Managing Learning Enterprises

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Managing Learning Enterprises
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Author : Nataša Rupčić
language : en
Publisher: Springer Nature
Release Date : 2024
Managing Learning Enterprises written by Nataša Rupčić and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Knowledge management categories.
Zusammenfassung: This book provides an overview and a critical analysis of prior research and practice insights in the field of learning organizations and learning enterprises. However, it also represents the author's own findings and reflections on various dimensions and perspectives of a learning organization, offering solutions in response to previous findings and their critical evaluation. It reflects the time in which it was written, characterized by concerns about reaching the limits of growth and the potential collapse of the world under the burden of pollution and a growing population. Instead of advocating for greater control and regulation, this book presents a different perspective on the solution: the development and transformation of collective consciousness
Managing Learning Enterprises
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Author : University of Rijeka
language : en
Publisher: Springer
Release Date : 2024-06-18
Managing Learning Enterprises written by University of Rijeka and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-18 with Business & Economics categories.
This book provides an overview and a critical analysis of prior research and practice insights in the field of learning organizations and learning enterprises. However, it also represents the author's own findings and reflections on various dimensions and perspectives of a learning organization, offering solutions in response to previous findings and their critical evaluation. It reflects the time in which it was written, characterized by concerns about reaching the limits of growth and the potential collapse of the world under the burden of pollution and a growing population. Instead of advocating for greater control and regulation, this book presents a different perspective on the solution: the development and transformation of collective consciousness.
Enablers Of Organisational Learning Knowledge Management And Innovation
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Author : Preethi Kesavan
language : en
Publisher: Springer Nature
Release Date : 2020-11-20
Enablers Of Organisational Learning Knowledge Management And Innovation written by Preethi Kesavan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-20 with Business & Economics categories.
This book establishes constructivist, interpretivist, and linguistic approaches based on conventions about the nature of qualitative and text data, the author’s influence on text interpretation, and the validity checks used to justify text interpretations. Vast quantities of text and qualitative data in organizations often go unexplored. Text analytics outlined in this book allow readers to understand the process of converting unstructured text data into meaningful data for analysis in order to measure employee opinions, feedback, and reviews through sentiment analysis to support fact-based decision making. The methods involve using NVivo and RapidMiner software to perform lexical analysis, categorization, clustering, pattern recognition, tagging, annotation, memo creation, information extraction, association analysis, and visualization. The methodological approach in the book uses innovation theory as a sensitizing concept to lay the foundation for the analysis of research data, suggesting approaches for empirical exploration of organizational learning, knowledge management, and innovation practices amongst geographically dispersed individuals and team members. Based on data obtained from a private educational organization that has offices dispersed across Asia through focus group discussions and interviews on these topics, the author highlights the need for integrating organizational learning, knowledge management, and innovation to improve organizational performance, exploring perspectives on collective relationships and networks, organizational characteristics and structures, and tacit and overt values which influence such innovation initiatives. In the process, the author puts forward a new theory which is built on three themes: relationship and networks, knowledge sharing mechanisms, and the role of social cognitive schema that facilitate emergent learning, knowledge management, and innovation.
Knowledge Management And Organizational Learning
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Author : William R. King
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-06-13
Knowledge Management And Organizational Learning written by William R. King and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-13 with Business & Economics categories.
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.
Artificial Intelligence And Machine Learning In Business Management
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Author : Sandeep Kumar Panda
language : en
Publisher: CRC Press
Release Date : 2021-11-04
Artificial Intelligence And Machine Learning In Business Management written by Sandeep Kumar Panda and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-04 with Business & Economics categories.
Artificial Intelligence and Machine Learning in Business Management The focus of this book is to introduce artificial intelligence (AI) and machine learning (ML) technologies into the context of business management. The book gives insights into the implementation and impact of AI and ML to business leaders, managers, technology developers, and implementers. With the maturing use of AI or ML in the field of business intelligence, this book examines several projects with innovative uses of AI beyond data organization and access. It follows the Predictive Modeling Toolkit for providing new insight on how to use improved AI tools in the field of business. It explores cultural heritage values and risk assessments for mitigation and conservation and discusses on-shore and off-shore technological capabilities with spatial tools for addressing marketing and retail strategies, and insurance and healthcare systems. Taking a multidisciplinary approach for using AI, this book provides a single comprehensive reference resource for undergraduate, graduate, business professionals, and related disciplines.
Managing To Learn
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Author : John Shook
language : en
Publisher: Lean Enterprise Institute
Release Date : 2008
Managing To Learn written by John Shook and has been published by Lean Enterprise Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Decision making categories.
"The process by which a company identifies, frames, acts and reviews progress on problems, projects and proposals can be found in the structure of the A3 process ... follow the story of a manager ... and his report ... which will reveal how the A3 can be used as a management process to create a standard method for innovating, planning, problem-solving, and building structures for a broader and deeper form of thinking - a practical and repeatable approach to organizational learning"--Publisher's description.
Machine Learning For Business
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Author : Doug Hudgeon
language : en
Publisher: Simon and Schuster
Release Date : 2019-12-24
Machine Learning For Business written by Doug Hudgeon and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-24 with Computers categories.
Summary Imagine predicting which customers are thinking about switching to a competitor or flagging potential process failures before they happen Think about the benefits of forecasting tedious business processes and back-office tasks Envision quickly gauging customer sentiment from social media content (even large volumes of it). Consider the competitive advantage of making decisions when you know the most likely future events Machine learning can deliver these and other advantages to your business, and it’s never been easier to get started! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Machine learning can deliver huge benefits for everyday business tasks. With some guidance, you can get those big wins yourself without complex math or highly paid consultants! If you can crunch numbers in Excel, you can use modern ML services to efficiently direct marketing dollars, identify and keep your best customers, and optimize back office processes. This book shows you how. About the book Machine Learning for Business teaches business-oriented machine learning techniques you can do yourself. Concentrating on practical topics like customer retention, forecasting, and back office processes, you’ll work through six projects that help you form an ML-for-business mindset. To guarantee your success, you’ll use the Amazon SageMaker ML service, which makes it a snap to turn your questions into results. What's inside Identifying tasks suited to machine learning Automating back office processes Using open source and cloud-based tools Relevant case studies About the reader For technically inclined business professionals or business application developers. About the author Doug Hudgeon and Richard Nichol specialize in maximizing the value of business data through AI and machine learning for companies of any size. Table of Contents: PART 1 MACHINE LEARNING FOR BUSINESS 1 ¦ How machine learning applies to your business PART 2 SIX SCENARIOS: MACHINE LEARNING FOR BUSINESS 2 ¦ Should you send a purchase order to a technical approver? 3 ¦ Should you call a customer because they are at risk of churning? 4 ¦ Should an incident be escalated to your support team? 5 ¦ Should you question an invoice sent by a supplier? 6 ¦ Forecasting your company’s monthly power usage 7 ¦ Improving your company’s monthly power usage forecast PART 3 MOVING MACHINE LEARNING INTO PRODUCTION 8 ¦ Serving predictions over the web 9 ¦ Case studies
Learning To See
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Author : Mike Rother
language : en
Publisher: Lean Enterprise Institute
Release Date : 2003
Learning To See written by Mike Rother and has been published by Lean Enterprise Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Business & Economics categories.
Lean production is the gold standard in production systems, but has proven famously difficult to implement in North America. Mass production relies on large inventories, uses "push" processes and struggles with long lead times. Moving towards a system that eliminates muda ("waste") caused by overproduction, while challenging, proves necessary for improved efficiency. Often overlooked, value stream mapping is the essential planning stage for any Lean transformation. In Mike Rother and John Shook's essential guide, you follow the value stream mapping undertaken for Acme Stamping, for its current and future state. Fully illustrated and well-organized, Learning to See is a must-see for the value stream manager.
The Learning Enterprise
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Author : Anthony P. Carnevale
language : en
Publisher: DIANE Publishing
Release Date : 1993-05
The Learning Enterprise written by Anthony P. Carnevale and has been published by DIANE Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-05 with Business & Economics categories.
Explains the relationship between job-related learning, individual opportunity, and the competitiveness of employer institutions. Takes a close look at the employer-based training and development systems, in general, and the difference between small and large employers, in particular. Graphs, tables, and drawings.
Managing Enterprise Content
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Author : Ann Rockley
language : en
Publisher: New Riders
Release Date : 2003
Managing Enterprise Content written by Ann Rockley and has been published by New Riders this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Business & Economics categories.
Provides guidelines and concepts to follow for planning, developing, and implementing a successful content management strategy.