{"title":"利用计划行为理论影响微型发电技术的采用","authors":"Njabulo Mkhize","doi":"10.4102/SAJBM.V52I1.2100","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":45649,"journal":{"name":"South African Journal of Business Management","volume":" ","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Influencing the adoption of microgeneration technologies using the theory of planned behaviour\",\"authors\":\"Njabulo Mkhize\",\"doi\":\"10.4102/SAJBM.V52I1.2100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":45649,\"journal\":{\"name\":\"South African Journal of Business Management\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2021-05-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"South African Journal of Business Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.4102/SAJBM.V52I1.2100\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"South African Journal of Business Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.4102/SAJBM.V52I1.2100","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS","Score":null,"Total":0}
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 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.
期刊介绍:
The South African Journal of Business Management publishes articles that have real significance for management theory and practice. The content of the journal falls into two categories: managerial theory and management practice: -Management theory is devoted to reporting new methodological developments, whether analytical or philosophical. In general, papers should, in addition to developing a new theory, include some discussion of applications, either historical or potential. Both state-of-the-art surveys and papers discussing new developments are appropriate for this category. -Management practice concerns the methodology involved in applying scientific knowledge. It focusses on the problems of developing and converting management theory to practice while considering behavioural and economic realities. Papers should reflect the mutual interest of managers and management scientists in the exercise of the management function. Appropriate papers may include examples of implementations that generalise experience rather than specific incidents and facts, and principles of model development and adaptation that underline successful application of particular aspects of management theory. The relevance of the paper to the professional manager should be highlighted as far as possible.