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This study empirically examines the moderating role of geopolitical risk on the tourism–economic growth nexus by applying a recent geopolitical risk indicator developed by Caldara and Iacoviello (2022) in a cross-country panel data growth model context for a sample of 24 countries.

A Dummy Variable Least Squares panel data model, nonparametric covariance matrix estimator and SYS-GMM estimation techniques are employed for the analysis. The authors capture the GPR moderating effect by disaggregating the cross-country sample according to low versus high country GPR score and through a GPR interaction coefficient. Several controls are included in the models such as gross fixed capital formation and—consistent with Barro (1990)—government consumption. Trade openness is used to account for the export-led growth effect. In line with neoclassical growth theory (e.g. Barro, 1991), the authors also include the real interest rate, to account for policy makers' commitment to macroeconomic stability, financial depth, as a proxy for financial development, population growth and the level of secondary school education. The authors also control for unobserved country-specific and time-invariant effects.

The research finds that the interaction term of geopolitical risk significantly contributes to the predictive ability of the regression and provides empirical evidence that confirms that only in low geopolitical risk countries international tourism positively and significantly contributes to economic growth. Important theoretical and policy implications flow from these findings.

The study not only contributes to advancing academic knowledge on the tourism–growth nexus, it also has impact beyond academia. Many countries have in the past pursued and many continue to pursue, tourism specialization and/or tourism-led growth strategies based on the theoretically well-established and empirically validated positive link between inbound tourism and economic growth. The findings alert policy makers in such countries to the significant moderating role that geopolitical risk plays in affecting the above-mentioned relationship and to the importance of prioritizing geopolitical stability as a policy precursor for the successful implementation of such strategies.

The aim of this chapter is to investigate the immigrant women entrepreneurship phenomenon by analysing management academic literature on the issue. Stemming from the most current data on immigration and from the awareness that entrepreneurship is a viable instrument of immigrant (women) integration and inclusion, this chapter analyses the most updated management results on the issue. The analysis is mainly centred on works published after 2019, and some interesting insights emerge. Among them, we can refer to the awareness that research on immigrant women entrepreneurship is still in its infancy. Although, indeed, immigrant entrepreneurs and women entrepreneurs have been analysed considerably by researchers, it has been mainly in isolation. Therefore, room for investigating still exists, and this chapter uncovers some possible future research avenues. Moreover, by reviewing the selected papers, it clearly emerges that not all immigrant women entrepreneurs are alike; different targets (that is, different ethnicities) must be addressed differently by policy makers when policy measurements are identified. In other words, generic programmes aimed at increasing entrepreneurship among immigrant women cannot necessarily be successful.

The impact of specific investments to performance has mixed arguments. This paper aims to clarify how and under what conditions specific investments made by manufacturer tailored to supplier affect the new product development (NPD) performance of the manufacturer itself.

This study develops a moderated mediation model, testing the roles of supplier involvement and information technology (IT) implementation by regression and bootstrap analyses from 378 NPD projects.

The results show both physical and human specific investments positively affect NPD performance. IT implementation strengthens the mediated role of supplier involvement, i.e. the mediator role of supplier involvement between specific investments and NPD performance link is significantly weaker while IT implementation is lower.

The findings contribute to identify IT implementation and supplier involvement as two important constructs, together demonstrating how and when specific investments affect NPD performance.

We take an affect-based approach to theoretically introduce and explore the knowing-doing gap of leadership. We focus on the emotion of fear that managers may experience in the workplace, and how it may influence the transfer of their leadership knowledge into leadership action.

We use Affective Events Theory as our underlying theoretical lens, drawing on emotional, cognitive, and behavioral mechanisms to explain the role of fear in the widening and bridging of the knowing-doing gap of leadership.

We theoretically explore the interplay between leader fear, the leadership contexts, and the knowing-doing gap of leadership. From this, we develop a multidimensional theoretical framework on the influence of leader fear on the knowing-doing gap of leadership.

We highlight how fear and the knowing-doing gap of leadership may be influenced by and potentially impact on individual managers and their leadership contexts.

Our initial theoretical framework provides a starting point for understanding fear and the knowing-doing gap of leadership. It has implications for future research to enhance our understanding of the topic, and contributes toward existing approaches on leadership development as well as emotions and leadership.

This study examines whether international tourism demand in the Visegrád countries is influenced by countries' risk rating on environmental, social and governance (ESG) factors, as non-economic factors relating to ESG risks have been ignored by previous researches on determinants of international tourism demand.

The study investigates panel data for the Visegrád countries comprising the Czech Republic, Hungary, Poland and Slovakia over the period 1995–2019. Recently developed techniques of augmented mean group (AMG) and common correlated effects mean group (CCEMG) estimators are employed so as to take care of cross-sectional dependence, nonstationary residuals and possible heterogeneous slope coefficients.

The regression estimates suggest that besides economic factors, the perception of international tourists regarding ESG risk is another important determinant of international tourism demand in the Visegrád countries. The study also established that income levels in the tourists' originating countries are the most critical determinant of international tourism demand to the Visegrád countries.

The research outcomes of the study include the need for the Visegrád countries to direct policies towards further mitigating their ESG risks in order to improve future international tourism demand in the area. They also need to ensure exchange rate stability to prevent volatility and sudden spikes in the relative price of tourism in their countries.

This study examines how unilateral supplier transaction-specific investments (TSIs), directly and indirectly, influence international buyer opportunism and the extent to which detailed contracts enable suppliers to safeguard against international buyer opportunism. The study also examines whether relationship length affects the efficacy of detailed contracts in cross-border outsourcing relationships.

The hypotheses are tested by using data collected from multiple informants working for 229 manufacturing suppliers in China. Multiple regression with a three-way interaction is used to test the hypotheses.

Unilateral supplier TSIs encourage international buyer opportunism through increased supplier dependence. Contract specificity negatively moderates the effect of supplier dependence on international buyer opportunism. This moderating effect is stronger in long-term cross-border buyer–supplier relationships than in short-term ones.

The current study extends the cross-border outsourcing literature by examining how emerging-market suppliers in a weak power position can proactively safeguard against international buyer opportunism by using detailed contracts. Our findings show that supplier dependence mediates the relationship between unilateral supplier TSIs and international buyer opportunism; detailed contracts, however, can help dependent suppliers safeguard against international buyer opportunism. In particular, the findings highlight the importance of long-term buyer–supplier relationships that enhance the efficacy of detailed contracts.

Reviews the latest management developments across the globe and pinpoints practical implications from cutting‐edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

In the UK, 2010 saw the 40th anniversary of its Equal Pay Act, which was an attempt to bridge the yawning divide at that time between men's and women's pay by making it illegal for salaries to differ for the sexes for doing the same job. However a number of studies in the anniversary year sought to re‐examine the problems in the UK on the issue, and highlighted that the gender divide was still very much alive and well, and that the UK was lagging behind its European cousins.

Provides strategic insights and practical thinking that have influenced some of the world's leading organizations.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy‐to‐digest format.

This paper aims to reduce the cost of experiments required to test the efficiency of materials suitable for artificial tissue ablation by increasing efficiency and accurately forecasting heating properties.

A two-step numerical analysis is used to develop and simulate a bioheat model using improved finite element method and deep learning algorithms, systematically regulating temperature distributions within the hydrogel artificial tissue during radiofrequency ablation (RFA). The model connects supervised learning and finite element analysis data to optimize electrode configurations, ensuring precise heat application while protecting surrounding hydrogel integrity.

The model accurately predicts a range of thermal changes critical for optimizing RFA, thereby enhancing treatment precision and minimizing impact on surrounding hydrogel materials. This computational approach not only advances the understanding of thermal dynamics but also provides a robust framework for improving therapeutic outcomes.

A computational predictive bioheat model, incorporating deep learning to optimize electrode configurations and minimize collateral tissue damage, represents a pioneering approach in interventional research. This method offers efficient evaluation of thermal strategies with reduced computational overhead compared to traditional numerical methods.

Reviews the latest management developments across the globe and pinpoints practical implications from cutting‐edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

An old saying warns us not to judge a book by its cover. When it comes to business organizations, however, that's precisely what many of us do. Consequently, brand image means almost everything and to a considerable extent influences what choices we make as consumers. It's hardly surprising, therefore, that companies routinely spend small fortunes on their marketing strategies. Cultivate an attractive brand image, target the right consumer groups and it's happy ever afters all round.

Provides strategic insights and practical thinking that have influenced some of the world's leading organizations.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy‐to‐digest format.