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The purpose of this paper is to provide insights into the association between physical and virtual trade fairs under the conceptual lens of engagement platforms. The authors build on the idea of business trade fairs (i.e. physical and/or virtual customer touch points) as learning and engagement platforms in service ecosystems.

The empirical study combines qualitative interviews (n = 16) with trade fair organizers, exhibitors and visitors and a survey (n = 263) comprising open-ended questions administrated to visitors of an international trade fair.

Findings highlighted the general role that trade fairs have in facilitating companies’ interactions with existing and potential customers. The trade fair develops in physical and virtual platforms, where companies advance business relationships and generate learning experiences and customer engagement. Participants look for solutions to problems and frequently innovation is a consequence of the engagement and learning processes. Yet, while the physical trade fair is instrumental for human personal interaction, namely, to establish informal networks of contacts and face-to-face interactions, virtual trade fairs are highlighted as a catalyst to foster interactivity and connectivity before and after the physical trade fair.

The study endures limitations that may be addressed by future research. For example, studies in similar contexts and in other settings (e.g. different industries) are warranted.

The study offers wide-ranging implications for the principal agents from the trade fair industry: trade fair organizers, exhibitors and visitors.

This research constitutes a preliminary attempt to understand the association between physical and virtual trade fairs and contributes to the discourses on customer engagement and the underlying notion of service ecosystems in the trade fair environment. In particular, the study looks at the role and connections that each platform plays for organizers and participants providing important insights into improving physical and virtual trade fair participation strategies.

The purpose of this study is to describe university students’ motivations for using Facebook as an informal learning tool and explore the key barriers that may inhibit learning on the social media platform.

A case study approach was adopted in this study. Participants were 82 university students who participated in “e-Tutor” – an informal learning activity, conducted through Facebook. Focus group interviews were conducted, and students’ interactions on Facebook were also analysed to understand their motives for using the social media platform for learning. The uses and gratifications theory was used to explore student motivations for participating in the learning activity.

Results suggest that students perceived Facebook as a potential tool for learning and identified multiple motivating factors for their participation that included information seeking, convenience, connectedness, entertainment and reward seeking. Results also show that time constraints, social anxiety and cultural issues may inhibit learners’ active participation on social media platforms such as Facebook.

This study outlines an approach to use readily available and low-cost technological tools in learning design and provides some insights for teachers to design ubiquitous and personalised learning environments for students using such technologies, particularly social media. Specifically, Facebook offered a way to engage students in informal learning which can supplement students’ formal learning trajectories at university. While the uses and gratifications students sought through Facebook had an overall positive effect on their participation in e-Tutor activity, certain barriers can impede student active participation in learning environments on social media sites such as Facebook.

The purpose of this study is to propose the research model integrating the expectation-confirmation model with the views of learning engagement (LE) and extending DeLone and McLean information systems (IS) success model to examine whether quality determinants as antecedents to students' beliefs can influence students' continuance intention of massive open online courses (MOOCs).

Sample data for this study were collected from students enrolled in a comprehensive university in Taiwan. A total of 600 questionnaires were distributed, and 363 (60.5%) useable questionnaires were analyzed using structural equation modeling in this study.

This study proved that students' perceived knowledge quality, system quality, interface design quality, learner–instructor interaction quality, and collaboration quality all positively caused students' perceived usefulness, confirmation and LE in MOOCs, which jointly explained students' satisfaction with MOOCs and subsequently resulted in students' continuance intention of MOOCs.

This study fully evaluates IS-related and interaction-related quality determinants via an understanding of students' state of LE in explaining students' continuance intention of MOOCs that is difficult to expound with only their utilitarian perception of MOOCs. Hence, this study contributes to deep insights into an all-round quality evaluation in the field of MOOCs continuance intention and takes extrinsic and intrinsic motivators into account in the theoretical development of MOOCs continuance intention to acquire a more comprehensive and robust analysis.

Measuring internal response of online learning is seen as fundamental to absorptive capacity which stimulates knowledge assimilation. However, the evaluation of practice and research of validated instruments that could effectively measure online learning response behavior is limited. Thus, in this study, a new instrument was designed based on literature to determine the structural variables that exist in the online learning response behavior.

A structured survey was designed and distributed to 410 Malaysian students enrolled in higher-education institutions. The questionnaire has 38 items, all of which were scored using a seven-point likert scale. To begin with, exploratory factor analysis with three types of extraction methods (i.e. principal component, principal axis factoring and maximum likelihood) was used as the method for comparing the outcomes of each extraction method's grouping variables by constantly using a varimax rotation method. In the second phase, reliability analysis was performed to determine the reliability level of the grouping variables, and finally, correlation analysis was performed to determine the discriminant nomological validity of the grouping variables.

The findings revealed that nine grouping variables were retrieved, with all items having a good value of factor loading and communalities, as well as an adequate degree of reliability. These extracted variables have good discriminant and nomological validity, as evidenced by correlation analysis, which confirmed that the directions of relationships among the extracted dimensions follow the expected theory (i.e. positive direction) and the correlation coefficient is less than 0.70.

This study proposes a comprehensive set of questionnaires that measure the student's online learning response behavior. These questionnaires have been developed on the basis of an extensive literature review and have undergone a rigorous process of validity and reliability for the purpose of enhancing students' online learning response behavior.

This study's findings will aid academic practitioners in assessing the online learning response behavior of students, as well as enhancing the questionnaire's boost factor when administered in an online learning environment.

This study aims to identify critical online teaching effectiveness factors from instructors’ perspectives and experiences during COVID-19.

This study used a qualitative phenomenology approach. In addition, the research used a snowball sample to identify faculty in the engineering and engineering technology fields with experience in online teaching and learning. All interviews were conducted online by the researchers. The interview questions were based on findings in the current literature. Further, the questions were open-ended.

The analysis identified eight major themes that impact online teaching effectiveness: class recordings; course organization; collaboration; engagement; exam, assignment and quiz grades; games; valuable course content; and student timely feedback and response.

The study was not designed to be generalizable to the entire population of professors who teach online classes but to gain insights from faculty who taught online courses during the COVID-19 pandemic.

Faculty can use the factors identified for online teaching effectiveness to enhance their course design and delivery while teaching online or blended courses.

This research provides insights into factors that impact online teaching effectiveness during the COVID-19 pandemic.

The purpose of this paper is to describe the impact of the DHL Express CIS Foundation program, a globally consistent learning program, which was developed and delivered to 100,000 employees in 220 countries in 42 languages in less than 18 months. The intention was to motivate, invigorate and inspire those employees to be the best that they could be,

Results‐driven learning and development agency NKD Learning created a breakthrough training program designed to invigorate employee engagement, instill a truly customer‐centric mindset and deliver measurable success to international company, DHL Express. The blended learning approach of the bespoke Certified International Specialist (CIS) Foundation Program included a one and a half day experiential event, supported by stand‐alone, hour‐long interactive training modules and painstakingly crafted trainer scripts – which could be easily adapted and translated into 42 languages and still be effective.

In less than 18 months, all 100,000 DHL Express employees had been through the CIS Foundation and all project deliverables had been achieved to agreed quality, cost and timeline standards. End of program feedback scores averaged 5.8 out of 6. Key employee opinion scores significantly exceeded the agreed targets for Strategy, Employee Engagement, and Learning & Development. The actual scores showed year‐on‐year increases of between 7 and 11 percent, compared to the 1 to 3 percent target increases.

The DHL Express CIS Foundation module course incorporates innovative learning methodologies and approaches, cutting‐edge film and animation support messaging, and hi‐impact learning materials.

The purpose of this study is to analyze the impact of teachers’ performance expectancy, teachers’ effort expectancy, teachers’ performance anxiety, teachers’ engagement, perceived student engagement, teachers’ digital competence, teachers’ normalization ease and perceived organizational support as predictors of teachers’ satisfaction with online teaching-learning, especially during a pandemic in the context of hospitality, tourism and travel education.

Conceptually, this study is grounded in the normalization process theory and examines teachers’ satisfaction by applying the unified theory of acceptance and use of technology model. To test the proposed model, 374 complete survey forms were received for data analysis from teachers engaged with higher education institutes offering courses in the field of hospitality, travel and tourism. Minor modifications were made to the survey instrument based on inputs received after a pilot study.

The model was tested using confirmatory factor analysis and structural equation modeling. Of the eight constructs predicting teachers’ satisfaction in the online teaching-learning environment, two constructs, that is, teachers’ effort expectancy and teachers’ digital competence, were found to have an insignificant relationship. This finding hints at the emergence of a “new normal.”

This study contributes to the literature by presenting and validating a theory-driven framework that accentuates the factors influencing online teaching during the outbreak of a pandemic. This study further extends the unified theory of acceptance and integrates it with the normalization process theory to test and validate the model in the unique context of hospitality education which is considered to be highly practice oriented.

The COVID-19 pandemic compelled educational institutions to shift to online learning modes. This is unprecedented for students and teachers of hospitality, travel and tourism, especially in a developing country like India, and it has brought with it a new set of challenges and opportunities. With the extension of the pandemic-induced lockdown in educational institutions, teachers – and other stakeholders – must adapt to this new normal of reliance on remote education.

Following the COVID-19 pandemic, most higher education institutes shifted to online learning as the sole alternative to continuing education while mitigating the risks imposed by the pandemic. This has raised several concerns regarding students’ learning experience, satisfaction and academic achievement, particularly in countries where students have restrained technological resources (i.e. developing nations). The current research aims to investigate the key factors influencing students’ attitudes, satisfaction and academic achievement among university students in an emerging market context (i.e. Morocco). The moderating effect of students’ motivation to study online was also scrutinized.

The authors propose an integrated conceptual framework that combines the technology acceptance model (TAM) with the outcomes of prior literature related to online learning. Based on data collected from 850 Moroccan university students, the authors empirically tested the conceptual model using a partial least squares (PLS) estimation.

First, attitude toward online learning and satisfaction positively impact university students’ academic achievement; at the same time, attitude positively impacts students’ satisfaction with online learning. Second, students’ satisfaction and attitude toward online learning were found to be mainly influenced by instructor performance, ease of use of the online learning platform, information quality, interactivity and perceived usefulness (PU). Finally, student motivation acts as a moderator, e.g. students with higher motivation to learn online are more likely to develop a favorable attitude toward online learning and can, therefore, accomplish better academic performance.

The current study makes a considerable contribution to the literature by contributing to the on-going debate about the potentials and challenges of online learning, particularly in an emerging country where education remains a considerable challenge. The study findings can help higher education institutes gauge the quality of online education programs and design efficient strategies to develop high-quality online learning for students. Our findings have implications not only for educational institutions and instructors in developing markets but also for the vendors of online course delivery software.

This study proposes a literature review and, based on the findings, the authors develop a conceptual framework, attempting to explain how technology may influence visitor behavior and eventually trade show performance.

The present research explores the role of visitors in the trade show context. The analysis specifically focuses on the variables that influence visitors’ participation at business-to-business trade shows and how their satisfaction and perception can be related to exhibition performance. The authors also take into consideration technological trends that prior to COVID-19 pandemics were slowly emerging in the trade show industry.

The findings highlight a continuity between pre-, at and postexhibition phases. Visitors’ behavior represents a signal of how a trade show is perceived as postexhibition purchases and next visit emerge as signals of an exhibition evaluation in relation to visitors’ perception. Besides being urgent tools for the continuity of the sector due to the pandemics, emerging technological trends can be key elements in understanding visitors’ behavior and in boosting their interest and loyalty toward trade shows.

The paper proposes a conceptual model including top notch and innovative technological trends to improve the understandment of visitors’ behavior. Both practitioners in companies and academics might find the study useful, given the digital uplift generated by the pandemics.

The society faces growing global challenges in terms of sustainable development. A key factor in preparing society for these challenges is education for sustainable development (ESD). This study aims to discuss how the combination of research-based learning (RBL) and digitalization can be used for successful ESD in higher education. The paper introduces the conceptual development of technical and didactical implications for an online learning format, which combines the opportunities of RBL and digitalization to facilitate the distribution of ESD. Furthermore, corresponding evaluation results are presented.

A framework, based on key dimensions described by the relevant literature, was applied for the empirical approach to evaluate students’ learning experiences. On this basis, the differences in the students’ learning experiences between the RBL-format and conventional digital learning format (self-directed studies, learning videos and electronic examination) were measured.

The performed two-sample t-test indicates statistical significant differences in all dimensions. On average, students (N = 226) using the RBL-based format report higher ratings for each examined dimension than students who experienced a conventional format. In summary, this indicates an overall corresponding tendency in students’ learning experience between the examined learning formats.

The presented examination offers empirically based insights on how a digital format can combine RBL and ESD to enhance students’ learning experiences. Moreover, theoretical contributions are provided regarding the future development of digital learning formats to further integrate ESD in higher education.