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The COVID-19 outbreak has severely impacted the health tourism industry. This study aims to examine the research undertaken on health tourism during COVID-19.

A bibliometric analysis was performed using 211 documents written by 645 authors between 2020 and 2024. The databases used for this analysis are SCOPUS, Web of Science and PubMed. The study was conducted using the Biblioshiny application for R software. Various analyses, including citation analysis, keyword analysis, thematic mapping and evolution and collaboration analysis, were conducted to get a comprehensive picture of the impact of COVID-19 on health tourism.

The findings suggest that medical tourism was the major area of focus for researchers during COVID-19, whereas wellness tourism was studied in the later stages of the pandemic and is considered important for coping with the negative effects of COVID-19. The thematic review indicates that pre-pandemic research focused on strategies that accelerate the growth of the health tourism sector, whereas during and post-pandemic, the focus was on studying the impact of COVID-19 on the survival and recovery of the sector. Overall, health tourism was considered instrumental in the post-pandemic revival of the tourism industry.

The bibliometric analysis is limited to only four years, as the focus was on studying health tourism during COVID-19. Hence, the study offers more precise insights into the research focus on health tourism during a pandemic. The current study offers limited insights into the post-pandemic scenario as the research is still emerging.

There is a significant opportunity for future research on post-COVID-19 recovery strategies, wherein this research will be helpful for researchers, particularly from emerging countries and countries with high dependence on health, medical and wellness tourism. The thematic analysis provides a valuable comparison of pre-, during and post-pandemic research.

The research indicates an opportunity to study the policies and strategies adopted by various countries regarding the health tourism sector in the post-COVID-19 era. The research also highlights the interwoven, intricate, interdisciplinary nature of health tourism in relation to public and mental health and the need for collaborative efforts.

The study provides critical insights and new directions for future research by highlighting the crucial role of health tourism in mitigating the impact of COVID-19.

Made-in-India tyres are rapidly integrating into global supply chains due to a globally coordinated regulatory environment and aspiring for value creation and contribution to circularity. However, it is not clear what are the constituent components of emerging technologies like blockchain that can facilitate value creation and how they are associated. Therefore, this study intends to explore the elements of blockchain technology and how they create value to bring circularity to a tyre supply chain.

This study employed a survey-based quantitative methodology to test the theoretical framework of blockchain-enabled circular supply chains using non-parametric regression analysis. A total of 307 responses from India-based supply chain professionals’ data were collected from September 2022 to January 2023 to perform non-parametric regression analysis.

The results indicated that blockchain could improve visibility and accessibility by having value-creation capabilities of data collection, monitoring, processing and analysis to facilitate the circular tyre supply chain which focuses on recycling, reusing, reducing and rethinking initiatives. Further, accessibility contributes more than visibility to creating value toward a blockchain-enabled tyre circular supply chain.

First, this study employs a grounded theory-driven approach in identifying and testing a framework through hierarchical regression. This study identifies the role of blockchain technology in unfolding visibility and accessibility towards value creation, enhancing circularity in the supply chains in complex and critical industries such as tyres in India and across the globe.

This study aims to examine the challenges in the implementation of energy management systems in residential buildings to lower the running cost and achieve a better energy-efficient building.

This study adopted a mixed research method. Quantitative data was gathered by issuing a research questionnaire to 20 Delphi experts, while qualitative data was acquired through a Systematic Literature Review. Data received was analyzed using the descriptive analysis method.

The findings revealed that the main barriers to incorporating energy management systems (EMSs) in residential buildings consist of a lack of awareness of energy management systems, lack of management commitment to energy management, lack of knowledge about energy management systems, lack of funds for energy management systems, resistance to energy management technology by the property owners and property managers, distrust and resistance to energy management technology by the property owners, high initial cost of energy management technologies, shortage of technicians for energy management technologies, the nonexistence of local manufacturers of energy management equipment, lack of incentives for efficient energy management and high repair costs of energy management technologies.

The specific focus on residential buildings may limit the applicability of findings to commercial or industrial sectors. Further research is warranted to accommodate other energy-consuming sectors.

People’s perceptions, either wrong or correct, affect their ability to make an informed decision to adopt energy management systems, denying them the opportunity to reap the associated benefits. Therefore, there is an urgent need for the residential industry stakeholders and the government to increase educational opportunities for property owners, managers and property tenants on the importance of energy management systems.

This research presents the potential obstacles and problematic areas that residents may encounter while using these energy management systems. Consequently, they will be able to make a well-informed choice when installing energy management systems. Moreover, the research elucidates the identification of novel perspectives and also unexamined obstacles that impede the widespread use of energy management systems in residential buildings.

The COVID-19 pandemic has resulted in countries reacting differently to an ongoing crisis. Latent to this reaction mechanism is the inherent cultural characteristics of each society resulting in differential responses to the epidemic spread. In this study, the moderated moderation role of culture, on information dissemination by media during epidemic recovery-phase has been investigated.

Hofstede’s cultural factors are hypothesized to moderate the moderating effect of free-liberal media on the relationship of COVID-19 recovery rate and human mobility. Panel regression model, using mobility data and recovery rate across 95 countries for a period of 170 days has been preferred to test the hypotheses. The results are further substantiated using factor wise interaction plots and slope difference analysis.

The findings suggest that societies with high power distance and masculinity scores strengthen the impact of media on the relationship between COVID-19 recovery rate and mobility whereas, high individualistic and long-term orientation societies weaken the same effect. However, similar conclusions were not confirmed for uncertainty avoidance. Cross-cultural impact, as elucidated by this study, forms a crucial element in policy formulation on epidemic control by indigenous Governing bodies.

While most of the studies emphasizing on cultural characteristics of a society in an epidemic situation covers the growth phase of infection, This research talks about the recovery-phase of the epidemic and the effect of culture.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2023-0314

This study examines the need for an accounting curriculum to evolve in response to the changing business landscape. Specifically, this study aims to explore the relationship between various market forces, the shifting dynamics of business, and the importance of adapting accounting education to these changes.

This study is a combination of both quantitative and qualitative research. A structured questionnaire was administered to 320 professionals to gather data, and the study employed descriptive analysis, one-sample t-tests, and structured equation modeling to analyze the relationship between the variables.

The findings reveal a strong correlation between business transformation and the imperative to adapt accounting education. This study emphasizes the significance of modifying accounting curricula to align with the current market trends. Furthermore, this study addresses the pressing concern of sustainability and the triple bottom line (TBL), advocating specialized education in sustainability accounting programs.

Despite its contributions, this study acknowledges a limitation in its focus solely on the perceptions of professionals and academicians regarding the impact of business transformation on accounting education, without directly examining the prevailing accounting education system. Future research should address this limitation by undertaking a qualitative exploration of the actual accounting education landscape and market requirements.

The implications of the study span the theoretical, regulatory, environmental, and social domains, stressing the need for educational institutions, regulatory bodies, and industry to collaborate in shaping competent and future-ready accounting professionals. A systematic approach would validate and extend the findings of this study, providing deeper insights into the transformative processes necessary to enhance accounting education in response to evolving business landscapes and environmental dynamics.

The outcome of the study assists educational institutions and regulatory bodies in framing policies to adapt accounting education to the evolving business landscape by updating the accounting curriculum as per the changes in the market forces to make graduates relevant and competent.

This study aims to address the noted gap in comprehensive overviews detailing the developmental trajectory of Islamic finance (IF) as an interdisciplinary academic field.

The study introduces a unique approach using the combined methodologies of co-word analysis and main path analysis (MPA) by examining a broad collection of IF research articles.

The investigation identifies dominant themes and foundational works that have influenced the IF discipline. The data reveals prominent areas such as Shariah governance, financial resilience, ethical dimensions and customer-centric frameworks. The MPA offers detailed insights, narrating a journey from the foundational principles of IF to its current challenges and opportunities. This journey covers harmonizing religious beliefs with contemporary financial models, changes in regulatory landscapes and the continuous effort to align with broader socioeconomic aspirations. Emerging areas of interest include using new technologies in IF, standardizing global Islamic banking and assessing its socioeconomic effects on broader populations.

This study represents a pioneering effort to map out and deepen the understanding of the IF field, highlighting its dynamic evolution and suggesting potential avenues for future academic exploration.

This study aims to explore the global issues of impulse buying, compulsive purchasing and materialism. It examines how materialism relates to self-esteem and the tendencies for impulsive and compulsive buying. In addition, the study delves into the impact of religiosity on self-esteem and materialistic values in an Islamic country.

Enumerators visited universities, distributing 415 questionnaires and receiving 397 in return. Due to the unavailability of a sample frame for the target population, the study used nonprobability sampling for statistical analysis, which included assessments of normality, reliability, validity and bootstrapping for the structural model, the researchers used Smart PLS.

The study confirmed 13 hypotheses while rejecting four. The unsupported hypotheses are: (i) materialism negatively impacts impulsive purchasing behavior, (ii) impulsive purchasing does not mediate the relationship between materialism and compulsive purchasing, (iii) materialism does not mediate the relationship between religiosity and impulsive purchasing and (iv) in an Islamic country, neither materialism nor impulsive purchasing significantly mediates the relationship between religiosity and compulsive purchasing.

This study was conducted in a city within a developing Islamic nation, focusing on college students. It suggests that future research could include more cities, a diverse population segments and multicultural perspectives. The research primarily examined the direct relationships between religiosity and factors such as self-esteem, materialism and impulsive purchasing. Future studies could explore religiosity as a mediating factor. This study highlights that materialism (M), impulsive buying (IB) and compulsive buying (CB) are not only closely interconnected but also adversely affect individual, family and societal well-being, raising global concerns. While occasional impulsive behavior is common among individuals in Islamic nations, repeated indulgences in the same behavior could lead to an obsession with excessive purchasing.

This study holds significant implications for consumers and retailers. Excessive and unnecessary spending can increase financial burden and adversely affect family welfare. Often, families and acquaintances inadvertently teach children to engage in extreme purchasing behaviors. To combat this, families and religious leaders should educate individuals about the detrimental effects of impulsive and compulsive purchasing. In addition, colleges and other institutions should organize seminars and workshops to address these issues. Retailers, whose sales largely depend on impulsive and compulsive consumers, should employ interpersonal influencers and brand advocates to connect with this customer segment effectively.

This study examined the relationship between religiosity, materialism, self-esteem and impulsive and compulsive purchasing behaviors. This study thoroughly tested 17 hypotheses, encompassing direct, mediating and multimediating relationships. The findings reveal that materialism’s impact on impulsive behavior is negligible compared to previous research, corroborating the findings presented in the cited literature.

This study aims to provide a framework for the interaction of blockchain technology, the audit process and International Financial Reporting Standards (IFRS).

This study was conducted in three phases. In the first phase, a meta-synthesis method was used until 2020. Out of 87 papers, a total number of 15 were selected, and 72 were excluded after an initial screening. In the second phase, 11 interviews were held with experts with sufficient experience and expertise in blockchain technology, accounting and auditing. These interviews were held between 2020 and 2021. The sampling was purposive (targeted) in type, along with snowball sampling. In the third phase, a combination of questionnaire-based method and the fuzzy Delphi method was used. The research population for this phase consisted of accounting professors, members of the Iranian Association of Certified Public Accountants and accounting and technology professionals. Following the selection of the Delphi panel, 35 questionnaires were collected between 2021 and 2022 for analysis.

The results showed that in line with the interaction of blockchain technology, audit process and IFRS, 52 indicators were confirmed in eight components. Moreover, “Verifiability,” “Timeliness” and “Predictive value” were the most influential factors, respectively, according to the conceptual model. In addition, higher average scores of experts’ views were related to “Transparency audit reports” and “Increasing the quality of the auditor’s judgment”, respectively.

Blockchain is a complex subject, and there has been very little published research on the intersection of IFRS and blockchain technology. It is crucial for the audit profession and technology professionals to focus on the interaction of blockchain technology with the qualitative characteristics of information. This is an area that has not been thoroughly researched yet. The interaction of blockchain technology, improvements in the audit process and adherence to IFRS is a significant development in accounting and auditing.

The main objective of this research is to analyze the dynamics of academic research on digital entrepreneurship and innovation, unveiling the main research trends developed in the last decade.

The analysis has been carried out using a dual methodological approach comprising bibliometric methods and an innovative three-level systematic review, involving the analysis of the most used keywords, the co-occurrence network of keywords and a traditional review of the abstracts of the 1713 peer-reviewed articles that make up the database under study, with the aim of revealing and discussing the most important research trends developed in the period analyzed.

The results reveal seven major research trends that underscore the fundamental role of digital platforms in democratizing innovation, enabling a more inclusive and collaborative environment wherein startups, established firms, academia and government entities converge to drive technological advancements and societal progress. Additionally, the pressing need for a holistic understanding of digital technologies' potential to spur economic growth, societal progress and sustainable development is highlighted, as well as the challenges posed by privacy, security and the digital divide.

This research has been developed using an innovative methodology, and contributes to the academic discourse by providing a comprehensive overview of the current state and prospects of digital entrepreneurship and innovation for policymakers, entrepreneurs and researchers, urging a collaborative effort to harness the benefits of digital transformation in an equitable and responsible manner, fostering an environment of innovation that is conducive to the sustainable growth of the digital economy.

Radical changes in consumer habits induced by the coronavirus disease (COVID-19) pandemic suggest that the usual demand forecasting techniques based on historical series are questionable. This is particularly true for hospitality demand, which has been dramatically affected by the pandemic. Accordingly, we investigate the suitability of tourists’ activity on Twitter as a predictor of hospitality demand in the Way of Saint James – an important pilgrimage tourism destination.

This study compares the predictive performance of the seasonal autoregressive integrated moving average (SARIMA) time-series model with that of the SARIMA with an exogenous variables (SARIMAX) model to forecast hotel tourism demand. For this, 110,456 tweets posted on Twitter between January 2018 and September 2022 are used as exogenous variables.

The results confirm that the predictions of traditional time-series models for tourist demand can be significantly improved by including tourist activity on Twitter. Twitter data could be an effective tool for improving the forecasting accuracy of tourism demand in real-time, which has relevant implications for tourism management. This study also provides a better understanding of tourists’ digital footprints in pilgrimage tourism.

This study contributes to the scarce literature on the digitalisation of pilgrimage tourism and forecasting hotel demand using a new methodological framework based on Twitter user-generated content. This can enable hospitality industry practitioners to convert social media data into relevant information for hospitality management.

2019冠狀病毒病引致消費者習慣有根本的改變; 這些改變顯示，根據歷史序列而運作的慣常需求預測技巧未必是正確的。這不確性尤以受到大流行極大影響的酒店服務需求為甚。因此，我們擬探討、若把在推特網站上的旅遊活動視為聖雅各之路 (一個重要的朝聖旅遊聖地) 酒店服務需求的預測器，這會否是合適的呢?

本研究比較 SARIMA 時間序列模型與附有外生變數 (SARIMAX)模型兩者在預測旅遊及酒店服務需求方面的表現。為此，研究人員收集在推特網站上發佈的資訊，作為外生變數進行研究。這個樣本涵蓋於2018年1月至2022年9月期間110,456個發佈資訊。

研究結果確認了傳統的時間序列模型，若涵蓋推特網站上的旅遊活動，則其對旅遊需求方面的預測會得到顯著的改善。推特網站的數據，就改善預測實時旅遊需求的準確度，或許可成為有效的工具; 而這發現對旅遊管理會有一定的意義。本研究亦讓我們進一步瞭解朝聖旅遊方面旅客的數碼足跡。

現存文獻甚少探討朝聖旅遊的數字化，而本研究不但在這方面充實了有關的文獻，還使用了一個根據推特網站上使用者原創內容嶄新的方法框架，進行分析和探討。這會幫助酒店從業人員把社交媒體數據轉變為可供酒店管理之用的合宜資訊。