As advancements in technology continue to influence all facets of society, its aspects have been utilized in order to find solutions to emerging ecological issues. Creating a Sustainable Ecology Using Technology-Driven Solutions highlights matters that relate to technology driven solutions towards the combination of social ecology and sustainable development. This publication addresses the issues of development in advancing and transitioning economies through creating new ideas and solutions; making it useful for researchers, practitioners, and policy makers in the socioeconomic sectors.

"This book highlights matters that relate to technology driven solutions toward the combination of social ecology and sustainable development, addressing the issues of development in advancing and transitioning economies through creating new ideas and solutions"--Provided by publisher.

The hypercomplex digital-technological environment is exponential and revolutionary. Our social mindset adaptation, instead, is slower and evolutionary, as an individual’s or an organization culture needs time to transform. This book offers students, institutions, and organisations innovative and interdisciplinary digital sociology tools to help build an adaptive, flexible, imaginative social mindset in order to cope with such a gap and to match a sustainable digital transformation (DT). By disrupting traditional linear approaches to understand the context into which business models are designed, institutions and students are challenged with innovative transdisciplinary holistic models grounded into business case studies. If the book stimulates students to learn how purposefully and autonomously to explore the web, to grasp the deeper meaning of DT and its social impact, institutions are solicited to answer to direct quests that go right to the core of their transformative DNA as: ‘How effectively are you carrying on DT in a sustainable, people-centred way? Which is your socio-cultural DT profile and what are your DT areas of strength and areas of improvement?' In this frame of work, the innovative Four Paradigm Model indicates new coordinates and provides original tools to profile an institution’s digital transformation strategy, to analyse it, and measure the level of sustainable socio-economic value. Sample syllabi, PowerPoint slides and quizzes are available online to assist in the teaching experience.

Due to natural factors and human activity, nature has been changing since the beginning of time. As the environment continuously undergoes such transitions, it is necessary for society to understand the complex interdependency between nature and humanity to promote global sustainability. Promoting Global Environmental Sustainability and Cooperation is a pivotal reference source featuring the latest scholarly research on the rising awareness of environmental issues and their relationships with sustainable development. While highlighting topics including global governance, international business, and sustainable consumption, this book is ideally designed for environmentalists, developers, policy makers, academicians, researchers, and graduate-level students seeking current research on the globalized world in relation to environmental issues.

The purpose of this book is to offer innovative applications of the distillation process. The book is divided in two main sections, one containing chapters that deal with process design and calculations, and the other, chapters that discuss distillation applications. Moreover, the chapters involve wide applications as in fruit spirits production, in organic liquid compounds produced by oil and fats cracking, energy evaluation in distillation processes, and applicability of solar membrane distillation. I believe that this book will provide new ideas and possibilities of the development of innovative research lines for the readers.

Across a variety of disciplines, data and statistics form the backbone of knowledge. To ensure the reliability and validity of data appropriate measures must be taken in conducting studies and reporting findings. Innovations in Measuring and Evaluating Scientific Information provides emerging research on the theoretical base of scientific research and information literacy. While highlighting topics, such as bibliographical databases, forensic research, and trend analysis, this book explores visualization tools, software, and techniques for science mapping and scientific literature. This book is an important resource for scientific researchers, policy makers, research funding agencies, and students.

Ethnodevelopment is a well-established concept in the field of development studies. Despite its relevance to tourism initiatives and processes in the Global South, it continues to be an underutilised concept in the field. This book bridges this gap, presenting an original conceptual framework to study the relationship between tourism and ethnodevelopment. It focuses on the processes of inclusion, empowerment, self-expression and self-determination to explore the effects of tourism initiatives on the identities, cultural resilience, livelihoods and economic opportunities of ethnic minority communities. Chapters explore a range of concepts and issues such as gender, authenticity, indigenous knowledge, tradition, the commodification of culture, community-based tourism, local entrepreneurship, cultural heritage, and tourism and the environment. Drawing on rich primary research conducted across South East Asia and South and Central America the book offers detailed evaluations of the successes and failures of various tourism policies and practices. This book makes a valuable contribution for students, scholars, practitioners and policy-makers alike interested in tourism, development studies, geography and anthropology.

Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensure adequate usage. Modern Technologies for Big Data Classification and Clustering is an essential reference source for the latest scholarly research on handling large data sets with conventional data mining and provide information about the new technologies developed for the management of large data. Featuring coverage on a broad range of topics such as text and web data analytics, risk analysis, and opinion mining, this publication is ideally designed for professionals, researchers, and students seeking current research on various concepts of big data analytics.

Big data has presented a number of opportunities across industries. With these opportunities come a number of challenges associated with handling, analyzing, and storing large data sets. One solution to this challenge is cloud computing, which supports a massive storage and computation facility in order to accommodate big data processing. Managing and Processing Big Data in Cloud Computing explores the challenges of supporting big data processing and cloud-based platforms as a proposed solution. Emphasizing a number of crucial topics such as data analytics, wireless networks, mobile clouds, and machine learning, this publication meets the research needs of data analysts, IT professionals, researchers, graduate students, and educators in the areas of data science, computer programming, and IT development.