Our study elucidates collaborative value creation and private value capture in collaborative networks in a context of sustainability. Collaborative networks that focus on innovative solutions for grand societal challenges are characterized by a multiplicity and diversity of actors that increase the complexity and coordination costs of collective action. These types of inter-organizational arrangements have underlying tensions as partners cooperate to create collaborative value and compete to capture or appropriate value on a private or organizational level, resulting in potential and actual value flows that are highly diffuse and uncertain among actors. We also observe that network participants capture value differentially, often citing the pro-social (e.g. community, belonging, importance) and extrinsic benefits of learning and reputation as valuable, but found it difficult to appropriate economic or social benefits from that value. Differential and asymmetric value appropriation among participants threatens continued network engagement and the potential collective value creation of collaborative networks. Our data indicates that networked value creation and capture requires maintaining resource complementarity and interdependency among network participants as the network evolves. We develop a framework to assess the relational value of collaborative networks and contribute to literature by unpacking the complexities of networked value creation and private value capture in collaborative networks for sustainability.
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In many European cities, urban experimentation is increasingly preferred as a method for testing and disseminating innovations that might ignite a transformation toward more sustainable cities. By both academics and practitioners, these experiments tend to be approached as relatively neutral initiatives through which plural urban stakeholders willfully collaborate, while their success is seen as above all dependent on effective management. For this reason, the political nature of urban experiments, in the sense that they entangle different and often contending stakeholders in their innovation processes, remains relatively unarticulated in both practice and the academic literature. Building on the urban experimentation literature and political theory, this conceptual paper argues that the depoliticization of experimental initiatives is especially problematic for unleashing their transformative potential, which requires revealing the existing power-relations and biases keeping the status-quo in place and negotiability of radical alternatives. From this perspective, the paper sketches out four ideal-typical trajectories for experiments as related to their (de)politicization; optimization, blind leap, antagonistic conflict and transformation. Bringing insights from political theory to bear on the urban experimentation literature, we proceed to hypothesize the implications of our ideal-types for urban experiments’ transformative capacities. The paper closes by presenting a future research and policy agenda.
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Introduction to the Special Issue of the Journal on Translation and Interpreting Studies 17:3 (2022)
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Social learning is the process of exchanging and developing knowledge (including skills and experiences) through human interaction. This key planning process needs to be better understood, given the increase and variety of non-planners influencing planning processes. This article explores who learns what from whom through social learning in planning. We unpack social learning theoretically to be able to map it, and employ empirically-based storytelling to discuss its relevance to planning practice. We conclude that social learning can lead to positive and negative outcomes and provides a useful analytical lens to understand planning practices at the level of individuals.
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We examine the ideological differences in the debate surrounding large language models (LLMs) and AI regulation, focusing on the contrasting positions of the Future of Life Institute (FLI) and the Distributed AI Research (DAIR) institute. The study employs a humanistic HCI methodology, applying narrative theory to HCI-related topics and analyzing the political differences between FLI and DAIR, as they are brought to bear on research on LLMs. Two conceptual lenses, “existential risk” and “ongoing harm,” are applied to reveal differing perspectives on AI's societal and cultural significance. Adopting a longtermist perspective, FLI prioritizes preventing existential risks, whereas DAIR emphasizes addressing ongoing harm and human rights violations. The analysis further discusses these organizations’ stances on risk priorities, AI regulation, and attribution of responsibility, ultimately revealing the diverse ideological underpinnings of the AI and LLMs debate. Our analysis highlights the need for more studies of longtermism's impact on vulnerable populations, and we urge HCI researchers to consider the subtle yet significant differences in the discourse on LLMs.
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Visual research has historically been productive in foregrounding marginalised voices through photovoice as alternative to the written and oral forms of participation that dominate public participation. Photovoice projects have however been slow to leverage digital and spatial technologies for reworking the method in ways that enable geospatial analysis and collect structured metadata that can be used in workshops to bring different groups together around unpacking urban problems. The Urban Belonging project contributes to this by testing a new application, UB App, in an empirical study of how participants from seven marginalised communities in Copenhagen experience the city, including ethnic minorities, deaf, homeless, physically disabled, mentally vulnerable, LGBTQ+, and expats in Denmark. From a dataset of 1459 geolocated photos, co-interpreted by participants, the project first unpacks community-specific patterns in how the city creates experiences of belonging for different groups. Second, it examines how participants experience places differently, producing multilayered representations of conflicting viewpoints on belonging. The project hereby brings GIS and digital methods capabilities into photovoice and opens new epistemological flexibilities in the method, making it possible to move between; qualitative and quantitative analysis; bottom-up and top-down lenses on data; and demographic and post-demographic ways or organising participation.
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Our study elucidates relational value creation and appropriation in collaborative networks for sustainability (CNfS), which focus on grand societal challenges and include a multiplicity and diversity of actors. Using a relational view lens, we conducted a longitudinal, multiple case, field study of collaborative networks for sustainability in the circular textile and fashion industry, unpacking the interplay between value creation from relational interdependence, relational-specific assets and material output and the multilevel appropriation of that value. Our findings show that value appropriation is contingent on the perception of use value and cascades through individual, organizational and network levels. The ability of actors to capture cascading value on different levels has a direct influence on sustaining the continuity of value creation and to achieving the shared societal goals of CNfS. We developed a model of value appropriation in CNfS to illustrate the cascading flow of value at micro (individual), meso (organizational) and macro (network) levels. Our study makes novel contributions to the literatures on strategic alliances, cross-sector partnerships, and open innovation networks.
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Our study elucidates relational value creation and appropriation in collaborative networks for sustainability (CNfS), which focus on grand societal challenges and include a multiplicity and diversity of actors. Using a relational view lens, we conducted a longitudinal, multiple case, field study of collaborative networks for sustainability in the circular textile and fashion industry, unpacking the interplay between value creation from relational interdependence, relational-specific assets and material output and the multilevel appropriation of that value. Our findings show that value appropriation is contingent on the perception of use value and cascades through individual, organizational and network levels. The ability of actors to capture cascading value on different levels has a direct influence on sustaining the continuity of value creation and to achieving the shared societal goals of CNfS. We developed a model of value appropriation in CNfS to illustrate the cascading flow of value at micro (individual), meso (organizational) and macro (network) levels. Our study makes novel contributions to the literatures on strategic alliances, cross-sector partnerships, and open innovation networks.
DOCUMENT
Our study elucidates relational value creation and appropriation in collaborative networks for sustainability (CNfS) that focus on grand societal challenges and include a multiplicity and diversity of actors. Using a relational view lens, we conducted a longitudinal, multiple case, field study of collaborative networks for sustainability in the circular textile and fashion industry, unpacking the interplay between value creation from relational interdependence, relational-specific assets and material output and the multilevel appropriation of that value. Our findings show that value appropriation is contingent on the perception of relational use value and cascades through individual, organizational and network levels. The ability of actors to capture cascading value on different levels has a direct influence on the sustained continuity of value creation and to achieving the shared societal goals of CNfS. We developed a model of value appropriation in CNfS to illustrate the cascading flow of value at micro (individual), meso (organizational) and macro (network) levels. Our study makes novel contributions to the literatures on strategic alliances, cross-sector partnerships, and open innovation networks.
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