Factors Influencing Consumer Adoption of Smart Home Systems: A Socio-Demographic Perspective

Onur Muço; Üstün Özen

Article Details

Factors Influencing Consumer Adoption of Smart Home Systems: A Socio-Demographic Perspective

Authors:

Onur Muço | Üstün Özen

Publisher:

Istanbul University

Main Topics:

İnsan Bilgisayar Etkileşimi

Journal:

Acta Infologica Vol.9 Issue 1, pp.314-338

Document Type:

Article

Publication Date:

6/2025

Document Language:

English

Document ID (Org No.):

2001354872

pISSN:

2602-3563

Keywords:

Abstract:

 The purpose of this research is to determine the factors influencing consumers adoption of smart home systems. Within this context, the relationships between factors such as perceived benefit, perceived risk, functionality, and price and their effects on the adoption of smart home systems were investigated. Additionally, whether there were significant differences in the mentioned factors based on gender, age group, education level, marital status, and income level was investigated. The population of the study consists of individuals living in Turkey who use smart home systems, while the sample comprises 556 individuals selected from this population. The data for the study were collected through a survey and evaluated using quantitative analysis methods. The statistical analyses were conducted using the SPSS 25 software, applying descriptive statistical methods, Pearson correlation analysis, independent samples t-test, and one-way variance analysis. The analyses reveal that consumers overall levels of adoption of smart home systems are slightly above average. However, it is observed that the first three factors significantly influencing the adoption of smart home systems are price, perceived benefit, and function ality, respectively. Furthermore, strong and very strong positive and significant relationships were found among all factors related to the adoption of smart homes. Furthermore, it is concluded that the approach to smart homes varies significantly according to gender, age group, education level, marital status, and income level.

 The purpose of this research is to determine the factors influencing consumers adoption of smart home systems. Within this context, the relationships between factors such as perceived benefit, perceived risk, functionality, and price and their effects on the adoption of smart home systems were investigated. Additionally, whether there were significant differences in the mentioned factors based on gender, age group, education level, marital status, and income level was investigated. The population of the study consists of individuals living in Turkey who use smart home systems, while the sample comprises 556 individuals selected from this population. The data for the study were collected through a survey and evaluated using quantitative analysis methods. The statistical analyses were conducted using the SPSS 25 software, applying descriptive statistical methods, Pearson correlation analysis, independent samples t-test, and one-way variance analysis. The analyses reveal that consumers overall levels of adoption of smart home systems are slightly above average. However, it is observed that the first three factors significantly influencing the adoption of smart home systems are price, perceived benefit, and function ality, respectively. Furthermore, strong and very strong positive and significant relationships were found among all factors related to the adoption of smart homes. Furthermore, it is concluded that the approach to smart homes varies significantly according to gender, age group, education level, marital status, and income level.

 The purpose of this research is to determine the factors influencing consumers adoption of smart home systems. Within this context, the relationships between factors such as perceived benefit, perceived risk, functionality, and price and their effects on the adoption of smart home systems were investigated. Additionally, whether there were significant differences in the mentioned factors based on gender, age group, education level, marital status, and income level was investigated. The population of the study consists of individuals living in Turkey who use smart home systems, while the sample comprises 556 individuals selected from this population. The data for the study were collected through a survey and evaluated using quantitative analysis methods. The statistical analyses were conducted using the SPSS 25 software, applying descriptive statistical methods, Pearson correlation analysis, independent samples t-test, and one-way variance analysis. The analyses reveal that consumers overall levels of adoption of smart home systems are slightly above average. However, it is observed that the first three factors significantly influencing the adoption of smart home systems are price, perceived benefit, and function ality, respectively. Furthermore, strong and very strong positive and significant relationships were found among all factors related to the adoption of smart homes. Furthermore, it is concluded that the approach to smart homes varies significantly according to gender, age group, education level, marital status, and income level.

 The purpose of this research is to determine the factors influencing consumers adoption of smart home systems. Within this context, the relationships between factors such as perceived benefit, perceived risk, functionality, and price and their effects on the adoption of smart home systems were investigated. Additionally, whether there were significant differences in the mentioned factors based on gender, age group, education level, marital status, and income level was investigated. The population of the study consists of individuals living in Turkey who use smart home systems, while the sample comprises 556 individuals selected from this population. The data for the study were collected through a survey and evaluated using quantitative analysis methods. The statistical analyses were conducted using the SPSS 25 software, applying descriptive statistical methods, Pearson correlation analysis, independent samples t-test, and one-way variance analysis. The analyses reveal that consumers overall levels of adoption of smart home systems are slightly above average. However, it is observed that the first three factors significantly influencing the adoption of smart home systems are price, perceived benefit, and function ality, respectively. Furthermore, strong and very strong positive and significant relationships were found among all factors related to the adoption of smart homes. Furthermore, it is concluded that the approach to smart homes varies significantly according to gender, age group, education level, marital status, and income level.

Article Details

Factors Influencing Consumer Adoption of Smart Home Systems: A Socio-Demographic Perspective

Authors:

Onur Muço | Üstün Özen

Publisher:

Istanbul University

Main Topics:

İnsan Bilgisayar Etkileşimi

Journal:

Acta Infologica Vol.9 Issue 1, pp.314-338

Document Type:

Article

Publication Date:

6/2025

Document Language:

English

Document ID (Org No.):

2001354872

pISSN:

2602-3563

Smart home

planned behavior

technology adoption

consumer

Technology Acceptance Model

Issues

Article Details

Factors Influencing Consumer Adoption of Smart Home Systems: A Socio-Demographic Perspective

Authors: Onur Muço | Üstün Özen

Publisher: Istanbul University

Main Topics: İnsan Bilgisayar Etkileşimi

Journal: Acta Infologica Vol.9 Issue 1, pp.314-338

Document Type: Article

Publication Date: 6/2025

Document Language: English

Document ID (Org No.): 2001354872

pISSN: 2602-3563

Smart home

planned behavior

technology adoption

consumer

Technology Acceptance Model

Issues

Authors:

Onur Muço | Üstün Özen

Publisher:

Istanbul University

Main Topics:

İnsan Bilgisayar Etkileşimi

Journal:

Acta Infologica Vol.9 Issue 1, pp.314-338

Document Type:

Article

Publication Date:

6/2025

Document Language:

English

Document ID (Org No.):

2001354872

pISSN:

2602-3563