Join thousands of book lovers
Sign up to our newsletter and receive discounts and inspiration for your next reading experience.
By signing up, you agree to our Privacy Policy.You can, at any time, unsubscribe from our newsletters.
In today's rapidly evolving digital landscape, entrepreneurs in the grocery retail industry face numerous challenges in navigating the complexities of online operations and services. As social media platforms have emerged as powerful communication tools for marketing, promotion, and customer service, a fundamental shift has occurred in the marketing landscape. This transformation has granted businesses unprecedented access to monitor customer behavior and preferences. By leveraging social media communications, sellers work diligently to effectively target their desired audience by strategically positioning and categorizing data. Influences of Social Media on Consumer Decision-Making Processes in the Food and Grocery Industry delves into the transformative power of social media and digital marketing techniques, shedding light on how businesses strategically employ online communication strategies to sway consumers' purchasing decisions. This comprehensive book explores the tireless efforts of grocery and food entrepreneurs to evaluate the far-reaching effects of social media on the consumer decision-making process. It investigates various web-based social media platforms and tools, delves into the impact of social media and mobile apps, and examines the utilization of cutting-edge Information & Communication Technologies (RFID, QR codes, NFC, cloud, SaaS, mobile devices, robots, and more) within the grocery and food sector. By studying the present landscape, this book not only sheds light on the current state of social media communications but also offers valuable insights into the future trajectory of this dynamic industry. Entrepreneurs, marketers, researchers, and policymakers alike will find this book an indispensable resource for understanding the profound impact of social media on the ever-evolving grocery and food landscape.
Image processing integrates and extracts data from photos for a variety of uses. Applications for image processing are useful in many different disciplines. A few examples include remote sensing, space applications, industrial applications, medical imaging, and military applications. Imaging systems come in many different varieties, including those used for chemical, optical, thermal, medicinal, and molecular imaging. To extract the accurate picture values, scanning methods and statistical analysis must be used for image analysis. Thrust Technologies' Effect on Image Processing provides insights into image processing and the technologies that can be used to enhance additional information within an image. The book is also a useful resource for researchers to grow their interest and understanding in the burgeoning fields of image processing. Covering key topics such as image augmentation, artificial intelligence, and cloud computing, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.
Recently, several fog computing applications have been developed like IoT-based healthcare, 5G, blockchains, autonomous driving, and mobile wireless applications. They also address challenges such as data management, scalability, regulations, interoperability, device network human interfaces, security, and privacy. Further study on these applications is required to ensure this technology is utilized appropriately. Multi-Disciplinary Applications of Fog Computing: Responsiveness in Real-Time focuses on fog computing problems and solutions for various applications and covers the new approaches, architecture, and theoretical foundations in the fog paradigm of storage, communication, and computing. The book explores recent trends and challenges that lead to a potential course for the ideas, practices, norms, and strategies related to fog computing. Covering key topics such as data privacy, data analytics, and the internet of things, this reference work is ideal for computer scientists, policymakers, researchers, scholars, practitioners, instructors, and students.
Indigenous knowledge is regarded as undocumented cultural, local, traditional, and community knowledge produced and owned by local people in their specific communities. It is mainly preserved in the memories of elders and shared or passed on from generation to generation through oral communication, traditional practices, and demonstrations. This irreplaceable resource may be lost forever as a direct result of the pressures of modernization, colonization, and globalization. Concern over the loss of Indigenous knowledge has thus raised a need for the preservation and documentation of this knowledge in digital formats. Digital Preservation and Documentation of Global Indigenous Knowledge Systems determines how Indigenous knowledge can be documented and digitally preserved to benefit Indigenous knowledge owners and their communities and be accessible for future generations. The book provides the best practices, innovative strategies, theoretical and conceptual frameworks, and empirical research findings regarding the digital preservation and documentation of Indigenous knowledge systems worldwide. Covering topics such as digital media platforms, educational management, and knowledge systems, this premier reference source is a valuable and useful tool for students, information professionals, knowledge managers, records managers, Indigenous knowledge owners, Indigenous community leaders, librarians, archivists, computer scientists, information technology specialists, students and educators of higher education, researchers, and academicians.
Blockchain and artificial intelligence (AI) techniques play a crucial role in dealing with large amounts of heterogeneous, multi-scale, and multi-modal data coming from the internet of things (IoT) infrastructures. Therefore, further discussion on how the fusion of blockchain, IoT, and AI allows the design of models, mathematical models, methodologies, algorithms, evaluation benchmarks, and tools to address challenging problems related to health informatics, healthcare, and wellbeing is required. Contemporary Applications of Data Fusion for Advanced Healthcare Informatics covers the integration of IoT and AI to tackle applications in smart healthcare and discusses the efficient means to collect, monitor, control, optimize, model, and predict healthcare data using blockchain, AI, and IoT. The book also considers the advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. Covering key topics such as disruptive technology, electronic health records, and medical data, this premier reference source is ideal for computer scientists, nurses, doctors, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.
"This book provides an overview of the important elements of education law in Ontario, Canada, as education is under provincial jurisdiction in the country. It also briefly describes similar education law contents in California, the United States, as in the US education is mainly under the control of states and California is the most populous state. In addition, the book delineates corresponding contents in Chinese education law, as China has the largest education system in the world"--
Sign up to our newsletter and receive discounts and inspiration for your next reading experience.
By signing up, you agree to our Privacy Policy.