Managing Knowledge In Project Environments At Accenture

Managing Knowledge in Project Environments illustrates how knowledge management (KM) contributes to successful project work. KM is widely practised in project environments, but managers don’t always recognise the knowledge aspects of their work and tend to treat KM as a series of specific activities rather than a way of making project work produce better outcomes in different contexts. To overcome this challenge, the authors present KM as an integral part of project work and explain it using principles: KM fundamentals that apply anywhere. A series of context factors provides readers with a framework for understanding and thinking about what KM means for their context: their goals, their projects, their organisations and their working environments. Hidden KM is exposed, myths are debunked and practical guidance explains how to build KM into projects and portfolios. The approach is consistent with current guidance including the BS ISO management systems standard for KM and the seventh edition of APM’s ‘Body of knowledge’. The aim is to help project professionals, sponsors, PMO members and others who can make a difference manage knowledge more effectively in project environments. Managing Knowledge in Project Environments offers everyone involved in project work a definitive short guide to the subject.

Management of knowledge in project environments is a unique text that brings together contributions from leading academic practitioners, to demonstrate how the management of knowledge can lead to project success in today's complex and changing business environment. The work examines how the management of knowledge, particularly the sharing of knowledge and the importance of learning through reflection, can lead to project success and improved business performance. This book is written by an international contributor team and offers practical applications, models and case studies from a variety of international perspectives.

Inhaltsangabe:Abstract: In an economy where the only certainty is uncertainty, the sure source of lasting competitive advantage is knowledge. Peter Drucker (1953) Companies like Microsoft, Netscape, Coca-Cola and Yahoo can be found under the top U.S. companies with the highest market values in 1999. The market value represents the measure of value that the investors and markets associate with the company. However, these companies are not valued for their tangible assets (buildings, inventory, etc.), they are valued for something which cannot be shown on a balance sheet: their intangibles. These include brand recognition, Patents, customer loyalty, innovative business ideas, past achievements, etc. These companies are valued for the knowledge they possess. However, knowledge is of little value, if it cannot be found when needed. Therefore, a successful knowledge management concept is of crucial importance for these companies. The knowledge management market is growing rapidly and it will continue to advance over the next years. Knowledge management is still a relatively young field with new concepts emerging constantly. Most knowledge management initiatives have focused entirely on changes in tools and technologies, such as intranets and Lotus Notes. But knowledge management is more complex: it covers everything the company does to make knowledge available to everyone. The twenty-first century gives companies the tools and connectivity to easily obtain, share, and act on information quickly. Knowledge management uses these possibilities and recent studies showed that companies gained a competitive advantage by implementing it. According to Accenture research, a well implemented knowledge management process can improve employee productivity by an average of 60%. Often, knowledge management is seen as storing documents in a database, thus hoping to enhance knowledge sharing through the implementation of technology. But to successfully apply knowledge management, companies need to implement a process of motivating and inciting people to share information. The old saying Knowledge is power is still popular. The people who are hoarding their knowledge believe that it makes them irreplaceable. However, real power does not come from knowledge kept, but from knowledge shared. People are expected to cooperate, to be open, to participate within the new economy, but resistance can be expected. Obviously, knowledge management is a combination of [...]

Technology advances are making tech more . . . human. This changes everything you thought you knew about innovation and strategy. In their groundbreaking book, Human + Machine, Accenture technology leaders Paul R. Daugherty and H. James Wilson showed how leading organizations use the power of human-machine collaboration to transform their processes and their bottom lines. Now, as new AI powered technologies like the metaverse, natural language processing, and digital twins begin to rapidly impact both life and work, those companies and other pioneers across industries are tipping the balance even more strikingly toward the human side with technology-led strategy that is reshaping the very nature of innovation. In Radically Human, Daugherty and Wilson show this profound shift, fast-forwarded by the pandemic, toward more human—and more humane—technology. Artificial intelligence is becoming less artificial and more intelligent. Instead of data-hungry approaches to AI, innovators are pursuing data-efficient approaches that enable machines to learn as humans do. Instead of replacing workers with machines, they're unleashing human expertise to create human-centered AI. In place of lumbering legacy IT systems, they're building cloud-first IT architectures able to continuously adapt to a world of billions of connected devices. And they're pursuing strategies that will take their place alongside classic, winning business formulas like disruptive innovation. These against-the-grain approaches to the basic building blocks of business—Intelligence, Data, Expertise, Architecture, and Strategy (IDEAS)—are transforming competition. Industrial giants and startups alike are drawing on this radically human IDEAS framework to create new business models, optimize post-pandemic approaches to work and talent, rebuild trust with their stakeholders, and show the way toward a sustainable future. With compelling insights and fresh examples from a variety of industries, Radically Human will forever change the way you think about, practice, and win with innovation.

This book focuses on the proper access and delivery methods for explicit knowledge in projects and also concentrates on tacit knowledge unknown and unavailable to most people in project environments. This book also discusses the benefits of managing knowledge in projects, provides techniques, and addresses strategy and deployment issues that will increase the rate of return on projects.

Organizations of all types are consistently working on new initiatives, product lines, or implementation of new workflows as a way to remain competitive in the modern business environment. No matter the type of project, employing the best methods for effective execution and timely completion of the task at hand is essential to project success. The implementation of computer technology has provided further opportunities for innovation and progress in the daily operations and initiatives of corporations. Knowledge Management and Innovation in Network Organizations: Emerging Research and Opportunities is an essential scholarly resource that explores the use of information communication technologies in management models and the development of network organizations operating in various sectors of the economy. Highlighting coverage on a wide range of topics such as cloud computing, organizational development, and business management, this book is ideal for business professionals, organizational researchers, and academicians interested in the latest research on network organizations.

Knowledge and information are among the biggest assets of enterprises and organizations. However, efficiently managing, maintaining, accessing, and reusing this intangible treasure is difficult. Information overload makes it difficult to focus on the information that really matters; the fact that much corporate knowledge only resides in employees’ heads seriously hampers reuse. The work described in this book is motivated by the need to increase the productivity of knowledge work. Based on results from the EU-funded ACTIVE project and complemented by recent related results from other researchers, the application of three approaches is presented: the synergy of Web 2.0 and semantic technology; context-based information delivery; and the use of technology to support informal user processes. The contributions are organized in five parts. Part I comprises a general introduction and a description of the opportunities and challenges faced by organizations in exploiting Web 2.0 capabilities. Part II looks at the technologies, and also some methodologies, developed in ACTIVE. Part III describes how these technologies have been evaluated in three case studies within the project. Part IV starts with a chapter describing the principal market trends for knowledge management solutions, and then includes a number of chapters describing work complementary to ACTIVE. Finally, Part V draws conclusions and indicates further areas for research. Overall, this book mainly aims at researchers in academia and industry looking for a state-of-the-art overview of the use of semantic and Web 2.0 technologies for knowledge management and personal productivity. Practitioners in industry will also benefit, in particular from the case studies which highlight cutting-edge applications in these fields.

This book argues that by integrating effective knowledge management (KM) with project management (PM), the overall project success rate can be improved significantly. It brings together the latest ideas and research on shared approaches to improve performance based on the research and experience of academics and practitioners. The structured collection of articles presents novel theoretical approaches and clear empirical evidence of the value of integrating the two distinct fields. It enables readers to better understand the need to merge KM with PM and appreciate the benefits. It also offers researchers an idea of what lies ahead and how to get there, and helps practitioners develop more suitable KM solutions for successful project outcomes.