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.
In this study, several aspects of Saxion spin-offs have been analysed, the numbers, workplaces, location, migration, gender issues, different economic sectors and survival rates. The main question underlying all these analyses was what the impact of Saxion as university of applied sciences is on the regional economy of the two regions in which it is located.From the literature, the concept of an entrepreneurial ecosystem, as explanatory factor for the observations that in certain regions more graduates or staff members start their own business and that such an ecosystem helps small fledgling businesses to survive and grow is an interesting concept. Unfortunately, the theoretical foundations are still not fully crystallized, therefore measuring the actual influence of such entrepreneurial ecosystems is still a difficult exercise. In this study, Saxion spin-offs from two regions, Twente and the Cleantech Region, have been analysed, and several differences in terms of number of spin-offs, employment, migration patterns and survival rates have been identified. Since the spin-offs are from the same university of applied sciences, with the same policy regarding support of entrepreneurship and both regions are located outside of the economic core regions of the country, it appears as if the strength of the regional context, the regional entrepreneurial ecosystem and the business opportunities it provides is a factor in explaining why there are more spin-offs in Twente (even when controlling for the larger size of the Saxion campus in this region). If one assumes that the strength of the entrepreneurial ecosystem is stronger in Twente (among others because of existing business networks, the availability of a world class research university, the University of Twente and a business support organization like Novel-T), it would explain why spin-offs located in this region on average offer more workplaces, and have a higher survival rate than in the Cleantech Region.Gender differences related to entrepreneurship are present in Saxion spin-offs, female graduates and staff members are much less likely to start a spin-off company than their male counterparts. When females do start, their spin-offs are on average much smaller in terms of workplaces offered. Their businesses have on average an equal survival rate than those started by a male entrepreneur. Findings from the literature on the subject and the numbers found in this study suggest that there is a need for specific programs in Saxion targeting females, to at least think about starting their own business. Also, specific mentoring programs for spin-offs with female entrepreneurs may help to let these businesses grow and increase their regional economic impact.Saxion spin-offs can be found in many different sectors, something understandable given the broad spectrum of study programs in Saxion. Even though most spin-offs remain micro sized businesses, certain economic sectors seem to offer better scalable business models, especially in sectors such as industry, information and communication technology businesses and business support services. The number as well as employment in the more innovative and internationally competitive topsectors is much higher in the region Twente than in the Cleantech Region, possibly another consequence of the – apparently – stronger regional entrepreneurial ecosystem in Twente.An often-stated argument for regional economic development is that investing in spin-off companies will help to create workplaces in the region, since companies are not very likely to move. In this study, the data on migration of spin-offs have been compared with the migration of graduates, based on the HBO-monitor survey. It is not possible to one-on-one compare the two datasets, as the migration of spin-offs is calculated for the first five years of their existence and the HBO-monitor is held around one and a half year after graduation. Still, w
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Reflections: Systemic (Co) Design is still relatively unknow to practitioners As well as to academics in the economic domain Dialogue requires active involvement and experiencing diverse perspectives through a variety of methods/tools Artifacts contribute to the continuity of the dialogues Gathering data (and interpreting data) remains complex The insights generated by the workshops connect practice and research guiding both learning and research Designers play an essential role in reflexivity and thus promote learning
