Browsing by Author "Rasheed EO"
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- ItemDoes leadership style differ between a post-disaster and non-disaster response project? A study of three major projects in New Zealand(MDPI (Basel, Switzerland), 2019-09) Witton F; Rasheed EO; Rotimi JOBPurpose–The leadership styles of three major infrastructure projects within New Zealand were determined and comparatively analysed to ascertain whether the leadership style employed in a post-disaster recovery project would differ significantly from a normal infrastructure project. A multifactor leadership questionnaire was administered to project leaders and personnel of the three infrastructure projects. The statistically significant differences (p < 0.05) in leadership styles were determined using one-way ANOVA analytical tool in STATISTICA 13. Results showed all three projects have strong transformational and transactional leadership traits. There were similarities in leadership style amongst the projects. None of the projects had a significant laissez-faire leadership style. Hence there is no significant difference in leadership style between a disaster recovery project and a normal project. Plausible reasons and implications are provided to support these findings. This study provides insight into leadership styles employed in projects in New Zealand, which could assist in the decision-making process for new and existing projects. Future studies could investigate the effect a combination of leadership styles will have on project success and staff retention. More studies are required across New Zealand to verify the generalizability of the current study findings.
- ItemEnvironmental and socio-psychological drivers of building users’ behaviours: A case study of tertiary institutional offices in Auckland(Emerald Publishing, 2022) Weerasinghe AS; Rasheed EO; Rotimi JOBPurpose: Better identification of comfort preferences and occupant behaviour drivers is expected to improve buildings’ user-centred designs and energy operations. To understand the underline drivers of occupant behaviours in office buildings, this study aims to evaluate the inter-relationships among occupant energy behaviours, indoor environmental quality satisfaction, user control and social-psychological factors influencing occupant behaviours in New Zealand offices. Design/methodology/approach: Using an occupant perception survey, this study identifies the occupant behaviour patterns based on multi-domain comfort preferences. A case study was conducted in five office spaces of a university in Auckland, New Zealand. Data were collected from 52 occupants and analysed using descriptive and binary logistic regression analysis. Indoor environmental quality, user control, motivational, opportunity and ability factors were the independent variables considered. A model to predict the behaviours using environmental, building and social-psychological aspects was developed. Findings: The results showed that the primary sources of indoor environmental quality discomfort were related to thermal and air quality, while occupants’ indoor environmental quality satisfaction correlated with their comfort preferences. The outcomes emphasise how the connection between building systems and occupants’ comfort preferences affect the choice of occupant behaviours in offices. Also, the primary occupant behaviours were drinking hot and cold beverages, opening/closing windows and internal doors and adjusting clothing. The binary logistic regression analysis showed that occupants’ perceived user control satisfaction is the main driver for increasing window actions. No other independent variable showed a statistically significant association with other behaviours. Originality/value: This study adopted a novel approach to assess the combined effects of comfort preferences, occupant energy behaviours and various environmental, building and socio-psychological factors for modelling energy-saving behaviours in office buildings.
- ItemOccupants’ Decision-Making of Their Energy Behaviours in Office Environments: A Case of New Zealand(2023-02-01) Weerasinghe AS; Rasheed EO; Rotimi JOBUnderstanding how occupants behave and interact with building systems is vital to energy efficiency in buildings. The building occupants’ behaviours are complex and influenced by diverse factors. A deep understanding of the underlying environmental, contextual, social, and psychological factors is the first step of many in establishing the relationship between the indoor environment and occupants’ behaviours. The current study investigates the influence of occupants’ perceived indoor environmental comfort, the availability of control, and the social-psychological impacts on occupant behaviours in a New Zealand context. The data were collected through online surveys, and 99 office occupants responded. A machine learning technique was applied to identify the critical factors influencing the decision-making of occupant behaviours. Of the occupant behaviours considered in the study, adjusting windows, doors, shades and blinds, and drinking beverages were mostly practised (>70%) while adjusting lighting, personal fans, thermostats/heaters, and computers (40–70%) was moderately practised by occupants. The availability of specific user controls was the main predictor of most occupant behaviours, followed by social-psychological factors such as actual knowledge, perceived knowledge, behavioural interventions, subjective norms, organisational support, personal norms, attitudes, and perceived behavioural control. The indoor environmental parameters such as indoor temperature, indoor air quality, natural light, and inside noise were highlighted as most influential in decision-making for occupant behaviours. Additionally, the demographic factors: gender, work duration, days at work, and permanence/temporariness of workspace, were also impactful. Knowing the complexity of occupants’ decision-making with respect to their behaviours helps building managers use this sensitive information to enhance building energy performance and enable more energy feedback to the occupants to raise their awareness. Such information is helpful for creating an intelligent environmental control system loop with eco-feedback and establishing occupant-centric buildings or features.