Influencing the adoption of microgeneration technologies using the theory of planned behaviour
Purpose: This study sought to understand the factors that influence the behavioural intention of households towards microgeneration technologies. This includes subjective knowledge (SK) within the TPB framework as a determinant of behavioural intention. Methods: A quantitative research approach was...
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doaj-e1ec666573b64bd29c8cb262a530084e2021-06-04T07:11:08ZengAOSISSouth African Journal of Business Management2078-55852078-59762021-05-01521e1e910.4102/sajbm.v52i1.21001079Influencing the adoption of microgeneration technologies using the theory of planned behaviourNjabulo H. Mkhize0Department of Marketing Management, College of Business Economics, University of Johannesburg, JohannesburgPurpose: This study sought to understand the factors that influence the behavioural intention of households towards microgeneration technologies. This includes subjective knowledge (SK) within the TPB framework as a determinant of behavioural intention. Methods: A quantitative research approach was followed. A sample frame consisted of households as a unit. A structured questionnaire was administered by using convenience sampling approach. Respondents include members of households who were above the age of 18. Altogether, 237 usable self-administered questionnaires were used for the data. Results: A two-stage procedure to perform Structural Equation Modeling (SEM) analysis by using SPSS AMOS 25 was conducted. The results showed that subjective norms (SNs) and attitude (ATT) had a significant and positive relationship with behavioural intention. Subjective knowledge showed no significant relationship. Practical implications: Recommendations are made to marketers in relationship to cohesive message relating to microgeneration technologies with a special emphasis on reference groups in the messaging. For policymakers, there will be a need to consider the role of society and the immediate communities of potential adopters in their policy documents. Originality/value: This study contributes to the scarce understanding of microgeneration technology in emerging markets by testing a proposed model by using data. It also enriches the adoption models via empirically exploring the relationship between SK and behavioural intention.https://sajbm.org/index.php/sajbm/article/view/2100microgeneration technologiesbehavioural intentionattitudesubjective normsubjective knowledge. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Njabulo H. Mkhize |
spellingShingle |
Njabulo H. Mkhize Influencing the adoption of microgeneration technologies using the theory of planned behaviour South African Journal of Business Management microgeneration technologies behavioural intention attitude subjective norm subjective knowledge. |
author_facet |
Njabulo H. Mkhize |
author_sort |
Njabulo H. Mkhize |
title |
Influencing the adoption of microgeneration technologies using the theory of planned behaviour |
title_short |
Influencing the adoption of microgeneration technologies using the theory of planned behaviour |
title_full |
Influencing the adoption of microgeneration technologies using the theory of planned behaviour |
title_fullStr |
Influencing the adoption of microgeneration technologies using the theory of planned behaviour |
title_full_unstemmed |
Influencing the adoption of microgeneration technologies using the theory of planned behaviour |
title_sort |
influencing the adoption of microgeneration technologies using the theory of planned behaviour |
publisher |
AOSIS |
series |
South African Journal of Business Management |
issn |
2078-5585 2078-5976 |
publishDate |
2021-05-01 |
description |
Purpose: This study sought to understand the factors that influence the behavioural intention of households towards microgeneration technologies. This includes subjective knowledge (SK) within the TPB framework as a determinant of behavioural intention.
Methods: A quantitative research approach was followed. A sample frame consisted of households as a unit. A structured questionnaire was administered by using convenience sampling approach. Respondents include members of households who were above the age of 18. Altogether, 237 usable self-administered questionnaires were used for the data.
Results: A two-stage procedure to perform Structural Equation Modeling (SEM) analysis by using SPSS AMOS 25 was conducted. The results showed that subjective norms (SNs) and attitude (ATT) had a significant and positive relationship with behavioural intention. Subjective knowledge showed no significant relationship.
Practical implications: Recommendations are made to marketers in relationship to cohesive message relating to microgeneration technologies with a special emphasis on reference groups in the messaging. For policymakers, there will be a need to consider the role of society and the immediate communities of potential adopters in their policy documents.
Originality/value: This study contributes to the scarce understanding of microgeneration technology in emerging markets by testing a proposed model by using data. It also enriches the adoption models via empirically exploring the relationship between SK and behavioural intention. |
topic |
microgeneration technologies behavioural intention attitude subjective norm subjective knowledge. |
url |
https://sajbm.org/index.php/sajbm/article/view/2100 |
work_keys_str_mv |
AT njabulohmkhize influencingtheadoptionofmicrogenerationtechnologiesusingthetheoryofplannedbehaviour |
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