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The study's objective is to examine the relevance of globalization in affecting the size of the shadow economy in selected African nations.

To do this, the authors employ the KOF globalization index and implement both static and dynamic common correlated mean group estimators on a panel of 24 African nations from 1995–2017. This technique accommodates the issue of cross-sectional dependence, sample bias and endogenous regressors. Panel threshold analysis is also conducted to establish the nonlinearity between globalization and the shadow economy. To examine the causality between the variables, the study employs Dumitrescu and Hurlin's panel causality test.

The results show that globalization reduces the size of the shadow economy. The results of the nonlinear analysis suggest a U-shaped relationship. Overall globalization has a threshold impact of 48.837%, economic globalization has 45.615% and political globalization has 66.661% while social globalization has a threshold value of 35.744%. The results of the panel causality show that there is a bidirectional causality between the two variables.

The results suggest that the government and other relevant authorities need to introduce capital controls and other policy measures to moderate the degree of social, political and cultural diffusion. Appropriate policies should be formulated to monitor the extent of African economic openness to other continents to maximize the gains from globalization.

Apart from being the first study in the African region that evaluates the relevance of globalization in controlling the shadow economy, it also analyzes the dynamics and threshold analysis between the two variables using advanced panel econometrics which makes the study unique. The study suggests that globalization tools are useful for affecting the size of the shadow economy in Africa. This study provides fresh empirical evidence on the impact of globalization on the shadow economy in the case of Africa.

With recent advances in artificial intelligence, the hospitality industry has introduced the concept of unmanned smart hotels staffed by service robots instead of human employees. Research is needed to understand consumers’ receptivity to such an innovation. This paper examines factors associated with consumers’ potential resistance to using automated service hotels via two sequential studies. Given that younger generations of consumers are typically early adopters of advanced technology and innovative services, our sampling approach focused on this consumer group.

Two studies were conducted. Study 1 proposed and empirically tested a theoretical model. Results revealed that attitude, subjective norms and perceived behavioral control each positively influenced individuals’ intentions to use unmanned smart hotels. In Study 2, we further investigated aspects informing perceived security, a key variable in the use of unmanned smart hotels.

Findings showed how people’s beliefs about unmanned smart hotels and security control assurances led to perceived security. These perceptions were shaped by perceived physical risks, privacy concerns, website design and hotel reputation. Overall, this research provides theoretical and practical implications for various stakeholders associated with unmanned smart hotels.

Findings of this study suggested that managers of unmanned smart hotels should design user-friendly, secure processes and offer comprehensive support resources to enhance customer experience and usage.

The findings provide a holistic understanding of consumers’ receptivity to unmanned smart hotels.

The paper aims to examine the impact of social capital on the size of the shadow economy in the BIRCS countries over the period 1995–2014.

The authors employ the Bayesian linear regression method to uncover the relationship between social capital and the shadow economy. The method applies a normal distribution for the prior probability distribution while the posterior distribution is determined using the Markov chain Monte Carlo technique.

The results indicate that the unemployment rate and tax burden positively affect the size of the shadow economy. By contrast, corruption control and trade openness are negatively associated with the development of this informal sector. Moreover, the paper's primary finding is that social capital represented by social trust and tax morale can hinder the size of the shadow economy.

This study is limited to the case of the BRICS countries for the period 1995–2014. The determinants of the shadow economy in different groups of countries can be heterogeneous. Moreover, social capital is a multidimensional concept that may consist of various components. This difficulty of measuring the social capital calls for further research on the relationship between other dimensions of social capital and the shadow economy.

Many studies investigate the effect of economic factors on the size of the shadow economy. This paper applies a new approach to discover the issue. Notably, the authors use the Bayesian linear regression method to analyze the relationship between social capital and the shadow economy in the BRICS countries.

This study investigates to what extent the values perceived by tourists throughout cultural tours impact their overall satisfaction levels and behavioral intentions related to the destination. This study further examines the moderating role of tour guide competency in the relationship patterns concerned.

Empirical data were collected via a survey from 420 foreign tourists who visited Cappadocia and participated in guided cultural tours. Partial least squares-structural equation modeling was used for data analysis.

Study results reveal that the effects of quality, emotional, monetary and social value perceptions of tourists gained through cultural tour experiences on their overall satisfaction levels and the effects of overall satisfaction on recommendation and revisit intention are positive and significant. Furthermore, the moderating role of tour guide competency is significant and positive in the relationships between quality value and satisfaction and between satisfaction and revisit intention.

This study offers a critical analysis of discoveries concerning the pivotal role of tour guide competency within the cultural tour experience.

This study aims to bridge the gaps in the extant literature on memorable tourism experiences (MTEs) and Airbnb by exploring the sources of negative memorable Airbnb experiences among Finnish guests.

This study used a qualitative approach and used data collected through semi-structured interviews. The sampling criteria for selecting participants were that they must be Finnish nationals who had booked and stayed in an Airbnb accommodation within the past 36 months. The participants were selected using a criteria-based snowball sampling technique. A qualitative empirical study was conducted using self-structured interviews that were completed by 18 Finnish tourists who had stayed at an Airbnb property in the past three years.

Three main sources constitute the conceptual framework of a negative memorable Airbnb experience: unclean accommodations, unpleasant host behaviour and poor customer service.

Airbnb management should make efforts to reduce guests’ negative experiences. This goal can be achieved by developing service-quality-management policies and strategies that are standardised, clear and universally applicable to all hosts. In addition, Airbnb management should recruit qualified customer service personnel and equip them with service recovery skills through training and control mechanisms. Such training should focus on upgrading their ability to handle complaints.

This study responds to the need to examine negative incidents that are a part of MTEs and the sources of negative memories. The originality of this study includes the extension of the existing literature on MTEs and Airbnb, as a conceptual framework of negative memorable Airbnb experiences that comprises three main components: unclean rooms, unpleasant host behaviour and poor customer service has been proposed.

This paper aims to provide a comprehensive understanding of Vietnamese consumers’ perceived value and to explore the relationships between its constructs, satisfaction and (e)word-of-mouth (WOM) intentions towards Airbnb. Moreover, the relationship between traditional WOM and electronic WOM (eWOM) was also investigated.

An electronic survey was applied to collect data on a sample of Vietnamese Airbnb guests. A total of 352 questionnaires were collected, from which 163 eligible Airbnb users remained for data analysis. The partial least square approach to structural equation modelling was used to analyse the data.

The findings suggested that monetary, functional and hedonic benefits significantly impact Vietnamese customer satisfaction (CS) with Airbnb accommodation, which, in turn, acts as a direct effect and mediator in encouraging customers’ (e)WOM-giving intentions. Moreover, traditional WOM intention positively influences eWOM giving intention.

This study provides a better comprehension of customers’ perceived value that influences CS and their (e)WOM intentions towards Airbnb. Secondly, it extends the literature on WOM intentions from the message communicator’s perspective by confirming the positive association between traditional and eWOM-giving intentions. Finally, this paper reveals insights into the sharing accommodation in a fast-growing market in South East Asia (Vietnam), which supports sharing accommodation platforms and service providers to develop appropriate marketing strategies.

本文旨在全面了解越南消费者的感知价值, 并探讨其结构、满意度和 (e) 对 Airbnb 的口碑意图之间的关系。此外, 还研究了传统口碑（WOM）和电子口碑（eWOM）之间的关系。

应用电子调查收集越南 Airbnb 客人样本的数据。共收集问卷 352 份, 剩余 163 名符合条件的 Airbnb 用户进行数据分析。 SEM 的偏最小二乘法用于分析数据。

调查结果表明, 货币、功能和享乐方面的好处显着影响越南客户对 Airbnb 住宿的满意度, 这反过来又在鼓励客户的 (e)WOM 给予意图方面起到直接作用和中介作用。此外, 传统口碑意向对网络口碑给予意向有正向影响。

本研究提供了对影响客户满意度的客户感知价值及其对 Airbnb 的 (e)WOM 意图的更好理解。其次, 它通过确认传统和 eWOM 给予意图之间的正相关关系, 从信息传播者的角度扩展了关于 WOM 意图的文献。最后, 本文揭示了东南亚（越南）快速增长市场中共享住宿的见解, 从而为共享住宿平台和服务提供商制定适当的营销策略提供支持。