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Information Literacy and the
Digitalisation of the Workplace

Information Literacy and the Digitalisation of the Workplace

1. Advancing Theory on Workplace Information Literacy 2. Literature Review: In Search of the Many Meanings of Information Literacy 3. Digital Literacy in a Post-Digital Era: Rethinking 'Literacy' as Sociomaterial Practice 4. Methodological Choices of Information Literacy at the Workplace: Qualitative, Quantitative or Mixed Methods? 5. Investigating Information Seeking and Information Sharing Using Digital Trace Data 6. Making Do with Limited Transparency of Sensitive Information in Secretive Organizations: Collective Information Literacy Through Hinting 7. Information Literacy Competencies for Career Transitions in the Digital Age 8. The Importance of Information Literacy for Work Satisfaction in a World-Wide-Workplace Context 9. Entrepreneurs' Digital Information Sources Selection: A Perspective to Impact of Information Literacy and Generational Differences 10. Conclusion: Workplace information literacy as the literacy of digital workplace

Cheatcodes

Through a combination of theoretical insights, practical tools and real-world examples, this textbook will help final-year undergraduate and postgraduate students develop a comprehensive understanding of innovation management.

Principles and Strategies for Value Creation

Innovation Management

Unlock the full potential of generative AI for your business-an indispensable read for every modern leader looking to integrate generative AI in their organization In Generative AI: The Essential Guide for Business Leaders, celebrated AI researcher, strategist and industry executive Matthew D. White delivers an up-to-date and insightful new perspective of how business leaders should integrate generative AI into their own organizations. In the book, you'll learn about the basics of generative algorithms, explore the opportunities and risks presented by the new technology made famous by OpenAI's powerful ChatGPT - and learn how to improve your organization's products, services, operations, and strategies while limiting bias and harms. The author describes a complete framework for the adoption of generative AI inside your organization, as well as specific strategies to avoid the most common mistakes and pitfalls made by companies as they navigate these largely uncharted waters. You'll also find: <ul> <li>Demystifying Generative AI: Comprehensive, jargon-free explanations to help you understand the core concepts of generative AI</li> <li>Real-world Applications: Applications and methods you can apply to your own company's products and services to harness the potential of generative AI</li> <li>Strategic Insights: Planning considerations that will prove crucial to the success or failure of your new generative AI adoption strategy</li> <li>Adoption Frameworks: Concrete, step-by-step methodologies for streamlining your processes, increasing productivity, creating new and exciting products, and improving your bottom-line</li> <li>Risk Assessment: Practical advice on evaluating the ethical and operational risks of generative AI and how to mitigate them</li> <li>The Future: Insightful view of what is to come in the field of generative AI along with a discussion on the most pressing social, economic and legal issues</li></ul> An exciting road map to the commercial potential of generative AI for managers, directors, executives, and other business leaders, Generative AI will also be a hit with policymakers, regulators, compliance specialists, and technical professionals interested in the future of commerce and tech.

The Essential Guide for Business Leaders

Generative AI for Business

Mathematical Modelling for Big Data Analytics is a comprehensive guidebook that explores the use of mathematical models and algorithms for analyzing large and complex datasets. The book covers a range of topics, including statistical modeling, machine learning, optimization techniques, and data visualization, and provides practical examples and case studies to demonstrate their applications in real-world scenarios. Users will find a clear and accessible resource to enhance their skills in mathematical modeling and data analysis for big data analytics. Real-world examples and case studies demonstrate how to approach and solve complex data analysis problems using mathematical modeling techniques. This book will help readers understand how to translate mathematical models and algorithms into practical solutions for real-world problems. Coverage of the theoretical foundations of big data analytics, including qualitative and quantitative analytics techniques, digital twins, machine learning, deep learning, optimization, and visualization techniques make this a must have resource.

Mathematical Modeling for Big Data Analytics

A neuroscientist reveals the mechanisms behind decision-making - and how to make more fulfilling, impactful choices in our work and lives

The Neuroscience of Choice and Change

What We Value

Archiving Websites

How to Survive, Thrive and Rise in Silicon Valley and Beyond

Further Together

Confidently understand and use AI to recruit and develop a successful workforce to thrive in the future world of work with the third edition of this best-selling practical guide.

Use AI to Support and Develop a Successful Workforce

Artificial Intelligence for HR

The Minimalist Entrepreneur is the manifesto for a new generation of founders who would rather build great companies than big ones. Why bother chasing unicorns when you can build a profitable, sustainable business that customers love?

How Great Founders Do More with Less

The Minimalist Entrepreneur

Routledge Studies in Innovation, Organizations and Technology

Increasingly firms are moving away from the 'closed innovation paradigm' in which most R&amp;D is carried out in-house, in isolation and secrecy, to a more open way of working in which firms actively collaborate with other companies and institutions. Although this 'open innovation' is receiving more attention in academic research, the existing literature is largely qualitative and focused on the practices of high-technology multi-national firms and generally ignores the work being carried out in this area by SMEs. Using a combination of theory and cutting edge empirical (quantitative) investigation, Pooran Wynarczyk strives to address this major gap in current literature.

The Dynamics of Open Innovation in SMEs

Research Methods for Library, Archives, and Museum Professionals

Knowledge into Action

Two roads diverged in a wood, and I-I took the one less travelled by,And that has made all the difference.-Robert Frost

Poems to Change Your Life – Poetry for Life, Business, and Inspiration

The Poetry Business School

Information Literacy and the Digitalisation of the Workplace

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