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This study proposes targeted modernization of the Department of Defense (DoD's) Joint Forces Ammunition Logistics information system by implementing the optimized innovative information technology open architecture design and integrating Radio Frequency Identification Device data technologies and real-time optimization and control mechanisms as the critical technology components of the solution. The innovative information technology, which pursues the focused logistics, will be deployed in 36 months at the estimated cost of $568 million in constant dollars. We estimate that the Systems, Applications, Products (SAP)-based enterprise integration solution that the Army currently pursues will cost another $1.5 billion through the year 2014; however, it is unlikely to deliver the intended technical capabilities.

This chapter argues that models trying to explain the spread of drug use should not be based on standard epidemiological models developed to describe the spread of infectious diseases. The main weaknesses of the standard model are the lack of attention to micro-foundations and the inappropriateness of several of its assumptions in the context of drug use. An approach based on mechanisms and social interaction is argued to provide a promising alternative to the standard approach. To illustrate this, a model of the spread of drugs based on two mechanisms has been developed (observational learning and social stigma). Lastly, some of the difficulties in testing and deriving policy implications in these models are discussed.

In their authoritative literature review, Breen and Jonsson (2005) claim that ‘one of the most significant trends in the study of inequalities in educational attainment in the past decade has been the resurgence of rational-choice models focusing on educational decision making’. The starting point of the present contribution is that these models have largely ignored the explanatory relevance of social interactions. To remedy this shortcoming, this paper introduces a micro-founded formal model of the macro-level structure of educational inequality, which frames educational choices as the result of both subjective ability/benefit evaluations and peer-group pressures. As acknowledged by Durlauf (2002, 2006) and Akerlof (1997), however, while the social psychology and ethnographic literature provides abundant empirical evidence of the explanatory relevance of social interactions, statistical evidence on their causal effect is still flawed by identification and selection bias problems. To assess the relative explanatory contribution of the micro-level and network-based mechanisms hypothesised, the paper opts for agent-based computational simulations. In particular, the technique is used to deduce the macro-level consequences of each mechanism (sequentially introduced) and to test these consequences against French aggregate individual-level survey data. The paper's main result is that ability and subjective perceptions of education benefits, no matter how intensely differentiated across agent groups, are not sufficient on their own to generate the actual stratification of educational choices across educational backgrounds existing in France at the beginning of the twenty-first century. By computational counterfactual manipulations, the paper proves that network-based interdependencies among educational choices are instead necessary, and that they contribute, over and above the differentiation of ability and of benefit perceptions, to the genesis of educational stratification by amplifying the segregation of the educational choices that agents make on the basis of purely private ability/benefit calculations.

This article aims at investigating knowledge transfer and exchange (KTE) between founder firms and corporate foundations (CFs), looking at mechanisms able to enhance CFs’ orientation of effectiveness.

We analyze 50 questionnaires collected through a survey of CFs based in Italy (redemption of 42.7% of the total). We use a number of regressions to verify the change of explained variance moving from a basic model with control variables (enter method) and a model including KTE mechanisms with an impact on orientation to effectiveness (stepwise method).

The analysis produced a model which underlines the influence of knowledge transfer mechanisms in stimulating orientation to effectiveness. The adoption of specific knowledge transfer mechanisms by founder firms can have a significant influence on how CFs manage their effectiveness. Three mechanisms emerge from the study as elements with a positive impact.

The results apply to nonprofit or public bodies, especially if we consider partnerships or organizational networks. The individuated criteria for selecting a positive KTE could drive similar choices of other nonprofit bodies.

The study individuates a set of practices that are potentially able to influence positively the orientation to effectiveness of CFs, and the capacity to perform their activities and respond to social needs more successfully.

This research considers CFs as founder firms’ subsidiaries, with a growing strategic importance. This research reveals how KTE mechanisms can foster the development of orientation to effectiveness if implying interaction, firms’ commitment, autonomy, and alignment with the firms’ strategy and CFs’ purposes.

The expansion of marketing data is encouraging the growing use of deep learning (DL) in marketing. I summarize the intuition behind deep learning and explain the mechanisms of six popular algorithms: three discriminative (convolutional neural network (CNN), recurrent neural network (RNN), and Transformer), two generative (variational autoencoder (VAE) and generative adversarial networks (GAN)), and one RL (DQN). I discuss what marketing problems DL is useful for and what fueled its growth in recent years. I emphasize the power and flexibility of DL for modeling unstructured data when formal theories and knowledge are absent. I also describe future research directions.

The chapter dwells on barriers for restoration and development of country's infrastructure on the platform of individual physical and practical forces, which are peculiar for the states with developing and transitional economy, as well as for developed countries. Directions of formation of the organizational model of restoration and development of country's infrastructure on the platform of individual physical and practical forces are presented; forms of public–private partnership are studied, as well as possibilities of financing. An important aspect is finding the mechanisms of leveling the risks according to the given classification. A mechanism of organizational model of controlling development of country's infrastructure and its structural elements are provided.