This is electronic, social, mobile, analytics, cloud, security computing paradigms. It is from e-SMCS goods and services supported by digital technologies including eSMACS technologies.
Published in Chapter:
Big Data-Driven Socioeconomic Development: An Interdisciplinary Approach
Zhaohao Sun (Papua New Guinea University of Technology, Papua New Guinea),
Zhiyou Wu (Chongqing Normal University, China), and Kenneth David Strang (Data Analytics, US Virgin Islands)
Copyright: © 2023
|Pages: 21
DOI: 10.4018/978-1-6684-5959-1.ch001
Abstract
This chapter will examine big data-driven socioeconomic development from an interdisciplinary approach. More specifically, it explores the big characteristics of big data from a fundamental, technological, and socio-economic perspective. It reviews digital computing and digital technologies. This chapter looks at digital industry, trade, and economy, and analyzes the role of electronic, social, mobile, analytics, cloud, and security (eSMACS) goods and services in digital trade and economy. This chapter presents gross domestic data products (GDDP) as a GDP-like data metric for measuring economic performance and social progress. It proposes big data-driven socioeconomic development, supported by big data-driven technologies, services, economies, and societies. This research demonstrates that big data-driven eSMACS technologies, services, economies, and societies underpin the big data-driven socioeconomic development. The proposed approach in this chapter might facilitate the research of big data, big data analytics, socioeconomic development, AI, and digital society.