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Literature suggests that there are sets of common variables that are capable of explaining organisational performance differentials. These variables are used to examine performance variance and its contribution to organisation profitability. Therefore, the purpose of this paper is to examine the determinants of large construction organisations’ performance in South Africa using a partial least squares path analytic method.

This study examines the interrelationship between a number of constructs, namely, organisational characteristics, resources/capabilities, competitive strategies, business environment and performance, using a questionnaire survey to obtain data from 72 large construction organisations in South Africa. Using a path analytic approach, the paper examines the relationship between the constructs discussed in the study.

The findings from the analysis of the data show that organisational characteristics do indeed influence the performance of organisations, and that the business environment is capable of moderating the relationship between competitive strategies and performance. The results, however, indicate that organisations that combine sustained organisational characteristics and strategy tend to experience high performance over those that do not.

The study findings have implications for management practice, as it could help managers of construction organisations to acknowledge the influence of organisational characteristics, unique resources/capabilities, competitive strategies and business environment as sources of competitive advantage. The study contributes to the current debate on the causes of performance differentials among large construction organisations.

The construction industry is frequently scrutinised by the public for a variety of issues, including waste, inefficiency, narrow profit margins, scheduling setbacks, budget overruns, quality concerns, trust deficits, transparency issues, coordination challenges, communication issues and fraud. The purpose of this paper is to assess the effect of blockchain technology adoption on the construction supply chain.

This study used a quantitative research approach through a questionnaire survey that was conducted among professionals in the Nigerian construction industry using the snowball sampling method, which resulted in a selection of 155 respondents. The collected data were analysed using partial least squares structural equation modelling, enabling a thorough assessment of the proposed relationships and offering valuable insights specific to the construction industry.

The study’s findings validated the conceptual framework established. The results indicated that implementing blockchain across all stages of the construction supply chain has the potential to improve the construction process. The study also revealed that blockchain technology will significantly affect the construction supply chain in a positive manner.

This research was carried out in the South-western region which is one of the six geo-political zones in Nigeria using a cross-sectional survey method. The study holds implications not only for local construction practices but will also contribute to the broader discourse on national construction sector challenges and possible solutions.

The findings of this study will be immensely beneficial to both professionals, practitioners and stakeholders in the Nigerian construction industry in learning about the potential of blockchain technology application in improving the construction supply chain.

The study in this paper constructed and evaluated a conceptual framework by exploring the connections between the variables. The results have significant implications for the construction sector, as they provide avenues for enhancing the construction process and the overall supply chain. These findings are valuable for researchers examining the potential effects of blockchain technology on the construction supply chain.

This study aims to explore the relationship between three primary constructs: leadership styles, job satisfaction and organizational commitment among private-practice quantity surveyors in the Nigerian construction industry.

A questionnaire survey of 127 quantity surveying consultancy firms in Abuja was conducted using a quantitative research approach. A total of 76 acceptable questionnaires were returned from a total of 127 that were distributed, giving a response rate of approximately 60%. The data were analyzed using partial least square structural equation modelling.

Results showed a positive indirect link between leadership styles and organizational commitments, with job satisfaction acting as a partial mediator. It was also found through importance–performance map analysis, which is crucial for prioritizing managerial actions, that an employee’s commitment to a task is strongly influenced by that person’s level of job satisfaction.

The study is quantitative and cross-sectional in nature, collecting information from a single source within an organization. A longitudinal strategy and a mixed methods approach should be used in future research.

Superiors/principal partners should make an effort to demonstrate a comprehensive understanding of leadership styles that is capable of enhancing job satisfaction and creating pleasant interaction in the work environment to increase the commitment of employees working in quantity surveying consultancy businesses.

As far as the author is aware, this study is one of the few to examine the impact of job satisfaction as a mediator between organizational commitments and leadership styles in the Nigerian construction industry. Furthermore, the study provides the basis for further discussion of the concepts offered in the paper.

The construction industry faces public criticism for issues like wastefulness, inefficiency, slim profits, scheduling setbacks, budget overruns, quality concerns, trust deficits, transparency, coordination, communication and fraud. This paper aims to assess the nexus between barriers and drivers for adopting blockchain in construction and its impact on construction lifecycle.

A quantitative research approach was used to collect data using a well-structured questionnaire survey. The survey, which used snowball sampling, included 155 Nigerian construction experts that included architects, builders, quantity surveyors and engineers in the built environment. The data were analysed using partial least squares structural equation modelling (PLS-SEM), which allowed for a thorough evaluation of the proposed relationships as well as industry-specific insights.

The study's findings validate the conceptual framework established. The results indicate that implementing blockchain across all stages of construction projects has the potential to improve the construction process by 88.2% through its drivers. However, there were no significant relationships found between the barriers to adopting blockchain and the potential application areas in the construction lifecycle.

This research was carried out in the South-western which is one of the six geo-political zones/regions in Nigeria, using a cross-sectional survey method. The study did not investigate the interdependence of the identified categories of drivers and barriers, limiting a comprehensive understanding of the complex dynamics and interactions influencing blockchain adoption in construction. The study is expected to stimulate further exploration and generate new insights on how blockchain technology (BT) can influence various stages of the construction lifecycle.

The findings will be immensely beneficial to both professionals and practitioners in the Nigerian construction industry in learning about the potential of BT application in improving the construction lifecycle.

This paper developed and assessed a conceptual framework by investigating the interrelationships between the constructs. The findings have important implications for the construction industry, as they offer opportunities to improve the construction process and overall lifecycle. The findings are useful for researchers interested in the potential impact of BT on the construction lifecycle and its wider implications.

The purpose of this paper is to examine the influence of social media adoption on the performance of construction small and medium-sized enterprises (SMEs).

Construction SMEs owners and managers in Nigeria were surveyed using questionnaires to gather data. Partial least square structural equation modeling (PLS-SEM) was employed to assess measurement reliability and validity, as well as the hypothesized paths provided in the conceptual model that formed part of the final conclusions.

The empirical finding showed that social media usage increased knowledge accessibility, reduced costs and improved customer relations and service for organizations. Overall, social media adoption was significantly and positively related to SMEs business performance. Also, the paper revealed that learning capability mediates the relationship between social media and SMEs performance.

Data for the study came from only one industry and one related line of business; thus, including more companies from different sectors or industries could be more interesting. The study's findings contributed to the growing body of knowledge about the impact of social media on the efficiency of businesses. Small and medium-sized businesses also need to understand and recognize the impact of social media on the organization's performance in order to achieve a long-term competitive edge from the adoption of social media.

According to the findings, small construction firms can benefit from marketing the brands through social media channels and improved learning capability. In terms of accessibility, cost savings and improved relationships with customers, research shows that social media promotion can be beneficial to businesses. A study like this has the potential to show how social media can help striving small businesses interact cost-effectively with customers all over the world, opening new doors for sales and continuous improvement.

The relationship between SME performance in Nigeria and the use of social media has received very little attention despite social media's promising potentials, particularly for small businesses. The authors hoped that this study will fill a gap in the authors' understanding of how social media affects the performance of small and medium-sized businesses (SMEs) in the construction industry.

The purpose of this study is to assess the barriers to the implementation of blockchain technology in construction supply chain management in Nigeria.

This study employed a quantitative research approach through a questionnaire survey that was conducted among professionals in the Nigerian construction industry using the snowball sampling method, which resulted in a selection of 155 respondents. The collected data were analysed using descriptive and exploratory factor analysis (EFA), while Cronbach's alpha was used to assess the reliability.

The analysis revealed that all barriers ranked above the average mean item score. It also revealed that all professionals have a convergent opinion on the barriers. EFA was used in clustering the identified barriers into two categories: technological and socio-political barrier.

This research was carried out in the Southwestern region which is one of the six geo-political zones in Nigeria using a cross-sectional survey method.

The findings provide valuable insights into the barriers to the implementation of blockchain in supply chain management for professionals and practitioners in the Nigerian construction industry.

The research categorised the barriers into technological and social-political barrier and identified that lack of digitalisation is the major barrier to the implementation of blockchain technology in construction supply chain.

Many construction businesses are currently building and keeping social media pages for their enterprises to be visible to the public to improve their social interaction, promote business interest, build trust and relationships with their targeted audience on social media. The purpose of this study is to examine the impact of social mediausage on performance of construction businesses (CBs) in Abuja, Nigeria.

This study used a quantitative research approach by identifying constructs that reveal three aspects of organisation’s physiognomies that impact the process of espousing, implementing and using technological innovations in conducting businesses. Well-structured questionnaire was used to obtain data from 113 purposively sampled building materials’ merchant operating in Dei-Dei Market, Abuja, Nigeria. This study used partial least squares structural equation modelling technique to establish the relationship among the constructs.

The results of this study indicated that technology has significant relationship with social media adoption, whereas social media adoption has a very strong positive impact on organisation’s performance (P < 0.001) with respect to improved customer relations and services and enhanced information accessibility.

This study has implications for CBs that wish to adopt social media to promote their businesses by presenting to them the opportunity to understand the impact of technology, environment and organisational potential in improving business performance. This study is cross-sectional in nature, and this calls for caution in interpreting the results.

This paper developed and tested a conceptual framework presented to understand the interrelationships amongst the constructs, which would be of great significance to business owners in developing their social interaction and promote business interest via social media. The outcome of this research is beneficial to researchers to further study how the different social media tools could help in influencing business decisions.

The purpose of this paper is to explore the mediating effect of learning capacity in the relationship between the social media usage by the construction of small- and medium-sized enterprises (SMEs) and their business performance in Nigeria.

A quantitative survey technique was used to collect data from the owner/manager of construction SMEs in Nigeria. The partial least square structural equation modeling was used in the assessment of the measurement model and structural model to assess the validity and reliability of the measures and to evaluate the hypotheses proposed in the conceptual model.

Empirical findings indicated a significant positive relationship between learning capacity and performance of SMEs. Similarly, the use of social media is significantly and positively associated to the business performance of SMEs. It has also been shown that learning capacity is a mediator of the relationship between social media and SME performance.

The data for the study is are all from a single industry and a related line of business, so it could be more interesting to include more companies across sectors or industries. The finding contributes to the ongoing debate on the effect of social media on business performance. It also defined the need for the owner/manager of SMEs to understand and appreciate the effect of social media through the organization's learning potential to gain a sustainable competitive advantage.

There are a number of theoretical and practical implications for academics and practitioners who are interested in further studies of organizational social media. The research presents a quantitative study on the effect of social media adoption on the organizational performance of the construction industry. This study confirms the mediating role of learning capability in the relationship between the use of social media and performance of SMEs operating in the construction industry.

This study empirically examined the relationship between social media adoption and the SMEs learning capability and business performance by evaluating a hypothesized conceptual framework to establish the relationships.

The study aims to identify and examine the construction organisational environments and its dimensions that have an impact on the performance of contracting companies in South Africa.

The study reports the result of quantitative research that obtained data from 72 construction organisations registered with the South African construction industry development board via a questionnaire survey. Descriptive statistics, non-parametric and exploratory principal component analysis were used to summarise forms of correlations among observed variables and to reduce a large number of observed variables to a smaller number of factors that provide an operational definition for the underlying dimension.

This study identified six exogenous and three endogenous environmental factors that have a varying degree of impact on construction organisation performance. Four dimensions of the environment were also examined, and environmental complexity has the highest variance explained which implies that the complexity of the construction business environment significantly influences the performance of construction firms.

This paper studies the environment of the South African construction industry using cross-sectional data in exploratory research. A confirmatory study should be conducted using a longitudinal panel design with a larger sample in similar future research.

The study offers practical implications to construction organisation owners operating in the South African construction industry to understand the need to acquire market and environmental data and process them in a way that will reduce its uncertainty when making strategic decisions.

This study contributes to the current discourse on organisations’ business environments to better understand their influences on organisational performance.

Construction process is complex and traditionally fragmented; thus, it is almost impossible to have a project completed without changes to the original plan or the construction process. The purpose of this study is to identify and examine the causes of variation orders, ascertain their effects and establish the cost and time performance implication as a result of variation orders.

This study obtained information from 90 construction stakeholders on 30 completed educational building projects to ascertain the causes and effects of variation orders on project delivery using questionnaire survey. In addition to this, a pro forma document was designed to obtain the project characteristics, cost and time data from these 30 completed educational building projects. Factor analysis was used to categorise the causes of variation orders, while severity index was used to examine their effects on project delivery. The hypothesised statement was tested using paired t-statistics to examine whether a statistically significant difference existed between variation orders, cost and time performance of the projects.

The study identified 13 main factors as causes of variation orders and the results revealed that the most frequent effects of variations were increase in construction costs, time, client dissatisfaction, increase construction project rework and demolition and project abandonment. The results also showed that variation orders had significant effects on both cost and scheduled performance of the educational building projects with average cost and time escalation of 33.95 and 29.45 per cent of the original project cost and time, respectively, for the entire projects studied, while average cost implication of variation orders is 23.79 per cent.

The findings in this study will be of assistance to government agencies and management of public works in higher institutions of learning in managing variations in construction projects. The study will also add to the current literature on the impact of variation orders on educational building projects in developing countries. Finally, it will create the much-needed awareness on the severity and implication of change or variation orders on project delivery.

The study identified and examined the causes of variation orders, ascertained their effects and established the cost and time effects of the causes of variation order on project performance. This will assist project initiators, contractors, consultants and other stakeholders to fully appreciate and understand the significant effects of variation orders on project performance.