Project Leadership and Society最新文献

Amidst the disruptive backdrop of the COVID-19 pandemic, organizations are navigating toward a new normal, leveraging digital technologies to reconfigure business processes and operational practices. This study delves into the transformative effects of digitalization on project management, with a focus on integrating data-savvy talent in a data-rich era. Employing a mixed methods approach, data were collected from June to November 2022, providing a comprehensive blend of various perspectives. Quantitative and qualitative methods were adopted successively in this study to explore the formation mechanism of digital competence of talents in project management and analyze the practical experience and expectations on the impact of data-savvy talents on project management. This study highlights the crucial role of organizations in actively shaping digital competencies to align with the changing demands of project management. It also emphasizes the increasing importance of data-savvy talents, whose intrinsic understanding of digital technologies and business models is essential in transforming the project management landscape. The outcomes of this study offer both theoretical insights into the nexus of digital competence, talent management, and project management, and practical guidelines for effectively integrating new talents into project management practices.

The Public-Private Partnerships (PPP) financability is influenced by both internal and external factors of the project. Given the myriad of factors that influence the participation of social capital in PPP projects, in this study, we examine 14,038 PPP projects from the China Public‒Private Partnership Centre (CPPPC) database. We aim to construct an ensemble learning-based prediction model for the financability of PPP project by selecting 61 feature variables across four dimensions, namely, project characteristics, local government, the market environment, and macroeconomics. The experimental results demonstrate that the dragonfly algorithm effectively improves model prediction accuracy through the reduction of feature dimensionality. From a feature combination perspective, the combinations related to the project itself, local government, and macroeconomic factors exhibit superior predictive performance than other combinations. Among the relevant factors, the project's intrinsic characteristics exert the most significant impact on social capital participation in PPPs, followed by local government factors. Notably, the inclusion of market environment variables tends to decrease the level of model accuracy, except when considering the project's intrinsic characteristics in isolation. Thus, a dynamic approach is recommended to capturing instantaneous variables such as the market environment is recommended for enhancing model performance. Additionally, social capital should rely on an assessment of the financial capacity of local governments to ensure effective PPP outcomes.

This study examines how policymakers’ different narrative strategies influence citizens’ attitudes towards megaprojects thus shaping their development. Drawing on an in-depth case study about the Lyon-Turin trainline, we identify two distinct narrative ideal-types: hedonic narrative and instrumental narrative. Our findings demonstrate that these strategies influence both rational thinking (sense) and emotional engagement (sensibility). Hedonic narratives can have a negative impact on citizens’ attitudes by making them feel uncertain and consequently leading them to oppose the project, while instrumental narratives can have positive impact on citizens’ attitudes by making them informed and consequently leading them to supporting the project. Therefore, our findings highlight the significance of employing different narrative strategies, and the different effects of mobilizing the different narrative strategies vis-a-vis megaprojects in two institutional contexts. In addition, our study contributed to this special issue by mobilizing a novel comprehensive methodological approach Latent Dirichlet Algorithm (LDA), along with qualitative methods to gain insights into the complex dynamics of stakeholder behavior in megaprojects.

This study investigates the nuanced relationship between public sector project managers and their adherence to organizational project management protocols, as defined by reference documents such as PRINCE2 and PMBOK® Guide. It investigates why these project managers frequently deviate from these protocols. The study investigates the practical relevance yet perceived redundancy of these documents through interviews and a focus group with nine experienced project managers in the Australian public sector. Using thematic analysis and a Derridean perspective, we show how these documents create a project manager's their authority and autonomy. The study concludes with the proposal of a deconstructive theory of public sector project management, emphasising pragmatism over rigid adherence to established project management ideologies.

Bidder selection is a complex procurement decision that often surfaces in most project-based industries. The widely preferred institutional logic of low-cost bidder causes quality-related issues and poor revenue generation in the operations and maintenance phase. Therefore, the present research aims to evaluate bidder selection using the cost of quality principles. The research framework based on the cost of quality is formulated, and the risk of bidder selection associated with the cost of quality and revenue generation is assessed using @risk simulation software. The revenue generation of the facility is simulated with bid price and cost quality and subsequently validated using a case of a public-private partnership water supply project of Latur City in India. The research contribution entails that bidder selection based on price can be undertaken, provided the bidder has demonstrated evidence of the investment in the cost of quality. The research has demonstrated that the bidders possessing the larger water augmentation capacity and lower cost of quality expenditure are more likely to generate higher revenue than the competing bidders. Therefore, the bidder selection based on price alone will not yield adequate revenue generation during water operations and maintenance phases of water supply projects.

The implementation of collaborative project delivery models introduces new ways of working, changing processes and behaviours, and influencing network structures, especially in major inter-organisational projects. The ongoing standardisation thereof helps align the industry and change infrastructure institutions while the formation of network ties in a specific project can in turn guide the implementation of the models. We study how this deliberate change of governance structures impact project institutions through two Nordic infrastructure projects, which show how different project networks result in either a successfully implemented change or a return to traditional behaviours. Our findings show first, how inter-organisational projects with a collaborative approach can change institutions through the interaction of institutional levels and second, that network ties helps changing the institutional context, role behaviours and project processes. The findings contribute to the discussion on institutional change and give empirical evidence of how project networks help explain the success or failure of institutional change initiatives.

Project Portfolio Selection (PPS) is a relevant activity in organizations to define the best set of projects to pursue their strategic objectives. Previous works have presented diverse and sometimes conflicting understandings of the meaning and implications of interdependencies to PPS. This paper presents a literature review encompassing the terminology and the multiple approaches available. We depict an unprecedented contribution to PPS research by proposing a novel definition for relationships between projects that organizes and clarifies the meanings of the pre-existing definitions for interdependencies, interactions, and synergy and fulfills the existing gaps in those current definitions. We also present a comprehensive overview of how future developments can improve PPS in organizations by considering these relationships. Thus, this work enables future research and practice to build upon the underlying concepts presented and to address the trends for PPS and program implementation.

Achieving the UN's Sustainable Development Goals (SDGs) constitutes a formidable challenge. Existing solutions may be insufficient to respond to the scale and scope of the endeavour. The 17 SDGs are not discrete but interconnected, sustained by 169 targets. Their cross-level effects require the adoption of a panarchical view of data. New Space projects, still unfamiliar to many managers and organizations, provide such data related to grand challenges capable of addressing the paradoxes that arise from the interaction of a system of systems of multiple scales of spatiality, temporality and social organization. To address these requires project managing developing capabilities that can connect everyday interventions in terrestrial economy and society with high level data findings from Geospatial Information Systems. We contribute to the SDG debate through the articulation of three streams of literature that may radically revise the way wicked problems are addressed: panarchy, paradox, and New Space.

Political corruption is especially relevant for large-scale projects because of their popularity among politicians and citizens alike, as well as their inherent qualities. The goal of this study is to find out about the causes, methods, occurrences, and effects of political corruption in large-scale infrastructure projects in Nigeria. The investigation uses a case analysis of Lagos-Ibadan Highway and was divided into two stages: the 1999–2009 political era and the 2010–2019 political era. The information was gathered through document and report analysis. The symptomatic investigation of the political corruption of the Lagos-Ibadan Highway was guided by a conceptual model based on symptoms. Within-case and cross-case comparative theme analysis were performed on the dataset. The investigation indicated how the occurrence of patronage, influence peddling, embezzlement, and biased law enforcement can explain political corruption in the highway project. The investigation resulted in a better understanding of the reasons for the project's failure and abandonment. The knowledge can be used to prevent political corruption in public projects and to lay the groundwork for long-term infrastructure development. This study was limited because it was unable to provide unambiguous evidence to prove that political corruption occurred in the case study.