Open And Big Data Management And Innovation
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Open And Big Data Management And Innovation
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Author : Marijn Janssen
language : en
Publisher: Springer
Release Date : 2015-10-08
Open And Big Data Management And Innovation written by Marijn Janssen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-08 with Computers categories.
This book constitutes the refereed conference proceedings of the 14th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2015, held in Delft, The Netherlands, in October 2015. The 40 revised full papers presented together with 1 keynote panel were carefully reviewed and selected from 65 submissions. They are organized in the following topical sections: adoption; big and open data; e-business, e-services,, and e-society; and witness workshop.
The Elements Of Big Data Value
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Author : Edward Curry
language : en
Publisher: Springer Nature
Release Date : 2021-08-01
The Elements Of Big Data Value written by Edward Curry and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-01 with Computers categories.
This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.
Managing Digital Open Innovation
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Author : Pierre-jean Barlatier
language : en
Publisher: World Scientific
Release Date : 2020-05-13
Managing Digital Open Innovation written by Pierre-jean Barlatier and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-13 with Technology & Engineering categories.
Recent developments of Internet-based digital technologies have revealed a huge potential of developing open, collaborative and network-centred innovation. However, firms face major challenges in using new technologies for rapid prototyping, data-mining, simulation, visualization, etc. to support their Open Innovation strategies.Responding to the need for further conceptual and empirical research on technology-enhanced open innovation, this book provides fresh and topical insights on how firms from different sectors have successfully implemented digital technologies for Open Innovation. Based on rich empirical data, this book discusses the benefits and drawbacks, the processes, the characteristics and the management practices of ICT-driven Open Innovation in private as well as public organizations.
Knowledge Management Innovation And Big Data
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Author : Patricia Ordóñez de Pablos
language : en
Publisher: MDPI
Release Date : 2019-12-31
Knowledge Management Innovation And Big Data written by Patricia Ordóñez de Pablos and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-31 with Social Science categories.
The evolution of knowledge management theory and the special emphasis on human and social capital sets new challenges for knowledge-driven and technology-enabled innovation. Emerging technologies including big data and analytics have significant implications for sustainability, policy making, and competitiveness. This edited volume promotes scientific research into the potential contributions knowledge management can make to the new era of innovation and social inclusive economic growth. We are grateful to all the contributors of this edition for their intellectual work. The organization of the relevant debate is aligned around three pillars: SECTION A. DATA, KNOWLEDGE, HUMAN AND SOCIAL CAPITAL FOR INNOVATION We elaborate on the new era of knowledge types and the emerging forms of social capital and their impact on technology-driven innovation. Topics include: · Social Networks · Smart Education · Social Capital · Corporate Innovation · Disruptive Innovation · Knowledge integration · Enhanced Decision-Making. SECTION B. KNOWLEDGE MANAGEMENT & BIG DATA ENABLED INNOVATION In this section, knowledge management and big data applications and systems are presented. Selective topic include: · Crowdsourcing Analysis · Natural Language Processing · Data Governance · Knowledge Extraction · Ontology Design Semantic Modeling SECTION C. SUSTAINABLE DEVELOPMENT In the section, the debate on the impact of knowledge management and big data research to sustainability is promoted with integrative discussion of complementary social and technological factors including: · Big Social Networks on Sustainable Economic Development · Business Intelligence
Data Driven Innovation Big Data For Growth And Well Being
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2015-10-06
Data Driven Innovation Big Data For Growth And Well Being written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-06 with categories.
This report improves the evidence base on the role of Data Driven Innovation for promoting growth and well-being, and provide policy guidance on how to maximise the benefits of DDI and mitigate the associated economic and societal risks.
Big Data And Innovation In Tourism Travel And Hospitality
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Author : Marianna Sigala
language : en
Publisher: Springer
Release Date : 2019-02-26
Big Data And Innovation In Tourism Travel And Hospitality written by Marianna Sigala and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-26 with Business & Economics categories.
This book brings together multi-disciplinary research and practical evidence about the role and exploitation of big data in driving and supporting innovation in tourism. It also provides a consolidated framework and roadmap summarising the major issues that both researchers and practitioners have to address for effective big data innovation. The book proposes a process-based model to identify and implement big data innovation strategies in tourism. This process framework consists of four major parts: 1) inputs required for big data innovation; 2) processes required to implement big data innovation; 3) outcomes of big data innovation; and 4) contextual factors influencing big data exploitation and advances in big data exploitation for business innovation.
New Horizons For A Data Driven Economy
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Author : José María Cavanillas
language : en
Publisher: Springer
Release Date : 2018-04-19
New Horizons For A Data Driven Economy written by José María Cavanillas and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-19 with Computers categories.
In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.
Ai And Big Data S Potential For Disruptive Innovation
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Author : Strydom, Moses
language : en
Publisher: IGI Global
Release Date : 2019-09-27
Ai And Big Data S Potential For Disruptive Innovation written by Strydom, Moses and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-27 with Computers categories.
Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions.
Digital Innovation Harnessing The Value Of Open Data
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Author : Anne-laure Mention
language : en
Publisher: World Scientific
Release Date : 2019-06-17
Digital Innovation Harnessing The Value Of Open Data written by Anne-laure Mention and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-17 with Business & Economics categories.
Digital innovation — involving the Internet, its content and ecosystems of global users — is a rapidly evolving way of creating strategic and societal value. The phenomenon of Open data is on the rise and transforming the fundamental nature of how many industries, companies and governments connect with each other and the end-users of products and services — from increased customer-centric innovations, to winning political campaigns, and managing public health concerns. Open data holds the promise of greater transparency, greater accountability and empowerment of stakeholders. Yet curating and publicly sharing data can be difficult, requires substantive investments in knowledge infrastructures and incentives to do so are not well understood. Who is driving and enabling the open data movement? What motivates organizations to release data and how are they using it to create value? What are the current challenges and how are they being mitigated? What are the decision-frames adopted for sharing data? What are the possible applications and lessons to be learnt from current practices? What is the role of organisational ingredients and culture as a catalyst for adopting and facilitating open data practices? What is the possible impact of semantic web application? By exploring the multiple dimensions of open data and the interplay of economic utility, governance, societal values of fairness and trust, this volume seeks to entice readers by providing evidence-based answers to these questions, among others. Readers are tempted to a progressively revealing and enlightening journey from the conceptualisation to cultural proliferation of the latest trends in knowledge management: open data.Digital Innovation: Harnessing the Value of Open Data draws on practical experiences, bringing together widely distributed and latest knowledge of open data practices as case studies from researchers, academics, industry leaders, policy advisors and practitioners. In exploring the economics and technology paradigms, data governance and management practices of digital-centric private and public organizations, this volume sheds light on why there exists a need to embrace open data, what is needed to optimize the value of open data in driving digital innovation and how it is being currently conceived. The book draws a thought-provoking conclusion on open data as a purpose-driven phenomenon, with its disparate applications in a world of where global convergence on information sharing, storing and management are increasingly becoming a norm.Related Link(s)
Big Data Analytics A Management Perspective
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Author : Francesco Corea
language : en
Publisher: Springer
Release Date : 2016-05-24
Big Data Analytics A Management Perspective written by Francesco Corea and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-24 with Technology & Engineering categories.
This book is about innovation, big data, and data science seen from a business perspective. Big data is a buzzword nowadays, and there is a growing necessity within practitioners to understand better the phenomenon, starting from a clear stated definition. This book aims to be a starting reading for executives who want (and need) to keep the pace with the technological breakthrough introduced by new analytical techniques and piles of data. Common myths about big data will be explained, and a series of different strategic approaches will be provided. By browsing the book, it will be possible to learn how to implement a big data strategy and how to use a maturity framework to monitor the progress of the data science team, as well as how to move forward from one stage to the next. Crucial challenges related to big data will be discussed, where some of them are more general - such as ethics, privacy, and ownership – while others concern more specific business situations (e.g., initial public offering, growth strategies, etc.). The important matter of selecting the right skills and people for an effective team will be extensively explained, and practical ways to recognize them and understanding their personalities will be provided. Finally, few relevant technological future trends will be acknowledged (i.e., IoT, Artificial intelligence, blockchain, etc.), especially for their close relation with the increasing amount of data and our ability to analyse them faster and more effectively.