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In tourism live streaming (TLS), streamers strive to capture viewers’ attention by responding quickly to viewers’ requests and providing tourism-related knowledge. However, the effectiveness of such practices in the TLS context remains unclear. Accordingly, based on flow theory, this study aims to uncover the effects of responsiveness and knowledge spillover on viewers’ travelling intentions.

The authors collected 319 valid questionnaires to examine the proposed model. Followingly, the authors used a partial least squares structural equation modelling approach using SmartPLS 4 to analyse the survey data.

The authors found that responsiveness could enhance viewers’ flow experience and destination attachment, fostering travelling intentions. The authors further found that knowledge spillover strengthened the relationship between responsiveness and travelling intentions and responsiveness and flow experience.

This study broadens the scope of extant tourism research by juxtaposing the effects of responsiveness and knowledge spillover on viewers’ travelling intentions in the TLS context. Practically, the findings provide valuable insights for streamers to conduct appropriate viewer–streamer interaction strategies by providing instant responses and tourism-related knowledge to viewers.

在旅游直播中, 主播常常通过快速响应观众并提供目的地知识, 以吸引观众注意。然而这种策略是否有效地提升了观众的旅游意愿仍需进一步验证。因此, 本研究基于心流理论验证了响应性及知识溢出效应对观众旅游意愿的影响。

我们通过评估319份有效问卷来检验所提出的模型, 采用了SmartPLS软件构建偏最小二乘结构方程模型（PLS-SEM）分析问卷数据。

我们发现, 响应性将增强观众的心流体验和目的地依恋感, 从而促进旅游意愿。此外, 知识溢出效应强化了响应性和旅游意愿及响应性和心流体验之间的关系。

本研究同时关注响应性及知识溢出在旅游直播情境下对观众旅游意愿的影响机制。从实践层面, 本研究为旅游主播提供了高效互动及目的地推广的策略。

En las retransmisiones turísticas en directo (TLS), los organizadores se esfuerzan por captar la atención de los espectadores respondiendo de forma rápida a sus peticiones y aportando conocimientos relacionados con el turismo. Sin embargo, la eficacia de estas prácticas en el contexto de la retransmisión turística en directo sigue sin estar clara. Por consiguiente, este estudio, basado en la teoría del flujo, trata de descubrir los efectos de la capacidad de respuesta y la difusión de conocimientos en la intención de viajar de los espectadores.

Se recogieron 319 cuestionarios válidos para examinar el modelo propuesto. Seguidamente, se aplicó la técnica de ecuaciones estructurales con mínimos cuadrados parciales (PLS-SEM) mediante el software SmartPLS para analizar los datos de la encuesta.

Se concluye que la capacidad de respuesta mejoraría la experiencia de flujo de los espectadores y el apego al destino, fomentando su intención de viajar. Además, se comprueba que la difusión de conocimientos fortalece la relación entre (1) la capacidad de respuesta y la intención de viajar y (2) la capacidad de respuesta y la experiencia de flujo.

La presente investigación amplía el enfoque de los estudios existentes en la investigación turística al aproximar los efectos de la capacidad de respuesta y la difusión de conocimientos sobre la intención de viajar de los espectadores en el contexto de retransmisiones turísticas en directo. Desde el punto de vista práctico, los resultados aportan ideas para que los streamers empleen estrategias de interacción apropiadas con los espectadores, proporcionándoles respuestas instantáneas y transmitiéndoles conocimientos relacionados con el turismo.

The mobile medical consultation (MMC) service is growing rapidly, but not all consumers are always willing to actively engage with it. To address this issue, based on IT identity theory, this study explores the underlying mechanism of how two types of platform-related consumer experience influence MMC platform identity, in turn, result in consumer negatively-valenced engagement in MMC.

The data was collected from 400 consumers with the experience of MMC and analyzed by the partial least square (PLS) method.

The findings unfold that these two distinct consumer experience, servicescape experience (i.e. perceived telepresence and perceived platform surveillance) and service search experience (i.e. perceived diagnosticity and perceived serendipity), are associated with MMC platform identity and consumer negatively valenced engagement with MMC.

Research on consumer negatively-valenced engagement in the field of MMC is still in a nascent stage. The study identifies consumer experience in accordance with the unique context of the MMC platform and fills the research gap on the role of IT identity in consumer negatively valenced engagement.

Based on the key dimensions of the Metaverse environment (immersiveness, fidelity and sociability), this paper aims to develop the concept of sensory word-of-mouth (WOM) in Metaverse – the metaWOM. It attempts to upgrade the Reviewchain model and suggests the utilization of non-transferable tokens (NTTs) in curbing the explosion of fake WOM.

Following Macinnis’ (2011) approach to conceptual contributions, the authors browsed the currently available literature on WOM, Metaverse and NTT to portray the emergence of metaWOM.

By relying on Metaverse’s three building blocks, the authors map out the persuasiveness of metaWOM in the Metaverse-like environment. By incorporating NTT in the Reviewchain model, the authors upgraded it to provide a transparent, safe and trusted review ecosystem. An array of emerging research directions and research questions is presented.

This paper comprehensively analyzes the implications of a Metaverse-like environment on WOM and debates on technologies that can enhance the metaWOM persuasiveness. The proposed model in this paper can assist various stakeholders in understanding the complex nature of virtual information-seeking and giving.

This is the original attempt to delineate the sensory aspect of WOM in the Metaverse based on three crucial aspects of the Metaverse environment: immersiveness, fidelity and sociability. This paper extends the discussion on the issue of fake reviews and offers viable suggestions to curb the ever-growing number of fraudulent WOM.

The present study examines the antecedents of learned helplessness, i.e. intrinsic and environmental constraints and consequences, i.e. intention to travel and expectation in the context of people with disability (PwD) tourism context by applying the “Theory of Learned Helplessness”.

The survey method was used to gather data from 209 physically disabled people who had visited/traveled to any tourist destination in the past twelve months. Structural equation modeling technique was used to analyze data.

The findings reveal that intrinsic and environmental constraints positively influence learned helplessness. Consequently, learned helplessness negatively effects intention to travel and positively affects expectation of PWD tourist' toward a travel destination. Furthermore, learned helplessness contributed as a mediator between intrinsic constraints and intention to travel toward a tourist destination.

Even though the body of literature on associations studied pertaining the conceptual lens of learned helplessness is widely recognized, there is dearth of literature investigating the connections between travel constraints, learned helplessness, PwDs intention and their expectation in travel destination context.

Message stream advertising (MSA) has become an increasingly popular option for advertising on mobile social media. However, MSA is often avoided by consumers, and this avoidance deserves more research attention. The purpose of this study is therefore to identify the underlying mechanism and key variables that affect consumer avoidance of MSA in the context of mobile social media.

A face-to-face survey was administered to current mobile users of WeChat (N = 438). Structural equation modeling was conducted to test the relationships in the research model.

Results revealed that mobile consumers employ mechanical avoidance methods (i.e. zipping, muting and zapping) against MSA. The findings also demonstrated that advertising intrusiveness (stimulus) is directly linked to negative emotions, perceived entertainment and sense of control (organism), which, in turn, relate to MSA avoidance (response).

The study contributes to the MSA avoidance literature by using the stimulus-organism-response model to deepen the understanding of consumers' MSA avoidance on mobile social media, and it suggests important managerial implications for advertising practitioners and platform operators.

The construction industry contributes significantly to national economic growth and offers substantial opportunities for job creation; however, the industry has continually been plagued by workplace accidents. Moreover, employers may not realize the economic magnitude of workplace injury and ill health arising from construction activities. These accidents represent a considerable economic and social burden to employers, employees and to the society as a whole. Despite governments and organisations worldwide maintaining an ongoing commitment towards establishing a working environment free of injury and disease, a great deal of construction accidents continues to frequent our society. The purpose of this study is to conduct an analysis of a sample of 100 construction accident reports to establish, as far as practically reasonable, the total costs of limited types of construction accidents. Costs attributable to each of these accidents were classified either as direct or indirect costs. Through an exhaustive and time-consuming investigation of all available records from various sources and/or kept in various departments, the individual costs were correlated to the various direct and indirect categories.

This particular study is a combination of explanatory and collective case study approaches, whereby causal effects are determined or a course of events is examined from multiple cases. The preferred form of data collection is left to the researcher to decide (Yin, 2003). When a researcher is considering “how” or “why” questions, a contemporary set of events using primary and secondary documents, over which the researcher has little or no control, the case study approach is feasible (Yin, 2009).

The costs of construction accidents for the same sample of 100 construction analysed in this study has been estimated at a staggering R32,981,200. Of this total, R10,087,350 has been attributed to direct costs and R22,893,850 has been attributed to indirect costs. The costs of construction accidents are based on four cost components: sick pay, administrative costs, recruitment costs and compensation and insurance costs. It should be noted that the estimates of the costs to employers presented in this study are reflective of the activities and incidents of the reviewed organisation and may not necessarily represent another organisation. The costs of construction accidents values presented in this study reveal that construction accidents present a substantial cost to employers and to the society at large, inclusive of both the direct and indirect costs. It is therefore in the best interest of the employer to identify progressive and advanced approaches to more effectively manage construction health and safety, consequently society at large will benefit tremendously.

Given the high rate of construction accidents experienced, employers are not entirely mindful of the actual costs of construction accidents, especially when considering the hidden or indirect costs of accidents. Various safety research efforts have attempted to quantify the true costs of worker injuries; however, localised systematic information on cost of construction accidents at work is not readily available from administrative statistical data sources; therefore, this study was carried out to estimate the costs, like lost workdays or lost income, are clearly visible and can readily be expressed in monetary value; for a large part,0 however, economic consequences of accidents are somewhat hidden.

As a tool to help compliance with relevant health and safety legislation, a cost‐effective method of risk assessing construction workers' exposure to hand‐arm vibration (HAV) is presented that allows larger numbers of workers to be evaluated, either as a stratified sample of a population or as a population where numbers are not prohibitive.

The method, developed and tested in the field with a national UK contractor, employs work study to collect exposure level data of workers undertaking real work and analyse these, to inform HAV management and risk control decisions.

The method benefits from economies of scale to efficiently risk assess large numbers of workers, without the need for specialist equipment or analysis software. It can be applied to sample strata defined by, for example, equipment used, types of work or classifications of worker.

Results add to the growing body of academic knowledge relating to construction worker HAV exposure and its management.

The method can easily be moulded to suit any type of construction organisation and help control cost associated with HAV legislation compliance.

Potential benefits of controlled HAV exposure include reduced incidence of (HAV induced) medical conditions and concomitant personal financial gains to society.

The method and context are novel. The methodology of work study and sampling in a broader sense are well established.

This study aims to use mixed methods to create a new conceptual framework to understand the unique characteristics of virtual tourism experiences (VTE), which has not been systemically examined.

Study 1 uses topic modeling with Latent Dirichlet Allocation to analyze 91,609 online reviews from the Airbnb Experience platform. Study 2 uses content analysis of open-ended qualitative responses from VTE customers. The two studies together are used to build a new conceptual model.

Building upon the Stimulus–Organism–Response (S-O-R) model and the experience economy, results present a new conceptual model and identify VTE as unique in terms of Stimulus (education, entertainment, esthetics, escapism and connection), Organism (experiencing synchronicity, telepresence, participation and customization, emotion) and Response (evaluation and behavioral responses). Given the uniqueness of VTE, the new construct of the virtual servicescape is incorporated, recognizing the host, the focal customer and other customers, and the technology as the four main components.

The proposed framework can be used to guide the design, development, and evaluation of VTE, including identifying the key considerations, engagement within the ecosystem and providing guidance to hosts and operators.

To the best of the authors’ knowledge, this is the first study that systematically explores VTE and proposes the theoretical framework to comprehensively understand this new form of experience in sharing economy by combining the unique aspects of the stimulus, organism, response and virtual servicescape.

The purpose of this paper is to perform an analysis of how pets in general and dogs in particular condition the planning and realisation of people’s trips. Similarly, the motivations that lead families to travel with their pets in Spain are analysed.

The methodology used in this research consisted of carrying out fieldwork based on surveys of 1,696 dog owners in Spain. The data analysis was carried out using a Partial Least Squares methodology (PLS-SEM) to test the relationship of the families with their pets, the motivations they have for travelling with their pets and the assessment of the destination by both the family and the pet itself.

The main results of this research focus on analysing how and when a family plans a trip with their pet, except for their second home, there are several motivations for both families themselves and their pets, which condition this trip and that must be considered by tourist destinations. Similarly, it is also concluded that the motivations are closely related to the attachment that the family has to the pet.

The originality of this research focuses on including the relationship of the family with their dog and the adequacy of the destination to the needs of their pet as motivation to make a certain trip or choose a certain destination.

This study aimed to explain how a framework could be developed for (1) the preliminary estimation of project safety level (PSL) in current projects, (2) the estimation of the maximum possible PSL using limited financial resources and (3) the estimation of the minimum financial resources required for reaching a specific PSL.

The data of 95 steel structural building projects were collected via a questionnaire to evaluate the proposed framework for the Iranian construction industry. Based on unofficial local construction statistics and literature reviews, six safety influential factors (SIFs) were selected to which a cost could be assigned. The costs associated with various levels were also determined for each SIF through literature reviews and expert interviews. A multiple linear regression (MLR) model was developed as a predictive model to determine PSL for future projects based on the data of previous projects. Moreover, linear programming (LP) was applied to take modeling constraints and project conditions into account.

The results demonstrated the impacts of all the factors on PSL and the model's potential for the preliminary estimation of PSL using SIFs. The results also indicated that a higher PSL could be achieved by optimizing the allocation of financial resources to each SIF.

This study contributes to the existing body of knowledge by developing a step-by-step framework to identify an optimal safety cost allocation (OSCA) to achieve the maximum possible PSL using a limited safety budget and considering the data of similar projects. The main objective was to promote project safety, decrease construction site injuries and fatalities and help local construction industries exploit potential financial advantages.