Sustainable Development Through Data Analytics And Innovation

Author : Jorge Marx Gómez
Publisher : Springer Nature
ISBN 13 : 3031125274
Total Pages : 195 pages
Book Rating : 4.70/5 ( download)

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Download or read book Sustainable Development Through Data Analytics and Innovation written by Jorge Marx Gómez and published by Springer Nature. This book was released on 2022-09-26 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sustainable development is based on the idea that societies should advance without compromising their future development requirements. This book explores how the application of data analytics and digital technologies can ensure that development changes are executed on the basis of factual data and information. It addresses how innovations that rely on digital technologies can support sustainable development across all sectors and all social, economic, and environmental aspects and help us achieve the Sustainable Development Goals (SDGs). The book also highlights techniques, processes, models, tools, and practices used to achieve sustainable development through data analysis. The various topics covered in this book are critically evaluated, not only theoretically, but also from an application perspective. It will be of interest to researchers and students, especially those in the fields of applied data analytics, business intelligence and knowledge management.

Author : Vikram Bali
Publisher : Springer Nature
ISBN 13 : 9811916896
Total Pages : 332 pages
Book Rating : 4.92/5 ( download)

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Download or read book Decision Analytics for Sustainable Development in Smart Society 5.0 written by Vikram Bali and published by Springer Nature. This book was released on 2022-06-23 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers sustainable development in smart society’s 5.0 using data analytics. The data analytics is the approach of integrating diversified heterogeneous data for predictive analysis to accredit innovation, decision making, business analysis, and strategic decision making. The data science brings together the research in the field of data analytics, online information analytics, and big data analytics to synthesize issues, challenges, and opportunities across smart society 5.0. Accordingly, the book offers an interesting and insightful read for researchers in the areas of decision analytics, cognitive analytics, big data analytics, visual analytics, text analytics, spatial analytics, risk analytics, graph analytics, predictive analytics, and analytics-enabled applications.

Author : Elias G. Carayannis
Publisher : Springer
ISBN 13 : 1137378794
Total Pages : 288 pages
Book Rating : 4.98/5 ( download)

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Download or read book Analytics, Innovation, and Excellence-Driven Enterprise Sustainability written by Elias G. Carayannis and published by Springer. This book was released on 2017-04-19 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a unique view of how innovation and competitiveness improve when organizations establish alliances with partners who have strong capabilities and broad social capital, allowing them to create value and growth as well as technological knowledge and legitimacy through new knowledge resources. Organizational intelligence integrates the technology variable into production and business systems, establishing a basis to advance decision-making processes. When strategically integrated, these factors have the power to promote enterprise resilience, robustness, and sustainability. This book provides a unique perspective on how knowledge, information, and data analytics create opportunities and challenges for sustainable enterprise excellence. It also shows how the value of digital technology at both personal and industrial levels leads to new opportunities for creating experiences, processes, and organizational forms that fundamentally reshape organizations.

Author : Simon Elias Bibri
Publisher : Springer
ISBN 13 : 3030173127
Total Pages : 337 pages
Book Rating : 4.28/5 ( download)

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Download or read book Big Data Science and Analytics for Smart Sustainable Urbanism written by Simon Elias Bibri and published by Springer. This book was released on 2019-05-30 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications. This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holistic and integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development. This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.

Author : Sheila Jagannathan
Publisher : Routledge
ISBN 13 : 1000391221
Total Pages : 352 pages
Book Rating : 4.20/5 ( download)

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Download or read book Reimagining Digital Learning for Sustainable Development written by Sheila Jagannathan and published by Routledge. This book was released on 2021-06-22 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reimagining Digital Learning for Sustainable Development is a comprehensive playbook for education leaders, policy makers, and other key stakeholders leading the modernization of learning and development in their institutions as they build a high value knowledge economy and prepare learners for jobs that don't yet exist. Currently, nearly every aspect of human activity, including the ways we absorb and apply learning, is influenced by disruptive digital technologies. The jobs available today are no longer predicators of future employment, and current and future workforce members will need to augment their competencies through a lifetime of continuous upskilling and reskilling to meet the demands of the Fourth Industrial Revolution. This book features curated insights and real-world cases from thought leaders throughout the world and identifies major shifts in content formats, pedagogic approaches, technology frameworks, user and design experiences, and learner roles and expectations that will reshape our institutions, including those in emerging economies. The agile, lean, and cost-effective strategies proposed here will function in scalable and flexible bandwidth environments, enabling education leaders and practitioners to transform brick-and-mortar learning organizations into digital and blended ecosystems and to achieve the United Nation’s ambitious Sustainable Development Goals by 2030. Chapter 18 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.

Author : Xingxing Zhang
Publisher : Springer Nature
ISBN 13 : 9811627789
Total Pages : 450 pages
Book Rating : 4.81/5 ( download)

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Download or read book Data-driven Analytics for Sustainable Buildings and Cities written by Xingxing Zhang and published by Springer Nature. This book was released on 2021-09-11 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the interdisciplinary and transdisciplinary fields of energy systems, occupant behavior, thermal comfort, air quality and economic modelling across levels of building, communities and cities, through various data analytical approaches. It highlights the complex interplay of heating/cooling, ventilation and power systems in different processes, such as design, renovation and operation, for buildings, communities and cities. Methods from classical statistics, machine learning and artificial intelligence are applied into analyses for different building/urban components and systems. Knowledge from this book assists to accelerate sustainability of the society, which would contribute to a prospective improvement through data analysis in the liveability of both built and urban environment. This book targets a broad readership with specific experience and knowledge in data analysis, energy system, built environment and urban planning. As such, it appeals to researchers, graduate students, data scientists, engineers, consultants, urban scientists, investors and policymakers, with interests in energy flexibility, building/city resilience and climate neutrality.

Author : Simon Elias Bibri
Publisher : Springer
ISBN 13 : 3319739816
Total Pages : 660 pages
Book Rating : 4.16/5 ( download)

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Download or read book Smart Sustainable Cities of the Future written by Simon Elias Bibri and published by Springer. This book was released on 2018-02-24 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to help explore the field of smart sustainable cities in its complexity, heterogeneity, and breadth, the many faces of a topical subject of major importance for the future that encompasses so much of modern urban life in an increasingly computerized and urbanized world. Indeed, sustainable urban development is currently at the center of debate in light of several ICT visions becoming achievable and deployable computing paradigms, and shaping the way cities will evolve in the future and thus tackle complex challenges. This book integrates computer science, data science, complexity science, sustainability science, system thinking, and urban planning and design. As such, it contains innovative computer–based and data–analytic research on smart sustainable cities as complex and dynamic systems. It provides applied theoretical contributions fostering a better understanding of such systems and the synergistic relationships between the underlying physical and informational landscapes. It offers contributions pertaining to the ongoing development of computer–based and data science technologies for the processing, analysis, management, modeling, and simulation of big and context data and the associated applicability to urban systems that will advance different aspects of sustainability. This book seeks to explicitly bring together the smart city and sustainable city endeavors, and to focus on big data analytics and context-aware computing specifically. In doing so, it amalgamates the design concepts and planning principles of sustainable urban forms with the novel applications of ICT of ubiquitous computing to primarily advance sustainability. Its strength lies in combining big data and context–aware technologies and their novel applications for the sheer purpose of harnessing and leveraging the disruptive and synergetic effects of ICT on forms of city planning that are required for future forms of sustainable development. This is because the effects of such technologies reinforce one another as to their efforts for transforming urban life in a sustainable way by integrating data–centric and context–aware solutions for enhancing urban systems and facilitating coordination among urban domains. This timely and comprehensive book is aimed at a wide audience across science, academia industry, and policymaking. It provides the necessary material to inform relevant research communities of the state–of–the–art research and the latest development in the area of smart sustainable urban development, as well as a valuable reference for planners, designers, strategists, and ICT experts who are working towards the development and implementation of smart sustainable cities based on big data analytics and context–aware computing.

Author : Neha Sharma
Publisher : Springer Nature
ISBN 13 : 9813343125
Total Pages : 314 pages
Book Rating : 4.22/5 ( download)

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Download or read book Open Data for Sustainable Community written by Neha Sharma and published by Springer Nature. This book was released on 2020-12-01 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an attempt to bring value to the enterprise pursuits in the areas of research and innovation around the specific issues in terms of topic selection, open data resources and researcher orientation. Over the last 300 years, industrial revolutions have had game-changing impact on societies. Presently, by and large, we are at the crossroads of the fourth industrial revolution, where phygital systems are going to play a massive role, where digital systems can simulate and go beyond the limitations of the physical world, thereby enabling a new world order. This transformation is cutting across every sphere known to mankind. The world will become a globally localized marketplace. In today’s business world, sustainability is a corporate agenda. Enterprises are also aiming to be purpose-driven, adaptive and resilient to disruptions. The contributions to community and environment are part of their corporate branding. The book explores and presents a part of the open data sets from government institutions to achieve the sustainable goals at local level, in turn contributing towards global mission. As the topic suggests, the authors are looking at some of the specific issues in the areas of environment, agriculture and health care through the lens of data science. The authors believe that the above three areas chosen have deep relevance in today’s world. The intent is to explore these issues from a data and analytics perspective and identify cracks through which deeper inroads can be made. Conscious efforts have been taken to make use of all the major data science techniques like prediction, classification, clustering, and correlation. Given the above background, deeper waters will be explored through the contents of this book.

Author : David Mhlanga
Publisher : Taylor & Francis
ISBN 13 : 1040047009
Total Pages : 273 pages
Book Rating : 4.02/5 ( download)

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Download or read book Responsible Business and Sustainable Development written by David Mhlanga and published by Taylor & Francis. This book was released on 2024-06-28 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Responsible and sustainable business practices are becoming increasingly important in the information age, as companies are realizing the need to address ethical and social issues associated with their operations. In today’s interconnected world, businesses have access to vast amounts of data that can be used to improve their bottom line but can also pose significant risks to individuals and society. At the same time, responsible business practices have the capacity to positively impact international development goals such as poverty alleviation, economic growth, responsible consumption, and health and social welfare. This book presents a transdisciplinary framework for addressing the 2030 Sustainable Development Agenda, offering fresh perspectives from the Global South. It provides an overview of the key challenges and opportunities associated with responsible business practices in the information age, including the need to balance privacy and security concerns with data analytics and innovation. It also highlights some of the best practices and initiatives, such as stakeholder engagement, transparency, and accountability. The book establishes the role of green leadership in promoting responsible production, discusses the importance of measuring and reporting on sustainable innovation, including the use of sustainability metrics and reporting frameworks. Further, it debates the importance of incorporating ethics and sustainability in strategic management practices. It provides a comprehensive understanding of the integration of these values in organizational decision‐making. By delving into the pressing matters that impact our world today, the book generates a sense of urgency and awareness among its audience. Its inclusive approach to exploring various perspectives and opinions invites readers to participate in a constructive dialogue, broadening their understanding and deepening their empathy for different viewpoints.

Author : Mohammed El Amine Abdelli
Publisher : CRC Press
ISBN 13 : 1000454401
Total Pages : 222 pages
Book Rating : 4.06/5 ( download)

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Download or read book Big Data for Entrepreneurship and Sustainable Development written by Mohammed El Amine Abdelli and published by CRC Press. This book was released on 2021-12-10 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides insight for researchers and decision-makers on the application of data in the entrepreneurship and sustainable development sector. This book covers how Big Data for Industry 4.0 and entrepreneurship are effective in resolving business, social, and economic problems. The book discusses how entrepreneurs use Big Data to cut costs and minimize the waste of time. It offers how using Big Data can increase efficiency, enables the studying of competitors, can improve the pricing of products, increase sales and loyalty, and can ensure the right people are hired. The book presents how decision-makers can make use of Big Data to resolve economic and social problems. Analyze the development of the economy and enhance the business climate. This book is for researchers, PhD students, and entrepreneurs and can also be of interest for transforming governments as well as businesses.