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This study aims to identify the most significant factors that influence acceptance of e-learning in India. As e-learning has gained popularity in the wake of the COVID-19 pandemic and continues to be one of the most sustainable methods of education, it is pertinent to examine learners' perception towards its acceptance. There is limited literature available on this subject in India, especially factoring in impact of the pandemic.

This study empirically analyses data of 331 adult e-learners in India, who have enrolled for one of the following e-learning formats: higher education, private coaching, test preparation, re-skilling and online certifications, corporate training and hobby and language-related learning. Their perception is examined on the basis of a model developed using the Unified Theory of Acceptance and Use of Technology model. Data are analysed through structural equation modelling using SPSS and AMOS statistical tools.

The result of the study shows that Infrastructure Dependability, Effectiveness of Design and Content of Courses and Student's Competency with Computers are the top three factors impacting e-learning acceptance in India.

This study makes several theoretical contributions. Additionally, research findings and recommendations will facilitate education providers, corporates in the education industry and policymakers to focus on the significant areas for enhancing the acceptance of e-learning.

This study identifies and confirms important factors that influence e-learning acceptance and suggests opportunities for further in-depth research and analysis.

Students' satisfaction with e-learning outcomes is a vital component in determining the adoption of e-learning systems. Understanding the antecedent factors impacting students' satisfaction with e-learning outcomes helps decision-makers at the higher education to take the necessary actions to enhance the quality of students' performance, especially during the exceptional times, such as the COVID-19 pandemic.

This paper aims to determine and analyse the antecedent factors influencing students' satisfaction with e-learning outcomes during the pandemic. Structural equation modelling (SEM) is used to analysis a proposed research model.

The SEM results show that digital communities in e-learning, information technology (quality and accessibility) and the online course design quality directly influence students' satisfaction with e-learning outcomes. More interestingly, results show that the COVID-19-related factors (1) awareness of the COVID-19, (2) perceived challenges (negatively) and (3) the educational institutions' preparedness also influence e-learning outcomes.

The results suggest that the decision-makers at the educational institutions should consider adopting a blended learning system approach to deliver e-learning during the emergency, such as the COVID-19 outbreak situation.

This is one of the first studies in higher education context, which seek to identify the antecedent factors that influence students' satisfaction with e-learning outcomes during the COVID-19 pandemic.

The field of website quality evaluation attracts the interest of a range of disciplines, each bringing its own particular perspective to bear. This study aims to identify the main characteristics – methods, techniques and tools – of the instruments of evaluation described in this literature, with a specific concern for the factors analysed, and based on these, a multipurpose model is proposed for the development of new comprehensive instruments.

Following a systematic bibliographic review, 305 publications on website quality are examined, the field's leading authors, their disciplines of origin and the sectors to which the websites being assessed belong are identified, and the methods they employ characterised.

Evaluations of website quality tend to be conducted with one of three primary focuses: strategic, functional or experiential. The technique of expert analysis predominates over user studies and most of the instruments examined classify the characteristics to be evaluated – for example, usability and content – into factors that operate at different levels, albeit that there is little agreement on the names used in referring to them.

Based on the factors detected in the 50 most cited works, a model is developed that classifies these factors into 13 dimensions and more than 120 general parameters. The resulting model provides a comprehensive evaluation framework and constitutes an initial step towards a shared conceptualization of the discipline of website quality.

This paper aims to explore how the Italian wine industry discloses corporate social responsibility (CSR) practices and quality certifications and the corresponding determinants via websites. The study also aims to investigate the relationship between CSR practices and financial performance. The information consistency between the quality certificates reported on corporate websites and official database statements is also explored. Lastly, the paper investigates how the relationship between the size of wineries and CSR disclosure changes according to firms' geographic location.

This paper analyses CSR corporate communication via the websites of a sample of Italian wineries by adjusting the theoretical framework developed by Amran (2012) to the wine sector's peculiarities. Moreover, a cross-certification analysis and a moderation analysis were performed to fulfil the purpose of the research.

The analysis revealed the extensive use of CSR disclosure via websites. It was found that company size positively affects CSR disclosure and Quality Certification Disclosure (QCD), while geographic location slightly moderates the relationship between the two variables. In addition, a negative relationship between CSR disclosure and corporate financial performance and its reverse causality emerged. Moreover, for most wineries, information consistency between the quality certificates reported on corporate websites and official database statements was observed.

The study's main limitation is that the search process was performed during lockdown. Therefore, the examined issues could change in the near future due to the shift in priorities that the COVID-19 pandemic is determining.

The results can help managers implement CSR disclosure and QCD practices to enhance stakeholder legitimacy and enable their companies to compete in strongly competitive international markets.

The paper represents the first study investigating online QCD and its consistency in the Italian wine sector.

Archaeological sites and monuments, by their nature, do not allow major interventions to their structure, in order to abolish the obstacles that make them inaccessible. Any interventions should be made sensitively and carefully, so as not to alter the monument’s character or damage it, either visually or structurally. The project “PROSPELASIS” focused on creating a methodology for facing monuments’ accessibility and perceptibility problems for people with disabilities and testing its application at Byzantine monuments of Thessaloniki. The paper aims to discuss these issues.

The creation of the proposed methodology was based on both research in relevant bibliography and the application of a form of “Delphi method” among involved actors. In this process persons specialized in accessibility and disability issues, persons with disability themselves, as well as employees of the 9th Ephorate of Byzantine Antiquities, archaeologists and experts in monuments’ restoration, participated.

The possible sites of interest for visitors with disabilities examined amount to 20 monuments which document the evolution of Byzantine architecture and are included in UNESCO’s World Heritage List. In six major monuments (Acheiropoietos, Saint Demetrios, Saint Nicholaos Orphanos, Hagia Sofia, Rotunda, Heptapyrgion Fortress) significant accessibility improvements were realized in order to verify the methodology proposed.

A practical tool for improving monuments’ accessibility has been developed, open for use by any interested body.

The application of the methodology developed is beneficial for the promotion of the equality and non-discrimination principles.

The successful implementation of the proposed methodology and the importance that accessibility improvement of monumental sites has in the attraction of visitors with restricted mobility and perceptibility and the development of accessible tourism, constitute the results of this project not only pertinent to Thessaloniki or Greece, but worthy of a wider application.

The current predominant delivery format resulting from digitization is PDF, which is not appropriate for the blind, partially sighted and people who read on mobile devices. To meet the needs of both communities, as well as broader ones, alternative file formats are required. With the findings of the eBooks-On-Demand-Network Opening Publications for European Netizens project research, this study aims to improve access to digitized content for these communities.

In 2022, the authors conducted research on the digitization experiences of 13 EODOPEN partners at their organizations. The authors distributed the same sample of scans in English with different characteristics, and in accordance with Web content accessibility guidelines, the authors created 24 criteria to analyze their digitization workflows, output formats and optical character recognition (OCR) quality.

In this contribution, the authors present the results of a trial implementation among EODOPEN partners regarding their digitization workflows, used delivery file formats and the resulting quality of OCR results, depending on the type of digitization output file format. It was shown that partners using the OCR tool ABBYY FineReader Professional and producing scanning outputs in tagged PDF and PDF/UA formats achieved better results according to set criteria.

The trial implementations were limited to 13 project partners’ organizations only.

This research paper can be a valuable contribution to the field of massive digitization practices, particularly in terms of improving the accessibility of the output delivery file formats.

The purpose of this paper is to evaluate the implementation of mobile learning in a nursing course at The Open University of Hong Kong, and identify the potentials of, and constraints on, introducing mobile technologies in the instructional design of nursing education. The paper also considers the pedagogical implications of the expansion of mobile learning in the field of nursing.

The research adopts a qualitative approach to obtain the students’ and teacher’s experiences, opinions, and expectations on mobile learning. Two focus groups with 20 student participants were conducted and an in-depth interview with the course teacher was arranged. The Framework for the Rational Analysis of Mobile Education (FRAME) model was used as the research framework to support data collection and analysis.

The aspects of device usability, interaction learning, and social technology as suggested in the FRAME model were partly fulfilled in the study. Mobile technology enhanced the portability and accessibility of learning information, and networking tools facilitated interaction among students and between students and the teacher. However, the readability of text was limited due to constraints on the user interface and screen size, and concerns over the reliability of learning content were also raised, given the abundance of unfiltered online information. The difficulty in updating the content of multimedia materials and sourcing videos of an appropriate level, together with the problem of device networking, also limited the usefulness of mobile learning. Attention should also be paid to the perceptual differences between students and the teacher on the nature and functions of mobile learning.

This empirical study provides a detailed evaluation of the delivery of mobile learning in a nursing course. The findings reveal the strengths and limitations of using mobile technologies to support the nursing education.

Access to culture is a fundamental right of people with disabilities and a significant aspect in the development of accessible tourism. A visit to a monument provides an authentic experience which cannot be substituted by any representation. However, any interventions to improve accessibility should be made carefully, so as not to alter the monument’s character, or damage it visually or structurally. The paper aims to discuss these issues.

A theoretical approach model was defined in the PROSPELASIS project for the improvement of accessibility in monuments which was applied in Byzantine monuments of Thessaloniki. This approach contains the following steps: evaluation of existing accessibility level; definition of alternative solutions; creation of final studies, approval by archaeological authorities and implementation of interventions.

In six major Byzantine monuments significant improvements were realized which include: installation of two lifts and creation of a new staircase at Acheiropoietos; creation of a metal bridge, a new staircase and installation of a lift at Rotunda; opening of the secondary gate and creation of a ramp at the Heptapyrgion fortress; creation of an accessible toilet at the Saint Demetrios church; installation in the six monuments of a WiFi system providing text and audible information as well as information in Greek and International Sign Language; creation of two tactile models; creation of a “cultural route” connecting three major Byzantine monuments.

For the first time, to the knowledge, a set of interventions has been realized in Byzantine monuments focusing on various categories of people with disabilities, i.e. motor, visual, hearing and cognitive.

This research proposes to organise and distil this massive amount of data, making it easier to understand. Using data mining, machine learning techniques and visual approaches, researchers and managers can extract valuable insights (on guests' preferences) and convert them into strategic thinking based on exploration and predictive analysis. Consequently, this research aims to assist hotel managers in making informed decisions, thus improving the overall guest experience and increasing competitiveness.

This research employs natural language processing techniques, data visualisation proposals and machine learning methodologies to analyse unstructured guest service experience content. In particular, this research (1) applies data mining to evaluate the role and significance of critical terms and semantic structures in hotel assessments; (2) identifies salient tokens to depict guests' narratives based on term frequency and the information quantity they convey; and (3) tackles the challenge of managing extensive document repositories through automated identification of latent topics in reviews by using machine learning methods for semantic grouping and pattern visualisation.

This study’s findings (1) aim to identify critical features and topics that guests highlight during their hotel stays, (2) visually explore the relationships between these features and differences among diverse types of travellers through online hotel reviews and (3) determine predictive power. Their implications are crucial for the hospitality domain, as they provide real-time insights into guests' perceptions and business performance and are essential for making informed decisions and staying competitive.

This research seeks to minimise the cognitive processing costs of the enormous amount of content published by the user through a better organisation of hotel service reviews and their visualisation. Likewise, this research aims to propose a methodology and method available to tourism organisations to obtain truly useable knowledge in the design of the hotel offer and its value propositions.