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This research aims to use meta-analytical structural equation modeling to look into how hospitality employees use technology at work. It further investigates if the relationship between the constructs of the technology acceptance model (TAM) is moderated by job level (supervisory versus non-supervisory) and different cultures (eastern versus western).

In total, 140 relationships from 30 empirical studies (N = 6,728) were used in this study’s data analysis in accordance with the preferred reporting items for systematic reviews and meta-analysis.

The findings demonstrated that perceived usefulness had a greater influence on “user attitudes” and “acceptance intention” than perceived ease of use. This study also identified that the effect sizes of relationships among TAM constructs appeared to be greater for supervisory employees or in eastern cultures than for those in non-supervisory roles or western cultures.

The findings provide valuable information for practitioners to increase the adoption of employee technology. Practitioners need to focus on the identification of hospitality employee attitudes, social norms and perceived ease of use. Moreover, hospitality practitioners should be cautious when promoting the adoption of new technologies to employees, as those at different levels may respond differently.

This is the very first empirical investigation to meta-analyze the predictive power of the TAM in the context of hospitality staff technology adoption at the workplace. The findings also demonstrated differences in the predictive power of TAM constructs according to job level and cultural differences.

The purpose of this study is to ascertain the types of mitigation strategies used around the world to tackle the harassment of visitors by microtraders, the target population for these strategies, the number and ratio of countries/territories where used and to posit ideas on how the academy may assist in improving their effectiveness.

A total of 247 archives from 73 countries/territories were analysed using typological analysis, cross tabulation and frequency analysis.

Eight broad strategies were found. The top three most common were: policing, media/communication and legislative strategies. In total, 79 specific strategies were also named. The strategies targeted various groups at the destination. This paper then concluded with eight sub-streams for future trader harassment of visitor research being identified. They are research focussing on criminological, learning, research design and data analysis, environmental planning and design, work analysis and design, communication, technological and social infrastructure solutions.

This paper was the first to look at trader harassment mitigation strategies globally and the first to propose sub-streams in the area of visitor harassment research.

Personality provides a critical perspective for human resource managers on differences between employees. This study aims to systematically and meta-analytically synthesize the consequences of employee personality in the hospitality context.

After an extensive literature search, 105 empirical studies on the consequences of the big five personality factors (BFF; agreeableness, conscientiousness, extraversion, neuroticism and openness) along with proactive personality (PP) in the hospitality context were included for a systematic review and meta-analysis.

The review highlighted a steady increase in the number of studies on hospitality employee personality. Job satisfaction and organizational citizenship behavior were identified as the most significant consequences for employee personality in the hospitality context. Five dimensions of personality traits varied in their consequences and differed from PP.

This study provides insightful implications and suggestions for future studies in terms of methodological approaches, research topics and dimensions of employee personality that will extend the theoretical framework of individual differences.

To the best of the authors’ knowledge, this study represents the first attempt to systematically investigate the consequences of employee personality in the hospitality context. The results reveal discrepancies in the relations between the dimensions of BFF and PP with a variety of consequences. These results offer research directions for hospitality scholars investigating employee personality.

The purpose of this study was to gain a holistic view of pro-environmental behavior (PEB) among hospitality and tourism consumers through a systematic review of empirical studies. Based on this comprehensive review, this study demonstrates how the literature has been created and has evolved over time, thereby providing proposals for future research agendas.

The preferred reporting items for systematic reviews and meta-analyses method was used as a rigorous searching method to provide an updated picture of the research on the PEBs of consumers in hospitality and tourism contexts. A total of 234 empirical studies from both hospitality and nonhospitality publications were selected for the review.

The results reveal a growing interest in PEB in the hospitality and tourism context. Focal points, theories and research designs used to explain PEB among hospitality and tourism consumers were identified. In addition, the findings from the cross-tabulation analyses have provided valuable insights for tourism and hospitality research in this area.

Based on the research findings, this study makes significant contributions to the literature by providing theoretical and practical implications with detailed directions for future researchers and practitioners.

This study offers one of the first reviews to comprehensively and systematically analyze the empirical research into PEBs among hospitality and tourism consumers. PEB has received significant attention from researchers, practitioners and those policymakers concerned with the sustainability of environments. The findings of this research provide a comprehensive overview of the literature relating to hospitality and tourism through the identification of gaps that require further investigation. Future suggestions to assist practitioners and policymakers in eliciting PEBs are also discussed.

Vector autoregressions (VAR) combined with Minnesota-type priors are widely used for macroeconomic forecasting. The fact that strong but sensible priors can substantially improve forecast performance implies VAR forecasts are sensitive to prior hyperparameters. But the nature of this sensitivity is seldom investigated. We develop a general method based on Automatic Differentiation to systematically compute the sensitivities of forecasts – both points and intervals – with respect to any prior hyperparameters. In a forecasting exercise using US data, we find that forecasts are relatively sensitive to the strength of shrinkage for the VAR coefficients, but they are not much affected by the prior mean of the error covariance matrix or the strength of shrinkage for the intercepts.

This chapter uses an application to explore the utility of Bayesian quantile regression (BQR) methods in producing density nowcasts. Our quantile regression modeling strategy is designed to reflect important nowcasting features, namely the use of mixed-frequency data, the ragged-edge, and large numbers of indicators (big data). An unrestricted mixed data sampling strategy within a BQR is used to accommodate a large mixed-frequency data set when nowcasting; the authors consider various shrinkage priors to avoid parameter proliferation. In an application to euro area GDP growth, using over 100 mixed-frequency indicators, the authors find that the quantile regression approach produces accurate density nowcasts including over recessionary periods when global-local shrinkage priors are used.

While scheduling and transporting emergency materials in disasters, the emergency materials and delivery vehicles are arriving at the distributing center constantly. Meanwhile, the information of the disaster reported to the government is updating continuously. Therefore, this paper aims to propose an approach to help the government make a transportation plan of vehicles in response to the disasters addressing the problem of material demand and vehicle amount continual alteration.

After elaborating the features and process of the emergency materials transportation, this paper proposes an emergency materials scheduling model in the case of material demand and vehicle amount continual alteration. To solve this model, the paper provides the vehicle transportation route allocation algorithm based on dynamic programming and the disaster area supply sequence self-learning algorithm based on ant colony optimization. Afterwards, the paper uses the model and the solution approach to computing the optimal transportation scheme of the food supply in Lushan earthquake in China.

The case study shows that the model and the solution approach proposed by this paper are valuable to make the emergency materials transportation scheme precise and efficient. The problem of material demand and vehicle amount changing continually during the process of the emergency materials transportation is solved promptly.

The model proposed by this paper improves the existing similar models in the following aspects: the model and the solution approach can not only solve the emergency materials transportation problem in the condition of varying demand and vehicle amount but also save much computing time; and the assumptions of this model are consistent with the actual situation of the emergency relief in disasters so that the model has a broad scope of application.

The purpose of this study is to investigate whether business growth intention (BGI) and entrepreneurial motivations enhance the explanatory power of the theory of planned behavior (TPB) to predict environmental intention (EI) among nascent entrepreneurs.

In the context of nascent entrepreneurship, the authors collected data from 193 nascent entrepreneurs in France. To test the hypotheses, stepwise multiple regression was performed.

The results show that BGI has a positive influence on EI. This indicates that it is possible for French nascent entrepreneurs to plan the simultaneous pursuit of business growth and environmental goals. However, entrepreneurial motivations have a mixed effect on EI. If necessity motivations negatively influence EI, opportunity motivations have no significant effect on the latter.

To the best of the authors’ knowledge, this research is among the first to extend the TBP model with additional factors, namely, BGI and necessity/opportunity motivations, to study EI. Moreover, the extended TBP model is validated in the under-research context of nascent entrepreneurship.