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Ensuring equal voice at a tilted table? An explorative study among partnership conveners about their role and practices in addressing power dynamics

The Netherlands: Can journalism live with a more demanding public?

Self-regulation in the Netherlands: Journalists opening up to a more demanding public. In: The Trust factor report on self-regulation 2015

Shifting cognitive frames through collective action to address grand challenges: A case study of a multi-stakeholder initiative in the apparel industry

Inter-organizational arrangements that aim to address social and environmental “grand challenges” often take the form of multi-stakeholder initiatives (MSIs) (also cross-sector partnerships or collaborations). Grand challenges -- problems characterized by knowledge uncertainty, dynamic complexity and value conflict -- require diverse organizations to join forces to resolve them. MSIs are complex and dynamic arrangements due to the constant change occurring in the external environment and in the dynamics of the collaboration, as each participating organization may have very different frames of reference and interests that impede action and continuity. Scholars have long recognized the tensions of conflicting logics that are inherent in MSIs and the challenges that MSIs face in reconciling incongruent organizational identities, goals or shared visions. Accordingly, MSIs need facilitators (i.e., ‘orchestrators’) to navigate the persistent and pervasive challenges of both reconciling conflicting logics and using complementary logics in such a way that the collaboration achieves collective goals. Our study examines how MSI orchestrators work to meet this challenge by shaping and shifting cognitive frames in the context of a mature organizational field. We investigate the mechanisms used to enable cognitive shifts in logic and highlight the role of orchestration in enacting frame shifts. Empirically, we examine an MSI in the apparel industry that aims to guide retailers and fashion brands in the implementation of recommerce and rental business models, thereby pushing the textile and apparel industry from linear to regenerative and circular use of textile resources. We identify several frames from the perspective of diverse stakeholders and uncover the four mechanisms that orchestrators use to influence frame shifts. We also see from our findings that orchestrators efforts to influence and navigate frame shifting is both emergent and planned as they attempt to navigate and manage the tensions and complexity that arise in multi-stakeholder initiatives focused on sustainability challenges.

Shifting cognitive frames through collective action to address grand challenges: A case study of a multi-stakeholder initiative in the apparel industry

Inter-organizational arrangements that aim to address social and environmental “grand challenges” often take the form of multi-stakeholder initiatives (MSIs) (also cross-sector partnerships or collaborations). Grand challenges -- problems characterized by knowledge uncertainty, dynamic complexity and value conflict -- require diverse organizations to join forces to resolve them. MSIs are complex and dynamic arrangements due to the constant change occurring in the external environment and in the dynamics of the collaboration, as each participating organization may have very different frames of reference and interests that impede action and continuity. Scholars have long recognized the tensions of conflicting logics that are inherent in MSIs and the challenges that MSIs face in reconciling incongruent organizational identities, goals or shared visions. Accordingly, MSIs need facilitators (i.e., ‘orchestrators’) to navigate the persistent and pervasive challenges of both reconciling conflicting logics and using complementary logics in such a way that the collaboration achieves collective goals. Our study examines how MSI orchestrators work to meet this challenge by shaping and shifting cognitive frames in the context of a mature organizational field. We investigate the mechanisms used to enable cognitive shifts in logic and highlight the role of orchestration in enacting frame shifts. Empirically, we examine an MSI in the apparel industry that aims to guide retailers and fashion brands in the implementation of recommerce and rental business models, thereby pushing the textile and apparel industry from linear to regenerative and circular use of textile resources. We identify several frames from the perspective of diverse stakeholders and uncover the four mechanisms that orchestrators use to influence frame shifts. We also see from our findings that orchestrators efforts to influence and navigate frame shifting is both emergent and planned as they attempt to navigate and manage the tensions and complexity that arise in multi-stakeholder initiatives focused on sustainability challenges.

Kwalificatiestructuur heeft kostenopdrijvend effect : kwantitatieve benadering kwalificaties

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Classification of condom lubricants in cyanoacrylate treated fingerprints by desorption electrospray ionization mass spectrometry

Traces of condom lubricants in fingerprints can be valuable information in cases of sexual assault. Ideally, not only confirmation of the presence of the condom but also determination of the type of condom brand used can be retrieved. Previous studies have shown to be able to retrieve information about the condom brand and type from fingerprints containing lubricants using various analytical techniques. However, in practice fingerprints often appear latent and need to be detected first, which is often achieved by cyanoacrylate fuming. In this study, we developed a desorption electrospray ionization mass spectrometry (DESI-MS) method which, combined with principal component analysis and linear discriminant analysis (PCA-LDA), allows for high accuracy classification of condom brands and types from fingerprints containing condom lubricant traces. The developed method is compatible with cyanoacrylate (CA) fuming. We collected and analyzed a representative dataset for the Netherlands comprising 32 different condoms. Distinctive lubricant components such as polyethylene glycol (PEG), polydimethylsiloxane (PDMS), octoxynol-9 and nonoxynol-9 were readily detected using the DESI-MS method. Based on the analysis of lubricant spots, a 99.0% classification accuracy was achieved. When analyzing lubricant containing fingerprints, an overall accuracy of 90.9% was obtained. Full chemical images could be generated from fingerprints, showing the distribution of lubricant components such as PEG and PDMS throughout the fingerprint, while still allowing for classification. The developed method shows potential for the development of DESI-MS based analyses of CA treated exogenous compounds from fingerprints for use in forensic science.