11 resultados para Book trade
em Aston University Research Archive
Resumo:
In pursuing their particular strategic goals, organisations place differential emphasis in their activities on employees and customers. Those who focus predominantly on employees see them as key resources contributing to successful achievement of goals, while those who focus on customers believe that customer commitment is the prime source of financial prosperity and competitive advantage. In all firms, there is potential for conflict and subsequent trade-offs in the emphasis placed on employee resources and customers. This paper investigates the implications of these potential trade-offs on firms’ boundary-spanning capabilities (those capabilities that enable firms to interact effectively with their customers, their suppliers, their strategic allies and others in their business networks) in European and Australasian markets. The results suggest that those companies which achieve a strong but balanced focus on both employees and customers have heightened boundary-spanning capabilities. The comparison between UK and Australian businesses indicates that the balance is more highly developed in Australasian than European (UK) markets.
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Book review
Resumo:
The evaluation study used econometric techniques and evidence on both users and non-users of UKTI trade services to investigate the impact of UKTI support on business investment in Research and Development (R&D). It found evidence that trade support generates additional R&D of around £65k per firm, with key UKTI services such as the Tradeshow Access Programme, Export Marketing Research Scheme, Website business opportunities alerts, and Passport to Export scheme tending to generate the strongest R&D impact. The research also confirmed that innovative and growing firms were most likely to show positive R&D impact and there was clear evidence of UKTI service complementarity, with the R&D impact stronger for multiple service use.
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This paper uses novel data on trade mark activity of UK manufacturing and service sector firms to investigate whether trade marks improve the profitability and productivity of firms. We first analyse Tobin`s q, the ratio of stock market value to book value of tangible assets. We then investigate the relationship between trade mark activity and productivity, using a value added production function. Finally we examine interactions between firms IP activity, to explore creative destruction and growth via innovation. We find trade marks are positively related to both Tobin`s q and to productivity. Also in the short run greater IP activity by other firms in the industry reduces the value added of the firm, but this same competitive pressure has later benefits via productivity growth, also reflected in higher stock market value. This describes the Schumpeterian process of competition through innovation, restraining profit margins while increasing product variety and quality.
Resumo:
Market mechanisms are a means by which resources in contention can be allocated between contending parties, both in human economies and those populated by software agents. Designing such mechanisms has traditionally been carried out by hand, and more recently by automation. Assessing these mechanisms typically involves them being evaluated with respect to multiple conflicting objectives, which can often be nonlinear, noisy, and expensive to compute. For typical performance objectives, it is known that designed mechanisms often fall short on being optimal across all objectives simultaneously. However, in all previous automated approaches, either only a single objective is considered, or else the multiple performance objectives are combined into a single objective. In this paper we do not aggregate objectives, instead considering a direct, novel application of multi-objective evolutionary algorithms (MOEAs) to the problem of automated mechanism design. This allows the automatic discovery of trade-offs that such objectives impose on mechanisms. We pose the problem of mechanism design, specifically for the class of linear redistribution mechanisms, as a naturally existing multi-objective optimisation problem. We apply a modified version of NSGA-II in order to design mechanisms within this class, given economically relevant objectives such as welfare and fairness. This application of NSGA-II exposes tradeoffs between objectives, revealing relationships between them that were otherwise unknown for this mechanism class. The understanding of the trade-off gained from the application of MOEAs can thus help practitioners with an insightful application of discovered mechanisms in their respective real/artificial markets.