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As managing risks effectively is critical for successful projects, project managers regularly identify and prioritize the risks that apply to their projects. However, research argues that project managers struggle to identify effective risk mitigation approaches for the most critical risks, partly because they do not always have the required authority to act effectively. The authors argue that, particularly in high-risk projects, organizational support (OS) provided by senior executives to project managers can facilitate a practical approach to risk mitigation beyond traditional risk management practices.

The authors modeled the relationship between risk, organizational support and project success. Then, the authors conducted a structural equation modeling analysis on survey data obtained from 722 projects and tested for the impacts of OS practices in the presence of risk on projects' success.

Suppose done effectively, senior executives can provide more support to project managers and the teams in high-risk projects, resulting in higher project success. OS has a positive impact on project success in terms of efficiency and effectiveness. Interestingly, the positive impact of OS on success is greater than the negative impact of the risk.

The paper further describes various effective OS practices to mitigate risks and explore opportunities when faced with high-risk projects.

Whereas it is known that risk has a negative impact on project success, this paper suggests that, in addition to that, OS is in between risk and success and has an impact on this relationship (mediation). Moreover, with OS, the total negative effect of risk on effectiveness turns into a positive impact.

Recent research has proposed the position of a project owner as the individual accountable for realizing target benefits. However, there is a lack of understanding in the literature of this role – in particular, the specific responsibilities of the project owner that can enhance benefits realization and operations performance. The paper aims to discuss this issue.

The paper identifies these responsibilities in practice through two studies – a qualitative study, which includes interviews with senior executives who fund projects, and an in-depth longitudinal case study, which describes a company that continuously realizes the benefits from its projects.

The results suggest that a project owner should have 22 key responsibilities across four project phases and that an operations manager is often the most suitable candidate to fulfill this role in operations improvement projects. When performing these project responsibilities effectively, operations managers enhance benefits realization and operations improvement. Finally, the paper proposes five hypotheses for future research.

Based on agency theory, the paper increases our knowledge of the role of the project owner in practice. This new knowledge can enhance the realization of target benefits from projects and ensure a smooth transition from the project to the operations environment.

The global construction industry has a history of poor project success, with evident and frequent overruns in cost and schedule. This industry is a highly interconnected and complex system in which the components, i.e. suppliers, contractors, end-users, and stakeholders, are delicately linked to each other, the community, and the environment. Therefore, defining and measuring project success can be challenging for sponsors, contractors, and the public. To address this issue, this study develops and analyzes a more comprehensive set of success criteria for medium and large construction projects.

After reviewing the existing literature, this study identified 19 success criteria for medium and large construction projects, which were categorized into five groups. The fuzzy decision-making trial and evaluation laboratory (fuzzy DEMATEL) method was used to gain further insight into the interrelationships between these categories and explain the cause-and-effect relationships among them. Next, this study applied the modified logarithmic least squares method to determine the importance weight of these criteria using the fuzzy analytic hierarchy process.

28 project managers working in the construction industries in Australia and New Zealand participated in this study. Results suggest that “project efficiency” and “impacts on the project team” are cause criteria that affect “business success,” “impacts on stakeholders,” and “impacts on end-users.” Effective risk management emerged as the most crucial criterion in project efficiency, while customer satisfaction and return on investment are top criteria in “impacts on end-users” and “business success.”

Although numerous studies have been conducted on project success criteria, multicriteria analyses of success criteria are rare. This paper presents a comprehensive set of success criteria tailored to medium and large construction projects. The aim is to analyze their interrelationships and prioritize them thoroughly, which will aid practitioners in focusing on the most important criteria for achieving higher success rates.

The performance of large-scale projects is often challenged due to major environmental changes that occur during their life. However, literature has paid little attention to the governance adaptations required to respond effectively to these changes. This paper aims to study changes in the project environment over time, the corresponding governance adaptations and their impact on project performance.

To ensure triangulation between two sources of evidence, we used both primary and secondary data sources and examined 14 projects through 2 studies, the first focused on seven documented, illustrative case projects and the second on interviews with senior and project managers involved in seven additional projects.

We found the key environmental changes that should trigger appropriate governance adaptations to be market evolutions, technological advancements and sociopolitical events. However, we also found that these necessary governance adaptations are not commonly implemented timely, sufficiently or effectively.

The paper distills the dynamics of large-scale projects in achieving project effectiveness and raises theoretical propositions on the combination of environmental changes and deficient governance adaptations that, over time, turns efficient projects into ineffective projects and discusses implications for theory and practice.

Although the literature is clear on what comprises effective project stakeholder management, communication between key stakeholders and project managers is often ineffective. Research is silent on stakeholders' insufficient knowledge of project management terminology, which is a barrier for such effective communication. This paper aims to identify the project management concepts that key stakeholders should understand to improve effective communication.

This paper employs a three-step research design. In the first step, based on threshold concept theory, the authors identify the key project management concepts through interviews with 20 project management practitioners, trainers and trainees. In the second step, the authors confirm the findings from the first step and identify effective approaches to enhance project stakeholders' communication through seven additional interviews with project stakeholders. In the third step, the authors construct a functional model of the research findings by employing a system-level modeling tool.

This research identifies five project management threshold concepts (TC) that are challenging for project stakeholders to understand (1) project benefits, (2) the iron triangle, (3) the critical path, (4) uncertainty and (5) project leadership. Following these knowledge barriers, the paper proposes unique approaches to develop effective project stakeholder communication.

This paper advances project stakeholder management research by identifying knowledge barriers and providing project managers with more effective approaches to better engage with their stakeholders.

Risk response decisions (RRDs) are vital for project risk mitigation. Although past research has focused on RRDs for independent single projects, it has scarcely explored how to make RRDs for single projects in project portfolios (SPPPs). Consequently, this study aims to bridge the gap in extant literature by developing an integrated approach to select risk response strategies (RRSs) for SPPPs considering objective adjustments and project interdependencies (PIs).

An integrated quality function deployment (QFD) method was used throughout this study. More so, a balanced score card (BSC) and stratified-Z-numbers-full consistency method (SZFUCOM) was applied to identify SPPP success criteria (SP3SC) to determine their weights. In addition, a spherical fuzzy set-design structure matrix (SFDSM) was used to quantify the correlation between the risks and the relationship between the risks and the predecessor projects. Consequently, the relationships between the risks and SP3SC and RRSs were described by the spherical fuzzy set (SFS) and Z-numbers, respectively. Besides, the results are weaved into QFD to transform SP3SC into risks and then into RRSs, while a linear optimization model is used to obtain the optimal RRSs. Lastly, a construction project portfolio (PP) was used to test the veracity of the results to prove their validity.

The approach to RRDs for single projects is observed to be different from that of SPPPs. In addition, this study finds that project portfolio objective adjustments (PPOAs) and PIs have significant impacts on RRDs given that they influence the risk priorities of independent single projects and SPPPs. Moreover, the application of an integrated QFD effectively synthesized the results from the findings of this study, as well as enabled companies to determine robust RRSs. Finally, the consistency results of the SZFUCOM were better than those of the triangular fuzzy number-full consistency method.

The study innovatively explores the method of RRDs for SPPP, which has been ignored by past research. SP3SC highly compatible with PP success is determined. Z-numbers are first used to evaluate the effect of RRSs to enhance the robustness of RRDs. The study proposes a method of RRDs comprehensively considering PPOAs and PIs, which provides robust methodological guidance for SPPP managers to control risks.

A variety of buffer allocation methods exist to distribute an aggregated time buffer among project activities. However, these methods do not pay simultaneous attention to two key attributes of disruptive events that may occur during the construction phase: probability and impact. This paper fills this research gap by developing a buffer allocation method that takes into account the synergistic impact of these two attributes on project activities.

This paper develops a three-step method, calculating the probability that project activities are disrupted in the first step, followed by measuring the potential impact of disruption on project activities, and then proposing a risk-informed buffer allocation index by simultaneously integrating probability and impact outputs from the first two steps.

The proposed method provides more accurate results by sidestepping the shortcomings of conventional fuzzy-based and simulation-based methods that are purely based on expert judgments or historical precedence. Further, the paper provides decision-makers with a buffer allocation method that helps in developing cost-effective buffering and backup strategies by prioritizing project activities and their required resources.

This paper develops a risk-informed buffer allocation method that differs from those already available. The simultaneous pursuit of the probability and impact of disruptions distinguishes our method from conventional buffer allocation methods. Further, this paper intertwines the research domains of complexity science and construction management by performing centrality analysis and incorporating a key attribute of project complexity (i.e. the interconnectedness between project activities) into the process for buffer allocation.

The paper responds to calls in recent research for a model that shows how the business case should be used throughout the project's lifetime to achieve sound governance and thereby project success. The aim of the paper is to advance theory about the effective use of the business case.

Besides the processes and information required, the literature identified 43 organizational facilitating factors, structured into 5 categories, which are required for effective use of the business case. To offer a useful model, the authors' approach was to do a factor analysis, based on existing survey data, to reduce the number of facilitators and to validate their categorization.

The findings of the paper were as follows: (1) the classification of the proposed facilitating factors was validated; (2) the number of facilitators needed to ensure that the business case is used effectively was substantially reduced and (3) a “business case effectiveness model” is proposed to clarify the relationship between the organizational facilitating factors, the business case processes and the information required to effectively use the business case.

This is the first time that a business case effectiveness model has been proposed. Besides consolidating business case theory, it can be used to guide people and organizations on simple, affordable ways to improve their use of the business case to achieve sound governance and hence business/information technology project success.

Evaluating project success within the construction industry presents challenges due to the unique characteristics of the sector, the complexity of projects, and the involvement of diverse stakeholders. Conducting a bibliometric analysis, this paper aims to unravel the major research themes and methodologies utilised by researchers in studying the critical success criteria for construction projects, as well as extracting these success criteria.

The researchers systematically searched and screened 95 papers from Scopus and Web of Science (WoS) databases. This study conducted research focus parallelship network (RFPN) analysis and keywords co-occurrence network (KCON) analysis using BibExcel and Gephi to cluster the papers, illuminate the relationships among keywords within each cluster, and identify the primary research directions.

Using the RFPN analysis, this study classified the papers into three distinct clusters: infrastructure and public projects success, risk and knowledge management, and contractors and procurement management. Statistical techniques such as structural equation modelling (SEM) and multi-criteria decision-making methods such as analytic hierarchy process (AHP) have been used to analyse project success in the construction industry.

Considering the intensified demand for streamlined digital interactions and the increasing emphasis on sustainability and safety performance, construction companies are recommended to allocate greater investments toward the automation and digitisation of their products and processes. Prioritising modular construction and embracing transformative technologies alongside data science is crucial for enabling well-informed decision-making, and enhancing project success.

This study contributes to the existing body of knowledge by conducting a quantitative and systematic evaluation of the literature on project success criteria in the construction industry and uncovering key research areas. It addresses the pressing need to understand the complexities of construction projects amidst evolving industry dynamics and emerging disruptions. Moreover, by highlighting the implications of digital innovations and modular construction, this study urges deeper exploration into their impact on project performance and stakeholder satisfaction. This research sets a comprehensive framework for investigating the interplay between project complexity, technological advancements, and sustainable practices in the construction sector, paving the way for strategic advancements in the field.

Project goal setting, led by a project proposal development team, is an important operations process because effective goal setting aligned with the operations strategy can enhance project investment decision making, project success and thereby operations performance. The purpose of this paper is to argue that because of the strategic nature of this task, the organizational climate (OC) that the proposal development team works in is critical for the effectiveness of their goal setting.

The authors raise hypotheses regarding the role OC plays in enhancing the effectiveness of the support senior executives provide to project proposal teams. The authors test the hypotheses in a longitudinal survey of 200 managers in the USA.

Results show that a formal organizational process used by proposal development teams for setting project goals is highly effective and that an appropriate OC further intensifies the positive effect of such a process. However, a formal organizational process has no positive effect on effective goal setting if implemented in an environment with a poor OC.

The paper contributes to the literature by finding that a positive OC intensifies the already positive effect of organizational support. In practice, the creation of such a climate can enhance project goal setting, project success, and as a result, operations performance.