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The dynamic stability of orthotropic cylindrical thin shells of exponentially variable geometric and mechanical parameters is studied by using Galerkin and Ritz type variotional methods. The qualitative and quantitative effects of the external geometry, material properties, and design features on the critical loads, corresponding wave numbers, and the dynamic factor are evaluated. Comparing results with those in the literature validates the present analysis.

The purpose of this paper is to compare customer perceptions of hotel and peer-to-peer (e.g. Airbnb) accommodation advantages and disadvantages and examine their influence on customer satisfaction and repurchase intentions. The advantages of each accommodation type are conceptualized through perceived travel experience authenticity, whereas the disadvantages are evaluated through the risks associated with staying at each accommodation type, including product performance risk, time/convenience risk and safety and security risk.

A cross-sectional survey was designed and disseminated to gather the data necessary to fulfill the study objectives. A total of 391 usable responses were collected for a multi-group analysis of the structural model designed to test the proposed relationships.

The multi-group comparison revealed similarities between the peer-to-peer (Airbnb) and hotel guest structural models. Model testing revealed a strong positive relationship between satisfaction and repurchase intention. Perceived authenticity was identified as a statistically significant satisfaction predictor for both accommodation types. Time/convenience and product performance risks were found to be insignificant predictors of guest satisfaction, while safety and security risk appeared to be statistically significant only in the Airbnb sample.

This study’s recruited sample represented a higher concentration of younger travelers, and, therefore, might only be generalized to the corresponding US traveler group population. Additionally, samples recruited via Amazon’s MTurk may be subject to self-selection bias as any other non-probability samples. Consequently, further research with a larger and more diverse sample is recommended.

It is recommended for both hotels and Airbnb to strengthen the authenticity of their accommodation offerings to provide a better guest experience and increase consumer satisfaction.

To develop the authenticity component, Airbnb hosts and hotels may offer local experiences to their customers, where guests would be able to engage with the community and to see and feel how the city lives. Such partnerships may not only improve the traveler experiences but also support the local community and strengthen the ties between local businesses.

This study contributes to the literature by advancing understanding of peer-to-peer (Airbnb) versus hotel accommodation consumer preferences. This study offers relevant theoretical constructs for assessing both accommodation types’ advantages and disadvantages.

With the rapid development of sharing economy, travelers are facing choices between conventional hotels and the peer-to-peer sharing accommodation in urban tourism. The purpose of this study is to examine how travelers form their preferences in such choice situations and whether/how their preference formation mode would change with the COVID-19 pandemic.

A relative preference model was constructed and estimated for both domestic and outbound tourists, based on two waves of survey data collected before and after the COVID-19. The results of this study were compared to derive the evolution of preference formation patterns.

A set of 15 key value attributes and personal traits was identified, together with their differential effects with the pandemic. Their divergent effects between domestic and outbound trips were also delineated. Based on these findings, the competitive edges and advantageous market profiles were depicted for both hotel and sharing accommodation sectors.

This study contributes to the knowledge of tourists’ preference between accommodation types and adds empirical evidences to the impact of the pandemic on tourist behavior patterns. Both hotel and sharing accommodation practitioners can benefit from the findings to enhance their competitiveness.

As a result of the COVID-19 pandemic, teacher education in Qatar, similar to many countries around the world, witnessed a succession of disruptions to the way it operated. The disruption continued throughout much of 2020, and the need to adapt to arising changes and concerns permeated all aspects of teacher education, particularly the practicum experience. The chapter presents our attempt to investigate the influence of an adapted practicum experience which was based on the synthesis of qualitative evidence (SQD) model on the development of six student teachers’ technology knowledge and skills. Using a qualitative case study research design, we collected data from multiple data sources, including pre–post-interviews and weekly reflection logs. Quantitative data collected from a pre–post-administration of the SQD survey and TPACK (Technological Pedagogical and Content Knowledge)-practical survey were used to triangulate the qualitative data. Findings from the thematic analysis and descriptive statistical analysis revealed evidence for participants’ increased TPACK-practical knowledge and skills, specifically in the domains of practical teaching and curriculum design. However, an emerging theme revealed that participants considered technology before pedagogy during instructional design. Findings also revealed two challenges to participants’ further development, namely working within a restricted learning environment and experiencing limited mentoring opportunities. We illustrated several implications for the design of the practicum experience and the required institutional support within the context of continued disruption to education and thereafter.

Developing and developed countries are working to step up the process of digitalization according to their existing capacities. Digital transformation affects all departments from production to marketing and is correlated with important outcomes such as productivity, performance and efficiency. It is thought that this revision can bring disadvantages along with its many advantages. When the studies are evaluated, it's seen that the revision has an effect on employment. Compulsory changes in management and organization structures, necessity of developing new models in product and production alterations are some of the consequences of the risk due to Industry 4.0. Customer satisfaction, cyber-security dangers, monopolization and tax loss in the country must not be ignored. Within this scope, this chapter focusses on dystopic and Industry 4. It is thought that the dystopic effects of Industry 4 will allow the organizations to provide the necessary preliminary preparations. Major basic factors such as employment technical infrastructure and financial resources, and with the right strategies, can be managed to make it easier for a revolutionary change.

In this paper, the authors examine how economic growth shapes the shadow economy in the long and short run.

Using annual time series data from Uganda, drawn from various data sources, covering the period from 1991 to 2017, the authors apply the ARDL modeling approach to cointegration.

This paper finds that an increase in economic growth significantly reduces the size of the shadow economy, in both the long and short run, all else equal. However, the long-run relationship between the shadow economy and growth is non-linear. The results suggest that the rise of the shadow economy could partially be attributed to the slow and sluggish rate of economic growth.

These findings imply that addressing informality requires addressing underlying factors of underdevelopment since improvements in economic growth also translate into a reduction in the size of the shadow economy in the short and long run.

These findings reveal that the low level of economic growth is an issue because it spurs informal sector activities in the short run. However, as the economy improves, it becomes an incentive for individuals to operate in the informal sector. Additionally, tackling shadow activities in the short run could help improve tax revenue collection.

Today, e-government (electronic government) applications have extended to the frontiers of health-care delivery. E-Nabız contains personal health records of health services received, whether public or private. The use of the application by patients and physicians has provided efficiency and cost advantages. The success of e-Nabız depends on the level of technology acceptance of health-care service providers and recipients. While there is a large research literature on the technology acceptance of service recipients in health-care services, there is a limited number of studies on physicians providing services. This study aims to determine the level of influence of trust and privacy variables in addition to performance expectancy, effort expectancy, social influence and facilitating factors in the unified theory of acceptance and use of technology (UTAUT) model on the intention and behavior of using e-Nabız application.

The population of the study consisted of general practitioners and specialist physicians actively working in any health facility in Turkey. Data were collected cross-sectionally from 236 physicians on a voluntary basis through a questionnaire. The response rate of data collection was calculated as 47.20%. Data were collected cross-sectionally from 236 physicians through a questionnaire. Descriptive statistics, correlation analysis and structural equation modeling were used to analyze the data.

The study found that performance expectancy, effort expectancy, trust and perceived privacy had a significant effect on physicians’ behavioral intentions to adopt the e-Nabız system. In addition, facilitating conditions and behavioral intention were determinants of usage behavior (p < 0.05). However, no significant relationship was found between social influence and behavioral intention (p > 0.05).

This study confirms that the UTAUT model provides an appropriate framework for predicting factors influencing physicians’ behaviors and intention to use e-Nabız. In addition, the empirical findings show that trust and perceived privacy, which are additionally considered in the model, are also influential.

Adopting Ajzen’s theory of planned behaviour theoretical framework, this paper aims to explore repurchase intentions among short-term rental users and changes in determinants of repurchase intention in the context of the COVID-19 pandemic.

Data for the research was collected via a cross-country quantitative survey (N = 1,433) in five European countries: Croatia, Italy, Spain, Turkey and the UK during 2020. Trust, perceived value, authenticity and perceived risk were incorporated into the structural equation model as part of an integrated analysis of antecedents of repurchase intention.

Perceived value and authenticity are the key drivers of a positive attitude to repurchase of short-term rentals even after the pandemic. The pandemic modified the role of perceived risk in determining attitude towards short-term rentals as perceived risks could negatively affect attitude and repurchase intention after COVID-19. Trust in the platform and the host became a significant determinant of repurchase intentions after the spread of COVID-19.

The analysis has shown the link between attitude, subjective norms, perceived behavioural control and repurchase intention, and has thus demonstrated a successful application of the theory of planned behaviour to short-term rental users.

The results of this study suggest a possible reconceptualisation of repurchase determinants due to the pandemic. The study offers a timely contribution to the research on the impact of the pandemic on the determinants of tourists’ repurchase intentions.