Social intelligence is defined as the ability to be aware of relevant social situational contexts; to deal with the contexts or challenges effectively; to understand others' concerns, feelings, and emotional states; and to interact appropriately in social situations and build and maintain positive relationships with others. Intelligence, Sustainability, and Strategic Issues in Management analytically discusses this concept within administrative and entrepreneurial managerial business environments.The volume opens with a study of academic department chairs' social intelligence and faculty members' satisfaction with annual evaluation of teaching and research at a US university. The seven other articles cover a range of topics, including a neurocognitive model of entrepreneurial opportunity, ownership dilution, sustainability in inventory management, the role of status in imitative behaviour, the negative impacts of embeddedness, product quality failures in international sourcing, and employers' use of social media in employment decisions.In addition to the articles, the volume also features a case study, "From Social Entrepreneur to Social Enterprise," a research note, "Reducing Job Burnout through Effective Conflict Management Strategy," five book reviews, and a list of books received.

Social intelligence is defined as the ability to be aware of relevant social situational contexts; to deal with the contexts or challenges effectively; to understand others' concerns, feelings, and emotional states; and to interact appropriately in social situations and build and maintain positive relationships with others. Intelligence, Sustainability, and Strategic Issues in Management analytically discusses this concept within administrative and entrepreneurial managerial business environments.The volume opens with a study of academic department chairs' social intelligence and faculty members' satisfaction with annual evaluation of teaching and research at a US university. The seven other articles cover a range of topics, including a neurocognitive model of entrepreneurial opportunity, ownership dilution, sustainability in inventory management, the role of status in imitative behaviour, the negative impacts of embeddedness, product quality failures in international sourcing, and employers' use of social media in employment decisions.In addition to the articles, the volume also features a case study, "From Social Entrepreneur to Social Enterprise," a research note, "Reducing Job Burnout through Effective Conflict Management Strategy," five book reviews, and a list of books received.

Artificial intelligence - and social responsibility. Two topics that are at the top of the business agenda. This book discusses in theory and practice how both topics influence each other. In addition to impulses from the current often controversial scientific discussion, it presents case studies from companies dealing with the specific challenges of artificial intelligence. Particular emphasis is placed on the opportunities that artificial intelligence (AI) offers for companies from different industries. The book shows how dealing with the tension between AI and challenges caused by new corporate social responsibility creates strategic opportunities and also innovation opportunities. It highlights the active involvement of stakeholders in the design process, which is meant to build trust among customers and the public and thus contributes to the innovation and acceptance of artificial intelligence. The book is aimed at researchers and practitioners in the fields of corporate social responsibility as well as artificial intelligence and digitalization. The chapter "Exploring AI with purpose" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Despite recent optimism and global initiatives, the implementation of corporate sustainability programs has been slow at best, with less than a third of global companies having developed a clear business case for their approach to sustainability. Presenting numerous award-winning cases and examples from companies such as Unilever, Patagonia, Tumi, DSM and Umicore alongside original ideas based upon 20 years of consulting experience, this book reveals how to design and implement a stronger sense of focus and move sustainability programs forward. This proven combination of purpose, direction and speed is dubbed “Vectoring”. Based upon practitioner cases and data analysis from the Dow Jones Sustainability Index, Vectoring offers a plain-spoken framework to identify the relative position of companies compared to their peers. The framework and its 4 archetypes deliver insights for practitioners to locate inhibitors and overcome them by providing practical suggestions for process improvements. This includes designing and executing new sustainability programs, embedding the SDGs within company strategy and assessing the impact of sustainability programs on competitiveness and valuation. Offering directions for CFOs to shift companies from integrated reporting to integrated thinking in order to accelerate their sustainability programs, Winning Sustainability Strategies shows how to achieve purpose with profit and how to do well by doing good.

In today’s changing business environment, managers and employees need essential capabilities such as innovativeness to successfully reach organizational goals. In this digitalized era, it is obvious that undigitized firms and organizations will not survive changing demands unless they can quickly adapt and form new business strategies. The upcoming era necessitates a digital transformation in all institutions from government to the non-profit sector. In such a change-oriented and complex business era, both entrepreneurs and leaders must keep up with the latest developments around them. Management Strategies for Sustainability, New Knowledge Innovation, and Personalized Products and Services discusses the emerging topics of digital transformation, new knowledge innovation, sustainability, and personalized products and services and provides a theoretical infrastructure to share the latest empirical research findings within management, knowledge creation, sustainability practices, artificial intelligence, and digital business functions and strategies. Covering a wide range of topics such as Industry 4.0 and user satisfaction, it is ideal for industry professionals, practitioners, consultants, educators, scholars, researchers, academicians, and students.

“Sustainable strategic management” refers to strategic management policies and processes that seek competitive advantages consistent with a core value of environmental sustainability.This book has been specifically written as a text to augment traditional graduate and undergraduate management courses on strategic management. It fills the need for a strategy text that gives full attention to sustainability and environmental protection. The authors have structured the book to follow the usual order of topics in any standard management text. Sustainable Strategic Management also features an on-going, chapter-by-chapter case study (Eastman Chemical Company) that exemplifies many of the principles of environmentally sound management practices.From creating organizational visions, to formulating goals and strategies, to strategy implementation and evaluation, this book provides readers with new ways of thinking about their organization’s role in the greater society and ecosystem. From the Authors’ Preface:Ours is the first book to integrate sustainability into strategic management. It covers the full gamut of strategic management concepts and processes that would be expected in any quality strategic management book, and it does so in a way that thoroughly weaves sustainability into each and every one of them. Students using this book understand such things as: why reducing materials and energy intensity is an effective functionallevel strategy, why socially differentiated products command premium prices, and why a business ecosystem pursuing a vision of social and ecological responsibility can dominate its market. Further, because the book is relatively short, reasonably priced, and very thorough in its coverage of strategic management concepts and ideas, it can be used either as a stand-alone text for graduate and undergraduate strategic management courses, as a supplement to another book, or as one of a group of short texts.

Faced with chaotic environments, it is not possible to make totally efficient forecasts, especially when it is necessary to analyze events with multiple variables and micro, small, and medium enterprises (MSMEs) constantly face events that escape the laws of the market. The handling that has been given to the crisis caused by the coronavirus has been trial and error, and the economic, social, and environmental results remain to be seen. The markets and the world are chaotic. With the markets in chaos due to the COVID-19 pandemic, it is important to look at the methods used in these environments to promote business success. The Handbook of Research on Management Techniques and Sustainability Strategies for Handling Disruptive Situations in Corporate Settings elaborates on the skills, techniques, and tools that are more useful for these environments and identifies what makes companies that work well in organizational chaos and in chaotic economic environments perform better than companies that are well organized. Covering topics such as strategic management, multidimensional chaos approach, and the global unstable market, this book is essential for managers, executives, academicians, policymakers, entrepreneurs, researchers, undergraduate and graduate business students, and any person interested in state-of-the-art business issues.

This book explores how digital technologies can be used to drive sustainable business practices and achieve long-term business success. It offers insights and practical strategies and guidance that can help businesses adapt to the digital age, optimize their operations, and create new opportunities for growth. The book further provides real-world examples that illustrate how businesses can leverage digital technologies to achieve long-term sustainability and success. The book is an essential read for business leaders, managers, academician, practitioners and entrepreneurs who are looking to drive sustainable digital transformation within their organizations. The book covers a wide range of topics, including: 1) Understanding the digital landscape: The book provides an overview of the digital technologies that are transforming business operations, such as artificial intelligence, cloud computing, and the Internet of Things. It explores how these technologies can be leveraged to create sustainable business practices that benefit both the organization and society. 2) Building a digital strategy for sustainability: The book offers guidance on how businesses can develop a digital strategy that aligns with their sustainability goals. It covers topics such as identifying digital opportunities, setting targets, and measuring performance. 3) Embedding sustainability into digital operations: The book explores how businesses can integrate sustainability into their digital operations, such as data management, supply chain management, and product design. It provides examples of companies that have successfully implemented sustainable digital practices. 4) Digital innovation for sustainability: The book discusses how businesses can use digital innovation to create new opportunities for sustainability. It covers topics such as circular economy business models, sustainable product design, and social innovation. 5) Leading for sustainable digital transformation: The book offers insights on how business leaders can drive sustainable digital transformation within their organizations. It covers topics such as leadership skills, organizational culture, and stakeholder engagement.

The Covid 19 pandemic has created chaos in the business world and forced leaders to rethink their operational status quo. Balancing the physical and virtual spaces of the global digital economy has called for additional support from data-driven technologies like smart analytics and artificial intelligence.