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This article provides commentary from well-known family business researchers on what they have learnt about the family business field and tips for the future.

Well-known family business management researchers were contacted in order to provide their feedback on the field of family business management. Their responses were then curated into an article that can help others learn from their advice.

The family business management researchers provided suggestions on how to succeed in the field of family business management and advice for current and future researchers. Thereby helping to advance the field and provide new novel research ideas that can help science as well as practice.

This article is amongst the first to provide verbatim advice from the leading family business management scholars. Thus, providing original and innovative ideas about what is needed in the field of family business management.

Recently there has been a surge in interest about the use of artificial intelligence in organisations with art galleries introducing new technological innovations that coincide with the digitalisation revolution. Virtual and immersive environments that are supported by social media and digital platforms are significantly changing customer experiences at art galleries. This is internationalising and making art gallery experiences more accessible thereby fostering the competitive advantage of art galleries.

Art gallery customers, stakeholders and managers are appreciating the use of artificial intelligence with resulting higher satisfaction rates. Building on competency and transformational entrepreneurship theory international art gallery managers were interviewed to understand the role of artificial intelligence in their organisations and the impact of internationalisation.

The data analysis revealed that the internationalisation of art galleries enabled artificial intelligence to transform in person and online visitor experience, work and marketing, and future art gallery development ideas. Results show that artificial intelligence is opening up new transformations derived from entrepreneurial behaviours.

Key managerial implications are that art gallery managers need to utilise their international networks in order to learn about artificial intelligence and other new technological innovation. Theoretical implications are that existing theory can be adapted to an art gallery and artificial intelligence context. Limitations and future research suggestions focus on the need to focus more on art galleries as cultural entities that are more likely to utilise new technology innovation such as artificial intelligence.

An increased interest in inequality and entrepreneurship has led to little consensus on how to define inequality from different perspectives based on an emerging economy point of view. This article aims to discuss how the precise nature of inequality differs centered on how it is developing in emerging economies.

A review of the current literature on inequality, entrepreneurship and emerging economies was conducted to focus on understanding the main factors. This resulted in the identification of six main types of inequality in entrepreneurship (social, digital, economic, cultural, geographic and environmental) and offers specific suggestions for future research.

Inequality in emerging economies can be differentiated based on type and level of entrepreneurial development as well as integrated into a conceptual framework that integrates different ways to measure the concept.

This paper focuses on different types of inequality in entrepreneurship from an emerging economy point of view that offers a unique way to understand country differences. In addition, theoretical and methodological directions for future research are outlined, which consolidates current research and extending research on inequality, entrepreneurship and emerging economies.

This paper examines the integration of artificial intelligence (AI) within family businesses, focusing on how AI can enhance their competitiveness, resilience and sustainability. The study seeks to provide insights into AI’s application in family business contexts, addressing the unique strengths and challenges these businesses face.

A systematic literature review was conducted to synthesize existing research on the adoption and integration of AI in family businesses. The review involved a comprehensive analysis of relevant academic literature to identify key trends, opportunities, challenges and factors influencing AI adoption in family-owned enterprises.

The review highlights the significant potential of AI for family businesses, particularly in improving operations, decision-making and customer engagement. It identifies opportunities such as analysing customer data, enhancing brand building, streamlining operations and improving customer experiences through technologies like Generative AI, Machine Learning, AI Chatbots and NLP. However, challenges like resource constraints, inadequate infrastructure, low customization and AI knowledge gaps inhibit AI adoption in family firms. The study proposes an AI adoption roadmap tailored for family businesses and outlines future research directions based on emerging themes in AI use within these enterprises.

This paper addresses the underexplored area of AI integration in family businesses, contributing to the academic understanding of the intersection between AI and family-owned enterprises. The study offers a comprehensive synthesis of existing research, providing valuable insights and practical recommendations for enhancing the competitiveness and sustainability of family businesses through AI adoption.

This study aims to analyze the impact of technology and innovation on businesses’ internationalization process as well as the relationship between innovation and technology and internationalization.

The study was based on quantitative analysis of secondary data from 30 economies in Europe and Central Asia, extracted from the Enterprise Surveys – The World Bank database, using the multivariate statistical techniques of multiple linear regression and cluster analysis.

The results suggest that innovation and technology (I&T) mutually and positively influence the internationalization of firms. In this sense, innovative firms are more successful in competing internationally and exposure to alternative business contexts culminates in innovation. The results suggest a positive relationship between the percentage of firms that introduced a process innovation, the percentage of firms with websites and the businesses’ internationalization.

The originality of this research is based on the methodological approach that allowed the identification of the most significant variables for stimulating the internationalization of firms based on innovation and technology. Given the predominance of economies with higher I&T and internationalization in Europe, it is proposed as future research projects to ascertain the reasons for such a phenomenon.

As organisations rely more on systems to protect their accounting data, it is critical to investigate whether cutting-edge “Accounting Information Systems (AIS)” technologies increase “Accounting Information Quality (AIQ)” in post-Covid-19 era.

The current study examined how Covid-19 modified the expected links between AIS implementation and AIQ factors. To make the “structural model”, a “web-based survey” was used. A “Multi-group Analysis” (MGA) with “AMOS.26” was employed to test the regulating effect. To look at their regression values, the 412 participants from “Family Small- and Medium-sized Enterprises FSMEs” in Jordan who took part in the MGA were split into two groups: those who had a high experience of Covid-19 impact (N = 143) and those who had a low experience of Covid-19 impact (N = 269). The study of 412 completed surveys shows that MGA uses a modified t-test to determine the significant difference between regression coefficients.

The results of the moderation effect confirm that Covid-19 has a substantial effect on AIS adoption and AIQ. All hypotheses about how AIS implementation affects AIQ in post-Covid-19 era were approved. The study finds that adopting AIS is critical for enterprises to maintain successful operations and efficiency.

This model may assist businesses in comprehending the relationship between AIS and AIQ, how it affects it in the current technological adoption phase under extremely unpredictable economic conditions and what characteristics support its widespread usage. This research offered the theoretical underpinning for examining AIS’s ability to improve AIQ among Jordanian family firms. The results can also be applied to other Middle Eastern countries and AIQ, how it affects this relationship during this period of technological adoption under extraordinarily unpredictable economic conditions and what factors support its widespread use. Practitioners and scholars must recognise how AIS can develop organisational values and impacts as the AIS environment grows. This study recommends a holistic AIS-implementation methodology and evaluates organisational implications to address this empirical challenge.

This study investigates whether adopting AIS results in significantly higher AIQ in the post-Covid-19 era. To the best of the author’s knowledge, there have been a few attempts to investigate how AIS influences data quality. Still, there is little evidence of how this relationship has evolved in the aftermath of the Covid-19 tragedy. As a result, much work remains to be done, particularly in analytical decision-making culture, which is critical to the development of the growing economies of the Middle East and Jordan. To address this knowledge gap, the Covid-19 and AIQ criteria were incorporated into the model utilised in this study. This research adds to existing knowledge and may be valuable in areas with low AIS framework frequency.

In the era of the digital economy, higher demands are placed on versatile talents, and the cultivation of students with innovative and entrepreneurial abilities has become an important issue for the further development of higher education, thus leading to extensive and in-depth research by many scholars. The study summarizes the characteristics and patterns of dual-innovation education at different stages of development, hoping to provide a systematic model for the development of dual-innovation education in China and make up for the shortcomings.

This paper uses Citespace software to visualize and analyze the relevant literature in CNKI and Web of Science databases from a bibliometric perspective, focusing on quantitative analysis in terms of article trends, topic clustering, keyword co-linear networks and topic time evolution, etc., to summarize and sort out the development of innovation and entrepreneurship education research at home and abroad.

The study found that the external characteristics of the literature published in the field of bi-innovation education in China and abroad are slightly different, mainly in that foreign publishers are more closely connected and have formed a more stable ecosystem. In terms of research hotspots, China is still in a critical period of reforming its curriculum and teaching model, and research on the integration of specialization and creative education is in full swing, while foreign countries focus more on the cultivation of students' entrepreneurial awareness and the enhancement of individual effectiveness. In terms of cutting-edge analysis, the main research directions in China are “creative education”, “new engineering”, “integration of industry and education” and “rural revitalization”.

Innovation and entrepreneurship education in China is still in its infancy, and most of the studies lack an overall overview and comparison of foreign studies. Based on the econometric analysis of domestic and foreign literature, this paper proposes a path for domestic innovation and entrepreneurship education reform that can make China's future education reform more effective.