9,687 research outputs found

    Understanding Entrepreneurship Process and Growth in Emerging Business Ventures under Market Socialism in China

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    Objectives: This paper aims to provide an insightful view of the entrepreneurial process and growth in different types of Chinese entrepreneurial enterprises under market socialism in China. This issue is explored by examining the organisational characteristics of three emerging business ventures under market reforms and institutional changes. It addresses the interactive effect of key contingency factors in entrepreneurship process and explains its impact on growth or failure outcomes in a particular ‘China type’ of market economy. Prior work: China’s hybrid economic system represents a mixed political economy with both socialist and capitalist characteristics (Lichtenstein, 1992; Morphy et al, 1992; Opper, 2001). Despite a growing body of research on Chinese small business practices alongside the economic reforms (Shen, 1994; Child, 1994; Naughton, 1994; Schlevogt, 2001; Warner, 2004; Yang, 2007; Kshetri, 2007; Yang and Li, 2008), more empirical studies are required to provide a critical insight into the emerging business practices. This research adopts a contingency model of entrepreneurship(Wickham, 2006) to examine entrepreneurship process and growth in different types of business venture. It reveals the interactive relationships among key variables such as strategy, ownership, culture and management process. Approaches: This research is undertaken through the empirical analysis of three case study companies in the textile industry. This fieldwork was conducted in 2006 and 2009 respectively. Multiple sources of data were collected including 21 open-ended interviews of owners and key managers in three case study companies. Results: The study offers an explanation on how entrepreneurship takes different forms and features in different organisational contexts. Empirical evidence supports four hypotheses: (1) The type of ownership is a key contingent factor that moderates particular entrepreneurial outcomes. (2) Leadership and knowledge accumulation capability are critical factors in learning process, significantly affecting the strategic choices in either high value or low value added products strategy. (3) The broadening of product portfolios and increased production capacity will improve survival chances and increase the likelihood of firm growth. (4) Management capability and consistency have greater impact on the outcome of entrepreneurship process than the resource and strategy factors. Implications: The findings have significant implications for a conceptual understanding of Chinese entrepreneurship dynamics. It addresses important considerations on government policy making and promotion strategies for entrepreneurship development in different forms of business venture. Value: The textile sector has pioneered the government reforms in restructuring and creating entrepreneurial enterprises. It offers a perfect case for assessing the entrepreneurship processes in a rapidly changing market environment. It emphasizes the important ownership effect on entrepreneurial outcomes. Drawing upon Wickham’s contingency model of entrepreneurship, it provides an improved understanding of this concept under particular circumstance and different contexts

    Rule-based system to detect energy efficiency anomalies in smart buildings, a data mining approach

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    The rapidly growing world energy use already has concerns over the exhaustion of energy resources andheavy environmental impacts. As a result of these concerns, a trend of green and smart cities has beenincreasing. To respond to this increasing trend of smart cities with buildings every time more complex,in this paper we have proposed a new method to solve energy inefficiencies detection problem in smartbuildings. This solution is based on a rule-based system developed through data mining techniques andapplying the knowledge of energy efficiency experts. A set of useful energy efficiency indicators is alsoproposed to detect anomalies. The data mining system is developed through the knowledge extracted bya full set of building sensors. So, the results of this process provide a set of rules that are used as a partof a decision support system for the optimisation of energy consumption and the detection of anomaliesin smart buildings.Comisión Europea FP7-28522

    Teaching and Professional Fellowship Report 2002/3: Colour and Computing

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    An exploration of new teaching and learning methodologies relating material colour use to digital colour and the computer's speed, control, 'sensitivity' and new possibilities to develop colour ideas of practical use in the studio

    Banks building markets by building communities

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    Banks, their customers and the local community share the long-term benefits of meaningful community investments.Community development ; Community banks ; Education - Economic aspects ; Technology - Economic aspects ; Medical care

    A Systematic Review of Financial Literacy as a Termed Concept: More Questions Than Answers

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    'Financial literacy', as a concept by that name, has only been explored in library science literature for a little over a decade. The concept, and especially the role of libraries in furthering this literacy, is still evolving. This systematic literature review examines the current definition of 'financial literacy', why financial literacy matters, where the public has been accessing financial literacy education to date, the difficulties encountered, by libraries and others, in providing this education, and how these challenges might be addressed moving forward.Publisher does not allow open access until after publicatio

    Information Outlook, May 1997

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    Volume 1, Issue 5https://scholarworks.sjsu.edu/sla_io_1997/1004/thumbnail.jp

    An Application of Declarative Languages in Distributed Architectures: ASP and DALI Microservices

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    In this paper we introduce an approach to the possible adoption of Answer Set Programming (ASP) for the definition of microservices, which are a successful abstraction for designing distributed applications as suites of independently deployable interacting components. Such ASP-based components might be employed in distributed architectures related to Cloud Computing or to the Internet of Things (IoT), where the ASP microservices might be usefully coordinated with intelligent logic-based agents. We develop a case study where we consider ASP microservices in synergy with agents defined in DALI, a well-known logic-based agent-oriented programming language developed by our research group

    Application of Hybrid Agents to Smart Energy Management of a Prosumer Node

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    We outline a solution to the problem of intelligent control of energy consumption of a smart building system by a prosumer planning agent that acts on the base of the knowledge of the system state and of a prediction of future states. Predictions are obtained by using a synthetic model of the system as obtained with a machine learning approach. We present case studies simulations implementing different instantiations of agents that control an air conditioner according to temperature set points dynamically chosen by the user. The agents are able of energy saving while trying to keep indoor temperature within a given comfort interval
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