A stream of literature is emerging where network development and business modeling intersect. Various authors emphasize that networks influence business models. This paper extends this stream of literature by studying two cases in which we analyze how business modeling and networking interact over time. We propose the concept ‘value shaping’ to describe this interaction. Value shaping refers to the mutually constitutive process in which on the one hand networking helps to refine and improve the overall business model and on the other hand an improved business model spurs expansion of the network. We identify five micro-level processes through which value shaping occurs. Value shaping is particularly relevant for sustainability-oriented innovations, to help clarify all the types of financial, social and environmental value to which a business model may contribute.
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In most models on terrorism, interaction with other radicals is a key factor. However, systematic empirical evidence that radical ties affect behaviour is scarce. Our access to detailed police information allows us to apply Social Network Analysis (SNA) on a Dutch Salafi-Jihadi network and analyse the social relationships and network positions of 80 actors, out of whom 20 turned to terrorist acts. The results suggest that ties to leaders and terrorist offenders, co-attendance of radicalising settings and greater structural embeddedness relate to the likelihood of individual actors turning to acts of terrorism. However, we also find some individual attributes that may offer competing explanations. In this paper we discuss our findings and address how future research may provide further insights into an important issue for agencies involved in countering terrorism: which radical actors, if any, are more likely to turn to acts of terrorism?
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Abstract Healthcare organizations operate within a network of governments, insurers, inspection services and other healthcare organizations to provide clients with the best possible care. The parties involved must collaborate and are accountable to each other for the care provided. This has led to a diversity of administrative processes that are supported by a multi-system landscape, resulting in administrative burdens among healthcare professionals. Management methods, such as Enterprise Architecture (EA), should help to develop and manage such landscapes, but they are systematic, while the network of healthcare parties is dynamic. The aim of this research is therefore to develop an EA framework that fits the dynamics of network organizations (such as long-term healthcare). This research proposal outlines the practical and scientific relevance of this research and the proposed method. The current status and next steps are also described.
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Onderzoeksplatform ‘Connected Learning: ’Al ruim vijftien jaar houdt De Haagse Hogeschool zich bezig met onderzoek als deel van haar missie. Terwijl onderwijs vaak geworteld is in monodisciplinaire vakgebieden, kan met onderzoek wat makkelijker gekeken worden naar domeinen in de samenleving (zorg, veiligheid, ondernemen, etc.) waarin complexe problematiek steeds vaker wél dan niet een multidisciplinaire aanpak vereist. Bijna niemand werkt nog alleen of met alleen vakgenoten aan problemen of uitdagingen. En die veranderende beroepspraktijk is bij uitstek het domein van het hoger beroepsonderwijs. Daar leiden we voor op. Het onderzoeken van en experimenteren met nieuwe uitdagingen in de praktijk verbindt ons sterker met de samenleving, het stelt ons in staat om ons beroepsonderwijs te vernieuwen en geeft docenten, onderzoekers en studenten de kans om zich te ontwikkelen door samen te werken aan vragen en uitdagingen die de toekomst van de beroepspraktijk vorm geven. Veel onderzoek wordt uitgevoerd onder begeleiding van lectoren die samenwerken met docent-onderzoekers, studenten, en professionals in het werkveld aan veelal meerjarige onderzoeksagenda’s die lijn aanbrengen in verschillende deelactiviteiten. Een van de manieren waarop De Haagse Hogeschool onderzoek organiseert is in de vorm van onderzoeksplatforms die zich richten op verschillende domeinen van de samenleving. Wij zijn ‘Connected Learning’, een onderzoeksplatform dat zich richt op leren in de netwerksamenleving - in de samenleving zelf, maar ook in de beroepspraktijk en in ons onderwijs. Aangenaam. Wat wij doen? Daar gaat dit boek over, dus daar verklappen we hier nog niets over. Wat verwacht u als u nadenkt over onze naam? Enig idee? Geen idee? Benieuwd? Lees verder om te ontdekken wat ons inspireert, uitdaagt en nieuwsgierig maakt. Sommige van onze ideeën zijn doordacht en doorleefd omdat we er al jaren onderzoek naar doen, andere zijn nieuw en dagen ons uit om er grip op te krijgen. Wij geven met dit boek een beeld van waar we staan in 2018. Zie het als een eerste kennismaking, met de nadruk op ‘eerste’: we werken graag met veel en verschillende partners. Zie het als visitekaartje van onze onderzoeksagenda. We hopen van harte dat u zich als lezer uitgenodigd voelt om met ons samen op zoek te gaan—misschien wel naar een gezamenlijke toekomst. ‘Connected Learning’ Research Platform: For over fifteen years, The Hague University of Applied Sciences has been carrying out research as part of its mission. While education is often rooted in monodisciplinary subject areas, research allows for a broader look at areas of society (care, security, entrepreneurship etc.), where complex problems more often than not require a multidisciplinary approach. Today, barely anyone works on problems or challenges alone or solely with colleagues from within the same subject area. Universities of applied sciences are uniquely placed to deal with these changes in professional practices; after all, we train the professionals who will one day enter that field. Researching and experimenting with new challenges in professional practice allows us to connect more strongly with society, enables us to be innovative in our professional training and gives lecturers, researchers and students the opportunity to develop themselves by cooperating on the challenges and issues that will shape the future of that professional practice. Most research is carried out under the guidance of professors who cooperate with lecturers/researchers, students and the professional field, mainly on long-term research agendas that provide an outline for various sub-activities. One of the ways in which research is organised at The Hague University of Applied Sciences is in the form of research platforms that focus on various areas of society. We are ‘Connected Learning’, a research platform focusing on learning in the network society — in that society as such, but also in professional practice and our education. Nice to meet you! So, what do we do? That’s what this book is about, so we’re not going to give anything away just yet. Just thinking about our name, what do you expect we do? Any ideas? Or not a clue at all? If you’d like to find out, keep reading to find out what inspires us, what challenges we face and what drives our curiosity. Some of our ideas are well-established because we’ve been researching them for years, while other, newer ideas are more challenging to grasp. This book provides an overview of where we stand in 2018. You could see it as an initial introduction, with the emphasis on “initial”; we work with many different partners, and we enjoy doing so. Alternatively, you could see it as a calling card for our research agenda. We sincerely hope that, as a reader, you feel encouraged to join us in our quest — possibly towards a joint future.
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Abstract: The typical structure of the healthcare sector involves (specialist) intertwined practices co-occurring in formal or informal networks. These practices must answer to the concerns and needs of all related stakeholders. Multimorbidity and the need to share knowledge for scientific development are among the driving factors for collaboration in healthcare. To establish and keep up a permanent collaborative link, it takes effort and understanding of the network characteristics that must be governed. It is not hard to find practices of Network Governance (NG) in a variety of industries. Still, there is a lack of insight in this subject, including knowledge on how to establish and maintain an effective healthcare network. Consequently, this study's research question is: How is network governance organized in the healthcare sector? A systematic literature study was performed to select 80 NG articles. Based on these publications the characteristics of NG are made explicit. The findings demonstrate that combinations of governance style (relational versus contractual governance) and governance structure (lead versus shared governance) lead to different network dynamics. Furthermore, the results show that in order to comprehend how networks in the healthcare sector emerge and can be regulated, it is vital to understand the current network type. Additionally, it informs us of the governing factors. Zie https://www.hbo-kennisbank.nl/details/sharekit_han:oai:surfsharekit.nl:e4f8fa3a-4af8-42ef-b2dd-c86d77b4cec6
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From the article: Abstract: An overview of neural network architectures is presented. Some of these architectures have been created in recent years, whereas others originate from many decades ago. Apart from providing a practical tool for comparing deep learning models, the Neural Network Zoo also uncovers a taxonomy of network architectures, their chronology, and traces back lineages and inspirations for these neural information processing systems.
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OBJECTIVE: This work aims to gain insight into the long-term impact of depression course on social network size and perceived loneliness in older people living in the community. METHODS: Within a large representative sample of older people in the community (Longitudinal Aging Study Amsterdam (LASA)), participants with clinically relevant levels of depressive symptoms (scores >16 on the Center for Epidemiological Studies Depression Scale) were followed up over a period of 13 years of the LASA study (five waves). General estimating equations were used to estimate the impact of depression course on network size and loneliness and the interaction with gender and age. RESULTS: An unfavorable course of depression was found to be associated with smaller network sizes and higher levels of loneliness over time, especially in men and older participants. CONCLUSIONS: The findings of this study stress the importance of clinical attention to the negative consequences of chronicity in depressed older people. Clinicians should assess possible erosion of the social network over time and be aware of increased feelings of loneliness in this patient group.
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Objectives Most complex healthcare interventions target a network of healthcare professionals. Social network analysis (SNA) is a powerful technique to study how social relationships within a network are established and evolve. We identified in which phases of complex healthcare intervention research SNA is used and the value of SNA for developing and evaluating complex healthcare interventions. Methods A scoping review was conducted using the Arksey and O’Malley methodological framework. We included complex healthcare intervention studies using SNA to identify the study characteristics,level of complexity of the healthcare interventions, reported strengths and limitations, and reported implications of SNA. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews 2018 was used to guide the reporting. Results Among 2466 identified studies, 40 studies were selected for analysis. At first, the results showed that SNA seems underused in evaluating complex intervention research. Second, SNA was not used in the development phase of the included studies. Third, the reported implications in the evaluation and implementation phase reflect the value of SNA in addressing the implementation and population complexity. Fourth, pathway complexity and contextual complexity of the included interventions were unclear or unable to access. Fifth, the use of a mixed methods approach was reported as a strength, as the combination and integration of a quantitative and qualitative method clearly establishes the results. Conclusion SNA is a widely applicable method that can be used in different phases of complex intervention research. SNA can be of value to disentangle and address the level of complexity of complex healthcare interventions. Furthermore, the routine use of SNA within a mixed method approach could yield actionable insights that would be useful in the transactional context of complex interventions.
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This paper analyzes connectivity and efficiency of a SME network across two industries. These characteristics are likely to be different for networks of various industries. The concept of 'small worlds' is used to judge overall network efficiency. The actual network can be classified as one in which a small world is present. Visualization of the results shows a single core group in the network. It was found that non-profit as well as science actors were overrepresented in the core of the field.
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This article examines the network structure, criminal cooperation, and external interactions of cybercriminal networks. Its contribution is empirical and inductive. The core of this study involved carrying out 10 case analyses on closed cybercrime investigations – all with financial motivations on the part of the offenders - in the UK and beyond. Each analysis involved investigator interview and access to unpublished law enforcement files. The comparison of these cases resulted in a wide range of findings on these cybercriminal networks, including: a common division between the scam/attack components and the money components; the presence of offline/local elements; a broad, and sometimes blurred, spectrum of cybercriminal behaviour and organisation. An overarching theme across the cases that we observe is that cybercriminal business models are relatively stable.
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