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The quest for improved facilities management (FM) delivery is receiving immense focus through the incorporation of innovative technologies such as cyber-physical systems (CPS). The system’s high computational capabilities can aid in the abatement of some of the challenges plaguing FM functions. However, the requisite ingredients for the uptake of the system for FM have still not gained scholarly attention. Because performance measurement is a vital index in determining the outcome of FM methods, this study aims to investigate the influence of performance measurement indicators that are influential to the uptake of CPS for delivering FM functions.

A qualitative technique was adopted using the Delphi technique. The panel of experts for the study was selected through a well-defined process based on stipulated criteria. The experts gave their opinions in two rounds before consensus was attained on the identified performance measurement indicators, whereas methods of data analysis were measures of central tendency, inter-quartile deviation and Mann–Whitney U test.

Results from this study showed that 11 of the performance indicators were of very high significance in the determination of the uptake of CPS for FM functions, whereas 5 of the indicators were proven to be of high significance. Furthermore, there was no statistical difference in the opinions of the experts based on their affiliation with academic institutions and professional practice.

The findings of this study contribute practically by aiding policymakers, facility managers and relevant stakeholders with the vital knowledge of delivery mandates for efficient FM services that can spur the uptake of digital technologies such as CPS.

This study contributes to the body of knowledge as it unveils a roadmap of the expected performance output and its accompanying evaluation that would drive the adoption of a promising technology such as CPS in the delivery of FM tasks.

Smart factory is the most important feature of the fourth industrial revolution in the manufacturing field. In this paper, we introduce smart factory solutions suggested by the major solution providers. Furthermore, we classify solutions by the category of three value-chain activities: product development activity, product manufacturing activity, and sales activity. In addition, the status-of-art and best practices of the smart factory solutions are introduced. To examine the current trends of smart factories, we classified the manufacturing industries into four groups based on two factors: product variety and production volumes, and suggest directions for the successful application of smart factories in each industry group. Finally, we suggest strategies to improve the actual manufacturing competitiveness of factories.

This study aims to explore whether there is an association between women's empowerment and the utilization of maternal healthcare facilities.

This study considered four indices for measuring women's empowerment – labor force participation index (LFPI), decision-making power index (DMPI), attitude toward partner’s violence index (ATPVI) and knowledge level index (KLI) – and three healthcare facilities – number of antenatal visits, delivery with healthcare facilities and postnatal checkup after delivery. Data extracted for this study were from the Bangladesh Demographic and Health Survey 2011 and 2014. A chi-square test was used for bivariate analysis, and a three-level logistic regression model was applied for multivariate analysis.

An increment was observed in the practice of all considered healthcare facilities, and the percentage of highly empowered women in DMPI decreased from 2011 to 2014. This study found that higher empowerment of women in DMPI, KLI and ATPVI significantly (p-value < 0.05) increases the utilization of healthcare facilities. High empowerment of mothers in LFPI was found negatively associated with facility delivery and positively associated with the postnatal checkup.

Women's empowerment was found significantly associated with the utilization of maternal healthcare facilities. This study is seeking the attention of corresponding authority to come up with a more effective intervention program to empower women to utilize maternal healthcare facilities.

The study examined the utilisation patterns of healthcare services among tea garden workers and analysed the factors influencing utilisation in an Indian context.

The authors employed a mixed-method approach and an explanatory sequential design for the study. A survey was conducted in the beginning followed by in-depth interviews in a north-eastern state of India (Assam). Andersen health behaviour model was used to explore the factors influencing healthcare utilisation. The sample size for the survey and in-depth interviews were 300 and 19, respectively, recruited employing multistage random and purposive sampling techniques.

Out of 300 workers surveyed, 169 (56.3%) were females, 257 (85.7%) were married, 77 (25.7%) were illiterates and 229 (76.3%) had monthly household income less than 100 US$. The survey also found that 47.3% and 15.3% had non-communicable and communicable disease respectively. Most of the workers (67.3%) utilised government facilities, and close to one third (28.7%) utilised tea garden hospitals. About 63.3% had health insurance, but a majority (78.9%) did not use it previously. The analyses of interviews explored the need, enabling, predisposing factors under three important themes influencing utilisation of healthcare services among the workers.

The study generates evidence to strengthen the Indian Plantation Labour Act, 1951 for tea garden worker's welfare protection and warrants transition from colonial-era policies to contemporary industry realities in order to improve their living, employment, nutritional and health conditions.

The research adds to the existing literature on overall healthcare services utilisation (including coverage and utilisation of health insurance) among blue collar workers who usually lack access to healthcare facilities and explores important factors that determine utilisation in the Indian context.

Higher education institutions are the citadel of knowledge and are heavily involved in formulating building regulations and building infrastructure designs that must conform to the building regulations. The study aims to identify university infrastructures compliant with disabled access from the perspective of the built environment students in Ghanaian universities.

Questionnaire surveys were administered to 500 built environment students across ten technical universities in Ghana with a total population of 3066; 341 were expected based on the formula used. However, upon several reminders, 176 responded. Data collected were analysed using Statistical Package for the Social Sciences.

The findings show that all university facilities are not fully compliant with disabled access. Structures found to be least compliant are the laboratories, canteens, hall of residence, toilet facilities, football fields, places of worship and transport stations. The facilities with high compliance are the administration block, library, hospital building, lecture halls, department offices and ATM areas. The leading causes for this non-compliant are lack of enforcement of the building regulations, low level of disabled students’ enrolment, age of the building, lack of knowledge and poor building designs.

Compliance with disabled access makes universities world class and creates safe learning spaces for individuals with disabilities, enforcing the right to education for all individuals, particularly those with disabilities. Lack of compliance with disabled access will hamper the full utilisation of these facilities, thereby affecting quality education delivery to people with disabilities.

The findings are essential to the Ghanaian built environment, the lives of disabled individuals and universities. The results provide knowledge on areas of improvement for complete access to structures and facilities by disabled individuals.

The aim of this study was to explore the reasons for preferring home as a birth delivery place and identify the socio-economic and cultural factors influencing the choice of delivery place in rural Bangladesh.

The data for the study come from a community-based cross-sectional study conducted among 464 mothers in a rural sub-district of Bangladesh in 2019. Respondents were selected randomly from the frame listing all mothers with inclusion criteria, using a two-stage cluster sampling design. Data were collected through a face-to-face interview. Both descriptive and inferential statistics and logistic regression models were used for data analysis.

The results indicate a very high rate (58%) of home delivery. About 20% mothers never received ANC visit. Preference for home delivery was high (63%). Mothers with no education, aged 30 and above, multi-parity, low wealth status, lack of knowledge about institutional delivery, no or <4 ANC visits, received no advice about the delivery place, no pregnancy complications, decision about health care, and prior plan for home delivery were identified as significant predictors of home delivery. Cost of services, cultural practices and attitude towards health facility, lack of a female delivery assistant, perceived fear of caesarian section, poor quality of services, and lack of knowledge about maternity services appeared as important barriers for institutional delivery.

Based on primary data from a rural area, this study would help understand reasons and factors affecting home delivery and developing an appropriate strategy for the improvement of institutional delivery and maternity care services in Bangladesh.

The purpose of this paper is to investigate the economic feasibility of a three-echelon Halal Meat Supply Chain (HMSC) network that is monitored by a proposed radio frequency identification (RFID)-based management system for enhancing the integrity traceability of Halal meat products and to maximize the average integrity number of Halal meat products, maximize the return of investment (ROI), maximize the capacity utilization of facilities and minimize the total investment cost of the proposed RFID-monitoring system. The location-allocation problem of facilities needs also to be resolved in conjunction with the quantity flow of Halal meat products from farms to abattoirs and from abattoirs to retailers.

First, a deterministic multi-objective mixed integer linear programming model was developed and used for optimizing the proposed RFID-based HMSC network toward a comprised solution based on four conflicting objectives as described above. Second, a stochastic programming model was developed and used for examining the impact on the number of Halal meat products by altering the value of integrity percentage. The ε-constraint approach and the modified weighted sum approach were proposed for acquisition of non-inferior solutions obtained from the developed models. Furthermore, the Max-Min approach was used for selecting the best solution among them.

The research outcome shows the applicability of the developed models using a real case study. Based on the computational results, a reasonable ROI can be achievable by implementing RFID into the HMSC network.

This work addresses interesting avenues for further research on exploring the HMSC network design under different types of uncertainties and transportation means. Also, environmentalism has been becoming increasingly a significant global problem in the present century. Thus, the presented model could be extended to include the environmental aspects as an objective function.

The model can be utilized for food supply chain designers. Also, it could be applied to realistic problems in the field of supply chain management.

Although there were a few studies focusing on the configuration of a number of HMSC networks, this area is overlooked by researchers. The study shows the developed methodology can be a useful tool for designers to determine a cost-effective design of food supply chain networks.

Through its advanced computational capabilities, cyber–physical systems (CPS) proffer solutions to some of the cultural challenges plaguing the effective delivery of facilities management (FM) mandates. This study aims to explore the drivers for the uptake of CPS for FM functions using a qualitative approach – the Delphi technique.

Using the Delphi technique, the study selected experts through a well-defined process entailing a pre-determined set of criteria. The experts gave their opinions in two iterations which were subjected to statistical analyses such as the measure of central tendency and interquartile deviation in ascertaining consensus among the experts and the Mann–Whitney U test in establishing if there is a difference in the opinions given by the experts.

The study’s findings show that six of the identified drivers of the uptake of CPS for FM were attributed to be of very high significance, while 12 were of high significance. Furthermore, it was revealed that there is no significant statistical difference in the opinions given by experts in professional practice and academia.

The study’s outcome provides the requisite insight into the propelling measures for the uptake of CPS for FM by organisations and, by extension, aiding digital transformation for effective FM delivery.

To the best of the authors’ knowledge, evidence from the literature suggests that no study has showcased the drivers of the incorporation of CPS for FM. Hence, this study fills this gap in knowledge by unravelling the significant propelling measures of the integration of CPS for FM functions.

Community-based HIV testing and counselling (HTC) has been recommended for improving access to prevention, care, and treatment services in at-risk populations. Earlier systematic reviews and meta-analyses have been undertaken, but due to some methodological limitations, their findings do not yet provide a practical significance. The purpose of this paper is to re-examine the recent evidence of the efficacy of community-based HTC approaches on the uptake of HTC in at-risk populations.

The database of PubMed online, Science Direct, the Lancet Global Health, the Cochrane Central Register of Controlled Trials, and Google Scholar were systematically searched using Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to obtain empirical papers published between March 2013 and December 2015.

Of 600 collected papers, there were 6 cluster randomized trials papers which met the inclusion criteria. Compared to the health facilities-based HTC, community-based HTC approaches have been shown to improve the uptake of HIV testing from 5.8 to 37 per cent, and improve HIV testing in men and their partners together from 6.8 to 34 per cent. The community approaches also detected lower HIV-positive cases (0.29 per cent as compared to 4 per cent), improved access to treatment services from 0.3 to 25 per cent, demonstrated higher cluster differentiation 4 count in newly diagnosed patients (median of 400-438 cells/µl), and increased the rate of first-time HIV testing from 9 to 11.8 per cent. With respect to social and behavioural outcomes, community-based HTC increased social norms for HIV testing by 6 per cent (95 per cent CI 3-9), decreased multiple sex partners by 55 per cent (95 per cent CI 42-73), lowered casual sex by 45 per cent (95 per cent CI 33-62), increased knowledge about HIV (83.2 vs 28.9 per cent), improved positive attitudes towards HIV patients (73.0 vs 34.3 per cent), and increased the use of condoms (28.0 vs 12.3 per cent).

Community-based HTC combined with behavioural interventions have been found to be more effective in increasing the uptake of HIV testing as well as other outcomes as compared to the conventional health facilities-based testing and counselling approaches.