The goal of this study is to identify the perspectives that development NGOs attribute to organisational social media, and furthermore elaborate on an appropriate categorisation of these perspectives for social media use by development NGOs. How social media is used in the area of development, where the use goes far beyond the private sector purpose of publicity and converting a sale, is a key issue for NGOs. Fourteen development NGOs from the Netherlands that are actively using social media were selected for this study. Interviews were conducted to collect data from the decision makers and practitioners in these organisations. The grounded theory method combined with a multiple case study was applied for data analysis. The resulting preliminary framework presents us with four emerging perspectives, namely Technological, Individual, Collective and Contextual perspectives attributed to organisational social media use. We theorise that there are relationships between these four perspectives. This paper suggests that the understanding of (organisational) social media use among development NGOs can be better understood by identifying these perspectives and their inter-relationships. The implications of these findings for the literature on affordances and organisational social media use in the context of development and NGOs are discussed. Recommended Citation Sheombar, Anand; Urquhart, Cathy; Kayas, Oliver; and Ndhlovu, Tidings, "Social Media and Development: Understanding NGO practices and perceptions" (2018). GlobDev 2018. 3. https://aisel.aisnet.org/globdev2018/3
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This paper presents an exploration into how Northern-based development NGOs might change into digital social entrepreneurs while using the Internet or social media for their ICT for Development (ICT4D) related projects. The research explores the role of the Internet and social media in Northern-based development NGOs transitioning toward digital social entrepreneurship. This digital transformation observation is based on the findings of a grounded theory analysis of interviews, social media communications and reports of Dutch development NGOs. We observed a trend of service delivery by development NGOs -some young and small NGOs- transitioning to digital social enter-prises, being less dependent on government funding. The implications are that Northern-based development NGOs could be competing with local Southern NGOs or other local actors working on development. Furthermore, we suggest more research on the organisa-tional transformations ICT induces in the field of development activities.
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We examine the demise of a multi-stakeholder network that was launched to promote an inclusive dairy market in Ethiopia to better understand why nongovernmental organizations (NGOs) may develop interventions in contexts of poverty that fail to endure after they exit. We identify organizational reflexivity – the capacity to recognize and understand the recursive interplay between an intervention and the local environment – as a key explanatory mechanism for this intervention outcome. Limited reflexivity not only prevented the NGO we studied from properly aligning the intervention with the context (design failures), but also prevented the organization from adjusting its intervention when negative feedback emerged (orchestration failures), which eventually evolved into the demise of the network (maintenance failure). While our study confirms the theoretical premise that NGOs need to contextualize their interventions, we expand current knowledge by highlighting the role of organizational reflexivity in this process. Moreover, by showing how reflexivity deficits can trigger a cascade of failure, especially when intervening in voids where incumbent firms have interests in maintaining the void, our study calls attention to the politicized nature of institutional voids.
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De alliantie tussen professionals en cliënten in de jeugdzorg is een krachtige algemeen werkzame factor in de hulp aan kinderen en ouders met opvoedproblemen. De alliantie tussen professionals en cliënten bestaat uit de persoonlijke klik, overeenstemming over de doelen waaraan gewerkt wordt en de wijze waarop er samengewerkt wordt aan die doelen. Een positieve alliantie in een vroeg stadium van het hulpverleningstraject is een betrouwbare voorspeller van een positieve uitkomst. Het vroegtijdig zicht krijgen op de kwaliteit van de alliantie geeft de mogelijkheid om breuken en deuken in beeld te brengen en vroegtijdig bespreekbaar te maken en te herstellen. Het ritueel om de alliantie bespreekbaar te maken wordt in de praktijk nog weinig gestalte gegeven. Het vergt van professionals een scherp observatievermogen, goede reflectievaardigheden en de nodige creativiteit om het ritueel in het primair proces te passen. Met de te ontwikkelen experimentele leerlijn waar deze aanvraag op ingaat willen werkveldpartners inzetten op het aanleren van deze vaardigheden.
The increasing amount of electronic waste (e-waste) urgently requires the use of innovative solutions within the circular economy models in this industry. Sorting of e-waste in a proper manner are essential for the recovery of valuable materials and minimizing environmental problems. The conventional e-waste sorting models are time-consuming processes, which involve laborious manual classification of complex and diverse electronic components. Moreover, the sector is lacking in skilled labor, thus making automation in sorting procedures is an urgent necessity. The project “AdapSort: Adaptive AI for Sorting E-Waste” aims to develop an adaptable AI-based system for optimal and efficient e-waste sorting. The project combines deep learning object detection algorithms with open-world vision-language models to enable adaptive AI models that incorporate operator feedback as part of a continuous learning process. The project initiates with problem analysis, including use case definition, requirement specification, and collection of labeled image data. AI models will be trained and deployed on edge devices for real-time sorting and scalability. Then, the feasibility of developing adaptive AI models that capture the state-of-the-art open-world vision-language models will be investigated. The human-in-the-loop learning is an important feature of this phase, wherein the user is enabled to provide ongoing feedback about how to refine the model further. An interface will be constructed to enable human intervention to facilitate real-time improvement of classification accuracy and sorting of different items. Finally, the project will deliver a proof of concept for the AI-based sorter, validated through selected use cases in collaboration with industrial partners. By integrating AI with human feedback, this project aims to facilitate e-waste management and serve as a foundation for larger projects.
Data is het nieuwe goud, en de vraag naar data is nooit zo groot geweest. Zo ook data over de mens en zijn leefomgeving. Maar om voor elke vraag een specifieke sensor te maken is kostbaar. Er moet één sensor komen die al die situaties nauwkeurig kan meten.