous usage intention. According to the results, students believe in useful teaching that promotes knowledge and skills. The ease of use of learning tools is key to whether they can learn successfully. Paying attention to the interaction and communication between students, so that students have a shared goal and participate in teamwork, is something that teachers must pay attention to in the course of operation. The professional vocabulary of the teaching content and the way of announcing information should avoid using difficult terminology, which is also a point to which teachers need to pay attention.

An Empirical Study on Online Learners’ Continuance Intentions in China

Online education in China is developing at a rapid pace due to its unique advantages, and its sustainable development is becoming increasingly crucial. Thus, this study attempted to understand learners’ continuance intentions in an online learning environment and examined the factors influencing online learners’ continuous retention. The research model for the influencing factors and study hypotheses were constructed based on multiple theoretical and synthesized perspectives, such as the information system success model; interactions between students, content, and instructors; and the theory of perceived value. To achieve the stated objectives, we conducted a questionnaire survey, in which 382 valid responses were collected from Chinese respondents from 32 provinces in China in April and May 2020. Furthermore, this study primarily employed Structural Equation Modeling (SEM) and Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the constructed model. The results indicate that service quality, course quality, and student–instructor interaction have indirect and positive effects on learners’ continuance intentions for online learning, while the variable of perceived value is a significant mediator for online learners’ retention and has a direct influence on their continuance intentions. Student–student interaction and student–content interaction do not have direct or indirect effects on online learners’ continuance intentions.

A Systematic Review on Flood Early Warning and Response System (FEWRS): A Deep Review and Analysis

Flood is the major natural hazard in Malaysia in terms of populations affected, area extent, frequency, social–economic damage, and flood duration. This shows the importance of providing comprehensive and effective flood mitigation management, which requires government agencies to enhance their employment performance that involves technological innovation. A flood early warning and response system (FEWRS) is essential to ensure that all stakeholders receive the right information and are provided with necessary actions and response information to avoid loss of lives and property. It should have some effective usability features and success components of its strategic information access and display; existing FEWRS fail and often do not effectively provide information on flood disasters to reduce their impacts at a local level to save the population’s lives. The measurement of information system (IS) success remains a top concern for researchers, managers, and practitioners. Therefore, this study seeks to provide a systematic overview of the most successful model of employment-related technical advancement for the management of flood disasters to improve its employees’ performance. In addition, examined factors that affect the successful implementation of flood management approaches, based on a systematic literature review among IS, show interrelationship of success factors. Findings from the literature suggest that the DeLone and McLean (D&M) model is the most widely employed model, recorded in 28 studies (39%). Further description of the 28 studies indicates that the D&M was either adopted alone or integrated with other theories. Moreover, results suggest the D&M is has been applied alone 39% of the time and has been extended 29% of the time; in total, 68% of the time, D&M has been applied either alone or extended in the information system domain. Additionally, 22% of the time it has been integrated with other theories.

Determinants of the management learning performance in ERP context

Management learning poses some challenges, firstly students should identify all administration areas and secondly, they should understand the big picture of an organizational context, by integrating all the studied areas. Enterprise Resource Planning (ERP) systems are the backbone of any organization, in terms of information management systems integration. The usage of these systems is important in terms of management in any organization, and ERP's can facilitate the management learning process. The main objectives of this study are to understand if the ERP usage supports management learning, and to identify the main determinants of individual performance. This study presents a success model of ERP usage for learning management context. The model was validated empirically through a survey answered by university management students. The results show that system quality, process quality, and training play a determinant role in the students' performance.

A Customer Loyalty Model for E-Commerce Recommendation Systems

Customer loyalty is one of the important issues of e-commerce. In the context of e-commerce recommender systems, there is small number of studies investigating this issue. The main objective of this research is to provide a customer loyalty model for e-commerce recommender systems. The proposed model is developed using Delone and McLean Information System success model and a set of factors which are identified from the literature. To test the research hypotheses of the developed model, a questionnaire survey is conducted and the data is collected from 384 customers in a B2C website. We used SPSS and SmartPLS software for descriptive statistics and path analyses and to verify the proposed model. Our analysis on the collected data showed the acceptance of all hypotheses in the model. The result of the Structural Equations Modelling showed that trust has a significant relationship with the customers’ satisfaction in the e-commerce recommendation systems. In addition, the results revealed that satisfaction with the recommended products can improve the customers’ loyalty in the B2C recommendation systems. The proposed model will help the e-commerce managers to improve their website recommendation systems and increase the sale of the products by achieving the customers’ loyalty in the online shopping websites.

An extension of Delone and McLean IS success model with self-efficacy

Purpose

While many researchers have investigated the adoption and usage of online learning in different settings, one area that has yet to be examined thoroughly, particularly in the context of online learning in Yemen, is the self-efficacy role. The purpose of this paper is to extend the Delone and McLean information system success model by incorporating a self-efficacy construct as an antecedent to user satisfaction and actual usage to predict student performance.

Design/methodology/approach

Questionnaire survey method was used to collect primary data from 448 students in nine public universities in Yemen. The six constructs in the proposed model were measured using existing scales. The data analysed using confirmatory factor analysis and structural equation modelling via AMOS.

Findings

Three main results were revealed, namely that overall quality (system, information and service quality) and self-efficacy have a positive impact on user satisfaction and actual usage; that actual usage significantly predicts user satisfaction; and that both user satisfaction and actual usage have a positive impact on student performance.

Research limitations/implications

First as the study population were students from nine public universities, it excluded academics and administrative staff. Second, the study depends on self-reported measures to test the proposed research model. This is because getting objective data about the performance was not probable due to the issue of privacy.

Practical implications

The findings of this study can be a guideline for Yemeni higher education institutions to develop efficient and effective plans to improve the performance of education institutions, and train and develop student ability to use online learning. Additionally, it highlights the areas that university management needs to concentrate on, namely information systems (IS) tools that will contribute to higher student enrolment, address the lack of infrastructure and improve the quality of education outcomes, things which represent Yemen’s main challenges in the higher education sector.

Originality/value

This paper adds to the existing literature of IS by combining overall quality, self-efficacy, actual usage and user satisfaction to predict performance impact of online learning among students in nine public universities in Yemen. Furthermore, the predictive power of the proposed model has a higher ability to explain and predict performance impact compared to those obtained from some of the previous studies.