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The future development of the internet is not only heavily dependent on its technological evolution, but also on business sustainability for the interconnection ecosystem the web relies on, where various players characterized by fairly different economic structures and interests are coexisting. Therefore, in this paper the authors aim to propose a methodological framework for developing innovative interconnection business models.

Starting from a comprehensive as‐is analysis including the selection of appropriate service scenarios, market activities are abstracted through an archetypization process. Based on that, a value network for the future marketplace is proposed and makes it possible to design a business model for carriers, before, as last step, both the value network configurations and the to‐be business model are evaluated.

The framework to assess the future internet ecosystem depicts the interconnections value network, shedding light on its key activities; it proposes the establishment of a new dynamic interconnection marketplace based on an emerging interconnection value network where traditional and original roles coexist; and it evaluates the introduction of sending party pays and bid‐and‐ask solutions for governing the marketplace and its business models.

The authors' approach addresses carriers, over‐the‐top providers and technology providers as well as end user groups, specifically aiming at fostering the evolution of the future internet by means of developing innovative value configurations and business model options with a substantial impact for a broad set of stakeholders on a global scale. Thus, the canvas of guidelines presented and discussed in this paper covers all stakeholders in the interconnection ecosystem and provides a solid starting point for upcoming implementations.

Multichip module packaging enables a significant increase of interconnect densities and performance of electronic systems. Multichip module technology based on laminate materials (MCM‐L) is attractive due to low cost and use of the standard equipment used by PCB manufacturers. The most limiting factor for higher wiring densities in PCB technology is the mechanical drilling of plated‐through holes. Using 0.3 mm drill diameters, 0.5 mm land diameters are required, which limit the area for routing of tracks. Therefore, alternative dielectric materials, which can be structured photolithograpically, by plasma etching or laser drilling, are very attractive for MCM‐L technology. In this paper an epoxy resin layer, commercially available as a solder mask, is investigated as an interdielectric layer. Via hole drilling is investigated using an excimer laser. To show process feasibility, a two‐layer wiring system is fabricated using the excimer laser structured epoxy resin as an interdielectric layer on conventional epoxy board (FR‐4).

Purpose – As researchers need partners to collaborate with, this study aims to provide author recommendation for academic researchers for potential collaboration, conference planning, and compilation of scientific working groups with the help of social information. Hereby the chapter analyzes and compares different similarity metrics in information and computer science.

Methodology/approach – The study uses data from the multidiscipline information services Web of Science and Scopus as well as the social bookmarking service CiteULike to measure author similarity and recommend researchers to unique target researchers. The similarity approach is based on author co-citation, bibliographic coupling of authors and collaborative filtering methods. The developed clusters and graphs are then evaluated by these target researchers.

Findings – The analysis shows, for example, that different methods for social recommendation complement each other and that the researchers evaluated user- and tag-based data from a social bookmarking system positively.

Research limitations/implications – The present study, providing author recommendation for six target physicists, is supposed to be a starting point for further approaches on social academic author recommendation.

Practical implications – The chapter investigates in recommendation methods and similarity algorithm models as basis for an implementation of a social recommendation system for researchers in academics and knowledge-intensive organizations.

Originality/value of chapter – The comparison of different similarity measurements and the user evaluation provide new insights into the construction of social data mining and the investigation of personalized recommendation.

Mention Sindelfingen to anyone involved in the electronics industry and they spontaneously refer to IBM, who have a major presence in the Sindelfingen/Böblingen area. To many others, it immediately springs to mind as the ‘home’ of Daimler‐Benz. The district is, however, far from totally industrialised, as coniferous forests clothing the hillside and lining a stretch of the Autobahn offer superb scope for weekend walks in the environs of this small town to the south‐west of Stuttgart.

Interest in employee mindfulness has increased dramatically in recent years, fueled by several important conceptual articles, numerous studies documenting the benefits of mindfulness for employee outcomes, and the adoption of mindfulness-based practices in many Fortune 500 organizations. Despite this growing interest, the vast majority of research on employee mindfulness has taken an intrapersonal focus, failing to appreciate the ways in which mindfulness may enhance work-related relational processes and outcomes. The authors explore possible associations between mindfulness and relationally oriented workplace phenomena, drawing from interdisciplinary scholarship examining mindfulness in romantic relationships, child–parent relationships, patient–healthcare provider relationships, and student–teacher relationships. A framework is proposed that links mindfulness to three distinct relationally oriented processes, which are expected to have downstream effects on work-related relational outcomes. The authors then take the proposed framework and discuss possible extensions to a variety of unique workplace relationships and discuss critical next steps in advancing the relational science of mindfulness.

To measure adolescent girls’ preferences over features of human papillomavirus (HPV) vaccines in order to provide quantitative estimates of the perceived benefits of vaccination and potential vaccine uptake.

A discrete choice experiment (DCE) survey was developed to measure adolescent girls’ preferences over features of HPV vaccines. The survey was fielded to a U.S. sample of 307 girls aged 13–17 years who had not yet received an HPV vaccine in June 2008.

In a latent class logit model, two distinct groups were identified – one with strong preferences against vaccination which largely did not differentiate between vaccine features, and another that was receptive to vaccination and had well-defined preferences over vaccine features. Based on the mean estimates over the entire sample, we estimate that girls’ valuation of bivalent and quadrivalent HPV vaccines ranged between $400 and $460 in 2008, measured as willingness-to-pay (WTP). The additional value of genital warts protection was $145, although cervical cancer efficacy was the most preferred feature. We estimate maximum uptake of 54–65%, close to the 53% reported for one dose in 2011 surveillance data, but higher than the 35% for three doses in surveillance data.

We conclude that adolescent girls do form clear opinions and some place significant value on HPV vaccination, making research on their preferences vital to understanding the determinants of HPV vaccine demand.

DCE studies may be used to design more effective vaccine-promotion programs and for reassessing public health recommendations and guidelines as new vaccines are made available.

Acute and chronic pain affects more Americans than heart disease, diabetes, and cancer combined. Conservative estimates suggest the total economic cost of pain in the United States is $600 billion, and more than half of this cost is due to lost productivity, such as absenteeism, presenteeism, and turnover. In addition, an escalating opioid epidemic in the United States and abroad spurred by a lack of safe and effective pain management has magnified challenges to address pain in the workforce, particularly the military. Thus, it is imperative to investigate the organizational antecedents and consequences of pain and prescription opioid misuse (POM). This chapter provides a brief introduction to pain processing and the biopsychosocial model of pain, emphasizing the relationship between stress, emotional well-being, and pain in the military workforce. We review personal and organizational risk and protective factors for pain, such as post-traumatic stress disorder, optimism, perceived organizational support, and job strain. Further, we discuss the potential adverse impact of pain on organizational outcomes, the rise of POM in military personnel, and risk factors for POM in civilian and military populations. Lastly, we propose potential organizational interventions to mitigate pain and provide the future directions for work, stress, and pain research.