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This research examines the association of physical development density, prevalence and types of microbes in colonized façade finishes of buildings in Enugu metropolis, Nigeria.

Survey and experimental research designs were adopted. A total of 383 buildings were investigated with samples collected from those with colonized façade finishes. The microbes were identified using the standard procedure for genomic sequencing with descriptive statistics, and the chi-square test used to analyse the data.

The results revealed a 64% prevalence of microbial colonization and a significant association between this and physical development density with 71.0% of the colonized buildings located in high-density neighbourhoods of the metropolis. The sequencing also showed 24 different microbes with Trichophyton tonsurans, Trichophyton mentagrophytes and Trichoderma harzianum species being the most common in the colonized façade finishes.

The research informs building professionals and owners of the specific microbes involved in the colonization of façade finishes of buildings in high-density urban areas. It also provides a clue about the nature of damages and defects associated with microbial colonization of building façades and the type of biocide additives required for the production of microbial-resistant façade finishes in the hot-humid tropical environment of Nigeria and beyond.

The study has shown that there is a significant relationship between the intensity of urban land use and microbial colonization of façade finishes of buildings. It also identified some new or less known microbes responsible for the biodeterioration of façade finishes and the effects this has on the buildings and public health in the hot-humid tropics of Enugu, Southeast Nigeria.

Buildings respond differently to microbial invasion depending on the design, type of construction materials and finishes used and extent of exposure to climatic factors. However, in the hot-humid tropical environment of Nigeria, much is not known about how buildings with different types of façade finishes or claddings are liable to microbial decay. The purpose of this research is to investigate the susceptibility of buildings with different types of façade finishes to microbial decay in Enugu metropolis, southeast Nigeria.

A survey involving physical observation of purposively selected 383 buildings and questionnaire administration to their owners was carried out in the study area. The data were subjected to descriptive and logistic regression analyses.

Most of the 383 buildings sampled were less than 41 year and 47% of them had painted façade finishes followed by 25.1% with cementitious finishes. Around 63.4% of the buildings had their façade finishes or claddings colonised by microbes. Older buildings of 15 years and above and those with cementitious materials and paints as their predominant façade finishes were more likely to experience microbial decay than newer ones and those having refractory bricks, ceramic tiles, aluminium composite materials and plastics/polymers as their predominant façade finishes or claddings.

The study identifies the categories of buildings that are likely to be more susceptible to microbial decay; and thus contributes to research on how to slow down the rate of biodeterioration of building façade finishes or claddings in the hot-humid tropical environments.

This is the first study on the susceptibility of buildings with different types of façade finishes or claddings to microbial decay in the hot-humid tropical environment of Enugu metropolis, southeast Nigeria. It also provides a clue on the age at which buildings become more vulnerable to microbial decay in the study area.

This study aims to investigate the spatial distribution of housing prices and identify the affecting factors (independent variable) on the cost of residential units (dependent variable).

The method of the present study is descriptive-analytical and has an applied purpose. The used statistical population in this study is the residential units’ price in Tehran in 2021. For this purpose, the average per square meter of residential units in the city neighborhoods was entered in the geographical information system. Two techniques of ordinary least squares regression and geographically weighted regression have been used to analyze housing prices and modeling. Then, the results of the ordinary least squares regression and geographically weighted regression models were compared by using the housing price interpolation map predicted in each model and the accurate housing price interpolation map.

Based on the results, the ordinary least squares regression model has poorly modeled housing prices in the study area. The results of the geographically weighted regression model show that the variables (access rate to sports fields, distance from gas station and water station) have a direct and significant effect. Still, the variable (distance from fault) has a non-significant impact on increasing housing prices at a city level. In addition, to identify the affecting variables of housing prices, the results confirm the desirability of the geographically weighted regression technique in terms of accuracy compared to the ordinary least squares regression technique in explaining housing prices. The results of this study indicate that the housing prices in Tehran are affected by the access level to urban services and facilities.

Identifying factors affecting housing prices helps create sustainable housing in Tehran. Building sustainable housing represents spending less energy during the construction process together with the utilization phase, which ultimately provides housing at an acceptable price for all income deciles. In housing construction, the more you consider the sustainable housing principles, the more sustainable housing you provide and you take a step toward sustainable development. Therefore, sustainable housing is an important planning factor for local authorities and developers. As a result, it is necessary to institutionalize an integrated vision based on the concepts of sustainable development in the field of housing in the Tehran metropolis.

The innovativeness of dressmakers is a concern to respondents to satisfy their clothing needs. The purpose of this study is to determine the criteria that respondents use to judge the quality of clothing and its influences on the innovative ability of dressmakers in the clothing manufacturing industries.

Three hundred and ninety-seven (397) respondents in the Takoradi Metropolis of Ghana filled out a questionnaire, and the results were used to compile data for the study. The sample size was calculated using Miller and Brewer formula. The data was analysed using structural equational modelling with the SmartPLS v.4 software.

The results showed that respondents are very interested in the calibre of clothing produced by their dressmakers. However, the study revealed that when evaluating the quality of a garment, respondents do not simply accept what has been sewn for them but also consider the performance, appearance, fit and shape of the garment. Findings revealed that there was a significant relationship between garment appearance quality (t = 2.605; p < 0.05), garment performance quality (t = 3.915; p < 0.05), garment shape quality (t = 6.248; p <0.05) and fashion innovations. Subsequently, the evaluation of garment fit quality by respondents revealed it does not bring about innovations (t = 1.310; p > 0.05).

The continuous evaluation of custom-made clothing from customers will go a long way towards highlighting the relative criteria they use to evaluate the innovation of dressmakers. This will help improve the creativity of the dressmakers since such feedback will help them understand and innovate their production skills to meet the preferences of customers.

The present study provides an in-depth understanding of how garment quality evaluation by customers influences the innovation of dressmakers in Takoradi, Ghana. The constructs were developed for the study to capture the appropriate data from customers for the study. This presents an evaluation criterion on four garment quality variables imperative for use or modification by other studies.

One of the challenges of urban management is to provide an entrepreneurial environment for the general population, which can be realized by the development of the entrepreneurial city, which will ultimately cause economic sustainability. In order to create an entrepreneur city, it is necessary to create and develop some infrastructures, one of the most important of which is Internet of things (IoT)-based technological infrastructures, so that municipalities have a leading role. The purpose of this paper is to investigate this phenomenon.

The research method is a case study type, and a triangulation mixed-method research design has been used for it. For data collection in the quantitative section, questionnaire tools and in the qualitative section, interview tools as well as coding related upstream documents in the municipality were used.

The findings showed that with the development of the IoT infrastructure, the conditions will be provided for creating an entrepreneurial city and its formation process will be accelerated, so that it will eventually leading to economic sustainability. It was also found that the conditions for the development of urban entrepreneurship based on IoT in the metropolis in question are not favorable. Finally, suggestions were made to improve this situation.

This study contributes to the entrepreneurship literature and economic sustainability by explaining a new concept of an entrepreneurial city and defines the role of IoT infrastructure in its development. Existing literature on the systematic use of IoT in applied fields is still scarce, and this study provides useful insights into it.

Modular integrated construction (MiC) is a modern construction method innovating and reinventing the traditional site-based construction method. As it integrates advanced manufacturing principles and requires offsite production of volumetric building components, several factors and conditions must converge to make the MiC method suitable and efficient for building projects in each context. This paper aims to present a knowledge-based decision support system (KB-DSS) for assessing a project’s suitability for the MiC method.

The KB-DSS uses 21 significant suitability decision-making factors identified through literature review, consultation of experts and questionnaire surveys. It has a knowledge base, a DSS and a user interface. The knowledge base comprises IF-THEN production rules to compute the MiC suitability score with the efficient use of the powerful reasoning and explanation capabilities of DSS.

The tool receives the inputs of a decision-maker, computes the MiC suitability score for a given project and generates recommendations based on the score. Three real-world projects in Hong Kong are used to demonstrate the applicability of the tool for solving the MiC suitability assessment problem.

This study established the complex and competing significant conditions and factors determining the suitability of the MiC method for construction projects. It developed a unique tool combining the capabilities of expert systems and decision support system to address the complex problem of assessing the suitability of the MiC method for construction projects in a high-density metropolis.

The authors examine the effect of supply chain resilience (SCR) on supply chain performance (SCP) while considering the moderating effect of supply chain network complexity (SCNC) on the nexus between SCR and SCP of manufacturing firms.

The quantitative research approach and explanatory research design were utilised for this study. A sample of 345 manufacturing firms in the Accra metropolis was drawn. The partial least square structural equation modelling was employed.

Findings from the study revealed that SCR has a significant positive effect on SCP. However, SCNC had a significant negative moderating effect on the relationship between SCR and SCP.

The authors advocate that manufacturing firms are prone to stronger impact from complex networks that mitigate the already existing positive relationship between SCR and SCP and is dependent on the context in which the study is executed, and the extent to which resilience strategies are robust. Thus, the SCNC has an adverse impact on how well partners interact and how well the supply chain functions.

This is the first study that quantitatively investigates the SCR impact on SCP in the presence of SCNC of manufacturing firms in the context of a developing economy. The study redefines SCNC from earlier studies.

In this article, the aim is to document the divergences/convergences between the market perceptions of quality and the financial estimations for office buildings relative to the notion of centrality and the distance to the central business district (CBD).

Based on a hierarchical approach that decomposes and estimates the perceived quality of buildings from the stakeholders’ perspectives, we study the geographies of perceived quality measures in the Greater Paris Metropolis and compare them to the financial geography.

The perceived location quality decreases with distance from the CBD whereas judgments on the built structure and the workplace do not, exhibiting a ring-shaped pattern. The gradient of the components of the perceived quality are heterogeneous, having positive, negative or null values. Appraisers tend only to consider the quality of location in their estimations.

This article raises the issue of fair spatial judgments by appraisers and the financial market. Monocentricity is not the rule in the market perceptions of quality. It suggests that financial estimates are strongly biased, with mental representation of centrality as a judgmental heuristic.

This study aims to assess dietary choices of pregnant women and its relationship with their anaemia status.

A mixed-method study comprising a survey and three focus group discussions (FGDs). The survey included 380 adult pregnant women with data collected on food choices, preferences and haemoglobin (Hb) status.

More than 50% of women in the study had Hb concentration < 11.0 g/dl; mean Hb was 10.24 g/dl (SD = 1.59). Univariate analysis was used to generate descriptive tabulations for socio-demographic characteristics of respondents, dietary choices for women and anaemia status. T-test and bivariate analysis between dietary diversity score of the women among the food groups consumed as well as their anaemia (Hb) status. This showed that women with high dietary diversity score had improved Hb status (P = 0.003), and those who consumed meat and fish as well as dark leafy vegetables had significantly high diversity scores (P = 0.031 and P = 0.049). Thematic analysis was used for analysing qualitative data.

The sample used in the study is unlikely to be fully representative of pregnant women in the Accra Metropolis. In addition, this study used a cross-sectional study design, making it difficult to establish causal associations between nutritional status and food choice of pregnant women. It does not also show variation in dietary practices by seasons of the year. The scope of the study did not allow for a detailed analysis, and this should be considered in future studies. Also, the study did not explore an obstetric factor like past bleeding history as well as the menstrual cycle of these pregnant women, as these factors are likely to interfere with the anaemia status of the pregnant women.

This paper contributes significant value by specifically focusing on and clarifying the complex relationship between dietary choices and aneamia among pregnant women. It also provides insights into the distinct dietary patterns and preferences of pregnant women, which may be contributing to the high prevalence of aneamia. The results of the study can inform the development of localized, evidence-based interventions to address this critical public health concern, ultimately leading to improved maternal and foetal health outcomes.

Pre-letting and pre-sale financing arrangements have been widely adopted to increase housing delivery in the developed economy. Despite the increasing level of adoption in some developed countries, some are reverting to spot property buying because of factors militating the adoption of pre-letting and pre-sale financing. However, little has been done on the factors influencing the adoption of these trust-based financing arrangements in the developing economy where there are challenges of trust and market transparency.

Using a closed-ended questionnaire, 87 property development companies (PDCs), which constituted 63.5% of the 137 PDCs in Lagos metropolis, were sampled. Variables that influence adoption of pre-letting and pre-sale financing arrangements were presented to respondents for rating on a five-point Likert scale, ranging from 1 (not influential) to 5 (very highly influential). With the aid of SPSS software, acquired data were analysed using principal component analysis (PCA), mean rating and standard deviation.

The PCA finding revealed that factors influencing the adoption of pre-letting and pre-sale financing had 69.641% total variance. Top-rated components were fear of financial risk and firm’s reputation and poor government involvement and contractors' credibility, with 15.114% and 11.895% variances, respectively. The study findings suggested that the buyers' apprehension regarding the transfer of financial risk and the reputation of the firms significantly influence their decision to embrace both arrangements. As a result, the buyers' willingness to engage the financing arrangements is reduced, which consequently imparts adoption negatively. Furthermore, there is worrisome lack of government involvement, a crucial aspect for the success of such arrangements.

Pre-letting and pre-sale financing arrangements are found to be highly suitable for environments where there is trust. The findings enlighten the development firms on the need to uphold their reputation, as buyers attach great significance to the credibility and integrity of the companies they engage in business.

This paper is one of the few attempts that have sought to explore the factors influencing pre-letting and pre-sale financing arrangements in an emerging market like Nigeria.