Knowledge Management And Sustainability

Based on the importance of human beings as creators and managers of knowledge towards the achievement of sustainability in the current digital age, this book is an effort to present many studies taking individuals as centers of knowledge and starting points for environmental, social, and economic development. From various theoretical and empirical studies developed by researchers from Mexico, Colombia, and Brazil, this book presents, in an ordered sequence, the individual as the creator of knowledge, the role of human beings as knowledge managers with and for sustainability, the opportunities for knowledge sharing in virtual research collaborations for sustainability, and the advantages and disadvantages with and for sustainability from a human-centered perspective in the digital era. Moreover, this text describes the antecedents of competitive advantage in a sustainable cooperative network, knowledge management in technology projects, an empirical study of knowledge management of tutorial intervention, a model of processes and knowledge management to increase competitiveness, the role of Information and Communication Technologies (ICT) for managing sustainable practices, finishing with knowledge management trends with and for sustainability, from a human-centered perspective in the digital era. Offering an innovative approach, this book seeks to expand the understanding of the theme of knowledge management and sustainability from the perspective of the human resource as a generator of knowledge. There is mounting focus on knowledge-intensive work and sustainable development in the corporate world. In light of these trends, this edited volume will be of value to researchers, academics, professionals, and advanced students in the fields of management, environment and sustainability, and development studies.

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.

Artificial intelligence (AI) is becoming a reality for pioneering organizations while they are facing complex and multifaceted aspects of business sustainability with ambiguous and changing ethical norms and vague or nonexistent legislation. The first quarter of the 21st century was identified as the beginning of the continuous, ongoing, and accelerating wave of simultaneous general purpose technologies revolutions causing accelerated shrinkage of the half-life of knowledge. Cases on Enhancing Business Sustainability Through Knowledge Management Systems presents teaching case studies exploring the formulation and implementation of knowledge management systems (KMS) in organizations. Covering topics such as automation, machine learning, and socio-ecological innovation, this case book is an essential resource for business leaders and managers, IT managers, entrepreneurs, government officials, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

In a changing and complex environment currently facing the main challenges of sustainable development, effective management of knowledge, intellectual assets, organizational learning, and talent management are the basis for social innovation and new ways of competition. In this sense, management and business practice are incorporating social and environmental demands made by all types of stakeholders to improve business decisions and strategies. Knowledge Management for Corporate Social Responsibility provides research exploring the theoretical and practical aspects of linking firm profitability, social development, and natural environment in respect to business management practices. Featuring coverage on a broad range of topics such as employer branding, intellectual capital, and organizational performance, this book is ideally designed for business professionals, small business owners, entrepreneurs, academicians, researchers, and business students.

Organizations are increasingly recognizing the importance of sustainability and responsibility. They are challenged to develop a holistic approach to value creation that reconciles economic, social, and environmental goals. This book describes how knowledge can facilitate this process and amplifies the idea of knowledge management to strategically serve multiple stakeholders in a sustainable and responsible way. In particular, the book introduces the concept of the "Need Knowledge-Driven Organization." It builds on mature research on organizational purpose, stakeholder theory, and phronesis, and advances the concept of "needs." This provides a new lens for understanding the sustainable and responsible business case: First, people are motivated by their needs, and organizations represent social structures that facilitate the satisfaction of shared needs. Second, needs reflect and combine social, environmental, and economic concerns, making sustainability and responsibility more realizable for practitioners. And third, needs provide a reference point for holistic value creation and can thus align knowledge processes and structures in organizations.

The book presents a new type of leadership focused on sustainable human development and organizational sustainability, which is based on the self-realization of the person of the leader, which means the satisfaction of their needs, according to the scale of Abraham Maslow, through integral human development in all aspects of life. Because the term "leader" appears to refer to anyone with the authority to confer a position with subordinates, the reality within organizations has shown that a leader must go further and demonstrate commitment, awareness, and concern for the common good. Which person has these characteristics? People who have had more opportunity to develop in different areas of their being, resulting in them being conceived as more educated. The qualities in a person are the basis of leadership. Education and practice are much more important than all hereditary and genetic codes. This volume explores the various ways of making explicit the dimensions of social, economic, and environmental sustainability through knowledge management that addresses the identification, collection, processing, circulation, use, exchange, and preservation of knowledge within operating systems and the context of organizations, considering issues that contribute to sustainability – human and organizational – where the leader is the main actor and the means is knowledge management.

Modern engineering approaches focus on the design and operation of systems and products in a way that allows for the sustainable use of resources. Sustainable engineering aims to provide frameworks that ensure development without compromising the quality of the natural environment and the ability of future generations to meet their own needs. In this context, decision making processes must be enriched by approaches and tools that allow decision makers to consider a wide range of sustainable options. Recently, great progress has been taking place in the fields of operation research and management science, where intelligent quantitative analysis, statistics, and prediction analytics are employed in a variety of interdisciplinary research areas, aiming to assist policy makers and managers with the consideration of a variety of sustainable options. This Special Issue consists of a 17-paper collection with published approaches and models that are designed to give answers for environmental impact and sustainability assessment, risk and knowledge management assessment, lifecycle assessment and energy management. Five papers are dedicated to advances in different literature review topics. The remaining papers deal with a variety of engineering approaches to address decision making which involves: mulricriteria decision analysis, ecological footprint and biocapacity estimations, fuzzy prediction models, advanced statistical analysis, simulation, systems dynamics model, task ontology and integration definition function modeling.

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