Videnstyring

Lær! handler om, hvordan man kan arbejde med talentudvikling, med specialisternes viden, med oplæring og videreuddannelse, med udviklingens af en læringskultur, med innovation og ikke mindst med de læringsfælder, som vi risikerer at snuble i.I dagens samfund er det en forudsætning, at mennesker såvel som organisationer er i stand til at lære. Man taler om den lærende organisation. Men hvad skal der til for at etablere forudsætninger for læring på en arbejdsplads? I Lær! – Effektiv talentudvikling og innovation af Lene Tanggaard og Tue Juelsbo kan du læse om mesterlære, kreativitet og håndværk.Forfatterne argumenterer for, at kreativitet er noget, vi lærer, at vi har alt for stort fokus på potentialer og alt for lidt fokus på håndværk, og at vi synes at have glemt læring som en vigtig strategisk faktor i moderne organisationer. De taler for, at virksomheder og organisationer skal opbygge stærke talentmiljøer.

NO-CODE er for dig, der er ekspert i alt andet end kode. Du mestrer måske Excel, men ønsker at gøre en større digital forskel. Bogen introducerer dig til 25 måder at bygge software eller automatisere arbejdsgange uden at skrive en eneste linje kode.

En hjerneforsker og to økonomer diskuterer, hvordan vi kan bruge organisationens samlede netværk af hjerner til at nå vores mål.I disse år forandrer den teknologiske udvikling grundlaget for vores forretning, og vi kan vi ikke længere være sikre på at nå de mål, vi har sat os. Præcis planlægning hører fortiden til.Men hvis vi tænder for det netværk af hjerner, som organisationen råder over, kan vi sætte en kurs og justere den, mens vi bevæger os fremad.Vi skal skabe intelligente organisationer, der er mere omstillingsparate end traditionelle top-downorganisationer. Vi skal trække på organisationens netværk af hjerner, når vi indsamler viden og erfaringer, og når vi træffer beslutninger. Og vi skal skabe kloge organisationer, der kan overleve fremtidens skiftende krav. Bogen er en inspirationsbog, der sætter gang i diskussionen om, hvordan fremtidens organisationer ser ud, og hvordan de skal ledes.

Mange steder i danske organisationer er der behov for at arbejde mere praksisnært med videndeling og opkvalificere den videndeling, der allerede foregår i dagligdagen, så det bliver meget mere værdiskabende. Undersøgelser viser at vidensnetværk naturligt nedbryder siloer, mentale barrierer, giver større helhedsforståelse for forretningen og understøtter at best practice spreder sig. Men succesfulde netværk opstår ikke af sig selv. Videndeling handler om at skabe resultater hurtigere og bedre sammen end vi kan hver for sig. Det handler om bedre bundlinje og masser af hard core økonomiske tal – men det handler i høj grad også om øget arbejdsglæde og personlig og faglig udvikling for den enkelte medarbejder. Ved at vi deler viden, samarbejder på tværs og har fokus på helheden og fællesskabet, så løfter vi hinanden til nye højder, og oplever derigennem også en højere grad af glæde ved at gå på arbejde. I denne bog får du i første del af bogen praksisnær inspiration, tips og gode råd, til hvordan I konkret styrker jeres organisation til endnu mere videndeling i dagligdagen. I anden del af bogen vil du få viden om, hvordan I specifikt arbejder med interne netværk som en effektiv metode til videndeling på tværs, der virker.

Gene Kim and Steven J. Spear, DBA, combine their decades of experience and research to offer a new business dynamic in the digital age.

A self-contained and practical introduction that assumes no prior knowledge of programming or machine learning.

In today's rapidly evolving business and technology landscape, staying ahead of the curve is not just an option; it's a necessity. "Empower Business with Generative AI" is your definitive guide to unlocking the potential of artificial intelligence and using it as a strategic advantage to propel your business forward.Unleash Efficiency: Discover how Generative AI can streamline your operations, automate repetitive tasks, and supercharge productivity across your organization. Say goodbye to inefficiencies and hello to optimized processes.Enhance Decision-Making: Gain unprecedented insights by leveraging AI-driven analytics and predictive modelling. Make data-driven decisions with confidence and transform your business strategies for success.Innovate with Confidence: Harness the creative power of Generative AI to develop cutting-edge products and services. Explore new frontiers and deliver solutions that resonate with your customers in ways you never thought possible.Inside this book, you'll find:- Decide the Use Case: Explore a range of practical applications and use cases for Generative AI, enabling you to tailor its power to your specific business needs.- Practical Strategies: Learn how to implement AI solutions effectively, from choosing the right technology stack to managing data and ensuring compliance.- A New Organizational Model: Discover how to upskill your organization to integrate AI into your company's DNA, helping employees to jump into this new transformational journey.- Ethical Considerations: Navigate the ethical and societal implications of AI, and discover how to deploy it responsibly.Empower your business to thrive in the era of AI. Whether you're a business decision maker, seasoned entrepreneur, a technology enthusiast, or a curious innovator, this book will equip you with the knowledge and tools you need to make AI work for your business!

This book starts with the rationale for creating an FCM by contrast to other techniques for participatory modeling, as this rationale is a key element to justify the adoption of techniques in a research paper. Fuzzy cognitive mapping is an active research field with over 20,000 publications devoted to externalizing the qualitative perspectives or ¿mental models¿ of individuals and groups. Since the emergence of fuzzy cognitive maps (FCMs) back in the 80s, new algorithms have been developed to reduce bias, facilitate the externalization process, or efficiently utilize quantitative data via machine learning. It covers the development of an FCM with participants through a traditional in-person setting, drawing from the experience of practitioners and highlighting solutions to commonly encountered challenges. The book continues with introducing principles of simulations with FCMs as a tool to perform what-if scenario analysis, while extending those principles to more elaborated simulation scenarios where FCMs and agent-based modeling are combined. Once an FCM model is obtained, the book then details the analytical tools available for practitioners (e.g., to identify the most important factors) and provides examples to aid in the interpretation of results. The discussion concerning relevant extensions is equally pertinent, which are devoted to increasing the expressiveness of the FCM formalism in problems involving uncertainty. The last four chapters focus on building FCM models from historical data. These models are typically needed when facing multi-output prediction or pattern classification problems. In that regard, the book smoothly guides the reader from simple approaches to more elaborated algorithms, symbolizing the noticeable progress of this field in the last 35 years. Problems, recent references, and functional codes are included in each chapter to provide practice and support further learning from practitioners and researchers.

This edited book is the second in the book series ¿Managing the Post-Colony¿. The book series is co-edited by Nimruji Jammulamadaka (IIM Calcutta, India) and Gavin Jack (Monash University, Australia). The book series seeks to present cutting-edge, critical, interdisciplinary, and geographically and culturally diverse perspectives on the contemporary nature, experience, and theorisation of managing and organising under conditions of postcoloniality.This book specifically presents voices and perspectives from Aotearoa New Zealand, Australia, and The Pacific, locations with shared and distinctive histories and present-day experiences of colonisation and imperialism. Ways of managing, organising, and doing business in these places demonstrate cultural continuity and change in such histories, present sites of postcolonial struggle, and diverse prospects for self-determined future-making. The book explores struggles and prospects of managing in the post-colony through qualitative empirical cases, historical and legal studies, conceptual essays and provocations, and interviews with Indigenous business leaders. It contributes to the ongoing diversification, provincialisation, and decolonisation of management and organisation studies and practice. A strong focus is placed on diverse Indigenous knowledges and experiences, including those of Aboriginal and Torres Strait Islander, Pasifika, and M¿ori peoples, and insights into the capacity for Indigenous culture-specific modes of business to offer decolonising futures.

This book explores theories and brings empirical evidence of innovations in learning and teaching and practice-driven leadership and governance of higher education institutions across developed and developing countries aiming to recover and sustain during and after the COVID-19 Pandemic. A fresh managerial approach to identifying the critical challenges, opportunities and strategies of higher education services management is the fundamental essence of this book. The book includes unique chapters, and these are carefully designed. This book has original scholarly contributions, including case studies, and explains how higher education institutions can deal with the challenges of the Covid-19 Pandemic. The cross-cultural insights of both public and private sector higher education institutions across the globe are a helpful guide for academics, researchers, advanced students, and practitioners to identify and understand the best practices about what worked well and what did not during the Covid-19 Pandemic. The chapters help formulate a strategic recovery plan for higher education institutions to mitigate the challenges of the post-Covid-19 Pandemic.

Das Buch zeigt anhand aktueller Forschungsthemen und Praxisbeispiele, welche Veränderungen die digitale Transformation in den Lernprozessen von und in Organisationen ausgelöst hat. Anpassungen von Organisationen auf Veränderungen sind die Basis für Innovationsprozesse, die wiederum auf den Ergebnissen der individuellen Lernprozesse der Mitarbeiter*innen und einem fluiden Wissensmanagement in den Organisationen aufbauen. Innovative digitale Lernformen und -formate, digitale Kollaborationstools und ein fließendes Wissensmanagement sind Voraussetzung für eine lernende Organisation und damit für ein gelingendes Change Management. Nach einer kurzen Einführung in die Thematik der digitalen Transformation und den Herausforderungen für Organisationen fokussiert sich die Autorin auf das organisationale Lernen, erforderliche Grundbausteine in Bezug auf das digitale und selbstgesteuerte Lernen sowie verschiedene Ausprägungen von digitalen Lernangeboten. Dabei werden neue digitale Lernformen und -strukturen auch unter dem Einfluss von KI aufgezeigt und mit Praxisbeispielen sowie aktuellen Forschungsergebnissen angereichert. Anschließend beleuchtet die Autorin das organisationale Wissensmanagement und dessen rasante Weiterentwicklung in den letzten Jahren.

This book constitutes the second volume of 'Religion Matters: The Contemporary Relevance of Religion' (Springer, 2020). Offering a fresh and much-needed perspective, it explores the role of religion in the modern, neo-liberal world. The book acclaims that 'religion' is a contextual and contested term, which is extensively discussed in the Introduction.Designed to be read selectively, this book allows readers to delve into topics and traditions of specific interest without the necessity of reading the entire volume. In contrast to volume 1, where contributors critically engaged with religion and various disciplines, this book poses a fundamental question: Can religion contribute to the discipline under consideration?Authors were selected based on their ability to address this question. Some chapters concluded that religion may offer very little to the discipline under consideration, highlighting the value of volume 1's critical stance on the place of religion incontemporary society. However, the project's overall aim remained somewhat unfulfilled, leading to the creation of this second volume.The primary omission from the first book was a comprehensive exploration of the sciences and health sciences, which this second volume aims to rectify. Furthermore, additional authors were chosen to investigate the nature of connectedness facilitated by religion, horizontally through membership within wider communities, societies, cultures, or religious traditions, and vertically by examining historical relationships within a particular faith tradition, culture, community, or society. This volume also broadens its focus to include non-Christian perspectives, Indigenous perspectives, and an increased representation of female contributors.

This book explores current and future trends in adopting intelligent technologies, such as the metaverse, social technologies, FinTech applications, and blockchain, among individuals and organizations. The edited book includes empirical and review studies primarily focusing on these issues. This focus aids scholars in conducting future research in the domain and identifying possible future developments of emerging technologies. The empirical studies in the book utilize recent and advanced analytical techniques for data analysis.

Die digitale Transformation und der Einsatz von menschenähnlichen oder menschengleichen (humanoiden) Maschinen gehören zu den wichtigsten gesellschaftlichen und wirtschaftlichen Entwicklungen unserer Zeit. Dieses Buch beschreibt neben Anwendungen und Konzepten der Digitalisierung und Künstlicher Intelligenz, wie Unternehmen eine erfolgreiche Transformation zum digitalen Champion umsetzen können. Außerdem werden zahlreiche Praxisbeispiele in den Bereichen Supply Chain Management, Produktion, Nachhaltigkeit oder dem Bildungswesen dargestellt.

Das vorliegende Buch enthält fünf Studien, die sich mit den aktuellen Herausforderungen im Bereich organisationales Lernen in der Polizei beschäftigen. Der erste Beitrag beschäftigt sich mit der Frage, inwiefern die deutsche Polizei als eine lernende Organisation gelten kann, und verwendet dabei quantitative Methoden. Darauf folgt ein konzeptioneller Beitrag, der aufzeigt, wie ein positiver Umgang mit Fehlern und Kritik in der polizeilichen Führungsarbeit und in der Polizei gelingen kann. Im Mittelpunkt des dritten Beitrags steht die Analyse der durch Migration ausgelösten Lernprozesse in der deutschen Polizei anhand von Experteninterviews mit Führungskräften der Polizei. Eine weitere qualitative Studie beschäftigt sich mit der Frage, inwieweit Gewalthandlungen, die bewusst und freiwillig im Rahmen der polizeilichen Ausbildung bzw. Berufssozialisation ausgeübt werden, als so genannte ¿gesellige Gewalt¿ interpretiert werden und damit positive Auswirkungen haben können, beispielsweise auf die Identifikation mit dem Polizeiberuf. Den Abschluss bildet ein Beitrag, der pro-organisationale Devianz, d.h. Regelbrüche zum Nutzen der Organisation, in einem polizeilichen Kontext mit einer qualitativen Methodik untersucht.

An accessible introduction to applied data science and machine learning, with minimal math and code required to master the foundational and technical aspects of data science. In Just Enough Data Science and Machine Learning, authors Mark Levene and Martyn Harris present a comprehensive and accessible introduction to data science. It allows the readers to develop an intuition behind the methods adopted in both data science and machine learning, which is the algorithmic component of data science involving the discovery of patterns from input data. This book looks at data science from an applied perspective, where emphasis is placed on the algorithmic aspects of data science and on the fundamental statistical concepts necessary to understand the subject. The book begins by exploring the nature of data science and its origins in basic statistics. The authors then guide readers through the essential steps of data science, starting with exploratory data analysis using visualisation tools. They explain the process of forming hypotheses, building statistical models, and utilising algorithmic methods to discover patterns in the data. Finally, the authors discuss general issues and preliminary concepts that are needed to understand machine learning, which is central to the discipline of data science. The book is packed with practical examples and real-world data sets throughout to reinforce the concepts. All examples are supported by Python code external to the reading material to keep the book timeless. Notable features of this book: Clear explanations of fundamental statistical notions and concepts Coverage of various types of data and techniques for analysis In-depth exploration of popular machine learning tools and methods Insight into specific data science topics, such as social networks and sentiment analysis Practical examples and case studies for real-world application Recommended further reading for deeper exploration of specific topics.

Gesundheitserleben und medizinische Forschung stehen vor einem fundamentalen Wandel. Die Rollen für Ärzt*innen, Apotheker*innen, Forscher*innen und vor allem den Patient*innen werden neu definiert. Krankenkassen, Pharmaindustrie, Medizintechnik und nahezu alle Akteur*innen der Gesundheitsversorgung stehen vor großen Herausforderungen - und Chancen. Diese Trendstudie erläutert wie Digitalisierung und Individualisierung unsere Gesundheitsversorgung revolutionieren und analysiert die zehn wichtigsten Veränderungstreiber, die das Feld der Gesundheit in den kommenden Jahren signifikant transformieren werden.

In the digital world we inhabit, the disciplines of Information Architecture, User Experience, and Artificial Intelligence play a critical role in shaping our interactions with various systems and platforms. This book, titled "Synthesizing Information Architecture: Enhancing User Experience (UX) through Artificial Intelligence (AI)", strives to offer an integrated perspective on these domains, shedding light on their synergies and offering insights into developing advanced, user-centric digital solutions.Introduction to Information Architecture (IA)Information Architecture (IA) is a multifaceted field focusing on structuring, organizing, and labeling content effectively and sustainably. It acts as the backbone of user experiences, ensuring that users find what they're looking for in digital spaces like websites and apps. The discipline originated from architecture and library sciences, where the organization of information and space is crucial. However, its principles have been adapted and expanded to suit the digital era, where information is exponentially growing, and the need for effective organization and retrieval has become paramount.A robust IA facilitates user navigation, promotes content discoverability, and contributes to the overall coherence and intuitiveness of digital platforms. It involves creating clear, user-centric design structures and labeling systems, making it a linchpin for usability and user satisfaction. In this book, we delve deep into the principles, methodologies, and practical applications of IA, underscoring its pivotal role in shaping user experiences.Understanding User Experience (UX)User Experience (UX), on the other hand, is a human-centric approach to design, focusing on creating products and services that offer meaningful and relevant experiences to users. UX encompasses all aspects of end-users' interactions with a company, its services, and its products. It's not just about the usability of a product or service but also about emotions, values, and the overall experience that users undergo.UX employs a variety of tools and techniques, ranging from user research and personas to wireframes and prototypes, to understand user needs, preferences, and behaviors and to design solutions that meet these needs effectively. The goal is to enhance user satisfaction by improving the usability, accessibility, and pleasure provided in the interaction between the user and the product.Essentials of Artificial Intelligence (AI)Artificial Intelligence (AI) represents the culmination of efforts to develop computer systems capable of performing tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, perception, language understanding, and even potentially creativity. AI is not a new concept, having its roots in the mid-20th century, but it has witnessed unprecedented advancements in the recent decade due to the explosion in data availability and computational power.AI's integration into IA and UX holds transformative potential, enabling the development of more intuitive, adaptable, and user-friendly systems. It allows for the automation of various tasks, personalized user experiences, and enhanced decision-making capabilities, reshaping the way we interact with and perceive digital platforms.Bridging IA, UX, and AIThe objective of this book is to demonstrate the integrative power of Information Architecture, User Experience, and Artificial Intelligence. By synthesizing these domains, we can develop digital solutions that are not just user-friendly and intuitive but are also capable of learning and adapting to user needs and preferences, offering personalized and enriched experiences.

This textbook is the first of its kind, designed exclusively for the training and professional development of engineering technicians and technologists on the quality concepts, tools, and skills necessary for today's industrial environment. The book provides learners and working professionals with numerous examples, exercises, and case studies to prepare them to apply concepts including total quality management (TQM), six sigma, and lean methodology in analyzing and solving quality problems and implementing process improvements and corrective actions in the manufacturing process.Quality and Lean Six Sigma for Engineering Technicians gives readers a practical understanding of six sigma and manufacturing improvement concepts. It is also a go-to reference for practicing engineering technicians already working in the field.

Thinking better makes you better. And few things extend your mind as quickly and powerfully as the humble note. Notes let you fulfill commitments, manage complicated projects, and make your ideas real. Digital notes take you further: using the right tools and a bit of discipline, you can cultivate a "personal knowledge garden" where your thinking will blossom.

Introduction How can organizations improve performance? What factors may influence organizations to improve performance? I will explain how any why effective department communication, excellent technological input, effective human resource development training, good employee motivation strategy and effective performance measurement strategy can influence any organization's overall performance to be more effective. I shall indicate the reasons to explain why above any one of these factors have indirect relationship to influence the organization's overall performance effectiveness. Readers can earn fresh opinions to acknowledge that these any one factors can be possible to influence organization's overall performance effectiveness.