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This study aims to advance networking-based, construction-related business management (BM) knowledge, concepts and practices. The focus is on the supply side and therein networking between three or more companies on an equal, legal, managerial and organisational basis.

The literature reviewing process has resulted in the identification of 79 construction-related BM concepts published between the years 1990 and 2017. In this paper, the focused review reveals the degrees to which the authors have designed their BM concepts along the networking dimension.

Indeed, 33 (42 per cent) construction-related BM concepts have been designed along the networking dimension. There are 7 (9 per cent) high-degree, 11 (14 per cent) medium-degree and 15 (19 per cent) low-degree BM concepts. The high-degree ones include Bennett’s (2000) tapestry, Hobday’s (2000) project-based organisation, Cheng and Li’s (2002) partnering model, Love et al.’s (2002) long-term alliance, Kiiras and Huovinen’s (2004) virtual PM company, Helander and Möller’s (2007) network resources as well as Wikström et al.’s (2010) business networks.

Aligning with Penrose (1995), networking-based BM may imply a paradigm shift vis-à-vis managing in construction markets, i.e. it is envisioned that many researchers replace a firm with a business network as a unit of theorising.

It seems that the seven high-degree BM concepts enable firms to manage businesses with similar contexts embedded within construction markets in networking-based, viable ways.

There is very little applied theoretical knowledge about networking as part of construction-related BM. This exploratory, focused review may trigger future BM research along the networking dimension.

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.

This paper examines the relationship between environmental uncertainty and tax avoidance at the firm level. We posit that managers faced with more uncertain environments are likely to engage in more tax avoidance activities. We find a significant and negative relationship between environmental uncertainty and effective tax rates, and our results persist through a battery of robust checks. We further find that managerial ability mitigates the above relationship. Moreover, we find that small, highly leveraged, and innovative firms operating in uncertain environments engage in more tax avoidance.

The model and existing practice of the construction supply chain (CSC) in the United Kingdom (UK) and Australia was presented in this chapter. The policies and reports that support the practice of the CSC were examined in both countries. It was discovered from the review of literature that the UK has a more detailed report targeted at improving the CSC than Australia. However, both countries have a common factor affecting their CSC which originates from fragmentation experienced within their supply chain. Construction stakeholders in the UK and Australia believe that collaboration and integration are vital components for improving performance. The majority of the contractors in both countries embrace collaborative working for the sole purpose of risk sharing, access to innovation and response to market efficiency. However, most of the models developed for managing the CSC in the UK are built around building information modelling (BIM). Also, the reviewed studies show that supply chain management practice will be effective following the following principle: shared objectives, trust, reduction in a blame culture, joint working, enhanced communication and information-sharing. Finally, the UK has a more established framework and more CSC models compared to Australia.

Acquisitions are complex and ambiguous events fraught with information asymmetries emphasizing market failure before an acquisition or organizational failure during integration. While often treated in isolation, market and organization failure are intertwined in acquisitions as integration planning starts before a deal is closed. Effective integration begins with a deep understanding of the target to be able to share assets and knowledge. However, acquiring firms currently have limited solutions to address information asymmetries. Most remedies primarily aim at market failure using due diligence and external advisors, leaving information asymmetry due to organizational failure primarily unattended. The authors develop a typology that leverages informal and formal social ties to address information asymmetries across the acquisition process that jointly considers market and organizational failure. The typology of this study combines existing research to develop how social ties with stakeholders influence acquisitions and can increase their success.

This study aims to obtain empirical evidence and analyzes factors that are affecting earnings response coefficient (ERC). Manufacturing companies are used in this research, which are listed on the Indonesian Stock Exchange from 2016 to 2018. This study used panel data consisting of 114 firm years data. This research is using multiple regression method to examine the effect of independent variable to the dependent variable ERC. The result of this study shows that income smoothing (IS) and systematic risk (SR) have an effect on ERC; while IS, SR, and Firm Growth have an effect on Earnings Announcement; meanwhile, earnings persistence, audit quality, firm size, and leverage have no effect on Earnings Announcement. Implication of the research indicates that investors assess earnings quality of the company for their investment decision. These findings contribute to market reaction on earnings announcement and market-based accounting researches.

This chapter introduces Marx's theory of the determination of profit rates. It contrasts this theory with what happened in the late nineteenth century to British profit rates with a detailed statistical account. It identifies missing features in the standard presentation and contrasts these with the overaccumulation hypothesis that he presents elsewhere. A formal mathematical model using the overaccumulation hypothesis is then given and tested against modern empirical data.

The introductory chapter includes how to design-in good practices in theory, data collection procedures, analysis, and interpretations to avoid these bad practices. Given that bad practices in research are ingrained in the career training of scholars in sub-disciplines of business/management (e.g., through reading articles exhibiting bad practices usually without discussions of the severe weaknesses in these studies and by research courses stressing the use of regression analysis and structural equation modeling), this editorial is likely to have little impact. However, scholars and executives supporting good practices should not lose hope. The relevant literature includes a few brilliant contributions that can serve as beacons for eliminating the current pervasive bad practices and for performing highly competent research.

This chapter elaborates on the usefulness of embracing complexity theory, modeling outcomes rather than directionality, and modeling complex rather than simple outcomes in strategic management. Complexity theory includes the tenet that most antecedent conditions are neither sufficient nor necessary for the occurrence of a specific outcome. Identifying a firm by individual antecedents (i.e., noninnovative vs. highly innovative, small vs. large size in sales or number of employees, or serving local vs. international markets) provides shallow information in modeling specific outcomes (e.g., high sales growth or high profitability) – even if directional analyses (e.g., regression analysis, including structural equation modeling) indicate that the independent (main) effects of the individual antecedents relate to outcomes directionally – because firm (case) anomalies almost always occur to main effects. Examples: a number of highly innovative firms have low sales while others have high sales and a number of noninnovative firms have low sales while others have high sales. Breaking-away from the current dominant logic of directionality testing – null hypothesis significance testing (NHST) – to embrace somewhat precise outcome testing (SPOT) is necessary for extracting highly useful information about the causes of anomalies – associations opposite to expected and “statistically significant” main effects. The study of anomalies extends to identifying the occurrences of four-corner strategy outcomes: firms doing well in favorable circumstances, firms doing badly in favorable circumstances, firms doing well in unfavorable circumstances, and firms doing badly in unfavorable circumstances. Models of four-corner strategy outcomes advance strategic management beyond the current dominant logic of directional modeling of single outcomes.