Evaluation of the intergenerational relationship of IoT awareness in businesses

This study aimed to examine the Internet of Things (IoT) awareness levels of generations with different demographic characteristics of society. In the research, sample selection was made from production, agriculture and service sectors. In the research, the relationship between IoT awareness was examined according to the demographic characteristics of the participants such as generation, gender, line of business, education level and social media usage intensity. The research was analysed using AMOS for path analysis for the model assumption and SPSS 24.0 for other analyses. Parametric and nonparametric hypothesis tests performed at the 0.05 significance level showed that there was no significant difference in IoT awareness levels depending on demographic characteristics. These results show that, despite the common belief that Generation Z is different from previous generations, there is no significant separation in IoT awareness compared to other generations. The research results support that the level of IoT awareness is not determined by the demographic characteristics examined and is generally widespread in society. These findings show that IoT technology is becoming increasingly widespread and reaching every segment of society.

Authors

Publication Details

Journal
Journal of Information and Optimization Sciences
Published
2025-01-01
DOI
https://doi.org/10.47974/jios-1971
Citations
2
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
4.21
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article

Evaluation of the intergenerational relationship of IoT awareness in businesses

Şükrü Mustafa Kaya, Vildan Bayram, Mustafa Özkan
2 citations
Journal of Information and Optimization Sciences
Impact of AI and Big Data on Business and Society
4.21
article

Evaluation of the intergenerational relationship of IoT awareness in businesses

Şükrü Mustafa Kaya, Vildan Bayram, Mustafa Özkan
article en
2 citations

Abstract

This study aimed to examine the Internet of Things (IoT) awareness levels of generations with different demographic characteristics of society. In the research, sample selection was made from production, agriculture and service sectors. In the research, the relationship between IoT awareness was examined according to the demographic characteristics of the participants such as generation, gender, line of business, education level and social media usage intensity. The research was analysed using AMOS for path analysis for the model assumption and SPSS 24.0 for other analyses. Parametric and nonparametric hypothesis tests performed at the 0.05 significance level showed that there was no significant difference in IoT awareness levels depending on demographic characteristics. These results show that, despite the common belief that Generation Z is different from previous generations, there is no significant separation in IoT awareness compared to other generations. The research results support that the level of IoT awareness is not determined by the demographic characteristics examined and is generally widespread in society. These findings show that IoT technology is becoming increasingly widespread and reaching every segment of society.

Journal of Information and Optimization SciencesVol. 46(5)
Openalex Percentile: Top 6%
Impact of AI and Big Data on Business and Society
4.21
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Evaluation of the intergenerational relationship of IoT awareness in businesses — Şükrü Mustafa Kaya, Vildan Bayram, et al. · Journal of Information and Optimization Sciences (2025) | TGRS Research Map | TGRS