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This study aims to extend and explore patterns and trends of research in the linkage of big data and knowledge management (KM) by identifying growth in terms of numbers of papers and current and emerging themes and to propose areas of future research.

The study was conducted by systematically extracting, analysing and synthesizing the literature related to linkage between big data and KM published in top-tier journals in Web of Science (WOS) and Scopus databases by exploiting bibliometric techniques along with theory, context, characteristics, methodology (TCCM) analysis.

The study unfolds four major themes of linkage between big data and KM research, namely (1) conceptual understanding of big data as an enabler for KM, (2) big data–based models and frameworks for KM, (3) big data as a predictor variable in KM context and (4) big data applications and capabilities. It also highlights TCCM of big data and KM research through which it integrates a few previously reported themes and suggests some new themes.

This study extends advances in the previous reviews by adding a new time line, identifying new themes and helping in the understanding of complex and emerging field of linkage between big data and KM. The study outlines a holistic view of the research area and suggests future directions for flourishing in this research area.

This study highlights the role of big data in KM context resulting in enhancement of organizational performance and efficiency. A summary of existing literature and future avenues in this direction will help, guide and motivate managers to think beyond traditional data and incorporate big data into organizational knowledge infrastructure in order to get competitive advantage.

To the best of authors’ knowledge, the present study is the first study to go deeper into understanding of big data and KM research using bibliometric and TCCM analysis and thus adds a new theoretical perspective to existing literature.

This study aims to understand the relationship between entrepreneurial competencies (self-efficacy and social capital) and sustainable entrepreneurship and its incidence through entrepreneurial motivations (opportunity and necessity entrepreneurship).

The authors adopt a quantitative approach and use ordinary least squares regressions and bootstrapping analysis to test the hypotheses about the relationship between entrepreneurial competencies and sustainable entrepreneurship mediated by entrepreneurial motivations using a cross-sectional sample of 2,356 nascent entrepreneurs from the Global Entrepreneurship Monitor 2021–2022 report.

Evidence suggests that sustainable entrepreneurship is positively influenced by both opportunity- and necessity-driven entrepreneurship. Additionally, the results show that both entrepreneurial motivations positively mediate the relationship between self-efficacy and sustainable entrepreneurship.

The approach departs from the traditional unidimensional perspective on entrepreneurial motivations, recognizing that an entrepreneur can simultaneously embody varying degrees of both motivations. By integrating the study of entrepreneurial competencies and motivations into sustainable entrepreneurship, we can gain a holistic understanding of the dynamics at play.

El objetivo de este estudio es comprender la relación entre las competencias emprendedoras (autoeficacia y capital social) con el emprendimiento sostenible y su incidencia a través de las motivaciones emprendedoras (emprendimiento por oportunidad y por necesidad).

Adoptamos un enfoque cuantitativo y utilizamos regresiones de mínimos cuadrados ordinarios (MCO) y análisis de bootstrapping para probar nuestras hipótesis sobre la relación entre las competencias emprendedoras y el emprendimiento sostenible mediado por las motivaciones emprendedoras utilizando una muestra transversal de 2.356 emprendedores nacientes del informe Global Entrepreneurship Monitor (GEM) 2021–2022.

La evidencia sugiere que tanto el emprendimiento de oportunidad como el de necesidad tienen un impacto positivo en el emprendimiento sostenible. Además, encontramos que ambas motivaciones emprendedoras median positivamente la relación entre la autoeficacia y el emprendimiento sostenible.

Nuestro enfoque se aleja de la tradicional perspectiva unidimensional de las motivaciones emprendedoras, reconociendo que un emprendedor puede encarnar simultáneamente diversos grados de ambas motivaciones. Al integrar el estudio de las competencias y motivaciones emprendedoras en el emprendimiento sostenible, obtenemos una comprensión holística de la dinámica en juego.

Este artigo tem como objetivo compreender a relação entre as competências empreendedoras (autoeficácia e capital social), e o empreendedorismo sustentável e sua incidência por meio de motivações empreendedoras (empreendedorismo de oportunidade e necessidade).

Adotamos uma abordagem quantitativa e usamos regressões de mínimos quadrados ordinários (OLS) e análise de bootstrapping para testar nossas hipóteses sobre a relação entre competências empresariais e empreendedorismo sustentável mediada por motivações empresariais usando uma amostra transversal de 2.356 empreendedores nascentes do relatório Global Entrepreneurship Monitor (GEM) 2021–2022.

As evidências sugerem que o empreendedorismo sustentável é influenciado positivamente pelo empreendedorismo orientado pela oportunidade e pela necessidade. Além disso, os resultados mostram que ambas as motivações empresariais mediam positivamente a relação entre a autoeficácia e o empreendedorismo sustentável.

Nossa abordagem se afasta da perspectiva unidimensional tradicional sobre as motivações empresariais, reconhecendo que um empreendedor pode incorporar simultaneamente vários graus de ambos os ases motivações. Ao integrar o estudo das competências e motivações empresariais ao empreendedorismo sustentável, obtemos uma compreensão holística da dinâmica em jogo.