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This research investigates the barriers for Complementary and Alternative Medicine (CAM) adoption among the patients in India. Despite the established role of CAM in the Indian healthcare system for several years, the WHO (WHO) reports limited adoption of these therapies among Indian patients. This study investigates the key barriers toward wider CAM use within the Indian context.

This study used a combined interpretive structural modeling (ISM)-MICMAC approach to identify barriers to CAM usage. In the first phase, a comprehensive literature review was conducted to understand the barriers. Subsequently, experts in the Indian healthcare system were identified and interviewed to capture the contextual intricacies of these barriers within the Indian context.

The study identified ten key barriers to CAM adoption through ISM. A hierarchical model was developed to understand the relationships and interactions among these barriers, revealing their linkages. A MICMAC chart was created to determine the driving and dependent power of the barriers, categorizing them as dependent barriers, linkage barriers or independent barriers. The House of CAM framework was then derived from the ISM-MICMAC analysis, providing a structured, sequential approach for CAM adoption.

The awareness of the potential benefits and usage of CAM is significantly low among Indian patients. There is a pressing need to investigate and systematically conceptualize the barriers to CAM adoption. This research provides valuable insights for policymakers, insurers, practitioners of alternative and complementary medicine, multi-specialty hospitals offering CAM services and regulatory bodies. Understanding these barriers will enable these stakeholders to develop and implement strategies that effectively address these issues.

This research makes substantial contributions to the understanding of barriers to the adoption of CAM. Through a comprehensive investigation, the study introduces the House of CAM framework developed using ISM-MICMAC analysis, providing a strategic approach for targeted intervention against identified barriers.

This study aims to analyze online responses to gain insights into public attitudes and concerns regarding traditional Chinese medicine (TCM) among Hong Kong residents. By addressing gaps in understanding public sentiment, this study contributes to the development of effective health-care policies.

Responses were collected from Baby-Kingdom.com using Python, gathering 17,568 TCM-related comments from 2016 to 2023. Analysis involved an eight-theme codebook and sentiment and semantic network analyses with DiVoMiner.

Most responses expressed positive sentiments and attitudes toward TCM. The analysis revealed recurring topics related to conditioning and specific diseases, including gynecological problems. Clinic service quality, fair pricing and convenient locations were also highlighted.

This study examines the networked public sphere and the Theory of Planned Behavior regarding TCM, emphasizing online forums’ impact on attitudes and highlighting gaps in service access, using big data and an interdisciplinary approach.

The findings of this study from Baby-Kingdom.com emphasize the need to improve the accessibility of TCM-related discussions. An official platform for professionals is proposed, with government support for reliable information and partnerships with local universities to expand services.

This study provides valuable insights into the popularity of TCM in Hong Kong, which may encourage uptake and use of TCM services in the health-care sector in not only Hong Kong but also the Greater Bay Area, China and potentially other countries in the future.

This study aims to examine the dynamic effect of FinTech on financial stability, with the moderating role of green finance (GF), its dimensions and mechanisms in the context of the spillover effects of the COVID-19 shock. This study used balanced panel data from 148 countries, including 76 developed and 72 emerging nations, from 2005 to 2022.

The research utilized the dynamic two-step system (GMM), and robustness was performed with the bootstrapped panel quantile regression.

The findings reveal that FinTech significantly affects financial stability across the entire sample. The overall composite of GF boosts financial stability by improving financial soundness. The GF dimensions, such as environmental, resource and financial, positively influence FS, while the GF economic dimension hurts FS. The moderating role and all interaction terms of GF dimensions with FinTech contribute positively and significantly to FS. While the interaction term GF resources with FinTech negatively impacts FS, indicating that countries should utilize resources more efficiently. Additionally, the COVID-19 spillover effect negatively influences FS across all samples. In advanced countries, FinTech and green finance positively affect FS. In emerging countries, green finance (except for the resource dimension) and FinTech interactions enhance financial stability, (except for the environmental dimension), leading to environmental hazards from their highly intensive industrial carbon policies.

The findings suggest that policymakers should prioritize promoting the adoption of initiatives related to FinTech and green finance by integrating sustainable transition finance policy frameworks to maintain stability and foster low-carbon economies for a sustainable future.

Improved financial stability has more significant social effects, such as better investment instruments, confidence and economic growth. Policymakers can leverage these findings to establish resilient financial ecosystems, fostering sustainable economic development and decreasing the risk of financial crises.

This study offers novel insights into how FinTech and multi-dimensional green finance effect financial stability in advanced and emerging nations. It provides unique insights into context-specific dynamics and enhances the literature on financial stability.

Understanding the role of mental health stigma in the workplace and its effect on employment for parents of children with mental health disabilities is limited. Using a conceptual approach to stigma that incorporates four interrelated stigma types, a scoping review of the literature was conducted to locate research on mental health stigma within the workplace directed at parents of children with mental health disabilities. Twenty-six research articles and 12 websites met the study inclusion criteria. Findings confirm parents of children with mental health disabilities experience public, self, courtesy, and structural stigma in the workplace, which affects their workforce participation. Articles in the review report limited strategies available to parents to combat stigma and discrimination due to public mental health stigma. Gaps in the literature and opportunities for parents, parent support organizations, workplaces, and policy-makers are discussed.

This paper aims to examine the impact of female board directorship on the quality of key performance indicators voluntary disclosure (hereafter QKPI). Further, this paper explores whether the presence of family board members mitigates the female directors’ effect on the QKPI.

This study explores closely held family firms listed on the CAC All-Tradable during 2015–2022.

The initial findings provide consistent evidence indicating a positive association between female board directorship and the QKPI. However, testing for the moderating effect of family board members on the linkage between female representation in the company’s boardroom and the QKPI reveals a negative relation.

This study focuses on gender equality in French-listed companies, a topic that has received little attention from researchers. The country and the period considered in this paper are noteworthy characteristics that enhance the value of this research. This study sheds light on issues concerning the 2016 law that requires quotas for women on boards of directors in French firms.

The present study explores the possible ramifications of insomnia and sleep quality on attitudes and expectations from a hotel accommodating guests suffering from insonia and poor sleep quality.

The current study adopts a quantitative dominant (QUAN + qual) concurrent mixed methods design. 20 participants (11 women and nine men) aged 22 to 80 participated in the qualitative research. Purposeful sampling (n = 369) was employed to solicit participants for the quantitative phase of the study.

Findings suggest that subjective norm influence is significantly associated with service quality expectations and intentions to visit a hotel accommodating sleep-deprived individuals. Hotels accommodating such guests possess a substantial competitive advantage.

While our study provides valuable insights, it is essential to note that the data was collected from a single country. Therefore, caution should be exercised when generalizing the findings to hotel guests from other countries. This highlights the need for future research to explore cross-cultural aspects of sleep disorders and their impact on the interaction between hotel service providers and guests.

The study results underscore the importance of understanding and addressing the unique needs of travelers’ with sleep disorders. They also emphasize the added benefit of better accommodating other guests who do not necessarily suffer from the disorder to enjoy substantially more sleep.

The extant tourism literature focuses on neurological disorders. However, the possible ramifications of insomnia and poor hotel sleep quality on travel, guest preferences, expectations and choices were mostly overlooked.

With recent advances in artificial intelligence, the hospitality industry has introduced the concept of unmanned smart hotels staffed by service robots instead of human employees. Research is needed to understand consumers’ receptivity to such an innovation. This paper examines factors associated with consumers’ potential resistance to using automated service hotels via two sequential studies. Given that younger generations of consumers are typically early adopters of advanced technology and innovative services, our sampling approach focused on this consumer group.

Two studies were conducted. Study 1 proposed and empirically tested a theoretical model. Results revealed that attitude, subjective norms and perceived behavioral control each positively influenced individuals’ intentions to use unmanned smart hotels. In Study 2, we further investigated aspects informing perceived security, a key variable in the use of unmanned smart hotels.

Findings showed how people’s beliefs about unmanned smart hotels and security control assurances led to perceived security. These perceptions were shaped by perceived physical risks, privacy concerns, website design and hotel reputation. Overall, this research provides theoretical and practical implications for various stakeholders associated with unmanned smart hotels.

Findings of this study suggested that managers of unmanned smart hotels should design user-friendly, secure processes and offer comprehensive support resources to enhance customer experience and usage.

The findings provide a holistic understanding of consumers’ receptivity to unmanned smart hotels.

The purpose of this paper is to investigate the role of accounting measurement and disclosure of social capital (AMDSC) in improving financial performance (FP) in industrial companies in the Kurdistan Region of Iraq (KRG) and Sulaimani city. The research also examines the mediating role of reliability of financial information (RFI) between AMDSC and FP.

This research uses SmartPLS to analyze the questionnaire that was sent to 10 industrial companies operating in the iron sector during 2021.

The findings reveal that AMDSC has a significant effect on improving the FP of the industrial companies in KRG. The results also confirm that the RFI mediates between AMDSC and FP. Thus, this suggests that social capital (SC) needs to be considered in the companies’ strategy to secure future financing in this area.

This paper is limited to the iron sector of KRG/Sulaimani city. Future studies could address other sectors, such as sugar, cement, clothes, automobiles and medicines.

This paper focuses on improving FP in industrial companies in KRG and Sulaimani city through considering SC in their companies’ strategies, as there was no concern for SC in KRG before.

This study aims to examine the association between institutional investors’ ownership (IOW), politically connected firms (POCF) and audit report lag (AUDRL).

This study employs a feasible generalised least squares (FGLS) model for panel data to examine the association between IOW, POCF and AUDRL for Malaysian publicly listed companies.

The findings reveal a statistically significant negative relationship between IOW and AUDRL, with this negative relationship being more pronounced amongst POCF. Additionally, the results demonstrate that the relationship between IOW and AUDRL varies depending on the domicile of IIs (local vs. foreign). Specifically, local institutional investors exhibit a negative and statistically significant relationship with AUDRL, whilst foreign institutional investors show a positive and statistically significant relationship with AUDRL.

The results of this study provide a new understanding of auditor responses to institutional investor monitoring and political connections (PCs) in an emerging economy.

This study examines the impact of firm-level climate risk exposure (FCRE) on firm stock liquidity by using a sample of Indian-listed firms from the financial years 2003–2004 to 2022–2023. Further, it endeavors to investigate the moderating role of environmental, social and governance (ESG) disclosure in this relationship.

A novel text-based FCRE metric is introduced using a sophisticated Word2Vec model through a Python-generated algorithm for each firm and year based on the management discussions and analysis (MD&A) reports. The panel fixed effect model is used to study how FCRE affects stock liquidity.

The result shows that FCRE negatively affects firms’ stock liquidity, and the effect remains robust after addressing endogeneity concerns. In addition, we find that a high ESG disclosure rating significantly moderated the adverse effect of FCRE. Furthermore, our analysis reveals that investor sentiment, information quality, corporate life cycle and institutional holdings moderate the impact of FCRE on liquidity.

The study offers valuable insights for investors, managers and policymakers on integrating climate risk into investment strategies, improving corporate climate governance and shaping policies that incentivize sustainable corporate behavior.

To the best of our knowledge, this study is an early study to explore the relationship between firm-specific climate risk exposure and stock liquidity using advanced machine learning techniques. It contributes to the existing literature by illustrating how climate risk can lead to adverse market reactions while highlighting the critical roles of corporate ESG practices, investor sentiment and disclosure quality in influencing this relationship.