The steady increase in academic production has been paralleled by a surge in the number of bibliometric and systematic literature reviews (SLRs) published. Over the years, scholars began to combine bibliometric analyses with SLRs. However, such combined approaches relied on fragmented methodological suggestions without clear guiding frameworks. This article introduces integrated guidelines for undertaking multi‐method literature reviews, combining bibliometric analyses with SLRs and theory development, which we call ‘Bibliometric‐Systematic Literature Review’ (B‐SLR). In doing so, we develop a 10‐step process on how to apply the B‐SLR. In each of the proposed steps, we discuss critical decisions and best practices to support researchers while crafting meaningful and theoretically relevant literature reviews. The B‐SLR is intended as a flexible toolbox designed to accommodate diverse research objectives in the miner–prospector continuum, spanning from reviewing, theorising, tracing future roadmaps or creating bridges among different topics. The B‐SLR incorporates the pillars of critical analysis, timeliness, coverage, rigour, coherence and originality of contribution, also emphasising the need for a novel and relevant theoretical contribution. The B‐SLR is supported by a companion website, providing additional resources to assist researchers in this 10‐step process: https://www.b‐slr.org.

Purpose: While the disruptive potential of artificial intelligence (AI) has been receiving growing consensus with regards to its positive influence on entrepreneurship, there is a clear lack of systematization in academic literature pertaining to this correlation. The current research seeks to explore the impact of AI on entrepreneurship as an enabler for entrepreneurs, taking into account the crucial application of AI within all Industry 4.0 technological paradigms, such as smart factory, the Internet of things (IoT), augmented reality (AR) and blockchain.Design/methodology/approach: A systematic literature review was used to analyze all relevant studies forging connections between AI and entrepreneurship. The cluster interpretation follows a structure that we called the “AI-enabled entrepreneurial process.”Findings: This study proves that AI has profound implications when it comes to entrepreneurship and, in particular, positively impacts entrepreneurs in four ways: through opportunity, decision-making, performance, and education and research.Practical implications: The framework's practical value is linked to its applications for researchers, entrepreneurs and aspiring entrepreneurs (as well as those acting entrepreneurially within established organizations) who want to unleash the power of AI in an entrepreneurial setting.Originality/value: This research offers a model through which to interpret the impact of AI on entrepreneurship, systematizing disconnected studies on the topic and arranging contributions into paradigms of entrepreneurial and managerial literature.

Business is dynamic and rapidly changing. Global markets were previously the playing field of multinational corporations (MNCs), while small and medium enterprises (SMEs) were local; however, the removal of imposed barriers and recent technological advances in manufacturing, transportation, and communications have indorsed SMEs and international entrepreneurs (IEs) global access. SMEs and IEs are increasingly fueling economic growth and innovation, and these trends are presenting both opportunities and challenges to both MNCs and SMEs in the global arena. This review systematically examines comparative SME and IE research, analyzing (after fine-tuning) 762 articles published in leading journals from 1992 to September 2018. Our bibliometric and systematic review classifies SME and IE research findings into three echelons: (i) subjects, (ii) theories, and (iii) methods.

Purpose: The purpose of this study is to map the intellectual structure of the field of conflict management and the field of family business to the investigation of conflicts in family firms, with the aim of contributing to the further integration of knowledge between the two fields.Design/methodology/approach: Family conflicts and work–family balance issues also received a lot of attention, yet studies in conflict management still seem to overlook a thorough investigation of conflict in family businesses. Conflict is a major aspect of family businesses, which differs highly from non-family businesses, and offers an important research avenue for conflict management scholars to contribute to the investigation of major characteristics of organisations that constitute a large part of the value created in the world.Findings: The results of a bibliometric analysis and systematic literature review show that studies concerning conflict in family business aggregate around three clusters: organisational conflicts; firm growth and conflicts; and family control, performance and conflicts. An interpretative framework is also developed to interpret how antecedents, conflicts and growth dynamics in family business influence performances. Findings show how family conflicts and work–family balance issues received a lot of attention, yet studies in conflict management still seem to miss a thorough investigation of conflict in family businesses.Originality/value: This paper contributes to the field of conflict management and family business by providing a systematic analysis of knowledge and family firms. This paper can be a starting point for researchers interested in understanding how conflicts affect family businesses.

Purpose: Effectively handling knowledge is crucial for any organization to survive and prosper in the turbulent environments of the modern era. Leadership is a central element for knowledge creation, acquisition, utilization and integration processes. Based on these considerations, this study aims to offer an overview of the evolution of the literature regarding the knowledge management-leadership relationship published over the past 20 years.Design/methodology/approach: A bibliometric analysis coupled with a systematic literature review were performed over a data set of 488 peer-reviewed articles published from 1990 to 2018.Findings: The authors discovered the existence of four well-polarized clusters with the following thematic focusses: human and relational aspects, systematic and performance aspects, contextual and contingent aspects and cultural and learning aspects. The authors then investigated each thematic cluster by reviewing the most relevant contributions within them.Research limitations/implications: Based on the bibliometric analysis and the systematic literature review, the authors developed an interpretative framework aimed at uncovering several promising and little explored research areas, thus suggesting an agenda for future knowledge management-leadership research. Some steps of the paper selection process may have been biased by the interpretation of the researcher. The authors addressed this concern by performing a multiple human subject reading process whose reliability was confirmed by a Krippendorf’s alpha coefficient value >0.80.Originality/value: To the best knowledge, this is the first study to map, systematize and discuss the literature concerned to the topic of the knowledge management-leadership relationship.