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The literature on public procurement (PP) has increased significantly in recent years, and, to date, several reviews have been conducted to study this relevant subject. Nevertheless, a bibliometric analysis of the PP knowledge domain is still missing. To fill this knowledge gap, a bibliometric review is carried out to investigate the current state of PP research.

A total of 640 journal articles are selected from the Scopus database for the final analysis. The performance indicators of the literature are identified and explained through bibliometric analysis. Furthermore, the conceptual and intellectual structures are studied through a keyword co-occurrence network and bibliographic coupling.

The results of the review indicate that PP research has increased significantly in recent years. The top ten most productive journals, countries, authors and academic institutions are identified. The findings from the keyword co-occurrence network reveal six main research themes including innovation, corruption and green public procurement (GPP). By applying bibliographic coupling, the focus of PP research revolves around seven thematic areas: GPP, corruption, the role of small and medium-sized enterprises (SMEs) in PP, electronic PP, innovation, labour standards and service acquisition. The research potential of each thematic area is evaluated using a model based on maturity and recent attention (RA).

To the best of the authors' knowledge, this is the first study to successfully organise, synthesise and quantitatively analyse the development of the PP domain amongst a large number of publications on a large time scale.

Crowdfunding (CF) has become an increasingly popular means of financing for entrepreneurs and has attracted significant attention from both researchers and practitioners in recent years. The purpose of this study is to investigate the core content and knowledge diffusion paths in the CF field. Specifically, we aim to identify the main topics and themes that have emerged in this field and to trace the evolution of CF knowledge over time.

This study employs co-word clustering and main path analysis (MPA) to examine the historical development of CF research based on 1,528 journal articles retrieved from the Web of Science Core Collection database.

The results of the analysis reveal that CF research focuses on seven themes: sustainability, entrepreneurial finance, entrepreneurship, fintech, social entrepreneurship, social capital, and microcredits. The analysis of the four main paths reveals that equity CF has been the dominant topic in the past years. Recently, CF research has tended to focus on topics such as fintech, the COVID-19 pandemic, competition, Brexit, and policy response.

To the authors' best knowledge, this is the first attempt to explore knowledge diffusion dynamics in the CF field. Overall, the study offers a structure for analyzing the paths through which knowledge is diffused, enabling scholars to effectively manage a large volume of research papers and gain a deeper understanding of the historical, current, and future trends in the development of CF.

The purpose of this study is to investigate the structure and dynamics of academic articles relating to public procurement (PP) in the period 1984–2022 (up to May). The researchers also intend to analyse how this knowledge domain has grown since 1984.

A bibliometric analysis was carried out to examine the existing state of PP research. Based on 640 journal articles indexed in the Scopus database and written by 1,247 authors over nearly four decades, a bibliometric analysis was conducted to reveal the intellectual structure of academic works pertaining to PP.

Findings reveal that PP research from Scopus has significantly increased in the past decade. Major journals publishing PP research are International Journal of Procurement Management, Journal of Cleaner Production, Journal of Purchasing and Supply Management and Public Money and Management. Results also indicate that authors’ cooperation network is fragmented, showing limited collaboration among PP researchers. In addition, results suggest that the institutional collaboration network in PP research mirrors what is commonly referred to as the North–South divide, signifying insufficient research collaboration between developed and developing countries’ institutions. According to the co-occurrence keyword network and topic modelling, PP revolves around five main themes, including innovation, corruption, sustainable and green PP, PP contracts and small and medium enterprises. Based on these results, several directions for future research are suggested.

This paper provides an increased understanding of the entire PP field and the potential research directions.

To the best of the authors’ knowledge, this study is the first-ever application of bibliometric techniques and topic modelling to examine the development of PP research since 1984 based on scholarly publications extracted from the Scopus database.

Halal food (HF) has received significant attention from scholars and practitioners. However, no studies have explored the distinct role played by HF literature as part of knowledge diffusion. Given the increasing number of scholarly outputs, this study aims to examine the HF development over the past decades comprehensively, including emerging topics and knowledge transmission paths and structure.

This study conducted a keyword co-occurrence network analysis and main path analysis (MPA). The MPA included four types of main paths to trace the historical formation of HF based on 253 articles extracted from the Web of Science database.

The findings show that: HF research revolves around several dimensions, including HF safety and trust, halal certification, HF supply chain management and attitudes towards HF purchasing, and the focus of HF research has shifted from the business perspective to the consumer perspective. In recent years, there has been a trend to explore how blockchains can benefit HF supply chains by improving traceability, transparency and consumer trust in HF.

This study addresses the need to examine the knowledge diffusion paths in the HF domain. This study offers a framework to investigate the knowledge dissemination and structure, helping researchers deal with hundreds of articles effectively and increasing their understanding of the past, present and future research trends in the HF domain.

This study aims to incorporate innovative technology (i.e. blockchain) into the design of an online travel agency (B-OTA). The authors accelerated the design of the prototype system through expert interviews to understand the convenience of the blockchain travel and accommodation platform for users. The authors further validated the prototype system design and improved reference capability through usability testing.

Rapid prototyping of B-OTA was carried out through the Delphi method and literature compilation. Design validation of usability testing was conducted using modified systematic evaluation methodology. Prototype system suggestions and improvements were collected through feedback from test subjects.

This study will be helpful for the development of B-OTAs and related technologies. Through usability testing, the authors verified that creating a familiar operating environment for users can reduce users’ fear of unfamiliar technology. The results of this research provide future B-OTA researchers and practitioners with design guidelines.

Beyond the blockchain-related technologies used, few studies have reported experiences and interface design of B-OTAs. This study states that, as many human–computer interaction-related papers have pointed out, the basic prerequisite for successful interface design is a clearer definition of users’ needs during operation. User experience and user interface design should provide a good user experience.

本研究旨在在线旅行社 (B-OTA) 的设计中融入创新技术（即区块链）。通过专家访谈了解了区块链旅行的方便性和用户打造的住宿平台, 从而加快了原型系统设计。我们进一步通过可用性测试验证原型系统设计并提高其参考能力。

进行了 B-OTA 的快速原型设计通过德尔菲法和文献汇编。设计验证可用性测试是使用修改后的系统评估进行的方法。通过收集受试者的建议对原型系统进行改进。

本研究将有助于B-OTAs及相关领域的发展技术。通过可用性测试, 我们验证了创建一个熟悉的用户的操作环境可以减少用户对陌生技术的恐惧。我们的研究结果为未来的 B-OTA 研究人员和从业者提供了设计相关的指南。

除了使用的区块链相关技术之外, 很少有研究报告了 B-OTA 的经验和界面设计。这项研究指出, 正如许多 HCI 相关论文所指出的, 成功的界面设计基本的先决条件是在使用过程中更清晰地定义用户需求。用户体验和用户界面设计应该提供良好的用户体验。

This study aims to chart the impact of technological advancements on tourism from the post–Second World War era to the present and forecast their influence until 2050. It assesses how technologies have reshaped travel experiences and operations, with a focus on upcoming innovations such as the metaverse, Web 3.0 and AI, and their implications for sustainable and ethical tourism.

This study uses a hybrid approach, combining historical analysis and future projections. It analyzes archival data, industry reports and academic literature.

This study identifies crucial technological milestones that have significantly impacted tourism, including the rise of commercial aviation, the internet and AI. Future trends suggest emerging technologies will further transform the sector. Challenges in sustainability, ethics and inclusivity are highlighted as critical considerations for future development.

This paper offers a unique longitudinal perspective on technology’s influence on tourism, bridging past trends with future projections.

本研究采取混合方法, 融合历史分析与未来趋势预测。研究分析了丰富的档案数据、行业报告以及学术文献。

旨在勾勒从二战后至今技术进步对旅游业的影响, 并展望至2050年的潜在影响。本研究着重评估技术如何重塑旅游体验和运作, 特别是对元宇宙、网络3.0和人工智能等即将到来的创新技术及其对可持续和伦理旅游的意义。

识别了旅游业中关键的技术里程碑, 包括商业航空、互联网和人工智能的崛起。研究指出, 未来趋势显示新兴技术将继续深刻改变旅游业。同时强调, 可持续性、伦理和包容性是未来发展中不可忽视的关键要素。

本文从独特的纵向视角出发, 深入探讨了技术对旅游业的历史与未来影响, 将过去发展趋势与未来展望紧密结合。

Este estudio emplea un enfoque híbrido que combina el análisis histórico y las proyecciones de futuro. Analiza datos de archivo, informes del sector y bibliografía académica.

La investigación pretende trazar el impacto de los avances tecnológicos en el turismo desde la era posterior a la Segunda Guerra Mundial hasta la actualidad y prever su influencia hasta 2050. Evalúa cómo las tecnologías han reconfigurado las experiencias y las operaciones de viaje, centrándose en las próximas innovaciones como el Metaverso, la Web 3.0 y la IA, y sus implicaciones para un turismo sostenible y ético.

El estudio identifica hitos tecnológicos cruciales que han tenido un impacto significativo en el turismo, como el auge de la aviación comercial, Internet y la IA. Las tendencias futuras sugieren que las tecnologías emergentes transformarán aún más el sector. Los retos en sostenibilidad, ética e inclusividad se destacan como consideraciones críticas para el desarrollo futuro.

Este artículo ofrece una perspectiva longitudinal única sobre la influencia de la tecnología en el turismo, tendiendo un puente entre las tendencias pasadas y las proyecciones futuras.

This paper employs bibliometric analysis to explore transformative trends and emerging research patterns in the intersection of digital technology and tourism. The goal is to provide insights into the evolving landscape, identify key themes, influential authors and prominent journals, contributing to a nuanced understanding of this dynamic field.

This study rigorously employs bibliometric analysis from 2002 to 2023, using Scopus and Web of Science databases, yielding 2,040 Scopus and 1,389 Web of Science documents. After meticulous data selection, 575 articles were refined. Utilising VOSviewer and Biblioshiny, the analyses focus on publication trends, citations, authorship, collaborations and thematic clusters, addressing four research questions.

This bibliometric analysis reveals a significant growth in annual scientific production on digital technology and tourism, peaking at 100 articles in 2023. Key contributors include LAW R., CHUNG N. and KOO C. China leads in research output, and influential journals include “Current Issues in Tourism” and “Information Technology and Tourism.” Noteworthy trends emphasise the centrality of “smart tourism” and the interconnectedness of technology, hospitality and management in shaping future research directions.

Stakeholders should focus on integrating emerging technologies in tourism, emphasising areas with high research activity. Professionals must stay updated on evolving trends, adopt innovative digital solutions and collaborate to navigate the dynamic landscape.

This study pioneers the first bibliometric analysis on digital technology in the tourism industry, providing a unique and comprehensive exploration of the scholarly landscape from 1998 to 2023, shedding light on key contributors, influential journals and emerging trends.

This paper reviews the role of two significant smart technologies, artificial intelligence (AI) and blockchain technology (BT) in achieving sustainable tourism success. Such changes will maintain consistent tourism growth in the Middle East and North Africa (MENA) region by improving environmental, social and economic sustainability.

This study uses a qualitative approach focusing on AI and blockchain-based adaptations towards sustainability in technology-driven platforms, particularly in the tourism sector. However, this study is conceptualized with Day's (1989) IMRAD (introduction, methods, results and discussion) framework and Hall's (2012) suggestions. This reinforced the structure of this article by the preferred reporting items for systematic reviews and meta-analyses (PRISMA) concept. In addition, the entire study proceeds by way of accentuating the research question.

The potential of these technologies (AI and blockchain) can internalize a win-win situation for economic prosperity and sustainable conservation of environmental resources. Even though, apathy among potential tourists (of traditional mass tourism) can be revived under sustainable tourism in the region through smart technology. Replacing traditional practices and policies with innovative technologies can reduce the adverse effect on environmental and cultural resources.

This research justifies the potential for AI and blockchain to balance economy-oriented tourism and sustainability-prone technologically advanced tourism as a caustic issue for the MENA region. Indeed, this study has revitalized and transformed the less eventful margins of leading cultural-heritage-based tourism into sustainable profitability with concerns over diversity, socio-economic conditions, economic recession and burgeoning geopolitical instability.

This paper aims to investigate the behavior of volatility of Islamic equity indices toward fundamental risk factors. It focuses on the degree and structure of sensitivity to commodity price changes, global risk perception and term premium and whether crises and fragility periods have shaped the degree and structure of this sensitivity.

Quantile regression incorporating structural changes and GARCH-class model are used to establish how sensitivities are varying across volatility distribution depending on global events. The data are daily series of return indices, over the period spanning from January 1, 2001 until January 22, 2018.

The results show significant sensitivity to fundamental factors. The sensitivity is identified for different regional indices and intensified across quantiles. Speculation has shaped the structure of sensitivity at normal time, but correction holds at time of crisis. The results reveal that even if they share common features, commodities cannot be considered as homogeneous asset class. Indeed, the exact relationship cannot be observed at normal time in presence of speculation and information delay. However, at time of financial fragility and periods of crisis, the sensitivity is assigned with the plausible sign.

The obtained results present several policy implications as well for academics, portfolio managers and policy-makers. It opens new research paths for academic research, it helps in investment decisions, provides lessons for portfolio diversification, both for price discovery and hedging. The results serve as well to implement effective macroeconomic stabilization policies and even fiscal policies to counteract any inflationary impact of fundamental price changes on investors and Islamic banks.

This paper contributes to empirical literature by dealing with the sensitivity of Islamic equity indices to commodity prices and term premium along with the effect of investor sentiment. It pays attention to the financial stability of Islamic stock markets by investigating the sensitivity at normal time, during fragility periods and periods of crisis. It considers the financialization process of commodity markets and includes the term premium to control for rational expectations on term structure of interest rates and the VIX (Volatility index) as global risk perception to control for safety and risk aversion.

This paper aims at examining the co-movement dependent regime and causality relationships between conventional and Islamic returns for emerging, frontier and developed markets from November 2008 to August 2020.

First, the authors used the Markov-switching autoregression (MS–AR) model to capture the regime-switching behavior in the stock market returns. Second, the authors applied the Markov-switching regression and vector autoregression (MS-VAR) models in order to study, respectively, the co-movement and causality relationship between returns of conventional and Islamic indexes across market states.

Results show the presence of two different regimes for the three studied markets, namely, stability and crisis periods. Also, the authors found evidence of a co-movement relationship between the conventional and Islamic indexes for the three studied markets whatever the regime. For the Granger causality, it is proved only for emerging and developed markets and only during the stability regime. Finally, the authors conclude that Islamic indexes can act as diversifiers, or safe-haven assets are not strongly supported.

This paper is the first study that examines the co-movement and the causal relationship between conventional and Islamic indexes not only across different financial markets' regimes but also during the COVID-19 period. The findings may help investors in making educated decisions about whether or not to add Islamic indexes to their portfolios especially during the recent outbreak.