23 research outputs found

    Towards a theory of operational excellence

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    The term Operational Excellence is widely applied to businesses but the meaning is ill-defined and is often used as a desired goal. This paper provides a comprehensive review of Operational Excellence and starts to address the criticism of its lack of theoretical foundation. The aim of this conceptual paper is to clarify the meaning of Operational Excellent and to identify the underpinning theories and laws, or rules that guide it. Based on the synthesis of the literature using the term ‘Operational Excellence’ writings are reviewed against five criteria for a good theory. Our findings show there has been considerable research into identifying common practices and regularities of Operational Excellence but currently there is no single underlying theory of Operational Excellence that meets the criteria for a good theory. From our analysis of the literature we provide some recommendations to address the gaps found. Further research is required to develop a more robust theory of Operational Excellence that will serve to facilitate learning and innovation in next generation management thinking. Future study is also required to identify research that has been carried out that has tested the laws identified in this study. Ideas and input from practitioners would also be required to develop the theory and underpinning laws

    Genetic Modifier Screens Reveal New Components that Interact with the Drosophila Dystroglycan-Dystrophin Complex

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    The Dystroglycan-Dystrophin (Dg-Dys) complex has a capacity to transmit information from the extracellular matrix to the cytoskeleton inside the cell. It is proposed that this interaction is under tight regulation; however the signaling/regulatory components of Dg-Dys complex remain elusive. Understanding the regulation of the complex is critical since defects in this complex cause muscular dystrophy in humans. To reveal new regulators of the Dg-Dys complex, we used a model organism Drosophila melanogaster and performed genetic interaction screens to identify modifiers of Dg and Dys mutants in Drosophila wing veins. These mutant screens revealed that the Dg-Dys complex interacts with genes involved in muscle function and components of Notch, TGF-β and EGFR signaling pathways. In addition, components of pathways that are required for cellular and/or axonal migration through cytoskeletal regulation, such as Semaphorin-Plexin, Frazzled-Netrin and Slit-Robo pathways show interactions with Dys and/or Dg. These data suggest that the Dg-Dys complex and the other pathways regulating extracellular information transfer to the cytoskeletal dynamics are more intercalated than previously thought

    Relevance of Kotter’s Model for Change in Successfully Implementing Lean

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    Part IV: ICT and Emerging TechnologiesInternational audienceThough lean consists of numerous tools and techniques that are applicable to entire value stream, there are not many guidelines on how to implement lean from the managerial perspective. Lean implementation has succeeded and failed in many different organizations. This paper attempts to map success factors of lean implementation as suggested by some studies with Kotter’s eight steps model for change

    Simultaneous Equation Model based on the generalized maximum entropy for studying the effect of management factors on enterprise performance

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    The aim of this paper is to study the effect of management factors on enterprise performance, considering a survey that the University Consortium in Engineering for Quality and Innovation has led. The relationships between management factors and enterprise performance are formalized by a Simultaneous Equation Model based on the generalized maximum entropy (GME) estimation method. The format of this paper is as follows. In Section 2, the data collected, the questionnaire evaluation, and the management model analytical formulation are introduced. In Section 3, the GME formulation is specified, showing the main characteristics of the estimation method. In Section 4, the results and a comparison among GME, partial least squares (PLS), and maximum likelihood estimation (MLE) is shown. In Section 5, concluding remarks are discussed.generalized maximum entropy, human resources, leadership, maximum likelihood estimation, partial least squares, performance, Simultaneous Equation Model, strategic planning,
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