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Although the overall impacts of innovation and innovative practices have been emphasized in recent years, the effect on the growth of firms in Nigeria have not been proven. Therefore, this study aims to investigate the effect of innovative practices on the growth of quantity surveying firms (QSFs) in Nigeria.

The study adopted the quantitative correlational research design in which a well-structured questionnaire was used to collect data from QSFs in South-West, Nigeria. The data were analyzed using descriptive statistics and multiple regression analysis to investigate the effect of innovative practices on the growth of QSFs.

The study reveals that there is a significant increase in the growth indices used for assessing QSFs, while all the innovation variables were found to be reliable. Based on the result of multiple regression analysis, the relationships were identified as follows: quantity surveying (QS) software influenced the size growth of QSFs; QS software and services affected client growth and profit growth; and all innovation practices impacted asset growth of QSFs.

Although the use of software tools has been found to negatively affect the size of QSFs and other growth indices, there is need for them to embrace innovative software applications for more quality service delivery. In addition, QSFs should formulate strategic objectives that will guide them in taking informed decisions for diversification.

The outcome of this study provides information and direction for innovation practices required to bring about the growth of QSFs.

Micro, small and medium-sized enterprises are the live wire of construction industry in developing countries. These classes of establishments are most affected by economic contraction and turmoil, thus affecting their performance and survivability. Hence, the purpose of this study is to investigate and prioritize the survival determinants of construction consulting organization during economic contraction in Nigeria using quantity surveying firms as a focal point.

The study adopted the descriptive-survey design and quantitative data were collected through questionnaire purposely administered to quantity surveying firms in the Southwestern part of Nigeria. The data obtained from 99 quantity surveying firms on survival determinants were analysed using various statistical analysis such as mean score, standard deviation, Mann–Whitney U test, Kruskal–Wallis H test, and so on. Principal component analysis was used to identify the principal components of survival determinants, while the factors were prioritized using fuzzy synthetic evaluation (FSE).

The result of the analysis reveals eight factors that significantly determines the survival of firms during the period of economic contraction. Furthermore, the eight grouped factors were prioritized accordingly namely firm's innovation and diversification, ownership structure and networking, education level and management skills, and so on.

This study investigated the survival determinants of quantity surveying firms and prioritized it with the opinions of principal partners in quantity surveying establishments. As against obtaining large survey responses from all quantity surveyors in the study area that may not have practical experience of managing firms, the limited responses received provide valid basis to broaden the horizon of professionals and other stakeholders on the key determinants for firms to survive economic turmoil.

This study contributes to the body of knowledge by providing information on prioritized factors that must be considered in an appropriate order by quantity surveying firms to survive economic contraction.