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Rather than organize as traditional firms, many of today’s companies organize as platforms that sit at the nexus of multiple exchange and production relationships. This chapter considers a most basic question of organization in platform contexts: the choice of boundaries. Herein, I investigate how classical economic theories of firm boundaries apply to platform-based organization and empirically study how executives made boundary choices in response to changing market and technical challenges in the early mobile computing industry (the predecessor to today’s smartphones). Rather than a strict or unavoidable tradeoff between “openness-versus-control,” most successful platform owners chose their boundaries in a way to simultaneously open-up to outside developers while maintaining coordination across the entire system.

The objective of this study is to propose a functional framework for hydrological applications by treating flood hydrographs as functional data. Discrete flow data are transformed into a smoothing hydrograph curve, which can be analysed at any time interval. The concept of functional data considered the entire curve concerning time as a single observation. This chapter briefly discussed the idea of descriptive statistics, principal components and outliers in a functional framework. These methods were illustrated in the flood study at Sungai Kelantan River Basin, Malaysia. The results showed that five main components accounted for almost 73.8% of the overall flow variance. Based on the results of the factor scores, the hydrograph curves for the years 1988, 1993 and 2014 may be said to have a unique cluster of their own, while the rest of the years which consider having the same pattern. Due to various shapes and magnitudes, the hydrograph curves of 1988 and 2014 are considered outliers. In conclusion, the functional framework has shown that it is capable of representing a wide range of hydrographs and is capable of extracting additional information found in the hydrograph curve that cannot possibly be captured using classical statistical methods.

Estimation of (in)efficiency became a popular practice that witnessed applications in virtually any sector of the economy over the last few decades. Many different models were deployed for such endeavors, with Stochastic Frontier Analysis (SFA) models dominating the econometric literature. Among the most popular variants of SFA are Aigner, Lovell, and Schmidt (1977), which launched the literature, and Kumbhakar, Ghosh, and McGuckin (1991), which pioneered the branch taking account of the (in)efficiency term via the so-called environmental variables or determinants of inefficiency. Focusing on these two prominent approaches in SFA, the goal of this chapter is to try to understand the production inefficiency of public hospitals in Queensland. While doing so, a recognized yet often overlooked phenomenon emerges where possible dramatic differences (and consequently very different policy implications) can be derived from different models, even within one paradigm of SFA models. This emphasizes the importance of exploring many alternative models, and scrutinizing their assumptions, before drawing policy implications, especially when such implications may substantially affect people’s lives, as is the case in the hospital sector.

Special educators make countless decisions regarding services for students with disabilities. The evidence-based practice movement in education encourages those decisions be informed by the best available evidence, professional judgment, and client values and context. In this chapter we argue that while evidence is the best basis for making decisions it is imperfect and uncertainty about the evidence-base for decisions will always exist. We outline three classes of evidence and the sources of uncertainty for each. Finally, we describe a framework for integrating these different sources of evidence as a means for increasing confidence in evidence-based decisions.

The Whole Child Initiative (WCI) was developed over the past 15 years as a blueprint to promote long-term development and success of all children, as well as their families and communities. This chapter describes three aspects of the WCI model: (a) the need for a public health approach to sustainable, communitywide change targeting the whole child; (b) a clear, future-oriented vision for equipping educators, caregivers, and service providers with the skills and attitudes required to deliver high-quality instruction; and (c) the infusion of social and emotional learning practices to transform environments in which youth live and play. We provide examples of how schools, communities, and families can come together to create a common culture fostering stable and nurturing relationships essential for enhancing youth well-being. We close with recommended “super strategies” – low-cost, simple, and effective practices that can be broadly implemented to keep every child healthy, safe, engaged, supported, and challenged in the community at large.

This paper investigates the influences of temporary contracts along several dimensions of well-being (physical and mental health, self-assessed health and happiness) for young Italian workers. Our paper contributes to the literature exploring some new aspects of the relationship between temporary jobs and well-being in a country not frequently analysed in previous literature. We focus on the gender gap in the well-being consequences of non-permanent jobs, the influence of financial support by family in reducing well-being effects caused by temporary contracts and the interaction between gender gap and family support. We find that temporary contracts are damaging in terms of psychological health and happiness mostly for young men and individuals without family economic support. On the other hand, women’s mental health is not affected by temporary contracts and they are even better off in terms of their mental health and well-being when receiving family economic support.

Purpose – Despite an abundance of literature on the effects of copyright infringement on music consumption, empirical evidence remains ambiguous. The aim of this chapter is to quantify the effect of copyright infringement on recorded music purchases and live music attendance for Spanish frequent music consumers, and to measure its effect on participation for all music consumers.

Design/methodology approach – We rely on survey data for the Spanish population as our main information source and use propensity score matching to estimate the average effect of copyright infringement on music consumption. In order to do so, the methodology aims at estimating the difference between actual outcomes (record purchases or attendance to live concerts) for copyright infringers and the (counterfactual) outcome would they had not been infringers.

Findings – Two findings stand out. First, and with regards to recorded music consumption, we find a net positive effect of copyright infringement on full album purchases although a nonsignificant one for tracks. Second, there is a positive and significant effect on live attendance, which is consistent with an indirect appropriation effect across products. These results are robust when participation is considered, but some interesting differences arise between recorded music purchasers and live concerts attenders.

Originality/value – First, the use of a counterfactual control group provides an additional approach to the assessment of copyright infringement. Second, within the same framework we investigate the effects of copyright infringement on recorded and live music, an approach that sheds some light on the degree of complementarity between both markets.

This chapter develops a structural framework for the analysis of scoring procurement auctions where bidder’s quality and bid are taken into account. With exogenous quality, the authors characterize the optimal mechanism whether the buyer is private or public and show that the optimal scoring rule need not be linear in the bid. The model primitives include the buyer benefit function, the bidders’ cost inefficiencies distribution and cost function, and potentially the cost of public funds. We show that the model primitives are nonparametrically identified under mild functional assumptions from the buyer’s choice, firms’ bids and qualities. The authors then develop a multistep kernel-based procedure to estimate the model primitives and provide their convergence rates. Our identification and estimation results are general as they apply to other scoring rules including quasi-linear ones.