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The current research delves into how different cues in messages (such as argument quality, usefulness and informativeness) and cues related to the source (such as credibility and expertise) contribute to the perceived credibility of electronic word-of-mouth (eWOM). The investigation also explores whether source cues influence the overall impact of message cues.

This study synthesizes findings from 100 previous empirical works through the application of meta-analysis.

The outcomes affirm the presence of both systematic and heuristic processing, the additive effects of both message and source cues and the bias effects of source cues. Moreover, the study identifies a connection between eWOM credibility and behavioral intention. Expanding on this, the research discovers that users’ tendency to avoid uncertainty moderates the impact of message and source cues on their judgment of eWoM credibility.

The research contributes to the eWOM literature by providing a heuristic-systematic model of eWoM credibility judgments. It provides new insights for online sellers, who can benefit from eWoM by fostering potential buyers' behavioral intention to purchase.

We model the relation between excess returns, fund size and industry size for active equity funds.

We study and contrast four markets – global equities, emerging markets, Australia core and Australia small caps – and use the results to investigate the extent to which funds deviate from estimated capacity.

We uncover a significantly negative relation between returns and both fund size and industry size across all markets. The estimated percentage of funds operating above versus below capacity varies both across markets and over time, as does the role played by fund size versus industry size. We find a greater prevalence of funds operating significantly below than above capacity, in contrast to findings for US equity mutual funds. Significant deviations from estimated capacity persist for a median of between two and six quarters.

Our main contribution is to show that the dynamics governing deviations from capacity for active equity funds vary across markets.

This research investigates the effect of accessibility to points of tourist interest (buffer) and direct and indirect spatial spillover effects of agglomeration economies on tourism industry revenues in Spain.

Data were collected from the Bureau van Dijk's (BvD) Orbis global database. The data were analysed using a spatial econometric model and the Cobb–Douglas production function.

This study reveals that hotels located inside the buffer zone of points of tourist interest achieve better economic outcomes than hotels located outside the buffer. Furthermore, the results show that there is a direct and indirect spatial spillover effect in the hotel industry.

The results provide valuable information for identifying areas where the agglomeration of hotels will produce a spillover effect on hotel revenue and the area of influence of location characteristics. This information is relevant for hotels already established in a destination or when seeking a location for a new hotel.

The results of this study can help city planners in influencing the distribution of hotels to fit desired patterns and improve an area's spatial beauty.

The paper provides insights into how investment, structural characteristics, reputation and location affect hotel revenue.

The purpose of this study is to examine the role of wine involvement in moderating the effect of winery service quality on loyalty toward small family wineries.

This study used a structured questionnaire. The survey was distributed to wine tourists who visited small family wineries located in Crete, Greece and a total of 216 usable questionnaires were collected for the study. To analyze the data, the study used partial least squares structural equation modeling.

The results reveal that wine involvement moderates the effects of winery service quality on wine tourists’ loyalty. Specifically, staff behavior affects the loyalty toward wine tourists with low involvement more significantly compared to the wine tourists with high wine involvement. On the other hand, the quality of wine tastings affects the loyalty of wine tourists with high wine involvement more significantly in contrast with the wine tourists with low wine involvement.

Findings suggest that winery operators need to take into consideration wine involvement among wine tourists when they develop a winery service strategy. Operators of small family wineries can provide more customized, diverse and quality wine tastings to wine tourists with high wine involvement while prioritizing winery staff’s behavior and hospitality to those wine tourists with low wine involvement.

This study contributes to extant wine tourism literature by adding the effects of wine involvement on wine tourists’ loyalty toward the winery, and particularly focusing on small, family wineries.

This study combines institutional and organizational learning perspectives to investigate the impact of institutional distance and institution-specific cross-border acquisition experience in emerging markets on cross-border acquisition performance.

The sample consists of 874 transactions involving targets across 37 emerging markets by 484 different acquirers from 45 developed and emerging markets. The authors decompose institutional distance and acquisition experience along their cultural, administrative, geographic and economic dimensions.

The authors find that cultural, administrative and geographic distance have a negative impact on acquisition performance. In contrast, economic distance does not appear detrimental to acquisition performance across markets. The study provides evidence that a company may apply learnings from previous transactions in similar cultural and economic emerging market environments to elevate the likelihood of a successful acquisition.

This study offers a more fine-grained perspective of the distance concept by decomposing the concepts of institutional distance and acquisition experience along different institutional dimensions. The research across 37 emerging markets sheds light on which of the similarities and differences between these markets are relevant concerning acquisition experience and performance.

The aim of this article is to produce alternative solution suggestions at a conceptual level, by utilizing technologies in the field of Augmented Reality (AR) and Artificial Intelligence (AI), to address the increasing personnel shortages encountered in the tourism and hospitality industry. The discussion is based on a review of the literature.

This article presents a qualitative study investigating the impact of Artificial Intelligence (AI) and Augmented Reality (AR) technologies on the workforce turnover rate in the tourism and hospitality industry in general.

Although Artificial Intelligence (AI) and Augmented Reality (AR) technologies have both positive and negative aspects for the hospitality and tourism industry and its employees, these technologies can be used to reduce the factors that cause employee turnover. In particular, it leads to improvements in job satisfaction, job commitment and career opportunities of sector employees, reduction of job stress, and selection and retention of the right employees.

This study examines the factors that tourism sector employees encounter in the sector and that cause the workforce turnover rate to increase, and emphasizes the importance of the possible benefits of the use of Artificial Intelligence (AI) and Augmented Reality (AR) technologies in reducing these factors that cause the workforce turnover rate.

The purpose of this study is to review the application of semantic technologies in cultural heritage (STCH) to achieve interoperability and enable advanced applications like 3D modeling and augmented reality by enhancing the understanding and appreciation of CH. The study aims to identify the trends and patterns in using STCH and provide insights for scholars and policymakers on future research directions.

This research paper uses a bibliometric study to analyze the articles published in Scopus and Web of Science (WoS)-indexed journals from 1999 to 2022 on STCH. A total of 580 articles were analyzed using the Biblioshiny package in RStudio.

The study reveals a substantial increase in STCH publications since 2008, with Italy leading in contributions. Key research areas such as ontologies, semantic Web, linked data and digital humanities are extensively explored, highlighting their significance and characteristics within the STCH research domain.

This study only analyzed articles published in Scopus and WoS-indexed journals in the English language. Further research could include articles published in other languages and non-indexed journals.

This study extensively analyses the research published on STCH over the past 23 years, identifying the leading authors, institutions, countries and top research topics. The findings provide guidelines for future research direction and contribute to the literature on promoting, preserving and managing the CH globally.

This study addresses a gap in the literature by examining the marketing strategies adopted by wineries in the context of wine tourism. This study aims to identify marketing strategic orientations and highlight their significance in the context of wine tourism.

The research uses a comparative case study approach, focusing on two wine regions, Roussillon (France) and Empordà (Spain). It involves the analysis of 99 active winery websites to identify marketing orientations. Descriptive statistics, cluster analysis and ANOVA tests were used to achieve this.

The study reveals four distinct wine tourism strategic orientations adopted by wineries in these regions. It emphasizes the importance of external ties, varying levels of competitiveness, website performance and geographical differences as key findings. The results show that wineries with a clear diversification strategy benefit from a higher level of competitiveness.

This research contributes to the academic literature by identifying different marketing strategies within wine tourism, highlighting their importance and providing a comprehensive analysis of key areas, thus adding original insights to the existing body of literature.

This study aims to explore how users’ movement is influenced by different hospital ward layouts, by using space syntax theory. This study also compared four circulation patterns to find the best one for the study goal.

The authors used both qualitative and quantitative methods to study how users’ wayfinding in hospitals depends on various indicators and factors. The study used Depth Map software to do case studies and then analyzed the indicators from theoretical foundations and used the Pearson Test to check the correlation between indicators. This study also looked at Iran’s Ministry of Health standards for ward layouts. Finally, the results obtained from the research data were compared to achieve a suitable model based on the research objectives.

The linear-patterned plan was the best for easy wayfinding and accessibility among four patterns. The optimal hospital circulation patterns can improve wayfinding and reduce wayfinding problems and user movement.

By pioneering space syntax in hospital research, this study unveils the novel interaction between path architecture and user movement. It gives new insights into current trends, helping architects, administrators and policymakers improve health-care design, efficiency and patient experience.

This study investigated university lecturers' attitudes, readiness and anxiety toward e-learning in response to the widespread transition to online education prompted by the COVID-19 pandemic and the interrelationships between these variables using a sample drawn from Nigeria.

The sample consisted of 168 university lecturers in Nigeria, comprising 94 males and 74 females. A questionnaire assessing university lecturers' attitudes, readiness and anxiety toward e-learning was administered to collect data. Descriptive, t-test and regression analyses were conducted to analyze the collected data.

The findings revealed significant correlations among lecturers' e-learning attitudes, readiness and anxiety. Specifically, significant relationships were observed between lecturers' e-learning attitudes and readiness, lecturer’s e-learning readiness and anxiety, as well as lecturers' e-learning anxiety and e-learning attitudes. Moreover, a notable difference was detected in the mean scores of e-learning attitudes between male and female lecturers, indicating that male lecturers exhibited more positive e-learning attitudes compared to their female counterparts. Additionally, male lecturers reported lower levels of e-learning anxiety and demonstrated higher readiness to embrace e-learning compared to female lecturers.

The COVID-19 pandemic posed significant limitations for this study. Firstly, due to restrictions on in-person interactions and mobility, conducting a pilot study was not feasible, which may have impacted the refinement of our methodologies. Additionally, the number of participants was limited as a result of challenges in recruitment and accessibility during the pandemic, potentially affecting the generalizability of our findings. Future research efforts should aim to mitigate these constraints and consider alternative methods for data collection to enhance the robustness of the results. Another research implication is the need to explore, through a qualitative approach, the lecturer’s use of e-learning and perception of the process, outcome and needs or areas of improvement. This could unearth deeper issues that threaten the effective transition to and use of e-learning by higher education teachers.

Overall, our findings illuminate the importance of targeted policy and practice interventions to address attitudes, readiness and anxiety among lecturers, facilitating the successful implementation of e-learning initiatives within Nigerian higher education institutions.

The study underscores implications for e-learning integration, emphasizing the importance of considering various human and social factors alongside technical aspects.

This study adds to the existing literature by examining the level of lecturers' attitudes, readiness and anxiety toward the adoption of mandatory e-learning in schools and how these variables relate to drawings on a Nigerian sample.