Success factors for collaborative product development: a study of suppliers of information and communication technology

It is apparent that more and more organizations are embarking on collaborative ventures to develop products. This is particularly evident in Information and Communication Technology (ICT) sectors, so much so that part of the 'received wisdom' of ICT companies is that collaboration is the preferred route for product development. The benefits of collaboration have been well documented and are linked to the complexity and costliness of product development and the need for inputs from wide and varied areas of expertise as well as shorter lead times for product development. But the risks and costs of collsborative product development have been less well defined. In this paper, it is argued that the alleged rewards of collaboration may not be experienced in practice and that collaboration can lengthen the product development process, add to the cost of product development and prove difficult to control. However, management practice can facilitate the effective outcome of collaborative product development and the critical factors affecting the likelihood of successful management practice are presented here.     

Coping with poverty in international assistance policy: An evaluation of spatially integrated investment strategies

International assistance agencies have turned increasingly to integrated rural development policies in an attempt to ameliorate the inequitable distribution of economic growth plaguing Third World nations since World War II. This paper reviews the functionally and spatially integrated investment strategies of the World Bank, USAID and the United Nations, outlines their objectives, perceptions of the problem, basic assumptions and programmes, and evaluates them in terms of potential difficulties for implementation. Those factors crucial to making integrated development policies operational — knowledge of human ecosystems in rural areas, analytical ability, operational procedures, arrangements for local participation, subsistence systems indicators and administrative capacity of local and national governments — are discussed and assessed.     

Accounting aggregation: User preferences and decision making

This experiment tests the effects of alternative aggregations of accounting data in a simulated portfolio task. Certain entropy-based aggregation criteria were used to prepare differentially aggregated financial statements for use in the task. Subjects made allocations of initial edowments between hypothetical firms, disclosed confidence in their allocation decisions and reported on specific characteristics of the financial statements. Differences in reported usefulness of statement sets furnished were found to be associated strongly with measured information content. The results also provide limited evidence that decisions and judgments of subjects were affected by the information content of the accounting aggregations provided.     

Self-reported health: potential life underwriting tool?

Any approach that adds speed and efficiency to the underwriting process provides a competitive edge in today's fast changing financial services industry. The acquisition of data for medical underwriting has always been a challenge; with the traditional attending physician statement process adding time, real costs, and opportunity costs to manufacturing life products. Is there any potential for the use of self-reported medical and health history data in medical underwriting assessment? This article reviews published research on the uses and the validity of self-reported health data as it has been applied in current medical and public health practices. Whether self-reported medical history is valid data that can be applied in the underwriting context remains an open question.     

Term Structure Dynamics in Theory and Reality

This article is a critical survey of models designed for pricingfixed-income securities and their associated term structuresof market yields. Our primary focus is on the interplay betweenthe theoretical specification of dynamic term structure modelsand their empirical fit to historical changes in the shapesof yield curves. We begin by overviewing the dynamic term structuremodels that have been fit to treasury or swap yield curves andin which the risk factors follow diffusions, jump-diffusion,or have "switching regimes." Then the goodness-of-fit of thesemodels is assessed relative to their abilities to (i) matchlinear projections of changes in yields onto the slope of theyield curve; (ii) match the persistence of conditional volatilities,and the shapes of term structures of unconditional volatilities,of yields; and (iii) to reliably price caps, swaptions, andother fixed-income derivatives. For the case of defaultablesecurities we explore the relative fits to historical yieldspreads.     

Embodying Embodiment in a Structural,Macroeconomic Input-Output Model

In this paper, I develop a regression-based system of labour productivity equations that account for capital-embodied technological change and I incorporate this system into IDLIFT, a structural, macroeconomic input-output model of the US economy. Builders of regression-based forecasting models have long had difficulty finding labour productivity equations that exhibit the "Solowian' property that movements in investment should cause accompanying movements in labour productivity. The production theory developed by Solow and others dictates that this causation is driven by the effect of traditional capital deepening as well as technological change embodied in capital. Lack of measurement of the latter has hampered the ability of researchers to estimate properly the productivity-investment relationship. Recent research by Wilson (2001) has alleviated this difficulty by estimating industry-level embodied technological change. In this paper, I utilize those estimates to construct capital stocks adjusted for technological change and then use these adjusted stocks to estimate Solow-type labour productivity equations. It is shown that replacing IDLIFT's former productivity equations, based on changes in output and time trends, with the new equations, results in a convergence between the dynamic behaviour of the model and that predicted by traditional (Solowian) production theory.     

Measures used to evaluate industrial marketing activities

Given the importance of controlling marketing efforts, a study was conducted of industrial manufacturers to determine the extent of their use of various measures to evaluate different marketing activities. The predominate measures used for evaluation were sales volume with much less utilization of profitability, productivity, and expense measures.