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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Main Author: Njabulo H. Mkhize
Format: Article
Language:English
Published: AOSIS 2021-05-01
Series:South African Journal of Business Management
Subjects:
Online Access:https://sajbm.org/index.php/sajbm/article/view/2100
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spelling 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
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