A4 Refereed article in a conference publication

Global Megatrends and Global GDP in 2004–2021: An Empirical Big Data Look at John Naisbitt’s 12 Key Global Megatrend Variables and Global GDP PPP




AuthorsKaivo-oja Jari, Santonen Teemu

EditorsLorna Uden, I-Hsien Ting

Conference nameInternational Conference on Knowledge Management in Organizations

Publishing placeCham

Publication year2023

JournalCommunications in Computer and Information Science

Book title Knowledge Management in Organisations: 17th International Conference, KMO 2023, Bangkok, Thailand, July 24–27, 2023, Proceedings

Series titleCommunications in Computer and Information Science

Volume1825

First page 169

Last page181

ISBN978-3-031-34044-4

eISBN978-3-031-34045-1

ISSN1865-0929

eISSN1865-0937

DOIhttps://doi.org/10.1007/978-3-031-34045-1_15

Web address https://doi.org/10.1007/978-3-031-34045-1_15


Abstract

This study presents a big data-driven estimate of John Naisbitt’s 12 megatrends and global economic growth. Empirical assessments and statistical monitoring analyses are presented for the years 2004–2021. The study assesses the intensity of megatrends and the direction of megatrend development based on big data from Google Trends. The study also presents a correlation analysis of the relationship between the 12 megatrend variables and global economic growth (GDP PPP). Half of the trends (N = 6) are on an upward trend, one-third of them (N = 4) are declining, and the remaining two trends follow an irregular path. The analysis of megatrends also reveals significant popularity differences between the trends. Importantly, megatrends are not stable entities, and unexpected events such as a pandemic or economic crisis appear to have a significant impact on them. Megatrends also have strong positive or negative interlinkages with each other.



Last updated on 2024-26-11 at 11:52