Engineering Construction & Architectural Management

Singh, Vishal ; Holmström, Jan

2015 Engineering Construction & Architectural Management

doi: 10.1108/ECAM-09-2014-0124

Purpose – Despite the recognized role of motivation of actors in technology adoption decisions, there is limited understanding of the psychological processes underlying the motivation. The purpose of this paper is to explore this gap by investigating Building Information Modeling (BIM) adoption from the viewpoint of Maslow’s motivational theory on hierarchy of needs. Design/methodology/approach – This research uses mixed methods. Initially theoretical arguments establish the suitability of Maslow’s hierarchy of needs as the conceptual framework to investigate technology adoption. The hypotheses and research questions are investigated using data collected through focus group interviews, interviews and field observations in Australian architecture engineering and construction (AEC). The findings are validated with a survey of BIM adoption cases reported in literature, and additional interviews conducted in Finnish AEC sector. Finally, abductive reasoning is applied to seek the best possible explanation for the observed patterns. Findings – It is found that besides individuals, organizations also demonstrate hierarchical ordering of innovation-related needs. Three broad categories of innovation-related needs are identified. Using abduction, the innovation-related needs of actors are described in terms of stable and excited states. Research limitations/implications – The findings are primarily based on studies conducted in regions with developed economies. Practical implications – This research shows that Maslow’s hierarchy of needs could be a useful diagnostic framework to assess actors’ response towards technology adoption. Originality/value – This investigation into the potential usefulness of Maslow’s theory into understanding technology adoption is by itself a novel research contribution. The finding that hierarchical view of needs can partly explain the adoption decisions of both individual and organizational actors is an original contribution.

Alharbi, Mohammed ; Emmitt, Stephen ; Demian, Peter

2015 Engineering Construction & Architectural Management

doi: 10.1108/ECAM-05-2014-0068

Purpose – The purpose of this paper is to provide a pragmatic definition of architectural management (AM) derived from systematic research. Design/methodology/approach – A triangulated approach to data collection was employed, comprising a number of sequential stages. First, a literature review was carried out to analyse the previous attempts to define the term. Then, a preliminary survey was conducted (online questionnaire) to capture the current interpretations of the term. After that, a new definition was formulated based on analysing and synthesising the collected data. The fourth stage was focused on examining the consistency of the new definition through the perspectives of architectural researchers and practitioners. The final stage was refining the definition based on the feedback. Findings – After following a pragmatic approach for constructing a new definition of AM; and based on the results of the several testing stages, it was found that AM is associated with the strategic management of the architectural office and its individual projects; and it is responsible for value design and delivery for its adopter and for the different types of stakeholders. Research limitations/implications – Although there was some quantitative testing in addition to the qualitative data the response rate was low in terms of the population of UK architectural practices. Originality/value – The outcome is the first definition of AM grounded in research. The research is unique in terms of reviewing the scope and limitations of the previous definitions of AM. Based on the research findings, the new definition of AM was found to offer an accepted description of AM that can be used by both researchers, educators and practising architects. The definition provides a common understanding (vocabulary) for those working in the area of AM.

Ling, Florence Y.Y. ; Tan, Peng Chong ; Ning, Yan ; Teo, Albert ; Gunawansa, Asanga

2015 Engineering Construction & Architectural Management

doi: 10.1108/ECAM-10-2013-0093

Purpose – The purpose of this paper is to investigate relational contracting (RC) practices that give rise to higher quality interpersonal relations between these pairs of stakeholders at the end of public projects: clients and contractors; contractors and consultants; and clients and consultants. It developed models to predict the level of quality of interpersonal relations between the stakeholders at the completion of public projects. Design/methodology/approach – Using a set of questionnaire, data were collected from randomly selected construction industry practitioners who have had experience in public projects in Singapore. The data were analysed to identify association between the use of RC practices and quality of interpersonal relations between stakeholders. In-depth interviews with experts were conducted. Findings – It was found that when certain RC practices were adopted to a larger extent, public projects also have significantly higher quality of interpersonal relations between clients, contractors and consultants. Three mathematical models were developed to predict the relationship quality between stakeholders at the end of the public project. Research limitations/implications – The limitations include the subjective nature of the Likert scale that was used in answering the questionnaire survey and the limited number of interviews. The effect of existing good relations among stakeholders was not taken into account. Practical implications – Suitable RC practices for adoption by public clients, contractors and consultants in public projects are recommended. These include developing deeper mutual trust and understanding, sharing project information, and having real gain-share/pain-share among contracting parties. Originality/value – RC practices that are significantly associated with relationships among contracting parties in public projects in Singapore are uncovered. Contracting parties may use the recommendations to help enhance their relationships with one another in a public project.

Aibinu, Ajibade A. ; Dassanayake, Dharma ; Chan, Toong-Khuan ; Thangaraj, Ram

2015 Engineering Construction & Architectural Management

doi: 10.1108/ECAM-01-2014-0010

Purpose – The study reported in this paper proposed the use of artificial neural networks (ANN) as viable alternative to regression for predicting the cost of building services elements at the early stage of design. The purpose of this paper is to develop, test and validate ANN models for predicting the costs of electrical services components. Design/Methodology/Approach – The research is based on data mining of over 200 building projects in the office of a medium size electrical contractor. Of the over 200 projects examined, 71 usable data were found and used for the ANN modeling. Regression models were also explored using IBM Statistical Package for Social Sciences Statistics Software 21, for the purpose of comparison with the ANN models. Findings – The findings show that the cost forecasting models based on ANN algorithm are more viable alternative to regression models for predicting the costs of light wiring, power wiring and cable pathways. The ANN prediction errors achieved are 6.4, 4.5 and 4.5 per cent for the three models developed whereas the regression models were insignificant. They did not fit any of the known regression distributions. Practical implications – The validated ANN models were converted to a desktop application (user interface) package – “Intelligent Estimator.” The application is important because it can be used by construction professionals to reliably and quickly forecast the costs of power wiring, light wiring and cable pathways using building variables that are readily available or measurable during design stage, i.e. fully enclosed covered area, unenclosed covered area, internal perimeter length and number of floors. Originality/value – Previous studies have concluded that the methods of estimating the budget for building structure and fabric work are inappropriate for use with mechanical and electrical services. Thus, this study is unique because it applied the ANN modeling technique, for the first time, to cost modeling of electrical services components for building using real world data. The analysis shows that ANN is a better alternative to regression models for predicting cost of services elements because the relationship between cost and the cost drivers are non-linear and distribution types are unknown.

Salah, Ahmad ; Moselhi, Osama

2015 Engineering Construction & Architectural Management

doi: 10.1108/ECAM-03-2014-0039

Purpose – The purpose of this paper is to present a newly developed fuzzy-set based model for estimating, allocating, depleting, and managing contingency fund over the life cycle of construction projects. Design/methodology/approach – Fuzzy set theory is utilized in the design and development of proposed contingency modelling framework to incorporate uncertainties associated with the development phases of construction projects. A set of developed indices, measures, and ratios are introduced to quantify and characterize these uncertainties. The developed framework is designed to incorporate expert opinion and provide user-system interaction. Findings – The results obtained from the application of the developed framework on actual project case not only illustrate its accuracy, but also demonstrate its capabilities for contingency management over life cycle of construction projects. Unlike other methods, the framework provides project managers with structured method for contingency depletion utilizing a set of depletion curves and selection factors. Originality/value – The novelty of the developed framework lies not only in its new developments for contingency estimating but also its modelling for contingency allocation and depletion. It is expected to be of direct value to industry professionals and academics interested in contingency management over the entire life cycle of construction projects. The proposed framework provides management functions and features beyond those generated through Monte Carlo simulation and even those developed using fuzzy set theory.

Rajeh, Mohammed ; Tookey, John E. ; Rotimi, James Olabode Bamidele

2015 Engineering Construction & Architectural Management

doi: 10.1108/ECAM-10-2014-0130

Purpose – Within construction procurement, transaction cost economics offers a mechanism to understand “unseen” costs associated with the pre- and post-contract work. Pre-contract, these include costs related to information gathering and procurement. Post-contract they include activities of contract administration and enforcement. The purpose of this paper is to estimate the magnitude of transaction costs (TCs) for different procurement systems used in construction projects in New Zealand. Specifically estimating the relative values of TCs for Traditional and Design-Build delivery systems for the purpose of comparison. Design/methodology/approach – This study develops a conceptual model for the relationship between procurement systems and TC. The model was operationalized and developed into a questionnaire. A cross-sectional sample approach was deployed, involving pilot and survey questionnaires, and results verification through “real world” cases. Data were sought from construction professionals in management, design and operations (i.e. project managers, architects, engineers, quantity surveyors, and procurement officers). TCs were measured using time-spent conducting procurement-related activities as a surrogate for cost. Professionals evaluate their time-spent in procurement activities using a Likert scale 1-5, comparing the Traditional and Design-Build delivery systems. Data were triangulated with “real world” cases to test and explain the developed model. The test included validity and reliability, path analysis, regression analysis, factor analysis, and structural equation modelling (SEM). The primary analytical technique used was SEM to yield information on goodness-of-fit, model development and comparison, and confirmatory strategies. SPSS Amos 21 statistical software was used for data analysis and model development. Findings – The results suggest that procurement systems have indirect impact on TCs. The relationship between procurement system and TCs is fully mediated by costs of information, procurement, administration, and enforcement. Applying the developed models (the Traditional and Design-Build) to “real world” cases, it was found that TCs in the Traditional system amounts to 18.5 percent of the annual salary cost of a project manager (as an indicator quantum), while in the Design-Build system, it amounts to 14.5 percent of the annual salary cost of a project manager. TCs were calculated using regression equations based on factor loadings in the Traditional and Design-Build models. Practical implications – This study applies new theoretical model for the link between procurement system and TCs, investigating and empirically demonstrating the influence of procurement system on TCs in construction. It also offers a new plausible explanation for the factors influencing TCs in procurement. The study emphasizes “in-house” TCs from the perspective of the professionals. The findings have practical implications on construction business practice due to their robust empirical nature and theoretical framework, which might enhance the performance of the construction industry. Originality/value – This study contributes to the procurement selection in construction, by introducing a new conceptual model for the link between procurement system and TCs. It has extended the current practices for procurement selection by estimating TCs for the Traditional and Design-Build systems for comparison.