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Human resource management (HRM) systems are an under-researched area in family business studies even though they arguably play an important role. To exploit their entrepreneurial orientation and achieve their goals, family firms must be willing to adopt a specific configuration of the organizational variables to succeed in the competitive environment of today. Designing and Implementing HR Management Systems in Family Businesses is a pivotal reference source that focuses on HRM in family businesses aiming at clarifying what HRM topics are relevant in family firms given their distinctive features, what the role of HR choices in family firms is, and how they differ in these organizations. While highlighting topics such as quality of work, generational workforce, and leadership management, this publication explores the relationship between HRM systems and the organization as well as why certain theories would be more dominant for family firms. This book is ideally designed for family businesses, managers, executives, entrepreneurs, business professionals, academicians, students, and researchers.
This proceedings book emphasizes adopting artificial intelligence-based and sustainable energy efficiency integrated with clear objectives, to involve researchers, students, and specialists in their development and implementation adequately in achieving objectives. The integration of artificial intelligence into renewable energetic systems would allow the rapid development of a knowledge-based economy suitable to the energy transition, while fully integrating the renewables into the global economy. This is how artificial intelligence has hand in by conceptualizing this transition and above all by saving time. The knowledge economy is valuated within the smart cities, which are fast becoming the favorite places where the energy transition will take place efficiently and intelligently by implementing integrated approaches to energy saving and energy supply and integrated urban approaches that go beyond individual interventions in buildings or transport modes using information and communication technologies.
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This book highlights the state-of-the-art research on data usage, security, and privacy in the scenarios of the Internet of Things (IoT), along with related applications using Machine Learning and Big Data technologies to design and make efficient Internet-compatible IoT systems. ICT and Data Sciences brings together IoT and Machine Learning and provides the careful integration of both, along with many examples and case studies. It illustrates the merging of two technologies while presenting basic to high-level concepts covering different fields and domains such as the Hospitality and Tourism industry, Smart Clothing, Cyber Crime, Programming, Communications, Business Intelligence, all in the context of the Internet of Things. The book is written for researchers and practitioners, working in Information Communication Technology and Computer Science.
With its nuanced presentation of the theoretical and practical implications, this book expands our understanding of how property rights work in today's world.
Teknika: Jurnal Sains dan Teknologi Volume 17, Number 2, 2021
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Population growth, reproductive health and reproductive rights are amongst the most pressing issues facing governments and the international community. Since the world's governments agreed for the first time on far-reaching and enlightened population policies at the 1994 International Conference on Population and Development (ICPD) in Cairo, a good deal of progress has been made on these issues, but major challenges remain. This fully updated edition of Creating a New Consensus on Population charts international progress on efforts to address population and development, reproductive health, reproductive rights, religion, contraception and the empowerment of women. Historical coverage include...