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The study investigates the influence of ChatGPT on the labor market dynamics, aiming to provide a structured understanding of the changes induced by generative AI technologies.
Abstract
Purpose
The study investigates the influence of ChatGPT on the labor market dynamics, aiming to provide a structured understanding of the changes induced by generative AI technologies.
Design/methodology/approach
An analysis of existing literature serves as the foundation for understanding the impact, while the supply and demand model helps assess the effects of ChatGPT. A text-mining approach is utilized to analyze the International Standard Occupation Classification, identifying occupations most susceptible to disruption by ChatGPT.
Findings
The study reveals that 32.8% of occupations could be fully impacted by ChatGPT, while 36.5% might experience a partial impact and 30.7% are likely to remain unaffected.
Research limitations/implications
While this study offers insights into the potential influence of ChatGPT and other generative AI services on the labor market, it is essential to note that these findings represent potential implications rather than realized labor market effects. Further research is needed to track actual changes in employment patterns and job market dynamics where these AI services are widely adopted.
Originality/value
This paper contributes to the field by systematically categorizing the level of impact on different occupations, providing a nuanced perspective on the short- and long-term implications of ChatGPT and similar generative AI services on the labor market.
Details
Keywords
Felicia Naatu, Ilan Alon, George Kofi Amoako and Dekuwmini Mornah
This study aims to fill the gap on proenvironmental behavior studies among consumers in bottom of the pyramid (BOP) market by examining the relationship between values, beliefs…
Abstract
Purpose
This study aims to fill the gap on proenvironmental behavior studies among consumers in bottom of the pyramid (BOP) market by examining the relationship between values, beliefs and norms among Ghanaian consumers.
Design/methodology/approach
A sample of 324 Ghanaian consumers (responses rate of 64%) was used to estimate the model. The data was analyzed using maximum likelihood robust approach of Lavaan package for structural equation modeling in R.
Findings
The findings show that there is no significant relationship between values and the new ecological worldview, which also does not affect awareness of environmental consequences. However, awareness of consequences, likely based on personal experiences, significantly impacts perceived ability to reduce threats to the environment. Ghanaian consumers are mainly influenced by personal experiences with local environmental consequences that affect their perceived ability to reduce threats to their environment and their willingness to engage in proenvironmental behavior. The study supports the argument that proenvironmental behavior is the result of complex decision-making that might be influenced by a country’s economic situation, infrastructure, culture and institutions.
Research limitations/implications
This study focuses on a single country in Africa. More studies are needed among other base of the pyramid countries, and in comparison to developed countries’ consumers.
Originality/value
The study adds to the limited knowledge regarding sustainable consumption in the neglected context of the bottom of the pyramid market.
Details