Search results

Integrating building information modelling (BIM) into facility management (FM) has generated fervent debate within the extant literature given an increasing realisation amongst practitioners that the majority of BIM benefits reside within the whole lifecycle management. Converting a building’s in-use data and information into tangible business knowledge to augment FM performance is crucial for business growth and prosperity. Yet curiously, scant academic attention has been paid in investigating the data and information hand-over process through BIM required by FM. The purpose of this paper is to address this knowledge gap.

The research approach adopted draws upon pertinent BIM in the FM literature and a qualitative discourse accrued via focus group meetings of Australian FM experts.

The study’s findings are presented as a data and information typology matrix that captures the associations among different forms of data ownership, FM service delivery categories and data and information typologies for using BIM in FM.

The analysis results will prove invaluable for policy-makers, researchers and practitioners by providing a relevant data and information typology and capturing the complex associations in the process of integrating BIM into FM.

This study contributes to the field by providing a better understanding of different forms of data and information, required by members of a FM team. The original insight shared here is the necessity to consider a distinctive array of interests and the potential for using different forms of data and information when integrating BIM into FM.

Advancements in digital technologies have provided significant opportunities to improve the Architecture, Engineering, Construction and Owner-operated (AECO) sector’s performance through superior data management, streamlined processes and cooperative working practices. However, whilst academic literature widely espouses these benefits during the design and construction phases of development, research suggests that the operational phase of a building’s lifecycle has yet to fully realise performance improvements available through the application of digital modelling technology. The purpose of this paper is to synthesise extant digital modelling, asset management and emergent digital asset management literature, to report upon the beneficial implications of digitalised asset management and identify obstacles hampering its adoption in industry.

A componential synthesis of future work reported upon in extant literature is organised into thematic categories that indicate potential research avenues and a trajectory for digital asset management research and practice.

Themes identified include: imprecise Building Information Modelling definitions; isolated software development; data interoperability; intellectual property and virtual property rights; and skills and training requirements. Notably, increased environmental performance also arose as a theme requiring further research but received considerably less academic coverage than the other obstacles identified.

The work presents a comprehensive review of digital technologies utilised within the AECO sector and as such provides utility to researchers, policy makers and practitioners to enhance their knowledge capabilities.

Enterprise systems (ES) upgrade is fundamental to maintaining a system’s continuous improvement and stability. However, while the extant literature is replete with research on ES upgrade decision-making, there is scant knowledge about how different decision processes facilitate this decision to upgrade. This paper aims to investigate and better understand these processes from an organisational perspective.

The study adopted a qualitative survey design, and used a Web-based questionnaire and semi-structured interviews to collect data from 23 large organisations. Data accrued were qualitatively analysed and manually coded to identify the various decision processes undertaken during ES upgrade decisions.

Analysis results reveal complex interrelations between the upgrade drivers, the need to evaluate the new version’s functionality and the upgrade impact. Understanding the interaction between these elements influences the upgrade decision process.

The study proposes ES upgrade processes that support a decision to upgrade major releases. Further research is required to offer either similar or conflicting arguments on the upgrade decision-making and provide a probabilistic generalisation of the decision-making processes.

The research offers a comprehensive and empirically supported methodical approach that embraces an evaluation of a new version’s functionality, technical requirements and concomitant upgrade implications as intrinsic decision processes. This approach assists in the decisions to establish the upgrade need and determine the level of change, effort required, impacts and associated benefits.

This paper aims to investigate the impact that building design has upon the quality of life for residents of a care home who have dementia. To present a balanced perspective, carers within the care home also participate in the research.

A case study methodological approach was adopted using one care home, ten residents and five staff as a sample frame. During interviews conducted, participants were asked semi-structured questions on how building design features impact upon the quality of life of residents. Questions posed focussed upon key design principles that emerged from a detailed review of extant literature.

Building design for people with dementia must consider a complex array of features to provide a safe and habitable living space for residents and family members who visit. This living space must also be suitably utilitarian and provide a workable environment for staff. Hence, an appropriate balance between these two competing requirements must be attained, and often a tailor-made solution is required that fits the individual’s level of dementia. Three prominent areas that study participants expressed a desire for were a safe environment; support for wayfinding, orientation and navigation; and access to nature and the outdoors.

The work reports upon the rarely discussed issue of building design for people with dementia and could be used by policymakers and construction firms to enhance their knowledge capabilities in this area. The research concludes with direction for future research which should seek to provide more evidence-based research vis-a-vis perception enquiry and extend this seminal work to a larger sample of care homes or people with dementia living at home.

The purpose of this paper is to present an understanding of the potential impact of Brexit upon the UK construction industry. Specifically, the work analyses the construction industry’s reliance upon European Union (EU) skilled labour and seeks to determine the potential impact that Brexit poses upon EU skilled labour entering the sector.

A perceptual questionnaire survey was used to elicit responses from construction professionals using the two techniques of opportunity and snowballing non-probability sampling. Summary statistical analysis of Boolean and Likert item scale data accrued was employed to elucidate upon respondents’ perceptions.

The majority of survey participants either “strongly agreed” or “agreed” that the UK construction industry relies upon EU skilled labour and that a career in the sector would not be attractive for foreign skilled labour post-Brexit. Future research proposed includes: predicting future trends in labour supply and demand and deriving new policies to address skills shortage imbalances that may be created by Brexit.

Original insight into an historic and unprecedented moment for the UK construction industry is presented. The work also provides pragmatic recommendations to policy makers and Higher Education Institutes to prevent the risk of Brexit further exacerbating skilled labour shortages within the industry.

Investment in power and electricity generation for replacing aging infrastructure with new represents a major challenge for developing countries. This paper therefore aims to examine infrastructure projects’ characteristics and how socio-political and economic investment environments interplay to influence the degree of private sector participation (PPP) in infrastructure delivery in Ghana.

Using World Bank Public-private infrastructure advisory facility (PPIAF) and private participation in infrastructure (PPI) project database data from 1994 to 2013, binary logistic regression was used to: determine the probability of a higher or lower degree of PPP; and examine the significance of factors that are determinants of private investments.

The findings reveal that the private sector is more likely to invest in a higher degree of PPP infrastructure projects through greenfield and concession vehicles as opposed to management and leasing contracts. From the extant literature, drivers of PPP included infrastructure project characteristics and the social–economic–political health of the host country. However, the significance, direction and magnitude of these drivers vary.

This paper identifies investment drivers to PPP advisors and project managers and seeks to engender discussion among government policymakers responsible for promoting and managing PPP projects. Direction for future work seeks to explore competitive routes to infrastructure debt and equity finance options that finance energy projects.

This research aims to investigate and identify knowledge transfer (KT) enablers within the developing country of Ghana. These enablers act as mechanisms to stimulate knowledge creation, knowledge protection and build effective knowledge-sharing (KS) behaviour in construction companies – consequently, they are crucial to business survival in a globally competitive market.

A perception questionnaire survey was used to elicit responses from construction practitioners using purposive and snowballing non-probability sampling techniques. Summary statistical analysis and a chi-square test was used to uncover relationships between the independent and dependent variables.

An empirical examination of data collected indicated that knowledge strategy, organizational culture, information technology and knowledge leadership as knowledge enablers have a significant positive relationship with KT. Future research is however required to measure transfer within an organization vis-à-vis measure perception of such.

The work presents a rare glimpse of the relationship between knowledge enablers and KT (particularly in a developing country context) and as such provides utility to policymakers and construction firms to enhance their knowledge capabilities.

Work-related low back disorders (LBDs) are prevalent among rebar workers although their causes remain uncertain. The purpose of this study is to examine the self-reported discomfort and spinal biomechanics (muscle activity and spinal kinematics) experienced by rebar workers.

In all, 20 healthy male participants performed simulated repetitive rebar lifting tasks with three different lifting weights, using either a stoop (n = 10) or a squat (n = 10) lifting posture, until subjective fatigue was reached. During these tasks, trunk muscle activity and spinal kinematics were recorded using surface electromyography and motion sensors, respectively.

A mixed-model, repeated measures analysis of variance revealed that an increase in lifting weight significantly increased lower back muscle activity at L3 level but decreased fatigue and time to fatigue (endurance time) (p < 0.05). Lifting postures had no significant effect on spinal biomechanics (p < 0.05). Test results revealed that lifting different weights causes disproportional loading upon muscles, which shortens the time to reach working endurance and increases the risk of developing LBDs among rebar workers.

Future research is required to: broaden the research scope to include other trades; investigate the effects of using assistive lifting devices to reduce manual handling risks posed; and develop automated human condition-based solutions to monitor trunk muscle activity and spinal kinematics.

This study fulfils an identified need to study laboratory-based simulated task conducted to investigate the risk of developing LBDs among rebar workers primarily caused by repetitive rebar lifting.

Repetitive lifting tasks have detrimental effects upon balance control and may contribute toward fall injuries, yet despite this causal linkage, risk factors involved remain elusive. The purpose of this paper is to evaluate the effects of different weights and lifting postures on balance control using simulated repetitive lifting tasks.

In total, 20 healthy male participants underwent balance control assessments before and immediately after a fatiguing repetitive lifting tasks using three different weights in a stoop (ten participants) or a squat (ten participants) lifting posture. Balance control assessments required participants to stand still on a force plate with or without a foam (which simulated an unstable surface) while center of pressure (CoP) displacement parameters on the force plate was measured.

Results reveal that: increased weight (but not lifting posture) significantly increases CoP parameters; stoop and squat lifting postures performed until subjective fatigue induce a similar increase in CoP parameters; and fatigue adversely effected the participant’s balance control on an unstable surface vis-à-vis a stable surface. Findings suggest that repetitive lifting of heavier weights would significantly jeopardize individuals’ balance control on unstable supporting surfaces, which may heighten the risk of falls.

This research offers an entirely new and novel approach to measuring the impact that different lifting weights and postures may have upon worker stability and consequential fall incidents that may arise.

While mortgage markets have gradually emerged in many African countries, substantial barriers still hinder their growth and expansion. Affordability has been widely cited as a prominent issue that doggedly remains at the core of urban housing problems. Hence, this paper aims to investigate the determinants of mortgage price affordability.

Data were gathered using semi-structured questionnaires obtained from a sample drawn from three major West African mortgage financing institutions. Respondents rated the variables using a five-point Likert item rating. The survey results were analysed using exploratory factor analysis.

In total, 11 variables that influence mortgage affordability were categorised within five principal components, namely, economic factors, financial factors, property characteristics, developmental factors and geographical factors.

The results provide insightful guidance to policymakers and practitioners on how to mitigate affordability issues within Ghana’s fledgling mortgage market. Failure to address the mortgage price affordability conundrum will place enormous pressure upon social housing and rental accommodation.

The research findings expand existing frontiers of knowledge by investigating and reporting upon the determinants of mortgage price affordability. The work also engenders wider debate on the need to establish mortgage packages targeted at low-to-middle-income earners. The culmination of analysis and debate will provide a robust basis for developing a future housing policy framework.