Covers various topics of gamification technologies and applications, plus methodologies for developing these applications Gamification uses game elements and game techniques in non-game context, e.g. to encourage engagement with a product or service. In recent years, gamification has become one of the major trends in information systems. However, the kinds of gamification approaches and applications that have been used up to date have been under-researched. This book introduces a modern and updated approach to gamification, including its techniques, technologies, and various applications. The author presents the design process for gamification and clearly illustrates how gamification motivates people to engage in their industry. To assist in reader comprehension, the work also includes case studies for gamification in the entertainment, healthcare, retail, education, and software development industries. Sample topics covered within the work include: <ul> <li>An introduction to gamification, game elements, and game design techniques</li> <li>Game mechanics, game dynamics, and gamification in the context of virtual economy</li> <li>How the gamification experience can be enhanced through wearable devices and systems, augmented reality, virtual currencies, big data intelligence and AI, and cloud computing</li> <li>The many applications of gamification in entertainment, healthcare, retail, education, and software development</li> <li>Developmental trends of gamification in technology and business</li> </ul> For gamification practitioners and students enrolled in gamification courses, Big Data Analytics: A Perspective of Machine Learning Over Massive Datasets serves as a complete and comprehensive resource to understand and apply the concept of gamification throughout many different industries in a variety of cutting-edge ways.

Big Data Analytics: A Perspective of Machine Learning Over Massive Datasets

Computers & Technology

Luo, Zongwei

Games & Strategy Guides

Wiley-IEEE Computer Society Pr

As time and distance become conquerable in a global economy, understanding the future of supply chain management is the process of understanding how the world interacts. Innovations in Logistics and Supply Chain Management Technologies for Dynamic Economies disseminates supply chain management and applied logistic theories, technology development, innovation, and transformation in various economic sectors upon current, advancing technological opportunities and market imperatives. In a world where efficiency is crucial, applied research and developments in logistics and supply chain management included in this volume is paramount.

Innovations In Logistics And Supply Chain Management Technologies For Dynamic Economies

Business Science Reference

See the best price to sell, buy, or rent books by Luo, Zongwei. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Luo, Zongwei

See the best price to sell, buy, or rent books by Luo, Zongwei. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Big Data Analytics: A Perspective of Machine Learning Over Massive Datasets

Innovations In Logistics And Supply Chain Management Technologies For Dynamic Economies