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Social media offers better prospect for travellers to seek for travel information, choose a location and share their personal travel experiences. The current study aims to examine how tourists gather information from YouTube shorts and its influence on their intention to use it for selection of an ecotourism destination.

The conceptual model of the study is constructed on information adoption model (IAM). An adaptive questionnaire was utilised to gather 374 valid responses. Partial least square structural equational modelling (PLS-SEM) was utilised for data analysis.

The results showed a positive significant relationship between all the constructs of IAM. The findings also show significant mediating effect of attitude and moderating effect of involvement between information quality and adoption also between source credibility and information usefulness.

This study will help destination marketers by providing valuable insights to them to promote their destinations more effectively on social media platforms. This study will also help travel influencers in understanding what are the factors they should focus on while providing information about ecotourism destination. It will additionally help the local economy and conveys a message to travellers about responsible travel behaviour when selecting or visiting ecotourism destination.

This is the very first attempt to investigate the adoption of YouTube shorts information and formulating behavioural intentions to utilise it for ecotourism destination selection.

In a competitive environment, effective communication between doctors and patients is vital throughout their hospital experience. This study focuses on nonverbal communication in the Indian healthcare context to attain the following objectives: i) to examine the relationship between nonverbal communication cues (e.g. facial expressions, gestures, body language) and emotional response of patients in hospital settings; ii) to assess the impact of positive nonverbal communication on patients’ revisit intention to the same hospital; and iii) to identify specific nonverbal communication behaviors or cues that significantly contribute to positive patient experiences and satisfaction.

Data for this study was collected from patients who visited both government and private hospitals during their respective outpatient departments. The data was collected from a specific sample of 320 respondents using a simple random sampling technique; however, only 303 responses were used for the analysis, with the remaining responses excluded due to their incompleteness. In this study, multiple-item scales were used to assess each construct. The survey instrument used in this research was divided into four parts, with the Hospital Service Evaluation section specifically focusing on the nonverbal communication of employees, emotional responses and customer satisfaction.

Kinesics, paralanguage and physical appearance have statistically significant and positive relationships with positive emotion. Proxemics does not have a statistically significant relationship with positive emotion. None of the predictors (kinesics, proxemics, paralanguage and physical appearance) show statistically significant relationships with the dependent variable (negative emotion). Positive emotion has a statistically significant and strong positive relationship with customer satisfaction. Positive emotion has a substantial impact on customer satisfaction. There is no statistically significant relationship between negative emotion and customer satisfaction. There exists a weak influence of negative emotion on customer satisfaction.

Hospitals should consider providing training programs for healthcare professionals to improve their nonverbal communication skills. This can be done by organizing workshops on body language, voice modulation and personal grooming, enabling staff to effectively convey empathy, warmth and professionalism to patients. To reduce the impact of negative emotions, hospitals should implement mechanisms for promptly addressing and resolving issues that can prevent negative experiences from affecting customer satisfaction. By implementing this, hospitals can effectively leverage nonverbal communication to enhance customer satisfaction and motivate patients to revisit the facility for their healthcare needs.

Originality report is based on turnitin software: 19% – Similarity Index; 15% – internet sources; 22% – publications; 16% – student papers. The similarity is mainly because of reference which is used to conduct this study. In this study, there are some words, such as kinesics, proxemics, paralanguage and physical presence, which are used many times in the study, so there is more similarity.

In today’s knowledge-based economy, companies are hugely driven by intangible resources such as intellectual capital. However, whether corporate governance of a company drives intellectual capital is less explored in emerging economies. We examine the impact of intellectual capital efficiency on firm performance for Indian firms, considering the moderating role of board gender diversity.

We have created a framework for panel data analysis and conducted estimation using the dynamic panel data model to control for endogeneity and heteroskedasticity issues. We use alternate performance and gender diversity measures for our sample of top 500 listed companies for a period of six years, that is 2015–2020.

The results demonstrate a significant positive association between intellectual capital and performance. However, moderating impact of gender diversity on the relationship between intellectual capital and performance is not significant.

The findings indicate that IC plays a crucial role in a company’s performance, which may boost economic growth. Further, the findings reveal that despite the mandatory quota for women on boards in Indian companies, their impact on IC is subliminal. It may be because the critical mass is yet to be achieved, which should be considered by policy-makers while framing policies in this area.

Our study is one of the foremost studies to consider the impact of mandatory gender quotas while examining the association between tangible and intangible firm performance. It makes an incremental contribution to literature to enrich our understanding on the influence of gender diversity on intellectual capital-performance linkages.

This study aims to provide insight into consumer behavior regarding the use of food delivery apps when making purchases. To investigate the primary elements affecting users' intentions to use meal delivery applications, this study suggests an extension to the technology acceptance model through some contextual variable such as “various food choices (VFC),” “trust (TRR),” “perception of COVID-19-related risks (PCR)” and “convenience (CONV)” during the pandemic.

A cross-sectional data of 407 was collected in the Indian context. This research adopts the covariance-based structural modeling approach to test the hypotheses along with hierarchical regression to predict the efficiency of constructs.

Considering the outcomes, “perceived usefulness (PU)” was positively influenced by “perceived ease of use (PEOU),” “VFC” and “CONV.” In addition, the attitude (ATT) was positively impacted by “PU,” “TRR” and “PEOU.” Nevertheless, “PCR” negatively influenced ATT. In additional, this research illustrates the positive impact of ATT and PU on behavioral intention to use.

By confirming the technology acceptance model's capacity for explanation in relation to food delivery apps, this study adds to the body of knowledge. The primary focus of this study is on determining the direct impact of the identified determinants on the adoption of food delivery applications within the context of a pandemic situation in developing countries.

In the present era, artificial intelligence (AI) is transforming and redefining the lifestyles of society through its applications, such as chatbots. Chatbot has shown tremendous growth and has been used in almost every field. The purpose of this study is to identify and prioritize the factors that influence millennial’s technology acceptance of chatbots.

For the present research, data were collected from 432 respondents (millennials) from Punjab. A fuzzy analytical hierarchy process was used to prioritize the factors influencing millennials’ technology acceptance of chatbots. The key factors considered for the study were information, entertainment, media appeal, social presence and perceived privacy risk

The findings of the study revealed media appeal as the top-ranked prioritized factor influencing millennial technology acceptance of chatbots. In contrast, perceived privacy risk appeared as the least important factor. Ranking of the global weights reveals that I3 and I2 are the two most important sub-criteria.

Data were gathered from the millennial population of Punjab, and only a few factors that influence the technology acceptance of chatbots were considered for analysis which has been considered as a limitation of this study.

The findings of this study will provide valuable insights about consumer behaviour to the business firm, and it will help them to make competitive strategies accordingly.

Existing literature has investigated the factors influencing millennials’ technology acceptance of chatbots. At the same time, this study has used the multi-criteria decision-making technique to deliver valuable insights for marketers, practitioners and academicians about the drivers of millennials’ technology acceptance regarding chatbots which will add value to the prevailing knowledge base.

This paper aims to explore the experiences of mental health-related stigma among youth in Dubai, United Arab Emirates, particularly emerging in the context of families through parental attitudes. Although the existing research has focused on families as victim or recipient of stigma related to mental health, the role of families in perpetuating this stigma remains under-researched. This study investigates origins of such stigma operating within families and its impact on youth.

Semi-structured interviews were conducted with 40 youth participants in Dubai. Thematic analysis was used as method of analysis.

Findings show that parental attitudes or beliefs towards mental health are predominantly stigmatizing in nature that discourages disclosure and open dialogue among youth and renders them vulnerable to self-stigmatization. Stigma internalized by the youth manifests in the form of their low self-worth, negative self-perception and worsening their mental health challenges.

This paper contributes to nuanced understanding of stigma operating in informal settings such as families and establishes family as a site of intervention to mitigate stigma towards mental health of youth in early stages.

In recent years, the development of metaheuristic algorithms for solving optimization problems within a reasonable timeframe has garnered significant attention from the global scientific community. In this work, a new metaheuristic algorithm inspired by the inflection mechanism of the avian influenza virus H5N1 in poultry and humans, taking into account its mutation mechanism, called H5N1.

This algorithm aims to explore optimal solutions for optimization problems by simulating the adaptive behavior and evolutionary process of the H5N1 virus, thereby enhancing the algorithm’s performance for all types of optimization problems. Additionally, a balanced stochastic probability mechanism derived from the infection probability is presented. Using this mechanism, the H5N1 algorithm can change its phrase, including exploitation and exploration phases. Two versions of H5N1, SH5N1 and MH5N1, are presented to solve single-objective optimization problems (SOPs) and multi-objective optimization problems (MOPs).

The performance of the algorithm is evaluated using a set of benchmark functions, including seven unimodal, six multimodal, ten fixed-dimension multimodal to solve SOPs, ZDT functions and CEC2009 has been used to demonstrate its superiority over other recent algorithms. Finally, six optimization engineering problems have been tested. The results obtained indicate that the proposed algorithm outperformed ten algorithms in SOPs and seven algorithms in MOPs.

The experimental findings demonstrate the outstanding convergence of the H5N1 algorithm and its ability to generate solutions of superior quality.

The metaverse is reshaping the fashion industry, offering new insights into innovation diffusion. This study aims to examine how perceived innovation characteristics influence unrestrained buying behavior, using flow as a mediator. By integrating innovation diffusion and flow theory, it explores how technostress and self-control moderate the impact of innovation characteristics on flow.

A cross-sectional, quantitative study was conducted using multistage sampling to examine unrestrained purchase behavior. Data from 457 Asian consumers were collected via surveys and analyzed using SPSS 22.0, AMOS V.24 and MACRO PROCESS.

This study indicates that although the metaverse website’s perceived characteristics of innovation increase user flow and encourage unrestrained buying behavior, technostress and self-control weaken the relationship between how users perceive innovation (in terms of its benefits like relative advantage and compatibility) and their ability to experience flow. However, when it comes to complexity, both technostress and self-control do not significantly moderate the relationship between complexity and flow.

This study reveals how metaverse innovation is reshaping Asian consumers’ views of the fashion industry. It helps marketers and advertisers understand the metaverse’s impact on unrestrained buying behavior and its growing importance for the fashion sector.

This study offers a framework for understanding how Asian consumers’ adoption of metaverse technology is transforming the fashion industry. It adds to the literature by assessing innovation attributes and their impact on unrestrained purchasing in virtual worlds.

El Metaverso está remodelando la industria de la moda, ofreciendo nuevas perspectivas sobre la difusión de la innovación. Este estudio examina cómo las características percibidas de la innovación influyen en el comportamiento de compra sin restricciones, utilizando el flujo como mediador. Al integrar la Teoría de la Difusión de la Innovación y la Teoría del Flujo, explora cómo el tecnostres y el autocontrol moderan el impacto de las características de innovación sobre el flujo.

Se realizó un estudio cuantitativo y transversal utilizando muestreo por etapas múltiples para examinar el comportamiento de compra sin restricciones. Se recolectaron datos de 457 consumidores asiáticos a través de encuestas y se analizaron utilizando SPSS 22.0, AMOS V.24 y MACRO PROCESS.

El estudio indica que, aunque las características percibidas de la innovación del sitio web del metaverso aumentan el flujo de los usuarios y fomentan el comportamiento de compra sin restricciones, el tecnostres y el autocontrol debilitan la relación entre cómo los usuarios perciben la innovación (en términos de sus beneficios como ventaja relativa y compatibilidad) y su capacidad para experimentar flujo. Sin embargo, en lo que respecta a la complejidad, tanto el tecnostres como el autocontrol no moderan significativamente la relación entre la complejidad y el flujo.

El estudio revela cómo la innovación en el Metaverso está remodelando las percepciones de los consumidores asiáticos sobre la industria de la moda. Ayuda a los profesionales del marketing y la publicidad a comprender el impacto del Metaverso en el comportamiento de compra sin restricciones y su creciente importancia para el sector de la moda.

Este estudio ofrece un marco para comprender cómo la adopción de la tecnología del metaverso por los consumidores asiáticos está transformando la industria de la moda. Aporta a la literatura evaluando los atributos de innovación y su impacto en las compras sin restricciones en mundos virtuales.

元宇宙正在重塑时尚产业, 并为创新扩散提供了新的见解。本研究探讨感知创新特征如何影响无节制购买行为, 并将“心流”作为中介变量。此外, 研究融合了创新扩散理论与心流理论, 进一步分析技术压力与自我控制如何调节创新特征对心流的影响。

本研究采用横断面定量研究方法, 并运用多阶段抽样策略以考察无节制购买行为。通过问卷调查收集了来自457名亚洲消费者的数据, 并利用SPSS 22.0、AMOS V.24和MACRO PROCESS进行数据分析。

研究结果表明, 元宇宙网站的感知创新特征能够增强用户的心流体验, 从而促进无节制购买行为。然而, 技术压力与自我控制削弱了用户对创新的感知（如相对优势和兼容性）与其心流体验之间的关系。然而, 在复杂性维度上, 技术压力与自我控制对复杂性与心流之间的关系并未表现出显著的调节作用。

本研究揭示了元宇宙创新如何重塑亚洲消费者对时尚产业的认知, 为营销人员和广告商提供了关于元宇宙如何影响无节制购买行为的见解, 并凸显了其在时尚行业日益增长的重要性。

本研究构建了一个分析框架, 以理解亚洲消费者对元宇宙技术的采纳如何推动时尚产业的变革。研究通过评估创新特征及其对虚拟世界中无节制购买行为的影响, 进一步丰富了相关文献。

The purpose of this study is to explore the influence of key factors of unified theory of acceptance and use of technology model 2 (UTAUT2) on the behavioral intention (BI) to accept and use of e-government services in Tunisia.

The research was conducted out with a sample of 203 participants. Confirmatory factor analysis was employed to evaluate the validity of the model, and Structural equation modeling was utilized to test the research hypotheses.

The results indicated that performance expectancy was the most significant predictor of the intention to accept and use e-government services. Facilitating conditions, social influence, effort expectancy and habit had a positive influence on BI to accept and use of e-government services. However, hedonic motivation and price value do not have a significant effect on BI to accept and use of e-government services. It was also found that BI to use e-government services had a significant influence on the actual use of e-government sites.

The proposed model can be used as a guideline for e-government strategy formulation and implementation for the Tunisian Government.

This paper is among the first to investigate e-government services adoption in Tunisia using the UTAUT2 model.

This study aims to identify factors that affect the intention and actual adoption of cashless payment (ACP) among Vietnamese youths. Extending the unified theory of acceptance and use of technology (UTAUT) model with two impelling factors (perceived trust [PTR] and lifestyle compatibility [LCM]), this study also examined the mediating effect of intention to adopt cashless payment (ICP) on the relationships of UTAUT model components with the actual ACP.

All data were collected online from 422 Vietnamese youths through online survey, and partial least squares structural equation modelling was performed to analyse the data.

The study’s results illustrated the positive and significant effects of performance expectancy, effort expectancy, facilitating conditions, LCM and PTR on ICP. However, social influence was found to exhibit a negative effect on ICP. Furthermore, ICP was found to contribute no mediation effects on the relationships of any of the components with the actual ACP.

This study’s findings are widely useful for marketers and managers to plot their promotional and campaigning strategies, emphasising factors that motivate consumers to adopt cashless payment. The obtained findings also benefit architects and designers in designing products and services by consolidating lifestyle standards and other requirements of consumers. Policymakers should implement policies and strategies to enforce rules and educate the public to widely adopt cashless payment across various sectors.

This study extended the UTAUT model with two new variables, i.e. PTR and LCM.