62,970 research outputs found

    Are Business Incubators helping? The role of BIs in facilitating tenants’ development

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    Business incubators (BI) are among a variety of initiatives to stimulate economic growth by promoting the creation and development of new companies. The rapid growth of BIs in recent years confirms their importance in the economic fabric. In this study, we conceptualize BIs using insights from knowledge based theory of the firm, resource-based view thinking and capabilities literature. BIs will be seen as service providers geared towards helping their tenants in solving developmental problems. The more problems the BI helps to solve the bigger the incubation value for tenants; further, as tenant firms solve problems they develop important capabilities which will yield increase their chances of survival once they graduate. Results show that tenants unequivocally seek support after experiencing problems. Solving those problems is a function of BI support and other external sources part of each tenant firm’s network of contacts. Age and human capital of tenant firms have a negative impact in the total number of the problems solved, suggesting BIs’ deficiencies in helping more experienced and older tenants. Our main contribution is to shed light on the processes of delivering support to young firms within BIs. Importantly, we assess the value of the BIs’ intervention by measuring the amount of developmental problems they help tenants to overcome. Finally, we discuss the implication of our finding to BI managers, prospective tenants and policy makers

    Postal survey of contacts between cattle farms on the Isle of Lewis

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    The British Cattle Movement Service (BCMS) database contains an unprecedented quantity of data on the movement of cattle within the UK. These data may be used to construct models of the contact structure of the UK cattle herd, for epidemiological purposes. There are two significant potential sources of inaccuracy within such models: movements that are not reported or are reported inaccurately to the BCMS, and contacts between farms that might transmit infection, but are not animal movements. This field study addressed these issues. Cattle farmers on the Isle of Lewis were recruited with the assistance of the local veterinary surgeon, and asked to record a range of potential risk behaviours for a one-month period. They were also asked questions about husbandry practices on their farm. Comparison of the BCMS contact data with that reported by Lewis' farmers highlighted use of common grazing land as a significant source of contact, and potential disease transmission, between cattle that currently goes unreported; around half of responding holdings on Lewis use common grazing land at some point during the year, and these movements are not reported to the BCMS

    The Role of Gender in Social Network Organization

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    The digital traces we leave behind when engaging with the modern world offer an interesting lens through which we study behavioral patterns as expression of gender. Although gender differentiation has been observed in a number of settings, the majority of studies focus on a single data stream in isolation. Here we use a dataset of high resolution data collected using mobile phones, as well as detailed questionnaires, to study gender differences in a large cohort. We consider mobility behavior and individual personality traits among a group of more than 800800 university students. We also investigate interactions among them expressed via person-to-person contacts, interactions on online social networks, and telecommunication. Thus, we are able to study the differences between male and female behavior captured through a multitude of channels for a single cohort. We find that while the two genders are similar in a number of aspects, there are robust deviations that include multiple facets of social interactions, suggesting the existence of inherent behavioral differences. Finally, we quantify how aspects of an individual's characteristics and social behavior reveals their gender by posing it as a classification problem. We ask: How well can we distinguish between male and female study participants based on behavior alone? Which behavioral features are most predictive

    Key worker services for disabled children: what characteristics of services lead to better outcomes for children and families?

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    Background: Research has shown that families of disabled children who have a key worker benefit from this service and recent policy initiatives emphasize the importance of such services. However, research is lacking on which characteristics of key worker schemes for disabled children are related to better outcomes for families. Methods: A postal questionnaire was completed by 189 parents with disabled children who were receiving a service in seven key worker schemes in England and Wales. Path analysis was used to investigate associations between characteristics of the services and outcomes for families (satisfaction with the service, impact of key worker on quality of life, parent unmet need, child unmet need). Results: The four path models showed that key workers carrying out more aspects of the key worker role, appropriate amounts of contact with key workers, regular training, supervision and peer support for key workers, and having a dedicated service manager and a clear job description for key workers were associated with better outcomes for families. Characteristics of services had only a small impact on child unmet need, suggesting that other aspects of services were affecting child unmet need. Conclusions: Implications for policy and practice are discussed, including the need for regular training, supervision and peer support for key workers and negotiated time and resources for them to carry out the role. These influence the extent to which key workers carry out all aspects of the key worker's role and their amount of contact with families, which in turn impact on outcomes

    Gender homophily from spatial behavior in a primary school: a sociometric study

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    We investigate gender homophily in the spatial proximity of children (6 to 12 years old) in a French primary school, using time-resolved data on face-to-face proximity recorded by means of wearable sensors. For strong ties, i.e., for pairs of children who interact more than a defined threshold, we find statistical evidence of gender preference that increases with grade. For weak ties, conversely, gender homophily is negatively correlated with grade for girls, and positively correlated with grade for boys. This different evolution with grade of weak and strong ties exposes a contrasted picture of gender homophily

    Business Networks and Performance: A Spatial Approach

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    Business networks are associated to increased business performance and are regarded as a major factor influencing the development of rural and lagging areas. It is assumed that businesses access many networks in order to pursue their short and long term entrepreneurial objectives. The most important spatial features of this business-network relationship are firstly the spatial coverage of the network and secondly the location of the business in relation to its markets. As concerns the spatial coverage of the networks we distinguish between vertical and horizontal business networks. Vertical networks allow local enterprises to forge alliances with externally located consumers, suppliers, distributors, retailers and institutions, while horizontal networks provide relationships with locally based producers, institutions, and consumers. As concerns the location of the business in relation to its markets we distinguish between firms located in accessible locations and firms located in less accessible and peripheral locations in relation to their output markets. A survey of 160 businesses in the manufacturing and services sectors in two areas of Greece (one remote and one more accessible) is used to test empirically the effects of the spatial features of the business-network relationship on firm performance. Business performance is approximated through a series of measures capturing conventional firm growth and other less conventional managerial objectives. The analysis demonstrates that a significantly high proportion of successful businesses located in the remote area simultaneously access vertical and horizontal networks while in the less remote area successful businesses access mainly vertical networks. It is argued that policy initiatives towards the support of business networks as a tool of regional development policies should have a strong territorial and spatial perspective.

    Contact patterns in a high school: a comparison between data collected using wearable sensors, contact diaries and friendship surveys

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    Given their importance in shaping social networks and determining how information or diseases propagate in a population, human interactions are the subject of many data collection efforts. To this aim, different methods are commonly used, from diaries and surveys to wearable sensors. These methods show advantages and limitations but are rarely compared in a given setting. As surveys targeting friendship relations might suffer less from memory biases than contact diaries, it is also interesting to explore how daily contact patterns compare with friendship relations and with online social links. Here we make progresses in these directions by leveraging data from a French high school: face-to-face contacts measured by two concurrent methods, sensors and diaries; self-reported friendship surveys; Facebook links. We compare the data sets and find that most short contacts are not reported in diaries while long contacts have larger reporting probability, with a general tendency to overestimate durations. Measured contacts corresponding to reported friendship can have durations of any length but all long contacts correspond to reported friendships. Online links not associated to reported friendships correspond to short face-to-face contacts, highlighting the different nature of reported friendships and online links. Diaries and surveys suffer from a low sampling rate, showing the higher acceptability of sensor-based platform. Despite the biases, we found that the overall structure of the contact network, i.e., the mixing patterns between classes, is correctly captured by both self-reported contacts and friendships networks. Overall, diaries and surveys tend to yield a correct picture of the structural organization of the contact network, albeit with much less links, and give access to a sort of backbone of the contact network corresponding to the strongest links in terms of cumulative durations

    On the Predictability of Talk Attendance at Academic Conferences

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    This paper focuses on the prediction of real-world talk attendances at academic conferences with respect to different influence factors. We study the predictability of talk attendances using real-world tracked face-to-face contacts. Furthermore, we investigate and discuss the predictive power of user interests extracted from the users' previous publications. We apply Hybrid Rooted PageRank, a state-of-the-art unsupervised machine learning method that combines information from different sources. Using this method, we analyze and discuss the predictive power of contact and interest networks separately and in combination. We find that contact and similarity networks achieve comparable results, and that combinations of different networks can only to a limited extend help to improve the prediction quality. For our experiments, we analyze the predictability of talk attendance at the ACM Conference on Hypertext and Hypermedia 2011 collected using the conference management system Conferator
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