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This study aims to systematically review and critically assess research methods for studying aging populations in tourism and hospitality. It identifies gaps and provides recommendations for advancing methodological innovation in response to emerging research agendas.

Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a systematic review of existing literature on aging populations in tourism and hospitality. Searches were performed in major databases, including Scopus and Web of Science, to collect peer-reviewed, English articles published in Social Sciences Citation Index (SSCI)-indexed tourism and hospitality journals from 1965 to 2025. The methodologies employed in the selected studies were thoroughly analyzed.

A total of 184 articles were included in the final analysis. The review revealed that current research methods predominantly rely on surveys and interviews, with limited methodological diversity. Gaps were identified, and a conceptual model was proposed to advance cross-disciplinary integration and foster innovative methods that could more comprehensively capture the complexities of senior tourists, particularly those with health conditions.

This paper is likely the first to synthesize research methodologies within this specific context, outlining a path forward for researchers to adopt more innovative, multidisciplinary approaches. This study lays the foundation for future empirical investigations into the behaviors and experiences of senior tourists, as well as the potential role of tourism in promoting healthy aging. Additionally, it provides valuable insights for tourism marketing practitioners to better accommodate this growing segment.

Salt rock from salt lakes can serve as a cost-effective material for subgrade filling, as demonstrated in projects like the Qarhan Salt Lake section of the Qinghai-Tibet Railway and the Qarhan Salt Lake section of the G215 Highway. This state-of-the-art paper aims to summarize the engineering properties of salt rock filling and present the advances of its utilization.

This paper collects and analyzes laboratory and field data of salt rock filling from previous studies to present a comprehensive analysis of the engineering properties and utilization of salt rock fillings.

Salt rock primarily contains minerals such as halite and glauberite, which contribute to its unique phase-changing behavior under varying environmental conditions, impacting its mechanical properties. Salt rock filling shrinks when in contact with vapor or unsaturated brine and expands under cooling or evaporation. Its use is particularly recommended for arid regions, with specific restrictions depending on the structure type. This paper discusses suggested countermeasures to mitigate these issues, as well as key quality acceptance indices for salt rock filling compaction. Moisture content after air-drying is recommended as a crucial parameter for construction quality control.

This review aims to support future research and engineering practices in salt rock subgrade applications.

In the context of macroeconomic fluctuations and uncertainty in policy changes, it is essential to understand how companies adapt their environmental strategies and marketing tactics to ensure survival and growth. This study, therefore, examines the impact of perceived economic policy uncertainty on corporate greenwashing.

Based on panel data from listed companies on the Chinese A-share market between 2013 and 2022, this paper employs a high-dimensional fixed effects model to explore the impact of perceived economic policy uncertainty (PEPU) on corporate greenwashing behavior.

The results show that higher PEPU increases greenwashing, with agency costs and investor sentiment mediating the relationship. Corporate credit availability and managerial short-sightedness positively moderate this effect. Heterogeneity analysis reveals that non-state-owned enterprises in central and western regions, particularly those with weak environmental regulation and high pollution, are most impacted by PEPU.

This paper provides practical guidance for how to avoid the phenomenon of green reshuffle in economic and environmental policies and encourages enterprises to take more real and effective environmental protection measures.

These findings highlight the importance of considering corporate responses to policy uncertainty when formulating economic and environmental policies. They provide valuable insights for emerging economies in fostering genuine corporate environmental behavior and promoting sustainable development.

Purpose: In this chapter of this book, the role and contributions of blockchain in Industry 5.0 are examined. Especially, the advantages offered by blockchain in mass customization, hyper-personalization, human–robot collaboration and cognitive systems, which constitute the main theme of Industry 5.0, are mentioned.

Need for the study: With developing technology, revolutions are taking place in the industry. While these revolutions are occurring, various technologies serve as enablers. In this chapter, one of these technologies, blockchain, is examined.

Methodology: Industrial revolutions represent important technological developments for societies. In this chapter, Industry 5.0, one of these revolutions, is discussed. In the first section, the main themes of Industry 5.0 were examined. Afterward, the transition from Industry 4.0 to Industry 5.0 was analyzed. Then, the opportunities offered by Industry 5.0 were reviewed. Subsequently, the contributions of blockchain to Industry 5.0 were examined. Finally, the role of blockchain in Industry 5.0 is summarized.

Findings: The main themes of Industry 5.0 enable customized processes and smart production approaches. Blockchain makes significant contributions to these processes with its security and traceability features. In addition, smart contracts can increase transparency, traceability and security among stakeholders in the production process with their distributed ledger structure and immutability features. In blockchain networks, each transaction is carried out and approved by consensus. This consensus, provided by smart contracts, also secures transactions by reducing administrative costs. With these contributions, blockchain meets the security and smart management requirements of Industry 5.0.

Urban backyards hold both aesthetic and practical value, offering significant potential for native biodiversity conservation within cities. Homeowners, as the primary managers of these spaces, play a crucial role in determining whether their backyards contribute to ecological sustainability by planting native species. This study aims to investigate how New Zealand homeowners’ attitudes, behaviours and motivations influence their engagement with native planting, and identifies effective strategies to encourage this practice.

This study used an online survey targeting a diverse sample of New Zealand homeowners, designed to assess their perceptions, motivations and barriers related to native planting. Correlational and regression analyses were used to identify the factors most strongly associated with the likelihood of increasing native planting in urban backyards.

Homeowners with healthier backyards, greater native plant coverage and those who spend 6–8 h per week maintaining native plants exhibit greater satisfaction with their backyards. Key motivations for native planting include attracting wildlife, enhancing aesthetics and contributing to ecological sustainability. Younger homeowners, Maori and Pacific communities and those dissatisfied with their current backyards are particularly inclined to increase native planting. Targeted financial and educational initiatives could significantly boost native plant coverage in urban backyards, contributing to both homeowner satisfaction and broader environmental goals.

While the role of urban backyards in biodiversity conservation is recognized, there is limited understanding of how homeowners can be motivated to enhance native plant coverage. This study addresses this gap by examining the factors that drive or hinder native planting among New Zealand homeowners.

The purpose of this study aims to shorten the running-in time and improve the running-in quality of cylinder liner piston rings (CLPRs), the running-in tests were carried out and running-in parameters of CLPRs were designed based on running-in attractor theory, which can guide the choice of optimal working conditions for other friction pairs.

The running-in state and time under different working conditions are identified by the evolution law of the running-in attractor phase trajectory and fractal and chaotic characteristic quantities. The CLPRs running-in tests under different conditions were conducted and the friction signals were collected. The constructed phase trajectories and calculated chaotic parameters of the running-in attractor are obtained and the running-in state and time are identified by the evolution law of phase trajectories and chaotic characteristic quantities. The running-in quality is obtained by the surface morphology fractal dimension and characteristic roughness parameters.

The running-in parameters for short running-in time and good running-in quality are designed based on the fractal and chaotic theory and the optimal solution method are used to verify the results through the single objective or multi-objective optimization, and the corresponding optimal running-in parameters are obtained.

The optimal working condition parameters obtained from the design have guiding significance for the selection of CLPR running-in parameters, and this work can provide ideas for the other friction pairs.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2024-0179/

This paper aims to study the influence of different seal structure parameters and working conditions on the air-oil two-phase flow characteristics and leakage characteristics of the seal cavity in the bearing cavity of the aero-engine spindle bearing tester.

In this paper, the VOF method and RNG k-ε turbulence model are used to explore the flow characteristics and leakage characteristics of the labyrinth seal cavity of an aero-engine spindle bearing tester under the condition of air-oil two-phase flow.

The distribution of the lubricating oil is related to the sealing clearance and the air-oil ratio. The amount of oil leakage increases with increasing of sealing chamber clearance, air-oil ratio and inlet velocity and decreases with increasing curvature and speed. The amount of air leakage increases with sealing clearance and inlet velocity.

In comparison to the pure air-phase flow field, the air-oil two-phase flow field can more accurately simulate the lubricating oil flow in the sealing chamber.

This study aims to evaluate the safe haven property of several assets against the US and European stock markets during the Russo-Ukrainian War in a time–frequency framework.

This study uses the wavelet-based dynamic conditional correlation-generalized autoregressive conditional heteroskedasticity (DCC-GARCH) methodology and wavelet coherence on daily returns for the S&P500, STOXX600 and 13 possible save haven assets.

The results show that wheat and corn are the best assets to use as hedges and safe havens for all types of investors. The second-ranked are energy commodities, which are hedges and safe havens for long-term investors. Gold, silver and palladium display hedging and safe haven qualities for medium- and long-term investment. However, cryptocurrencies, the Dow Jones sustainability index and Islamic indices do not act as safe havens for most holding periods.

These findings have significant implications for portfolio investment strategies in times of geopolitical risks.

The contributions of this study are twofold. First, several assets from different classes were analyzed as possible candidates for safe havens. Second, to the best of the authors’ knowledge, this is the first study to analyze safe haven property through different investment horizons for the US and the European stock market indices during the Russo-Ukrainian War.

The purpose of this study is to explore the linkages between the financial triad of BSE Sensex, crude oil prices and exchange rates in India using annual data.

The analysis uses annual data from 2000–2001 to 2021–2022, which are obtained from secondary sources. To investigate the financial interactions among these variables in India, the methodology uses the vector error correction model (VECM), the Granger causality test, the impulse response function (IRF) and variance decomposition, following Johansen cointegration.

Long-term relationships among variables are disclosed by the cointegration test. The BSE Sensex is significantly influenced by crude oil prices and exchange rates, as indicated by the VECM results. Conversely, the crude oil prices and exchange rates are primarily influenced by their own historical values. The Granger causality tests confirm these findings. Variance decomposition suggests that none of the variables are exogenous in the long term. The IRF results indicate that all variables initially respond positively to shocks from other variables, but these effects diminish over time.

This study established a short-term dynamic between crude oil prices, exchange rates and stock prices, which was previously not found. It also incorporates recent economic events, such as the COVID-19 pandemic and the Russia–Ukraine war, which were previously not included. These insights provide valuable guidance for policymakers and investors. They help in developing strategies to address vulnerabilities caused by external shocks. This reinforces the importance of the study. It also highlights its contribution to the financial domain.