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Organizations increasingly use knowledge arbitrage to stimulate innovation and achieve competitive advantage. However, in knowledge management its use in startups is yet unexplored. This study aims to examine the utilization of knowledge arbitrage by startups, specifically during COVID-19.

This study employed an open-ended essay methodology to explore the drivers and barriers that startups face in utilizing knowledge arbitrage. We collected data from 40 participants to understand the role of knowledge arbitrage in startups’ knowledge management practices.

This study’s findings highlight the significance of knowledge arbitrage for startups. The benefits identified include organizational benefits such as building networks, innovating new products and achieving competitive advantage and financial benefits such as cost reduction and sales growth. The study also identifies several technological and organizational drivers and barriers that startups confront during knowledge arbitrage.

This study contributes to the existing literature on knowledge management by extending our understanding of knowledge arbitrage’s role in startups. Additionally, it sheds light on the importance of knowledge arbitrage for startups and the challenges they face, particularly in a disrupted environment reared by COVID-19. The study provides insights for the scholars and practitioners interested in effective knowledge management in startups.

This study attempts to explore the linkages between reliable big and cloud data analytics capabilities (RB&CDACs) and the comparative advantage (CA) that applies in the manufacturing sector in the countries located in North Africa (NA). These are considered developing countries through generating green product innovation (GPI) and using green process innovations (GPrLs) in their processes and functions as mediating factors, as well as the moderating role of data-driven competitive sustainability (DDCS).

To achieve the aim of this study, 346 useable surveys out of 1,601 were analyzed, and valid responses were retrieved for analysis, representing a 21.6% response rate by applying the quantitative methodology for collecting primary data. Convergent validity and discriminant validity tests were applied to structural equation modeling (SEM) in the CB-covariance-based structural equation modeling (SEM) program, and the data reliability was confirmed. Additionally, a multivariate analysis technique was used via CB-SEM, as hypothesized relationships were evaluated through confirmatory factor analysis (CFA), and then the hypotheses were tested through a structural model. Further, a bootstrapping technique was used to analyze the data. We included GPI and GPrI as mediating factors, while using DDCS as a moderated factor.

The empirical findings indicated that the proposed moderated-mediation model was accepted due to the relationships between the constructs being statistically significant. Further, the findings showed that there is a significant positive effect in the relationship between reliable BCDA capabilities and CAs as well as a mediating effect of GPI and GPrI, which is supported by the proposed formulated hypothesis. Additionally, the findings confirmed that there is a moderating effect represented by data-driven competitive advantage suitability between GPI, GPrI and CA.

One of the main limitations of this study is that an applied cross-sectional study provides a snapshot at a given moment in time. Furthermore, it used only one type of methodological approach (i.e. quantitative) rather than using mixed methods to reach more accurate data.

This study developed a theoretical model that is obtained from reliable BCDA capabilities, CA, DDCS, green innovation and GPrI. Thus, this piece of work bridges the existing research gap in the literature by testing the moderated-mediation model with a focus on the manufacturing sector that benefits from big data analytics capabilities to improve levels of GPI and competitive advantage. Finally, this study is considered a road map and gaudiness for the importance of applying these factors, which offers new valuable information and findings for managers, practitioners and decision-makers in the manufacturing sector in the NA region.

The paper aims to analyse the construct of business model innovation (BMI) in the digital and sustainable landscape, investigating the key role of boundary strategies. The paper advances a comprehensive framework aimed at further understanding the overlap among digitalization, sustainability and BMI development, by a “boundary approach”.

The paper follows a theoretical approach based on an in-depth review of relevant literature on BMI, digitalization and sustainability as relevant megatrends and, boundary management. By critically integrating the literature, a framework is developed with the objective of supporting firms in the current transformation challenges.

The paper highlights the interplay among BMIs, megatrends and boundary management. The pressures and opportunities driven by the technological changes have made even more relevant the management of resources placed in the boundary area. Our study shows how firms can rethink their BMs in the digital and sustainable landscape by providing a boundary-based framework.

The framework offers insights and guidelines to help practitioners manage the change processes dictated by digitalization and sustainability. The authors encourage a focus on boundary resources/capabilities to increase the effective management of the digitalization and sustainability processes, to grasp the external stimuli driven by these two megatrends and to develop new/renewed BMIs.

This study emphasizes the importance of developing new BMIs in the current digital and sustainable landscape starting from the analysis of firm’s boundaries. The paper enriches the BMI literature supporting the enhancement of boundary management, leading firms to overcome challenges in the digital and sustainable landscape.

This study analyses the effects of firm efficiency on firm performance and how controlling shareholders moderate the link between the two variables.

This study employs data envelopment analysis to estimate firm efficiency and the panel regression method to assess the hypothesised relationships among 1,295 firm-year observations of publicly listed firms in Malaysia from 2015 to 2019.

The results indicate that firm efficiency (technical efficiency, pure technical efficiency and scale efficiency) has mixed relationships with firm performance (return on assets, market-to-book ratio and operating cash flows), all of which are being moderated by controlling shareholdings.

This study highlights the importance of assessing firm efficiency as the key success factor for improving firm performance. Industrial managers should manage efficiently their resources or operating costs in achieving their corporate financial goals. Moreover, this study notes the presence of controlling shareholders, who can be either self-interested or company goal aligned.

This study suggests becoming efficient in transforming inputs into outputs is a prerequisite before investigating accrual-based and cash-based firm performance measures, and the presence of controlling shareholders matters in these regards.

The insurance industry has been slow to adopt digital technologies due to high barriers to entry, product complexity, capital reserves, solvency requirements, and regulatory constraints. This chapter focuses on how insurtech is disrupting the insurance industry, resulting in a transformation from a traditional structure to a dynamic user-centric ecosystem. Next, it highlights the insurtech ecosystem by providing an in-depth analysis of the new paradigm on how insurtech is transitioning from the linear value chain to a more dynamic and interconnected value network. Finally, this chapter defines a perspective of insurtech's impact by identifying three waves of transformation within the insurance industry and understanding the evolution and chronology of insurtech's influence. Thus, this chapter provides insights into the opportunities and challenges of this technological breakthrough, offering a comprehensive view of insurtech's transformative journey within the insurance landscape.

The empirical results of the pivotal relationship between big data analytics capability (BDAC) and firm innovation remain inconclusive, necessitating a comprehensive understanding of the mediator and moderator through which firms can realize the potential innovation benefits of BDAC. Invoking the indirect perspective of dynamic capability theory, we constructed a moderated mediation model in which organizational learning mediates the impact of BDAC on firm innovation; the mediation effect of organizational learning is contingent upon market orientation.

Our hypotheses were tested using hierarchical regression and bootstrapping methods with a sample of 227 large- and medium-sized manufacturing firms in China.

The results reveal that both exploratory and exploitative learning fully mediate the link between BDAC and firm innovation. The mediation effect of exploitative learning is positively contingent upon market orientation; however, market orientation does not positively moderate the mediation effect of exploratory learning.

Our moderated mediation model is one of the first to provide a fine-grained understanding of the process through which BDAC is transformed into firm innovation as well as the conditions under which this mediating mechanism may work effectively, thereby further elucidating the theoretical black box regarding the BDAC-firm innovation link and resolving existing debates in the literature regarding why BDAC does not always yield positive outcomes.

The entrepreneurial process often cannot be explained by a single entrepreneurial theory. Instead, it is more likely the result of the interaction between various entrepreneurial behavior patterns and different environmental conditions. However, existing research has frequently overlooked the complexity inherent in the entrepreneurial phenomenon. Building on a configurational perspective, this study aims to examine how new ventures can use different behavioral configurations to achieve high performance amid various uncertain environments.

Based on the survey data from 143 new start-ups in China’s software industry, this study uses fuzzy-set qualitative comparative analysis (fsQCA).

This study jointly considers multiple entrepreneurial behaviors − causation, effectuation and entrepreneurial bricolage and different types of environmental uncertainty − state uncertainty, effect uncertainty and response uncertainty. The findings reveal three behavioral configurations for high/nonhigh new venture performance.

This study expands previous insights into the relationship between entrepreneurial behaviors and new venture performance from the perspective of configurational theory. Moreover, it offers new insights into the types of uncertainty, further refining our understanding of the uncertainties inherent in entrepreneurial activities.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

This paper identified that there are factors the organizations possess that can help them to better to cope and even learn from failure.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Start-ups require a competitive advantage to integrate sustainable practices and develop organizational capabilities to thrive in dynamic business environments. However, implementation of these practices presents several ethical challenges. This study aims to quantify the influence of organizational capabilities (information technology capabilities and organizational virtues) on start-ups' competitive advantage and readiness to implement environmental, social and governance practices.

This study employed a survey design, and data were collected from 320 start-up founders and/or managers in India. The data were analyzed using Smart PLS 4.0.

The findings suggest that organizational capabilities, including information technology capabilities and organizational virtues, play an important role in enhancing start-ups' competitive advantage and readiness to implement sustainable practices. Dynamic capability mediates these relationships, while entrepreneurial orientation moderates the relationship between organizational virtues and dynamic capability.

This study has significant implications for organizations implementing sustainable business practices through the development and nurturance of organizational virtues and information technology capabilities. The study is also useful for leaders, managers and entrepreneurs in training and development, managing tradeoffs and maintaining important organizational capabilities to establish a balance between people’s concerns, the environment and profits.

Few studies have examined the role of organizational capabilities, sustainable business practices and competitive advantage in the context of start-ups. This study contributes to the literature on sustainable entrepreneurship and organizational capabilities.

This paper aims to examine the convergence and divergence of business and production practices in the global wine industry, particularly focusing on Pinot Noir producers in Burgundy, New Zealand and South Africa (SA). This study explores the interplay between firm-specific factors and regional contexts to identify competitive advantage drivers among Pinot Noir producers.

This research uses a comparative analysis approach, using data from a comprehensive winery level survey. This study applies methodologies akin to value chain analysis to unravel the configuration of productive and technology/knowledge creation activities within wineries across three regions.

This analysis reveals both convergence and divergence in business and production practices among Pinot Noir producers in Burgundy, New Zealand and South Africa. Although there is a degree of convergence in marketing, distribution and competition strategies, differences exist in production practices and firms’ capabilities. Burgundy emphasizes tradition and terroir expression, contrasting with the modernization and innovation focus observed in New Zealand and South Africa. However, all regions share a commitment to quality as a competitive advantage.

This study acknowledges limitations such as the focus on a specific grape variety and regions, the absence of performance impact analysis and the need for additional variables like environmental, institutional and cultural factors and consumer preferences to provide a comprehensive understanding of industry dynamics.

The insights from this study offer practical implications for winemakers, industry stakeholders and policymakers. Producers can optimize production and marketing strategies based on regional contexts and market segments, whereas stakeholders can identify emerging trends and opportunities in the global wine market. Policymakers can develop targeted policies supporting innovation, sustainability and competitiveness.

This paper provides a unique contribution by conducting a comparative firm-level analysis across distinct wine-producing regions, shedding light on the nuanced interplay of factors shaping competitive advantage among Pinot Noir producers. This study’s comprehensive data set and methodological approach enhance understanding and offer valuable insights for industry stakeholders and policymakers.