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COVID-19 has disrupted all aspects of human life. To mitigate the impact of the pandemic, several efforts have been taken, including by Indonesian scholars abroad. This book entitled Indonesia Post-Pandemic Outlook: Environment and Technology Role for Indonesia Development explores environment and technology issues and topics related to the COVID-19 pandemic and discusses post-pandemic recovery efforts in Indonesia. Comprising of 19 chapters, this book is divided into four sections. The first section, disaster and greening management development, discusses insights for a better solution in disaster prevention and development of greening management. Second, waste and pollution management deve...
COVID-19 has disrupted all aspects of human life. To mitigate the impact of the pandemic, several efforts have been taken, including by Indonesian scholars abroad. This book entitled Indonesia Post-Pandemic Recovery Outlook: Strategy towards Net-Zero Emissions by 2060 from the Renewables and Carbon-Neutral Energy Perspectives explores energy sustainability and climate change issues and how it can progress further. There are also discussion on the delays caused by the COVID-19 pandemic to a few major renewable energy projects that should have been done in 2020-2021. Comprising of 14 chapters, this book is divided into three sections. The first part, Indonesia's Current Position and Strategy f...
COVID-19 has disrupted all aspects of human life. To mitigate the impact of Cthe pandemic, several efforts have been taken, including by Indonesian scholars abroad. This book entitled Indonesia Post-Pandemic Recovery Outlook: Social Perspectives explores social issues and topics related to the COVID-19 pandemic and discusses post-pandemic recovery efforts in Indonesia. Comprising of 15 chapters, this book is divided into three parts. The first part, Indonesia and COVID-19 recovery: an international political economy lens, focuses on Indonesia's role in responding to international issues and the global political economy during the pandemic and post-pandemic period. Second, Indonesia and COVID...
Over the past few years the application of mentoring in business has risen steeply and more organizations than ever are seeking to utilize its power. 'Implementing Mentoring Schemes' constitutes the most comprehensive and up-to-date coverage of the design, implementation, evaluation and revitalization of mentoring schemes. Although it can be used as a practical "how-to" guide on implementing mentoring schemes, it is ultimately a book that promotes best practice, combining academic research and case studies with many years of practical experience to produce expert advice. It enables readers to fully understand mentoring and to create state-of-the-art programs. In addition, it establishes a tenable case for mentoring that will greatly assist readers in promoting programs within their organization.
Management, Computers, Computer networks, Information exchange, Data processing, IT and Information Management: IT Service Management
Why do good teams fail? Very often, argue Deborah Ancona and Henrik Bresman, it is because they are looking inward instead of outward. Based on years of research examining teams across many industries, Ancona and Bresman show that traditional team models are falling short, and that what’s needed--and what works--is a new brand of team that emphasizes external outreach to stakeholders, extensive ties, expandable tiers, and flexible membership. The authors highlight that X-teams not only are able to adapt in ways that traditional teams aren’t, but that they actually improve an organization’s ability to produce creative ideas and execute them—increasing the entrepreneurial and innovative capacity within the firm. What’s more, the new environment demands what the authors call “distributed leadership,” and the book highlights how X-teams powerfully embody this idea.
This book addresses synergy management, which poses an important challenge for firms, advisors and practitioners involved in mergers and acquisitions (M&A). Synergy plays a key role in M&A contexts, both in the decision-making process and, subsequently, in the integration phase. However, despite the fact that synergy value is commonly regarded as one of the key success factors in M&A, research shows that firms generally fail to achieve the expected synergy. The extant literature is characterized by a lack of comprehensive models of synergy management: the assessment of synergy value remains a “black box” for scholars and practitioners alike. The authors provide a comprehensive framework for synergy management by integrating findings from prior research and various disciplines. The framework highlights the main dimensions of synergy management in mergers and acquisitions, common pitfalls, and new models and tools for avoiding them. As such, the book enriches the M&A literature, offers new insights for scholars, and provides valuable guidelines for practitioners involved in synergy management.
Designated a Doody's Core Title! "This is a valuable resource for readers seeking basic to advanced information on measurement. It should be on the bookshelf of all researchers, and a requirement for graduate nursing students."Score: 100, 5 stars--Doody's Medical Reviews "...this book is a wonderful shelf reference for nurse researcher mentors and investigators who may need to explore content or use content to design, test, select, and evaluate instruments and methods used in measuring nurse concepts and outcomes."--Clinical Nurse Specialist This fourth edition presents everything nurses and health researchers need to know about designing, testing, selecting, and evaluating instruments and m...
Now in its second edition, this handbook collects authoritative contributions on modern methods and tools in statistical bioinformatics with a focus on the interface between computational statistics and cutting-edge developments in computational biology. The three parts of the book cover statistical methods for single-cell analysis, network analysis, and systems biology, with contributions by leading experts addressing key topics in probabilistic and statistical modeling and the analysis of massive data sets generated by modern biotechnology. This handbook will serve as a useful reference source for students, researchers and practitioners in statistics, computer science and biological and biomedical research, who are interested in the latest developments in computational statistics as applied to computational biology.