Sustainable Business Analytics: A Data-Driven Approach

The combination of information-based knowledge and socially dedicated business activities has become a trend-setting phenomenon in the changing environment of global sustainability. Sustainable Business Analytics: A Data-Driven Approach is an academic project that tries to investigate this overlap - where sustainability meets analytics, and ethical requirements are measured using data and intelligence. This edited book aims at discovering the promise of analytics to enhancing sustainable business models within industries and functions. The incorporation of more sophisticated methods of analysis, including predictive modeling, artificial intelligence, and machine learning, into corporate sustainability decision-making has redefined the lines of corporate strategy and corporate governance. Nowadays, companies are becoming more responsible not only in terms of their financial success but their environmental management and stewardship as well as social responsibility. This book also embodies that paradigm shift to explore how data analytics is a key enforcer of Environmental, Social, and Governance (ESG) excellence. The separate but interconnected aspects of sustainable analytics discussed in each of the chapters of this volume include ethical and regulatory aspects of sustainability, as well as ESG performance and sustainable finance and marketing analytics of responsible consumer behavior. The chapters are rich in conceptual content and empirical evidence which is a symbiosis of theoretical rigor and practical views which explain how data-driven solutions are transforming sustainability stories at both ends of the corporate spectrum. The discussion in this book goes beyond the conventional realms of analytics. It appreciates the fact that sustainability is not a compliance goal but a strategic benefit that is grounded in wisdom, creativity, and disclosure. Contributors in this volume show how organizations can manage the uncertainty, make the most out of decision-making and develop long-term value in accordance with the Sustainable Development Goals (SDGs) through descriptive, predictive and prescriptive analytical frameworks. Our vision of this book is to serve as a holistic guide to scholars, policymakers, data scientists, sustainability officers and business leaders who want to use analytics to unleash a force of ethical transformation. It holds interdisciplinary collaboration, academic rigor, and mutual desire to accomplish sustainability measurable, actionable and impactful with data. Hopefully this book will be a guide to people working to create a better and stronger world- one in which data is not just a performance measure, but a guide towards a sustainable future of the world.