Who's pulling the strings? The influence of network structure on standard dominance

Innovative systems and infrastructures require generally accepted common compatibility standards to enable components of such systems to interoperate. In some cases, various standards are developed by competing standards organizations, often resulting in standards battles. This paper focuses on factors that affect the outcome of these standards battles, and, specifically, on the effect of the structure of the industry-wide standards networks on standard dominance. The empirical context is the consumer electronics, telecommunications, and ICT arenas. We conduct a study of 103 standards organizations from 2000 to 2011. We find support for the hypothesis that standards that are supported by standards organizations that have a central position in the industry-wide standards network have a high chance of achieving dominance.     

Network formation models with costs for establishing links

Abstract. In this paper we study endogenous formation of communication networks in situations where the economic possibilities of groups of players can be described by a cooperative game. We concentrate on the influence that the existence of costs for establishing communication links has on the communication networks that are formed. The starting points in this paper are two game-theoretic models of the formation of communication links that were studied in the literature fairly recently, the extensive-form model by Aumann and Myerson (1988) and the strategic-form model that was studied by Dutta et al. (1998). We follow their analyses as closely as possible and use an extension of the Myerson value to determine the payoffs to the players in communication situations when forming links is not costless. We find that it is possible that as the costs of establishing links increase, more links are formed.     

Lifecycle‐based donor performance analysis

With charities of all sizes now having the ability to collect and store very large quantities of data about their donors on in‐house database systems, detailed donor performance analyses have an increasingly essential role to play in the effective planning and management of fundraising. If, however, such activities are to support fully the work of fundraisers then it is important that they are undertaken from the perspective of the fundraiser rather than of the specialist data analyst. This paper introduces an approach to donor performance analysis that is founded on what is termed a ‘donor lifecycle model’. The aim of this is to provide a formal analysis methodology that provides end results that can be more easily interpreted by nonspecialists and so more effectively used in support of the efficient planning of fundraising programmes. Copyright © 2000 Henry Stewart Publications     

Real option valuation of public sector R&D investments with a down-and-out barrier option

This paper presents a real options approach for valuing public-sector research and development projects, using a down-and-out barrier option. Specifically, it considers the potential savings to the tax payer for investing in technology to be purchased by a national government. The valuation is performed with stretched trinomial lattices. Government-driven demand for this technology is equated with the underlying asset, and valuation measured in terms of potential government savings. Two variables, volatility of demand for the technology and unit cost, are treated as uncertain. A Monte Carlo simulation is performed to understand the effects of these variables on the valuation. Other variables are estimated, and a parametric analysis is performed to understand the effects of these variables. To illustrate how this approach could be used, the development of a new sensor, to be used in large networks that track greenhouse gas fluxes, is considered as an example.     

Collegiality under pressure: the effects of family demands and flexible work arrangements in the Netherlands

Collegial relationships at work have become more important now that organizations increasingly use team-based work processes. Collegiality is also facing new challenges, however: more employees are meeting heavy demands beyond the workplace and making more frequent use of flexible work arrangements. This study seeks to explain the effect of employees’ family demands on collegiality and evaluates whether the use of flexible work arrangements improves or impedes collegial behaviour. Moreover, we aim to investigate collegial behaviour as an exchange process between co-workers, and therefore also take family demands and the use of flexible work arrangements by co-workers into account as predictors of employee collegiality. Based on a sample of 1114 employees from 30 organizations, the results show that when used by the employee and co-workers, flexitime decreases collegiality. Collegiality is decreased when the employee has young children, but increased when co-workers have older children. The implications of these findings for HR practices are discussed.     

Forecasting the US term structure of interest rates using a macroeconomic smooth dynamic factor model

We extend the class of dynamic factor yield curve models in order to include macroeconomic factors. Our work benefits from recent developments in the dynamic factor literature related to the extraction of the common factors from a large panel of macroeconomic series and the estimation of the parameters in the model. We include these factors in a dynamic factor model for the yield curve, in which we model the salient structure of the yield curve by imposing smoothness restrictions on the yield factor loadings via cubic spline functions. We carry out a likelihood-based analysis in which we jointly consider a factor model for the yield curve, a factor model for the macroeconomic series, and their dynamic interactions with the latent dynamic factors. We illustrate the methodology by forecasting the U.S. term structure of interest rates. For this empirical study, we use a monthly time series panel of unsmoothed Fama–Bliss zero yields for treasuries of different maturities between 1970 and 2009, which we combine with a macro panel of 110 series over the same sample period. We show that the relationship between the macroeconomic factors and the yield curve data has an intuitive interpretation, and that there is interdependence between the yield and macroeconomic factors. Finally, we perform an extensive out-of-sample forecasting study. Our main conclusion is that macroeconomic variables can lead to more accurate yield curve forecasts.     

Firm heterogeneity, productivity and spatially bounded knowledge externalities

In this paper, we argue that conceptually disentangling the ‘context versus composition’ aspects of regional growth is a multilevel issue. By applying multilevel models (also called random-effects models), we show (1) the importance of considering firm-specific characteristics simultaneously with region-specific characteristics, as we find that a large part of what is traditionally assigned to the impact of the region should be assigned to firm-specific characteristics and (2) that existing single-level methodologies can be problematic, as they are vulnerable to the charge of estimating significance levels that are too liberally assigned and promote exaggerations. This is illustrated empirically by showing that single-level approaches would lead to the conclusion that innovation spillovers are highly significant in a setting of Dutch urban growth differentials, while multilevel analyses shows less liberally assigned significance levels. We conclude that multilevel-effect models better fit research questions that combine firm and spatial characteristics simultaneously, especially because they allow firm-specific characteristics to be differently linked to their regional contexts.