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This SpringerBrief discusses multiple forms of open-source-inspired outsourcing: opensourcing, innersourcing and crowdsourcing. It uses a framework-based comparison to explain the strengths and weaknesses of each approach. By pointing out characteristics along with benefits and pitfalls of each approach, the authors provide nuanced and research-based advice to managers and developers facing software sourcing decisions. The differences and commonalities of these three emerging approaches are carefully analyzed. Chapters explore the primary challenges of reliability, efficiency and robustness in open-source methods. Examples from industrial cases are included, along with extensive references to recent research. The brief concludes with a comparative analysis of approaches and outlines key implications to be aware of when outsourcing. Software Sourcing in the Age of Open: Leveraging the Unknown Workforce is designed for professionals and researchers interested in outsourcing challenges. The content is also suitable for postgraduate students interested in contemporary software sourcing approaches.
Computer Science. --- Software Engineering. --- IT in Business. --- Industrial Organization. --- Organization/Planning. --- Computer science. --- Software engineering. --- Industrial organization (Economic theory). --- Business planning. --- Informatique --- Génie logiciel --- Economie industrielle --- Projet d'entreprise --- Industrial organization (Economi. --- Management information systems. --- Engineering & Applied Sciences --- Computer Science --- Computer software --- Open source software. --- Human computation. --- Development. --- Crowdsourcing --- Human-based computation --- Human computation systems --- Computer software engineering --- Free software (Open source software) --- Open code software --- Opensource software --- Development of computer software --- Software development --- Organization. --- Planning. --- Information technology. --- Business --- Industrial organization. --- Data processing. --- Engineering --- Crowdsourcing (Distributed artificial intelligence) --- Distributed artificial intelligence --- Human-computer interaction --- Organisation --- Management --- Industries --- Organization --- Industrial concentration --- Industrial management --- Industrial sociology --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Business—Data processing. --- Creation (Literary, artistic, etc.) --- Executive ability
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This book attempts to link some of the recent advances in crowdsourcing with advances in innovation and management. It contributes to the literature in several ways. First, it provides a global definition, insights and examples of this managerial perspective resulting in a theoretical framework. Second, it explores the relationship between crowdsourcing and technological innovation, the development of social networks and new behaviors of Internet users. Third, it explores different crowdsourcing applications in various sectors such as medicine, tourism, information and communication technology (ICT), and marketing. Fourth, it observes the ways in which crowdsourcing can improve production, finance, management and overall managerial performance. Crowdsourcing, also known as “massive outsourcing” or “voluntary outsourcing,” is the act of taking a job or a specific task usually performed by an employee of a company or contractors, and outsourcing it to a large group of people or a community (crowd or mass) via the Internet, through an open call. The term was coined by Jeff Howe in a 2006 issue of Wired magazine. It is being developed in different sciences (i.e., medicine, engineering, ICT, management) and is used in the most successful companies of the modern era (i.e., Apple, Facebook, Inditex, Starbucks). The developments in crowdsourcing has theoretical and practical implications, which will be explored in this book. Including contributions from international academics, scholars and professionals within the field, this book provides a global, multidimensional perspective on crowdsourcing.
Economics/Management Science. --- Innovation/Technology Management. --- Entrepreneurship. --- IT in Business. --- Economics. --- Economie politique --- Entrepreneuriat --- Management information systems. --- Management --- Business & Economics --- Management Theory --- Human-computer interaction. --- Human computation. --- Crowdsourcing. --- Crowdsourcing --- Human-based computation --- Human computation systems --- Computer-human interaction --- Human factors in computing systems --- Interaction, Human-computer --- Business. --- Management. --- Industrial management. --- Information technology. --- Business --- Business and Management. --- Data processing. --- Electronic data processing --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Industrial organization --- Administration --- Industrial relations --- Organization --- Entrepreneur --- Intrapreneur --- Capitalism --- Business incubators --- Trade --- Economics --- Commerce --- Industrial management --- Crowdsourcing (Distributed artificial intelligence) --- Distributed artificial intelligence --- Human-computer interaction --- Human engineering --- User-centered system design --- User interfaces (Computer systems) --- Business—Data processing.
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