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The purpose of this paper is to model the critical success factors of construction project management (CPM). Despite the emergence of construction project management as an academic discipline, existing instrument found in literature were for measuring the importance of Construction Managers and Project Managers skills or attributes yet the combined dual role of Construction Project Management as a discipline or profession remains under researched. After collecting 58 empirical observations from within the South African construction related organisations, the paper tests the theoretical relationships by using the structural equation modelling (SEM) technique. The research identifies six factors which are critical for the effectiveness of CPM. The study also highlights the benefits of modelling the factors using tradition methods such as bivariate correlation and multiple regression analysis techniques to extract factors of CPM. The results indicate that correlation between the “hard” and “soft” skills is necessary for the effective implementation of Construction Project Management. The proposed theoretical model not only has the potential to enhance competitive success but can act as a valuable diagnostic tool in addressing the effectiveness of construction project management.

The thermophysiological comfort of fabrics is prerequisite as customers covet adequate moisture, heat management-supported and UV protective clothing that measure up to their levels of activities and environmental conditions. Hitherto, scant tasks have been reported with the purpose of engineering both comfort and UV protection simultaneously. From that vantage point, the objective of this work is to develop a model for optimum UPF, air permeability, water-vapour resistance, thermal resistance, thermal absorptivity and areal density of knitted fabrics.

Weft knitted fabrics of various compositions were investigated. UPF was tested using the Labsphere UV transmittance analyser. The FX 3300 (Textest instruments) air permeability tester was used to test air permeability. Thermal comfort and water-vapour resistance were evaluated using the Alambeta and Permetest instruments, respectively. Based on image processing, the porosity was measured. Fabrics thickness and areal density were measured according to standard methods. Furthermore, parametric and non-parametric statistical test methods were applied to the data for analysis.

Linear regression was substantiated by Kolmogorov-Smirnov test. Then multiple linear regression of porosity and thickness together on UPF and comfort parameters were visually depicted by virtue of 3D linear plots. Residual analysis with quantile-quantile and probability plots, advocated the tests using the Shapiro-Wilk test. The result was validated by comparison with experimental data tested. The samples gave satisfactory relative errors and were supported by the z-test method. All tests indicated failure to reject the null hypothesis.

The predictive models were embedded into an interactive computer program. Fabric thickness and porosity are the inputs needed to run the program. It will predict the optimum UPF, areal density and thermophysiological comfort parameters. In a nutshell, knitters may use the program to determine optimum structural parameters for diverse permutations of UPF and thermophysiological comfort parameters; scilicet high UV protection together with low thermal insulation combined with low water-vapour resistance and high air permeability.

The purpose of this paper is to gain more insight of the nature and strength of relationships among the three triple bottom line (TBL) outcomes, namely corporate environmental performance outcome (CEPO), corporate social performance outcome (CSPO) and corporate financial performance outcome (CFPO) and to evolve a roadmap for integrating sustainable business practices that facilitates in managing and improving their sustainable performance. Literature reports that currently businesses try to achieve economic, social and ecological goals independently resulting in silos. The interrelationships of TBL elements have not been explored and integrated. The literature has already pointed out that to achieve corporate sustainability, managers need to integrate TBL goals in all their business decisions. However, the question remains – how to integrate these three competing goals and this paper attempts to answer this question.

In the research design, the authors use a quantitative research methodology with data collected by means of a survey questionnaire that included both descriptive and exploratory flavour. The empirical study examines the relationships of TBL elements as perceived by 85 different Australian-based large, medium, as well as small business organisations. The data collected were analysed by performing factor analysis on 21 items resulting in three latent factors that were aligned to TBL outcomes and the correlations among them were analysed to assess their interrelationships.

The results of the study report weak, positive relationships existing between the TBL. This result has useful implications well-supported by the qualitative feedback. The paper argues that Australian managers do not see any strategic advantage in pursuing “beyond compliance” sustainable business practices, as they perceive no added value to their organisations’ financial performance outcomes. Integrating economic, social and ecological performances is seen as an additional management burden.

While most of the TBL studies conducted worldwide focus on predominantly assessing large organisations toward responsible and sustainable business practices, this paper considers large, medium as well as small businesses. Also, economic, social and environmental issues are explored by organisations individually, while this study investigates their inter-connections. Through the empirical study, this paper provides recommendations and proposes a four-step roadmap with the participation of quality circles that would facilitate the integration of the social responsibility and environment protection practices into the core business operations paving way towards achieving corporate sustainability.

The purpose of this paper is to investigate the inter-relationships among three triple bottom line (TBL) outcomes of corporate sustainability, namely, corporate environmental performance outcome (CEPO), corporate social performance outcome (CSPO) and corporate financial performance outcome (CFPO), with the aid of an empirical study conducted in Australian businesses. The paper also aims to provide a roadmap for integrating sustainable business practices using information systems (IS) approach of continuous improvement lifecycle. Current business practices try to achieve economic, social and ecological goals independently as silos due to the individual operational challenges posed by each of these TBL principles.

The research design mainly adopts a quantitative research methodology with data collected by means of a survey questionnaire that included both descriptive and exploratory flavour. The empirical study examines the relationships of TBL elements as perceived by 85 different Australian-based large, medium as well as small business organisations. The data collected were analysed by performing factor analysis on 21 items, resulting in three latent factors that were aligned to TBL outcomes and the correlations among them were analysed to assess their inter-relationships.

The results of the study report weak and positive relationships existing between the TBL elements, with insights gained through the study leading towards useful implications that are well-supported by the qualitative feedback. The empirical study has also resulted in providing practical recommendations and an implementation framework consisting of a four-step roadmap with the participation of quality circles within an IS approach.

The study focuses on inter-relationships and integration of TBL elements in Australian businesses. This could be extended to other businesses in different countries. The proposed roadmap with a continuous improvement cycle of system implementation steps facilitates any organisation to adopt an incremental integration of the social responsibility and environment protection practices within its core business operations for achieving corporate sustainability.

While most of the TBL studies conducted worldwide focus on predominantly assessing large organisations towards responsible and sustainable business practices, this paper considers large, medium and small businesses. The research methodology adopted in this study as well as the proposed IS approach with quality circles add value to a growing body of literature with a recent increasing focus on integrated approaches for corporate sustainability.

Lightweight, open construction cotton knitted fabrics generally do not impart good protection from solar ultraviolet radiation (UVR). As lightweight 100% cotton single jersey is highly cherished for summerwear, it is sine qua non to understand the structural parameters that effectively strike a good balance between UV protection and thermophysiological comfort of the wearer. Relatively heavy fabrics protect from UVR, but comfort is compromised because of waning porosity, increase in thickness and thermal insulation. The purpose of this paper is to engineer knits that will bestow maximum UV protection while preserving the thermophysiological comfort of the wearer.

In total, 27 cotton single jersey fabrics with different areal densities and yarn counts were selected. Ultraviolet protection factor (UPF) was calculated based on the work of Imrith (2022). To précis, the authors constructed a UV box to measure the UPF of fabrics, denoted as UPF_B. UPF_B data were correlated with AATCC 183-2004 and yielded high correlation, R² 0.977. It was concluded that UPF 50 corresponds to UPF_B 94.3. Thermal comfort properties were measured on the Alambeta and water-vapour resistance on the Permetest. Linear programming (LP) was used to optimize UPF_B and comfort. Linear optimization focused on maximizing UPF_B while keeping the thermophysiological comfort and areal density as constraints.

The resulting linear geometrical and sensitivity analyses generated multiple technically feasible solutions of fabrics thickness and porosity that gave valid UPF_B, thermal absorptivity and water-vapour and thermal resistance. Subsequently, an interactive optimization software was developed to predict the stitch length, tightness factor and yarn count for optimum UPF_B from a given areal density. The predicted values were then used to knit seven 100% cotton single jersey fabrics and were tested for UV protection. All seven fabrics gave UPF_B above the threshold, that is, higher than 94.3. The mathematical model demonstrated good correlations with the optimized parameters and experimental values.

The optimization software predicted the optimum UPF_B reasonably well, starting from the fabric structural and constructional parameters. In addition, the models were developed as interactive user interfaces, which can be used by knitted fabric developers to engineer cotton knits for maximizing UV protection without compromising thermophysiological comfort. It has been demonstrated that LP is an efficient tool for the optimization and prediction of targeted knitted fabrics parameters.

The purpose of this paper is to assess the role of National Rural Health Mission (NRHM) in reducing Infant Mortality in India. The study will help the government in deciding its future course of action regarding the infant mortality rate (IMR) reduction in India.

This paper adopts the interrupted time series analysis (ITSA) approach with a control group to study the role of NRHM in reducing the IMR in India. The authors examined infant mortality in rural areas of India for the level and trend change before and after the implementation of NRHM. The authors then applied a suitable ARMA model to estimate the coefficients of the regression model. From the estimated results, the study predicts the counterfactuals for both the rural IMR and urban IMR and plots the results.

The study found the evidence supporting the hypotheses that the NRHM has led to a reduction in the difference between urban IMR and rural IMR. The research shows that the rural IMR declined at steeper rates in the post-NRHM period (2005–2015).

None of the existing studies analyses the impact of a social scheme like NRHM on the reduction of IMR in India by applying the ITSA. The study is unique as it estimates the counterfactuals and plots the results which show the impact of NRHM on reducing IMR.

The purpose of this paper is to design a simple step-stress model under type-I censoring when the failure time has an extension of the exponential distribution.

The scale parameter of the distribution is assumed to be a log-linear function of the stress and a cumulative exposure model is hold. The maximum likelihood estimates of the parameters, as well as the corresponding Fisher information matrix are derived. Two real examples are given to show the application of an extension of the exponential distribution in reliability studies and a numerical example is presented to illustrate the method discussed here.

A simple step-stress test under cumulative exposure model and type-I censoring for an extension of the exponential distribution is presented.

The work is original.

There is evidence in the literature suggesting the usage of performance measurement framework (PMF) has a positive impact on organisational performance. This is in line with resource based view (RBV) theory, which argues attaining competitive advantage through internal resources and capabilities. In this regard, PMF can be viewed as a “resource” that can be explored in enabling organisational performance. This paper is aimed at developing PMF for the oil and gas supply chain (SC) as a resource and strategic capability.

Drawing on RBV theory, a questionnaire survey was designed based on prior literature review and exploratory interview with five SC experts. Following this, the questionnaires were distributed to 550 companies in the UK and 120 companies in Malaysia, which resulted in 15% overall response rate.

This study presents the prevalence of performance measures (PM) for the oil and gas industry based on the level of importance. It also reveals the impact of the usage of PMF on overall organisational performance. In addition, it identifies the challenges in managing SC performance and factors to be considered in choosing PM.

This study identifies the challenges in managing SC performance and establishes distinctive factors to consider when choosing PM in the oil and gas SC.

This paper aims to investigate the strength at interlayer of specimens fabricated using Contour Crafting (CC) to develop a concrete mixture for large-scale three-dimensional printing.

The collected data from several experiments were analyzed to understand significant factors and their interactions. After developing the empirical model, condition for maximum desirability was identified and the model was validated.

The experimental investigation of varied combination of concrete components introduced an empirical model which can predict the strength at interface. Moreover, an optimized mixture within constrains of the CC nozzle was developed and validated.

Several experimental samples were tested, and the derived empirical model was validated after more than 600 h of work.