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The idea of implementing supply chain management (SCM) principles for the construction industry was embraced by construction stakeholders to enhance the sector's performance. The analysis from the literature revealed that the implementation of SCM in the construction industry enhances the industry's value in terms of cost-saving, time savings, material management, risk management and others. The construction supply chain (CSC) can be managed using the pull or push system. This chapter also discusses the origin and proliferation of SCM into the construction industry. The chapter revealed that the concept of SCM has passed through five different eras: the creation era, the use of ERP, globalisation stage, specialisation stage and electronic stage. The findings from the literature revealed that we are presently in the fourth industrial revolution (4IR) era. At this stage, the SCM witnesses the adoption of technologies and principles driven by the 4IR. This chapter also revealed that the practice of SCM in the construction industry is centred around integration, collaboration, communication and the structure of the supply chain (SC). The forms and challenges hindering the adoption of these practices were also discussed extensively in this chapter.

The versatility of customer relationship management (CRM) systems has kept these technologies popular over the years. These solutions have been integrated into organizations of all sizes, from large corporations to small- and medium-sized enterprises. Similarly, CRM systems have also found applications in all types of industries and business sectors. All this has been the driving force behind the proliferation of CRM solutions around the world. In this chapter, the author not only reflects on the impact and democratization of CRM systems on business management and marketing strategies but also explores how these technologies can determine the company's income. In particular, the author presents an experiment that analyzes the extent to which the volume of annual investment in CRM solutions can be used to predict annual net income in a sample of companies. Using time series analysis and applying the autoregressive integrated moving average modeling technique, the researcher examines a sample of 10 companies from different industries, and countries, over a 20-year period. The results show the efficiency of the predictive models developed in nine of the 10 companies analyzed. The findings of this study allow us to conclude that there seems to be an association between the investments made in CRM solutions and the income of the companies that invest in these technologies.

This chapter presented the model for the effective practice of construction supply chain management (CSCM) in the fourth industrial revolution (4IR) era. The model was developed after discovering that the failure of adopting the 4IR component has hindered the synchronisation of construction supply chain (CSC) activities. While some stakeholders are willing to manage their CSC under the 4IR era, most have no clue how to go about it. Most stakeholders are familiar with an existing practice built around collaboration, integration, supply chain structure and trust. This chapter bridges the gap by introducing organisational culture and 4IR components for modelling the CSCM in the 4IR era. The model was backed and grounded with a robust theoretical framework. The theories include social identity theory, change theory and resource-based view theory. It was discovered that the organisational culture adopted by construction stakeholders determines their willingness to embrace the 4IR component for the management of CSC. The 4IR components were divided into smart management, virtualisation and cyber-physical systems. The chapter recommended that the practice of SCM in the Nigerian construction industry should be modelled around the six constructs that were used in developing the model for this study.

The prevalent practice of construction supply chain (CSC) in developing countries with a focus on Africa was presented in this chapter. Two African countries (South Africa and Ghana) were selected due to the extensive literature on the CSC emanating from the countries. The impediment to the effective management of the CSC in the two African countries was also examined in this chapter. It was discovered that the vital inhibition to the performance of CSC in developing countries is the adoption of culture from developed countries without a proper model for ensuring its implementation in developing countries. Also, no model has incorporated the principles and technologies of the fourth industrial revolution (4IR) to manage the CSC. The failure to adopt the 4IR technologies like block chain, big data and the internet of things has prevented the proper application of CSC practices in developing countries. CSC practices like collaboration, integration, lean supply chain, information sharing, financial management and communication are the primary practice in developing countries. Finally, this chapter called for the development of a model for managing the CSC in developing countries in alignment with the principles of the 4IR.

The study this chapter reports focuses on how network theory contributes to the understanding of the internationalization process of SMEs and measures the effect of network capability on performance in international trade and has three research objectives.

The first objective of the study relates to providing new insights into the international market development activities through the application of a network perspective. The chapter reviews the international business literature to ascertain the development of thought, the research gaps, and the shortcomings. This review shows that the network perspective is a useful and popular theoretical domain that researchers can use to understand international activities, particularly of small, high technology, resource-constrained firms.

The second research objective is to gain a deeper understanding of network capability. This chapter presents a model for the impact of network capability on international performance by building on the emerging literature on the dynamic capabilities view of the firm. The model conceptualizes network capability in terms of network characteristics, network operation, and network resources. Network characteristics comprise strong and weak ties (operationalized as foreign-market entry modes), relational capability, and the level of trust between partners. Network operation focuses on network initiation, network coordination, and network learning capabilities. Network resources comprise network human-capital resources, synergy-sensitive resources (resource combinations within the network), and information sharing within the network.

The third research objective is to determine the impact of networking capability on the international performance of SMEs. The study analyzes 11 hypotheses through structural equations modeling using LISREL. The hypotheses relate to strong and weak ties, the relative strength of strong ties over weak ties, and each of the eight remaining constructs of networking capability in the study. The research conducts a cross-sectional study by using a sample of SMEs drawn from the telecommunications industry in Ireland.

The study supports the hypothesis that strong ties are more influential on international performance than weak ties. Similarly, network coordination and human-capital resources have a positive and significant association with international performance. Strong ties, weak ties, trust, network initiation, synergy-sensitive resources, relational capability, network learning, and information sharing do not have a significant association with international performance. The results of this study are strong (R2=0.63 for performance as the outcome) and provide a number of interesting insights into the relations between collaboration or networking capability and performance.

This study provides managers and policy makers with an improved understanding of the contingent effects of networks to highlight situations where networks might have limited, zero, or even negative effects on business outcomes. The study cautions against the tendency to interpret networks as universally beneficial to business development and performance outcomes.

The purpose of this chapter is to investigate the adoption and use of building information modelling (BIM) for residential real estate development in Nigeria (using Lagos as a case study), with a view to providing information towards improving BIM uptake, which could enhance sustainable housing delivery in the country. A quantitative research methodology was adopted involving the use of questionnaire survey to collect primary data. The data were obtained from private real estate developers in Lagos State. The self-administered questionnaire was distributed to all the 72 active real estate developers in the study area, and the response rate was 62.5%. The collected data were analysed using statistical tools such as frequency and percentages, mean rating and chi-square. The results revealed a low level of awareness and usage of the transformative and contemporary BIM technology (6D BIM version) by real estate developers. It was established that the 2D and 3D BIM traditional versions were the most utilised across the phases of real estate development process. It was also found that the level of BIM utilisation has a significant relationship with the age and asset base of the real estate developers. The chapter concludes by advocating increase in the asset base and organisational profile of real estate developers to enhance BIM adoption, especially, the 6D BIM, which could facilitate sustainable real estate development.