Interaction between project management processes: a social network analysis

Herrera, Rodrigo; Matus, José Miguel; Santelices, Carlos; Atencio, Edison

doi:10.1504/ijpom.2020.106374

Cited by 2 publications

(3 citation statements)

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“…Strategic Misrepresentation e.g., Underestimating cost [3,6,30,32,[95][96][97][98] escalating commitment [30,99] Pre-election commitments [53] Ministerial interference [92] Direct political influences [91,100] Project actors underestimating cost [27,32,40,53,97,101] Selecting politically aligned contractors [100,102] Political business cycles (Election cycles) [93] Governance shortfall in the organisation [103][104][105] Contract Poorly designed (intentionally) [50,54] Selection of political aligned PM team [106] Project actors overestimating benefits [32,97] Inappropriate Government Policies [107, 108]…”

Section: Cost Overrun Factors (Crfs) Authors Referencementioning

confidence: 99%

Rationalizing Critical Cost Overrun Factors on Public Sector Housing Programmes

et al. 2022

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The cost overrun phenomenon on projects worldwide creates a major source of risk that warrants investigation. The prevailing factor school of thought provides strong empirical evidence that critical factors contributing to cost overruns are both context-specific and project-specific. Although many studies have been conducted identifying factors and causes of cost overruns, very few studies have investigated root causes. Additionally, a limited body of knowledge is available within the context of Small Island Development States (SIDS). To fill this gap, the objectives of this study were to identify and determine the main critical factors contributing to the cost overrun phenomenon in public sector social housing programmes (PSSHPs). These selected factors were thereafter categorized under leading root causes, and their severity was determined based on primary stakeholders’ perspectives. One hundred and twenty-three factors were identified from the literature, of which forty-one critical factors were extracted and grouped under four root causes based on a pilot survey of relevant public sector housing experts in the Trinidadian and Jamaican construction sectors. These refined factors and root causes were formulated into a questionnaire survey. One hundred and five responses were obtained from professionals who had a minimum of five years’ experience in various phases of public housing delivery. The severity of these critical factors was evaluated, ranked, and categorized using the relative importance index (RII) approach. The findings uncovered the leading root cause, which is political in nature. The top five critical factors are the selection of politically aligned contractors, the intentional design of inadequate contracts, the project actors' deliberately underestimating costs, the partisan project management team, and strategic misrepresentation. These findings are unique to SIDS and contribute to knowledge to reframe contemporary project management practices, which focus mainly on technical causes. Finally, as existing technical solutions are ineffective in curbing cost overruns in PSSHPs, these findings also inform public sector policymakers to focus on prioritization, control, and mitigation of political risks in formulating effective governance mechanisms. Doi: 10.28991/ESJ-2022-06-03-016 Full Text: PDF

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Section: Cost Overrun Factors (Crfs) Authors Referencementioning

confidence: 99%

Rationalizing Critical Cost Overrun Factors on Public Sector Housing Programmes

et al. 2022

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“…Nodes are points where information entry or exits, and edges are the links between two nodes representing the information flow. Nodes and edges allow the development of a graph to be analyzed through metrics (Herrera et al 2020). These metrics are detailed in Table 1 and Table 2.…”

Section: Proceedings Of the 5thmentioning

confidence: 99%

“…This technique has been widely applied and used as a tool for organizations to understand its complexity and systems, identify knowledge leaders in organizations, measure collaboration of teams, the pattern of changes, structure and interactions (Daim et al 2016;Pan et al 2017). In the project management field, NA has been applied to understand the integration level of PMBOK processes through modelling its structure: input, tools, techniques and outputs (Herrera et al 2020). This article takes this work as a basis for studying the level of integration between the components of the Star Model.…”

Section: Introductionmentioning

confidence: 99%

Integration Between Star Model Components for Project-Based Organizations Design: a Network Analysis

Atencio¹,

Mancini²,

Bustos³

2022

Proceedings of the International Conference on Industrial Engineering and Operations Management

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Star Model is a framework for organization design and has been highlighted for its completeness and holistic perspective. Star Model has also been adapted to Project-Based Organizations' (PBO) design. Some researchers have chosen this guideline considering the connections and interdependence between its five components: Strategy, Process, Rewards, Human Resources and Structure. However, to the best of our knowledge, there is no quantitative viewpoint about these connections in the literature yet. In this paper, the interconnections between the Star Models' components are modelled, measured, and analyzed using the Network Analysis (NA) tool. NA is a technique that predicts the structure of the relationships between entities and uses graph theory to deploy its connections through mathematical indicators. The results confirm that all Star Model components are linked effectively, although at different levels, and that some components are the bridge for maintaining their relationships. This research seeks to provide a management tool for project managers and organizational analysts, giving quantitative support for effective organizational design and implementation.

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Interaction between project management processes: a social network analysis

Cited by 2 publications

References 0 publications

Rationalizing Critical Cost Overrun Factors on Public Sector Housing Programmes

Rationalizing Critical Cost Overrun Factors on Public Sector Housing Programmes

Integration Between Star Model Components for Project-Based Organizations Design: a Network Analysis

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