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A quantitative analysis of public attitudes towards the fourth industrial revolution: an integrated technology adoption model in South Africa.

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Date

2024

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Abstract

The impact of technology on society is a multifaceted and intricate issue in a rapidly changing world of constant technological advancements. The emergence of the Fourth Industrial Revolution (4IR) has sparked a growing debate regarding its potential opportunities and challenges for various societies. While robots have been utilized for over 50 years in previous industrial revolutions, their recent integration into domestic and different work environments through the 4IR is a modern development. Social robots are now deployed to perform tasks that were previously performed by humans and are used in scenarios where they must interact with people. Despite the significance of these changes for human development, there has been limited research on public attitudes towards such advancements of the 4IR in South Africa. This study investigated the relationship between micro-level sociological characteristics and attitudes towards the 4IR using survey data from the South African Social Attitudes Survey (SASAS) among a sample of adult respondents (n=2736) in South Africa. The study adopted a positivist paradigm and a quantitative approach and sought to contribute to the understanding of public perceptions of the 4IR in South Africa. Existing attitudinal adoption models were reviewed, and the study used these to develop an integrated framework that harmonized these theories. This framework incorporated a dimension of micro-sociological indicators and categorized attitudes into two distinct categories. The use of micro-sociological indicators in the technology adoption model was an important approach that allowed for a more comprehensive understanding of public attitudes towards the Fourth Industrial Revolution (4IR) in South Africa at the micro-level. Unlike traditional adoption models that focus solely on macro-level factors such as economic and institutional conditions, micro-sociological indicators consider individual-level characteristics such as race, social class, knowledge, age, and gender. . The study findings revealed a distinct social class effect, highlighting heightened scepticism toward the Fourth Industrial Revolution (4IR) among individuals in lower social classes, those with worker vulnerability, and those lacking internet access. A crucial recommendation is to challenge the prevailing narrative of elitism linked to technological progress and emphasizes targeted investments in historically marginalized communities. South Africa can learn from the experiences of other nations and consider implementing comprehensive strategies involving policy interventions, public-private partnerships, and social initiatives. Exploring the feasibility of universal basic income as a social safety net would be prudent, aligning with global trends in addressing the socio-economic impact of automation and technological advancements.

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Doctoral Degree. University of KwaZulu-Natal, Durban.

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