Exploring Consumer Behaviour and Technology Usage: Insights and Implications for Industry

Authors

  • Joydeep Mookerjee, Subir Chattopadhyay

DOI:

https://doi.org/10.17762/msea.v71i4.2478

Abstract

The rapid advancement of technology has significantly influenced how individuals interact with the world around them. It has become increasingly important for technology companies and policymakers to understand how consumers adopt technology and what factors influence their adoption decisions. This empirical research paper aims to investigate how consumers adopt the technology by conducting a random survey among 108 consumers. The study produces several hypotheses that are tested through data analysis. The results show that security concerns persist as a significant factor influencing the frequency of technology usage. Consumers are more likely to use technology when they feel that their data and information are secure. This highlights the importance of designing certain technologies and implementing effective security measures to increase adoption rates. The study also finds that males spend more time learning new technology than females. This indicates that gender plays a crucial role in shaping technology literacy, and targeted approaches may be necessary to increase female technology literacy. The study does not find any difference in knowledge between people with desk jobs and unemployed individuals. This implies that factors other than occupation play a more significant role in shaping technology literacy levels. The study also highlights a significant difference among different age groups regarding their opinions about the need for new technology. The youngest age group has the most strong opinion on the market for new technology. This may be because more youthful individuals are more exposed to technology and are more likely to adopt new technologies as they become available.

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Published

2022-06-25

How to Cite

Subir Chattopadhyay, J. M. . (2022). Exploring Consumer Behaviour and Technology Usage: Insights and Implications for Industry. Mathematical Statistician and Engineering Applications, 71(4), 12680–12697. https://doi.org/10.17762/msea.v71i4.2478

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Section

Articles