Telecommunication Media Choice Behavior in Academia: An Austrian-Swiss Comparison

A general framework to analyze communication media choice behavior in the university setting is proposed which integrates a stated preference experimental design procedure into a discrete choice modeling framework. The framework is empirically tested using hypothetical choice experiments in which traditional mail, courier mail, telephone, facsimile, and electronic mail services were choice options to carry out information communication tasks. For this purpose face-to-face interviews were conducted in six universities in Austria and Switzerland. The choice modeling approach developed emphasizes the influence of communication context specific characteristics, individual and organizational characteristics of the communication initiator as well as the individual's perceptions and feelings about the communication media on the formation of preferences. Empirical results are presented using stated preference models of communication media choice behavior for a series of communication situations. Specific emphasis is laid on cross-national differences in choice behavior.     

Learning in Single Hidden-Layer Feedforward Network Models: Backpropagation in a Spatial Interaction Modeling Context

Learning in neural networks has attracted considerable interest in recent years. Our focus is on learning in single hidden-layer feedforward networks which is posed as a search in the network parameter space for a network that minimizes an additive error function of statistically independent examples. We review first the class of single hidden-layer feedforward networks and characterize the learning process in such networks from a statistical point of view. Then we describe the backpropagation procedure, the leading case of gradient descent learning algorithms for the class of networks considered here, as well as an efficient heuristic modification. Finally, we analyze the applicability of these learning methods to the problem of predicting interregional telecommunication flows. Particular emphasis is laid on the engineering judgment, first, in choosing appropriate values for the tunable parameters, second, on the decision whether to train the network by epoch or by pattern (random approximation), and, third, on the overfitting problem. In addition, the analysis shows that the neural network model whether using either epoch-based or pattern-based stochastic approximation outperforms the classical regression approach to modeling telecommunication flows.     

Bringing Development Back into Development Studies

This article challenges Horner and Hulme's call to move from ‘international development’ to ‘global development’ with a reaffirmation of the classical traditions of development studies. With some adaptation to fit the changing contemporary context, these traditions not only remain relevant but also recover vital insights that have been obscured in the various fashionable re‐imaginings of development. In particular, development thinking and agendas in the past were much more radical and ambitious in addressing the imperatives of redistribution and progressive forms of transformation in the context of stark asymmetries of wealth and power. Such ambition is still needed to address the nature and scale of challenges that continue to face the bulk of countries in the world, particularly given the persistence if not deepening of asymmetries. This reaffirmation is elaborated by addressing three major weaknesses in Horner and Hulme's arguments. First, they do not actually define development, but instead treat it as simply poverty and inequality dynamics, which are better understood as outcomes rather than causes. Second, despite their assertion that the study of (international) development was primarily concerned with between‐country inequalities, this is not true. Domestic inequality was in fact central to both development theory and policy since the origins of the field. Third, the authors ignore the rise of neoliberalism from the late 1970s onwards and the profound crisis that this caused to development outside of East Asia and perhaps India, which the jargon of ‘global’ implicitly obfuscates and even condones. Rather, the experiences of East Asia and in particular China arguably vindicate classical approaches in development studies.