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Dat technologie goed is voor de economie, dat is al eerder gesuggereerd. Maar is technologie ook goed voor het sociale van onze samenleving? We zijn digitaal en worden steeds digitaler, worden we er nu ook sociaal beter van? En hoe kun je technologie gebruiken om de sociale kwaliteit te verhogen? Met deze vragen worstelde Digistein de afgelopen jaren. In deze publicatie wordt verslag gedaan van dat experiment. Digistein is een van de vier landelijke pilotprojecten geweest waarin gekxperimenteerd werd met ICT als drager van sociale interventies, van maatschappelijke ontwikkeling.
This chapter takes a closer look at the case of Amsterdam as a particular manifestation of a film festival city. Drawing from a new dataset on festivals in the Netherlands, the data supports the view of film festivals as a highly dynamic cultural sector: Internationally acclaimed film festivals exist beside smaller festivals that are more community bound; new festivals emerge annually, and young festivals struggle to survive the three-to-five-year mark.Amsterdam holds a unique position in the Dutch film festival landscape as a third of all film festivals in the Netherlands take place in the capital city. Our data collection helps to bring parts of the city’s film infrastructure to the forefront. On the one hand, Amsterdam’s top five locations for film festival events show clear creative cities logic: The data shows just how powerful the pull of such locations is. On the other hand, we find evidence of placemaking and livable city strategies: Amsterdam’s film festivals extend into the capillaries of the city.Dedicated festival datasets may cast new perspectives on local or national festival landscapes, by revealing patterns that remain hidden in qualitative and case-study based projects. But there are also challenges to address in data-driven research on festival cultures, we name a few such as categorization of data. We conclude that such challenges can be more easily faced if more datasets, of for instance, other cities, are pursued and become available.
MULTIFILE
Over the last decade, the concept of a circular economy, an industrial economy that is restorative or regenerative by intention and design, has gained increased attention of policy makers, industry and academics. Recently the number of innovation projects, set up by local governments, communities, non-governmental organizations and businesses, to experiment with new sustainable technologies for a circular city, has increased substantially. This paper aims to explore how in this emerging field different stakeholders collaboratively create value and develop a viable sustainable business model. We do so by building on business model literature and literature on innovation networks and combining these with insights on value outcomes and learning from strategic management. For this study we take a qualitative research approach, building on four innovation projects for a circular city, characterized by collaboration of a wide variety of stakeholders, each being initiated and coordinated by a different stakeholder type. The findings show an emphasis on technical and organizational learning, influencing expected and unexpected value outcomes. The main contribution of this paper is a conceptual framework to analyse value creation and capture within the context of open partnerships through different learning types. Learning proves to be an effective mechanism in innovation networks to create and capture more economic, environmental and social value then initially aimed for.
Recent economic crises, environmental problems and social challenges have urged us to drastically change our consumption and production patterns and transform organisations to contribute to socio-technical transitions that positively impact these challenges. Therefore, sustainable development and the transition towards a circular economy are gaining increased attention from academics and are being widely adopted by national and local governments, companies and other organisations and institutions. Since the implementation of more sustainable solutions lags behind expectations and technological possibilities, scholars and practitioners are increasingly seeing sustainable business model innovation as the key pathway to show the value potential of new sustainable technology and stress the importance of integrating the interests of multiple stakeholders and their economic, environmental and social value goals in the business model’s development. However, there is limited research that elucidates which stakeholders are actively involved, how they interact and what the effect is on the collaborative business modelling process for sustainability. This thesis addresses this research gap by building on the notion of business models as boundary-spanning activity-systems and studies stakeholder interaction from the level of a focal firm, as well as from the level of cross-sector actors collaborating in innovation ecosystems. Through four independent studies, three empirical studies and a design science study, this thesis aims to provide a better understanding of how stakeholder interaction affects collaborative business modelling for sustainability.The first study (Chapter 2) took a process perspective on interaction with network ties from the perspective of a focal firm. Based on two case studies of SMEs successfully introducing sustainable technology in the market, value shaping was identified as the operative mechanism describing the relation between networking and business modelling, from ideation to growth of the business. A stage model with five successive forms of value shaping describes how, in each stage, interaction with network ties help firms to clarify the types of economic, environmental and social value that a sustainable technology can deliver and who possible beneficiaries are. In return, changes in the business model clarify what other network ties are needed, demonstrating how the boundary-spanning function of business models spurs firms to expand and strengthen the value network.The second study (Chapter 3) focused on the commercialisation stage, in which a cognitive change in the manager’s mind was found during the development of a sustainable business model. Based on three empirical cases of business model innovations for sustainability, the study explored how stakeholder interaction may trigger and support managerial cognitive change and hence business model innovation. The findings suggest that the influence of stakeholders on the manager’s understanding of the business runs via three interrelated shaping processes: market approach shaping, product and/or service offering shaping and credibility shaping. In these shaping processes, new or latent stakeholders are found to have a bigger impact than existing ones. A research agenda is presented to further unravel the role of stakeholders affecting managerial cognition around business model innovation for sustainability.The third study (Chapter 4) examined innovation ecosystems’ processes of developing a collaborative business model for sustainability. Based on a study of four sustainably innovative cross-sector collaborations, this chapter studied how innovation ecosystems resolve the tensions that emerge from the collaborating actors’ divergent goals and interests. This study finds that innovation ecosystems engage in a process of valuing value that helps the actors to manage the tensions and find a balance of environmental, social and economic value creation and capture that satisfies all involved actors. The findings reveal that valuing value occurs in two different patterns – collective orchestration and continuous search – that open up a research agenda that can shed further light on the conditions that need to be in place in order for an innovation ecosystem to develop effective sustainable business models. The final study (Chapter 5) used a design science approach, developing a tool for innovation ecosystems’ actors to manage the degree to which stakeholders are involved throughout the process of collaborative business modelling for sustainability. The resulting ‘degree of engagement diagram’ and accompanying stepwise approach makes it possible to identify stakeholders from six cross-sector stakeholder groups that represent economic, social and environmental aspects of sustainable value and visualise their roles. By discriminating between four concentric and permeable circles of engagement, the tool integrates different degrees of involvement of stakeholders and enables users of the DoE diagram to accommodate changes that may occur in the evolving business model and its context. The tool enables innovation ecosystems’ actors to keep the collaboration manageable during the development of a joint and viable sustainable business model. Overall, this thesis extends the understanding of the dynamics of collaborative business modelling for sustainability and the role of stakeholder interaction therein. The research makes three key contributions to the sustainable business model innovation literature. First, it extends the literature by exploring the interplay between stakeholder interaction and business modelling over time. It establishes that stakeholder interaction and business modelling have a reciprocal relationship and contributes with two frameworks – value shaping and valuing value – that explain this reciprocal relationship for firms and innovation ecosystems. Second, the thesis unravels the micro-processes and mechanisms that elucidate how stakeholder interaction actually influences the direction into which the sustainable business model develops. Third, this thesis enriches the scholarly understanding of stakeholder interaction by identifying the main contributors to business model innovation for sustainability, by differentiating between stakeholders and their roles and by providing a tool that accommodates this. The research contributes to practice by offering practitioners useful insights on how they can increase, improve and effectuate stakeholder interaction in order to develop viable business models for sustainability and hence contribute to the desired socio-technical transitions.
This article aims to uncover the processes of developing sustainable business models in innovation ecosystems. Innovation ecosystems with sustainability goals often consist of cross-sector partners and need to manage three tensions: the tension of value creation versus value capture, the tension of mutual value versus individual value, and the tension of gaining value versus losing value. The fact that these tensions affect all actors differently makes the process of developing a sustainable business model challenging. Based on a study of four sustainably innovative cross-sector collaborations, we propose that innovation ecosystems that develop a sustainable business model engage in a process of valuing value in which they search for a result that satisfies all actors. We find two different patterns of valuing value: collective orchestration and continuous search. We describe these patterns and the conditions that give rise to them. The identification of the two patterns opens up a research agenda that can shed further light on the conditions that need to be in place in order for an innovation ecosystem to develop effective sustainable business models. For practice, our findings show how cross-sector actors in innovation ecosystems may collaborate when developing a business model around emerging sustainability-oriented innovations.
Both research and practice acknowledge that an increasing number of business models are realized by multiple organizations in innovation ecosystems. Little research addresses how organizations develop these business models jointly over time and balance the tensions that occur from the divergent goals and interests of each actor. We propose that the concept of value valuation may be helpful in understanding this process. Value valuation is a balancing process that takes place between actors in an innovation ecosystem when collaborating around a business model for sustainability, making sure that the benefits of ecosystem membership outweighs its costs, leading to continuing support of the initiative. Based on four smart city projects for a circular economy we find that value is valuated along two dimensions: economic, environmental and social value; and mutual and individual value. Value valuation takes place in iterative cycles and is characterized by a number of mechanisms, including action-based experimenting. These findings open up a research agenda to study the dynamics of ecosystem-based business model development.
Liveability along four streets in Hanoi, Vietnam is assessed. Hanoi is a rapidly growing metropolis characterised by high levels of personal motorized traffic. Two high traffic volume streets and two low traffic volume streets were studied using a mixed methods approach, combining the collection and analysis of quantitative and qualitative data on traffic volumes and liveability perceptions of its residents. The research methodology for this study revisits part of the well-known Liveable Streets study for San Francisco by Appleyard et al. (1981). A Principal Component Analysis (PCA) shows that residents on both low traffic volume streets experience less traffic hazard and stress, including noise and air pollution, than neighbouring high traffic volume streets. In line with Appleyard, the study shows that low traffic volume streets were rated more liveable than high traffic volume streets. In contrast to Appleyard, however, the study also shows that traffic volumes are not correlated with social interaction, feeling of privacy and sense of home, which is likely caused by the high levels of collectivism typical for Vietnam. Finally, the study indicates a strong residential neighbourhood type dissonance, where a mismatch exists between preferences for living in peaceful and quiet streets and the actual home location of residents.
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