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This study aimed to address a gap in subcontractor management by focusing on previously unexplored complexities surrounding subcontractor management in developing countries. While past studies concentrated on selection and relationships, this study delved into how effective subcontractor management impacts project success.

This study used the Bayesian Network analysis approach, through a meticulously developed questionnaire survey refined through a piloting stage involving experienced industry professionals. The survey was ultimately distributed among participants based in Accra, Ghana, resulting in a response rate of approximately 63%.

The research identified diverse components contributing to subcontractor disruptions, highlighted the necessity of a clear regulatory framework, emphasized the impact of financial and leadership assessments on performance, and underscored the crucial role of main contractors in Integrated Project and Labour Cost Management with Subcontractor Oversight and Coordination.

Previous studies have not considered the challenges subcontractors face in projects. This investigation bridges this gap from multiple perspectives, using Bayesian network analysis to enhance subcontractor management, thereby contributing to the successful completion of construction projects.

Due to the uniqueness of individual construction projects, identifying the dominant risk factors is needed for risk mitigation in ongoing and future projects. This study aims to identify the dominant construction supply chain risk (CSCR) factors, based on studies conducted between 2002 and 2022.

The study adopts the preferred reporting items for systematic reviews and meta-analysis (PRISMA) procedure to identify, screen and select relevant articles in order to provide a bibliography and annotation of the prevalent risks in the supply chains. A descriptive analysis of the findings then follows.

The study’s findings have highlighted the three most prevalent risks in the construction supply chain (poor communication across project teams, changes in foreign currency rate, unfavorable climate conditions) as reported in literature, that project teams need to pay closer attention to and take proactive steps to mitigate.

Due to limitations imposed by the chosen research methodology, tools, time frame and article availability, the study was unable to examine all CSCR-related papers.

The results will serve as a useful roadmap for risk/supply chain managers in the construction industry to take strategically proactive steps towards allocating resources for CSCR mitigation efforts.

Context-specific research on the impact of social and cultural risks on the construction supply chain would be beneficial, due to emerging social network risk factors and the complex socio-cultural settings.

There is presently no study that has reviewed extant studies to identify and compile the dominant risk factors (DRFs) associated with the supply chain of construction projects for ranking in the supply chain risk management process.

Megaproject supply chains involve multiple layers of stakeholders, leading to complex relationships and risks. The role of social interactions within these networks is unexplored. Therefore, an analysis of construction supply chain risk management from the perspective of social networks is essential to identify related stakeholders, their relationships and the social network risk factors.

About 65 risk factors, identified from literature and interviews, informed the development of a questionnaire for the study. Online questionnaires administered in Ghana and South Africa produced 120 valid responses. Feedback from the responses was ranked and assessed to determine the overall social network risk levels using the Normalised Mean and Fuzzy synthesis analysis methods.

About 24 risk factors were identified and classified into six groups: Client/Consultant-related, Community-related, Government-related, Industry Perception-related, Supplier-related and Stakeholder Opportunism. The top five social network risks identified include bribery, supplier monopoly, incomplete design teams, poor communication and lack of collaboration.

The study provides detailed evaluations of social network risks in Africa, and the findings will help in developing strategies to mitigate supply chain disruptions caused by these challenges.

This study contributes to the literature on supply chain risk management by offering context-specific insights into the social network perspective of megaprojects in Africa, which differs from those in developed countries.

Effective internal control over financial reporting (ICFR) should either prevent or enable correction of any material misstatement in a firm’s financial statements. Independent auditors, guided by professional standards, prepare an ICFR audit report, which provides a gauge by which the public can evaluate the reliability of a firm’s financial information. A firm manager may be tempted to misstate financial statements if he/she perceives a substantial reward for doing so. This study examines whether managers and firms are rewarded for misstating their financial statements in situations where there are incentives to do so, specifically, when an industry-leading peer is fraudulently inflating its reported earnings. The authors test to see if managers experience an increase in compensation as a result of misstatement. The authors also test to see if their firms benefit from misstating via changes to their cost of capital. Results suggest that neither managers nor their firms benefit from managing earnings by misstating financial statements. These findings are important, because a manager who ex ante understands that misstating will not lead to benefits personally or his/her firm is less likely to misstate in the first place.

Colossal information is available in cyberspace from a variety of sources such as blogs, reviews, posts and feedback. The mentioned sources have helped in improving various business processes from product development to stock market development. This paper aims to transform this wealth of information in the online medium to economic wealth. Earlier approaches to investment decision-making are dominated by the analyst's recommendations. However, their credibility has been questioned for herding behavior, conflict of interest and favoring underwriter's firms. This study assumes that members of the online crowd who have been reliable, profitable and knowledgeable in the recent past will continue to be so soon.

The authors identify credible members as experts using multi-criteria decision-making tools. In this work, an alternative actionable investment strategy is proposed and demonstrated through a mock-up. The experimental prototype is divided into two phases: expert selection and investment.

The created portfolio is comparable and even profitable than several major global stock indices.

This work aims to benefit individual investors, investment managers and market onlookers.

This paper takes into account factors: the accuracy and trustworthiness of the sources of stock market recommendations. Earlier work in the area has focused solely intelligence of the analyst for the stock recommendation. To the best of the authors’ knowledge, this is the first time that the combined intelligence of the virtual investment communities has been considered to make stock market recommendations.

Empirical researchers should recognize that opening and closing prices are not simple reflections of underlying fundamental values, as studies of stock price behavior have documented a U‐shaped intra‐day volatility pattern that is a manifestation of noise. While implicit transaction costs and the tactical trading of informed participants are contributing factors, they do not provide a sufficient explanation. The purpose of this paper is to focus on an additional factor – price discovery and present a formulation which allows investors with divergent expectations to respond rationally to each other's valuations, and which implies elevated volatility even when information is common knowledge.

This is a conceptual paper with empirical implications for the dynamic process of price formation in an equity market. The work is motivated by the well‐documented finding that intra‐day stock prices are excessively volatile, especially at market openings and closings. The paper's theoretical construct shows that the volality accentuation can be attributed to the dynamic process of price discovery.

The paper's chief finding is that price discovery is a protracted, path‐dependent process in an environment characterized by divergent expectations and adaptive valuations. The protracted, path‐dependent process of price discovery can account for the observed elevation of intra‐day price volatility.

This is an original research paper. The formulation is a novel and innovative treatement of a divergent expectations, adaptive valuations paradigm.