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The aim of the paper is to evaluate the microbiological and physico‐chemical characteristics of fermented pounded yam, a unique and popular food of the Igbominas of Nigeria.

Fresh pounded yam was prepared in the laboratory by a modification of the traditional method, and then fermented for varying periods of time (0‐96hrs), also essentially by the traditional method. Analysis was carried out on the products following documented and established procedures.

Data obtained indicated noticeable increases in the populations of all the groups of microorganisms investigated with increases in fermentation time, except coliforms which declined in population after 24 hours. Heating of the samples after each fermentation interval resulted in significant reductions in microbial populations such that coliforms could not even be detected after 24 hours of fermentation. Lactic acid production, an indication of flavour development, and pH drop were highest at 48 hours of fermentation. The samples also became softer with increases in fermentation period. The heated samples were considered safe microbiologically, since they contained neither coliforms nor faecal coliforms.

The consumption of fermented pounded yam is encouraged since it is safe microbiologically and develops a desired flavour, while further research should be carried out on the nutritional benefits.

The findings here suggested that adequate heating after fermentation is necessary to eliminate any potential microbial contamination, and for full flavour development.

The results of this research contribute to the knowledge of fermented foods, especially those that are indigenous to Nigeria and West Africa.

The challenges confronting the Nigerian construction industry which led to the adoption of supply chain management (SCM) practice were evaluated in this chapter. It was discovered that the Nigerian construction industry is confronted with fragmentation and poor information management. The stakeholders within the Nigerian construction industry proposed the adoption of SCM to overcome the fragmentation and other shenanigans facing the industry. This chapter revealed that construction supply chain (CSC) practices within the Nigerian construction industry focus on waste elimination by adopting the lean concept. The focus on the lean concept could be attributed to the numerous research related to lean or the enormous waste emanating from the Nigerian construction industry. Regardless of the emphasis on lean, the Nigerian CSC is still confronted with fragmentation and heavy waste generation. Thus, this chapter proposed the adoption of principles and technologies driven by the fourth industrial revolution (4IR) is a paradigm shift for the management of CSC in the country. It was discovered in this chapter that Nigerian construction supply stakeholders had not embraced the technologies and principles of the 4IR. The failure to adopt the technologies driven by the 4IR is attributed to the absence of a CSC model that depicts the management of CSC in alignment with the 4IR. This chapter called for developing a SCM model for the Nigerian construction industry in tandem with the principles and technologies of the 4IR.

This paper aims to investigate the application of lean construction (LC) techniques in reducing accidents in construction projects.

A quantitative approach was used to collect the required data using a questionnaire survey and descriptive analysis was used to analyse the collected data. The LC techniques that were investigated in this paper are related to the tools of the last planner system (LPS), increased visualisation (IV), 5S, error-proofing, daily huddle meetings (DHMs), first-run studies (FRS), continuous improvement (Kaizen) and accident investigation (5Whys).

The overall results indicated that LC techniques are poorly implemented in construction projects in the Gaza Strip. The top three LC tools used to reduce the causes of accidents in the Gaza construction projects were 5Whys, 5S and LPS, while the highest three LC techniques applied to reduce the causes of accidents that were applicable were cleaning the workplace and removing materials and machines that are not required; conducting accident investigation and root cause analysis programmes; and using safety signs and labels on site.

There is a lack of information and published studies regarding the links between LC and safety, especially in the Middle East. This paper is limited to the perceptions and geographical boundaries; therefore, it cannot be generalised. However, it could form the basis for useful comparison in the future. Triangulation research method could also be used in future research to minimise the bias and validate the conclusions.

The findings of this paper will stress professionals and construction companies in Gaza to reconsider their behaviour towards using LC techniques. The findings of this paper will aid them to shift their attention and resources towards including LC techniques in their plans to reduce the causes of accidents on construction sites.

The findings of this paper will encourage professionals and construction companies in Gaza to reconsider their behaviour towards using LC techniques. The findings will also aid them to shift their attention and resources towards including LC techniques in their plans to reduce and/or avoid the causes of accidents on construction.

Because of the lack of published works that are specific to the Middle East, the authors believe that the originality lies in the paper’s serious attempt to explore the application level of the LC concept to safety in this part of the world. This paper contributes to a better understanding of the applicability of LC techniques in terms of accidents reduction. Findings from this paper provide a clear picture of the current status of using LC techniques to reduce accidents in the Gazan construction projects which drive them to investigate the main barriers and try to overcome them.

The purpose of this paper is to implement a genetic algorithmic geared toward building an optimized investment portfolio exploring data set from stocks of firms listed on the Nigerian exchange market. To provide a research-driven guide toward portfolio business assessment and implementation for optimal risk-return.

The approach was to formulate the portfolio selection problem as a mathematical programming problem to optimize returns of portfolio; calculated by a Sharpe ratio. A genetic algorithm (GA) is then applied to solve the formulated model. The GA lead to an optimized portfolio, suggesting an effective asset allocation to achieve the optimized returns.

The approach enables an investor to take a calculated risk in selecting and investing in an investment portfolio best minimizes the risks and maximizes returns. The investor can make a sound investment decision based on expected returns suggested from the optimal portfolio.

The data used for the GA model building and implementation GA was limited to stock market prices. Thus, portfolio investment that which to combines another capital market instrument was used.

Investment managers can implement this GA method to solve the usual bottleneck in selecting or determining which stock to advise potential investors to invest in, and also advise on which capital sharing ratio to reduce risk and attain optimal portfolio-mix targeted at achieving an optimal return on investment.

The value proposition of this paper is due to its exhaustiveness in considering the very important measures in the selection of an optimal portfolio such as risk, liquidity ratio, returns, diversification and asset allocation.

Construction management is enriched in many ways by direct and indirect support of lean construction concept. The objectives of this study are to assess the current level of awareness about lean construction practice, to identify the potential benefits and challenges to implement lean construction in the Bangladeshi construction industry and to prioritize them.

A comprehensive literature review has been done to design a questionnaire for the survey. The final questionnaire has been designed with 27 lean tools, 41 challenges, and seven benefits of implementing lean principles in the construction industry. A total of 164 valid responses have been collected from Bangladeshi construction practitioners involved in different types of construction organizations. The result has been analyzed by Relative Important Index (RII).

The findings revealed 41 challenges to implement lean construction with seven benefits in the Bangladeshi construction industry. The result shows that an appreciable number of respondent familiar with the techniques of lean construction but they don't practice. The findings have also pointed out that the lean construction approach adds a positive impact especially on quality, safety, cost, productivity, and environmental level. The top-ranked challenges to implementing lean construction are: lack of awareness and skill, poor management, traditional culture and attitude of employees, inadequate resources and equipment and nonuse of modern techniques and technologies.

This study reveals real scenario of lean construction in Bangladesh. It contributes to the body of knowledge, as it uncovers for the first time the awareness level, benefits and challenges to implement lean construction with reference to the social, economic and cultural context of Bangladesh. Exploring the findings, the study could help the stakeholders, construction firms, academician, researchers and government to focus their effort and resources on the significantly appropriate issues. Again, the study may be beneficial to developing countries especially in South Asia which share the same socio-economic status with Bangladesh.

Small and medium contractors (SMCs) play a significant role in socioeconomic development. Their strong links with other sectors of the economy have a multiplier effect on any country’s growth. However, the construction business, especially for SMCs, is not an easy business as several roadblocks affect their sustenance. This study aims to examine the factors affecting the sustainable competency of SMCs emerging from the business environment in which the Ethiopian construction industry (CI) operates.

A literature review was conducted to identify 39 factors arising from five core sources (i.e. government policies, regulatory frameworks, industry networks, competitive bidding culture and construction technology and innovation). A questionnaire survey was conducted to gather industry stakeholders’ perceptions of the identified factors, and the results were analyzed using descriptive statistics.

Findings indicate 37 significant factors affecting sustainable competency arising from five sources, and the top factors from their respective sources were unfavorable financial policy; unfavorable economic regulatory framework; lack of trust between parties in the industry; inability of SMCs to compete with bigger construction companies; and poor linkages between CI and research and development institutions. Furthermore, factor analysis identified 12 components, and the top ones were competition and uncertainties in the supply chain; unsuitable bidding environment; and ineffective industry networks.

The findings will contribute to the body of knowledge on the factors affecting the sustainable competency of SMCs in the Ethiopian CI. They also indicate priority areas of competitiveness improvement and have implications for decision-makers.

Proper identification of the key motivating factors (or key drivers) is needed to ensure successful adaption and implementation of the lean concept for construction projects. However, there lacks a study investigating the complex interrelationships existing among the key drivers contributing to Sustainable and Successful Lean Construction (SSLC) implementation for such projects. To address this shortcoming, this study aims to uncover the main critical key drivers towards the implementation of SSLC for the very first time by capturing the complexity of this vexing problem.

In this study, a new hybrid framework is developed through the integration of Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Social Network Analysis (SNA). The novel developed framework is called the DSNA approach.

Considering the case of Malaysian construction projects, the developed DSNA gives the following major outcomes: (1) Most important critical key drivers are seen to be optimization, continuous improvement, and, improve company culture, and (2) For SSLC adoption, the critical drivers impacting other key drivers are seen to be “improve teamwork”, “reduce leadership conflict”, and “improve company culture”, thereby demanding more attention.

The outcomes of this study give insight for decisions and policymakers in the construction industry regarding critical key drivers and their complex interrelationships towards the further adoption of SSLC, promoting the sustainability paradigm within the respective sector.

This paper not only presents a list of critical drivers and the corresponding association among them towards SSLC adoption, but also proposes DSNA as a novel approach for uncovering the complex interrelationship existing in an intricate problem, improving the intricate process of decision-making.

It is no news that Chinese construction companies are highly motivated to invest in Africa in terms of infrastructure and construction. This influx from the beginning of the millennium marked a game-changer for infrastructural development in most African countries. This study, therefore, explores how the partnership between China and Africa has impacted the construction industry in Africa with a focus on Nigeria.

A quantitative approach was adapted for the study, which is descriptive in nature, and the primary participants of the study were core construction professionals within the Nigerian construction industry. Data was collected via a structured questionnaire, and multivariate statistics was used to analyse the data.

The study results revealed that the benefits accrued from Chinese participation in the African construction industry can be classified into three distinct categories: socio-economic development through construction, land transportation system development and construction industry development. The study further revealed that Chinese involvement has been most beneficial to the development of the land transportation system in Nigeria with more investment in the construction and maintenance of roads and railways.

The study will serve as a basis for making informed future decisions on Chinese participation in the Nigerian construction industry as it exposes the impacts of the relationship within the current system. The outcome of this study can be used to refocus the partnership to ensure the optimum development of the local construction industry. The government and other relevant agencies can use the findings from this study to ensure that there is sustainable growth in the local construction industry through Chinese participation.

As a crucial element of city planning, an adequately planned logistics center for agricultural products can improve the circulation efficiency of agricultural products, thereby contributing to a convenient lifestyle of urban residents. First, this study analyzed the functional zones of urban green logistics centers for agricultural products based on low-carbon idea. A method was also proposed to calculate the area of each functional zone. Moreover, this study proposed a layout planning innovation method of urban green logistics centers for agricultural products based on logistics motion line analysis and logistics intensity calculation. Lastly, this study analyzed the application processes of the layout planning methodology according to the topographical conditions of Huai’an logistics center project case in China. Results of the case study show that the construction innovation method proposed in this study is scientific, reasonable, and practical. The construction innovation method can be also used for the planning and designing of similar urban logistics centers.

The purpose of this paper is to explore the interrelationship between macroeconomic factors, firm characteristics and financial performance of quoted manufacturing firms in Nigeria. Specifically, the study investigates the effect of interest rate, inflation rate, exchange rate and the gross domestic product (GDP) growth rate, while the firm characteristics were size, leverage and liquidity. The dependent variable financial performance is measured as return on assets (ROA).

The study used the ex post facto research design. The population comprised all quoted manufacturing firms on the Nigerian Stock Exchange. The sample was restricted to companies in the consumer goods sector, selected using non-probability sampling method. The study used multiple linear regression as the method of validating the hypotheses.

The study finds no significant effect for interest rate and exchange rate, but a significant effect for inflation rate and GDP growth rate on ROA. Second, the firm characteristics showed that firm size, leverage and liquidity were significant.

The study has implications for regulators and policy makers in formulating policy decisions. In addition, managers may better understand the interplay between macroeconomic factors, firm characteristics and profitability of firms.

Few studies have addressed the interplay of macroeconomic factors and firm characteristics in determining the profitability of manufacturing firms in the country and developing countries in general.