Abstract
Purpose The research aims to examine the underlying factors of entrepreneurial intentions among seniors. In this vein, it evaluates the role of social context proxied by the human development index (HDI) along with individual characteristics towards these initiatives. Emerging economies deliver great potential for income generation swiftly approaching the standards of their developed counterparts. Their present ageing trends severely threaten growth prospects because of workforce withering. European insights will help anticipating constraints through alternative models of human capital allocation. Design/methodology/approach Four logistic regressions were run to address hypotheses in test, relying upon the global entrepreneurship monitor - adult population survey. Estimations include 20,386 individuals from database and 21 European Union countries. Ex-post robustness checks corroborate the global significance of the proposed model. Findings Empirical findings reinforce the importance of the macroeconomic context among senior endeavours and the non-linearities in terms of the age effect. Moreover, context can help eroding gender gaps in this field and refine the opportunity perception These results go in line with the literature and extend the importance of promoting a favourable ecosystem. Promotion of senior endeavours must consider smart policy packages encompassing the individual singularities as this age range will be too important to be wasted. Senior entrepreneurs are key to the latent job market crisis, needing to be encouraged through positive discrimination. Research limitations/implications Originally, by incorporating an exogenous variable encompassing the role of the entrepreneurial context, this study contributes academically to evaluating the determinants of entrepreneurial activity among the elderly. In addition, the development of cohorts highlights the specific importance of individual characteristics in entrepreneurial propensity in each context. The heterogenous results proves the ineffectiveness of "one sizes fits all" policies. Practical implications This research reinforces extant literature, notwithstanding the empirical refinements implemented brought up two additional perspectives: complementing previous towards the relevance of HDI cohorts along with the non-linearities of the effect of age. Learning from the European context and acknowledging efficacy of policy instruments will avoid serendipitous actions or failures, enhancing promising ecosystems such as emerging economies. Originality/value The study academically contributes to the appraisal of the determinants of entrepreneurial activity among seniors, thus, in an original way, by incorporating an exogenous variable to appraise the role of the context. Development cohorts evidence the existence of singularities in entrepreneurial propensity and individual characteristics according to their levels, such that policy actions should consider their differences.

Abstract

Abstract
Scholars and practitioners continue to recognize the crucial role of entrepreneurial ecosystems (EEs) in creating a conducive environment for productive entrepreneurship. Although EEs are fundamentally interaction systems of hierarchically independent yet mutually dependent actors, few studies have investigated how interactions among ecosystem actors drive the entrepreneurial process. Seeking to address this gap, this paper explores how ecosystem actor interactions influence new ventures in the financial technology (fintech) EE of Singapore. Guided by an EE framework and the use of an exploratory-abductive approach, empirical data from semi-structured interviews is collected and analyzed. The findings reveal four categories representing both the relational perspective, which features interaction and intermediation dynamics, and the cultural perspective, which encompasses ecosystem development and regulatory dynamics. These categories help explain how and why opportunity identification and resource exploitation are accelerated or inhibited for entrepreneurs in fintech EEs. The present study provides valuable contributions to scholars and practitioners interested in EEs and contributes to the academic understanding of the emerging fintech phenomenon.

Abstract
Climate change and global warming interconnected with the new contexts created by the COVID-19 pandemic and the Russia-Ukraine conflict have brought serious challenges to national and international organizations, especially in terms of food security and agricultural planning. These circumstances are of particular concern due to the impacts on food chains and the resulting disruptions in supply and price changes. The digital agricultural transition in Era 4.0 can play a decisive role in dealing with these new agendas, where drones and sensors, big data, the internet of things and machine learning all have their inputs. In this context, the main objective of this study is to highlight insights from the literature on the relationships between machine learning and food security and their contributions to agricultural planning in the context of Agriculture 4.0. For this, a systematic review was carried out based on information from text and bibliographic data. The proposed objectives and methodologies represent an innovative approach, namely, the consideration of bibliometric evaluation as a support for a focused literature review related to the topics addressed here. The results of this research show the importance of the digital transition in agriculture to support better policy and planning design and address imbalances in food chains and agricultural markets. New technologies in Era 4.0 and their application through Climate-Smart Agriculture approaches are crucial for sustainable businesses (economically, socially and environmentally) and the food supply. Furthermore, for the interrelationships between machine learning and food security, the literature highlights the relevance of platforms and methods, such as, for example, Google Earth Engine and Random Forest. These and other approaches have been considered to predict crop yield (wheat, barley, rice, maize and soybean), abiotic stress, field biomass and crop mapping with high accuracy (R2 approximate to 0.99 and RMSE approximate to 1%).

Abstract
The Brazilian oil industry is facing a period of significant techno-economic challenges to meet the increase in reserves and production in ultra-deep waters. The subsea production system is an essential technological frontier to ensure the technical and economic viability of oil fields. Thus, the use of digital technologies fits in with these goals and already shows promising results, which stimulate companies in the development of digitalization. For this, the main aim of this chapter is to investigate the role of digital transformation to the subsea productive system of the Brazilian oil industry. By using the analytical and theoretical framework of innovation system, the author explores the relevance, capacity, and strategy developed for the use of digital transformation into subsea production system activities. It was possible to identify the critical features of techno-economic development and conclude that despite the existing capacity, coordination, interactions, and funding are issues to be promoted and improved.

Abstract
This study aims to conceptualise the risks of a co-creation relationship between providers and customers in the front end of innovation (FEI). The existing literature on the topic of the interactions between customers and providers is vast but mostly reflects the vision of each respective field of science addressing specific issues and dynamics. This review paper combines integrative and generative approaches (Post et al., 2020). The narrative overview methodology (Green et al., 2006) fits the purpose to integrate the contributions of scholars from different areas and with distinct perspectives. The authors present a comprehensive view of the complex and, sometimes, conflictual customer-provider relationship in a business-to-business (B2B) context applied to the FEI. The review, mostly focused in the service industry, included the identification of inconsistencies and poorly explained phenomena. This work contributes decisively to the innovation, management and organisation literature, advancing a model of the projected risks of the specific customer-provider relationship in the FEI phase.