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The purpose of this study is to investigate whether a U-shaped relationship exists between the length of time a donor has been a regular member in a nonprofit organization and the amount donated over time. In addition, this research analyzes whether this relationship is moderated by donation frequency.

Using a database of 6,137 members from a collaborating nonprofit organization, a longitudinal study is conducted over an eight-year period (2013–2020). A set of ordinary least square (OLS) regression analyses are carried out to empirically test the proposed hypotheses.

This study finds a nonlinear, U-shaped relationship between donation amount and relationship length. This effect can be explained through the dynamic evolution of two dimensions of commitment: affective (decreasing over time) and normative (increasing over time). The results also reveal that these effects, however, become flatter for members who engage in more frequent donations.

The results provide novel insights revealing the nonlinear nature of the relationship between the length of time a donor has been a member of a nonprofit organization and the amount donated, and underscores the moderating role of donation frequency, which makes the U-shaped relationship flatter, thus increasing the amounts donated. Despite their relevance in the service ecosystem, nonprofits have been under-represented in prior work. This study offers important practical insights into the effective management of the regular donor portfolio.

The purpose of this study is to analyse the background and consequences of the Spanish job market on the employment conditions of Spanish women and on underlying attitudes on gender role in the working environment.

From the European Social Survey (2004, 2008, 2010, 2016), the authors draw a sample of 3,706 individuals aged from 25 to 64 years old living in Spain. The sample allows the authors to make estimations from several aggregation levels depending on gender (men and women) and generational cohort (baby boom and X generation).

Education improves the perception of women’s work among both men and women. The role of education is especially interesting for older people. Educational levels help women adapt to a changing context, promote female participation in the job market and protect them from unemployment situations. This study demonstrates that both gender and generational cohort moderate the impact of education on gender labour attitudes and working status.

Finally, this work is not exempt from limitations. For example, the use of cross sections does not allow the authors to obtain a richer set of causal relationships than the use of panel data would allow them. In addition, it would be interesting to replicate the study of gender labour attitudes among human resource managers and workers to have a broader view of what happens within companies.

The main contribution to the state of the art is to demonstrate that both gender and generational cohort moderate the impact of education on gender labour attitudes and working status. In addition, this study analyses whether gender labour attitudes change throughout the economic cycles, because population characteristics change (endowment effect) and/or because the same characteristics have different impacts (coefficient effect).

This study examines how women and men in family firms respond differently when asked about perceptions of financial performance. The study poses three research questions around this topic: Are there differences among female and male responses, do those perceptions change if men and women are leaders of the family business and does the family's socioemotional wealth (SEW) influence such responses.

This study uses a quantitative research design to determine if financial performance perceptions of family firms differ based on the gender of the respondents and their leadership position, and second, if SEW's dimensions influence those perceptions, using data from the Successful Transgenerational Entrepreneurship Practices (STEP) survey in 2015.

The findings indicate that due to the lack of theory regarding gender as a social construct, empirical data collected for family business studies should take under consideration if respondents are women, men, leaders and the family influence in the family business when collecting data from surveys and asking for perceptions of financial performance. Results show that women in family businesses tend to have more positive perceptions of financial performance than men, but if women are leaders, those perceptions not only decrease but become negative. In addition, the family's socioemotional wealth (SEW) exacerbates those tendencies.

This study contributes to the literature by helping to understand the potential limitations of subjective measures of financial performance, as women increasingly become family business leaders. It also contributes to gender studies by demonstrating that there is a lack of gender theoretical perspectives specifically, gender roles, suggesting that differences in self-promotion and self-evaluation between men and women leaders of their family firms. Finally, this study adds to the study of SEW as a multidimensional construct by showing the different effects, or lack of them by each dimension and showing the strong effect of family continuity on the perception of financial performance.

The purpose of this paper is to empirically investigate the corporate image as a high-order construct in the hospitality industry. Therefore, it includes an important part of all the agents that contribute to the formation of this corporate image: the clients, the employees and the hotel management.

In order to better conceptualize and understand the dimensions of corporate image in the hospitality industry, a theoretical systematization and analysis of the literature on corporate image definitions and validated scales to date are presented. The primary research is based on a questionnaire survey that emerged from the theoretical model. The collected data were tested using confirmatory factor analysis and covariance-based structural equation modelling (CB-SEM).

Results indicate that corporate image is a high-order construct that includes the dimensions of symbols from servicescape, employees' behaviour, perception of the organization, perception of the management, perception of the service and perception of the hotel.

The application of this paper will enable new research in the corporate marketing literature, while the presented multidimensional approach will support future empirical research on corporate image in hospitality.

The paper contributes to theory by conceptualizing the corporate image as high-order construct. It provides evidence of corporate image multidimensionality, comprising six dimensions. Moreover, the findings provide an insight for practitioners to better understand how to manage hotel image.

The purpose of this paper is to present a review of the literature on the participation of women on Boards of Directors (BD).

The authors review a body of literature (theoretical and empirical words) that analyzes the women’s role on the BD of companies. The review allows the authors to bring together the theoretical foundations and the empirical findings of studies that have examined the influence of the engagement of women on BD on the business outcomes of the firms involved.

There is no agreement on the results relating to the effect of the presence of women on these boards. Moreover, there is no well-defined theoretical basis to explain this relationship, making it necessary to use a multi-theoretical approach.

This study could be extended by including investigations of the intermediate variable between the composition of the BD and the business outcomes, thus enabling an analysis of the effects of different organizational variables on the economic and financial variables already studied. In addition, the authors propose a comparative study between different countries and between different kinds of companies.

This paper highlights the controversy that exists over the significance of the involvement of women on the BD of companies. It also proposes the development of new lines of research to attempt to answer some of the questions that are raised by the diverse findings reported in the literature.

Motivated by upper echelon theory, this paper aims to examine the association between gender and the cannabis industry in the USA from both policy and an organizational perspective.

This paper examines two novel data sets in two legal adult-use cannabis states. First, it examines how city council gender diversity relates to city opt-out measure decisions, barring cannabis operations and forgoing related tax revenues. Second, it examines how management gender diversity relates to organizational performance.

Results suggest that, from a policy perspective, cities with higher council gender diversity are less likely to propose an opt-out measure to city taxpayers. From an organizational perspective, results suggest that female representation at the highest level is associated with higher sales in the retail sector of the cannabis industry.

Findings are somewhat limited by data availability and may not be generalizable to all adult-use legal states. While the study recognizes the possibility of self-selection bias in the results, robust analyses is performed to limit this possibility. Finally, while the study wholly recognizes that gender is not binary, it is limited to a binary gender variable based on the gender recognition software used in this study. It is also understood that this may not accurately capture the richness of a more inclusive examination of gender.

Results from this study inform communities on the impact of city council gender diversity on policy outcomes and related tax revenue levels. Further, results inform the adult-use cannabis industry on benefits derived from executive-level gender diversity.

Evidence suggests that gender diversity has a significant impact on the adoption of legalized adult-use cannabis policy. Social benefits from legalization potentially include increased revenues from taxes, decreased spending on cannabis enforcement, decreased health costs and decreased drug-related violence. Many of these benefits substantially impact communities disproportionally burdened by former prohibition. Additionally, the results indicate that gender is associated with the level of sales within cannabis organizations, generating debate about the possibility of economic performance in the absence of historical executive gender barriers.

This paper provides an initial empirical examination of gender diversity within and around the rapidly evolving adult-use cannabis industry in the USA.

Boards of directors of large companies all over the world frequently have a certain number of shared directors, which can be motivated by social structures that foster different types of links, including investments and vertical relationships. The purpose of this paper is to identify the effects that board interlocking exerts on innovation, considering the different nature of shared directors that finally determines the type of links dominating the boards.

Panel regression analyses were conducted using data collected from 69 Spanish listed innovative sector companies during the period 2010–2014, which provided an unbalanced panel of 325 data observations.

The results suggested that the typology of interlocks determined their effects on innovation, which had a positive influence when independent and extra-industry directors held multiple directorships, whereas it was negative in the case of intra-industry and women interlocking directors.

This study provided evidence for the diverse effects of interlocking directorates and contributed to the open debate on the best board composition for improving business innovation, considering the common feature of shared directorships.

The value of this research was twofold. On the one hand, the study considered a wide typology of interlocking directorates, such as women, affiliated and independent directors, intra- and extra-industry directorships, as well as shared directors from the same country. On the other hand, the effects of these different interlocking directorate typologies were analysed on innovation by considering different innovation indicators.

The objective of this paper is to analyze in an international setting the relationship between environmental disclosures, carbon emissions and gender equality on the board of directors with the cost of equity (CoE) in the food and beverage sector.

The study sample includes 142 listed firms and 1,562 firm-observations from 35 developed and developing countries between 2009 and 2019. The authors implement a fixed-effects regression model to contrast the impact of the three sustainable variables of interest on the CoE.

The results of this study indicate that firms in the food and beverage industry benefit from a lower CoE due to better environmental disclosures and gender equality. On the other hand, carbon intensive firms are penalized with higher equity costs.

This study expands prior research on the effects of sustainable behavior on the CoE in the food and beverage industry by taking into account additional sustainability variables and a greater number of observations, both from developed and from developing countries.

The purpose of this study was to uncover representative emergent areas and to examine the research area of marketing, tourism and big data (BD) to assess how these thematic areas have developed over a 27-year time period from 1996 to 2022. This study analyzed 1,152 studies to identify the principal thematic areas and emergent topics, principal theories used, predominant forms of analysis and the most productive authors in terms of research.

The articles for this research were all selected from the Web of Science database. A systematic and quantitative literature review was performed. This study used SciMAT software to extract indicators. Specifically, this study analyzed productivity and produced a science map.

The findings suggest that interest in this area has increased gradually. The outputs also reveal the innovative effort of industry in new technologies for developing models for tourism marketing. Ten research areas were identified: “destination marketing,” “mobility patterns,” “co-creation,” “gastronomy,” “sustainability,” “tourist behavior,” “market segmentation,” “artificial neural networks,” “pricing” and “tourist satisfaction.”

This work is unique in proposing an agenda for future research into tourism marketing research with new technologies such as BD and artificial intelligence techniques. In addition, the results presented here fill the current gap in the research since while there have been literature reviews covering tourism with BD or marketing, these areas have not been studied as a whole.

El objetivo de esta investigación fue descubrir nichos representativos de áreas emergentes y examinar el área de Marketing, Turismo y Big Data, evaluando cómo han evolucionado estas áreas temáticas durante un período de 27 años desde 1996–2022. Analizamos 1.152 investigaciones para identificar las principales áreas temáticas y temas emergentes, las principales teorías utilizadas, las formas de análisis predominantes y los autores más productivos en términos de investigación.

Todos los artículos para esta investigación fueron seleccionados de la base de datos Web of Science. Realizamos una revisión sistemática y cuantitativa de la literatura. Utilizamos el software SciMAT para extraer indicadores. Específicamente, analizamos la productividad y elaboramos un mapeo científico.

Los hallazgos sugieren que el interés en esta área ha aumentado gradualmente. Los resultados también revelan el esfuerzo innovador de la industria en nuevas tecnologías para desarrollar modelos de marketing turístico. Se identificaron diez áreas de investigación (“marketing de destinos”, “patrones de movilidad”, “co-creación”, “gastronomía”, “sostenibilidad”, “comportamiento turístico”, “segmentación de mercado”, “redes neuronales artificiales”, “precios”, y “satisfacción del turista”).

Este trabajo es único al proponer una agenda para futuras investigaciones en investigación de Marketing Turístico con nuevas tecnologías como Big Data y técnicas de Inteligencia Artificial. Además, los resultados presentados aquí llenan el vacío actual en la investigación ya que si bien se han realizado revisiones de literatura que cubren Turismo con Big Data o Marketing, estas áreas no se han estudiado como un conjunto.

这一特定研究领域的目标是发现具有代表性的新兴领域, 并考察市场营销、旅游和大数据研究领域, 以评估这些主题领域在1996年至2022年的27年间是如何发展的。我们分析了1152项研究, 以确定主要专题领域和新兴主题、使用的主要理论、主要的分析形式以及在研究方面最有成效的作者。

本研究的文章都是从Web of Science数据库中选出的。我们进行了系统化的定量文献审查, 并使用SciMAT软件来提取指标。具体来说, 我们分析了生产力并制作了一个科学研究地图。

研究结果表明, 人们对这一领域的兴趣已经逐渐增加。本文也揭示了工业界在开发旅游营销模式的新技术方面的创新努力。研究确定了十个研究领域：“目的地营销”、“流动模式”、“共同创造”、“美食”、“可持续性”、“游客行为”、“市场细分”、“人工神经网络”、“定价 “和游客满意度”。

这项研究的独特之处在于提出了未来利用大数据和人工智能技术等新技术进行旅游营销研究的议程。此外, 本文的结果填补了目前的研究空白, 因为虽然有文献综述涉及旅游与大数据或市场营销, 但这些领域还没有被作为一个整体来研究。