This book constitutes revised selected and extended papers presented at track 4 of the Conference on Computer Science and Intelligence Systems, FedCSIS 2022, which took place in Sofia, Bulgaria, during September 4–7, 2022. The FedCSIS Information Systems and Technologies Track included AIST 2022, ISM 2022, DSH 2022, and KAM 2022. AIST 2022 received 11 submissions, from which 2 full papers and 1 short paper have been accepted; for ISM 2022 2 full and 3 short papers have been accepted from 15 submissions; and for DSH 2022 2 full and 1 short papers have been accepted from 11 submissions. From the 17 submissions to KAM 2022, no paper passed the extended reviews, so the overall acceptance rate was 20% for full and 18% for short papers. The papers were organized in topical sections named: Approaches to improving business; approaches to improving society; and methods for improving business and society.

Success in an increasingly competitive market depends on the quality of knowledge which organisations apply to their major business processes. For example, a supply chain depends on knowledge of diverse areas, including raw materials, planning, manufacturing, and distribution. Likewise, product development requires knowledge of consumer requirements, new science, new technology, and marketing. Knowledge is broadly defined as credible information that is of potential value to an organisation. Knowledge management (KM) is a function of generation and dissemination of information, developing a shared understanding of information, filtering shared understandings into degrees of potential value, and storing valuable knowledge within the confines of an accessible organisational mechanism.

The convergence of corporate social responsibility (CSR), corporate strategy, and public policy has emerged as a critical domain in contemporary business. The fundamental premise of corporate social responsibility is the obligation a company bears to simultaneously address and tend to the multifaceted needs of its clients, workforce, shareholders, communities, and the environment. The key to unlocking the dual potential of generating both positive social impact and corporate value is found in this delicate balance. Examining a wide array of empirical evidence, Strategies and Approaches of Corporate Social Responsibility Toward Multinational Enterprises establishes the tangible linkages between social responsibility initiatives and competitive advantages, offering invaluable insights for organizations aspiring to attract top-tier talent and bolster brand reputation. Delving into the nuances of corporate strategy, it elucidates the distinction between business strategy and corporate strategy, underscoring the significant influence of CEO decisions on stakeholders directly or indirectly associated with the organization. Designed to resonate with diverse audiences, including corporate sectors, private organizations, banks, universities' faculty and students, industrialists, and researchers, this book offers a roadmap for embracing and implementing novel approaches to CSR for multinational enterprises. Employing strategic business models that prioritize sustainability and responsive strategies, it heralds a new era of corporate excellence and organizational growth.

This book constitutes the revised selected papers of the combined workshops on Web Information Systems Engineering, WISE 2014, held in Thessaloniki, Greece, in October 2014. The 19 selected papers presented were carefully revised and report from the four workshops: computational social networks, IWCSN 2014, enterprise social networks, Org2 2014, personalization and context-awareness in cloud and service computing, PCS 2014, and data quality and trust in big data, QUAT 2014.

Analytical tools and algorithms are essential in business data and information systems. Efficient economic and financial forecasting in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease of interpretation is important in improving data preparation, analysis, and implementation processes in business organizations. Machine Learning Techniques for Improved Business Analytics is a collection of innovative research on the methods and applications of artificial intelligence in strategic business decisions and management. Featuring coverage on a broad range of topics such as data mining, portfolio optimization, and social network analysis, this book is ideally designed for business managers and practitioners, upper-level business students, and researchers seeking current research on large-scale information control and evaluation technologies that exceed the functionality of conventional data processing techniques.

No organization is impervious to change. Rather, the survival and growth of an organization is dependent on how well it copes with change. Successful change initiatives consist of the integrated eco-system of its portfolio, programs, and projects. These change initiatives become the delivery mechanisms for implementing the strategy of an organization. Improving Business Performance: A Project Portfolio Management Approach clarifies how the proper application of portfolio, program, and project management concepts can help commercial and non-profit organizations achieve their strategic objectives. Most organizations have been good at devising strategy, but falter during its implementation. Executing strategy well to deliver superior business performance remains a key challenge, which is addressed as the core theme of this book. The book portrays a top-down orientation as well as a bottom-up integration of change initiatives to facilitate alignment to strategy and accommodate mid-course changes. It takes into account existing global best management practices to bring forth an approach that is customizable and useful to organizations in any industry. Describing why portfolio management lies at the apex of change initiative management, the book explains how to design and fine-tune portfolios so they are in alignment with your organization’s overall strategy and business needs. After reading this book, you will understand: How to design the project portfolio structure for your organization How to integrate programs and projects within the portfolio more effectively How to better manage interactions across diverse change initiatives How to maintain focus while managing change to realize benefits The book presents a case study that illustrates the application of project portfolio concepts in practical scenarios. It includes chapters dedicated to transition management, change management, benefits management, and the Enterprise Project Management Office. It also includes templates you can immediately put to use in your own portfolios, programs, and projects.

Technology in the world today impacts every aspect of society and has infiltrated every industry, affecting communication, management, security, etc. With the emergence of such technologies as IoT, big data, cloud computing, AI, and virtual reality, organizations have had to adjust the way they conduct business to account for changing consumer behaviors and increasing data protection awareness. The Handbook of Research on Social and Organizational Dynamics in the Digital Era provides relevant theoretical frameworks and the latest empirical research findings on all aspects of social issues impacted by information technology in organizations and inter-organizational structures and presents the conceptualization of specific social issues and their associated constructs. Featuring coverage on a broad range of topics such as business management, knowledge management, and consumer behavior, this publication seeks to advance the practice and understanding of technology and the impacts of technology on social behaviors and norms in the workplace and society. It is intended for business professionals, executives, IT practitioners, policymakers, students, and researchers.

Perspectives and Techniques for Improving Information Technology Project Management discusses the variety of information systems and how it can improve project management and, likewise, how project management can affect the growth of information systems. Using new frameworks, technologies and methods, this comprehensive collection is useful for professionals, researchers and software developers interested in learning more on this emerging field.