AI Revolution in HRM: The New Scorecard, Ashwani Kumar Upadhyay, Jayanthi Iyengar, Komal Khandelwal
Автор: Ashwani Kumar Upadhyay, Jayanthi Iyengar, Komal Khandelwal Название: AI Revolution in HRM: The New Scorecard ISBN: 9353886945 ISBN-13(EAN): 9789353886943 Издательство: Sage Publications Рейтинг: Цена: 2059.00 р. Наличие на складе: Поставка под заказ.
Описание: With AI being touted as the new kid on the block, the HR function in organizations is witnessing a sea change with the advent of new data-driven analytical processes. Till now HR has been about employees already working within an organization and potential entrants to it. What happens when machines and bots enter the scene?
AI Revolution in HRM is all about debunking the conventional wisdom and redrawing the contours of passé management to include machines into its definition. This book discusses the benefit, challenges and applications of AI in the HR function. It also highlights issues in implementation and considers the impact of AI-based HR systems in the organization. Further, the book provides tips and insights on how to deal with the challenges and implementation issues ranging from data privacy to system bias and up-skilling of current employees. It is builds on a wide variety of cases ranging from large global organizations to startups. This book will ensure that HR professionals and general readers fully understand the concepts of AI and its relevance to the HR profession. Equipped with the knowledge of AI-based tools and systems, it will help the HR department make their organizations more vibrant and stable by embracing the developments in AI technology. AI Revolution in HRM will be an insightful and helpful read for HR professionals and AI enthusiast.
For decades now, organizations have been struggling to find the best way to address their social and environmental responsibilities alongside their economic obligations. In other words, they want to know how best to effectively manage their operations based on a triple bottom line (3BL)--one that reflects social, environmental, and economic performance.
Recently, an international standard for integrated reporting has emerged that in principle emphasizes the importance of managing toward a triple bottom line. But it fails to provide specific guidance on how to do so. Organizations have been left to their own devices to respond. How should 3BL management actually be done?
In this book, sustainability and performance experts Martin Thomas and Mark McElroy introduce the world's most advanced 3BL performance accounting methodology: The MultiCapital Scorecard. It is the first context-based integrated measurement, management, and reporting system. And, it can help corporations, public institutions, and other organizations answer the question they should be asking themselves for every aspect of their operations: "How much is enough for us to be sustainable?" The answers set internal performance standards against which operations and their impacts can be measured. Nothing less will do
The MultiCapital Scorecard describes this open-source methodology, which consists of a structured, quantitative measurement and reporting system that complies with international standards for 3BL integrated measurement and reporting. Moreover, the MultiCapital Scorecard is designed to help organizations assess their own 3BL performance in their own contexts with context-based metrics of their own choosing. An eminently practical management aid for integrated thinking, it can be tailored to any organization's needs.
The authors also describe how and why businesses are gradually shifting from managing impacts on only one type of capital (economic) to managing impacts on multiple types. They also provide detailed examples of worked reports, showing how organizations might develop and quantify the interim and long-term goals to meet their obligations to their employees, community, shareholders, and the environment. The examples also show how an organization can use the Multicapital Scorecard methodology to assess their progress in meeting those goals, and convey that progress to their stakeholders.
Автор: Hoberman, Steve Название: Data model scorecard ISBN: 1634620828 ISBN-13(EAN): 9781634620826 Издательство: Gazelle Book Services Рейтинг: Цена: 10937.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Data models are the main medium used to communicate data requirements from business to IT, and within IT from analysts, modelers, and architects, to database designers and developers. Therefore it's essential to get the data model right. But how do you determine right? That's where the Data Model Scorecard(R) comes in.
The Data Model Scorecard is a data model quality scoring tool containing ten categories aimed at improving the quality of your organization's data models. Many of my consulting assignments are dedicated to applying the Data Model Scorecard to my client's data models - I will show you how to apply the Scorecard in this book.
This book, written for people who build, use, or review data models, contains the Data Model Scorecard template and an explanation along with many examples of each of the ten Scorecard categories. There are three sections:
In Section I, Data Modeling and the Need for Validation, receive a short data modeling primer in Chapter 1, understand why it is important to get the data model right in Chapter 2, and learn about the Data Model Scorecard in Chapter 3.
In Section II, Data Model Scorecard Categories, we will explain each of the ten categories of the Data Model Scorecard. There are ten chapters in this section, each chapter dedicated to a specific Scorecard category:
Chapter 4: Correctness
Chapter 5: Completeness
Chapter 6: Scheme
Chapter 7: Structure
Chapter 8: Abstraction
Chapter 9: Standards
Chapter 10: Readability
Chapter 11: Definitions
Chapter 12: Consistency
Chapter 13: Data
In Section III, Validating Data Models, we will prepare for the model review (Chapter 14), cover tips to help during the model review (Chapter 15), and then review a data model based upon an actual project (Chapter 16).
