Motivation of patients with chronic cancer during COVID-19: a qualitative analysis.

PURPOSE: Motivation to treat cancer and prevent its negative impact has been largely explored in a non-pandemic context. However, little is known about the motivation to comply with the treatment, especially during a pandemic. To fill this gap, we have explored the individual and contextual factors impacting patients' motivation during the COVID-19 period using the integrated model. METHODS: We have conducted two qualitative studies before (study 1) and during the COVID-19 (study 2) period in a cancer centre. We respectively interviewed 30 and 22 patients with various chronic cancers in study 1 and also with COVID-19 in study 2. Data analysis was based on content analysis and grounded theory approach identifying the factors affecting patient motivations during both periods, and then comparing them. RESULTS: Our results show the mechanisms that allow patients to maintain their motivation despite the threats related to COVID-19. They underline the importance of respecting the rules and laws for patients' motivation. CONCLUSION: Compliance with legislation fuels the psychological need of protection in patients, which is a key determinant of motivation in the context of the pandemic. Considering patients' self-regulatory activities to assess motivational factors, going beyond clinical aspects, to include organisational and quality-of-life-related aspects throughout their care pathway is crucial.

Does the website credibility of online travel agencies (OTAs) affect customers' evaluation and future intentions?

In an uncertain and escalating risk period resulting from the prolonged pandemic crisis, this study aimed to identify the dimensional nature of online travel agencies' (OTAs) website credibility, and empirically investigate the effects of its components on attitude and behavioral intentions. This study was conducted by collecting 559 questionnaires from mainland Chinese OTA users in the middle of the COVID-19 pandemic. The data analyses showed that OTA website credibility comprised six components. Other proposed paths, with the exception of four, were significant at the .05 or .001 level. Interestingly, the paths between content credibility and attitude toward the OTA and between content credibility and loyalty to the OTA were not significant. However, overall, it was confirmed that OTA website credibility determined attitude toward the OTA and loyalty to the OTA, which led to behavioral intention.

Toward integrated smart city: a new model for implementation and design challenges.

In smart city architecture, information and communication technologies are used to improve living standards and its management by citizens and government. Most researchers have divided this structure into six main components: smart people, the smart government, smart environment, smart transportation, smart economy, and smart life. Due to the connection between smart cities and the challenges resulting from their implementation and especially its integration, there exists no perfect solution for the concept of an integrated smart city so far according to our studies. Some more general concepts such as security, ICT infrastructure, and knowledge are not seen integrative in these structures. Therefore, it seems that new sub-components and general extra-components should be added to the existing models to form an integrated structure in such a way that the executive projects are located in their proper place in this structure and create and guarantee the integration of the smart city. Therefore, the requirements engineering of the smart city can also be explained more precisely. This study presents a model of an integrated graph in such a way that besides maintaining and improving the model of the smart city and existing models, it will fully cover the integration and requirements engineering and methodologies of the smart city in the future. The present paper offers an upgraded model of a six-component smart city structure as a flexible integrated dynamic graph so that beside maintaining the features of existing smart city models, it ensures its integrity, dynamism, flexibility and performance and prevents the failure of smart operations. Due to its flexibility, adaptability and localization, the proposed model presented in this paper can create an integrated solution and facilitating the life cycle of executive systems and enable governments and communities to predict and prevent sudden events such as natural disasters, pandemics like Covid-19 and the like as well as managing and leading their target community in the best way.

What determines 3D printing adoption in the GCC region?

Purpose The study aims to develop an integrated model for three-dimensional (3D) printing adoption in the Gulf Cooperation Council (GCC) context to form a baseline for more theoretical and empirical debate from emerging markets. Design/methodology/approach A qualitative approach with a convenience sample is adopted since there is no formal body that has accurate data about the number of companies, governmental bodies, nongovernmental organizations, universities, labs, etc. that already have adopted 3D printing. Findings The results indicate that the technological usefulness of 3D printing and its ease-of-use factor were found to be lacking among community members and governmental officials. Yet, these factors were the most influential factor affecting the spread of 3D printing technology adoption in the GCC countries. Nevertheless, the adaptation of 3D printing is not yet at the level of its global markets, nor is it used within leading companies' assembly lines. In addition, the 3D printing awareness and use increased during the COVID-19 pandemic. Yet, the adaptation rate is still below expectations due to several challenges that face the growth of the 3D printing market in the GCC countries. The most vital challenge facing 3D printing growth is manifested in governmental policies and regulations. Practical implications Companies' managers can benefit from the current study results by focusing on the factors that facilitate 3D adoption and avoiding bottle-neck factors that hinder the speed of the 3D adoption. 3D providers can also benefit by understanding the factors that affect 3D adoption and designing their machine and marketing strategy in a way that helps the intended companies to easily adopt 3D printing. Originality/value To the best of the authors' knowledge, this is the first study that explored 3D printing adoption on the GCC countries' level. It also adds a new flavor to the literature by exploring 3D adoption during the COVID-19 crisis.

Predicting preventive travel behaviors under the COVID-19 pandemic through an integration of Health Belief Model and Value-Belief-Norm.

This study developed a conceptual framework for a preventive travel decision-making process amidst the COVID-19 pandemic, combining the Health Belief Model (HBM) and Value-Belief-Norm (VBN). Analyzing 409 responses collected from an online survey, this study verified the integrated model as a salient theory addressing the importance of social components and health belief factors in affecting behavior. The model revealed that altruistic value influences the HBM variables, whereas personal norms mediate preventive behaviors and beliefs in both VBN and HBM. These findings offer new theoretical insights into decision-making process and provide practitioners with effective crisis management strategies concerning pro-social and health beliefs.

China’s Port Carbon Emission Reduction: A Study of Emission-Driven Factors

Ports offer an effective way to facilitate the global economy. However, massive carbon emission during port operating aggravates the atmospheric pollution in port cities. Capturing characteristics of port carbon emission is vital to reduce GHG (greenhouse gas) in the maritime realm as well as to achieve China’s carbon neutral objective. In this work, an integrated framework is proposed for exploring the driving factors of China ports’ emissions combined with stochastic effects on population, affluence and technology regression (STIRPAT), Global Malmquist-Luenberger (GML) and multiple linear regression (MLR). The port efficiency is estimated for each port and the potential driving factors of carbon emission are explored. The results indicate that port carbon emissions have a strong connection with port throughput, productivity, containerization and intermodal transshipment. It is worth noting that the containerization ratio and port physical facility with fossil-free energy improvement have positively correlated with carbon emissions. However, the specific value of waterborne transshipment shows a complex impact on carbon dioxide emission as the ratio increases. The findings reveal that China port authorities need to improve containerization ratio and develop intermodal transportation;meanwhile, it is responsible for port authorities to update energy use and improve energy efficiency in ways to minimize the proportion of non-green energy consumption in accordance with optimizing port operation management including peak shaving and intelligent management systems under a new horizon of clean energy and automatic equipment.

Beyond simple messaging: a review of crisis communication research in hospitality and tourism

Purpose>Crisis communication is an essential component of crisis management in hospitality and tourism. Yet few studies have offered a clear impression of the state of knowledge in this area. As one of the early conceptual attempts, this study aims to contribute to the existing knowledge by analyzing, comparing and synthesizing the literature in crisis communication and hospitality and tourism research. This study also proposes a transactional and dynamic crisis communication model that lays the conceptual foundation for future research.Design/methodology/approach>This study was guided by a theory synthesis approach and analyzed the related literature. More specifically, this study conducted a rapid review of the general crisis communication research and a conventional, systematic review of crisis communication research in hospitality and tourism. Based on the review findings, this study further develops a transactive and dynamic crisis communication model in hospitality and tourism, which is fundamental for future studies in this area.Findings>The findings of this study are presented through a literature review of general crisis communication research and crisis communication research in hospitality and tourism and the development of a transactive and dynamic crisis communication model in hospitality and tourism.Research limitations/implications>This study reviews the literature and develops an integrated model for crisis communication in hospitality and tourism. The findings of this study lay the conceptual foundation for crisis communication in hospitality and tourism and reveal future research venues.Practical implications>By offering a state-of-the-art review and developing an integrated conceptual model, the findings of this study can help bridge the gaps between academics and practices as well as serve as references for practitioners to identify and develop effective crisis responses.Originality/value>This paper represents an early effort to review crisis communication research in hospitality and tourism and conceptualize the subject area through an integrated model. The findings of this study contribute to the further conceptual development of crisis communication in hospitality and tourism.

Leveraging community science data for population assessments during a pandemic.

The COVID-19 pandemic has disrupted field research programs, making conservation and management decision-making more challenging. However, it may be possible to conduct population assessments using integrated models that combine community science data with existing data from structured surveys. We developed a space-time integrated model to characterize spatial and temporal variability in population distribution. We fit our integrated model to 10 years of eBird (2010-2020) and 9 years of aerial survey (2010-2019) Mottled Duck count data to forecast 2020 population size along the western Gulf Coast of Texas and Louisiana. Estimates of Mottled Duck abundance were similar in magnitude to estimates calculated using previous methods but were more precise and showed evidence of a declining population. The spatial distribution for Mottled Ducks each year was characterized by several concentrations of relatively high abundance, although the location of these abundance "hotspots" varied over time. Expected abundance was higher for areas with a higher proportion of area covered by marsh habitat. By leveraging large-scale community science data, we were able to conduct a population assessment despite the disruption in structured surveys caused by the pandemic. As participation in community science platforms continues to increase, we anticipate modeling frameworks, like the integrated model we developed here, will become increasingly useful for informing conservation and management decision-making.

Understanding the consumer’s intention to use the e-wallet services

PurposeThe purpose of this paper is to investigate the key factors that explain intention to use e-wallet services (perceived usefulness, perceived ease of use, attitude, subjective norm, positive disconfirmation and perceived behavioral control). The moderating role of perceived value in the relationship between satisfaction and their intention to continue using the e-wallet is also examined.MethodologyA total of 257 e-wallet users participated in an online survey and hypotheses were tested with SPSS/PLS-SEM.FindingsThe constructs technology acceptance model (TAM), theory of planned behavior (TPB) and user satisfaction affect intention to use. However, perceived value does not strengthen the relationship between user satisfaction and e-wallet usage intention.Practical implicationsThe TAM, TPB and expectancy disconfirmation model (EDM) constructs help explain the use of e-wallet services. These results will help the providers of these services to understand user behavior and to design their marketing strategies more appropriately to ensure consumer satisfaction and their intention to use e-wallet services.OriginalityThis study adopts a holistic and integrative approach to explain the continued use of e-wallet services. The model integrates three basic adoption theories: TAM, TPB and EDM.

REGULATORY POLICY TRANSFORMATION IN CONDITIONS OF NON-STATIONARY ECONOMY IN EASTERN EUROPEAN COUNTRIES: PRACTICAL APPROACH

European economic processes have always been the center of public interest. 2010-2019 were characterized by economic development and result achievements in the conditions of information flows exchange and digital changes. However, the pandemic effects of Covid-19 have negatively influenced economic activity, causing significant uncertainty in subsequent economic processes, which were reflected in GDP trends and determined the non-stationary economic conditions. And although the first half of 2021 marks GDP growth, the economic recovery, projected in the traditional scenario, is not enough to reach the precrisis level of production again. The purpose of the study is to identify the effects on European countries economic development and to develop proposals for directions and instruments of regulatory policy transformation, which would take into account the current non-stationary economic conditions. Achieving the goal led to the usage of scientific and practical methods of cognition, including the method of deduction and induction, system analysis, synthesis, generalization, mathematical methods and models. The study characterizes the nature of non-stationary economic development and identifies the need for regulatory influence to ensure further economic growth. The analysis proposes to use GDP as an indicator of economic processes dynamics with the specification of system of direct and indirect influence factors using a multifactor dynamic model. The assessment of depth and nature of their impact allowed to divide them by the stationary and non-stationary criterion. On the basis of received values the directions of regulatory policy transformation in the conditions of non-stationary economic processes have been offered.

Improved integration of single-cell transcriptome and surface protein expression by LinQ-View.

Multimodal advances in single-cell sequencing have enabled the simultaneous quantification of cell surface protein expression alongside unbiased transcriptional profiling. Here, we present LinQ-View, a toolkit designed for multimodal single-cell data visualization and analysis. LinQ-View integrates transcriptional and cell surface protein expression profiling data to reveal more accurate cell heterogeneity and proposes a quantitative metric for cluster purity assessment. Through comparison with existing multimodal methods on multiple public CITE-seq datasets, we demonstrate that LinQ-View efficiently generates accurate cell clusters, especially in CITE-seq data with routine numbers of surface protein features, by preventing variations in a single surface protein feature from affecting results. Finally, we utilized this method to integrate single-cell transcriptional and protein expression data from SARS-CoV-2-infected patients, revealing antigen-specific B cell subsets after infection. Our results suggest LinQ-View could be helpful for multimodal analysis and purity assessment of CITE-seq datasets that target specific cell populations (e.g., B cells).

Daily CO2 Emission Reduction Indicates the Control of Activities to Contain COVID-19 in China.

Lockdown measures are essential to containing the spread of coronavirus disease 2019 (COVID-19), but they will slow down economic growth by reducing industrial and commercial activities. However, the benefits of activity control from containing the pandemic have not been examined and assessed. Here we use daily carbon dioxide (CO2) emission reduction in China estimated from statistical data for energy consumption and satellite data for nitrogen dioxide (NO2) measured by the Ozone Monitoring Instrument (OMI) as an indicator for reduced activities consecutive to a lockdown. We perform a correlation analysis to show that a 1% day-1 decrease in the rate of COVID-19 cases is associated with a reduction in daily CO2 emissions of 0.22% ± 0.02% using statistical data for energy consumption relative to emissions without COVID-19, or 0.20% ± 0.02% using satellite data for atmospheric column NO2. We estimate that swift action in China is effective in limiting the number of COVID-19 cases <100,000 with a reduction in CO2 emissions of up to 23% by the end of February 2020, whereas a 1-week delay would have required greater containment and a doubling of the emission reduction to meet the same goal. By analyzing the costs of health care and fatalities, we find that the benefits on public health due to reduced activities in China are 10-fold larger than the loss of gross domestic product. Our findings suggest an unprecedentedly high cost of maintaining activities and CO2 emissions during the COVID-19 pandemic and stress substantial benefits of containment in public health by taking early actions to reduce activities during the outbreak of COVID-19.