932 resultados para Make or buy decisions


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This paper identifies the significance of make or buy issues for manufacturing industry, and positions the question as central to manufacturing strategy. The key importance of technology assessment in formulating a make or buy strategy is examined, together with some practical techniques for making this assessment. Finally the issues of managing the technology base of a business are reviewed, and current research aimed at facilitating this task is described.

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Im Artikel geht es um die Frage, ob es sich für Unternehmen lohnt, Materialen selbst herzustellen oder einzukaufen.

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O objetivo do trabalho foi verificar a aplicação de modelos de decisão ¿make or buy¿ nas decisões de terceirização em hospitais privados. Foi realizado um levantamento dos modelos mais representativos, na literatura de administração em geral e do setor de saúde, para a decisão. Realizou-se estudo de casos múltiplos em quatro hospitais privados de grande porte do município de São Paulo, nas áreas terceirizadas de laboratório de análises clínicas, serviços de diagnóstico por imagem e de hemoterapia (bancos de sangue e agências transfusionais). Procedeu-se entrevistas semi-estruturadas para obter a percepção de executivos e proprietários das organizações (hospitais e empresas) quanto às variáveis independentes e dependentes de cada um dos modelos escolhidos. A análise utilizou a técnica de adequação ao padrão. A combinação de Perspectiva de Competências Centrais, Teoria dos Custos de Transação e Teoria da Agência mostrou ter maior poder descritivo sobre os achados das estruturas inter-firmas adotadas. Teoria de Dependência de Recursos e Dinâmica Setorial tem menor aplicação nos serviços pesquisados. A Teoria de Rede descreve vários aspectos encontrados em todos os casos. A pesquisa pode contribuir para a modelagem das decisões de terceirização no setor.

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Make-buy decisions are an important aspect of the overall strategic plans for most firms, and the introduction of a new and potentially radical technology into an industry should therefore be a cue for managers to review their make-buy policies. Should a company make in-house the components and processes underpinning the technology, or should it buy them from an outside supplier? Earlier attempts to answer this question may have failed to agree on a single verdict because they have overlooked two important market forces: supplier relations and industry clockspeed. Based on an intensive three-year study at the University of Cambridge which analyzed supply chain management practices from a broad range of manufacturers around the world, this book helps to resolve this classic technology outsourcing dilemma and gives managers the tools they will need to determine if they should make or buy the components and processes that go into a potentially radical innovation.

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Purpose of this paper – The purpose of this investigation is to help establish: whether or not strong relationships between suppliers and customers improve performance; and if prescriptive frameworks on outsourcing radical innovations are dependent on industry clockspeed. Design/methodology/approach – A survey of UK-based manufacturers, followed by a statistical analysis. Findings – Long-term supplier links seem not to play a role in the development of radical innovations. Moreover, industry clockspeed has no significant bearing on the success or failure of any outsourcing strategy for radically new technologies. Research limitations/implications – Literature about outsourcing in the face of radical innovation can be more confidently applied to industries of all clockspeeds. Practical implications – Prescriptions for fast clockspeed industries should be applied more broadly: all industries should maintain a high degree of vertical integration in the early days of a radical innovation. Originality/value – Prior papers had explored whether or not a company should outsource radical innovations, but none had determined if this is equally true for slow industries and fast ones. Therein lies the original contribution of this paper.

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Are the perceptions of professional economists on transaction costs consistent with make-or-buy decisions made within firms? The answer may have important implications for transaction cost research. Data on firms' outsourcing during the new product development process are taken from a largescale survey of UK, German and Irish manufacturing plants, and we test the consistency of these outsourcing decisions with the predictions derived from the transaction cost perceptions of a panel of economists. Little consistency is evident between actual outsourcing patterns and the predictions of the (Williamsonian) transactions cost model derived from the panel of economists. There is, however, evidence of a systematic pattern to the differences, suggesting that a competence or resource-based approach may be relevant to understanding firm outsourcing, and that firms are adopting a strategic approach to managing their external relationships. © Cambridge Political Economy Society 2005; all rights reserved.

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Este trabajo recopila literatura académica relevante sobre estrategias de entrada y metodologías para la toma de decisión sobre la contratación de servicios de Outsourcing para el caso de empresas que planean expandirse hacia mercados extranjeros. La manera en que una empresa planifica su entrada a un mercado extranjero, y realiza la consideración y evaluación de información relevante y el diseño de la estrategia, determina el éxito o no de la misma. De otro lado, las metodologías consideradas se concentran en el nivel estratégico de la pirámide organizacional. Se parte de métodos simples para llegar a aquellos basados en la Teoría de Decisión Multicriterio, tanto individuales como híbridos. Finalmente, se presenta la Dinámica de Sistemas como herramienta valiosa en el proceso, por cuanto puede combinarse con métodos multicriterio.

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Firms are not atomistic hierarchies only linked with one another at arm’s-length distance in markets. Instead, a myriad of long-lived, highly cooperative relationships between suppliers and customers are pervasively found in the B2B world. And it is within those enmeshed relationships and networks that the co-evolution of capabilities and business specialisms is brought about and developed. If that is the actual ‘topography’ of the business landscape, then the coordination of economic activities in general, and the boundary decisions of each and every firm in particular, are unlikely to be reduced to a (dual) choice between ‘making’ orbuying’. Inter-firm cooperation is in itself a third governance structure, in alternative to the hierarchical and the market modes of coordination. And, what is also equally important to note, it is through the make-or-buy-or-cooperate decisions that the (embedded) firm is able to change its nature and scope, redefine its (fuzzy) boundaries, and thus adapt to an ever-changing business setting.

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Significant empirical data from the fields of management and business strategy suggest that it is a good idea for a company to make in-house the components and processes underpinning a new technology. Other evidence suggests exactly the opposite, saying that firms would be better off buying components and processes from outside suppliers. One possible explanation for this lack of convergence is that earlier research in this area has overlooked two important aspects of the problem: reputation and trust. To gain insight into how these variables may impact make-buy decisions throughout the innovation process, the Sporas algorithm for measuring reputation was added to an existing agent-based model of how firms interact with each other throughout the development of new technologies. The model�s results suggest that reputation and trust do not play a significant role in the long-term fortunes of an individual firm as it contends with technological change in the marketplace. Accordingly, this model serves as a cue for management researchers to investigate more thoroughly the temporal limitations and contingencies that determine how the trust between firms may affect the R&D process.