The psychology of cruise service usage post COVID-19: Health management and policy implications

Smoking cessation policy and treatments derived from the protective motivation of smokers: a study on graphic health warning labels

Introduction

Smoking is a leading public health risk. Many countries are reducing the demand for tobacco through graphic health warning labels (GHWLs). This study aims to explore smokers' perceptions of GHWLs and analyze the effect of GHWLs on their behavioral intentions to quit smoking.

Methods

A theoretical model is designed by synthesizing protection motivation theory, an extension of the extended parallel process model, and the theory of planned behavior. We collected a cross-sectional sample of 547 anonymous smokers through a stratified random sampling strategy. GHWLs published in 2011 by the US Food and Drug Administration were used in the survey to assess smokers' responses to them, and then the hypotheses are validated through structural equation models.

Results

The results suggest that perceived severity, perceived vulnerability, response efficacy, and health anxiety have a significant impact on smokers' protection motivation. Furthermore, smokers' protection motivation directly impacts the behavioral intention to quit smoking and indirectly influences intention to quit through attitudes.

Discussion

These findings have practical implications for the implementation and improvement of GHWLs policies. Meanwhile, this study enriches the literature on public health protection measures (i.e., GHWLs) and smokers' behavioral intention to quit smoking.

Willingness to participate in virtual reality technologies: Public adoption and policy perspectives for marine conservation

Greater efforts are required to educate the public about marine conservation as the marine environment continues to deteriorate over time. A way to remotely travel during the pandemic is provided by virtual reality technologies in marine ecotourism. In order to present a theoretical framework that explains consumers' propensity to participate in virtual reality technology, this study draws on the theories of perceived risk, trust, and attitude. An online survey with 451 respondents was administered in Singapore and structural equation modeling was applied to analyze the data. The results reflect that perceived health risk, perceived financial risk, perceived social risk, and perceived performance risk, mediated by trust and attitude, have a significant influence on consumers' willingness to participate in virtual reality technologies in marine ecotourism. After analyzing their total effects, trust was found to have the highest effect on willingness to participate, followed by attitude, perceived social risk, perceived financial risk, perceived health risk, and perceived performance risk. Overall, the present research offers new perspectives on comprehending the drivers of willingness to participate, as well as implicating policies to raise public awareness of marine conservation, as well as to raise more money to support marine conservation initiatives.

Increasing Couriers' Job Satisfaction through Social-Sustainability Practices: Perceived Fairness and Psychological-Safety Perspectives

Due to the spike in online-retail demand during the pandemic, couriers confront increased workload and safety concerns, posing significant social-sustainability challenges for courier companies. This study explores the impact of social-sustainability practices on couriers' job satisfaction in the context of the COVID-19 pandemic. We designed the research model from the theoretical lens of Maslow's hierarchy of needs, equity, and psychological-safety theories. We collected the views of 428 couriers from the Chinese market, where there is a developed e-commerce industry. The structural-equation-model analysis results found that social-sustainability practices such as working environment, working conditions, health and safety, education, and training positively affected the job satisfaction of couriers during the pandemic through the mediators (psychological safety and perceived fairness). These findings provide empirical recommendations for improving employees' job satisfaction in courier companies during COVID-19 and addressing the social-sustainability issues of courier companies.

Cruising through a pandemic: Or not?

The features of the cruise value offering that once appealed to the cruising market have changed as a result of COVID 19. This paper employs a choice experiment to reveal how COVID-19 has influenced consumer preferences for and trade-offs between specific aspects of the cruise experience across four different COVID-19 scenarios. Such insight is highly valuable for cruise organisations seeking to better understand the evaluative criteria by which their consumer segments are now making decisions. Theoretically, this study employs Protection Motivation Theory to determine how ones self-rated ability to protect themselves against the virus while cruising may in turn influence choice behaviour. Our research is the first to report actual choice behaviours of cruise consumers adopting a choice modelling method.

Consumer acceptance of autonomous delivery robots for last-mile delivery: Technological and health perspectives

The unprecedented outbreak of the novel coronavirus has led to a great shift toward online retailing and accelerated the need for contactless delivery. This study investigates how technological and health belief factors influence consumer acceptance of autonomous delivery robots (ADRs). Anchored in four behavioral theories [i.e., technology acceptance model, health belief model, perceived value (VAL) theory and trust theory], a synthesized model is developed. A total of 500 valid responses were collected through an online questionnaire in Singapore, and structural equation modeling was conducted to examine the responses. The results revealed that perceived ease of use (EOU), perceived usefulness (UFN), perceived susceptibility (SUS), perceived severity (SEV), self-efficacy (SEL) and cues to action (CUE) have a positive and significant influence on consumers' perceptions of the value of ADRs. The total effect analysis also showed that perceived VAL strongly affects consumer acceptance of ADRs. Academically, this study introduces both technological and health belief factors to explain consumer acceptance of ADRs. It also provides recommendations for policymakers and autonomous delivery robot developers on policy formulation, public communication, product design and infrastructure development.

Public Health and Online MICE Technology During the COVID-19 Pandemic: The Role of Health Beliefs and Technology Innovation

The traditional meetings, incentives, conferences, and exhibitions (MICE) industry has been hit hard by social distancing regulations introduced to combat the COVID-19 pandemic, with concerns about pandemic risks and personal hygiene increasing the demand for online MICE technology. With the introduction of innovative new technologies to the MICE industry, it is important to study the psychology of online MICE attendees, particularly the factors affecting their behavioral intention to adopt online MICE technology during the pandemic. This study investigates the attitudes toward attending online MICE since the start of the epidemic based on the health belief model (HBM) and innovation diffusion theory (IDT). A total of 439 valid questionnaires were collected in China and used for structural equation modeling. The results show that the perceived safety threat, the comparative advantage, trialability, and outcome expectations positively impact the attendees' attitudes. Moreover, this study finds that attitude completely mediates the impact of perceived safety threat, comparative advantages, trialability, and outcome expectation on behavioral intention to attend online MICE events. These findings theoretically enrich the understanding of online MICE technology, the HBM, and the IDT and offer managerial implications for MICE organizers and exhibitors.

Social Distancing, Health Concerns, and Digitally Empowered Consumption Behavior Under COVID-19: A Study on Livestream Shopping Technology

During the COVID-19 pandemic, livestream shopping has provided consumers with a way to maintain social distancing while offering an alternative to offline shopping. This study aims to understand the impact of COVID-19 and other public health crises on the behavioral intentions of consumers using livestream shopping technology. A theoretical model was designed that combines the health belief model, trust theory, and the theory of planned behavior. Empirical data were collected from 358 residents in China and then analyzed using structural equation modeling. The results showed that perceived susceptibility, perceived severity, perceived benefits, and perceived obstacles had a significant impact on consumer trust. Consumer trust in turn had a direct impact on behavioral intention and an indirect impact on behavioral intention via attitude. These research results have practical implications for livestream shopping merchants, platform decision-makers, and service designers.