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This study aims to establish whether three technology-specific attributes – convenience, compatibility with cultural needs and social reputation – influence the sustained use of clean cooking technologies in Uganda’s households.

This study adopted a cross-sectional and correlational research design. A survey was conducted with 125 households. The data were analyzed using SPSS and Smart PLS.

The results indicate that, in contrast to convenience, social reputation and compatibility with cultural needs significantly influence the sustained use of clean cooking technologies in Uganda’s households.

This study focused on the Greater Kampala Metropolitan Area; hence, several households in other urban centers and rural communities were excluded from the study. In addition, technology-specific attributes only accounted for 34.4% of the variation in the sustained use of clean cooking technologies in Uganda, leaving 65.6 unexplained. Therefore, the authors recommend that future studies look at other technology-specific attributes that may influence the sustained use of clean cooking technologies in Uganda’s households.

This study provides initial evidence of technology-specific attributes and the sustained use of clean cooking technologies based on the expectation–confirmation model.

This study aims to investigate the influence of specific socioeconomic factors, namely neighborhood, gender roles and affordability, on the continuous use of clean cooking technologies (CCTs) in households, using evidence from Uganda.

This study adopted an explanatory quantitative design. A questionnaire survey with 379 clean household responses was conducted. The data were analyzed using the Smart Partial Least Squares (PLS) software.

The results indicate that the sustained use of clean cooking technologies in households in Uganda is significantly associated with neighborhood influence, shared gender roles and affordability, collectively accounting for 27.7% of the variance.

The three dimensions of socioeconomic factors under study partially explain the sustained use of CCTs in Uganda. The study does not delve into other socioeconomic factors that could probably account for 72.2% of the variance not explained. The quantitative design may have overlooked the social reality perspectives inherent in qualitative studies that other researchers may endeavor to exploit.

The authors integrated three dimensions of socioeconomic factors – neighborhood influence, gender roles and affordability – with the diffusion of innovation theory (DIT) using Smart PLS to explain the continuous use of CCTs within households.