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This paper aims to develop a theoretical framework to understand the role of leadership and organizational learning in intra-organizational digital business strategizing, to contribute to our understanding of how digital business strategies emerge.

Based on a theoretical analysis of relevant literature to connect leadership and organizational learning to intra-organizational digital business strategizing, a co-creation model was developed.

The model demonstrates that digital business strategy emerge through the mediating role of leadership and organizational learning processes, facilitated by the moderating effect of contextual factors, which includes; strategic alignment, information technology competence, institutional trust and organizational change readiness.

Two major limitations of this paper that warrant further research are as follows: the paper’s focus on intra-organizational digital business strategizing which excludes collaborative inter-organizational digital business strategizing among network organizations in Industry 4.0; and the need for empirical examination of the model to evaluate and validate it.

This paper offers a framework that will ensure that digital business strategizing maintains a fit between organizational strategy, structure, knowledge, culture, systems and processes that must align together to achieve the desired strategy.

To the best of the authors’ knowledge, this is the first study to explore the extendibility of leadership and organizational learning to digital business strategizing and to propose how digital business strategies emerge.

This study aims to investigate the adoption intention of artificial intelligence (AI) in family businesses through the perspectives of digital entrepreneurship and entrepreneurship orientation.

The study examines contributing factors explaining the adoption intention of AI in the context of family businesses. The developed research model is examined and validated using structural equation modelling based on 631 respondents' data. Purposeful sampling is used to collect the respondents' data.

The proposed model included two endogenous (i.e. business innovativeness and adoption intention) and six exogenous variables (i.e. affordances, culture and flexible design, entrepreneurial orientation, generativity, openness and technology orientation) through ten direct paths and three indirect paths. The results depicted the significant influence of all the exogenous variables on the endogenous variable reflecting support of all the hypotheses. The business innovativeness partially mediates the relationships of culture and flexible design, entrepreneurial orientation and technology orientation with adoption intention. Further, the results demonstrated a model variance of 24.6% for business innovativeness and 64.2% for adoption intention of artificial intelligence in the family business.

The study contributes to theoretical developments in entrepreneurship and family business research and AI's theoretical progress, especially to digital entrepreneurship.

Theoretically, it contributes to the literature of entrepreneurship, particularly digital entrepreneurship. Additionally, the research model adds to the role of entrepreneurial orientation and digital entrepreneurship in the emerging family entrepreneurship literature. Considering the scarcity of research in this field, the empirically validated model explaining critical antecedents of AI adoption intention in the family business is a foundation for discussion, critique and future research.

The issue of trust in Industry 4.0 is extremely important from an organization’s perspective. The dynamic development of 4.0 technologies implies wide-ranging changes, which, in order to be implemented effectively, require cooperation based on trust. The purpose of this literature analysis is to identify key research areas regarding trust in Industry 4.0 and to identify further research directions.

Based on a comprehensive literature analysis, the most prominent areas of research on trust issues in Industry 4.0 will be presented (k=36). This chapter will also identify and discuss directions for further research.

The results of the analysis enable to illustrate the trends of science development in the area of Industry 4.0, as well as to identify key issues related to trust. Moreover, the research problems for further studies on the analyzed issue will also be indicated.

The research presented here identifies key Industry 4.0 technologies that are based on trust.

The review provides a valuable resource for practitioners regarding the critical aspects of implementing Industry 4.0 with respect to trust.

This is the first comprehensive literature review diagnosing research areas, technologies, and directions for future research on trust in Industry 4.0.

Family businesses often lack sufficient knowledge about digital business model innovation digital business model innovation (BMI). This study's purpose was to analyze how and when organizational readiness for digital innovation exerts a positive impact on family businesses' digital BMI. To do so, the authors examined the mediating effect of the familiness learning mechanism and the moderating effect of family involvement on this relationship.

A quantitative survey method was used to collect the data for this study. Using a sample of 282 family businesses involved in manufacturing in China, the authors conducted hierarchical regression analyses to evaluate the authors' theoretical model.

The results of this work demonstrate a positive relationship between organizational readiness for digital innovation and family businesses' digital BMI, and the find that the familiness learning mechanism mediates this relationship. The findings also show that second-generation family involvement in management moderates the direct effect of organizational readiness for digital innovation on the familiness learning mechanism, as well as the indirect effect of organizational readiness for digital innovation on digital BMI via the familiness learning mechanism. Moreover, the results establish that family involvement in ownership moderates the direct effect of the familiness learning mechanism on digital BMI, as well as the indirect effect of organizational readiness for digital innovation on digital BMI via the familiness learning mechanism.

This study provides practical contributions to the literature on family businesses and to public policy, providing concrete suggestions for fostering digital innovation in family enterprises. This study also enriches our understanding of the unique conditions by which family businesses can successfully implement digital BMI.

This research confirms that organizational readiness for digital innovation is an antecedent of digital BMI. This finding offers a new perspective that helps explain what might lead family businesses to engage in digital BMI. This study also places the familiness learning mechanism into a theoretical framework, which expands the current understanding of how organizational readiness for digital innovation facilitates digital BMI. Moreover, this work provides new insights into the boundary conditions by which organizational readiness for digital innovation affects the digital BMI of family businesses in terms of second-generation family involvement in management and family involvement in ownership.

The present study aims to examine the relationships between digital business transformation, organizational learning, frugal innovation and Small and Medium Enterprises (SMEs) resilience in emerging markets.

Empirical data collection has been implemented using a questionnaire method from 214 owners and managers of SMEs. The partial least squares structural equation modeling (PLS-SEM) approach was used to examine the measurement model and test hypotheses.

The results show that digital business transformation significantly impacts frugal innovation and SMEs' resilience in emerging markets. They also confirm the significant impact of frugal innovation on SMEs' resilience. Furthermore, the results revealed that organizational learning significantly impacts digital business transformation, frugal innovation and SMEs' resilience.

This study provides novel insights into the existing theories and literature regarding the determinants of SMEs' resilience in emerging markets. It also provides practical contributions, confirming the SMEs' need to develop their dynamic capabilities, including digital transformation, frugal innovation and organizational learning to maintain their resilience.

This study aims to examine the relevant but overlooked intervening role of knowledge sharing and innovation capability between digital leadership and open innovation. This study hypothesizes that top management knowledge value (TMKV) can strengthen the relationship between digital leadership and knowledge sharing. In line with the resource- and knowledge-based views, the serial mediation model explains how organizations can achieve open innovation through knowledge sharing and innovation capability development under digital leadership.

The research hypotheses were tested with survey data collected in four different rounds, separated by three to four weeks each, from 250 employees working in telecom and IT companies. The statistical analyses relied on the PROCESS macro, which enabled a simultaneous estimation of the direct, mediation and moderated mediation effects that underpin the proposed theoretical framework.

Results showed good support for the serial mediation model. TMKV was found a significant factor to improve knowledge sharing among employees.

The role of leadership is inevitable in the journey of organizational performance, and digital leadership has become a significant phenomenon in this regard. To achieve open innovation, organizations need digital leadership that induce knowledge sharing and innovation capability.

This study contributes to extant research by explaining how digital leadership induces knowledge sharing and innovation capability to achieve open innovation that is highly important to compete and outperform the rivals.

The concept of digitization covers a wide range of initiatives to achieve sustainable development. This paper aims to determine the impact of bank digitization strategies on financial performance in an African country.

This study used the generalized least squares estimation method to analyze data from a sample of 12 Tunisian banks from 2010 to 2020. The reason for selecting this method was its ability to address issues of heteroscedasticity and autocorrelation.

This study indicates that digital transformation has a positive effect on Tunisian banks financial performance, as measured by return on assets and return on equity. Specifically, investing in payment tools, digital channels and internet security leads to improved performance for banks. These findings suggest that banks that offer digital services perform better, as they are able to increase profitability, maintain financial stability and improve transparency.

This study is important for central bank, regulators, policymakers and investors. Overall, this study emphasizes the need for banks in Tunisia to embrace digital transformation to improve their performance and remain viable in the modern business landscape.

This study ponders the effect of Tunisian banks’ digital transformation on financial performance. Tunisia context serves as model for other African countries. Tunisian banks should prioritize investments in digital technologies to stay competitive in the market.

This paper aims to provide a comprehensive, systematic review of the literature on Industry 4.0 – and on the trends and implications of the digitalization of manufacturing – from the perspective of business and economics.

A bibliometric methodology was used, allowing to extract rigorously the relevant literature, leading to a purposefully constructed database of peer-reviewed publications depicting the state of the art in this area. A quantitative analysis of the key characteristics of – and trends emanating from – the literature was performed, and results were presented in a graphic way using the VOSViewer software as a mapping tool. Relevant thematic clusters were identified, and promising future research avenues were identified.

This literature is extremely recent – 90% of the publications are from 2019 and 2020, and the leading journal publishing in this area is the Journal of Manufacturing Technology Management. Key clusters identified relate digital transformation to value chains; a close link is observed between Industry 4.0 technologies and business models; a strong connection to sustainability is also clear; and the implications of Industry 4.0 for human resources management are, not surprisingly, extremely relevant.

This is, to the best of the authors’ knowledge, the most comprehensive systematic review linking specifically Industry 4.0 to the business and economics literature, bridging with recent, state-of-the-art research in the economics/business and technological fields. This contribution may be very helpful to researchers interested in understanding the key trends and opportunities offered by this area.

This paper aims to examine the relationship between organizational learning (OL) and technology through the lens of strategic factors and to ascertain future research directions.

The systematic literature review method was applied in three stages to the 76 articles obtained from Scopus, Web of Science, Google Scholar and EBSCO databases.

This research revealed the evolution of the role of OL in innovation, performance, knowledge management and technological adoption and showcases a detailed conceptual model relating technology outcomes (technological innovation and capabilities) to OL outcomes (technology absorptive capacity, technological proactivity, as well as information technology [IT] and organization process alignment).

This review includes articles mainly in English and excludes conference proceedings.

This research attempts to guide managers and policymakers to foster an organizational culture conducive to technological adoption and OL. It helps organizations develop strategies for new product development, including strategic alliances and strategic leadership.

This review formalizes the linkages between technological absorptive capacity, technological proactivity and IT with technological innovation and capabilities. It identifies research gaps and elucidates future research directions.