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The objective of this research is to identify and prioritize the critical factors that influence the adoption of blockchain technology within the banking sector.

A well-known theoretical framework, the “Technology Organization Environment (TOE),” was chosen to analyze what criteria and sub-criteria affect blockchain adoption in the banking sector after a thorough assessment of the prior literature. Following that, 3 evaluation criteria and 14 sub-criteria were selected and verified using expert opinion. A survey design was created, and data for the study has been collected from various information technology (IT) managers/officers in the banking sector. A fuzzy analytic hierarchy process (Fuzzy-AHP) was then used to meet the purpose of the research.

The study identified that the organizational dimension is the most significant criteria for blockchain adoption in the banking sector, followed by the environmental dimension. In contrast, the technological dimension is the least influential criterion. Clientele pressure, IT resources, financial resources, pressure from competitors and relative advantage are the most influential sub-criteria for blockchain adoption.

This study provides valuable insights to bank managers, blockchain and IT developers, third-party service providers and policymakers. For instance, adopting the same blockchain platform is easier for both large and small banks for banking operations by using third-party service provider. At the same time, banks should have the banks' own core team to implement the blockchain-based systems or to have control over the third-party service providers during the adoption stage.

To the best of the authors' knowledge, no empirical studies have used a holistic organizational context to understand the factors influencing the adoption of blockchain technology from traditional to blockchain-based banking systems.

The paper aims to find the preferences of different tourist type. Since, COVID-19 pandemic has brought the international hospitality industry to a standstill, there are some early signs of recovery. For this industry’s long-term recovery, the tourists’ changing preferences need to be analyzed. Moreover, with different types of tourists, a more nuanced and in-depth study is required to analyze the preferences of each tourist type.

The research focuses on the changing preferences of the tourist by comparatively analyzing the pre-COVID-19 and current COVID-19 phase. The study extracted online data from TripAdvisor and identified themes by applying Latent Dirichlet Allocation (LDA).

The study’s findings confirmed the change in preferences of the different types of tourists during the COVID-19 pandemic by performing thematic analysis. New themes emerged in the pandemic phase, providing more insights into tourists’ changing preferences in the current COVID-19 phase. The study also found that specific dominant themes in the pre-COVID-19 phase were replaced by new themes in the current COVID-19 phase.

To the best of the authors’ knowledge, this study is the first to compare the pre-COVID-19 and current COVID-19 phase themes to decipher the new themes that managers of the hotels should consider to win back tourists’ confidence during the pandemic. The unraveling of changing preferences of the different tourist types in the current COVID-19 pandemic is the novel contribution of the study.

在 COVID-19 大流行期间改变游客对酒店业的偏好

COVID-19 大流行使国际酒店业陷入停顿。虽然有一些复苏的早期迹象, 但对于这个行业的长期复苏, 还需要分析游客不断变化的偏好。此外, 针对不同类型的游客, 需要进行更细致和深入的研究来分析每种游客类型的偏好。

该研究通过比较分析 COVID-19 之前和当前 COVID-19 阶段, 重点关注游客不断变化的偏好。该研究从 TripAdvisor 提取在线数据, 并通过应用隐含狄利克雷分布 (LDA) 确定主题。

该研究的调查结果通过进行主题分析证实了不同类型游客在 COVID-19 大流行期间偏好的变化。大流行阶段出现了新主题, 为游客在当前 COVID-19 阶段不断变化的偏好提供了更多见解。该研究还发现, COVID-19之前阶段的特定主导主题被当前 COVID-19 阶段的新主题所取代。

该研究首次比较了 COVID-19 之前和当前 COVID-19 阶段的主题, 从而为酒店管理者在大流行期间赢回游客的信心提供了应该考虑的新主题。研究发现在当前的 COVID-19 大流行中不同游客类型的偏好的变化是该研究的新贡献。

The purpose of the study is to analyse the impact of COVID-19 on the hospitality industry during the rise of worldwide pandemic crises using Twitter analysis. The study is based on 57,794 English-language tweets mined from Twitter from 1 April 2020 to 15 October 2020. Based on thematic and sentiment analysis, the study found that overall sentiments expressed on Twitter were negative. This chapter contributes to existing knowledge about the COVID-19 crisis and broadens the respondents’ understanding of the potential impacts of the crisis on the most vulnerable tourism and hospitality industry. This research emphasises the sustainable revival of the hospitality industry.

Purpose: The study aims to explore the wider acceptance of blockchain technology and growing faith in this technology among all business domains to mitigate the chances of fraud in various sectors.

Design/Methodology/Approach: The authors focus on studies conducted during 2015–2022 using keywords such as blockchain, fraud detection and financial domain for Systematic Literature Review (SLR). The SLR approach entails two databases, namely, Scopus and IEEE Xplore, to seek relevant articles covering the effectiveness of blockchain technology in controlling financial fraud.

Findings: The findings of the research explored different types of business domains using blockchains in detecting fraud. They examined their effectiveness in other sectors such as insurance, banks, online transactions, real estate, credit card usage, etc.

Practical Implications: The results of this research highlight (1) the real-life applications of blockchain technology to secure the gateway for online transactions; (2) people from diverse backgrounds with different business objectives can strongly rely on blockchains to prevent fraud.

Originality/Value: The SLR conducted in this study assists in the identification of future avenues with practical implications, making researchers aware of the work so far carried out for checking the effectiveness of blockchain; however, it does not ignore the possibility of zero to less effectiveness in some businesses which is yet to be explored.