839 resultados para Competition, Infrastructure, Make Or Buy Decision
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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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Given global demand for new infrastructure, governments face substantial challenges in funding new infrastructure and delivering Value for Money (VfM). As part of the background to this challenge, a critique is given of current practice in the selection of the approach to procure major public sector infrastructure in Australia and which is akin to the Multi-Attribute Utility Approach (MAUA). To contribute towards addressing the key weaknesses of MAUA, a new first-order procurement decision-making model is presented. The model addresses the make-or-buy decision (risk allocation); the bundling decision (property rights incentives), as well as the exchange relationship decision (relational to arms-length exchange) in its novel approach to articulating a procurement strategy designed to yield superior VfM across the whole life of the asset. The aim of this paper is report on the development of this decisionmaking model in terms of the procedural tasks to be followed and the method being used to test the model. The planned approach to testing the model uses a sample of 87 Australian major infrastructure projects in the sum of AUD32 billion and deploys a key proxy for VfM comprising expressions of interest, as an indicator of competition.
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Australia is just one of many developed countries facing the challenge of delivering value for money in the provision of a substantial infrastructure pipeline amidst severe construction and private finance constraints. To help address this challenge, this chapter focuses on developing an understanding of the determinants of value at key procurement decision points that range from the make-or-buy decision, to buying in the context of market structures, including the exchange relationship and contractual arrangement decision. This understanding is based on theoretical pluralism and illustrated by research in the field of construction and maintenance, and in public-private partnerships.
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The commercial process in construction projects is an expensive and highly variable overhead. Collaborative working practices carry many benefits, which are widely disseminated, but little information is available about their costs. Transaction Cost Economics is a theoretical framework that seeks explanations for why there are firms and how the boundaries of firms are defined through the “make-or-buy” decision. However, it is not a framework that offers explanations for the relative costs of procuring construction projects in different ways. The idea that different methods of procurement will have characteristically different costs is tested by way of a survey. The relevance of transaction cost economics to the study of commercial costs in procurement is doubtful. The survey shows that collaborative working methods cost neither more nor less than traditional methods. But the benefits of collaboration mean that there is a great deal of enthusiasm for collaboration rather than competition.
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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.
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The basic premise of transaction-cost theory is that the decision to outsource, rather than to undertake work in-house, is determined by the relative costs incurred in each of these forms of economic organization. In construction the "make or buy" decision invariably leads to a contract. Reducing the costs of entering into a contractual relationship (transaction costs) raises the value of production and is therefore desirable. Commonly applied methods of contractor selection may not minimise the costs of contracting. Research evidence suggests that although competitive tendering typically results in the lowest bidder winning the contract this may not represent the lowest project cost after completion. Multi-parameter and quantitative models for contractor selection have been developed to identify the best (or least risky) among bidders. A major area in which research is still needed is in investigating the impact of different methods of contractor selection on the costs of entering into a contract and the decision to outsource.
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For the selection of a firm's structure between vertical integration and arm's-length outsourcing, the importance of the thickness of the market had been emphasized in the previous literature. Here we take account of communication networks such as telephone, telex, fax, and the Internet. By doing so, we could illustrate the relationship between communication networks and the make-or-buy decision. With communication network technology differing in each type of firm, both vertically integrated firms and arm's-length outsourcing firms coexist, which was never indicated in the previous literature. However, when common network technology is introduced, such coexistence generically does not occur.
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Purpose – The purpose with this study is to investigate which factors that needs to be considered for sourcing decisions to ensure an optimal long-term decision, and which of these factors that can be quantified in a product costing model. To fulfill this purpose two research questions have been proposed: Which factors needs to be considered for a sourcing decision? Which of these factors that needs to be considered can be quantified in a product costing model? Method – A case study was conducted to fulfill the purpose of this study. The case study produced empirical data through interviews and document studies. The empirical data was interpreted and analyzed on the basis of the theoretical framework, created through literature studies. This process produced the result of this study. Findings – Factors to be considered for a sourcing decision have been identified and categorized in four over-arching categories: unit cost, logistical factors, capability factors and risk factors. These factors have been quantified in a product costing model. A preparatory decision model was created to further integrate some risk factors that could not be quantified. Implications – Both the make or buy decision and the manufacturing location decision have been considered in the product costing model presented in this study. The product costing model visualize and take into account hidden costs, rarely considered in sourcing decisions. This further enables optimal long-term sourcing decisions. Limitations – Risk factors remain difficult to quantify. This makes it difficult to determine the cost of risk factors, and as a result of that, to include them in a product costing model. Companies with similar conditions suites the model since the case study was conducted at only one company. Whether the product costing model is true for business in other contexts remain uncertain.
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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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Some evidence in the area of make-buy decisions for new technologies suggests that it is a good idea for a company to pursue a fairly rigorous ''make'' policy in the early days of a potentially disruptive innovation. Other studies prescribe exactly the opposite, promoting instead a ''buy'' strategy. This paper seeks to bridge the gap between these perspectives by suggesting that both strategies are valid, but that they are most successfully applied in different market environments. The ''make'' prescription may be more suited to either extremely fast or extremely slow rates of technological change, while a ''buy'' strategy might be more appropriate in market sectors where technologies evolve at a medium pace. This paper highlights the importance of industry clockspeed and supplier relationships in make-buy decisions for new technologies, and puts forward two new hypotheses that require empirical testing.
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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.