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This study aims to develop a building renovation duration prediction model incorporating both scope and non-scope factors.

The study used a questionnaire to obtain basic information relating to identified project scope factors as well as information relating to the impact of the non-scope factors on the duration of building renovation projects. The study retrieved 121 completed questionnaires from construction firms on tertiary education trust fund (TETFund) building renovation projects. Artificial neural network was then used to develop the model using 90% of the data, while mean absolute percentage error was used to validate the model using the remaining 10% of the data.

Two artificial neural network models were developed – a multilayer perceptron (MLP) and a radial basis function (RBF) model. The accuracy of the models was 86% and 80%, respectively. The developed models’ predictions were not statistically different from those of actual duration estimates with less than 20% error margin. Also, the study found that MLP models are more accurate than RBF models.

The developed models are only applicable to projects that suit the characteristics and nature of the data used to develop the models. Hence, models can only predict the duration of building renovation projects.

The developed models are expected to serve as a tool for realistic estimation of the duration of building renovation projects and thus, help construction project managers to effectively plan and manage it.

The developed models are expected to serve as a tool for realistic estimation of the duration of building renovation projects and thus, help construction project managers to effectively plan and manage it; it also helps clients to effectively benchmark projects duration and contractors to accurately estimate duration at tendering stage.

The study presents models that combine both scope and non-scope factors in predicting the duration of building renovation projects so as to ensure more realistic predictions.

To understand the challenges of building a successful business in an emerging market like Yola, Nigeria. To understand the role of micro-finance banks in doing business in Yola, Nigeria. To comprehend strategies adopted in market segmentation and sales of products or services to the customer. To apprehend strategies adopted to sustain and compete in Nigeria – both rural and urban.

Standard Microfinance Bank Limited (SMFB) was a private micro-finance bank situated at Yola, Adamawa State of Nigeria. It initially started as a community bank in 1992 to provide loans to individuals and small business owners in Adamawa. It started with the services of payment service and savings account with a limited lending capacity. It had become a full-fledged retail bank and was grown to 13 branches across Nigeria. It planned for expansion such as market development, product development and diversification by the year 2020. It had a customer base of 60,000 till the end of December 2018. Vazheparambil Mani Francis was the Chief Executive Officer (CEO) of the SMFB. The SMFB faced challenges such as operating the remote villages, lack of financial literacy among people, recovery of the loan amount, submission of false credentials and change of customer identity after loan by their customer. It was not going to be an easy task for him to operate the business of SMFB in Nigeria. However, in December 2018, Francis was facing a dilemma about the future success of SMFB business in Nigeria by looking into the challenges and complexities of business. Francis was determined to figure out the appropriate growth strategy for managing the challenges.

Undergraduate and graduate early-stage program.

Teaching notes are available for educators only.

CSS 11: Strategy.

This paper aims to evaluate Nigerian contractors’ perceptions regarding the effects of positive and negative cash flow during construction projects, with a view to establishing effective strategies for cash flow management.

A desktop-based literature review is used to develop a cross-sectional questionnaire survey which uses Likert items to elicit responses from construction professionals on: the reasons for cash flow problems; the impacts of negative and positive cash flow; and the potential solutions for improving cash flow on construction projects.

The study finds that delay in payments, difficulty in obtaining financial aid and inadequate budgetary control are the causes of cash flow problems during construction projects. Cumulatively, these issues result in project delays, reduced profit margins and in the worst scenarios, abandoned projects.

There has been limited research into the effects of positive and negative cash flows on construction projects in Nigeria and indeed, the wider geographical location of West Africa. This study addresses this observed dearth and consequently advances methods and solutions to deal with the problem of poor cash flow management in the Nigerian construction industry.