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This research aims at the theory of planned behavior (TPB) and the global entrepreneurship monitor (GEM) framework – How can cognitive traits for entrepreneurship be used by incubators and accelerators?

In this research the authors analyze the factors that catalyze the founding of new technology-based firms. From a practitioner stand-point, the GEM posits that these factors can be classified as contextual, social and individual factors. The present study focuses on the latter, looking into how demographic characteristics, possession of human capital and cognitive traits interrelate. The authors rely on a sample of 141 technological new ventures being incubated in Madrid, Spain, which is analyzed with the multilayer perceptron technique.

The results show that cognitive traits, as defined in the TPB, act as the “last mile” in the entrepreneurial decision process, while demographic and human capital factors appear to antecede them. These results are relevant for incubators and accelerators, which now gain a better, more complete understanding of success factors of their incubatees.

This research deals both with practitioners' view of entrepreneurship and with scientific literature, intertwining both with the purpose of providing valuable information for incubators and accelerators.

Entrepreneurship is the basis of economic development but is somehow limited by the lack of access to financing sources, especially in the crucial moments of start-up early-stage development. For crossing the so-called “valley of death,” start-ups need to access informal finance sources, such as business angels. This study aims at defining the profile of business angels and comparing it with the existing literature.

A novel methodology for sampling the business angles population has been used, which extracts data from online social media networks. This allows taking a closer look at informal sources of entrepreneurial finance. A total of 500 real business angels, acting worldwide, from the LinkedIn and Crunchbase databases has been retrieved for this study.

Results point out that younger investors seem to be entering the entrepreneurial informal finance market. They are mainly males between 40 and 50 years of age, with a previous entrepreneurial record, and more highly educated than previously stated. They tend to have studies from Business Administration and Economics, although they prefer to invest in the ICT sector.

Besides the novel data retrieval technique for analyzing the informal sources of finance, the originality of the work lies in updating the archetype for business angels.

This research delves into a comprehensive examination of Amazon’s Vendor Flex (VF) model, seeking to illuminate the intricacies of supply chain innovation through alliances between Amazon and its suppliers. Employing a multiple case study methodology, the study investigates the reduction of transaction costs, the establishment of strategic alliances for supply chain innovation and governance issues within these alliances.

A multiple case study methodology, incorporating personal interviews and triangulation with primary sources, was employed to unravel the dynamics of the VF model.

Results indicate that the VF model aligns with the reduction of transaction costs by leveraging Amazon’s specialized knowledge, although not necessarily through direct knowledge sharing. Amazon suppliers highlight competitive advantages gained through VF, showcasing efficient navigation of peak seasons and a focus on core activities with online retailing integration. The VF alliance represents a collaborative model where Amazon’s technological prowess enables a streamlined and innovative supply chain for online retailing, which resembles a vertical integration process.

This research underscores the potential of strategic alliances to drive innovation by incorporating industry-leading practices. The governance issues within the VF alliance reveal power imbalances, emphasizing the need for managers to govern dynamics, disclose information and build trust in large-scale alliances.

This study aims at shedding light on entrepreneurial aspirations on both developed and developing economies, in terms of contextual and individual values. Among the former, economic development and inequalities are sought after, while among the latter national culture is the variable under study.

The data used are extracted from the Global Entrepreneurship Monitor for a panel of countries, where the entrepreneurial aspirations of individuals of each country are measured through the Total early-stage Entrepreneurial Activity (TEA). The influence of cultural values as defined by Hofstede (individualism-collectivism (IDV), masculinity–femininity (MAS) and uncertainty avoidance (UAI)), moderated by the development level of the country and the existing inequalities are analyzed through artificial neural network (ANN) and multilayer perceptron (MLP) techniques.

Results show that in the post-crisis era, entrepreneurial aspirations are negatively linked to individualism in developing countries. In developed countries, however, entrepreneurship is not linked to individualism but to inequalities.

Entrepreneurial aspirations have not been thoroughly studied in the post-crisis era. We prove that entrepreneurial orientations have changed, together with the world, in the last decade. Cultural differences between countries tend to moderate, especially among developed ones, which speak of homogenization of national cultures. In this regard, inequalities are the determining factor. Contrarily, in developing countries, the differences in individualism are noticeable when it comes to analyzing entrepreneurial aspirations.

This study aims to examine and understand the impact of reverse logistics adoption on firms' digitalization and collaboration activities. Specifically, leveraging the knowledge-based view, this study examines how adopting sustainable logistic practices (reverse logistics) prepares firms to embrace digitalization and encourages them to collaborate with other organizations.

The study used longitudinal survey data from two waves (2017 and 2019) from the Mannheim Centre for European Economic Research. The authors used the negative binomial regression analyses to test the impact of reverse logistics adoption on the digitalization and inter-organizational collaboration dependent count variables.

The study's findings highlight the usefulness of reverse logistics in enabling digitalization and inter-organizational collaboration. The results show that the firms investing in sustainable supply chains will be better positioned to nurture digitalization and inter-organizational collaboration.

For resource-bound managers, this study provides an important insight into prioritizing activities by highlighting how reverse logistics can facilitate digitalization and collaboration. The study demonstrates that the knowledge generated by reverse logistics adoption can be an essential pillar and enabler toward achieving firms' digitalization and collaboration goals.

The study is among the first to examine the effect of reverse logistics adoption on firm activities that are not strictly associated with the circular economy (digitalization and collaboration). Utilizing the knowledge-based view, this study reports on the additional benefits of reverse logistics implementation previously not discussed in the literature.