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1 – 6 of 6Abdul Rauf, Daniel Efurosibina Attoye and Robert H. Crawford
Recently, there has been a shift toward the embodied energy assessment of buildings. However, the impact of material service life on the life-cycle embodied energy has received…
Abstract
Purpose
Recently, there has been a shift toward the embodied energy assessment of buildings. However, the impact of material service life on the life-cycle embodied energy has received little attention. We aimed to address this knowledge gap, particularly in the context of the UAE and investigated the embodied energy associated with the use of concrete and other materials commonly used in residential buildings in the hot desert climate of the UAE.
Design/methodology/approach
Using input–output based hybrid analysis, we quantified the life-cycle embodied energy of a villa in the UAE with over 50 years of building life using the average, minimum, and maximum material service life values. Mathematical calculations were performed using MS Excel, and a detailed bill of quantities with >170 building materials and components of the villa were used for investigation.
Findings
For the base case, the initial embodied energy was 57% (7390.5 GJ), whereas the recurrent embodied energy was 43% (5,690 GJ) of the life-cycle embodied energy based on average material service life values. The proportion of the recurrent embodied energy with minimum material service life values was increased to 68% of the life-cycle embodied energy, while it dropped to 15% with maximum material service life values.
Originality/value
The findings provide new data to guide building construction in the UAE and show that recurrent embodied energy contributes significantly to life-cycle energy demand. Further, the study of material service life variations provides deeper insights into future building material specifications and management considerations for building maintenance.
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Angeliki Kylili, Phoebe-Zoe Georgali, Petros Christou and Paris Fokaides
The built environment is taking enormous leaps towards its digitalization. Computer-aided tools such as building information modeling (BIM) are found in the forefront of this…
Abstract
Purpose
The built environment is taking enormous leaps towards its digitalization. Computer-aided tools such as building information modeling (BIM) are found in the forefront of this evolution, playing a critical role in creating the foundations for the upcoming development of smart low-carbon cities. However, the potential of BIM is still untapped – links will need to be created among the available and forthcoming methodologies under one integral operational system. The purpose of this paper is to present an integrated BIM-based life cycle-oriented framework for achieving sustainable constructions at the pre-construction phase. The developed framework represents an example of the approaches that the construction industry will need to adopt to integrate the different tools under an integrated smart city context.
Design/methodology/approach
The methodological approach follows the development of four same-volume different-configuration three-dimensional BIM designs, which are coupled with life cycle assessment (LCA) tools for establishing sustainable building design.
Findings
The results of this paper indicated that the choice of building design and shape can play a significant role in reducing the embodied energy and embodied carbon of buildings, achieving a reduction of up to 15% compared to a reference building of same volume and gross floor area.
Originality/value
The originality of this paper is found in its approach application by coupling three-dimensional BIM models with LCA data, the use of reinforcement detailing in an nD BIM study and the employment of country-specific LCA databases.
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Besiki Stvilia and Dong Joon Lee
This study addresses the need for a theory-guided, rich, descriptive account of research data repositories' (RDRs) understanding of data quality and the structures of their data…
Abstract
Purpose
This study addresses the need for a theory-guided, rich, descriptive account of research data repositories' (RDRs) understanding of data quality and the structures of their data quality assurance (DQA) activities. Its findings can help develop operational DQA models and best practice guides and identify opportunities for innovation in the DQA activities.
Design/methodology/approach
The study analyzed 122 data repositories' applications for the Core Trustworthy Data Repositories, interview transcripts of 32 curators and repository managers and data curation-related webpages of their repository websites. The combined dataset represented 146 unique RDRs. The study was guided by a theoretical framework comprising activity theory and an information quality evaluation framework.
Findings
The study provided a theory-based examination of the DQA practices of RDRs summarized as a conceptual model. The authors identified three DQA activities: evaluation, intervention and communication and their structures, including activity motivations, roles played and mediating tools and rules and standards. When defining data quality, study participants went beyond the traditional definition of data quality and referenced seven facets of ethical and effective information systems in addition to data quality. Furthermore, the participants and RDRs referenced 13 dimensions in their DQA models. The study revealed that DQA activities were prioritized by data value, level of quality, available expertise, cost and funding incentives.
Practical implications
The study's findings can inform the design and construction of digital research data curation infrastructure components on university campuses that aim to provide access not just to big data but trustworthy data. Communities of practice focused on repositories and archives could consider adding FAIR operationalizations, extensions and metrics focused on data quality. The availability of such metrics and associated measurements can help reusers determine whether they can trust and reuse a particular dataset. The findings of this study can help to develop such data quality assessment metrics and intervention strategies in a sound and systematic way.
Originality/value
To the best of the authors' knowledge, this paper is the first data quality theory guided examination of DQA practices in RDRs.
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The purpose of this paper is to gain insight into how management accountants can become relevant business partners out of respect for existing locally developed accounts of…
Abstract
Purpose
The purpose of this paper is to gain insight into how management accountants can become relevant business partners out of respect for existing locally developed accounts of economic performance for decision-making.
Design/methodology/approach
The paper is based on qualitative semi-structured interviews with local business actors, in this case, families from seven financially successful Danish dairy farms. The casework and the analysis have been informed by pragmatic constructivism.
Findings
The local business actors do not use the official accounting system for ongoing cost-management-related decision-making. Instead, they use several epistemic methods that include locally developed decision models, experiences, rules of thumb and intuition. The farmers use these vernacular accountings to compensate for the cost management illusion that the formal accounting system tends to create. What the study suggests is that when management accountants engage as business partners, they are likely to enter a space where accounting is already present.
Originality/value
This paper argues that local business actors practice epistemic methods where they develop and use vernacular accountings to support their managerial practice, also in the absence of a professional management accountant. These vernacular accountings may lead the local actors into an illusion because the vernacular accountings do not necessarily have an inherent economic logic and theoretical reliability. The role of the management accountant in such a setting is hence to understand, support and advance local epistemic methods. Becoming a business partner requires a combination of management accounting analytical skills and a sense of empathy and sensitivity regarding what is already at play and how this can become an object of discussion without violating the values of the other.
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Abdolrahim Gheyassi and Amir Alambeigi
This study’s main objective is to determine the extent to which social capital and psychological capital can explain differences in career adaptability among higher education…
Abstract
Purpose
This study’s main objective is to determine the extent to which social capital and psychological capital can explain differences in career adaptability among higher education students.
Design/methodology/approach
The study employed a quantitative approach, utilizing a survey research design. Data were gathered using an online questionnaire completed by 384 fourth-year undergraduate agricultural students in Iran. The inverse square root and multistage sampling methods were used to determine the sample size. The partial least squares-structural equation modelling (PLS-SEM) method examined the associations between latent variables.
Findings
The results suggest that social and psychological capital significantly influence the career adaptability of agricultural students, highlighting their significance in enhancing career adaptability. Moreover, psychological capital positively mediates the relationship between social capital and career adaptability.
Practical implications
Agricultural higher education institutions must focus on developing students' social and psychological capital to cultivate career adaptability in agricultural students. Agricultural higher education institutions, for example, should help students develop soft skills.
Originality/value
This study offers novel insights into the significance of individual resources, such as social and psychological capital, in enhancing the career adaptability of students. In addition, the key contribution of this study is the researchers' empirical evidence that multiple career resources are interconnected (social capital, career adaptability, and psychological capital).
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Beatrice Arthur and Thomas van der Walt
The purpose of this study is to investigate the current research data management practices among researchers in Ghana and their impact on data reuse and collaborative research…
Abstract
Purpose
The purpose of this study is to investigate the current research data management practices among researchers in Ghana and their impact on data reuse and collaborative research. The study aims to identify the methods used by researchers to store and preserve their research data, as well as to determine the extent to which researchers share their data with others.
Design/methodology/approach
The study uses a mixed-method research strategy to blend qualitative and quantitative data and is conducted at two public and two private universities in Ghana.
Findings
The study revealed that researchers in Ghana currently store and preserve their research data using personal devices, such as laptops, CDs and external flash drives, rather than keeping the data in university data repositories. They also do not share their research data with others, which negatively affects collaborative research. The current practice of storing data on personal devices and not sharing data with others hinders collaborative research. The study recommends that universities in Ghana revise their research policy documents to address RDM-related issues such as data storage, data preservation, data sharing and data reuse.
Research limitations/implications
The study was conducted at two public and two private universities in Ghana, but the findings were placed in a wider context through appropriate references.
Practical implications
This study emphasises the need for sound research data management procedures to support research collaboration and data reuse in Ghana. Universities should provide incentives to academics to disclose their data to encourage data sharing and collaboration.
Social implications
The government and management of universities should consciously invest in the needed technologies and equipment to implement research data management in their universities.
Originality/value
This study looks at how researchers in Ghana manage their research data and how it affects data reuse and collaborative research.
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