Collaborative Convergence And Virtual Teamwork For Organizational Transformation
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Collaborative Convergence and Virtual Teamwork for Organizational Transformation
Virtual teams are work arrangements where team members are geographically dispersed and work interdependently using electronic communication media to accomplish one or more organizational tasks. Over the past several decades, there has been an explosive growth in organizational use of virtual teams to organize work. In the competitive market, virtual teams represent a growing response to the need for faster time to market, low cost, and rapid solutions to complex organizational problems. Organizations are increasingly investing in virtual teams to enhance their performance and competitiveness. However, there are unsolved issues of design and implementation of collaboration technologies for virtual teams and their collaborative convergence. Collaborative Convergence and Virtual Teamwork for Organizational Transformation is an innovative collection of research that analyzes and discusses successful organizational transformation that requires a holistic understanding of the issues linked to team and workplaces, communication and integration, technological barriers, and sociocultural factors. The chapters highlight topics such as collaboration technologies in virtual teamwork, collaboration technologies’ impact on organizational transformation, as well as web-based tools, collaborative learning tools, group decision support systems, workflow automation systems, and more. This book is ideally intended for business professionals, managers and practitioners, stakeholders, researchers, academicians, and students looking for the latest research in virtual teamwork and its impact on organizational transformation.
Sustainability, Innovation, and Consumer Preference
Digital platforms have transformed consumer behavior, shaping how people discover, explore, and purchase products and services. With the rise of social media, e-commerce sites, and mobile applications, consumers are more informed and connected. These platforms allow for instant access to information and reviews while creating communities where users can share experiences and recommendations. As a result, traditional marketing strategies are evolving, requiring brands to adapt to the fast-paced digital landscape and engage with consumers in meaningful ways. Understanding the influence of these platforms is essential for businesses that want to understand modern consumer behavior and build lasting customer relationships. Sustainability, Innovation, and Consumer Preference delves into the intersection of digital technologies and circular economy principles, highlighting how innovations in areas such as IoT, AI, blockchain, and big data are transforming traditional business models into more sustainable, resource-efficient systems. It explores the redesign of product life cycles, the role of Industry 4.0 in sustainable manufacturing, and the influence of digital platforms on consumer behavior. This book covers topics such as automation technology, social media, and waste management, and is a useful resource for computer engineers, marketing professionals, business owners, economists, academicians, and researchers.
Handbook of Research on Technologies and Systems for E-Collaboration During Global Crises
Necessity is the mother of invention; challenging times can provide new opportunities that must be detected and exploited at the right moments. The COVID-19 pandemic has demonstrated that it is not only an issue of healthcare but also a challenge for the global economy, business, and society. Organizations have rapidly deployed technology solutions that enable them to work and service remotely and continue most of their normal operations. The Handbook of Research on Technologies and Systems for E-Collaboration During Global Crises focuses on emerging technologies and systems, strategies, and solutions for e-collaboration. This book assesses the importance of technologies and systems for e-collaboration in dealing with emerging crises such as pandemics. Covering topics such as deep learning processes, machine vision, and profit-sharing models, it is an essential resource for computer scientists, public officials, engineers, students and professors of higher education, healthcare administration, programmers, researchers, and academicians.