988 resultados para Lead Firms
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During the past decade of declining FDI barriers, small domestic firms disproportionately contracted while large multinational firms experienced a substantial growth in Japan’s manufacturing sector. This paper quantitatively assesses the impact of FDI globalization on intra-industry reallocations and aggregate productivity. We calibrate the firm-heterogeneity model of Eaton, Kortum, and Kramarz (2011) to micro-level data on Japanese multinational firms. Estimating the structural parameters of the model, we demonstrate that the model can strongly replicate the entry and sales patterns of Japanese multinationals. Counterfactual simulations show that declining FDI barriers lead to a disproportionate expansion of foreign production by more efficient firms relative to less efficient firms. A hypothetical 20% reduction in FDI barriers is found to generate a 30.7% improvement in aggregate productivity through market-share reallocation.
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This paper examines the implications of strategic rigidness for technology adoption behaviours among electric utilities. Such behaviours lead to heterogeneity in firm performance and consequently affect the electric utility industry. The paper's central aim is to identify and describe the implications of strategic rigidness for a utility firm's decision making in adopting newer renewable energy technologies. The findings indicate that not all utility firms are keen to adopt these new technologies, as these firms have traditionally been operating efficiently with a more conventional and mature technological arrangement that has become embedded in the organisational routine. Case studies of Iberdrola S.A. and Enel S.p.A. as major electric utilities are detailed to document mergers and acquisitions and technology adoption decisions. The results indicate that technology adoption behaviours vary widely across utility firms with different organisational learning processes and core capabilities.
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This article presents an innovative approach to estimating the additionality of financial assistance awarded to firms by an Irish regional development agency. The 'self assessment approach' is used to derive estimates of deadweight and displacement for firms in the Shannon region of Ireland. Irish studies have derived high estimates of deadweight by international standards. In light of this, and the fact that successive Irish governments have placed emphasis on Foreign Direct Investment as an engine for growth, the primary objective here is to address the question of whether the type of firm ownership matters with respect to resulting deadweight and/or displacement estimates. The latter question is addressed using logistic regression analysis to test whether, ceteris paribus, firm ownership is a key-determining factor for estimates of deadweight and/or displacement. The results show that ownership does not matter in the case of deadweight, but regarding displacement there are differences between indigenous and foreign-owned firms albeit at very low levels. More precisely, as expected, indigenously owned firms are more likely to lead to higher estimates of displacement.
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We present the first innovation value chain analysis for a representative sample of new technology based firms (NTBFs) in the UK. This involves determining which factors lead to the usage of different knowledge sources and the relationships that exist between those sources of knowledge; the effect that each knowledge source has on innovative activity; and how innovation outputs affect the performance of NTBFs. We find that internal and external knowledge sources are complementary for NTBFs, and that supply chain linkages have both a direct and indirect effect on innovation. NTBFs’ skill resources matter throughout the innovation value chain, being positively associated with external knowledge linkages and innovation success, and also having a direct effect on growth independent of the effect on innovation. Exporting matters for performance, but not through any effect on innovation.
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A notable feature of the recent commercialisation of biotechnology has been the success of 200 or so new firms, established in America since 1976, in exploiting specialised market niches. A key factor in their formation has been the ready availability of venture capital funding. These firms have been instrumental in establishing America's lead in exploiting biotechnology. It is this example which Britain has attempted to emulate as part of its strategy for developing its own biotechnology capabilities. This thesis investigated some aspects of the relationship between biotechnology and venture capital, concentrating on the determinants of the venture capitalist's investment decision. Following an extensive literature survey, two hypothetical business proposals were used to find what venture capitalists themselves consider to be the key elements of this decision. It was found that venture capitalists invest in people, not products, and businesses, not industries. It was concluded that venture capital-backed small firms should, therefore, be seen as an adjunct to the development of biotechnology in Britain, rather than as a substitute for a co-ordinated, co-operative strategy involving Government, the financial institutions, industry and academia. This is chiefly because the small size of the UK's domestic market means that many potentially important innovations in biotechnology may continue to be lost, since the short term identification of market opportunities for biotechnology products will dictate that they are insupportable in Britain alone. In addition, the data analysis highlighted some interesting methodological issues concerning the investigation of investment decision making. These related especially to shortcomings in the use of scoresheets and questionnaires in research in this area. The conclusion here was that future research should concentrate on the reasons why an individual reaches an investment decision. It is argued that only in this way can the nature of the evaluation procedures employed by venture capitalists be properly understood.
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This study examines the relationship between executive directors’ remuneration and the financial performance and corporate governance arrangements of the UK and Spanish listed firms. These countries’ corporate governance framework has been shaped by differences in legal origin, culture and backgrounds. For example, the UK legal arrangements can be defined as to be constituted in common-law, whereas for Spanish firms, the legal arrangement is based on civil law. We estimate both static and dynamic regression models to test our hypotheses and we estimate our regression using Ordinary Least Squares (OLS) and the Generalised Method of Moments (GMM). Estimated results for both countries show that directors’ remuneration levels are positively related with measures of firm value and financial performance. This means that remuneration levels do not lead to a point whereby firm value is reduced due to excessive remuneration. These results hold for our long-run estimates. That is, estimates based on panel cointegration and panel error correction. Measures of corporate governance also impacts on the level of executive pay. Our results have important implications for existing corporate governance arrangements and how the interests of stakeholders are protected. For example, long-run results suggest that directors’ remuneration adjusts in a way to capture variation in financial performance
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Abstract There is considerable evidence that high-growth firms (HGFs) contribute significantly to employment and economic growth. However, the literature so far does not adequately explore the link between HGFs and productivity. This paper investigates the empirical link between total factor productivity (TFP) growth and HGFs, defined in terms of sales growth, in the United Kingdom over the period 2001-2010, by examining two related research questions. Firstly, does higher TFP growth lead to HGF status and secondly, does HGF experience help firms achieve faster TFP growth? Our findings reveal that firms in both the manufacturing and services sectors are more likely to become HGFs when they exhibit higher TFP growth. In addition, firms that have had HGF experience tend to enjoy faster TFP growth following the high-growth episodes. Policy implications are drawn based on the self-reinforcing process of the high-growth phenomenon that is revealed by our results. © 2014 The Author(s).
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Purpose - Enterprise resource planning (ERP) systems are limited due to their operation around a fixed design production process and a fixed lead time to production plan and purchasing plan. The purpose of this paper is to define the concept of informality and to describe the notion of a system combining informality and ERP systems, based on empirical research from four manufacturing case studies. Design/methodology/approach - The case studies present a range of applications of ERP and are analysed in terms of the three characteristics of informality, namely, organisation structure, communication method and leadership approach. Findings - The findings suggest that systems consisting of informality in combination with ERP systems can elicit knowledge fromfrontlineworkers leading to timely improvements in the system. This is achieved by allowing users to modify work procedures or production orders, and to support collaborative working among all employees. However it was found that informality is not required for manufacturers with a relatively stable environment who can deal with uncertainty with a proactive strategy. Research limitations/implications - This study was carried out in China, with four companies as unit of analysis. Future work can help to extend this study across countries. Originality/value - The use of Four dimensions of informality that relate to manufacturers implementing ERP are defined as "technology in practice", "user flexibility", "trusted human networks" and "positive reaction to uncertainty". This is a new construct not applied before to ERP implementations.
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A szerző kutatási célja, hogy megvizsgálja, vajon a hazai vállalatok mai gyakorlatában a fejlettebb logisztikai képességek együtt járnak-e magasabb teljesítménnyel. Az elemzés a Budapesti Corvinus Egyetem Vállalat-gazdaságtan Intézete mellett működő Versenyképesség Kutató Központ vállalati versenyképességet vizsgáló kérdőíves felmérés immár 4. fordulójának adatbázisát használja, melyet 2009 folyamán összesen 300 vállalat vezetőinek megkérdezésével hoztak létre. Ennek az adatbázisnak a felhasználásával a cikk két kérdésre keresi a választ. A szerző egyrészt megvizsgálja, vajon a mintában kimutatható-e egy fejlettebb logisztikai képességekkel rendelkező vállalatcsoport. Másrészt arra is kíváncsi, vajon ezek a fejlettebb logisztikai képességek együtt járnak-e a vállalatok magasabb teljesítményével. A 2009-es adatok elemzése igazolta, hogy logisztikai képességekben két szignifikánsan eltérő fejlettségű vállalatcsoport létét. Az eredményekből az is kiolvasható, hogy a magasabb logisztikai képességek a mintában együtt jártak a magasabb működési teljesítménnyel is. _________________ The overall objective of the paper is to investigate the relationship between logistics capabilities and company’s performance. Empirical analysis is carried out based on an extensive questionnaire developed and conducted at the Competitive Research Center at the Corvinus University of Budapest in 2009. Using this database the author had two separate research questions: Can she detect companies in their sample with significantly different logistics capabilities. If yes, does more developed logistics lead to higher level performance at the company level? After carrying out their empirical analysis they could state, that they could prove the existence of two clusters, one with less and another with more developed logistics capabilities. They also were able to show that firms with more developed logistics can achieve significantly higher operational performance and can be characterized with a more developed customer orientation.
Resumo:
We present an innovation value chain analysis for a representative sample of new technology based firms (NTBFs) in the UK. This involves determining which factors lead to the usage of different knowledge sources and the relationships that exist between those sources of knowledge; the effect that each knowledge source has on innovative activity; and how innovation outputs affect the performance of NTBFs. We find that internal (i.e. R&D) and external knowledge sources are complementary for NTBFs, and that supply chain linkages have both a direct and indirect effect on innovation. NTBFs' skill resources matter throughout the innovation value chain, being positively associated with external knowledge linkages and innovation success, and also having a direct effect on growth independent of the effect on innovation. ©2010 IEEE.
Resumo:
We present an innovation value chain analysis for a representative sample of new technology based firms (NTBFs) in the UK. This involves determining which factors lead to the usage of different knowledge sources and the relationships that exist between those sources of knowledge; the effect that each knowledge source has on innovative activity; and how innovation outputs affect the performance of NTBFs. We find that internal (i.e. R&D) and external knowledge sources are complementary for NTBFs, and that supply chain linkages have both a direct and indirect effect on innovation. NTBFs' skill resources matter throughout the innovation value chain, being positively associated with external knowledge linkages and innovation success, and also having a direct effect on growth independent of the effect on innovation. ©2010 IEEE.
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Purpose: Eco-innovation is any form of product, process or organisational innovation that contributes towards sustainable development. Firms can eco-innovate in a variety of ways. The purpose of this paper is to identify nine different eco-innovation activities – including such items as reducing material use per unit of output, reducing energy use per unit of output, reducing carbon dioxide (CO2) “footprint” – and the authors ask whether these act as substitutes or complements to one another. Design/methodology/approach: Eco-innovation is any form of product, process or organisational innovation that contributes towards sustainable development. Firms can eco-innovate in a variety of ways. In this paper the authors identify nine different eco-innovation activities – including such items as reducing material use per unit of output, reducing energy use per unit of output, reducing CO2 “footprint” – and the authors ask whether these act as substitutes or complements to one another. Findings: Introducing only one eco-innovation activity has little payoff (in terms of turnover per worker) with only those firms who reduce their CO2 “footprint” having higher levels of turnover per worker. When introducing more than one eco-innovation activity the authors find that certain eco-innovation activities complement one another (e.g. reducing material use within the firm at the same time as improving the ability to recycle the product after use) others act as substitutes (e.g. reducing material use within the firm at the same time as recycling waste, water or materials within the firm). Practical implications: The results suggest that firms can maximise their productive capacity by considering specific combinations of eco-innovation. This suggests that firms should plan to introduce eco-innovation which act as complements, thereby, boosting productivity. It also suggests that eco-innovation stimuli, introduced by policy makers, should be targeted at complementary eco-innovations. Originality/value: The paper analyses whether eco-innovations act as complements or substitutes. While a number of studies have analysed the importance of eco-innovation for firm performance, few have assessed the extent to which diverse types of eco-innovation interact with each other to complement or substitute for one another.
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The time for conducting Preventive Maintenance (PM) on an asset is often determined using a predefined alarm limit based on trends of a hazard function. In this paper, the authors propose using both hazard and reliability functions to improve the accuracy of the prediction particularly when the failure characteristic of the asset whole life is modelled using different failure distributions for the different stages of the life of the asset. The proposed method is validated using simulations and case studies.