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This study aims to thoroughly examine the trends and developments of crane layout planning (CLP) in the construction field and reveal future research directions for modular integrated construction (MiC).

Through a rigorous systematic mixed-review methodology that integrates bibliometric, scientometric and qualitative analysis, this study explored the crane layout research trend; the scientometric analysis of journal sources and keywords occurrence network; the research contributions and links between influential countries; the classification of research articles based on the type of problems and solution approaches; the qualitative analysis of existing findings and research gaps; and the future research direction for CLP in MiC.

This study found five categories under the CLP domain, namely, crane selection, crane location, integrated crane selection and location, integrated crane location and allocation of supply points and hybrid problems. The major research approaches used to solve CLP is optimization (43%), visualization (23%), decision support systems (16%), simulation (11%) and qualitative techniques (7%). The possible future research directions include artificial intelligence-based models, multi-crane locations, CLP for MiC re-use, dynamic models representing real-life scenarios and building information modeling-based virtual reality models.

Through a mixed-review methodology, this study provides a comprehensive analysis of problem settings and solution methods of CLP while mitigating the subjectivity of traditional review methods. Also, it presents a repertoire on CLP and illuminates future directions for seasoned researchers in the context of MiC.

Despite long-term, sustained research and industry practice, predicting construction labour productivity (CLP) using existing factor and activity modelling approaches remains a challenge. The purpose of this paper is to first demonstrate the limited usefulness of activity models and then to propose a system model approach that integrates factor and activity models for better prediction of CLP.

The system model parameters – comprising factors and practices – and work sampling proportions (WSPs) were identified from literature. Field data were collected from 11 projects over a span of 29 months. Activity models based on the relationship between CLP and WSPs were created, and their validity was tested using regression analysis for eight activities in the concreting, electrical and shutdown categories. The proposed system model was developed for concreting activity using the key influencing parameters in conjunction with WSPs.

The results of the regression analysis indicate that WSPs, like direct work, are not significantly correlated to CLP and fail to explain its variance. Evaluation of the system model approach for the concreting activity showed improved CLP prediction as compared to existing approaches.

The system model was tested for concreting activity using data collected from six projects; however, further investigation into the model’s accuracy and efficacy using data collected from other labour-intensive activities is suggested.

This research establishes the role of WSPs in CLP modelling, and develops a system modelling approach to assist researchers and practitioners in the analysis of productivity-influencing parameters together with WSPs.

To counter the proliferation of out-of-town shopping centres, a spontaneous or planned coalition loyalty programme (CLP), one involving most retailers in an urban network, may positively affect a town centre's capacity to entice customers and may enhance its competitiveness. The purpose of this paper is to assess the effectiveness of CLP implementation in town-centre management (TCM) as a tool for enhancing urban commercial-system attractiveness.

The theoretical framework used in this study is supported by the evaluation methodologies of an empirical case study: the Savigliano Card project. CLP performance analysis uses a dynamic network-competitiveness index, an approach based on Laspeyres-type decomposition. The effects on each retailer's profitability are then tested by matching network and regression analyses.

The results suggest that CLPs implementation in a TCM scheme can produce benefits and positive externalities for customers, retailers and urban areas. CLPs can influence a town centre's revitalisation process, improve the attractiveness of the urban commercial network and increase the profitability of private retailers by enhancing cross-selling dynamics.

The paper provides a CLP performance-evaluation methodology and presents the benefits concerning CLP implementation in TCM strategies.

This type of CLP is weakly exploited in marketing theory and practice; therefore, the paper provides theoretical and empirical explanations for the measurement of CLP effectiveness in TCM. In addition, it has significant implications for both practitioners and academics.

Though widely recognized as essential for improving work performance across various domains, self-efficacy’s specific role in managing construction workforces remains understudied. This knowledge gap restricts our ability to uncover new factors that enhance workforce management effectiveness and ultimately boost construction labor productivity (CLP). To address this, our study proposes and tests a novel model. This model explores the impact mechanism of self-efficacy on CLP by investigating the mediating role of work motivation. By delving into this crucial yet underexplored area, we aim to provide valuable insights for construction project managers and researchers alike, paving the way for more effective workforce management strategies and consequently, improved CLP.

This study utilizes a mixed-method approach, incorporating both qualitative and quantitative methodologies. Data from 112 rebar workers at five construction sites in Vietnam underwent analysis using Cronbach’s alpha, exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM) to examine the novel research model.

The results indicate a positive and significant association between self-efficacy and CLP. Additionally, work motivation emerged as a full mediator in the relationship between self-efficacy and CLP. Specifically, individuals with higher self-efficacy set ambitious goals and invest more effort in their pursuit, leading to increased work motivation and, ultimately, heightened productivity levels.

The significant implications of the current study extend to construction managers and policymakers alike. Construction managers can leverage the findings to devise targeted interventions aimed at enhancing the self-efficacy and work motivation of their workforce, potentially resulting in noteworthy enhancements in CLP. Policymakers, too, can benefit from these findings by formulating policies that actively support the cultivation of self-efficacy and work motivation among construction workers. Such policies have the potential to foster a more productive and efficient construction industry, aligning with the broader goals of workforce development and industry enhancement.

This study expands existing knowledge by identifying the important role of self-efficacy in work performance enhancement and the mediating role of work motivation in terms of these relationships.

Consultation-liaison psychiatry (CLP) researchers have not yet developed accepted quality indicators to measure efficiency or effectiveness. The purpose of this paper is to combine objective and subjective quality indicators to assess hospital-based CLP service utilisation, efficiency and effectiveness.

Service utilisation rate was calculated over the service's first four years. Patient characteristics and objective quality indicators relating to response timeliness in 2012 were examined. Totally, 41 staff and 52 consecutive patients completed evaluation surveys to subjectively evaluate effectiveness.

The utilisation rate increased initially and then slightly declined to 1.03 per cent of all hospital admissions. In 2012, 91.5 per cent were seen on the same referral day and 99.4 per cent by the next day. The benchmark for urgent referrals was not met (77.4 per cent). Patients rated involvement with the CLP service a positive experience (90 per cent), but were less clear about follow-up plans (68 per cent). Staff believed that the service improved the patients’ hospital course (98 per cent) and was communicated well (93-95 per cent). Only 63 per cent agreed that relevant CLP education was provided and 76 per cent rated follow-up plans as clear.

This CLP service was evaluated by measuring utilisation rates, referral response timeliness and consumer feedback. Referral to contact time is a useful objective quality indicator but should be combined with subjective yet standardised measures surveying service recipients (patients and referring staff) to be comprehensive and meaningful.

A comparison of international construction labour productivity (CLP) is carried out by the conventional use of exchange rates to convert national construction output to a common base currency. Such measurement is always distorted by price-level differences between countries and therefore the purpose of this paper is to adopt a purchasing power parities (PPPs) approach, which eliminates price-level differences, as an alternative means of comparing CLP.

PPP construction expenditure data from the World Bank’s International Comparison Programme 2011 and employment statistics maintained by the International Labour Organization are used to generate the CLP of 93 matching economies. A one-way analysis of variance is conducted to evaluate the relationship between the development status and the CLPs.

The CLPs of developed economies are higher than developing economies in both PPPs (real) and exchange rate (nominal) measurements. The real CLPs are always higher than nominal CLP in high-income, upper-middle-income, lower-middle-income and low-income economies. Both real and nominal CLPs converge along with the economic growth.

The average figures used in the study may not always be the most representative statistics. The CLPs determined provide an initial approximation for comparison between different economies to gain further insights into the best practices and policies for the more successful economies. Future research is recommended to uncover the underlying factors of CLPs congruence.

The convergence of real and nominal CLPs when economies transit from a developing to developed status indicates that the construction product has transformed from a commonly understood non-internationally traded product to an internationally traded product.

Labour productivity in construction has fallen behind other industries in most of the world and has declined continuously for decades. Although several scholarly research projects have been conducted to salvage the prevalent low labour productivity in construction, contractors in the construction industry have continued to grapple with the devastating impact of low productivity. The purpose of this study is to determine key areas of focus necessary to promote productivity growth in construction.

Bibliometric and scientometric assessments were conducted to map the existing construction labour productivity (CLP) studies and establish key focus areas in the research domain. The keywords “Construction Productivity” OR “Construction Labour Productivity” OR “Construction Labor Productivity” OR “Construction Worker Productivity”.

Emerging trends in the CLP research field are reported. The study also determined the most productive authors and collaboration among authors, most productive journals, most active regions and publications with the highest impact in CLP research.

Documents published in the Scopus database were considered for analysis because of the wider coverage of the database. Journal and conference articles written in English language represent the inclusion criteria, while articles in press, review, book chapters, editorial, erratum, note, short survey and data paper were excluded from analysis. The study is also limited to documents published from 2012 to 2021.

The study brought to the awareness of the industry practitioners and other construction stakeholders, the key knowledge areas that are critical to promoting productivity growth in construction.

Except bibliometric analysis, previous research studies have used different approaches to investigate productivity in construction. The study presented future research directions through the emerging knowledge areas identified in the study.

The South African Government needs to increase fiscal revenues to cater to increased government spending. This paper aims to argue that the South African Revenue Service (SARS) has an opportunity to tax the receipt of customer loyalty programme awards in the hands of customers, with little amendment to current tax legislation or administration. This provides the South African Government an opportunity to increase much needed tax revenue in spite of limited resources.

Five instrumental case studies were used and analysed from a financial reporting perspective to quantify customer loyalty points earned by customers. These can form a basis for deriving the potential benefits from the taxation of customer loyalty programmes in the retail industry. The multiple instrumental case studies used and the application of accounting guidance in International Financial Reporting Standards allow generalisations to be made to highlight the amount of customer loyalty awards granted and possible tax revenues forgone in just one sector of the South African economy.

Should the proposals for taxation of customer loyalty programmes be implemented, the fiscus would be able to collect over R 234.35m (US$16.91m) in tax revenue from only five companies providing customers with loyalty awards. This indicates that this proposal for taxation is critical for investigation by the South African Government, as it may aid in achieving revenue goals for South Africa.

This paper contributes to the literature on taxation legislation within South Africa by proposing a model that may be used by the SARS to increase tax revenues to meet the Government’s needs.

Small and medium-sized contractors are critical to micro and macroeconomic performance. These contractors in South Africa have long been confronted with the problem of business failure because of a plethora of factors, including poor productivity. The purpose of this study is to investigate salient issues undermining the productivity of small and medium-sized contractors in South Africa. This study proposes alternative possibilities to engender productivity improvement.

Qualitative data were collected using semi-structured interviews with 15 contractors in Gauteng Province, South Africa. The research data were analysed using content and causal layered analyses.

Challenges to contractors’ productivity were associated with inadequately skilled workers, management competence and political factors. Skills development, construction business and political factors were dominant stakeholders’ perceptions. Metaphors for construction labour productivity are presented and reconstructed as alternative directions for productivity improvement.

Contractors lose a substantial amount of South African Rand to poor productivity. Alternative directions provided in this study can be leveraged to increase profitability in construction organizations, enhance the social well-being of South Africans and ultimately improve the contribution of contractors to the South African economy.

The causal layered analysis (CLA) applied in this study is novel to construction labour productivity research. The four connected layers of CLA, which make a greater depth of inquiry possible, were explored to investigate labour productivity in construction organizations.

The global construction industry is significant to economic development, whereas the sector, particularly its small and medium sized enterprises (SMEs) have continued to suffer from low labour productivity for decades. This has given rise to the concern of relevant construction stakeholders on the need to address the challenges undermining labour productivity growth in construction. Hence, this study aims to conduct a meta-data analysis of factors that hamper productivity growth of construction SMEs in developing countries.

A systematic review of existing studies relative to factors affecting construction labour productivity (CLP) is presented. Thereafter, eight developing countries-based studies that are specific to SMEs were selected for meta-data analysis using relative importance index values from the studies.

The essential productivity influencing factors were identified and quantitative data of the selected studies were synthesised. The effect summaries derived from the meta-data analysis revealed that the most significant factors that negatively affect CLP amongst SMEs include: workers’ skills, inadequate training, rework, management style and incentive to labour.

The study is limited to scientifically analysed secondary data relative to SME contractors in developing countries.

The findings of the study can be adopted by construction stakeholders to evolve productivity growth policies for construction SMEs in developing countries.

Synthesis of quantitative data of different studies has lent deeper insight into a more realistic and scientific precision of factors affecting labour productivity of construction SMEs.