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Social entrepreneurs engage in action because social entrepreneurs want to solve social problems. Consequently, to see more social entrepreneurship in contexts with the most severe social problems is expected. This paper argues that this is an oversimplification of the problem-action nexus in social entrepreneurship and that action does not necessarily correspond to the observed scale of social problems. Drawing on the theoretical framing of crescive conditions, this relationship is affected by forms of public investment as institutions that distinctively promote engagement and public interest amongst social entrepreneurs. Thus, this paper assesses the relationship between varying levels of social problems and social entrepreneurship action (SEA) and how and to what extent public investment types – as more and less locally anchored crescive conditions – affect this relationship.

The hypotheses are tested with a series of random-effects regression models. The data stem from the Global Entrepreneurship Monitor's (GEM) 2015 social entrepreneurship survey and Chile's 2015 National Socioeconomic Characterisation Survey (CASEN). The authors combined both data sets and cross-matched individual-level data (action and investment) with commune-level data (social problem scale) resulting in unique contextualised observations for 1,124 social entrepreneurs.

Contrary to current understanding, this study finds that SEA is positively associated with low-social problem scale. This means that high levels of deprivation do not immediately lead to action. The study also finds that locally anchored forms of investment positively moderate this relationship, stimulating action in the most deprived contexts. On the contrary, centralised public investment leads to increased social entrepreneurial action in wealthier communities where it is arguably less needed.

The findings contribute to the literature on SEA in deprived contexts, social and public investment as well as policy-level discussion and broader issues of entrepreneurship and social problems.

US tax-exempt nonprofits are chronically underdeveloped when it comes to reporting, communicating and comparing the value they create. This paper aims to explore an approach to address these reporting and disclosure issues, for the purpose of sustainability and impact.

First, the authors ask and then answer: is it time to clean up US tax-exempt nonprofit reporting? Second, the authors develop a theoretical argument, based on commensuration of impact, for a specific tax-exempt integrated report (IR), to compare the value of tax-exempt nonprofits. Third, this study offers an example of this tax-exempt IR in practice.

First, this study evidences the need for a drastic shift in the expectations and reporting practices of US tax-exempt nonprofits. Second, this study offers an IR framework that responds to recent scholarly calls to address organizational accountability boundaries and impact assessment in the nonprofit sector. Third, this contributes to sustainability policy conversation by mapping out an approach that US tax-exempt nonprofits could deploy to speed up the implementation of sustainable solutions (Sustainable Development Goal [SDG] 17).

This study contributes to sustainability conversation by closing with a discussion of why policymakers, managers and scholars should continue to push for maximum impact from US tax-exempt nonprofits. If addressing the UN SDGs is a desired outcome, then there is an immediate need for change in the way US nonprofits report what they do. This study suggests that learning from the European Union reporting practices and regulations will facilitate a move toward improved reliability, comparability and impact from US nonprofits.

The aim of this paper was to present a disclosure framework that provides reliable and comparable information of the value created by tax-exempt nonprofits. This principle-based framework is rooted in the IR literature and extends into the prosocial world of tax-exempt nonprofits, recognizing that is it goes farther than simply being a framework; it is a social process.

This paper responds to recent calls for more oversight and comparison disclosure mechanisms of US tax-exempt nonprofits, for the purpose of reducing social or environmental inequality. The framework makes an important contribution to the field of sustainability accounting, in that it promotes a principle-based approach for measuring and regulating tax-exempt nonprofits, in a way that motivates oversight and comparison of sustainability-related practices.

Under what conditions do entrepreneurs make the sustainable decisions they need to develop socially and environmentally responsible new businesses? Explanations of sustainable decision-making have involved various cognitive features; however, it is not yet clear how they play a role in empirical terms and, moreover, how they combine to induce business decisions based on social, environmental and economic considerations. The purpose of this paper is to explore how five cognitive factors combine and causally connect to produce sustainable decision-making in entrepreneurship.

This study uses fuzzy-set qualitative comparative analysis to examine the decision-making of 37 sustainable entrepreneurs. It focuses on a substantive conception of entrepreneurial behaviour to uncover the cognitive antecedents underlying entrepreneurial decisions that involve the explicit development and implementation of measures, targets and strategies aimed at improving its impact on people and the environment.

The configurational analysis reveals a typology comprising five combinations of cognitive factors constituting a comprehensive cognitive map of sustainable decision-making in entrepreneurship, namely: purpose-driven, determined; value-based, vacillating; value-based, unintended; single motive, single solution; and purpose-driven, hesitant.

This study demonstrates that no single condition is necessary nor sufficient for triggering decision-making involving social and environmental concerns, revealing five mental models leading to sustainable decision-making. In doing so, this paper responds to recent calls that stress the need for studies capable of uncovering the complex constellation of cognitive factors underlying entrepreneurial sustainable behaviour. Theoretical and practical implications are discussed.

This paper provides a systematic characterization of the cognitive underpinnings of sustainable decision-making and offers a basis for organizing the study of sustainable outcomes and configurations of cognitive antecedents. It reconciles prior efforts aimed at characterizing sustainability decisions in the context of SMEs and new enterprises, challenging current models based on awareness, experience and ethical normative frameworks.

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。

This article offers a bibliometric analysis and explores the relationships among the documents on ecopreneurship by using relational techniques. The results highlight the publication trends; most cited documents, top contributing authors, countries and institutions with highest productivity and most contributing journals to the research field.

Initially, 216 documents were retrieved from the Thompson Reuters Web of Science Core Collection database with three document types: articles, review and book review. All the documents were considered for the analysis. Then VOSviewer and bibliometric analysis using R with an inbuilt utility Biblioshiny were used together for co-word analysis, co-citation network analysis, generating collaboration networks and also generating a unique three-field plot to analyze the evolution of a research field.

The results highlight the publication trends: most cited documents, top contributing authors, countries and institutions with highest productivity and most contributing journals to the research field. The network analysis of co-authorship, co-citation, keyword co-occurrence and bibliographic coupling reveals most prominent relationships between authors, documents, co-cited references, sources and countries for the available documents on the research field.

The study helps not only in expansion of knowledgebase on the research topic but also in understanding the evolution of the ecopreneurship to provide research support further in this area.

Ecopreneurship is an emerging field of research connecting ecology and entrepreneurship together, making it a potential research area. The contributions made to this research field from 1989 to 2019 serve as a core for conducting this analysis. The study is an effort to help in coordinating research network across countries, authors and affiliating universities.

The aim of this paper is to investigate the perceived obstacles to the adoption of mobile banking services among Brazilian internet users and search for patterns according to socio‐demographics variables.

Data were collected through an online survey involving the internet banking customers of a major Brazilian bank. A total of 3,585 usable cases were collected from customers who do not use any kind of mobile devices (cell phones, PDAs or Smartphones) to access electronic banking services. The main reasons for rejecting the service were explored using multidimensional scaling, while chi‐square tests were used to assess differences between socio‐demographic variables.

The results indicate that the majority of respondents do not use any kind of mobile banking service. Perception of cost, risk, low perceived relative advantage and complexity were revealed to be the main reasons behind the reluctance to use the service. The influence of other background factors is less evident.

The research has practical implications, as it suggests guidance strategies and presents directions for service enhancement as a key to overcoming the perceived obstacles to m‐banking adoption.

This is the first empirical research exploring mobile banking resistance factors in Brazil.

This article aims to offer empirical evidence pertaining to the relationship among entrepreneurship, market orientation and business performance within the context of disadvantaged socio‐economic regions of the European Union.

Two groups of hypotheses investigate the relationship between entrepreneurship and market orientation and the joint effect of these dimensions on performance. All questions are approached using survey data from 183 firms located in the Castilla y Leon region, Spain.

A strong relationship exists between entrepreneurship and market orientation. Although these orientations may be implemented separately, firms emphasise entrepreneurship when they are market‐oriented. Therefore, the strong relationship and complementarities between entrepreneurship and market orientation reduce the effort involved in the joint adoption of both orientations. Both orientations also demonstrate a strong relationship with performance, such that each contributes specifically.

The article shows that, despite little evidence of synergic effects of the joint adoption of both orientations, the specific aspects that differentiate entrepreneurship and market orientation both contribute to improving performance, and therefore, firms should foster a market‐oriented, entrepreneurial organisational culture.

With the increasing urbanization rates in emerging countries such as the ones in Latin America and the Caribbean, urban logistics solutions and initiatives are widely needed. Urban planners often consider only passenger transportation and leave freight transportation unattended, thus increasing externalities and degrading the transportation of goods. This chapter presents three urban logistics solutions, which intend to tackle problems related to urbanization and last mile delivery operations challenges by evaluating location models for loading and unloading bays, urban transfer centers location models, and freight trip generation models. The presented solutions were proposed by several researchers of the Institute of Innovation in Productivity and Logistics CATENA-USFQ over the last four years and remain theoretical at the moment. However, we present estimated results of potential implementations in three districts of Quito: Historic Center, Entertainment District, and Corporate District. This chapter not only presents the mentioned urban logistics solutions in Quito but also gives an overview of the followed methodology, which can be replicated in countries and cities of similar characteristics of the region.