Retail Property Investment in Tanzania: Unveiling Economic, Location, and Property Factors Influencing Operational Performance in Dar Es Salaam

This study explores the main factors that affect how well retail property investments perform in Dar es Salaam, the economic heart of Tanzania. It looks closely at how economic conditions, properties\u27 location, and physical characteristics influence investment returns. The research uses a mixed-methods approach, combining survey data with interviews to understand what drives success in this sector. From the findings, several economic factors—such as people\u27s buying power, rental income, day-to-day costs, and how well those costs are managed—play a big role in determining performance. At the same time, where a property is located, including how accessible it is, the state of nearby infrastructure, and the type of surrounding businesses, also matter a great deal. Features of the property itself, like the quality of the building, available facilities, and how it is managed, further influence its success. The study is supported by well-established theories like the Resource-Based Theory, Location Theory, and the Theory of Performance, which help explain how internal and external factors combine to shape investment outcomes. Based on the results, the research offers practical recommendations for improving retail property performance, including better planning, improved property management, and supportive policies. These insights are particularly useful for investors, policymakers, and urban planners working in growing cities like Dar es Salaam and other parts of the developing world

Public Real Estate Management Practices and Challenges in Zimbabwe

Governments own properties and infrastructure to fulfil their primary goal of service delivery. However, problems exist as this goal outweighs that of making profits, yet finances are needed for maintenance and upkeep. The research investigated public real estate management practices, the extent to which the practices are implemented, and the challenges affecting public real estate management in Zimbabwe. A quantitative research approach was adopted, which involved distributing questionnaires to government officers and executives responsible for public real estate management in Bulawayo. The data was analysed using descriptive statistics to compute mean scores (MSs) and frequencies. The results suggest that the most frequently implemented practices are asset registration and record keeping, rent collection, periodic/regular reporting, financial analysis, and leasing property to private organisations. Furthermore, the primary challenges encountered in public real estate management include inadequate financing, lengthy budget approval processes, a lack of effective information technology systems and skills, poor communication as well as high cost of building materials. The results highlight the need to design interventions that ensure that public sector real property is maintained adequately, promoting a proactive approach to management, and also integrating technology into public sector real property management. This will help improve the population\u27s welfare and living standards while unlocking the potential of the property values of all government properties to regenerate income even from non-core real estate

Correlation between Demographic Characteristics and Building Material Preferences of Civil Servants in Abuja

Building material preferences is an aspect of housing preference that has received very little attention from researchers over the years. Materials used in buildings are a function of their availability and suitability, as well as different demographic characteristics. It is crucial for stakeholders in housing provision to understand the building material preferences of individuals based on their demographic characteristics. Majority of governments’ previous housing projects were targeted to workers but failed due to the lack of prior study of their housing preferences. Therefore, this study seeks to assess the links between demographic characteristics and building material preferences among Federal civil service workers in Abuja, Nigeria. The survey method was adopted in this study, and data were collected using structured questionnaire. The population of the study was the Federal civil service workers in all the Federal Ministries in Abuja, and a sample size of 2,133 was gotten out of 40,884 sample frame using Slovin\u27s formula. The respondents were sampled using simple random sampling technique, and the data collected were analysed using both descriptive and inferential statistics analysis methods. The findings of the study show that most of the correlations are weak (|R| < 0.2), indicating minimal practical significance, despite statistical significance. Preferences for window material and type of door show relatively consistent significant associations across multiple variables. Significant p-values indicate patterns worth investigating further, but the weak R-values highlight that other factors likely have stronger influences on material preferences. The study recommends that further investigation should be conducted on the interrelationship between building material preferences and demographic attributes

Corruption in Urban Land Governance in Sub-Saharan Africa: A Pentapartite Comparative Approach

This research focuses on corruption in urban land governance in Kenya, Ethiopia, Zimbabwe, Nigeria, and Namibia, whereby the data collected are secondary data from different sources, including Transparency International and literature review. The research utilizes the document review method in a qualitative research approach to analyze secondary data extracted from reliable websites and literature from Google Scholar, Scopus, and Web of Science. The study also further focuses on areas of high corruption risk in urban land management and the roles of political, economic, and historical imperatives in land management for the analysis of the corruption perceptions index for 2023. Hence, the corruption indices vary radically depending on the country in question and the lowest of those indices prove that corruption constitutes massive challenges. Political actors, economic interests, and each country\u27s historical context shape these patterns. This evil has been termed broadly to slow down urban development, increase the cost of housing, and promote inequality. Any mechanisms of combating corruption should be based on the specific features of the political and socio-economic environment of the countries. As a result, the research has highlighted the importance of enhanced legal reforms, openness, and accountability towards the fight against corruption with particular reference to the Sub-Saharan Africa region in relation to fair and prudent land management

The Impact of ESG Components on Market Value Changes in Commercial Property Valuation: Challenges and Insights from Sri Lankan Valuers

The study empirically verifies whether ESG components play a significant role in impacting the market value of commercial properties in the context of Sri Lanka along with identifying the issues and challenges associated with the ESG application in commercial property valuation. The study employed both qualitative and quantitative research approaches that involved scaled questionnaires and structured interviews with preset samples. The findings from quantitative analysis reveal the highest mean value is recorded in the environment component (3.72), while the correlation is positive with overall ESG and significant on all three ESG components. The issue of limited concern of ESG by the small-scale commercial properties and the challenge in quantifying ESG components present as the major challenges that the valuers face was highlighted in the content analysis. This research contributes to the literature on the relationship between the perspective of the ESG consideration by the valuers and market value and the challenges and issues faced by professionals in the valuation of commercial properties in Sri Lanka. The study draws the attention of responsible authorities to consider developing a framework to consider ESG in property valuation

Impact of Factors Influencing Organizational Readiness to Adopt the Build-Operate-Transfer Model in Yemen’s Infrastructure Projects

The Build-Operate-Transfer (BOT) model presents a viable approach to financing infrastructure projects, especially in contexts with constrained public funding. Despite its potential, the model remains relatively unfamiliar in Yemen, with limited empirical research on its adoption. This study aims to examine how organizational factors, specifically structure and culture, affect an organization\u27s readiness to adopt BOT in the Yemeni infrastructure sector. Drawing on theories of organizational readiness and innovation adoption, this study proposes and empirically tests several hypotheses. Using stratified sampling, a questionnaire survey was distributed to senior managers and executives in both public and private organizations. Data were collected from 269 respondents and analyzed using multiple regression, correlation, and factor analysis to identify the key determinants of BOT readiness. The findings reveal that structural factors, namely formalization and centralization, play a significant role in influencing BOT adoption, whereas organizational culture did not show a statistically significant impact. These findings underscore the dominance of top-down decision-making in Yemeni organizations, thereby diminishing the influence of cultural factors on strategic adoption. The study contributes to the BOT literature by offering empirical evidence from a bureaucratic, hierarchically structured environment. It also extends the theory of organizational readiness to the BOT context

An Examination of the Physical Characteristics of Privately Developed Student Housing in Studentified Neighbourhood of Calabar, Nigeria

In recent years, off-campus student housing has gained significant attention in developing countries like Nigeria, driven by the surge in students’ enrolment into tertiary institutions. As investments in this sector grow rapidly, students are placing greater emphasis on specific characteristics of their accommodations, seeking satisfaction and value. Hence, this study investigates the physical characteristics of the off-campus, privately developed student housing with a view to providing information on the physical attributes of this asset class to aid investment decisions. This research employed a descriptive case study approach. The results and discussions were limited to quantitative evidence. A census sampling technique was adopted in gathering the study data from 73 individual student housing units out of the 92 units that were available in the studentified neighbourhood of Calabar. To ensure targeted data collection, the studentified neighbourhood was stratified into three distinct categories based on proximity to major tertiary institutions: the University of Calabar stratum, the University of Cross River stratum, and the College of Health Technology stratum. This stratification allowed for a comprehensive analysis of student housing physical characteristics within each institutional context. The findings reveal that student housing in the study area primarily features ensuite rooms (91.78%), with most measuring 9m2-11.99m2. Again, the results showed that student housing units typically have 21-40 rooms and are of flat-style designs (60.28%). Further analysis of student housing building contents, facilities and services led to the categorisation of the student housing into three groups. The groups are high-tech/premium, middle-end, and low-end student housing units. For strategic investment decisions, student housing investors should consider a holistic review of student housing building contents, facilities and services. This will enable the investors to align their investment motives to a particular student housing unit category

Exploring Factors Enhancing the Implementation of Supply Chain Management in the Nigerian Construction Industry: A Qualitative Study

Supply Chain Management (SCM) plays a pivotal role in driving economic growth by enhancing efficiency, reducing costs, and fostering competitiveness in Nigeria. Despite the growing importance of SCM in the construction industry, many construction firms in Nigeria are yet to effectively implement SCM practices. This has led to inefficiencies, delays, cost overruns, and poor project outcomes. Therefore, there is a need to establish factors that enhance the implementation of SCM in construction firms in Nigeria. The study relied on qualitative research using a case study methodology, primarily employing interviews to gather data from twenty construction companies in Abuja, Nigeria. Ten medium-scale and ten large-size (total of twenty) construction firms were interviewed, however, only ten out of twenty targeted interviews were achieved within four months. The interview response rate is fifty percent, and this showed the trait of multiple case studies. The study applied content analysis, which is an explicit approach in thematic analysis. The study deploys content analysis to explore a detailed conversation, ensuring clear interpretation. The study established undertaking digital transformation/technological innovation, collaboration, training and development, and information sharing as critical factors enhancing the implementation of SCM. The study has provided enhancements to help construction firms implement SCM in the industry. The study contributes to the body of knowledge on SCM construction and provides a practical model for its implementation. The study recommends investments in digital transformation and training and skill development programs for the enhancement of SCM capabilities

Integrating Digital Twins in Real Estate: Revolutionising Property Management

The use of digital twin technology in property management is examined in this study, with a focus on the Malaysian real estate market. Thus, the goal is to use digital twins with real-time monitoring, predictive maintenance, and building system optimisation to overcome the inefficiencies of traditional property management. The study has various significances, first as it fulfils the research goals of not only pinpointing the inefficiencies and problems that the traditional property management process in Malaysia is currently facing but also structuring a path towards having the advanced digital twin technology introduced to the given field. In general, the study examined both residential and commercial properties, including office buildings and high-rise apartments. A mixed methodology is used in the study, which includes quantitative data from 100 tenants and qualitative interviews with 50 property managers regarding the cost reduction, tenant satisfaction, and operational efficiency of digital twins. While quantitative data was subjected to descriptive and inferential statistical methods using SPSS as the preferred statistical package, qualitative data was subjected to thematic analysis. The results are maintenance expenses have decreased by 30%, tenant complaints have decreased by 25%, and operating expenses have decreased by 20%. These findings also highlight issues with key data integration, including scalability of digital twin applications, data security issues, and interoperability between legacy systems and digital twins. Despite the fact that the technology has many advantages, the study makes it evident that more research is required to fully examine cost-benefit analysis over an extended period of time and to determine whether the technology can scale across various property types. The results offer valuable perspectives for policymakers, property managers, and individuals seeking to incorporate these technologies into real estate management

Assessment of Residents’ Socioeconomic Characteristics and their Pattern of Residential Mobility in Osogbo, Nigeria

This study focuses on Residents’ Socioeconomic Characteristics and the Pattern of Residential Mobility in Osogbo, Nigeria. Using both primary and secondary data. Primary data obtained from households in Osogbo and Olorunda Local Government Areas LGAs. Information obtained from INEC showed that there were 26 electoral wards in the study area. The wards were classified into core, transition, and suburban zones. A stratified random sampling technique was employed to select 9 electoral wards that were sampled. Through Google Earth, 10027 buildings were identified in the study area. In the core (1201 and 2558), transition (4434 and 1063) and suburb (443 and 328). Five per cent (5%) of the identified buildings were sampled. Thus, one out of every 20 buildings was selected using the systematic random sampling technique. Adopted this procedure, a questionnaire was administered to four hundred and ninety-nine (499) households in the study area. Secondary data obtained were the maps of the study area. Data were analyzed using binomial logistic regression and factor analysis. Findings show that most residents (87.1%) have moved at least once within Osogbo. While 12.9% of the sampled population have not moved. 7%, 4.9% and 1% of this are from the core, transition and suburban zones of Osogbo respectively. It further shows that residential movement within each residential zone is apparent. 35.9%, 34.9% and 2.4% of the residents moved or relocated within the core, transition and suburban residential zones of Osogbo, respectively. Major movement (19.2%) across the residential zones occurs from the core zone to the transition zone. Another notable residential movement is from the core to the suburban, representing 3.2%. The study concluded that special consideration must be given to the socioeconomic characteristics and the pattern of residential mobility of residents, overall housing quality, neighbourhood conditions and attributes, among others, which varied along the different residential areas of Osogbo