Supplier search in industrial clusters: Sheffield metal working in the 1990s

Industrial clusters can be characterised by high levels of personal interaction between the owners/managers of firms. It has been argued that within industrial clusters community and firm tend to merge. One result of the notion of a cluster as a community is that it might be expected that personal interaction between members of the community will have an important influence on intra-cluster trading patterns. Whereas there appears to be a number of anecdotal stories of the impact of the 'personal' upon the 'economic' within clusters we do not know whether such relationships are uniquely part of cluster behaviour or whether they are found more widely within the industrial system. The paper reports the result of a new interview survey of seventy small metal working firms in the Sheffield metal working cluster in the UK. Although dealing with a traditional industrial sector the analysis is focused upon contemporary business patterns. It explores the ways in which owner/managers of small metal working firms search for new suppliers. In the empirical analysis the search process is conceptualised as being characterised by two stages: the identification of potential new suppliers and the selection of a specific new supplier. The research is in undertaken in two parts. It first measures the role of the personal networks of the owner/managers of small firms in the identification and selection of suppliers. Second, the research examines whether personal factors are more important in the identification and selection of within cluster suppliers than in the identification and selection of suppliers based outside the cluster. It is shown that, overall, personal networks are of major significance in the identification of suppliers and that information received from third parties are more important than direct contacts between the owner/manager and the potential supplier. However, in the selection decision, price and availability are dominant considerations and personal factors such as trust and reputation of only minor significance. It was not possible to identify a cluster effect in disaggregation of the data to separate out the relationships with cluster suppliers and relationships with suppliers based outside the cluster. There was no evidence that personal factors play a more important role in the establishment of within cluster links. In sum, personal networks are important in the identification of within cluster links but they are equally important in the establishment of links outside the cluster. This suggests that the importance of personal interaction within clusters has been overplayed.

Nurse Perceptions of Interactivity during Their Onboarding Orientation: Effect of an Audience Response System

Nurse educators must use effective teaching-learning tools to orient nurses hired into healthcare organizations. There is a vast amount of literature related to teaching-learning strategies such as audience response systems (ARS) in academia, but little research on ARS use in nursing classes outside of academia. The purpose of this research was to determine nurse perceptions of interactivity during lecture utilizing ARS versus lecture without ARS in an initial onboarding nursing orientation, using constructivism as the theoretical framework. A convenience sample of nurses attending an initial onboarding nursing orientation evaluated a PowerPoint based lecture using an interactivity instrument that included four 9-point Likert subscales: Individual Degree of Interactivity, Overall Degree of Interactivity, Perceived Usefulness, and Perceived Ease of Use. Thirty-four nurses evaluated their perception of interactivity of lecture without ARS, and 41 nurses evaluated their perception of interactivity of an identical lecture with ARS, and Perceived Usefulness (M=8.69, SD=0.05) and Perceived Ease of Use (M=8.89, SD=0.04) of ARS. Independent samples t-tests suggested significant differences between Individual Degree of Interactivity for lecture without ARS (M=7.33, SD=0.32) and lecture with ARS (M=7.94, SD=0.39); t (18) = -3.83, p = .001; and between Overall Degree of Interactivity for lecture without ARS (M=7.64, SD=0.22) and lecture with ARS (M=7.99, SD=0.16); t (18) = -4.014, p = .001. Findings from this research suggested ARS use during a PowerPoint presentation in an onboarding nursing orientation significantly increased both individual and overall interactivity in the classroom, and ARS was easy to use and useful in this setting

Effects of Altering Freshwater Chemistry on Physiological Responses of Rainbow Trout to Silver Exposure

The influence of different water Cl- (50–600 μM), Ca2+ (50–1,500 μM), Na+ (50–1,500 μM), or dissolved organic carbon (DOC, 0.31–5 mg/L) levels on silver-induced physiological and biochemical perturbations of rainbow trout were investigated. Fish were acclimated to soft water (50 μM; Cl-, Ca2+, and Na+), then exposed to 3.7 μg/L Ag (as AgNO3) for 6 h, which resulted in a reduction in Na+ influx from the water, an inhibition of gill sodium- and potassium-activated adenosine triphosphatase (Na+/K+-ATPase) activity, and an accumulation of silver on the gills. Increasing the water Cl- or DOC levels ameliorated the silver toxicity. However, increasing water Ca2+ or Na+ concentration did not reduce the silver-induced physiological and biochemical perturbations. The free silver ion (Ag+) concentrations (calculated from MINEQL+, a geochemical speciation computer program) showed a negative correlation with the Na+ influx rates and gill Na+/K+-ATPase activity. However, gill silver levels did not correlate to Ag+ concentrations and no correlation was found between gill silver levels and either Na+ influx rates or gill Na+/K+-ATPase activity. These results support the notion that the [Ag+] concentration is of major importance when assessing silver toxicity in fish, and that this should be taken into account in regulatory strategies for silver in the natural environment

Supplier search in industrial clusters: Sheffield metal working in the 1990s

Industrial clusters can be characterised by high levels of personal interaction between the owners/managers of firms. It has been argued that within industrial clusters community and firm tend to merge. One result of the notion of a cluster as a community is that it might be expected that personal interaction between members of the community will have an important influence on intra-cluster trading patterns. Whereas there appears to be a number of anecdotal stories of the impact of the 'personal' upon the 'economic' within clusters we do not know whether such relationships are uniquely part of cluster behaviour or whether they are found more widely within the industrial system. The paper reports the result of a new interview survey of seventy small metal working firms in the Sheffield metal working cluster in the UK. Although dealing with a traditional industrial sector the analysis is focused upon contemporary business patterns. It explores the ways in which owner/managers of small metal working firms search for new suppliers. In the empirical analysis the search process is conceptualised as being characterised by two stages: the identification of potential new suppliers and the selection of a specific new supplier. The research is in undertaken in two parts. It first measures the role of the personal networks of the owner/managers of small firms in the identification and selection of suppliers. Second, the research examines whether personal factors are more important in the identification and selection of within cluster suppliers than in the identification and selection of suppliers based outside the cluster. It is shown that, overall, personal networks are of major significance in the identification of suppliers and that information received from third parties are more important than direct contacts between the owner/manager and the potential supplier. However, in the selection decision, price and availability are dominant considerations and personal factors such as trust and reputation of only minor significance. It was not possible to identify a cluster effect in disaggregation of the data to separate out the relationships with cluster suppliers and relationships with suppliers based outside the cluster. There was no evidence that personal factors play a more important role in the establishment of within cluster links. In sum, personal networks are important in the identification of within cluster links but they are equally important in the establishment of links outside the cluster. This suggests that the importance of personal interaction within clusters has been overplayed

Analysis of population fluctuations in Westmoreland, Louisville, and Wamego, Kansas

Call number: LD2668 .T4 1967 W631Master of Scienc

Random-subset fitting of digital holograms for fast three-dimensional particle tracking

Fitting scattering solutions to time series of digital holograms is a precise way to measure three-dimensional dynamics of microscale objects such as colloidal particles. However, this inverse-problem approach is computationally expensive. We show that the computational time can be reduced by an order of magnitude or more by fitting to a random subset of the pixels in a hologram. We demonstrate our algorithm on experimentally measured holograms of micrometer-scale colloidal particles, and we show that 20-fold increases in speed, relative to fitting full frames, can be attained while introducing errors in the particle positions of 10 nm or less. The method is straightforward to implement and works for any scattering model. It also enables a parallelization strategy wherein random-subset fitting is used to quickly determine initial guesses that are subsequently used to fit full frames in parallel. This approach may prove particularly useful for studying rare events, such as nucleation, that can only be captured with high frame rates over long times.Engineering and Applied SciencesPhysic