Abstract
The emergence of complex supply chains is one of the most important consequences of globalization. The management of these supply chains requires increased efforts by organizations that, on one hand, are increasingly pressured by customers in terms of service levels, on the other hand, must manage their suppliers from various locations and with different local requirements. In this context, an appropriate management of information flows is needed to create the adequate visibility level for managing supply chain risk. This chapter presents an overview on the concepts of risk management, visibility and information management in supply chains. This study proposes a conceptual framework for the selection of risk mitigation strategies in the supply chain and characterizes the external and internal information flows decision makers need to implement two categories of risk mitigation strategies: redundancy and flexibility. © 2018, IGI Global.

Abstract
Technological evolution impacts the research and development of new solutions, as well as consumers’ expectations and behaviors. With the advent of the new millennium, collaboration systems and technologies were introduced to support ordinary cooperative work and inter-dependent, socially and culturally mediated practices as integral units of everyday life settings. Nevertheless, existing classification systems are limited in scope to analyze technological developments and capture the intellectual structure of a field, understood as an abstraction of the collective knowledge of its researchers and their socially mediated activities. Ten years after the introduction of Mittleman et al.’s taxonomy, we build upon earlier work and adopt this classification scheme to provide a descriptive, taxonomy-based analysis of four distinct venues focused on collaborative computing research: ACM CSCW, ACM GROUP, ECSCW, and CRIWG. The proposal consists of achieving evidence on technical attributes and impacts towards characterizing the evolution of socio-technical systems via (and for) taxonomic modeling. This study can also constitute an important step towards the emergence of new, potentially more valid and robust evaluation studies combining Grounded Theory with alternative methods and techniques.

Abstract
We present Dolphin, an extensible programming language for autonomous vehicle networks. A Dolphin program expresses an orchestrated execution of tasks defined compositionally for multiple vehicles. Building upon the base case of elementary one-vehicle tasks, the built-in operators include support for composing tasks in several forms, for instance according to concurrent, sequential, or event-based task flow. The language is implemented as a Groovy DSL, facilitating extension and integration with external software packages, in particular robotic toolkits. The paper describes the Dolphin language, its integration with an open-source toolchain for autonomous vehicles, and results from field tests using unmanned underwater vehicles (UUVs) and unmanned aerial vehicles (UAVs).

Abstract

Abstract
The market's evolution and ever-increasing competitiveness forces organizations to find new ways to reinvent themselves. According to the principles of the Service Dominant (SD) Logic, it is argued that Service Innovation depends on the participation of all the direct actors in any given organization, focusing on its employees as key elements for delivering the brand promise made to the consumer, regardless of any eventual direct contact between them. The success of organizations relies on their growth capability and, for this reason, the measurement of investments is fundamental to the business strategy. Thus, the tangibility of the Internal Brand Management (IBM) is essential in management decisions, only possible through the construction of Key Performance Indicators (KPI). Given the intangibility inherent to the processes of brand building, brand promise delivery and service co-creation, which are directly dependent on the definition of the business strategy, the present article proposes a method to create KPIs with the aim of understanding the alignment of employees in relation to the business strategy. Based on a literature review, which corroborates the relevance of the theme, a case study is presented on a multinational Business-to-Business (B2B) organization. Using a mixed methodology, the research is divided into two moments: 1) A qualitative analysis which a) Identifies the strategic categories of the organization being studied, b) Evaluates the focus given to those main categories through the most important internal brand dissemination documents and c) Organizes the Employee Satisfaction Questionnaire based on those same categories; 2) A quantitative analysis to evaluate the results of the alignment of the Employee Satisfaction Questionnaires' answers with those strategic categories previously referred to for the period 2011 to 2017. Therefore, it is suggested that all organizations have tangible information that allows the identification of KPIs to serve IBM. However, traditionally, there is no objective systematization of these indicators, which could lead to the measurement of the employees' alignment under this perspective.

Abstract
This article discusses how a business model based on traditional maintenance can evolve to generate servitization strategies, with the help of remote maintenance support. The application of cyber-physical systems and cloud technologies play a key role for such maintenance purposes. In fact, the utilization of large quantities of data collected on machines and their processing by means of advanced techniques such as machine learning enable novel techniques for condition-based maintenance. New sensor solutions that could be used in maintenance and interaction with cyber-physical systems are also presented. Here, data models are an important part of these techniques because of the huge amounts of data that are produced and should be processed. These data models have been used in a real case, supported by the Machinery Information Management Open System Alliance Open System Architecture for Condition-Based Maintenance standard architecture, for streamlining the modeling of collected data. In this context, an industrial use case is described, to enlighten the application of the presented concepts in a working pilot. Finally, current and future directions for application of cyber-physical systems and cloud technologies to maintenance are discussed.