This book constitutes revised selected papers from the 19th Workshop on e-Business, WeB 2020, which took place virtually on December 12, 2020. The purpose of WeB is to provide a forum for researchers and practitioners to discuss findings, novel ideas, and lessons learned to address major challenges and map out the future directions for e-Business. The WeB 2020 theme was “The Role of e-Business during the Time of Grand Challenges.” The 12 papers included in this volume were carefully reviewed and selected from a total of 24 submissions. The contributions are organized in topical sections as follows: Cybersecurity and COVID-19 challenges; digital platforms; and managing human factors in e-business.
This book constitutes revised selected papers from the 20th Workshop on e-Business, WeB 2021, which took place virtually on December 11, 2021. The purpose of WeB is to provide a forum for researchers and practitioners to discuss findings, novel ideas, and lessons learned to address major challenges and map out the future directions for e-Business. The WeB 2021 theme was “From Grand Challenges to Great Solutions: Digital Transformation in the Age of COVID-19.” The 8 papers included in this volume were carefully reviewed and selected from a total of 24 submissions. The contributions are organized in topical sections as follows: digital innovation and transformation, and e-commerce and social media.
This book is based on a selection of thoroughly revised and extended best papers from the 8th Workshop on E-Business (WEB 2009) held in Phoenix, AZ, USA, on December 15th, 2009. The 29 papers, which were selected from 70 presentations at the workshop, highlight the enormous developments and potential of e-business at a time when new technologies like cloud computing, collective intelligence, and multi-sided platforms are burgeoning. Among the topics covered are Web-based information systems, RFID and supply chain management, process modeling and standardization, security and privacy issues, social networking and mobility, e-services and market mechanisms, IT portfolio management, and other special topics in e-business such as electronic invoicing.
This book offers a selection of the best papers presented at the annual international scientific conference “Digital Transformation in Industry: Trends, Management, Strategies,” which was held by the Institute of Economics of the Ural Branch of the Russian Academy of Sciences (Ekaterinburg, Russia) on October 28, 2022. The book focuses on concepts for initiating digitalization processes and identifying successful digital transformation strategies in all sectors of industry. Key topics include the sustainability of digital transformation in uncertain dynamics; conditions of uncertainty and barriers; industrial logistics in the new reality; best practices for implementing digital solutions to ensure sustainable, barrier-free and flexible supply chains; the achievement of sustainability in the process of digital transition; the adaptation of enterprises to the ESG concept through digital solutions; assessing the impact of industrial digital transformation on society and the environment; and clarifying how ESG aspects affect the economy. The experiences of various countries, regions and types of enterprise implementing IT and other technological innovations are also included, making the book a valuable asset for researchers and managers alike.
The ebook edition of this title is Open Access and freely available to read online. Organizing for Societal Grand Challenges unpacks how diverse forms of organizing help tackle-or reinforce-grand challenges,while emphasizing the need for researchers to expand their methodological repertoire and reflect upon scholarly practices.
This essential Research Handbook provides an in-depth analysis of the link between corporate governance and ethics. By bringing together internationally renowned scholars, it reflects upon pertinent trends and challenges within the field. Significantly, it illuminates the ethical foundations of corporate governance.
The application of digital information and communication technologies (ICTs) to reform governmental structures and public service is widely and perhaps naively viewed as the 21st century "savior", the enlightened way to reinvigorate democracy, reduce costs, and improve the quality of public services. This book examines the transition from e-government to digital governance in light of the financial exigencies and political controversies facing many governments. The chapters concentrate on strategies for public sector organizational transformation and policies for improved and measurable government performance in the current contentious political environment. This fully updated second edition of Digital Governance provides strategies for public officials to apply advanced technologies, manage remote workforces, measure performance, and improve service delivery in current crisis-driven administrative and political environments. The full implementation of advanced digital governance requires fundamental changes in the relationship between citizens and their governments, using ICTs as catalysts for political as well as administrative communication. This entails attitudinal and behavioral changes, secure networks, and less dependence on formal bureaucratic structures (covered in Part I of this book); transformation of administrative, educational, and security systems to manage public services in a more citizen-centric way (covered in Part II); the integration of advanced digital technologies with remote broadband wireless internet services (Part III); and the creation of new forms of global interactive citizenship and self-governance (covered in Part IV). Author Michael E. Milakovich offers recommendations for further improvement and civic actions to stimulate important instruments of governance and public administration. This book is required reading for political science, public administration, and public policy courses, as well as federal, state, and local government officials.
Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence. This book provides the most recent advances in the field along with case studies and real-world examples. It discusses predictive modeling and analytics in reliability engineering and introduces current achievements and applications of artificial intelligence, data mining, and other techniques in supply chain management. It covers applications to reliability engineering practice, presents numerous examples to illustrate the theoretical results, and considers and analyses case studies and real-word examples. The book is written for researchers and practitioners in the field of system reliability, quality, supply chain management, and logistics management. Students taking courses in these areas will also find this book of interest.
