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The modern diesel engine in its many designs and types presents varied problems to the lubrication engineer.

This study is a theory-building effort to extend the risk perception attitude (RPA) framework by considering an organization-related factor. Specifically, this study examined how an organization-related factor, namely safety climate, and individual-related factors, namely risk perception and efficacy belief, jointly influence flight attendants’ occupational health and safety (OHS) information seeking intent.

About 486 flight attendants from an international air carrier, based in Hong Kong, participated in an online survey. Hierarchical regression was employed to examine the three-way interaction of risk perception, efficacy belief, and safety climate.

Results showed that safety climate moderated the effect of efficacy belief on the relationship between risk perception and OHS information seeking intent. For flight attendants who perceived a high safety climate, those who felt more efficacious had a higher intent for OHS information seeking than those who felt less efficacious. In contrast, for flight attendants who perceived a low safety climate, when they perceived a high level of risk, those with low efficacy had a higher information seeking intent than those with high efficacy.

Although the RPA framework has shown its potential to explicate how individual employees engage in OHS information seeking behavior, the framework has largely overlooked the importance of organization-related factors as an influential shaping force of individual employees’ behavior. To fill this research gap, this study extends the RPA framework by examining how safety climate moderates the relationship between risk perception and efficacy belief on flight attendants’ OHS information seeking intent. Safety climate also plays an important role in segmenting audience groups for OHS promotion.

This bibliometric study provides an overview of research related to digital transformation (DT) in the tourism industry from 2013 to 2022. The goals of the research are as follows: (1) to identify the development of academic papers related to DT in the tourism industry, (2) to analyze dominant research topics and the development of research interest and research impact over time and (3) to analyze the change in research topics during the pandemic.

In this study, the authors processed 3,683 papers retrieved from the Web of Science and Scopus. The authors performed different types of bibliometric analyses to identify the development of papers related to DT in the tourism industry. To reveal latent topics, the authors implemented topic modeling based on latent Dirichlet allocation with Gibbs sampling.

The authors identified eight topics related to DT in the tourism industry: City and urban planning, Social media, Data analytics, Sustainable and economic development, Technology-based experience and interaction, Cultural heritage, Digital destination marketing and Smart tourism management. The authors also identified seven topics related to DT in the tourism industry during the Covid-19 pandemic; the largest ones are smart analytics, marketing strategies and sustainability.

To identify research topics and their development over time, the authors applied a novel methodological approach – a smart literature review. This machine learning approach is able to analyze a huge amount of documents. At the same time, it can also identify topics that would remain unrevealed by a standard bibliometric analysis.

It became a fact, and the world's countries went under confinement due to the pandemic of the Covid19. There are severe impacts on tourism with the supply chain experiencing a full pause. This research investigates the influence of governance, media coverage, crisis severity, former travel practice and Covid-19 incidences on the perceived risk related to travel and tourism during the pandemic and in cross-countries.

We collected the data from a sample of 1845 individuals from more than 12 countries and four continents representing quarantined and most impacted areas in the world in March and April 2020. A multilevel linear model was applied to predict the perceived risk across countries as a level 2 research unit.

The finding confirms the clustering in the data with media coverage, governance and crisis growth affecting the outcome. There are cross-level interaction effects, as the growth rate of the pandemic per country and media coverage impact tourists' perception of risk. Finally, there are lower-level direct effects, with lower-level variables affecting tourists' perceived risks.

The survey is randomly administered online due to the nearly complete quarantine implemented in the studied areas. Besides, and considering the latter, the responses might have been subjective due to the non-containment of the crisis by the study's time, directing to possible alteration of feelings and responses from respondents. This leads to suggest a future extension of this research, similarly, post-crisis.

This research pinpointed the impacts of predictors, concerning the countries' level, during the crisis phase on the perceived risk. Therefore, it gives insights into professional bodies on future concerns to be considered during the recovery phase.

It is no surprise that garbage is not garbage for some. It is money. This is why garbage has been overestimated to a point that money allocated for waste-to-energy (WtE) projects feed individual pockets. Many countries have already adapted WtE as a successful solution for both energy and waste crisis. Although in Sri Lanka six WtE projects were promised, the government abruptly decided that it would not have any more projects other than the two plants that were under construction. The purpose of this paper is to analyse barriers to the implementation of WtE projects in Sri Lanka.

An exploratory case study was selected as the research strategy to achieve the research aim. In total, two WtE megaprojects, which have been initiated implementation in Sri Lanka, were used as cases. A total of 12 semi-structured interviews with four personnel from each case and four government officials were used as the data collection technique. Data analysis was carried out using code-based content analysis. The barriers were extracted through analysis of case findings using an abductive analysis. The strategies to mitigate identified barriers were formulated based on attributes highlighted through case study findings and further validated through the opinions of three experts.

Barriers were analysed using the PESTEL framework to get ample insight into barriers that impact on the implementation of WtE projects in Sri Lanka. Less support from the government due to their less awareness on WtE, high investment and operational cost, lack of expert knowledge on WtE technologies in Sri Lanka, absence of a proper regulatory framework for implementation WtE technologies, lengthy process and delay in getting approvals from government process, poor attitudes of public and their protests due to the less awareness on WtE are the foremost barriers identified in this study. Further, strategies were proposed based on the empirical research findings to overcome barriers to facilitate the successful implementation of WtE projects in Sri Lanka.

So far only two WtE megaprojects have been initiated the implementation in Sri Lanka. Therefore, the scope of the study was limited only to those projects. Moreover, the type of waste considered in this study is municipal solid waste (MSW), which has become a bigger problem in Sri Lanka.

The current study unveils an analysis of barriers for implementation of WtE projects in Sri Lanka, including strategies for mitigating identified barriers. The findings would enable relevant stakeholders, i.e. policymakers, industry practitioners, investors, government bodies and researchers to make informed decisions on implementation of WtE projects and thereby promote successful implementation of WtE projects in Sri Lanka.

This study examines perceived transparency of direct-to-consumer (DTC) genetic testing communication and measures its impact on consumers' trust, attitudes, and the intention to recommend the test to others.

An online survey of US–based adults (over 18 years of age) (N = 271) was administered by the online panel company Qualtrics Panels. The sample consisted of participants who have taken a DTC genetic test previously because only existing consumers could provide insight into companies' transparency about the entire genetic testing process (including the communication before, during, and after) as they experienced it. Participants were asked questions that measured intention to recommend DTC genetic tests to others, trust, attitude toward the DTC testing, and perceptions of transparency of the DTC companies' communication.

Results indicated that consumers who perceive DTC genetic testing companies to be transparent in their communication tend to trust the genetic testing process more, have more positive attitudes toward DTC genetic tests, and are more likely to recommend the tests to others.

This study integrates corporate communication and science communication through the theoretical framework of transparency. It empirically demonstrates that message transparency is key to increasing the publics' trust, attitude and behavioral intentions toward companies that involve sensitive health information or online privacy.

This paper answers previous calls to explore the organizational approach of science communication in the context of the under-examined companies in the science and health sectors, specifically the DTC genetic testing industry.

A firm is technically efficient when it produces the maximum level of output for a given level of input on the assumption that technology is fixed. Although the above definition of technical efficiency has been around for decades, economists have, for the most part, been estimating average production functions (i.e. production functions that assume that all firms are technically efficient except for random noise), and then proceeding to make inferences regarding the potential of firms from this average production function.

This chapter honors the opportunity I have had to learn with David Maines over the past 35 years. I connect my research on communication and disability, specifically among individuals who are blind and visually impaired, to Maines' discussion of narratives incorporating Rawlins' exploration of similarity and difference. I discuss narratives of disability as difference using three examples: A short story written by H. G. Wells; the American with Disabilities Act; and interviews conducted with elite blind goalball athletes. I conclude with 10 lessons learned about disability and difference including that the goal of my research is to help us all perceive disability as a difference that matters, but not as a difference that disables.

Retailers recently have started communicating their corporate social responsibility (CSR) commitments to their consumers directly on social media. That is to say, CSR communication has expanded to social media that allow two-way communication, distinct from traditional CSR communication channels. As transparency has been recognised as a crucial factor influencing the effectiveness of traditional CSR communication, this study investigated its role in the social media context.

A two-level, single-factor (i.e. transparency of a mock retail company's CSR communication) between-subjects experimental design was employed, and 237 responses from an online survey were used for PROCESS macroanalysis.

Transparent CSR communication was found to increase the consumers' perceived CSR credibility and attitude toward the company, which influenced consumers' subsequent purchase intention (functionalistic outcome) and intention to respond to the CSR communication (constitutive outcome). The results of the study also corroborated that consumers' level of elaboration when processing CSR communication on social media depends upon their level of concern over the social issue.

The study extends the elaboration likelihood model (ELM) to CSR communication in the social media context by validating that consumers' level of information elaboration is determined by their level of concern over the social issue. In addition, it provides the first empirical support for the significance of transparent CSR communication on social media and explains the mechanism of transparency's influence. Transparency indirectly affects consumers' behavioural intentions by forming a favourable attitude toward a retailer. The findings can help retail practitioners communicate CSR commitments persuasively on social media. The study also integrates functionalistic and constitutive perspectives of social media CSR communication, which is notable and discussed in depth.

The purpose of this paper is to propose and test a model examining how three influential organizational factors – authentic leadership, transparent organizational communication, and employee engagement – are linked to employee trust.

This study conducted an online survey on a random sample of 391 employees across different industry sectors in the USA.

Authentic leadership, transparent organizational communication, and employee engagement directly and significantly influenced the level of trust that employees have toward their organizations. Authentic leadership indirectly impacted employee engagement through transparent organizational communication. Authentic leadership also indirectly affected employee trust via the presence of transparent organizational communication and employee engagement.

The study informs communication managers and organizational leaders with the importance of integrating authentic leadership and transparent communication skills, strategies, and tactics in various training and mentoring workshops. Creating a motivating, nurturing, and transparent organizational environment contributes to employee engagement and trust.

This study examines the drivers of employee trust by testing the effects of employee engagement, authentic leadership, and transparent organizational communication.