Beyond Collaboration Overload

Beyond Collaboration Overload
Author: Rob Cross
Publisher: Harvard Business Press
Total Pages: 266
Release: 2021-09-14
Genre: Business & Economics
ISBN: 1647820138
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Named the Best Management Book of 2021 by strategy+business Named one of "this month's top titles" in the Financial Times in September 2021 Named to the longlist for the 2021 Outstanding Works of Literature (OWL) Award in the Management & Culture category A plan for conquering collaborative overload to drive performance and innovation, reduce burnout, and enhance well-being. Most organizations have created always-on work contexts that are burning people out and hurting performance rather than delivering productivity, innovation and engagement. Collaborative work consumes 85% of employees' time and is drifting earlier into the morning, later into the night, and deeper into the weekend. The dilemma is that we all need to collaborate more to create effective organizations and vibrant careers for ourselves. But conventional wisdom on teamwork and collaboration has created too much of the wrong kind of collaboration, which hurts our performance, health and overall well-being. In Beyond Collaboration Overload, Babson professor Rob Cross solves this paradox by showing how top performers who thrive at work collaborate in a more purposeful way that makes them 18-24% more efficient than their peers. Good collaborators are distinguished by the efficiency and intentionality of their collaboration—not the size of their network or the length of their workday. Through landmark research with more than 300 organizations, in-depth stories, and tools, Beyond Collaboration Overload will coach you to reclaim close to a day a week when you: Identify and challenge beliefs that lead you to collaborate too quickly Impose structure in your work to prevent unproductive collaboration Alter behaviors to create more efficient collaboration It then outlines how successful people invest this reclaimed time to: Cultivate a broad network—not a big one—for innovation and scale Energize others—a strong predictor of high performance Connect with others to reduce micro-stressors and enhance physical and mental well-being Cross' framework provides relief from the definitive problem of our age—dysfunctional collaboration at the expense of our performance, health and overall well-being.

Complete Guide to Human Resources and the Law, 2020 Edition

Complete Guide to Human Resources and the Law, 2020 Edition
Author: Shilling
Publisher: Wolters Kluwer
Total Pages: 1878
Release: 2019-08-23
Genre: Business & Economics
ISBN: 1543811140
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The Complete Guide to Human Resources and the Law will help you navigate complex and potentially costly Human Resources issues. You'll know what to do (and what not to do) to avoid costly mistakes or oversights, confront HR problems - legally and effectively - and understand the rules. The Complete Guide to Human Resources and the Law offers fast, dependable, plain English legal guidance for HR-related situations from ADA accommodation, diversity training, and privacy issues to hiring and termination, employee benefit plans, compensation, and recordkeeping. It brings you the most up-to-date information as well as practical tips and checklists in a well-organized, easy-to-use resource. Previous Edition: Complete Guide to Human Resources and the Law, 2018 Edition ISBN 9781454899945

Predictive HR Analytics, Text Mining and Organizational Network Analysis with Excel

Predictive HR Analytics, Text Mining and Organizational Network Analysis with Excel
Author: Dpg
Publisher: Independently Published
Total Pages: 501
Release: 2019-06-30
Genre:
ISBN: 9781077226906
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A lot of organizational data is often untapped unstructured data in the form of text & numbers. You don't need to spend months learning R programming & you don't need to buy expensive SPSS statistical software. This is the only book that teaches you how to use Microsoft Excel for Predictive HR Analytics, Text Mining & Organizational Network Analysis (ONA) with step-by-step print-screen instructions: 1) Predictive HR Analytics: Use Excel's Statistical Analysis tools (Decision trees, Correlation, Multiple & Logistic Regression) to run Predictive HR Analytics. E.g. an employee is predicted to have a 60% probability of getting into accidents, if he is age 25, worked 1 year in the company & took 6 days sick leave. An employee is predicted to get rated "7" for Customer Service, if the training program that he attended has a training evaluation score of "8". An employee is predicted to resign if she is age 23, worked for 2 years, and takes 60 minutes to commute to work. 2) Organizational Network Analysis (ONA): Run ONA using Excel's network analysis tool. Learn how to convert an employee's organizational network into a score & then predict if they will be a high-potential (HiPo). E.g. an employee is predicted to be a HiPo with performance rating of "9", if his "Social Network Size" is "16", "Social Network Diversity Index" is "3" & "Competency Score" is "8". 3) Text Mining, Sentiment Analysis & Word Clouds: Mine text from social network posts, employee engagement surveys & Glassdoor comments, then run Sentiment Analysis using Excel & visualize the insights with "Word Clouds". Learn how to predict a company's average employee attrition rate based on its sentiment. E.g. a company's average employee attrition rate is predicted to be 8%, if unemployment rate is 3%, GDP growth is 2%, Glassdoor public sentiment rating is "5", and engagement score is "7".

The Oxford Handbook of Social Networks

The Oxford Handbook of Social Networks
Author: Ryan Light
Publisher: Oxford University Press
Total Pages: 697
Release: 2020-11-20
Genre: Social Science
ISBN: 0197520618
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While some social scientists may argue that we have always been networked, the increased visibility of networks today across economic, political, and social domains can hardly be disputed. Social networks fundamentally shape our lives and social network analysis has become a vibrant, interdisciplinary field of research. In The Oxford Handbook of Social Networks, Ryan Light and James Moody have gathered forty leading scholars in sociology, archaeology, economics, statistics, and information science, among others, to provide an overview of the theory, methods, and contributions in the field of social networks. Each of the thirty-three chapters in this Handbook moves through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. They cover both a succinct background to, and future directions for, distinctive approaches to analyzing social networks. The first section of the volume consists of theoretical and methodological approaches to social networks, such as visualization and network analysis, statistical approaches to networks, and network dynamics. Chapters in the second section outline how network perspectives have contributed substantively across numerous fields, including public health, political analysis, and organizational studies. Despite the rapid spread of interest in social network analysis, few volumes capture the state-of-the-art theory, methods, and substantive contributions featured in this volume. This Handbook therefore offers a valuable resource for graduate students and faculty new to networks looking to learn new approaches, scholars interested in an overview of the field, and network analysts looking to expand their skills or substantive areas of research.

The Complete Guide to Personal Training

The Complete Guide to Personal Training
Author: Morc Coulson
Publisher: Bloomsbury Publishing
Total Pages: 385
Release: 2024-10-10
Genre: Health & Fitness
ISBN: 1399412582
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A revised and updated third edition of the popular Complete Guide to Personal Training with up-to-date content and new exercises. This is the complete reference guide for anyone working as a personal trainer, or studying to become one, with an in-depth look into the role of the trainer in relation to codes of conduct and client care. This comprehensive book contains practical tips and advice for designing a range of exercise programmes for clients. It also focuses on the best ways to sustain a financially successful personal training business and stand out from the crowd. This new third edition includes: - Brand-new illustrated stretches and exercises - Advice on training at home or outdoors - A spotlight on client well-being - Updated government guidelines, statistics and scientific findings - Guidance on adapting exercises for disabled or vulnerable clients - National guidelines for nutrition and weight. This is essential reading for personal trainers in the health and fitness industry and for those teaching or studying for qualifications in this area.

Fundamentals of Brain Network Analysis

Fundamentals of Brain Network Analysis
Author: Alex Fornito
Publisher: Academic Press
Total Pages: 496
Release: 2016-03-04
Genre: Medical
ISBN: 0124081185
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Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. - Winner of the 2017 PROSE Award in Biomedicine & Neuroscience and the 2017 British Medical Association (BMA) Award in Neurology - Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems - Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience - Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain

Fundamentals of Communications and Networking

Fundamentals of Communications and Networking
Author: Michael G. Solomon
Publisher: Jones & Bartlett Learning
Total Pages: 592
Release: 2021-01-15
Genre: Computers
ISBN: 1284230090
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Today's networks are required to support an increasing array of real-time communication methods. Video chat and live resources put demands on networks that were previously unimagined. Written to be accessible to all, Fundamentals of Communications and Networking, Third Edition helps readers better understand today's networks and the way they support the evolving requirements of different types of organizations. While displaying technical depth, this new edition presents an evolutionary perspective of data networking from the early years to the local area networking boom, to advanced IP data networks that support multimedia and real-time applications. The Third Edition is loaded with real-world examples, network designs, and network scenarios that provide the reader with a wealth of data networking information and practical implementation tips. Key Features of the third Edition: - Introduces network basics by describing how networks work - Discusses how networks support the increasing demands of advanced communications - Illustrates how to map the right technology to an organization's needs and business goals - Outlines how businesses use networks to solve business problems, both technically and operationally.

Analyzing Social Media Networks with NodeXL

Analyzing Social Media Networks with NodeXL
Author: Derek Hansen
Publisher: Morgan Kaufmann
Total Pages: 301
Release: 2010-09-14
Genre: Computers
ISBN: 0123822300
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Analyzing Social Media Networks with NodeXL offers backgrounds in information studies, computer science, and sociology. This book is divided into three parts: analyzing social media, NodeXL tutorial, and social-media network analysis case studies. Part I provides background in the history and concepts of social media and social networks. Also included here is social network analysis, which flows from measuring, to mapping, and modeling collections of connections. The next part focuses on the detailed operation of the free and open-source NodeXL extension of Microsoft Excel, which is used in all exercises throughout this book. In the final part, each chapter presents one form of social media, such as e-mail, Twitter, Facebook, Flickr, and Youtube. In addition, there are descriptions of each system, the nature of networks when people interact, and types of analysis for identifying people, documents, groups, and events. - Walks you through NodeXL, while explaining the theory and development behind each step, providing takeaways that can apply to any SNA - Demonstrates how visual analytics research can be applied to SNA tools for the mass market - Includes case studies from researchers who use NodeXL on popular networks like email, Facebook, Twitter, and wikis - Download companion materials and resources at https://nodexl.codeplex.com/documentation

Proceedings of the XVII International symposium Symorg 2020

Proceedings of the XVII International symposium Symorg 2020
Author: Dušan Starčević
Publisher: FON
Total Pages: 751
Release: 2020-06-30
Genre: Business & Economics
ISBN: 8676803854
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Ever since 1989, the Faculty of Organizational Sciences, University of Belgrade, has been the host of SymOrg, an event that promotes scientific disciplines of organizing and managing a business. Traditionally, the Symposium has been an opportunity for its participants to share and exchange both academic and practical knowledge and experience in a pleasant and creative atmosphere. This time, however, due the challenging situation regarding the COVID-19 pandemic, we have decided that all the essential activities planned for the International Symposium SymOrg 2020 should be carried out online between the 7th and the 9th of September 2020. We are very pleased that the topic of SymOrg 2020, “Business and Artificial Intelligence”, attracted researchers from different institutions, both in Serbia and abroad. Why is artificial intelligence a disruptive technology? Simply because “it significantly alters the way consumers, industries, or businesses operate.” According to the European Commission document titled Artificial Intelligence for Europe 2018, AI is a key disruptive technology that has just begun to reshape the world. The Government of the Republic of Serbia has also recognized the importance of AI for the further development of its economy and society and has prepared an AI Development Strategy for the period between 2020 and 2025. The first step has already been made: the Science Fund of the Republic of Serbia, after a public call, has selected and financed twelve AI projects. This year, more than 200 scholars and practitioners authored and co-authored the 94 scientific and research papers that had been accepted for publication in the Proceedings. All the contributions to the Proceedings are classified into the following 11 sections: Information Systems and Technologies in the Era of Digital Transformation Smart Business Models and Processes Entrepreneurship, Innovation and Sustainable Development Smart Environment for Marketing and Communications Digital Human Resource Management Smart E-Business Quality 4.0 and International Standards Application of Artificial Intelligence in Project Management Digital and Lean Operations Management Transformation of Financial Services Methods and Applications of Data Science in Business and Society We are very grateful to our distinguished keynote speakers: Prof. Moshe Vardi, Rice University, USA, Prof. Blaž Zupan, University of Ljubljana, Slovenia, Prof. Vladan Devedžić, University of Belgrade, Serbia, Milica Đurić-Jovičić, PhD, Director, Science Fund of the Republic of Serbia, and Harri Ketamo, PhD, Founder & Chairman of HeadAI ltd., Finland. Also, special thanks to Prof. Dragan Vukmirović, University of Belgrade, Serbia and Prof. Zoran Ševarac, University of Belgrade, Serbia for organizing workshops in fields of Data Science and Machine Learning and to Prof. Rade Matić, Belgrade Business and Arts Academy of Applied Studies and Milan Dobrota, PhD, CEO at Agremo, Serbia, for their valuable contribution in presenting Serbian experiences in the field of AI. The Faculty of Organizational Sciences would to express its gratitude to the Ministry of Education, Science and Technological Development and all the individuals who have supported and contributed to the organization of the Symposium. We are particularly grateful to the contributors and reviewers who made this issue possible. But above all, we are especially thankful to the authors and presenters for making the SymOrg 2020 a success!

Predictive HR Analytics

Predictive HR Analytics
Author: Dr Martin R. Edwards
Publisher: Kogan Page Publishers
Total Pages: 537
Release: 2019-03-03
Genre: Business & Economics
ISBN: 0749484454
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HR metrics and organizational people-related data are an invaluable source of information from which to identify trends and patterns in order to make effective business decisions. But HR practitioners often lack the statistical and analytical know-how to fully harness the potential of this data. Predictive HR Analytics provides a clear, accessible framework for understanding and working with people analytics and advanced statistical techniques. Using the statistical package SPSS (with R syntax included), it takes readers step by step through worked examples, showing them how to carry out and interpret analyses of HR data in areas such as employee engagement, performance and turnover. Readers are shown how to use the results to enable them to develop effective evidence-based HR strategies. This second edition has been updated to include the latest material on machine learning, biased algorithms, data protection and GDPR considerations, a new example using survival analyses, and up-to-the-minute screenshots and examples with SPSS version 25. It is supported by a new appendix showing main R coding, and online resources consisting of SPSS and Excel data sets and R syntax with worked case study examples.