Seniors’ Knowledge-Based Digital Marginalization in the Era of Information Technology Advancements

Yanglin Li, Yuezheng Yang, Shuyao Shi (), Bin Wang and Guangquan Chen
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Yanglin Li: Qingdao Film Academy
Yuezheng Yang: Beijing Normal University - Hong Kong Baptist University United International College
Shuyao Shi: Beijing Normal University - Hong Kong Baptist University United International College
Bin Wang: Beijing Normal University - Hong Kong Baptist University United International College
Guangquan Chen: Hong Kong Baptist University

Journal of the Knowledge Economy, 2024, vol. 15, issue 3, No 95, 12622-12650

Abstract: Abstract In an era marked by rapid digitalization and the ubiquity of information technology, society is witnessing a transformative shift toward more sophisticated and intelligent living and working environments. While this technological wave is readily embraced by the younger generation, who find convenience and utility in its offerings, a pressing global concern looms large—the ever-escalating challenge of population aging, which has reached unprecedented levels. The elderly, though esteemed, often find themselves grappling with the intricacies of adapting to an array of digital products and services, resulting in a stark consequence: digital exclusion and division, effectively sidelining China’s elderly citizens in an increasingly digitized and intelligent society. Against this backdrop, the harsh spotlight cast by the COVID-19 pandemic on the elderly, seemingly relegated to the margins of society, underscores the glaring dearth of research dedicated to probing the nuances of digital exclusion among China’s older adults. This study takes up the crucial mission of dissecting the multifaceted factors contributing to digital exclusion and unraveling the intricate dilemmas surrounding digital inclusion for the elderly. Employing a multifaceted research approach, including offline questionnaires and online data collection, the study harnesses statistical analysis methods to uncover the underpinnings of digital rejection among China’s elderly. This analytical journey yields a treasure trove of influential factors, culminating in the creation of a comprehensive evaluation system. The study assigns appropriate weights to these influential factors and employs a random forest model to forecast the extent of digital exclusion among the elderly residing in diverse regions of Tianjin. As a culmination of this extensive investigative endeavor, the study offers a collection of recommendations and strategies aimed at alleviating the predicament of digital exclusion encountered by China’s elderly population in the contemporary internet age.

Keywords: Elderly digital inclusion; Aging population; Digital exclusion factors; Random forest analysis; Knowledge-based economy (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s13132-023-01600-6

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