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
- Şükrü Mustafa Kaya (ORCID: https://orcid.org/0000-0003-2710-0063)
- Vildan Bayram (ORCID: https://orcid.org/0000-0001-9781-4980)
- Mustafa Özkan (ORCID: https://orcid.org/0000-0002-0308-5885)
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