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Drawing on the stereotype content model (SCM), the authors investigate the stereotype content transfer (in terms of warmth and competence) from country to brand and the simultaneous impact of these two stereotypes on consumer responses toward brands.

The authors test a structural equation model conceptualizing brand stereotypes as full mediators between country stereotypes and consumer outcomes. In addition, in a moderated mediation analysis, the authors investigate the role of brand typicality and utilitarianism/hedonism in potentially moderating the country to brand stereotype content transfer.

Country warmth and competence, respectively, impact brand warmth and competence, thus confirming the hypothesized stereotype content transfer. This transfer is found to be robust and not contingent on brands' perceived typicality of their country of origin. However, brands' utilitarian nature amplifies the positive impact of country competence on brand competence. Finally, brand stereotypes fully mediate the impact of country stereotypes on consumers' brand attitudes and behavioral intentions.

The authors provide the first empirical attempt that (1) explicitly differentiates between consumers' stereotypical perceptions of countries and stereotypical perceptions of brands from these countries, (2) empirically examines the transfer of stereotypical dimensions of different targets (i.e. country to brand), (3) explores boundary conditions for such transfer and (4) simultaneously considers the impact of both kinds of stereotypes on managerially relevant consumer outcomes.

Destination management organizations perform a very important role regarding the management of tourism destinations. Destination management systems are a key technological infrastructure for these organizations. However, in the literature, it is not clear what are the factors that promote the implementation of these systems, neither what are the factors that contribute to their success. This study aims to propose and test two research models to overcome these research gaps.

The first model refers to the determinants of the implementation of destination management systems, and the second model refers to the determinants of the success of those systems. The models are tested with data collected through a questionnaire survey from destination management organizations of five European countries, which are among the leaders in international tourism receipts.

Concerning the factors that promote the implementation of destination management systems, this study reveals the importance of the diversity of partnerships that the private sector establishes in the destination, of advantages resulting from governance and of partners' involvement in the functions of destination management organizations. Concerning the factors that promote the success of these systems, this study highlights the importance of a phased implementation, the fact that a high number of functionalities in the system prevents success and the importance of having a revenue model that can support financial and operating costs.

The study provides important theoretical and practical contributions to the successful implementation of destination management systems by destination management organizations.

Social entrepreneurship is gaining attention as a valid field for academic inquiry and a useful tool for funding a social mission and driving social change. As they are assimilated, innovative mechanisms and practices often require a new vocabulary and context to support precision in communication and clarity in analysis. This chapter takes a step toward merging previously disparate fields that may need to be aligned to help the advancement of social entrepreneurship and offers a neologism to describe this process. Primarily, it proposes that the real value of social entrepreneurship is an advancement in non-violent social change.

This study aims to perform a meta-analysis about network capabilities (NCs) and how they influence firm performance. Previous studies present distinct results regarding this relationship due to samples, cultural and contextual differences.

The authors conducted a meta-analysis of 33 papers published between 2008 and 2019.

The results contribute to theory and practice by (1) synthesizing previous research, testing the relationship between NCs and firm performance; (2) confirming the influence of entrepreneurial orientation on NCs; (3) showing how contextual variables affect the relationship between NCs and firm performance; (4) suggesting that NCs moderate the relationship between entrepreneurial orientation and firm performance.

Furthermore, the authors also offer managerial implications. Firms should consider investing in developing NCs to foster performance. Moreover, the contextual variables we investigated show that firms in specific contexts may experience a higher relevance of their NCs for firm performance.

This meta-analysis contributes to the management literature by offering a set of empirical generalizations, including relationship direct, mediation and moderation effects about network capabilities.

Congruent with the world-wide call to combat global warming concerns within the context of advancements in smart technology, artificial intelligence, robotics, algorithms (STARA), and digitalisation, organisational leaders are being pressured to ensure that talented employees are effectively managed (nurtured and retained) to curb the potential risk of staff turnover. By managing such talent(s), organisations may be able to not only retain them, but consequently foster environmental sustainability too. Equally, recent debates encourage the need for teams to work digitally and interdependently on set tasks, and for leaders to cultivate competencies fundamental to STARA, as this may further help reduce staff turnover intention and catalyse green initiatives. However, it is unclear how such turnover intention may be impacted by these actions. This paper therefore, seeks to investigate the predictive roles of green hard and soft talent management (TM), leader STARA competence (LSC) and digital task interdependence (DTI) on turnover intention.

The authors used a cross-sectional data collection technique to obtain 372 useable samples from 49 manufacturing organisations in Nigeria.

Findings indicate that green hard and soft TM and LSC positively predict turnover intention. While LSC amplifies the negative influence of green soft TM on turnover intention, LSC and DTI dampen the positive influence of green hard TM on turnover intention.

Our study offers novel insights into how emerging concepts like LSC, DTI, and green hard and soft TM simultaneously act to predict turnover intention.

The paper aims to provide robust evidence about the relationships between key individual characteristics of owners and managers (OMs) and small and medium enterprises (SMEs)' growth and the moderating influence of the country context on these relationships.

The authors meta-analyzed 62 studies presenting a cumulative sample of 175 effect-sizes and 174,590 SMEs.

The authors found that SMEs led by more experienced men with higher levels of education are more likely to grow. While the relationship between OMs' experience and SMEs' growth is significant for differing country contexts, national characteristics affect the magnitude of the influence that OMs' education and gender specifically exert on SME expansion. The authors also found that the positive impact of OMs' human capital on SMEs' growth increases when these firms are focused on technology.

The study yielded small-effect sizes for the impact of OMs' human capital and gender on SMEs' growth. Researchers can assess the influence of these characteristics on SMEs' growth along with other individual dimensions.

The current study is the first meta-analytical investigation about the influence of OMs' gender on SMEs' growth. The study focuses solely on SME OMs, as SMEs are not simply larger businesses on a smaller scale. The authors employ a wide set of country-level moderators in the research going beyond most empirical examinations of the topic that have given only marginal attention to moderators.

This study aims to examine the influence of destination awareness, cognitive and affective image, risk perception and past visitation on the intention to visit a tourist destination (a medium-sized city) in the next 12 months.

Partial least squares structural equation modeling was adopted to examine the data collected from 714 domestic holidaymakers.

Results demonstrate that awareness, cognitive and affective image, past visitation, perceived risk of traveling and perceived risk in international versus domestic travel are key factors; safety concerns enhance the cognitive image and perceived safety of the destination, but increase the perceived risk of traveling; and perceived social risk increases the perceived risk of traveling.

Data collection from only one country limits the generalizability of the conclusions.

Conclusions allow gaining new insights regarding communication strategies in general, during and post-pandemic times.

Using a consolidated and empirical approach, this study provides a better understanding of the role of perceived risk and its effects on cognitive and affective image and travel intention. For instance, to the best of the author’s knowledge, it is the first study to consider the effects of social risk in the pandemic context. It also offers insights into the mediating effect of destination image and the moderating effects of perceived risk and past visitation.

Drawing on insights from a yearlong ethnography and in-depth survey of the members of a Buddhist monastery located in the heart of modern Europe, we examine how members of the organization come to be more or less involved in the organization and in its core institutional logic. Here we present an exploratory analysis of how individuals’ beliefs about Buddhism and its relationship to everyday life are deeply intertwined with and articulated into different regimes of organizational activities, rituals, and religious practices. Borrowing from institutional logics theory, we use methods for illustrating the relational structure that articulates dualities linking beliefs and practices together. We show that dually ordered assemblages can reveal different types of logics embraced by different members of an organization. Our principal contention is that the greater the structural alignment between an individual’s belief structure, their repertoire of practices, and the institutional logic of the organization, the more well integrated that individual will likely be within the organization, the higher the probability of transformational changes of personal identity, as well as the greater probability of overall success in organizational membership recruitment and retention.

This paper seeks to explain the serial persistence as well as the substantial number of zeros characterizing global bilateral investment holdings. We explore the different sources of serial persistence in the data (unobserved country pair effects, genuine state dependence, and transitory shocks) and examine the crucial factors affecting the decision to invest in a host country.

Based on a gravity setup, we consider investment behavior at the extensive (participation) margin and employ dynamic first-order Markov probit models, controlling for unobserved cross-sectional heterogeneity and serial correlation in the transitory error component, in order to explore the sources of persistence. Within this modeling framework we explore the importance of institutional quality of the host country in attracting foreign investment.

The data support that the strong persistence is driven by true state dependence, implying that past investment experiences strongly impact on the trajectory of future investment holdings. Institutional quality appears to play a significant role to attract foreign investment.

The empirical findings suggest that due to the existence of genuine state dependence, inward-investment stimulating policy measures could have a more pronounced effect since they are likely to induce a permanent change to the future trajectory of inward investment.

Both the substantial number of zeros and the salient persistence characterizing bilateral investment holdings decision have been previously overlooked in the literature. A study modeling jointly the levels and the selection mechanism could prove a fruitful direction for future research.

This purpose of this paper to examine how profit sharing depends on the underlying profitability of firms. More precisely, motivated by theoretical research on fair wages and unionized labor markets, profit sharing is estimated for six different profitability categories: positive, increasing, positive and increasing, negative, decreasing and negative or decreasing.

The paper exploits a high-quality linked employer–employee data set covering the universe of Finnish workers and firms. Endogeneity of profitability and self-selection of firms in different profitability categories are accounted for by an instrumental variables approach. The panel-structure of the data is used to control for unobserved heterogeneity (spell and individual fixed effects).

Profits are shared if firms are profitable or become more profitable. The wage-profit elasticity varies between 0.03 and 0.13 in such firms. However, profits are not shared if firms make losses or become less profitable. There is no downward wage adjustment.

Because of the instrumental variables approach the question of external validity arises. Further empirical research on profit sharing with an explicit focus on firm profitability is warranted. The results of the paper indicate a connection between rent sharing and wage rigidity, as suggested by union and fair wage theory.

This is the first paper to consistently estimate the extent of profit sharing depending on the underlying profitability of firms.