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Knowledge-intensive entrepreneurial firms (KIE) strongly rely on scientific and strategic research and development (R&D) capabilities to achieve higher performance levels. Hence, the purpose of this paper is to disentangle the effects of scientific capabilities and strategic R&D on KIE performance; and how the constituent elements of these dimensions can be configured to generate conditions for high performance.

The authors’ empirical setting involves companies that submitted projects to the Innovative Research in Small Businesses (PIPE) program in Brazil. The authors then run partial least square structural equation modeling to verify how scientific and strategic R&D capabilities influence the performance construct. Second, the authors apply fuzzy-set qualitative comparative analysis to identify configurations that are equifinal in terms of generating superior performance.

Findings indicate a strong association between scientific capabilities and KIE performance. The configurational approach outlines the existence of multiple paths to success, but human capital stands as a core condition throughout estimations.

The authors’ assessment has implications for how KIE firms are managed according to their organizational profiles and trajectories. Also, it advances the authors’ comprehension on how entrepreneurship policies can better target these distinct profiles.

The authors’ analysis provides new evidence on the inherent complexity behind the generation of high performance in KIE when addressing their portfolios of knowledge-related capabilities. More than that, the authors were able to identify the existence of heterogeneous profiles that can equally lead to higher levels of performance.

By using the lens of effectuation and causation, this paper aims at exploring how the team is formed in high-tech academic spinoffs, by looking specifically at decisional heuristics in an academic context. Indeed, the team composition is a critical issue for the subsequent growth of the academic new venture: on the one hand, the scientific-centred knowledge of the academic entrepreneurs is one of the main elements that lay the foundation for the new venture; on the other hand, it has been widely recognized that the lack of market-related knowledge and experience often has detrimental effects on performance. Decisive is then to explore how team decisions pertaining to the team formation process are taken.

A qualitative methodology based on multiple case studies is adopted under an abductive approach.

Results shed light on how decisions pertaining to team formation are taken by academic entrepreneurs and with what effects on team composition, a fundamental element to foster the growth of academic new ventures. Specifically, this study derives some propositions about the adoption of effectuation and causation in the team formation process, their occurrence and sequence in the light of the scientific context in which academic new ventures spin out and the effects on the team composition.

This study contributes to the debate on academic entrepreneurs’ decisional heuristic and the use of effectuation or causation in the early stages of an academic new venture, by focusing on the team formation process. This study specifically considers three temporal micro-phases – the selection of founders before inception, the appointment of top management teams, and the integration of early employees after the inception – and whether the academic context influences the decisional heuristics. Managerial implications are also derived.

In this paper, the authors aim to introduce international dynamic marketing capabilities (IDMCs) theoretically derived from marketing capabilities (MCs), dynamic marketing capabilities (DMCs) and international marketing capabilities (IMCs) and provide a novel conceptualization of the concept by applying a holistic view of the international enterprise.

This is a literature review that maps the current research on MCs, DMCs and IMCs and serves as a basis for the theoretical conceptualization of a novel IDMCs concept as well as for the identification of research gaps and the development of future research directions on this phenomenon.

Existing typologies of MCs, DMCs and IMCs are classified into four categories: strategic, operational, analytical and value creation capabilities. A new typology of IDMCs is proposed, consisting of digital MC and dynamic internationalization capability as strategic capabilities, agile IMC, IM excellence and absorptive capability in IM as operational capabilities, IM resilience capability, IM knowledge management capability, AI-enabled IDMC and Industry 4.0-enabled IDMC as analytical capabilities, and ambidextrous IM innovation capability as value creation capability. Finally, the authors identify research gaps and develop research questions that open future research avenues for the coming years.

This paper offers a novel view of MCs, DMCs and IMCs and argues that, in contrast to the majority of previous research, a comprehensive understanding of these is only possible if all levels are considered simultaneously: the strategic, the operational, the analytical and the value creation level. A new conceptualization and typology of IDMCs follows this logic.

This paper aims to construct a process model of business founding in the biotech industry.

An inductive method is used, and five case studies analyzed. Data are coded by applying Gioia’s method.

Aspirant entrepreneurs conduct resource analysis and industry analysis to formulate research and development targets. They perform transactions and networks because they require resources, and they then deploy and coordinate these resources. Such coordination generates activities with social and financial impacts.

The results are specific to the biotech industry. A future study could examine business founding processes in other industries (e.g. entertainment, fashion, public utilities and sport). Additionally, the paper argues that during the founding process entrepreneurs show little concern for knowledge-sharing risk, as they want to collaborate to implement their ideas. Quantitative papers could test the consequences of such behavior.

The process model provides insights into aspirant founders on how to start a business in the biotech industry.

The paper shows: the differences between the founding process in the biotech industry versus other industries; and the shape of the Bower–Burgelman model in the context of biotech business founding. The paper delineates how private companies discover competencies in the public sector; a model of technology transfer from public to private sector; entrepreneurs’ absence of risk perceptions regarding knowledge-sharing during founding; and how conferences can serve as vehicles for benchmarking in networking.

The purpose of the study is to examine how small and medium audit practices (SMPs) in emerging economies build and anchor on dynamic auditing capability to operate in a turbulent business environment occasioned by the Covid-19 pandemic.

The study adopts an exploratory qualitative methodology using qualitative data collected with the aid of an open-ended instrument. With the help of a qualitative data analysis software QSR NVivo9, data were analyzed following Gioia's methodology with a four-stage coding process that combines both a deductive and an inductive approach.

The findings of the study show that to manage operations during the Covid-19 pandemic, SMPs developed and anchored on dynamic auditing capabilities. Specifically, the findings show that this required transformation of existing operational capabilities, shiftiness, flexibility and innovativeness of the SMPs as well as leveraging networking and adaptive sub-capabilities.

The study produces a pioneer result of how to develop and anchor on the dynamic auditing capability by the SMP subsector of the audit industry to continue operations in a turbulent business environment the magnitude of the Covid-19 pandemic.

This paper aims to adopt a practice-theory, “site ontology” perspective to understand how venture capitalists (VCs) add value to their portfolio companies (PCs).

The empirical research involves a field ethnographic study of a VC firm in Dubai, focused on revealing what constitutes value and what VCs do to add this value to their PCs.

Value adding is a profoundly social, embedded process interconnected with other ecosystem actors, investment practices and organizations. The value adding threads of VC activity are part of a holistic configuration of practices that span the investment lifecycle and different levels within the firm.

This research contributes a rich account of the social, symbolic nature of VC activity, depicting the everyday activities that comprise value adding practices. It is among the first to introduce practice theory to the VC context and open up a new conversation about its social ontology.

The study aimed to analyze the association between dynamic capabilities and sustainable business model innovation of startups in the Brazilian logistics sector.

A qualitative approach was used through a multiple case study that was operated from semi-structured interviews and secondary data analysis.

The evidence found pointed to different types of innovations in sustainable business models and distinct activities inherent to the three dynamic capabilities surveyed. In addition, the results confirmed that dynamic capabilities can be considered internal drivers that stimulate sustainable business model innovation, since the conception until the change or dissemination.

The diffusion of a model that jointly addresses the theory of dynamic capabilities and sustainable business model innovation.

For managers, the study provides insights into the archetypes of sustainable business model innovation and guidance on how to incorporate into the organization's strategic activities aimed at the different dynamic capabilities to achieve sustainable innovation.

Sustainable business model innovation is seen as a key factor for competitive advantage and corporate sustainability. However, a more comprehensive understanding is necessary for those that promote the design and innovation of sustainable business models. Therefore, the paper addresses this gap by (1) systematizing sustainable logistics initiatives, (2) detailing the processes that support the development of startups' sustainable dynamic capabilities and (3) proposing a framework that establishes connections between capabilities, business model innovation processes, business model archetypes and the environmental, social and economic impacts.

The purpose of this paper is to investigate the functionality and effectiveness of the Carbon Risk Real Estate Monitor (CRREM tool). The aim of the project, supported by the European Union’s Horizon 2020 research and innovation program, was to develop a broadly accepted tool that provides investors and other stakeholders with a sound basis for the assessment of stranding risks.

The tool calculates the annual carbon emissions (baseline emissions) of a given asset or portfolio and assesses the stranding risks, by making use of science-based decarbonisation pathways. To account for ongoing climate change, the tool considers the effects of grid decarbonisation, as well as the development of heating and cooling-degree days.

The paper provides property-specific carbon emission pathways, as well as valuable insight into state-of-the-art carbon risk assessment and management measures and thereby paves the way towards a low-carbon building stock. Further selected risk indicators at the asset (e.g. costs of greenhouse gas emissions) and aggregated levels (e.g. Carbon Value at Risk) are considered.

The approach described in this paper can serve as a model for the realisation of an enhanced tool with respect to other countries, leading to a globally applicable instrument for assessing stranding risks in the commercial real estate sector.

The real estate industry is endangered by the downside risks of climate change, leading to potential monetary losses and write-downs. Accordingly, this approach enables stakeholders to assess the exposure of their assets to stranding risks, based on energy and emission data.

The CRREM tool reduces investor uncertainty and offers a viable basis for investment decision-making with regard to stranding risks and retrofit planning.

The approach pioneers a way to provide investors with a profound stranding risk assessment based on science-based decarbonisation pathways.

This study investigates the extent to which a company's usage of open access (OA) literature for R&D activities depends on its size. The authors’ assumption is that smaller pharmaceutical companies have less access to (usually expensive) journal subscriptions.

A fixed-effect Poisson model was used to study a panel dataset of USPTO pharmaceutical company patents. The dependent variable is the count of citations to OA resources in a given company patent.

Results support current anecdotal evidence that many SMEs suffer from high journal prices.

This result justifies the assumption made by policymakers about the potentially positive impact OA mandates have on national innovation activity. It was also shown that collaborating with universities can be a potential coping mechanism for companies that struggle to gain access to the journals they need. In addition to the novelty of its findings, this study introduces a new way to study the impact of OA in nonacademic contexts.

Climate change poses risks to society and the demand for carbon literacy within small and medium-sized enterprises is increasing. Skills and knowledge are required for organizational greenhouse gas accounting and science-based decisions to help businesses reduce transitional risks. At the University of Copenhagen and the University of Northern British Columbia, two carbon management courses have been developed to respond to this growing need. Using an action-based co-learning model, students and business are paired to quantify and report emissions and develop climate plans and communication strategies.

This paper draws on surveys of businesses that have partnered with the co-learning model, designed to provide insight on carbon reductions and the impacts of co-learning. Data collected from 12 respondents in Denmark and 19 respondents in Canada allow for cross-institutional and international comparison in a Global North context.

Results show that while co-learning for carbon literacy is welcomed, companies identify limitations: time and resources; solution feasibility; governance and reporting structures; and communication methods. Findings reveal a need for extension, both forwards and backwards in time, indicating that the collaborations need to be lengthened and/or intensified. Balancing academic requirements detracts from usability for businesses, and while municipal and national policy and emission targets help generate a general societal understanding of the issue, there is no concrete guidance on how businesses can implement operational changes based on inventory results.

The research brings new knowledge to the field of transitional climate risks and does so with a focus on both small businesses and universities as important co-learning actors in low-carbon transitions. The comparison across geographies and institutions contributes an international solution perspective to climate change mitigation and adaptation strategies.