This study focuses on SME networks of design and high-tech companies in Southeast Netherland. By highlighting the personal networks of members across design and high-tech industries, the study attempts to identify the main brokers in this dynamic environment. In addition, we investigate whether specific characteristics are associated with these brokers. The main contribution of the paper lies in the fact that, in contrast to most other work, it is quantitative and that it focuses on brokers identified in an actual network (based on both suppliers and users of the knowledge infrastructure). Studying the phenomenon of brokerage provides us with clear insights into the concept of brokerage regarding SME networks in different fields. In particular we highlight how third parties contribute to the transfer and development of knowledge. Empirical results show, among others that the most influential brokers are found in the nonprofit and science sector and have a long track record in their branch.
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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 Each analysis involved investigator interview and access to unpublished law enforcement files.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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Given the substantial increase in children attending center-based childcare over the past decades, the consequences of center-based childcare for children’s development have gained more attention in developmental research. However, the relation between center-based childcare and children’s neurocognitive development remains relatively underexplored. The aim of this study was therefore to examine the relations between quantity of center-based childcare during infancy and the neurocognitive development (both functional brain networks and self-regulation) of 584 Dutch children. Small-world brain networks and children’s self-regulation were assessed during infancy (around 10 months of age) and the preschool period (2–6 years of age). The findings revealed that the quantity of center-based childcare during infancy was unrelated to individual differences in children’s functional brain networks. However, spending more hours per week in center-based childcare was positively related to the development of self-regulation in preschool age children, regardless of children’s sex or the levels of exposure to risk and maternal support in the home environment. More insight into the positive effects of center-based childcare on children’s development from infancy to toddlerhood can help to increase our insight into a better work–life balance and labor force participation of parents with young children. Moreover, this study highlights that Dutch center-based childcare offers opportunities to invest in positive child outcomes in children, including self-regulation.
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Presentation by Rutger Leukfeldt on Financially motivated cybercriminal networks, during workshop on Cybercrime Offenders. Cybercrime perpetrators are as diverse and complex as the cybercrime that they commit. For example, they come from different backgrounds and have different (egotistical, technical, monetary, ideological, political, professional, vengeful, sexual or other) motivations. They may or may not be professional criminals, and individuals or part of organised groups or networks (example of Advanced Persistent Threats). Some may commit crime on their own account or make their services available to others, and some may be supported by or be state actors. A better understanding of the types of perpetrators and their motivations and techniques can be instrumental for the prevention of cybercrime and for a more effective criminal justice response. The aim of this workshop is to contribute to such a better understanding and to initiate steps towards a typology of offenders.
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The energy management systems industry in the built environment is currently an important topic. Buildings use about 40% of the total global energy worldwide. Therefore, the energy management system’s sector is one of the most influential sectors to realize changes and transformation of energy use. New data science technologies used in building energy management systems might not only bring many technical challenges, but also they raise significant educational challenges for professionals who work in the field of energy management systems. Learning and educational issues are mainly due to the transformation of professional practices and networks, emerging technologies, and a big shift in how people work, communicate, and share their knowledge across the professional and academic sectors. In this study, we have investigated three different companies active in the building services sector to identify the main motivation and barriers to knowledge adoption, transfer, and exchange between different professionals in the energy management sector and explore the technologies that have been used in this field using the boundary-crossing framework. The results of our study show the importance of understanding professional learning networks in the building services sector. Additionally, the role of learning culture, incentive structure, and technologies behind the educational system of each organization are explained. Boundary-crossing helps to analyze the barriers and challenges in the educational setting and how new educational technologies can be embedded. Based on our results, future studies with a bigger sample and deeper analysis of technologies are needed to have a better understanding of current educational problems.
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This introduction to the special issue on events as platforms, networks, and communities reviews recent research on these subjects. It outlines the previous work of the ATLAS Events Group in developing a “network approach to events,” as well as conceptualizing the differences between event networks and platforms.
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Consumers expect product availability as well as product quality and safety in retail outlets. When designing or re-designing fruit and vegetables supply chain networks one has to take these demands into consideration next to traditional efficiency and responsiveness requirements. In food science literature, much attention has been paid to the development of Time-Temperature Indicators to monitor individually the temperature conditions of food products throughout distribution as well as quality decay models that are able to predict product quality based upon this information. This chapter discusses opportunities to improve the design and management of fruit and vegetables supply chain networks. If product quality in each step of the supply chain can be predicted in advance, good flows can be controlled in a pro-active manner and better chain designs can be established resulting in higher product availability, higher product quality, and less product losses in retail. This chapter works towards a preliminary diagnostic instrument, which can be used to assess supply chain networks on QCL (Quality Controlled Logistics). Findings of two exploratory case studies, one on the tomato chain and one on the mango chain, are presented to illustrate the value of this concept. Results show the opportunities and bottlenecks for quality controlled logistics depend on product—(e.g. variability in quality), process—(e.g. ability to use containers and sort on quality), network- (e.g. current level of cooperation), and market characteristics (e.g. higher prices for better products).
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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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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.
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