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.

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.

This book constitutes the proceedings of the 21st International Conference on Business Information Systems, BIS 2018, held in Berlin, Germany, in July 2018. The BIS conference follows popular research trends, both in the academic and the business domain. Thus the theme of BIS 2018 was "Digital Transformation - An Imperative in Today's Business Markets". The 30 papers presented in this volume were carefully reviewed and selected from 96 submissions. They were organized in topical sections named: big and smart data and artificial intelligence; business and enterprise modeling; ICT project management; process management; smart infrastructures; social media and Web-based business information systems; applications, evaluations, and experiences.

The aim of this edited book is to provide a comprehensive overview of the opportunities and challenges related to innovation for sustainability. Combining work from both emerging and established scholars in different academic fields, this book provides an integrated understanding of the topic from four perspectives. First, the big picture: frameworks, types, and drivers; second, strategy and leadership; third, measurement and assessment and fourth, tools, methods and technologies. Chapter 11 of this book is available open access under a CC BY 4.0 license at link.springer.com. The editors donate their remuneration for this book to conservation organisation the WWF.

Business Models for Sustainability breaks new ground by combining three important insights. First, achieving sustainability requires socio-technical transitions that entail new technologies, production processes, lifestyles, and consumption patterns. Second, firms play crucial roles in mediating between sustainable production and consumption. Third, radical innovations require organizational innovations and new business models. Peter Wells successfully combines these big picture ideas with rich in-depth case studies drawing on years of accumulated expertise. Highly recommended. Frank W. Geels, University of Manchester, UK and Chairman of the Sustainability Transitions Research Network With increasing awareness that innovative technology alone is insufficient to make sustainable lifestyles a reality, this book brings into sharp focus the need to create radical new business models. This insightful book provides a theoretically grounded but also realistic account of how the design of business models can be a critical component in the overall transition to sustainability, and one that transcends the usual focus on innovative technology. Weaving together key principles and components for business sustainability, the book highlights five very different pathways to the future for sectors ranging from microbreweries and printing through to clothing, mobility and plastics. Business has only just started the first few tentative steps towards a very different approach to creating and sustaining value, but this book concludes that enormous opportunities will emerge alongside new ways of creating and capturing value. Academics and postgraduate students in the fields of sustainable business, business organisations and industrial ecology will find this book brings a greater understanding of business strategy and structure to the discipline. While traditionally referenced and structured, this academic book is accessibly written with key principles that may also appeal to the consultant community.

Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats. The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success.

The roles of corporate and public stewards and the nature of their social contract with society have been changing over the past two centuries, and those changes have accelerated in recent decades. Moreover, with increasing focus on sustainability factors from the marketplace (regulators, investors, financiers, and consumers), corporate sustainability disclosure is shifting from voluntary to vital. Corporate and public stewards are now responsible for their performance and services from cradle-to-grave: they must properly manage corporate social responsibility and integrate it into their global strategies, rather than consider it as merely a moral obligation or a risk/reputation management exercise. Sustainability analytics, the critical link between sustainability and business strategy, helps professionals track, trend, and transform sustainability information into actionable insights across the value chain and life cycle, to enhance their sustainability performance and its disclosure. This book, Introduction to Sustainability Analytics, provides corporate and public stewards with a comprehensive understanding of how to determine which sustainability metrics are material to them and relevant to their business, and how to incorporate them into corporate strategy, resource allocation, and prioritization. Focusing on practical decision-making needs, it explains how to value and prioritize initiatives, and how to best allocate necessary resources through several real case studies and practical examples. Features: Examines pressing issues such as climate change, water scarcity, and environmental justice Explains how to develop a business case and global strategy for social responsibility Includes both corporate and public policy perspectives on sustainability economics Covers emerging regulations on sustainability disclosure and responsible investing