Esther Oluwadamilola Olufemi Rotimi, Funmilayo Ebun Rotimi, C.W. Chathurani Silva and Itohan Esther Aigwi
There are several technologies positively impacting the management of construction projects. Building information modelling (BIM) is one such technology, slowly changing project…
Abstract
Purpose
There are several technologies positively impacting the management of construction projects. Building information modelling (BIM) is one such technology, slowly changing project delivery. However, enhancing knowledge transfer (KT) within the construction industry is crucial because of the characteristic slow uptake of innovation. Therefore, this study aims to establish the effectiveness of the KT mechanism for BIM implementation in construction organisations.
Design/methodology/approach
This study adopted a quantitative research method where a structured questionnaire was distributed to construction professionals. A partial least square structural equation modeling path analysis was used to test the direct and indirect relationships of computer self-efficacy (CS), perceived ease of use (PEOU), KT and BIM usage.
Findings
This study found that CS could improve KT, which will, in turn, increase the implementation of BIM within construction organisations. However, in terms of KT, individuals’ confidence and ability to use BIM inspires them to share the knowledge of BIM they had received through training. Furthermore, this study found that the ease of interacting, learning and being skilful with BIM may not necessarily ensure the actual transfer of knowledge.
Originality/value
This study provides valuable insights into KTs (BIM implementation) in the construction industry. It will enhance the use of BIM systems and related knowledge through effective training amongst construction practitioners. Other previous studies have focused on challenges and barriers to BIM implementation, this study goes deeper into establishing the effectiveness of the KT mechanism for BIM implementation in construction organisations.
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Esther Oluwadamilola Olufemi Rotimi, Lester W. Johnson, Hassan Kalantari Daronkola, Cheree Topple and John Hopkins
The purpose of this study is to apply and extend the predictors within the theory of planned behaviour (TPB) to understand consumers' behaviour toward recycling end-of-life…
Abstract
Purpose
The purpose of this study is to apply and extend the predictors within the theory of planned behaviour (TPB) to understand consumers' behaviour toward recycling end-of-life garments among Australian consumers. The predictors explored within this study include attitude, perceived behavioural control, subjective norms, self-identity, general recycling behaviour eco-literacy, self-efficacy, intentions to recycle and behaviour to recycle end-of-life garments.
Design/methodology/approach
Data were collected from a sample of consumers across all eight recognised states/territories in Australia through survey questionnaires. A total of 481 usable responses were analysed using structural equation modelling.
Findings
Results show positive relationships between the factors explored with all hypotheses supported. The findings of this study have theoretical and managerial implications. They (1) provide an insight into the significant factors that influence consumers' recycling behaviour amongst Australian fashion consumers; (2) bridge the gap in the explanatory nature of TPB by extending this theory; (3) call to develop marketing campaigns to educate consumers on the impact of fashion waste; (4) suggest the need for provision of household textile collection bins at a national level and (5) highlight the need for policy reform on garment recycling enabled by the Australian government.
Originality/value
This study is part of the limited studies that focus on the recycling of consumer fashion waste within the Australian context. Little research has also applied the TPB to end-of-life fashion products with a focus on recycling. In addition, no study to the authors' knowledge has, in combination, explored self-efficacy, self-identity, general recycling behaviour and eco-literacy as predictors of intentions to recycle end-of-life garments.