Firms’ knowledge search and local knowledge externalities in innovation performance

We use an augmented version of the UK Innovation Surveys 4–7 to explore firm-level and local area openness externalities on firms’ innovation performance. We find strong evidence of the value of external knowledge acquisition both through interactive collaboration and non-interactive contacts such as demonstration effects, copying or reverse engineering. Levels of knowledge search activity remain well below the private optimum, however, due perhaps to informational market failures. We also find strong positive externalities of openness resulting from the intensity of local interactive knowledge search—a knowledge diffusion effect. However, there are strong negative externalities resulting from the intensity of local non-interactive knowledge search—a competition effect. Our results provide support for local initiatives to support innovation partnering and counter illegal copying or counterfeiting. We find no significant relationship between either local labour quality or employment composition and innovative outputs.

Web based expert elicitation of uncertainties in environmental model inputs

When constructing and using environmental models, it is typical that many of the inputs to the models will not be known perfectly. In some cases, it will be possible to make observations, or occasionally physics-based uncertainty propagation, to ascertain the uncertainty on these inputs. However, such observations are often either not available or even possible, and another approach to characterising the uncertainty on the inputs must be sought. Even when observations are available, if the analysis is being carried out within a Bayesian framework then prior distributions will have to be specified. One option for gathering or at least estimating this information is to employ expert elicitation. Expert elicitation is well studied within statistics and psychology and involves the assessment of the beliefs of a group of experts about an uncertain quantity, (for example an input / parameter within a model), typically in terms of obtaining a probability distribution. One of the challenges in expert elicitation is to minimise the biases that might enter into the judgements made by the individual experts, and then to come to a consensus decision within the group of experts. Effort is made in the elicitation exercise to prevent biases clouding the judgements through well-devised questioning schemes. It is also important that, when reaching a consensus, the experts are exposed to the knowledge of the others in the group. Within the FP7 UncertWeb project (http://www.uncertweb.org/), there is a requirement to build a Webbased tool for expert elicitation. In this paper, we discuss some of the issues of building a Web-based elicitation system - both the technological aspects and the statistical and scientific issues. In particular, we demonstrate two tools: a Web-based system for the elicitation of continuous random variables and a system designed to elicit uncertainty about categorical random variables in the setting of landcover classification uncertainty. The first of these examples is a generic tool developed to elicit uncertainty about univariate continuous random variables. It is designed to be used within an application context and extends the existing SHELF method, adding a web interface and access to metadata. The tool is developed so that it can be readily integrated with environmental models exposed as web services. The second example was developed for the TREES-3 initiative which monitors tropical landcover change through ground-truthing at confluence points. It allows experts to validate the accuracy of automated landcover classifications using site-specific imagery and local knowledge. Experts may provide uncertainty information at various levels: from a general rating of their confidence in a site validation to a numerical ranking of the possible landcover types within a segment. A key challenge in the web based setting is the design of the user interface and the method of interacting between the problem owner and the problem experts. We show the workflow of the elicitation tool, and show how we can represent the final elicited distributions and confusion matrices using UncertML, ready for integration into uncertainty enabled workflows.We also show how the metadata associated with the elicitation exercise is captured and can be referenced from the elicited result, providing crucial lineage information and thus traceability in the decision making process.

Land use monitoring in the Nigerian savanna using aerial photographs

Aerial photography was used to determine the land use in a test area of the Nigerian savanna in 1950 and 1972. Changes in land use were determined and correlated with accessibility, appropriate low technology methods being used to make it easy to extend the investigation to other areas without incurring great expense. A test area of 750 sq km was chosen located in Kaduna State of Nigeria. The geography of the area is summarised together with the local knowledge which is essential for accurate photo interpretation. A land use classification was devised and tested for use with medium scale aerial photography of the savanna. The two sets of aerial photography at 1:25 000 scale were sampled using systematic dot grids. A dot density of 8 1/2 dots per sq km was calculated to give an acceptable estimate of land use. Problems of interpretation included gradation between categories, sample position uncertainty and personal bias. The results showed that in 22 years the amount of cultivated land in the test area had doubled while there had been a corresponding decrease in the amount of uncultivated land particularly woodland. The intensity of land use had generally increased. The distribution of land use changes was analysed and correlated with accessibility. Highly significant correlations were found for 1972 which had not existed in 1950. Changes in land use could also be correlated with accessibility. It was concluded that in the 22 year test period there had been intensification of land use, movement of human activity towards the main road, and a decrease in natural vegetation particularly close to the road. The classification of land use and the dot grid method of survey were shown to be applicable to a savanna test area.

Country attractiveness for offshoring and offshore outsourcing:additional considerations

In this article, we review aspects relating to the attractiveness of India for information technology offshore – outsourcing. Our starting point is that, indeed, India will remain competitive in the short-medium term. However, more importantly, we move on to argue that country attractiveness is becoming a less important issue. We consider an alternative approach to analyze country attractive in which the client's strategic intent behind going offshore and the vendor's global dispersedness and its local knowledge define the attractiveness of the firm's offshoring strategy.

The impact of general sales agents on the air cargo industry

A General Sales Agent (GSA) is an airline's outsourcing counter part that markets and manages cargo services. An empirical investigation is undertaken to ascertain whether GSAs contribute economically to the air cargo industry using three 'litmus test' indicators:1) contribution to the airline's sales and profitability by expanding o perating networks; 2) viability as a marketing option for emerging or struggling airlines to help cut operating costs to reduce prices; 3) cost-effective GSAs were found to establish an airline's market presence through wide network coverage and good local knowledge, leading to an expansion of airline's operating networks and generating greater sales revenue. Copyright © 2012 Inderscience Enterprises Ltd.

Self-organising zooms for decentralised redundancy management in visual sensor networks

When visual sensor networks are composed of cameras which can adjust the zoom factor of their own lens, one must determine the optimal zoom levels for the cameras, for a given task. This gives rise to an important trade-off between the overlap of the different cameras’ fields of view, providing redundancy, and image quality. In an object tracking task, having multiple cameras observe the same area allows for quicker recovery, when a camera fails. In contrast having narrow zooms allow for a higher pixel count on regions of interest, leading to increased tracking confidence. In this paper we propose an approach for the self-organisation of redundancy in a distributed visual sensor network, based on decentralised multi-objective online learning using only local information to approximate the global state. We explore the impact of different zoom levels on these trade-offs, when tasking omnidirectional cameras, having perfect 360-degree view, with keeping track of a varying number of moving objects. We further show how employing decentralised reinforcement learning enables zoom configurations to be achieved dynamically at runtime according to an operator’s preference for maximising either the proportion of objects tracked, confidence associated with tracking, or redundancy in expectation of camera failure. We show that explicitly taking account of the level of overlap, even based only on local knowledge, improves resilience when cameras fail. Our results illustrate the trade-off between maintaining high confidence and object coverage, and maintaining redundancy, in anticipation of future failure. Our approach provides a fully tunable decentralised method for the self-organisation of redundancy in a changing environment, according to an operator’s preferences.

The politics of knowledge in central Asia:science between Marx and the market

Through careful historical and ethnographic research and extensive use of local scholarly works, this book provides a persuasive and careful analysis of the production of knowledge in Central Asia. The author demonstrates that classical theories of science and society are inadequate for understanding the science project in Central Asia. Instead, a critical understanding of local science is more appropriate. In the region, the professional and political ethos of Marxism-Leninism was incorporated into the logic of science on the periphery of the Soviet empire. This book reveals that science, organizes and constructed by Soviet rule, was also defined by individual efforts of local scientists. Their work to establish themselves 'between Marx and the market' is therefore creating new political economies of knowledge at the edge of the scientific world system.

Proposing a systems vision of knowledge management in emergency care

This paper makes a case for taking a systems view of knowledge management within health-care provision, concentrating on the emergency care process in the UK National Health Service. It draws upon research in two casestudy organizations (a hospital and an ambulance service). The case-study organizations appear to be approaching knowledge (and information) management in a somewhat fragmented way. They are trying to think more holistically, but (perhaps) because of the ways their organizations and their work are structured, they cannot ‘see’ the whole of the care process. The paper explores the complexity of knowledge management in emergency health care and draws the distinction for knowledge management between managing local and operational knowledge, and global and clinical knowledge.

Evidence and implications of multiple paradigms in accounting knowledge production

This paper uses evidence gathered in two perception studies ofAustralasian and British accounting academics to reflect on aspects of the knowledge production systemwithin accounting academe. We provide evidence of the representation of multiple paradigms in many journals that are scored by participants as being of high quality. Indeed most of the journals we surveyed are perceived by accounting academics as incorporating research from more than one paradigm. It is argued that this ‘catholic’ approach by journal editors and the willingness of many respondents in our surveys to score journals highly on material they publish from both paradigm categories reflects a balanced acceptance of the multi-paradigmatic state of accounting research. Our analysis is set within an understanding of systems of accounting knowledge production as socially constructed and as playing an important role in the distribution of power and reward in the academy. We explore the impact of our results on concerns emerging from the work of a number of authors who carefully expose localised 'elites'. The possibilities for a closer relationship between research emerging from a multi-paradigm discipline and policy setting and practice are also discussed. The analysis provides a sense of optimism that the broad constituency of accounting academics operates within an environment conducive for the exchange of ideas. That optimism is dampened by concerns about the impact of local 'elites' and the need for more research on their impact on accounting academe.

Postsocial relations:towards a performative view of accounting knowledge

This paper discusses the impact and influences of the growth of postsocial relations on accounting practice. Aspects of the growth of knowledge cultures, which have been argued to impact social and organizational arrangements, are discussed. Extending this view to accounting, we see accountants forming a distinctive knowledge culture with their own unique rules of how knowledge is constituted. These rules are embedded in accounting systems and practices. This paper suggests the need to further develop a research program that seeks to investigate accounting practice in local settings. The discussion in the paper is based on views which posit the growth of intimate links with epistemic objects within organizations and society. This paper argues that such ideas lead to an increasing tendency for us to experience the changes in societal relations and social arrangements as a compression of time and space. The paper relates these ideas to developments in the accounting research literature.

Marking high-technology market evolution through the foci of market stories:the case of local area networks

Previous research suggests that changing consumer and producer knowledge structures play a role in market evolution and that the sociocognitive processes of product markets are revealed in the sensemaking stories of market actors that are rebroadcasted in commercial publications. In this article, the authors lend further support to the story-based nature of market sensemaking and the use of the sociocognitive approach in explaining the evolution of high-technology markets. They examine the content (i.e., subject matter or topic) and volume (i.e., the number) of market stories and the extent to which content and volume of market stories evolve as a technology emerges. Data were obtained from a content analysis of 10,412 article abstracts, published in key trade journals, pertaining to Local Area Network (LAN) technologies and spanning the period 1981 to 2000. Hypotheses concerning the evolving nature (content and volume) of market stories in technology evolution are tested. The analysis identified four categories of market stories - technical, product availability, product adoption, and product discontinuation. The findings show that the emerging technology passes initially through a 'technical-intensive' phase whereby technology related stories dominate, through a 'supply-push' phase, in which stories presenting products embracing the technology tend to exceed technical stories while there is a rise in the number of product adoption reference stories, to a 'product-focus' phase, with stories predominantly focusing on product availability. Overall story volume declines when a technology matures as the need for sensemaking reduces. When stories about product discontinuation surface, these signal the decline of current technology. New technologies that fail to maintain the 'product-focus' stage also reflect limited market acceptance. The article also discusses the theoretical and managerial implications of the study's findings. © 2002 Elsevier Science Inc. All rights reserved.

Feminist translation studies:local and transnational perspectives

Feminist Translation Studies: Local and Transnational Perspectives situates feminist translation as political activism. Chapters highlight the multiple agendas and visions of feminist translation and the different political voices and cultural heritages through which it speaks across times and places, addressing the question of how both literary and nonliterary discourses migrate and contribute to local and transnational processes of feminist knowledge building and political activism. This collection does not pursue a narrow, fixed definition of feminism that is based solely on (Eurocentric or West-centric) gender politics—rather, Feminist Translation Studies: Local and Transnational Perspectives seeks to expand our understanding of feminist action not only to include feminist translation as resistance against multiple forms of domination, but also to rethink feminist translation through feminist theories and practices developed in different geohistorical and disciplinary contexts. In so doing, the collection expands the geopolitical, sociocultural and historical scope of the field from different disciplinary perspectives, pointing towards a more transnational, interdisciplinary and overtly political conceptualization of translation studies.

Bottom-up risk regulation? How nanotechnology risk knowledge gaps challenge federal and state environmental agencies

Nanotechnologies have been called the "Next Industrial Revolution." At the same time, scientists are raising concerns about the potential health and environmental risks related to the nano-sized materials used in nanotechnologies. Analyses suggest that current U.S. federal regulatory structures are not likely to adequately address these risks in a proactive manner. Given these trends, the premise of this paper is that state and local-level agencies will likely deal with many "end-of-pipe" issues as nanomaterials enter environmental media without prior toxicity testing, federal standards, or emissions controls. In this paper we (1) briefly describe potential environmental risks and benefits related to emerging nanotechnologies; (2) outline the capacities of the Toxic Substances Control Act, the Clean Air Act, the Clean Water Act, and the Resources Conservation and Recovery Act to address potential nanotechnology risks, and how risk data gaps challenge these regulations; (3) outline some of the key data gaps that challenge state-level regulatory capacities to address nanotechnologies' potential risks, using Wisconsin as a case study; and (4) discuss advantages and disadvantages of state versus federal approaches to nanotechnology risk regulation. In summary, we suggest some ways government agencies can be better prepared to address nanotechnology risk knowledge gaps and risk management.

Quality improvement in professional local government services : a longitudinal study

This sustained longitudinal study, carried out in a single local authority, investigates the implementation of a Total Quality Management (TQM) philosophy in professional local government services. At the start of this research, a large majority of what was written about TQM was polemical and based on limited empirical evidence. This thesis seeks to provide a significant and important piece of work, making a considerable contribution to the current state of knowledge in this area. Teams from four professional services within a single local authority participated in this research, providing the main evidence on how the quality management agenda in a local authority can be successfully implemented. To supplement this rich source of data, various other sources and methods of data collection have been used: 1) Interviews were carried out with senior managers from within the authority; 2) Customer focus groups and questionnaires were used; 3) Interviews were carried out with other organisations, all of which were proponents of a TQM philosophy. A number of tools have been developed to assist in gathering data: 1) The CSFs (critical success factors) benchmarking tool; 2) Five Stages of Quality Improvement Model. A Best Practice Quality Improvement Model, arising from an analysis of the literature and the researcher's own experience is proposed and tested. From the results a number of significant conclusions have been drawn relating to: 1) Triggers for change; 2) Resistance of local government professionals to change 3) Critical success factors and barriers to quality improvement in professional local government services; 4) The problems associated with participant observation and other methodological issues used.