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This study leverages social network analysis (SNA) to visualise the way students interacted with online resources and uses the data obtained from SNA as features for supervised machine learning algorithms to predict whether a student will successfully complete a course.

The exploration and visualisation of the data were first carried out to gain a better understanding of the students, the course(s) each student was enrolled in and each course’s virtual learning resources. Following this, the construction of the social network graphs was performed to depict how each student behaved online before the degree centralities were computed for each of the nodes in a social network graph. Data pre-processing to assign labels based on the final result a student obtained in a course was then performed before we trained and tested models to predict which students did or did not graduate.

The study’s findings demonstrate that the constructed predictive model has good performance, as shown by the accuracy, precision, recall and f-measure metrics. The outcomes also showed that students’ use of online resources is a crucial element that influences how well they perform in their academics.

The similarity index is as low as 9%.

The uncertainty of consumers' perceived value makes online education enterprises face great challenge in developing the pricing strategy. So the purpose of this paper is to research the pricing strategies of online education products by considering knowledge consumers' characteristics.

Considering consumer matching degree and price comparison, this study establishes the utility functions of consumers in normal sales period and discount selling period. On this basis, the research builds pricing models of the online education enterprise under the strategy of price undertaking and intertemporal pricing strategy. It further discusses the impact of consumer matching degree, consumer price sensitivity and different types of consumers on the product price and profit of online education enterprises, and reveals the optimal pricing strategy of the enterprise.

Consumer matching degree and price sensitivity coefficient have positive effects on product price and enterprise profit, but they have different effects on product demand; there are differences in the perceived value of the three types of consumers, and matching consumers are the optimal consumer group; the intertemporal pricing strategy is better than the strategy of price undertaking only when the price sensitivity coefficient is greater than a critical value.

This study enriches the literature on the pricing model of online education products and owns a practical significance to guide the online enterprise to make marketing strategies to increase profit.

This research aimed to define the factors that may impact the effectiveness of online architectural education during COVID-19 and to examine the degree of students' and instructors' satisfaction with these factors among Jordanian governmental universities. Further, the research examines the relationships/interrelationships between the degree of their satisfaction with these factors and the students' and instructors' age, gender, education level, home size, and family size.

Different research methods were used to achieve the research purposes, including semi-structured interviews, online questionnaires and reviewing recent literature. This research used descriptive statistics and Pearson product-moment correlation coefficient (Pearson r) to analyze the data.

This research found that online architectural education during COVID-19 was stressful. It was ineffective in teaching practical architectural courses like design and negatively affected the architectural learning process and outcomes. In contrast, the online teaching of architectural theoretical courses was reliable and convenient if the students and instructors had intentional, sufficient technological and appropriate resources. Online architectural education negatively affected the students' design ability and skills, peer review, intended learning outcomes (ILOs) achievements, the quality of feedback, workload, interaction mode, participation, collaboration, productivity and increased cheating on online exams. The home environment was unsuitable for online architectural education. Family interventions, privacy, home size and family size significantly influence online architectural education's effectiveness.

Students' and instructors' satisfaction determines the continuity of using online teaching mode, which depends on information quality, system quality, service quality, perceived ease of use, perceived usefulness, achieved intended learning outcomes, cognitive absorption, skills, motivation, engagement, implementing resources and strategies and positive emotions as hope and enjoyment. Students' and instructors' satisfaction reflects how they view their learning experience, which is crucial in assessing the effectiveness of online education quality that focuses on the context, input, process and product, which is still not clearly understood, particularly for developing countries.

Due to the coronavirus 2019 (COVID-19) pandemic, primary and secondary schools worldwide are deploying online teaching/learning practices, fostering and thus innovation practices. The purpose of this study is to determine the degree to which practices reflecting educational innovation are implemented in the Greek public primary and secondary schools operating under conditions characterized by the COVID-19 pandemic. Determining the relationship among these educational innovation practices is also an aim of the present study.

A research study was conducted in the Greek public primary and secondary schools. 522 teachers fully completed a structured questionnaire. Descriptive statistics, exploratory factor analysis and structural equation modeling were applied to analyze the data.

The findings reveal that administration-related innovation practices, teaching-related innovation practices and online teaching/learning practices are implemented to some extent in primary and secondary schools in Greece, but there is still scope for continued development. The online teaching/learning practices set the foundations for further developing a culture of fully adopting other educational innovation practices in these schools to improve education.

Limited research concerning educational innovation practices has focused on primary and secondary schools. The need for more studies on teaching and learning innovations that have resulted from the COVID-19 crisis is highlighted by the literature. The results of this study support the fact that online teaching/learning implemented in primary and secondary schools is positively associated with administration-related and teaching-related innovation practices, concluding that this forced change in the educational process can act as a catalyst for more changes and innovative actions.

The emergence of internet-based business models has given rise to online higher education institutions (OHEIs) that offer their undergraduate and graduate degree programs exclusively online with minimal physical presence. Research on OHEIs discusses the need for external legitimacy and resource acquisition, often ignoring the role of quality among these institutions. Hence, this study aims to investigate the role of digital quality of education on OHEIs’ survival.

Guided by four different inter-disciplinary theories, a conceptual framework is offered based on a comprehensive literature review.

The role of digital quality of education in improving the survival and strategic competitiveness of institutions in the US online higher education industry is highlighted.

This conceptual paper highlights how the digital quality of education becomes increasingly important over the life cycle of OHEIs.

The proposed framework suggests that despite the competition provided by traditional and well-entrenched players, OHEIs can improve their survival and competitiveness if they invest strategically in the digital quality of education.

This study offers an overarching conceptual framework developed through an integration of multiple theoretical perspectives and grounded in the US online higher education industry.

Despite the fact that online is predicted to become the major channel for luxury purchases by 2025, there is scant literature related to online luxury buying behavior, mainly in the context of Generation Y (Gen Y) consumers in emerging societies like India. Therefore, the primary objective of this study is to empirically test the theoretical framework developed to assess the factors influencing luxury consumers' online shopping behavior based on the stimulus-organism-response model and technology acceptance model (TAM).

Data were collected from 233 Gen Y luxury consumers in India via purposive sampling method. The study used AMOS and PROCESS SPSS Macro to establish the overall fit of the measurement model and examine the hypotheses.

The findings revealed that perceived usefulness of buying online, perceived ease of buying online, economic benefit and webstore quality have significant impact on online luxury purchase intention. The perceived experiential values and perceived functional values mediate the influence of antecedent variables on online luxury purchase intention. Bandwagon luxury consumption behavior (BLCB) moderates the relationship between perceived functional values and online purchase intention.

This is one of the pioneer studies conducted to understand the influence of BLCB on value–intention relationship in online space among Gen Y luxury consumers. This study will help luxury retailers to create targeted strategies for this segment.

This study aims to investigate the determinant factors as barriers and facilitators of the B2B degree of digital use and customer–brand engagement in travel services by applying technology and behavioral theories.

A face-to-face survey was administered to retail travel agencies offering offline and online services (N = 301). Structural equation modeling using the partial least square method was conducted using Smart PLS 3.0 software to examine the proposed hypotheses in the research model.

The results revealed that the integrated composite model significantly predicts the B2B degree of digital use and brand engagement. The study established that facilitators had positive effects, and barriers negatively impacted the degree of digital use, which positively impacted brand engagement. However, the facilitator perceived cost and barrier lack of critical mass showed the opposite influence. The effects of facilitator customer pressure and barriers, information and communication technology infrastructure problems and security risks were insignificant. The results also established that the buyer firm size moderated the relationships between barriers and facilitators with the degree of digital use.

This study combined technology and behavioral theories to explain the buyer–seller relationship. The expanded framework contributed to understanding B2B digital usages and brand engagement in the seller–intermediary relationship. This study conceptualized firm size as a contingency variable and established its moderating effect. The study defined cost as a formative construct and an organizational factor. The study suggested practical implications for travel agencies and online travel service sellers.

The study investigates the experiences of undergraduate students in using online learning platforms to study Accounting-related courses during the COVID-19 pandemic.

The study uses qualitative research approach and 89 undergraduate Accounting students from University of Professional Studies, Accra (UPSA) were purposively interviewed using semi-structured interview guide, observation and documentary evidence to achieve triangulation of data and results.

The study discovers that due to the Covid pandemic, the online Accounting learning system has a relative advantage over the physical classroom learning as the online pedagogy ensures that the students are safe and do not contract the virus. The findings further indicate that the university's engagement framework includes three units: engaging students with content on the university's Learning Management System (LMS), engaging students with their peers via group course WhatsApp platform and Zoom/Google Meet lectures, and engaging students with their instructors via the LMS, Zoom/Google Meet, and Group WhatsApp. Each unit is based on research-based best practices and strategies for online education such as the use of media (videos) to augment written course content and to improve student-to-content engagement, positive cognitive, collaborative, behavioural and emotional engagement of students. The university's strategies also encourage student-to-student involvement, as well as assessment and feedback. Regarding behavioural and emotional engagements, the study discovered that some lecturers' attitudes toward students coupled with insufficient administrative support influenced students to develop negative reactions to the use of online learning platforms for Accounting education.

This paper has the potential to inform and improve implementation of online Accounting education in developing countries where the digital divide is staggering and digital inclusion and infrastructure for online education are at a precarious stage that cannot be remedied overnight.

The new context of Accounting education enables an increase in student enrolment because it does not require students to travel to or stay in a hostel for an extended period of time in order to earn an Accounting degree.

This study contributes to the Accounting education literature on emerging economies by providing new evidence of perception differences between higher education institutions and students. Education providers in emerging economies frequently adopt Western modes of online education without making structural adjustments. By empirically exploring students' opinions, this study challenges these managerial perceptions, and the findings will assist regulators and policymakers in making appropriate changes.

This research aims to understand how satisfied students were with their online learning experience and how actively engaged they were in their studies.

To study the breadth and depth of students' experiences and fully address the research aims, the researchers utilized a mixed method. Through a survey questionnaire with both closed-ended and open-ended questions, student responses were gathered. On a five-point Likert scale, the closed-ended questions were co-constructed. The research participants included students attending Pakistan's private university in Karachi. Participants from all programs were the authors' focus (i.e. undergraduate and graduate). A total of 552 students completed the survey questionnaire.

The study reveals students' level of satisfaction with their online encounters. Contextual restrictions, such as power outages, bad internet, a lack of a private place and administrative problems, make it difficult to access and connect during learning sessions. Additionally, the student's perception of online learning as being more secure and safe in terms of their physical safety was an intriguing finding. They also see the integration of online and in-person learning as advantageous because it might reduce travel expenses and time while also giving them access to independent study resources. Given its many benefits, this research supports the use of online learning in higher education. Online education promotes a healthy mix of teacher- and student-centered instruction.

Moreover, the findings indicate that effective non-verbal communication occurs when students interact with a teacher and colleague face-to-face. In a face-to-face teaching situation, good body language may inspire, engage and motivate students. Better learning outcomes result from being able to interpret people's body language, whether it be eye contact or posture, and alter the topic and approach. Keeping in view the recent nature of the coronavirus disease 2019 (COVID-19) pandemic, no research has been carried out on this topic to date or on such a wide-scale transition to online learning, specifically in the context of higher education in Pakistan (Dincer, 2018). This research is unique in its kind as it focuses on the impact of online learning on the affective domain as well.

Given the contextual concerns, teachers must find alternative educational insights that will enable students to reduce listening demands, improve self-learning and promote engagement.

Therefore, in the authors' context, it is a unique finding that students felt socially isolated. While numerous studies have examined anxiety, still there is still a dearth of literature regarding stress factors (Dincer, 2018). The current study provided substantial information on the impact of online learning on students' stress levels, and the consequence is that they were strained out because they felt socially isolated. Additionally, these findings are in alignment with the qualitative data showing a problem of student isolation and a lack of engagement. Since the face-to-face mode had provided them with the time and space, they were able to engage in educational socialization outside the boundaries of the classroom, such as casual conversations during breaks, gatherings at coffee shops and working on group projects at the library.

This research was conducted in the context of Pakistan.

In an era where complex technological advances increasingly govern service delivery, it is incumbent on service firms to pioneer innovative strategies to sustain customer engagement and cultivate loyalty. This conceptual paper examines the transformative potential of artificial intelligence (AI) in the realm of online customer communities, with a particular focus on its creation, management and enhancement facets. The authors explore how AI can revolutionize the dynamics of customer interaction, feedback mechanisms and overall engagement within the service industry.

This conceptual paper draws from marketing and management literature focusing on customer communities and AI in service and customer engagement contexts with a robust future research agenda.

A classification of online customer community engagement is provided along with a conceptual framework to guide our understanding of the integration of AI into online customer communities.

This exploration underscores the imperative for service firms to embrace AI-driven approaches to online customer community management, not only as a means to optimize their operations but as a vital strategy to stay competitive in the ever-evolving digital landscape. This paper examines the novel combination of AI with online customer communities and provides the framework in the form of an input-process-output (IPO) model for future research into this integration.