To help researchers, educators and policy makers understand and support the development of 21st-century skills in schools, this edited volume explores the various iterations of "soft" skills with a particular focus on their implications for values and evaluates ways in which "soft skills" and "hard" values can be integrated. Discourse throughout the 21st century has focused on the changing nature of work, the need for new skill sets and the disruptive effects of new technologies. This has been a neo-liberal discourse that subordinated personal and individual needs to the needs of a productive workforce delivering more and more efficiencies linked to higher and higher profits. The solution is often seen to be in the development of a school curriculum that focuses on work-ready skills for an increasingly complex work environment and its demands. Agencies such as OECD and UNESCO highlight the need to link the skills agenda with complementary values. Yet this process is at a very early stage. The proponents of the Fourth Industrial Revolution (4IR) for example highlight the impact of new technologies, not just on work but also on the social world. Yet they neglect to explore the values that would be needed in these new disruptive environments. This book takes up that issue and lays out the multiple value systems that are available for this new 21st century world. It is an important resource for policy makers, academics and teachers with responsibility for a new generation.

A Step-by-Step Guide to Showing the Value of Soft Skill Programs As organizations rise to meet the challenges of technological innovation, globalization, changing customer needs and perspectives, demographic shifts, and new work arrangements, their mastery of soft skills will likely be the defining difference between thriving and merely surviving. Yet few executives champion the expenditure of resources to develop these critical skills. Why is that and what can be done to change this thinking? For years, managers convinced executives that soft skills could not be measured and that the value of these programs should be taken on faith. Executives no longer buy that argument but demand the same financial impact and accountability from these functions as they do from all other areas of the organization. In Proving the Value of Soft Skills, measurement and evaluation experts Patti Phillips, Jack Phillips, and Rebecca Ray contend that efforts can and should be made to demonstrate the effect of soft skills. They also claim that a proven methodology exists to help practitioners articulate those effects so that stakeholders’ hearts and minds are shifted toward securing support for future efforts. This book reveals how to use the ROI Methodology to clearly show the impact and ROI of soft skills programs. The authors guide readers through an easy-to-apply process that includes: business alignment design evaluation data collection isolation of the program effects cost capture ROI calculations results communication. Use this book to align your programs with organizational strategy, justify or enhance budgets, and build productive business partnerships. Included are job aids, sample plans, and detailed case studies.

“This is not the kind of book that you’ll read one time and be done with. So scan it quickly the first time through to get an idea of its breadth. Then dig in on one topic of special importance to your work. Finally, use it as a reference to guide your next steps, learn details, and broaden your perspective.” from the foreword by Thomas C. Redman, Ph.D., “the Data Doc” Good data is a source of myriad opportunities, while bad data is a tremendous burden. Companies that manage their data effectively are able to achieve a competitive advantage in the marketplace, while bad data, like cancer, can weaken and kill an organization. In this comprehensive book, Rupa Mahanti provides guidance on the different aspects of data quality with the aim to be able to improve data quality. Specifically, the book addresses: -Causes of bad data quality, bad data quality impacts, and importance of data quality to justify the case for data quality-Butterfly effect of data quality-A detailed description of data quality dimensions and their measurement-Data quality strategy approach-Six Sigma - DMAIC approach to data quality-Data quality management techniques-Data quality in relation to data initiatives like data migration, MDM, data governance, etc.-Data quality myths, challenges, and critical success factorsStudents, academicians, professionals, and researchers can all use the content in this book to further their knowledge and get guidance on their own specific projects. It balances technical details (for example, SQL statements, relational database components, data quality dimensions measurements) and higher-level qualitative discussions (cost of data quality, data quality strategy, data quality maturity, the case made for data quality, and so on) with case studies, illustrations, and real-world examples throughout.

​This book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics techniques in real financial world situations. It offers solutions on how to logically analyze the enormous amount of structured and unstructured data generated every moment in the finance sector. This data can be used by companies, organizations, and investors to create strategies, as the finance sector rapidly moves towards data-driven optimization. This book provides an efficient resource, addressing all applications of data analytics in the finance sector. International experts from around the globe cover the most important subjects in finance, including data processing, knowledge management, machine learning models, data modeling, visualization, optimization for financial problems, financial econometrics, financial time series analysis, project management, and decision making. The authors provide empirical evidence as examples of specific topics. By combining both applications and theory, the book offers a holistic approach. Therefore, it is a must-read for researchers and scholars of financial economics and finance, as well as practitioners interested in a better understanding of financial data analytics.

A new era of innovation is enabled by the integration of social sciences and information systems research. In this context, the adoption of Big Data and analytics technology brings new insight to the social sciences. It also delivers new, flexible responses to crucial social problems and challenges. We are proud to deliver this edited volume on the social impact of big data research. It is one of the first initiatives worldwide analyzing of the impact of this kind of research on individuals and social issues. The organization of the relevant debate is arranged around three pillars: Section A: Big Data Research for Social Impact: • Big Data and Their Social Impact; • (Smart) Citizens from Data Providers to Decision-Makers; • Towards Sustainable Development of Online Communities; • Sentiment from Online Social Networks; • Big Data for Innovation. Section B. Techniques and Methods for Big Data driven research for Social Sciences and Social Impact: • Opinion Mining on Social Media; • Sentiment Analysis of User Preferences; • Sustainable Urban Communities; • Gender Based Check-In Behavior by Using Social Media Big Data; • Web Data-Mining Techniques; • Semantic Network Analysis of Legacy News Media Perception. Section C. Big Data Research Strategies: • Skill Needs for Early Career Researchers—A Text Mining Approach; • Pattern Recognition through Bibliometric Analysis; • Assessing an Organization’s Readiness to Adopt Big Data; • Machine Learning for Predicting Performance; • Analyzing Online Reviews Using Text Mining; • Context–Problem Network and Quantitative Method of Patent Analysis. Complementary social and technological factors including: • Big Social Networks on Sustainable Economic Development; Business Intelligence.

Strong leaders are essential to business success, which makes leadership development a business imperative in today’s competitive environment. Leaders are needed that can do more than manage - leaders are needed that can make a business great. In addition, there is increasing pressure on organizations to demonstrate the wise investment of development dollars. This requires the effective use of leadership development methods, as well as the ability to demonstrate the success of those methods. The Leadership Scorecard combines an explanation and discussion on best practice leadership development methods and incorporates ROI measurement & evaluation methodology.

Step-by-step guidance for implementing an effective statewide longitudinal data system Every U.S. state faces challenges in its efforts to ensure the highest-quality education for students. To address these challenges, a growing number of states are establishing statewide longitudinal data systems (SLDSs), a data-rich system integrating relevant data about a student's education. Implementing Statewide Longitudinal Data Systems for Education presents a detailed and contextualized discussion of SLDSs, which will serve as a recipe for states that want to implement an SLDS, develop design and enactment of new and existing SLDS systems, addressing implementation, operation and optimization. Provides a contextualized discussion of the history and purpose of SLDSs Describes how to plan for and implement an SLDS, including best practices regarding data governance, standards and privacy Discusses proven methods of data management, and details the two most popular methods of database architectures used for SLDSs Provides 5 case studies of states successfully using SLDSs Offers suggestions for expansion and inclusion of new datasets over time This essential book addresses the culture of data concept, providing a guide for states to usher in a new era in their education system where data is invaluable and used by everyone, not simply the newest version of the old system. A robust LDS initiative includes linked student records, teacher records, test scores, course selection, finances, certifications, licensure, salary and more. Concluding with a discussion of the potential future uses of SLDS, this book is the ultimate guide to SLDS implementation and understanding.

Data governance looks simple on paper, but in reality it is a complex issue facing organizations. In this practical guide, data experts Uma Gupta and San Cannon look to demystify data governance through pragmatic advice based on real-world experience and cutting-edge academic research.

The opportunity to pen this introduction to my debut book, "GENDER, SCHOOL AND SOCIETY," is one that fills me with excitement. Consideration of gender in social issues is the topic of this book. Being a boy or a girl has varied implications and experiences in different cultures, eras, and communities. Due to centuries of discrimination, she learned to view herself as a lesser human being and an insignificant tool in the hands of her male counterpart. Her sense of self and confidence were slowly eroded as a result. The more she tried to hide her inner emotions, the more entangled her authentic self became in her predetermined social roles. For almost twenty years, organisations worldwide and governmental strategy statements have prioritised the reduction of gender disparity. In addition to guaranteeing women's right to vote and other civil liberties, the Constitution of India also allows for positive discrimination on the part of the state in favour of women. Our democratic government has enacted laws, development policies, plans, and programmes to help women succeed in a variety of fields. To further ensure women's rights, India has signed on to and ratified a number of international agreements and human rights instruments.

This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. Such endeavors are making new contributions to the globalization and creating a community of shared future. The 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022) was held on August 19 – 21, 2022, in Hulunbuir, China. With the support of experts and professors, the ICBDSS 2022 conference successfully held its first conference last year. In order to allow more scholars to have the opportunity to participate in the conference to share and exchange experience. This conference mainly focused on "big data", "social science" and other research fields to discuss. At present, my country has entered the era of "big data cloud migration", that is, the era of big data, the Internet of things, cloud computing and mobile Internet. The market demand for big data talents is also increasing day by day. The purpose of the conference is to provide a way for experts, scholars, engineering technicians, and technical R&D personnel engaged in big data and social science research to share scientific research results and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research and discussion, and promote the academic achievement industry Platform for chemical cooperation. The conference sincerely invites experts, scholars from domestic and foreign universities, scientific research institutions, business people and other relevant personnel to participate in the conference.