Software engineering education has a problem: universities and bootcamps teach aspiring engineers to write code, but they leave graduates to teach themselves the countless supporting tools required to thrive in real software companies. Building a Career in Software is the solution, a comprehensive guide to the essential skills that instructors don't need and professionals never think to teach: landing jobs, choosing teams and projects, asking good questions, running meetings, going on-call, debugging production problems, technical writing, making the most of a mentor, and much more. In over a decade building software at companies such as Apple and Uber, Daniel Heller has mentored and managed tens of engineers from a variety of training backgrounds, and those engineers inspired this book with their hundreds of questions about career issues and day-to-day problems. Designed for either random access or cover-to-cover reading, it offers concise treatments of virtually every non-technical challenge you will face in the first five years of your career-as well as a selection of industry-focused technical topics rarely covered in training. Whatever your education or technical specialty, Building a Career in Software can save you years of trial and error and help you succeed as a real-world software professional. What You Will Learn Discover every important nontechnical facet of professional programming as well as several key technical practices essential to the transition from student to professional Build relationships with your employer Improve your communication, including technical writing, asking good questions, and public speaking Who This Book is For Software engineers either early in their careers or about to transition to the professional world; that is, all graduates of computer science or software engineering university programs and all software engineering boot camp participants.

Blockchain technology has the potential to disrupt and transform the social media business space, but the existing literature uses complex technical jargon that prevents practitioners from taking advantage of its full potential. Nitin Upadhyay overcomes this barrier and offers a uniquely accessible discussion of how blockchain can revolutionise social media business models. His book offers an up-to-date analysis of the real benefits, usage and operationalisation aspects of blockchain and provides a systematic framework for social media business transformation through blockchain technology, all while using a simple, practical terminology. Readers learn about the utility of the blockchain ecosystem, about the innovation value proposition available to social media platforms through blockchain and about how to develop, assess and evaluate change in social media business models. Ultimately, they learn how to utilise blockchain innovation to develop a decentralised, autonomous and distributed ecosystem within the social-media space. Transforming Social Media Business Models Through Blockchain is essential reading for stakeholders associated with social media, blockchain and management, including practitioners, leaders, and scholars working with industry partners.

This book constitutes the refereed post-proceedings of the Third IFIP WG 9.7 Conference on the History of Nordic Computing, HiNC3, held in Stockholm, Sweden, in October 2010. The 50 revised full papers presented together with a keynote address and a panel discussion were carefully reviewed and selected from numerous submissions. The papers focus on the application and use of ICT and ways in which technical progress affected the conditions of the development and use of ICT systems in the Nordic countries covering a period from around 1970 until the beginning of the 1990s. They are organized in the following topical sections: computerizing public sector industries; computerizing management and financial industries; computerizing art, media, and schools; users and systems development; the making of a Nordic computing industry; Nordic networking; Nordic software development; Nordic research in software and systems development; teaching at Nordic universities; and new historiographical approaches and methodological reflections.

One of the greatest challenges in the ever-changing world of IT is to create and maintain an innovation culture and align innovation activities with company strategy. This book provides a fresh perspective on innovation management activities in an IT environment using examples from both start-ups and established companies such as Cisco, Ericsson Nikola Tesla, Lufthansa Systems, Worldline, Amdocs, Telefonica and Enea. This book addresses the following issues: The software development environment offers many possibilities for innovation, yet also places some constraints on the innovation process at the same time. It considers how this can be bypassed to bring success to the company. It is a challenge to create and maintain an innovation culture using an agile process in the area of software development with its short cycles. This book describes how to bring innovation challenges closer to developers and use their experience and vision to create new projects. It also shows how to inspire software engineers using incremental and often small but useful money-saving improvements. The fourth industrial revolution changes companies from the inside and brings changes to common agile product management processes in IT. This book examines the effects on innovation management and what mechanisms are used for success in this new environment.

Cyber Security Management: A Governance, Risk and Compliance Framework by Peter Trim and Yang-Im Lee has been written for a wide audience. Derived from research, it places security management in a holistic context and outlines how the strategic marketing approach can be used to underpin cyber security in partnership arrangements. The book is unique because it integrates material that is of a highly specialized nature but which can be interpreted by those with a non-specialist background in the area. Indeed, those with a limited knowledge of cyber security will be able to develop a comprehensive understanding of the subject and will be guided into devising and implementing relevant policy, systems and procedures that make the organization better able to withstand the increasingly sophisticated forms of cyber attack. The book includes a sequence-of-events model; an organizational governance framework; a business continuity management planning framework; a multi-cultural communication model; a cyber security management model and strategic management framework; an integrated governance mechanism; an integrated resilience management model; an integrated management model and system; a communication risk management strategy; and recommendations for counteracting a range of cyber threats. Cyber Security Management: A Governance, Risk and Compliance Framework simplifies complex material and provides a multi-disciplinary perspective and an explanation and interpretation of how managers can manage cyber threats in a pro-active manner and work towards counteracting cyber threats both now and in the future.

The Fourth Industrial Revolution is a global development that shows no signs of slowing down. In his book, The Workplace of the Future: The Fourth Industrial Revolution, the Precariat and the Death of Hierarchies, Jon-Arild Johannessen sets a chilling vision of how robots and artificial intelligence will completely disrupt and transform working life. The author contests that once the dust has settled from the Fourth Industrial Revolution, workplaces and professions will be unrecognizable and we will see the rise of a new social class: the precariat. We will live side by side with the 'working poor' - people who have several jobs, but still can't make ends meet. There will be a small salaried elite consisting of innovation and knowledge workers. Slightly further into the future, there will be a major transformation in professional environments. Johannessen also presents a typology for the precariat, the uncertain work that is created and develops a framework for the working poor, as well as for future innovation and knowledge workers, and sets out a new structure for the social hierarchy. A fascinating and thought-provoking insight into the impact of the Fourth Industrial Revolution, The Workplace of the Future will be of interest to professionals and academics alike. The book is particularly suited to academic courses in management, economy, political science and social sciences.

This book studies the motivation of crowdworkers to find out how to attract more people and reach a higher quality of outcomes. The book first proposes a taxonomy for studying the motivation of crowdworkers including the potential influencing factors, different types of motivation, and possible consequences and outcomes related to the motivation. Next, the CWMS questionnaire, an instrument for measuring the underlying motivation of crowdworkers is developed. It considers different dimensions of motivation suggested by the Self-Determination Theory of motivation which is a well-established and empirically validated psychological theory used in various domains. This instrument can be used to study the effect of platform and user characteristics on the general motivation of crowdworkers. Later, the task-specific motivation of crowdworkers is studied in detail: Influencing factors are investigated, subjective methods for measuring them are evaluated, a model for predicting worker's decision on taking a task is proposed, the relative importance of different factors for two populations of crowdworkers is studied, and finally, a model for predicting the expected workload (as one of the major influencing factors) given the task design is proposed.

This book presents a new management model that has evolved in Silicon Valley. The future will favor companies that can migrate to a management model, better suited for the times. The abilities to remain entrepreneurial and innovate constantly will be essential for all companies in an innovation economy. However, most firms still use industrial-age management models that are not suited to attracting and energizing entrepreneurial talent. This book imbibes latest results from a year-long study of Google's approaches to management, and finds similar principles being applied at companies including, Facebook, LinkedIn, Twitter, Tesla Motors, and Apigee. By distilling on the aspects that work across a variety of innovative firms, the authors present a synthesis that could have profound implications for managers everywhere.

This book examines the role of transnational advocacy networks in enabling effective participation for individual citizens in the deliberative processes of global governance. Contextualized around the international conference setting of the United Nations-sponsored World Summit on the Information Society (WSIS) in 2003 and 2005, the book sees epistemic communities and information and communication technologies (ICTs) as critical to the effectiveness of this important organizational form. Historically, governments have dominated the official "conference diplomacy" surrounding these World Summits. However, reflecting the UN General Assembly resolution authorizing WSIS, transnational civil society and private sector organizations were invited to participate as official partners in a multistakeholder dialogue at the summit alongside the more traditional governments and international organizations. This book asks: are transnational advocacy networks active in the global information society influential partners in these global governance processes, or merely symbolic tokens-or pawns? Cogburn explores the factors that enabled some networks-such as the Internet Governance Caucus-to persist and thrive, while others failed, and sees linkages with epistemic communities-such as the Global Internet Governance Academic Network-and ICTs as critical to network effectiveness.

This book presents a collection of interrelated research advances in the field of technological entrepreneurship from the perspective of competition in emerging markets. Featuring contributions by scholars from different fields of interest, it provides a mix of theoretical developments, insights and research methods used to uncover the unexplored aspects of competitiveness in emerging markets in an age characterized by disruptive technologies.

This richly illustrated book provides an easy-to-read introduction to the challenges of organizing and integrating modern data worlds, explaining the contribution of public statistics and the ISO standard SDMX (Statistical Data and Metadata Exchange). As such, it is a must for data experts as well those aspiring to become one. Today, exponentially growing data worlds are increasingly determining our professional and private lives. The rapid increase in the amount of globally available data, fueled by search engines and social networks but also by new technical possibilities such as Big Data, offers great opportunities. But whatever the undertaking - driving the block chain revolution or making smart phones even smarter - success will be determined by how well it is possible to integrate, i.e. to collect, link and evaluate, the required data. One crucial factor in this is the introduction of a cross-domain order system in combination with a standardization of the data structure. Using everyday examples, the authors show how the concepts of statistics provide the basis for the universal and standardized presentation of any kind of information. They also introduce the international statistics standard SDMX, describing the profound changes it has made possible and the related order system for the international statistics community.

This book constitutes the refereed proceedings of the 9th International Conference on Software Business, ICSOB 2018, held in Tallinn, Estonia, in June 2018. This year the conference theme was "How Digitalization Impacts Software Business" and focused on digitalization and its impact on the speed of business models and business modeling and the realization of these business models. The 11 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 34 submissions. They were organized in topical sections named: software ecosystems; software product management and business models; and software start-ups.

The two-volume set IFIP AICT 535 and 536 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2018, held in Seoul, South Korea, in August 2018. The 129 revised full papers presented were carefully reviewed and selected from 149 submissions. They are organized in the following topical sections: lean and green manufacturing; operations management in engineer-to-order manufacturing; product-service systems, customer-driven innovation and value co-creation; collaborative networks; smart production for mass customization; global supply chain management; knowledge based production planning and control; knowledge based engineering; intelligent diagnostics and maintenance solutions for smart manufacturing; service engineering based on smart manufacturing capabilities; smart city interoperability and cross-platform implementation; manufacturing performance management in smart factories; industry 4.0 - digital twin; industry 4.0 - smart factory; and industry 4.0 - collaborative cyber-physical production and human systems.

This volume comprises a selection of works presented at the Numerical and Evolutionary Optimization (NEO) workshop held in September 2015 in Tijuana, Mexico. The development of powerful search and optimization techniques is of great importance in today's world that requires researchers and practitioners to tackle a growing number of challenging real-world problems. In particular, there are two well-established and widely known fields that are commonly applied in this area: (i) traditional numerical optimization techniques and (ii) comparatively recent bio-inspired heuristics. Both paradigms have their unique strengths and weaknesses, allowing them to solve some challenging problems while still failing in others. The goal of the NEO workshop series is to bring together people from these and related fields to discuss, compare and merge their complimentary perspectives in order to develop fast and reliable hybrid methods that maximize the strengths and minimize the weaknesses of the underlying paradigms. Through this effort, we believe that the NEO can promote the development of new techniques that are applicable to a broader class of problems. Moreover, NEO fosters the understanding and adequate treatment of real-world problems particularly in emerging fields that affect us all such as health care, smart cities, big data, among many others. The extended papers the NEO 2015 that comprise this book make a contribution to this goal.

This book summarizes the results of Design Thinking Research carried out at Stanford University in Palo Alto, California, USA and at the Hasso Plattner Institute in Potsdam, Germany. Offering readers a closer look at Design Thinking, its innovation processes and methods, the book covers topics ranging from how to design ideas, methods and technologies, to creativity experiments and wicked problem solutions, to creative collaboration in the real world, and the interplay of designers and engineers. But the topics go beyond this in their detailed exploration of Design Thinking and its use in IT systems engineering fields, or even from a management perspective. The authors show how these methods and strategies actually work in companies, introduce new technologies and their functions, and demonstrate how Design Thinking can influence such unexpected topics as marriage. Furthermore, readers will learn how special-purpose Design Thinking can be used to solve wicked problems in complex fields. Thinking and devising innovations are fundamentally and inherently human activities - so is Design Thinking. Accordingly, Design Thinking is not merely the result of special courses nor of being gifted or trained: it's a way of dealing with our environment and improving techniques, technologies and life.

This book reports on the results of an interdisciplinary and multidisciplinary workshop on provenance that brought together researchers and practitioners from different areas such as archival science, law, information science, computing, forensics and visual analytics that work at the frontiers of new knowledge on provenance. Each of these fields understands the meaning and purpose of representing provenance in subtly different ways. The aim of this book is to create cross-disciplinary bridges of understanding with a view to arriving at a deeper and clearer perspective on the different facets of provenance and how traditional definitions and applications may be enriched and expanded via an interdisciplinary and multidisciplinary synthesis. This volume brings together all of these developments, setting out an encompassing vision of provenance to establish a robust framework for expanded provenance theory, standards and technologies that can be used to build trust in financial and other types of information.

This volume focuses on the theory and practice of data stream management, and the novel challenges this emerging domain poses for data-management algorithms, systems, and applications. The collection of chapters, contributed by authorities in the field, offers a comprehensive introduction to both the algorithmic/theoretical foundations of data streams, as well as the streaming systems and applications built in different domains. A short introductory chapter provides a brief summary of some basic data streaming concepts and models, and discusses the key elements of a generic stream query processing architecture. Subsequently, Part I focuses on basic streaming algorithms for some key analytics functions (e.g., quantiles, norms, join aggregates, heavy hitters) over streaming data. Part II then examines important techniques for basic stream mining tasks (e.g., clustering, classification, frequent itemsets). Part III discusses a number of advanced topics on stream processing algorithms, and Part IV focuses on system and language aspects of data stream processing with surveys of influential system prototypes and language designs. Part V then presents some representative applications of streaming techniques in different domains (e.g., network management, financial analytics). Finally, the volume concludes with an overview of current data streaming products and new application domains (e.g. cloud computing, big data analytics, and complex event processing), and a discussion of future directions in this exciting field. The book provides a comprehensive overview of core concepts and technological foundations, as well as various systems and applications, and is of particular interest to students, lecturers and researchers in the area of data stream management.

This book aims to identify promising future developmental opportunities and applications for Tech Mining. Specifically, the enclosed contributions will pursue three converging themes: The increasing availability of electronic text data resources relating to Science, Technology and Innovation (ST&I). The multiple methods that are able to treat this data effectively and incorporate means to tap into human expertise and interests. Translating those analyses to provide useful intelligence on likely future developments of particular emerging S&T targets. Tech Mining can be defined as text analyses of ST&I information resources to generate Competitive Technical Intelligence (CTI). It combines bibliometrics and advanced text analytic, drawing on specialized knowledge pertaining to ST&I. Tech Mining may also be viewed as a special form of "Big Data" analytics because it searches on a target emerging technology (or key organization) of interest in global databases. One then downloads, typically, thousands of field-structured text records (usually abstracts), and analyses those for useful CTI. Forecasting Innovation Pathways (FIP) is a methodology drawing on Tech Mining plus additional steps to elicit stakeholder and expert knowledge to link recent ST&I activity to likely future development. A decade ago, we demeaned Management of Technology (MOT) as somewhat self-satisfied and ignorant. Most technology managers relied overwhelmingly on casual human judgment, largely oblivious of the potential of empirical analyses to inform R&D management and science policy. CTI, Tech Mining, and FIP are changing that. The accumulation of Tech Mining research over the past decade offers a rich resource of means to get at emerging technology developments and organizational networks to date. Efforts to bridge from those recent histories of development to project likely FIP, however, prove considerably harder. One focus of this volume is to extend the repertoire of information resources; that will enrich FIP. Featuring cases of novel approaches and applications of Tech Mining and FIP, this volume will present frontier advances in ST&I text analytics that will be of interest to students, researchers, practitioners, scholars and policy makers in the fields of R&D planning, technology management, science policy and innovation strategy.

This book offers a strategic analysis of current and future perspectives of Foreign Direct Investment (FDI) inflows into the South East European media market. The author develops a hybrid FDI business model strategy to guide media companies wishing to more effectively position and leverage their media infrastructure within the increasingly globalized and expanding media market. By conducting sixteen comparative and exploratory case studies of the South East European media market, the author explores how specific microeconomic factors influence spillover effects, absorption capacities and investment incentives between local and foreign firms through FDI inflows. The book is directed towards researchers and students, as well as practitioners/professionals involved with media organizations.

This book provides a summary of the manifold audio- and web-based approaches to music information retrieval (MIR) research. In contrast to other books dealing solely with music signal processing, it addresses additional cultural and listener-centric aspects and thus provides a more holistic view. Consequently, the text includes methods operating on features extracted directly from the audio signal, as well as methods operating on features extracted from contextual information, either the cultural context of music as represented on the web or the user and usage context of music. Following the prevalent document-centered paradigm of information retrieval, the book addresses models of music similarity that extract computational features to describe an entity that represents music on any level (e.g., song, album, or artist), and methods to calculate the similarity between them. While this perspective and the representations discussed cannot describe all musical dimensions, they enable us to effectively find music of similar qualities by providing abstract summarizations of musical artifacts from different modalities. The text at hand provides a comprehensive and accessible introduction to the topics of music search, retrieval, and recommendation from an academic perspective. It will not only allow those new to the field to quickly access MIR from an information retrieval point of view but also raise awareness for the developments of the music domain within the greater IR community. In this regard, Part I deals with content-based MIR, in particular the extraction of features from the music signal and similarity calculation for content-based retrieval. Part II subsequently addresses MIR methods that make use of the digitally accessible cultural context of music. Part III addresses methods of collaborative filtering and user-aware and multi-modal retrieval, while Part IV explores current and future applications of music retrieval and recommendation.>

This book provides an empirical and philosophical investigation of self-tracking practices. In recent years, there has been an explosion of apps and devices that enable the data capturing and monitoring of everyday activities, behaviours and habits. Encouraged by movements such as the Quantified Self, a growing number of people are embracing this culture of quantification and tracking in the spirit of improving their health and wellbeing. The aim of this book is to enhance understanding of this fast-growing trend, bringing together scholars who are working at the forefront of the critical study of self-tracking practices. Each chapter provides a different conceptual lens through which one can examine these practices, while grounding the discussion in relevant empirical examples. From phenomenology to discourse analysis, from questions of identity, privacy and agency to issues of surveillance and tracking at the workplace, this edited collection takes on a wide, and yet focused, approach to the timely topic of self-tracking. It constitutes a useful companion for scholars, students and everyday users interested in the Quantified Self phenomenon.