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The purpose of this study is to develop a decision-support framework that can be used by decision-makers to suspend public infrastructure projects. Additionally, the study also investigates how to select the most convenient infrastructure project for suspension.

The proposed framework includes an extensive set of factors and a novel comparison mechanism that can reveal the most convenient infrastructure project to be suspended. A comprehensible literature review and focus group discussion (FGD) sessions were conducted to identify factors that should be considered for suspension. Then, the neutrosophic analytic hierarchy process (N-AHP) method was used to determine the relative importance of the factors. Finally, the proposed comparison mechanism was demonstrated through a hypothetical case study and Technique for order of preference by similarity to ideal solution (TOPSIS) analysis.

Results showed that suspension decisions cannot be made merely based on “financial” factors. Instead, the other aspects, namely “Technical and managerial” and “Social and Environmental”, should also be taken into consideration. Second, factors related to the initial investment, cost of refinancing, cash flow, permits and approvals, insufficiency of bidders, degradation of the components, reputation, impact on stakeholders and criticality of the infrastructure were particularly elaborated as the most significant, needing the utmost attention of the decision-makers. Lastly, the results demonstrated that the proposed comparison mechanism has considerable potential to identify the most convenient infrastructure project for suspension.

Public infrastructure projects are often under pressure due to the inflationary state and economic stagnation of countries after major crises. The suspension decision for infrastructure projects necessitates comprehensible assessments to consider all consequences. Studies have widely investigated the contractual and legal aspects of project suspension in light of existing literature. However, little effort has been devoted to identifying the factors that decision-makers should consider before suspending a particular infrastructure project. Furthermore, existing literature does not investigate how to select the most convenient infrastructure project for suspension either. Thus, by developing a specific suspension framework for infrastructure projects by considering various factors, this study is the earliest attempt to examine the contract suspension mechanism of public infrastructure projects. In this respect, the study significantly contributes to the theory of contract management domain and has important managerial implications.

The purpose of this paper is to study the impact of economic factors on foreign direct investment (FDI) inflows into Asian region before and after the COVID-19 pandemic.

The study used the generalized method of moments (GMM) technique to examine the impact of economic growth, domestic investment and trade openness on FDI in the Asian region, in two periods from 1996 to 2018 and from 2019 to 2020.

In the pre-COVID-19 period, the estimated result shows that the economic growth, domestic investment, imports and exports positively impact FDI. In the post-COVID-19 period, the FDI is influenced by the strength of the economic characteristics of the region. The main findings indicate that economic growth has a positive and significant effect on FDI inflows into Asia. The findings also show that the economic resilience to attract FDI in Asia is significantly affected by economic growth and positively affected by trade openness and government responses during the pandemic.

The study suggests the Asian governments increasing the domestic investment and improving the quality of trade openness.

Project bundling is an innovative practice that groups or bundles several infrastructure projects into a single contract. While project bundling has various benefits, agencies are facing some challenges when bundling their projects, including properly assessing the feasibility (or infeasibility) of project delivery methods (PDMs) of interest. More specifically, project owners face the challenge of properly selecting between traditional and alternative PDMs for their bundled projects. Although some research efforts were devoted to providing guidelines in relation to different aspects related to project bundling, no previous study was conducted to help project owners performing PDMs-related feasibility analysis for bundled projects, which differ from normal, singly delivered projects. To fill this knowledge gap, this paper develops a decision-support tool that assists agencies in deciding whether they should select a traditional or alternative PDM (i.e. whether to go with the Design-Bid-Build (DBB) PDM or not) for their bundled projects.

An analytical methodology comprised of four main steps was followed in this paper. First, an expert survey was developed and distributed to industry experts to quantify the importance of 25 project bundling objectives. Second, principal component analysis was used to determine the weights for the different project bundling objectives. Third, a series of statistical tests was implemented to identify different feasibility tiers. Fourth, a user-friendly decision-support tool was developed, and its capabilities were demonstrated.

The results showed that six tiers exist to classify the feasibility (or infeasibility) of traditional PDMs (i.e. the DBB method) for bundled projects. The research outcomes have also reflected that the following five project bundling objectives contribute the most to making traditional PDMs (i.e. the DBB method) more feasible for bundled projects: (1) Having well-defined design features; (2) Requiring prior knowledge or experience with similar project size and scope; (3) Completing the overall project on schedule; (4) Keeping rate of expenditures within cash flow plan; and (5) Acquiring specific legislative, regulatory and jurisdictional requirements early on.

This research adds to the body of knowledge by equipping agencies and project owners with a decision-support system that helps them identify whether traditional or alternative PDMs are more appropriate for the specific objectives of their bundling program(s). By making the right PDM decision, project owners can enhance their bundling practices (especially in relation to the PDM proper selection) and ultimately the performance of their bundled projects.

When Cambodia's long civil war ended in the late 1990s, land on the former frontlines in the northwest was officially closed for resettlement. However, spontaneous resettlement occurred as land was informally claimed by demobilized soldiers, returnees from refugee camps and the landless poor. These areas were often heavily littered with the explosive remnants of war, and landmines and unexploded ordnance (UXO) wounded and killed numerous post-war settlers.

This study is based upon data collected in 2009 in three villages in Sdao commune in Battambang province. Ethnographic research methods were used to conduct the research, including participant observation, semi-structured interviews and demographic mapping.

The article illustrates how the desire to farm and the prospect of acquiring land rights drove resettlement into a hazardous place. The study demonstrates that this resettlement occurred when the Cambodian state and the international humanitarian sector failed to provide durable policy solutions for vulnerable post-war populations. An ethnographic example is provided of a woman attempting to live in precarious terrain. Her family and others expressed a need to risk occupancy in order to secure land, food and futures for their children.

These findings may assist policymakers working on the complex disasters posed by conflicts in recognizing the polyvalent and overlapping vulnerabilities of populations needing resettlement.

Cost and schedule overruns are rife in dam projects. Normative evidence espouses overruns as though they are inimical to development and prosperity aspirations of stakeholders. This study examines the causal relationship between project financing and overruns.

Causative data were extracted from completion reports of 28 major dam projects in Africa. Each of the projects was financed jointly by up to 10 international development lenders. Relationships between causes of overruns and project outcomes were analysed.

Analyses elicit indicators of remarkable correlations between finance procedures and project outcomes. Lenders’ disposition to risk attenuation was the main debacles to project success. Interests had mounted, whilst release of fund was erratic and ill-timed. Finance objectives and mechanisms were grossly inadequate for projects’ intense bifurcations. Projects had slowed or stalled because lenders’ risks attenuation processes were purposed to favour lenders’ objectives, and not projects’ interests. In addition, findings also show project owners’ own funds and the number of lenders to a single project correlate with overruns.

Findings imply commercial complexities around major projects. They also show transactions are shaped by subtle (mis)trust behaviours in project finance procedures. Thus, scholarly solutions to project performance issues should consider behavioural issues of stakeholding parties more broadly, beyond contractors and project owners. Project finance ecosystems are vulnerable to major actors’ self-interests, opportunism and predatory conducts. Borrowers would manage this by developing and improving their capacity to build resilience and trust. Evidence shows intense borrower nations in Africa have limited capacity and acuity for these.

This study contextualises megaprojects in complexity rather than cost. Its additionality is in how finance steers absolute control of project environment away from project owners and how finance administration triggers risks and overrun.

This paper explores the attractiveness of TVET in Sierra Leone, a post-conflict West African country. It aims to unpack structural factors which contribute to the low repute of TVET.

The paper uses qualitative interviews with employers, government and third sector organisations, focus group discussions with young Sierra Leoneans and analysis of key government policy documents. Thematic analysis was used to analyse the data, and the empirical analysis is grounded in Social Learning Theory of Career Decision Making and Social Cognitive Career Theory. The paper is interdisciplinary, drawing on literature from economics, psychology, political science and development studies.

The paper argues that TVET is in low repute in Sierra Leone owing to low prioritisation by the national government in terms of policy focus, budgetary allocations and provision of training facilities; the proliferation and continuation of a post-war style of TVET programmes by development partners which initially targeted ex-combatants and thus carry reputational baggage; and colonial legacies of preferences for university education and white-collar jobs.

The research contributes to the academic and policy discourse by providing new empirical insights from an under-studied country (and region), and arguably one where evidence-based policy is much needed.

Optimal clean-up procedures lie at the heart of the closeout phase of construction projects under contract law. However, due to its complexity involving multiple issues, potentially unfulfilled contractual obligations, performance claims and counter-claims, combined with consequently deteriorating stakeholder relationships, the management of closeouts is fraught with difficulties leading to suboptimal outcomes. This is particularly true where general contractor (GC) organizations do not have a claims management office (CMO) dedicated to improving such suboptimal clean-up outcomes. Thus, this study aims to develop a model by which CMOs’ may effectively manage the clean-up phase in an environment of closeout claims.

X-inefficiency theory was utilized as the theoretical lens guiding this study. The theory helps identify closeout strategies implemented by a GC, which manages completion claims through a CMO. Data were received and analyzed from a large GC, which served as the firm case study. In this case, managing the closeout completion claims was the main function of the CMO.

The average delay of closeout completion was four times greater than construction phase delays. The GC results highlighted the “economic destruction tsunami of projects,” as a root cause for these completion delays. Wrap-up activities under contract law are identified, including within the domains of statements of completion, project handover and debt settlement. Behavior strategies are also defined, including relational and contractual approaches. Moreover, a process for improving closeout claim performance is described, comprising project closeout identification, rational intra-firm behavior, closeout completion and program closeout practice.

Findings from this work can significantly contribute in X-inefficiency theory in relation to how a decrease of X-inefficiency will lead to better closeout claim performance. It also offers practical insights into how best to minimize delayed closeout completion while providing valuable lessons for stakeholders in complex infrastructure projects. Further, a model is developed that may be utilized by owners, consultancies, designers and other contractor organizations in an effort to improve closeout claim performance.

While entrepreneurship has long been heralded for its positive contributions, there is a growing recognition of its “dark side,” characterized by unproductive, unethical and destructive actions. This exploratory literature review aims to illuminate the underexplored dark side of entrepreneurship, thereby enriching the discourse on entrepreneurship’s dual nature.

This study employs a robust mixed-method approach, integrating phenomenologically detailed co-citation bibliographic coupling with detailed thematic data and code-weaving. Science mapping tools like R-Bibliometrix and VOSviewer enhance the credibility of the findings by providing a sophisticated and reproducible methodological framework.

This review defines dark entrepreneurship, its characteristics, and its complexities. We introduced the “Dark Entrepreneurship Trinity”: Ethical Complexity, Institutional Navigation and Conflict Entrepreneurialship, with Institutional Navigation as the apex theme. It elucidates how this theme influences ethical dilemmas and operational strategies in conflict zones, illustrated through a diagram depicting their complex interrelations and dynamics.

The originality of this literature review lies in its comprehensive synthesis of the dark side of entrepreneurship. This review significantly contributes to the academic discourse by delineating a clearer picture of the destructive potentials of entrepreneurship. It compiles existing research, critically addresses the gaps and suggests future pathways for empirical studies.

In repetitive projects, repetition offers more possibilities for activity scheduling at the sub-activity level. However, existing resource-constrained repetitive scheduling problem (RCRSP) models assume that there is only one sequence in performing the sub-activities of each activity, resulting in an inefficient resource allocation. This paper proposes a novel repetitive scheduling model for solving RCRSP with soft logic.

In this paper, a constraint programming model is developed to solve the RCRSP using soft logic, aiming at the possible relationship between parallel execution, orderly execution or partial parallel and partial orderly execution of different sub activities of the same activity in repetitive projects. The proposed model integrated crew assignment strategies and allowed continuous or fragmented execution.

When solving RCRSP, it is necessary to take soft logic into account. If managers only consider the fixed logic between sub-activities, they are likely to develop a delayed schedule. The practicality and effectiveness of the model were verified by a housing project based on eight different scenarios. The results showed that the constraint programming model outperformed its equivalent mathematical model in terms of solving speed and solution quality.

Available studies assume a fixed logic between sub-activities of the same activity in repetitive projects. However, there is no fixed construction sequence between sub-activities for some projects, e.g. hotel renovation projects. Therefore, this paper considers the soft logic relationship between sub-activities and investigates how to make the objective optimal without violating the resource availability constraint.