P. Tunji-Olayeni, K. Kajimo-Shakantu, T. O. Ayodele
{"title":"影响绿色建筑意向的因素:计划行为理论的应用","authors":"P. Tunji-Olayeni, K. Kajimo-Shakantu, T. O. Ayodele","doi":"10.1108/sasbe-06-2022-0126","DOIUrl":null,"url":null,"abstract":"PurposeThe aim of this paper is to assess the behavioural factors that influence professionals' intention to adopt green construction based on the theory of planned behaviour (TPB).Design/methodology/approachThe study adopted a quantitative research design with the use of online questionnaires to elicit information from construction professionals in South Africa. Descriptive statistics of frequencies, mean and standard deviation were used to analyse the data obtained from the survey. Linear regression was also used to assess the effect of behavioural factors on professionals' intention to adopt green construction.FindingsThe results showed that attitude and perceived behavioural control (PBC) have a significant effect on the intention to adopt green construction. These were significant at p < 0.05, having p-values of 0.000 and 0.015 respectively. The study also found that there was a positive disposition towards green construction, particularly with regards to insisting on green construction. This had a mean value of 3.99. There was also a high perception of succeeding in the execution of green projects with mean score of 3.76.Practical implicationsThe practical implication of the findings is that adoption of green construction in South Africa is majorly based on the positive attitude of stakeholders towards green construction and also the PBC or the perceived ease of executing green construction. However, these factors are not sufficient to generate long term commitment for green transformation among a critical mass of stakeholders in the South African construction industry. Hence, there is a need for focus on subjective norms (pressure) particularly from the government, to encourage the widespread adoption of green construction in South Africa.Originality/valueFindings present one of the pioneering efforts to empirically validate the influence of behavioural factors on the intention to adopt green construction in South Africa and the outcomes can provide policy directions and baseline data for further research.","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":" ","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Factors influencing the intention to adopt green construction: an application of the theory of planned behaviour\",\"authors\":\"P. Tunji-Olayeni, K. Kajimo-Shakantu, T. O. Ayodele\",\"doi\":\"10.1108/sasbe-06-2022-0126\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PurposeThe aim of this paper is to assess the behavioural factors that influence professionals' intention to adopt green construction based on the theory of planned behaviour (TPB).Design/methodology/approachThe study adopted a quantitative research design with the use of online questionnaires to elicit information from construction professionals in South Africa. Descriptive statistics of frequencies, mean and standard deviation were used to analyse the data obtained from the survey. Linear regression was also used to assess the effect of behavioural factors on professionals' intention to adopt green construction.FindingsThe results showed that attitude and perceived behavioural control (PBC) have a significant effect on the intention to adopt green construction. These were significant at p < 0.05, having p-values of 0.000 and 0.015 respectively. The study also found that there was a positive disposition towards green construction, particularly with regards to insisting on green construction. This had a mean value of 3.99. There was also a high perception of succeeding in the execution of green projects with mean score of 3.76.Practical implicationsThe practical implication of the findings is that adoption of green construction in South Africa is majorly based on the positive attitude of stakeholders towards green construction and also the PBC or the perceived ease of executing green construction. However, these factors are not sufficient to generate long term commitment for green transformation among a critical mass of stakeholders in the South African construction industry. Hence, there is a need for focus on subjective norms (pressure) particularly from the government, to encourage the widespread adoption of green construction in South Africa.Originality/valueFindings present one of the pioneering efforts to empirically validate the influence of behavioural factors on the intention to adopt green construction in South Africa and the outcomes can provide policy directions and baseline data for further research.\",\"PeriodicalId\":45779,\"journal\":{\"name\":\"Smart and Sustainable Built Environment\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2023-02-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Smart and Sustainable Built Environment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/sasbe-06-2022-0126\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart and Sustainable Built Environment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/sasbe-06-2022-0126","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Factors influencing the intention to adopt green construction: an application of the theory of planned behaviour
PurposeThe aim of this paper is to assess the behavioural factors that influence professionals' intention to adopt green construction based on the theory of planned behaviour (TPB).Design/methodology/approachThe study adopted a quantitative research design with the use of online questionnaires to elicit information from construction professionals in South Africa. Descriptive statistics of frequencies, mean and standard deviation were used to analyse the data obtained from the survey. Linear regression was also used to assess the effect of behavioural factors on professionals' intention to adopt green construction.FindingsThe results showed that attitude and perceived behavioural control (PBC) have a significant effect on the intention to adopt green construction. These were significant at p < 0.05, having p-values of 0.000 and 0.015 respectively. The study also found that there was a positive disposition towards green construction, particularly with regards to insisting on green construction. This had a mean value of 3.99. There was also a high perception of succeeding in the execution of green projects with mean score of 3.76.Practical implicationsThe practical implication of the findings is that adoption of green construction in South Africa is majorly based on the positive attitude of stakeholders towards green construction and also the PBC or the perceived ease of executing green construction. However, these factors are not sufficient to generate long term commitment for green transformation among a critical mass of stakeholders in the South African construction industry. Hence, there is a need for focus on subjective norms (pressure) particularly from the government, to encourage the widespread adoption of green construction in South Africa.Originality/valueFindings present one of the pioneering efforts to empirically validate the influence of behavioural factors on the intention to adopt green construction in South Africa and the outcomes can provide policy directions and baseline data for further research.