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A theoretical analysis evidences the existence of multiple patterns of collective leadership and serves as foundation for the proposal of a two-dimensional model of collective leadership, which evaluates leadership sharedness (the extent to which leadership roles are shared by group members), and leadership distribution (the extent to which different leadership roles are permanently assigned to group members). The relationship between these dimensions and committee effectiveness is further tested.

A social networks methodology is used with a sample of 28 committees. Two complementary network properties (centralization and density) are used to operationalize leadership sharedness and a new measure is developed to operationalize leadership distribution. Stepwise regressions test the relation between collective leadership dimensions and performance.

The model proposed advances the understanding of collective leadership’s internal dynamics and facilitates empirical comparisons of the effectiveness of various forms of collective leadership. The highest committee performance was found in groups where members contribute equally to charismatic and supportive leadership but only when these equal contributions were high. In collective directive and participative leadership, however, equality of contribution was associated to higher performance independently on the strength of members’ contributions. No relationship was found between the distribution of leadership roles among group members and committee performance.

A small sample size may have reduced hypothesis testing power. The intraclass corrections (ICC(2)) were lower than recommended. Finally, results cannot be extrapolated beyond committees, which have very unique characteristics due to their low typical interaction.

Organizations can improve committee performance by ensuring high and equal participation of members in their group’s leadership through training and selection. Enhancing participation of all members in leadership requires special attention to women and members of minorities, that are typically attributed less leadership influence and whose commitment to the group may be hurt by lack of involvement.

The two-dimensional model proposed goes beyond previously published models in exploring several aspects of collective leadership internal dynamics by advancing the understanding how different aspects of collective leadership patterns affect group performance.

The purpose of this paper is to examine the effect of shared leadership on the gap between male and female leadership influence in groups.

The leadership influence of 231 members from 28 committees was studied using a social networks methodology. Gender differences in committee members’ directive and supportive leadership influence were analyzed through two ANCOVA tests.

Results confirm significant differences between men and women’s leadership influence, as rated by their peers, using directive and supportive leader behaviors. Surprisingly, shared leadership has no significant effect on reducing this gender gap.

Results cannot be extrapolated to all other types of groups, since the committees studied have very unique characteristics due to their low typical mutual interaction.

Organizations may need to consider complementary strategies in their group leadership design to prevent the emergence of strong gender gaps when leadership is shared. These strategies could involve training members to recognize gender inequalities in leadership status and assigning leadership roles formally to ensure more equal participation in leadership.

This paper examines the promise of gender equality in shared leadership and provides empirical data that shows that this promise is not being realized.

Knowledge management has historically been approached in private firms as a key factor for business management. However, this is not the case for government institutions. The existing literature on the transfer of knowledge appears as a topic little addressed in government and even to a lesser degree within the police forces. This study aims to evaluate the relationship between motivation, knowledge absorption, knowledge transfer and innovative behavior in a public organization such as the Puerto Rico Police.

This quantitative research using the survey technique had the participation of 300 police officers from the 13 police regions of Puerto Rico and the research model was analyzed through partial least squares structural equation modeling.

The results contribute to the growth of the currently limited literature at identifies how motivation, knowledge absorption, knowledge transfer and institutional support influence innovative behavior.

The study discusses a series of implications on less explore the issue in how the transfer of knowledge becomes a key force to produce change and the success of all reforms. Various implications for the success of public administration in bringing a change from a bureaucratic culture to an advanced one are also discussed.

At the onset of the COVID-19 pandemic, social distancing measures and diffuse communication by media led to consumers’ uncontrolled product purchases worldwide. This phenomenon was described as a psychological effect experienced by fictitious scarcity, anxiety and herd mentality exacerbated by the media. This exploratory study aims to analyze the impact of risk communication on the perceived risk from the psychological dimension of consumer behavior amid the COVID-19 pandemic.

An exploratory study was conducted through an electronic survey one week after implementing social distancing measures in Puerto Rico. With a sample of 353 participants, the data analysis was carried out by PLS-SEM, partial least squares structural equations (PLS-MGA), multi group test (MGA) and hierarchical component models to answer the research hypotheses.

The results revealed that risk communication activates the perceived psychological risk during the COVID-19 pandemic, and the way in which the consumer faces the psychological risk is explained by the perceptions of scarcity and the bandwagon effect.

To the best of the authors’ knowledge, this study is a pioneer in presenting relationships between risk communication and perceived risk in consumer behavior, a topic that needs to be addressed in the academic literature. The research makes significant contributions to the study of consumer behavior by empirically validating the three phases of the Conchar model – risk framing, risk assessment and risk evaluation – where risk communication offers an excellent delineation to understand the consumer’s behavior during a pandemic.

Individuals who have autism spectrum disorders (ASD) commonly experience anxiety about social interaction and social situations. Cognitive behaviour therapy (CBT) is a recommended treatment for social anxiety (SA) in the non-ASD population. Therapy typically comprises cognitive interventions, imagery-based work and for some individuals, behavioural interventions. Whether these are useful for the ASD population is unclear. Therefore, the purpose of this paper is to undertake a systematic review to summarise research about CBT for SA in ASD.

Using a priori criteria, the authors searched for English-language peer-reviewed empirical studies in five databases. The search yielded 1,364 results. Titles, abstracts, and relevant publications were independently screened by two reviewers.

Four single case studies met the review inclusion criteria; data were synthesised narratively. Participants (three adults and one child) were diagnosed with ASD and SA. There were commonalities in interventions and techniques used: participants were encouraged to identify and challenge negative thoughts, enter anxiety-provoking social situations, and develop new ways of coping. Unlike CBT for SA in non-ASD individuals, treatment also included social skills interventions. Outcomes were assessed using self- or informant-reports. Improvements in SA, depressive symptoms, social skills, and activity levels were noted. Generalisability of results is hampered, however, by the small number of studies and participants and lack of randomised controlled trial conditions employed.

Future studies should investigate how beliefs and behaviours indicative of SA can be ameliorated in individuals with ASD.

This is the first review to synthesise empirical data about CBT for SA in ASD.

Economic growth is one the most relevant economic objectives for policy makers. In order to determine the variables that enhance such an objective it is important to consider different types of entrepreneurial activity. It is also necessary to consider the level of development and growth of a country to design the proper economic policy measures, given that entrepreneurship motivations and circumstances vary from country to country. Therefore, the purpose of this paper is to analyse the relationship between entrepreneurship and economic growth, including the role played by institutions and innovation considering two types of entrepreneurship (necessity and opportunity) and countries.

Data analysis of 31 countries with varying levels of growth and development yielded two large groups – either innovation-driven economies or efficiency-driven economies – following GEM classification based on the phases set out by the World Economic Forum. In order to test the hypotheses, a partial least squares analysis is carried out to show the existing relationships between the different variables, specifically: innovation, institutions, entrepreneurship and economic growth.

The empirical analysis used demonstrates that innovation positively affects economic growth and entrepreneurship. In addition, adequate functioning of institutions is shown to enhance economic growth and opportunity entrepreneurship. Finally, there is a positive relationship between entrepreneurship and economic growth.

Unlike other studies, different types of entrepreneurship (by necessity and opportunity) are essential to this analysis of the relationship between entrepreneurship and economic growth. The country sample was divided considering some country-specific structural circumstances. Neither aspect is considered in the literature and should be considered relevant for designing measures to enhance economic activity.

The COVID-19 pandemic has significantly affected service small- and medium-sized enterprises (SMEs), increasing the importance of understanding how these businesses can become more resilient and how service innovation can be an effective strategy to increase their adaptive capacity and survival. This study aims to examine the role of dynamic capabilities in service innovation as a factor explaining the resilience of SMEs in Puerto Rico and the Dominican Republic during the COVID-19 crisis and its impact on service innovation. Additionally, the authors assess whether service innovation has a significant impact on value cocreation in these businesses.

This study used a quantitative method by surveying 118 SME owners in Puerto Rico and the Dominican Republic. The data were analyzed using partial least-squares structural equation modeling.

The results reflect important theoretical contributions by analyzing resilience from an innovation perspective instead of a retrospective approach, which is an area that has not been analyzed in the literature. Additionally, theoretical contributions to marketing services in SMEs are discussed, which is an underresearched topic. The results advance by discussing the role of service innovation through the reconfiguration of resources and how this can be an effective strategy to increase value cocreation with customers during crises.

This study is original in that it analyzes resilience from the perspective of innovation, and not from a retrospective approach. It offers a vision in response to the need for studies that provide a clearer conceptualization of resilience in small businesses. This highlights the importance of considering regional differences and service innovation as effective strategies to enhance resilience and value cocreation with customers.

The purpose of this article is to analyze the effects of the integration process for the Integrated Market of Latin America (MILA) on its stock markets behavior as well as their degree of integration.

Daily time series data were used for stock returns, volatility, volume and the number of transactions and securities between August 16, 2007 and December 28, 2018. A DCC-MGARCH model was applied to analyze the impact of MILA on stock market behavior and predict dynamic correlations. A GARCH (1,1) model was used to determine the effect of MILA on co-movements between markets. Finally, a Markov regime switching model was used for robustness analysis.

MILA increased stock market activity in terms of volume, transactions and securities traded. However, it reduced returns and volatility. MILA had significant effects on the dynamic correlations between regional stock markets. After the integration process, the dynamic correlations of returns and volatility were reduced, but those related to volume, transactions and securities traded increased. Mexico's subsequent entry into MILA further reduced market volatility, but it did not have relevant effects on markets' co-movements.

These results are relevant for investors and policymakers. MILA has benefited the markets by promoting stock market activity, reducing risk, creating a margin for diversification and limiting risk contagion between them. These results help to guide investment decisions due to the fact that MILA's benefits in terms of regional diversification would be greater in some markets.

The International Journal of Contemporary Hospitality Management is a leading international journal in the field of hospitality and tourism management. It was started in 1989, and it turns 30 years old this year. To celebrate this anniversary, this paper presents a bibliometric overview of the publication and citation structure of the journal over the past 30 years. The purpose of this paper is to identify the relevant issues in terms of keywords and topics and who is achieving better results in terms of authors, universities and countries.

The Scopus database is used to collect the bibliographical material. A graphical mapping of the bibliographic data is developed by using VOSviewer software. It produces graphical maps with several bibliometric techniques, including co-citation, bibliographic coupling and co-occurrence of keywords.

The results indicate that English-speaking countries are producing the highest number of articles in the journal, followed by Asian institutions, with the Hong Kong Polytechnic University as the most productive institution.

To the best of the authors’ knowledge, there are no papers that present a general overview of the publication and citation structure of this journal. Its 30th anniversary is a good moment to develop this study.

This paper aims to evaluate the impact of the subsidies established by Measure 123 of the Rural Development Policy on the productivity of a sample of agri-food and forestry companies in the region of Asturias over the period 2006-2009.

The authors estimate a stochastic frontier function which allows subsidies to be considered as affecting both the level of technical efficiency and technical progress.

The results show that while subsidies have a positive effect on the technical progress of companies in the agri-food industry, for the forestry industry, the effect materializes as an improvement in technical efficiency. Additionally, other factors affecting either, technical progress and technical efficiency were identified.

This study adopts a model that allows the separate identification of the effect of subsidies on the level of efficiency, on the one hand, and on the technical progress, on the other.