Cruise transport service usage post COVID-19: The health belief model application

Assessment of Health Values, Beliefs, Norms, and Behavior towards Consumption Intention of 3D-Bioprinted Meat

Continuous innovation in product development further enhances consumer appeal and contributes to a more sustainable and ethical food system. This study used the health belief model (HBM) and value-belief-norm (VBN) theory to investigate the customer perceptions of and intentions towards 3D-bioprinted meat. Specifically, this study examined consumer behavior factors using higher-order partial least squares structural equation modeling (PLS-SEM). Data were collected from 738 meat consumers through online survey questions, distributed among social groups and face-to-face distribution-limiting only to respondents who are familiar with 3D-bioprinted meats. Using a filtering question, only those who are familiar with and have knowledge of the topic were considered valid respondents. Based on the results, all variables under the integrated theories were deemed significant. Consumers' perceptions of 3D-bioprinted meat are also shaped by altruism, egoism, biospheric concern, and willingness to change. The findings revealed that buyers rationally choose benefits over social or personal values. The study emphasized educating consumers, being transparent about production, and constantly innovating for higher acceptance of 3D-bioprinted meat. In order to foster consumer confidence, it is essential to prioritize transparency in the production process, encompassing information regarding sourcing and manufacturing methods. Certifications that validate safety and quality standards serve to reinforce this notion. In addition, the implementation of competitive pricing strategies has the potential to enhance the accessibility of 3D-bioprinted meat, whereas industry partnerships can aid in distribution operations and improve market visibility-all of which extend the practical implications developed for this study. Moreover, the foundation of the integrated framework promotes its extension and application outside technology-based meat production. This could also be considered and utilized among other studies on developed food and food consumption.

Application of the extended value-belief-norm (VBN) theory to understand consumers' intention to use autonomous delivery vehicles (ADVs)

Emissions from transportation fuel vehicles are polluting the environment more than ever before. Currently, autonomous delivery vehicles (ADVs) are welcomed by logistics service providers and lots of consumers in general for their significant contribution in reducing environmental pollution and increasing delivery efficiency. However, there is a lack of in-depth research on consumers' willingness to adopt ADVs, despite the fact that ADVs are innovative delivery method in the field of last-mile delivery. The purpose of the study is to expand the existing knowledge of consumers' adoption behaviors by developing and testing the extended Value-Belief-Norm (VBN) theory in autonomous delivery literature. In particular, the study adds subjective norms and COVID-19 risk into the original VBN model as a theoretical framework to gain a comprehensive understanding of the consumer decision-making processes with respect to their intentions to use ADVs. Structural equation modeling is conducted using data from a web-based survey of 561 consumers through an online sample platform. The results of the study demonstrated that both subjective norms and COVID-19 risk are all related with consumers' intention to use ADVs. The casual chain hypotheses of the extend VBN theory mentioned in our study are all supported. The results of the study make significant theoretical and managerial contributions to the field of last-mile delivery and the adoption behaviors of emerging technologies.

Compulsory insurance for cruise vessels as a preparation for the next pandemic: Law of the sea perspective

During the COVID-19 pandemic, many port states faced difficulty when cruise vessels with COVID-19 patients tried to dock at their ports. Although they are basically not obliged to accept such vessels under international law, they cannot easily deny access because the refusal would be viewed as a lack of humanitarian consideration. On the other hand, accepting such vessels leads to the risk of exposing their own nationals to COVID-19 and incurring the financial cost of medical treatment for cruise passengers. In fact, in the cases of Diamond Princess, Costa Atlantica, and Zaandam and Rotterdam, the question of who should take on the financial burden for medical costs of crews and passengers on board these vessels was debated. The current international legal framework does not provide any answer to this question, and therefore, a new framework is needed. If the new framework allocates the economic burden to ensure the provision of tests and medical care so that an intolerably heavy burden is not imposed on port states, they will be more welcoming to cruise vessels with infected people. Such allocation could be realized by requesting that carriers provide a compulsory insurance system for medical care in a pandemic.

Observation of covid-19 safety protocols by persons with chronic health conditions in Ghana: The influence of health belief model

Covid-19 has brought distortion to health delivery globally and made it challenging to seek healthcare, but persons with chronic health conditions who require continuous medical attention have suffered the most as all attention at the medical front was directed to covid-19 related issues. The study explores how the five primary constructs of the health belief model were used to drive adherence to covid-19 preventive protocols among persons with chronic health conditions in Ghana. A quantitative technique was used for data collection and analyses. SPSS version 21 and AMOS version 21 were used to analyze data. Hierarchical regression from SPSS were used to examine the influences of health belief model constructs on chronic patients' adherence to covid-19 preventive protocols. The study's finding indicates that perceived susceptibility, severity, and self-efficacy influence adherence to covid-19 protocols among persons with chronic conditions. While perceived benefits and perceived barriers though they have negative and positive influences on adherence, they were not statistically significant. Perceived self-efficacy has a negative influence on the perceived barrier and a positive influence on perceived benefit. Gender has positive influence on Perceived susceptibility. The study's outcome indicated that persons with chronic health conditions need special arrangements to ease their access to healthcare during outbreaks. Hence, public health professionals need to educate chronic patients on how to practice the covid-19 preventive protocols and support them with covid-19 preventive materials to increase their self-efficacy to adhere to covid-19 protocols.

A combined theory-based explanatory model for predicting tourists’ travel intentions during the COVID-19 pandemic: the role of individual’s assessment of the compliance with non-pharmaceutical interventions

This study examines the impact of the COVID-19 pandemic and tourist’s assessments of non-pharmaceutical public-health interventions (NPIs) in relation to their travel intentions. It uses a combined theoretical model that incorporates the Domain-Specific Risk-Taking Scale (DOSPERT) in the recreational domain, the Health Belief Model (HBM) and the Theory of Planned Behaviour (TPB). A large-scale population study that is representative of Switzerland has been carried out to validate the model (N = 1683; 39% response rate). We use a regression model based on mean indices for our explanatory model. Health beliefs, namely perceived susceptibility and severity, are important predictors of travel intentions. The perceived benefits of and barriers to compliance with NPIs when travelling also have a substantial influence on travel intentions. The results demonstrated that the factors of the HBM tend to have a stronger influence than other significant factors, such as the perceived behavioural control of the TPB. As a situational context, the ability to work from home increases the intention to travel. The achievement of the present research is a validated empirical theory-based model that is suitable for practical and managerial implications. It can be used to create and evaluate measures and interventions that address the social psychological influencing factors.

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.

Cruising Under and Post the COVID Pandemic: Toward Realization of the United Nations’ Sustainable Development Goals

Maritime sectors have always dealt with uncertainties and disruptions. The COVID pandemic confronted the cruise industry with profound, wide-ranging, and lasting challenges while disrupting normal operations. Although the cruise industry contributes to the implementation of the United Nations Sustainable Development Goals (UN SDGs), resumption and sustainable cruising requires the industry to adapt to the challenges presented. To this end, the paper suggests adaptive actions for the cruise sector to respond to the pandemic and links the actions to the UN SDGs to highlight their sustainable contributions. A system thinking approach is applied and a literature review is conducted to identify suitable adaptive actions. This paper shows the importance of UN SDGs 3, 4 and, in particular, 17 for sustainable cruising. The results of this paper provide support for informed decision-making to increase the cruise industry’s sustainability. This paper recommends that stakeholders: 1- identify drivers and barriers of sustainable cruising, 2- adapt to changes and embrace the UN SDGs, as they provide a platform for realizing sustainability, and 3- use educational programs to improve and transfer knowledge on sustainable cruising between academia and policymakers.

Structural and Logical Model of Transport Maritime Functioning Based on Modeling Information Technology

The article presents the sectoral structure of cruise (maritime) tourism and identifies the factors influencing the level of demand and supply of cruise tourism products. The sources of the influence of the cruise industry on the economic growth of the state and the welfare of its citizens are also considered. On the basis of specific features of cruise tourism functioning and the peculiarities of creating a cruise tourism product, a model of the functioning of a cruise (maritime) tourism complex has been built. Representation of the relationship of tourist needs according to the hierarchy of needs and a species classification of cruise tourism and the industries involved in its development is also given. The model of indicators and the structural components described are built in an environment of geoinformation modeling.