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Perhaps one of the most surprising if not actually unsettling things about the Internet and the Web is that there is always something new on the horizon and that it is very difficult to see where this new technology will take us. When ICT was just about big computers and organisational systems it was pretty obvious where the technology was moving us. We all knew about Moore’s Law and that we were going to have greater capacity, smaller and faster devices every year. And during the 1990s and the first decade of the third millennium we all became used to what the Internet and the Web had to offer. But Social Software in the form of Web 2.0 is different. It has put technology in the hands of people who we would never have given it a second thought a few years ago. Leading Issues in Social Knowledge Management contains leading edge research which addresses some of the main issues for those of us who want to use Social Software in a Knowledge Management context or who want to study it or research it. There are 10 research papers as well as an introduction from David Gurteen who is a leading thinker in this field.
This book features both cutting-edge contributions on managing knowledge in transformational contexts and a selection of real-world case studies. It analyzes how the disruptive power of digitization is becoming a major challenge for knowledge-based value creation worldwide, and subsequently examines the changes in how we manage information and knowledge, communicate, collaborate, learn and decide within and across organizations. The book highlights the opportunities provided by disruptive renewal, while also stressing the need for knowledge workers and organizations to transform governance, leadership and work organization. Emerging new business models and digitally enabled co-creation are presented as drivers that can help establish new ways of managing knowledge. In turn, a number of carefully selected and interpreted case studies provide a link to practice in organizations.
This international Handbook provides a comprehensive overview of key topics, debates and issues within the now well-established field of Knowledge Management (KM). With contributions from a range of highly-skilled authors, diverse and multi-disciplinary approaches towards KM are explored in this fantastic new reference work. Topics covered include performance, ethics, sustainability and cross-cultural management, making this an equally important read to academics and practitioners working in areas such as technology, education and engineering. By analysing how the field of KM has developed over the years, as well as presenting new methods to be implemented in the workplace, this Handbook outlines a research agenda for the future of organisational learning and innovation.
With the development of advanced media technologies, cyberspace is gradually transforming from temporal immersion into a state of new normal. An increasing proportion of our daily lives has become a mix of physical and virtual worlds. As a complex social psychological phenomenon, online social identity has attracted widespread attention from academia to industry. Identity-related issues have been noted as an important subject of Internet interdisciplinary research, including social psychology, sociology, personality psychology, and health psychology. Communication in cyberspace always carries some degrees of anonymity, for users present virtual identities constructed by themselves in cyberspace, hiding their real identities and constructing their online identities as a form of social identity enactment. On the other hand, online media provides tools and environments for virtual identity building. Although the anonymity of the internet facilitates the subjects' construction of their virtual identity, their online virtual identity is not completely anonymous and can be identified and authenticated online, thereby meaning we can research how online identity relates to real world identity. Identification is a social process that matches internal self-identity with external identity types, and it is also a process and a reflection of internal perceptions, and mere identification with a group has been shown to dramatically affect behavior (as per social identity theory).
“John Gattorna is one of the most original thinkers in the fast-changing arena of supply chain management. He has pioneered the idea of dynamic alignmentwhich is so powerfully presented in this ground-breaking book.” Martin Christopher, Professor of Marketing & Logistics, Cranfield School of Management Supply chains are at the heart of competitive advantage in business today. If supply chains are managed successfully, companies will be able to deliver their products and services to customers in a smart, cost-effective way. The key to successful supply chain management is recognising that it’s people who really drive the living supply chains that are at the heart of businesses. Supply chains are powered by the energy and expertise of employees and suppliers and by the changing wants and needs of customers. John Gattorna calls this principle of matching changing customer needs and desires with different supply chain strategies dynamic alignment. To secure space in a new market, to grow or keep existing markets companies have to get their products out there faster. They need to be the first with new products and services and the first to match them with particular customer groups. The dynamic alignment model gives a structured way of linking customer expectations to the operational side of business while maintaining the flexibility to systematically modify fulfilment processes as customers inevitably change their buying preferences.
Knowledge management (KM) is a set of relatively-new organizational activities that are aimed at improving knowledge, knowledge-related practices, organizational behaviors and decisions and organizational performance. KM focuses on knowledge processes—knowledge creation, acquisition, refinement, storage, transfer, sharing and utilization. These processes support organizational processes involving innovation, individual learning, collective learning and collaborative decision-making. The “intermediate outcomes” of KM are improved organizational behaviors, decisions, products, services, processes and relationships that enable the organization to improve its overall performance. Knowledge Management and Organizational Learning presents some 20 papers organized into five sections covering basic concepts of knowledge management; knowledge management issues; knowledge management applications; measurement and evaluation of knowledge management and organizational learning; and organizational learning.