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This study aims to analyze the challenges startups face in implementing business models for sustainability. In particular, the research question of this study is: How do the challenges faced by startups affect business models for sustainability in the context of an emerging country?

Startups are increasingly incorporating ways to thrive in a competitive environment with innovative sustainable business models, a key factor for competitive advantage and corporate sustainability. This paper analyses startups’ challenges in adopting business models for sustainability through a case study in two startups, using the sustainable value exchange matrix (SVEM) tool through workshops, to carry out the diagnosis of these challenges.

The barriers and challenges of business models for sustainability in startups were found in different categories, where the main barriers are linked to the institutional category, the organizational and the market and sales culture. Thus, the authors concluded that there is a need to reformulate public policies and to have greater participation of the actors involved.

The main limitation of the research is the number of case studies (only two), which makes it difficult to generalize the results.

The research presents two major contributions. First, through the case studies, it is possible to verify that the barriers and challenges in business models for sustainability have relevance for startups. The second contribution is the adaptation of SVEM in conducting the debate by incorporating the barriers and challenges in value creation and delivery system.

This study contributes to the business models for sustainability literature to better understand the challenges startups face in practice and can serve as insights to help overcome them. As this is an empirical study, the information gathered can help create metrics and public policies to achieve the United Nations sustainable development goals.

The present research has as originality the analysis of the challenges in startups in implementing business models for sustainability and their relationships with the value proposition, capture and creation, as well as and delivery (adapted to the challenges found in the literature) applying the SVEM tool proposed by Morioka et al. (2018).

This paper aims to propose an assessment framework to evaluate companies' innovation capability in the context of industrial clusters.

The assessment framework was built based on the Graph-Theoretic Approach (GTA) to measure the influence of the factors and sub-factors of innovation capabilities. To quantify the level of interdependence between factors and sub-factors of innovation capability Delphi method was adopted. The authors developed five case studies in firms from an Information and Communications Technology and Creative Economy cluster in Northeastern Brazil to test the framework's applicability.

The results showed that identifying and evaluating the factors of innovation capability allows a larger understanding of what affects these capabilities to a greater or lesser extent and contributes to strategic decision-making.

The framework evaluates the innovation capability of each firm, not providing an index for the whole industrial cluster. Besides, the framework does not consider the innovations developed by the companies through the innovation's capabilities. As the Delphi technique was adopted to analyze the levels of influence or interdependence between factors and sub-factors of innovation capability, different experts may lead to different results.

Among the managerial implications, the authors can highlight the innovation capability index as a practical performance measure to stimulate improvement initiatives regarding innovations in industrial clusters. Besides, as the proposed framework is generic, research organizations, public institutions and regional governments can adopt it to analyze innovation capabilities in cluster-based companies.

Previous industrial cluster studies have concentrated on knowledge transfer as the main attribute influencing innovation capabilities. The literature also presents assessment frameworks focusing on qualitative analyses or innovation capabilities outcomes (patents and products). Differently, the authors proposed a quantitative assessment framework considering specific factors (and sub-factors) of innovation capabilities in industrial clusters.