Understanding the Dynamics of Construction Decision Making and the Impact on Work Health and Safety

Pirzadeh, Payam; Lingard, Helen

doi:10.1061/(asce)me.1943-5479.0000532

Cited by 26 publications

(13 citation statements)

References 45 publications

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“…The prevalence of work-related safety issues is common in the world, but it is more serious in developing countries in particular [ 18 , 19 ]. Many employees sustain physical or mental damages in performing their jobs and they carry the consequences out to their families and immediate social circle [ 20 ]. The consequences could be loss of dignity, depression, anxiety, premature aging, attempt at suicide, low self-esteem, lack of trust in people, absenteeism, losing autonomy, injuries, and physical and musculoskeletal injuries [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Work Safety on Organizational Social Sustainability Improvement in the Healthcare Sector: The Case of a Public Sector Hospital in Pakistan

Ullah

Sulaiman

Ali

et al. 2021

IJERPH

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Social sustainability is the much emphasized organizational phenomenon in Western literature; however, in emerging economies, its importance has only been realized in the recent past. Social sustainability is the amiability of the relationship between employees and the organizations on a relatively permanent basis. Social sustainability is the key determinant of organizational sustainability and organizational effectiveness. As healthcare organizations are labor-intensive, the role of social sustainability in hospitals is more crucial. The purpose of the present study is to understand the role of work safety in improving social sustainability in public sector hospitals. To this effect, we collected data from 431 healthcare professionals of a large public sector tertiary and teaching hospital in the city of Lahore Pakistan and analyzed the data using structural equation modeling (SEM). The results uncovered certain important facts, which were not expected per se. job design, coworkers’ behavior towards work safety, and supervisors’ role in ensuring work safety are the key factors that influence social sustainability. However, surprisingly, in the eyes of employees, management practices and safety programs/policies do not contribute to the work safety of the hospital under study. Keeping in view the findings, we suggest that management must participate in work safety affairs directly and formulate indigenous policies and programs according to local needs. Job analysis is needed to redesign job structures to meet workplace safety requirements. Formal and informal training will be beneficial to make workers and supervisors more aware, more sensitive, and more responsible regarding work safety.

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Section: Introductionmentioning

confidence: 99%

The Effect of Work Safety on Organizational Social Sustainability Improvement in the Healthcare Sector: The Case of a Public Sector Hospital in Pakistan

Ullah

Sulaiman

Ali

et al. 2021

IJERPH

View full text Add to dashboard Cite

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“…is is a balancing feedback loop meaning that the increase of decision information risk will stimulate the rise of decisionmaking process risk, with which decision execution process risk will grow, and then much attention will be paid to decreasing the risk of decision-making information risk. According to Pirzadeh and Lingard [79], technical decisionmakings arise as the result of information exchanges between projects actors. Information is essential as an input of the decision-making process [23,80].…”

Section: Dynamic Model Of Tdmrs In Megaprojectsmentioning

confidence: 99%

“…Research has shown that the knowledge to make a TDM resides in more than one decision-making participant [82]. TDM arises as the result of interactions and information exchanges among decisionmaking participants [79]. Hence, it is safe to claim that decision-making participants, such as project managers, play a pivotal role in successful TDM [83].…”

Section: Dynamic Model Of Tdmrs In Megaprojectsmentioning

confidence: 99%

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Exploring Technical Decision-Making Risks in Construction Megaprojects Using Grounded Theory and System Dynamics

Tang

Wang

et al. 2022

Computational Intelligence and Neuroscience

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Technical decision-makings (TDMs) are a vital part of the decision-makings in construction megaprojects, facing high risks brought by technical complexity, dynamic environment, and subject cognition. Identifying technical decision-making risks (TDMRs) and exploring their interactions are important in megaproject management. Due to the high complexity of TDMs in megaprojects, TDMRs are complex and diverse. However, there is a lack of research on exploring the systematic TDMRs in megaprojects. To address this gap in knowledge, this paper aims to better understand the dynamic complexity of TDMRs in megaprojects by identifying the risks and exploring their interactions from a dynamic and systematic perspective. Grounded theory (GT) and system dynamics (SD) were adopted for this research. First, the GT was used to identify TDMRs in megaprojects and create a conceptual model depicting the relationships among TDMRs. Then, an SD model characterizing the causal structure of the TDMRs system in megaprojects is developed in both qualitative and quantitative manners. The developed model involves interrelationships among environmental risks, decision-making process risks, and decision-making execution process risks. After the validation of the model, a model simulation is conducted to predict the dynamic evolution process of the TDMRs. As a result, a multilayer risk list consisting of 42 index layer risk indicators, 13 field layer risk indicators, and 3 standard layer risk indicators is identified. The SD modeling results show that these multilevel TDMRs interact dynamically and have intricate influences on the total risk level of TDMs in megaprojects. The results of this study could be useful for decision-makers to identify and mitigate TDMRs in megaprojects.

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“…Mok et al (2017) performed centrality analysis to capture interdependencies between stakeholders in public engineering projects. Using degree centrality, Pirzadeh and Lingard (2017) measured the extent to which each stakeholder was connected to other stakeholders in a construction project. In a similar vein, Valentin et al (2018) used degree centrality as an indicator to quantify stakeholders' ability to negatively affect the construction project metrics.…”

Section: Literature Reviewmentioning

confidence: 99%

Reimaging stakeholder analysis in project management: network theory and fuzzy logic applications

Zarghami

Dumrak

2020

ECAM

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PurposeThe methods presently used for project stakeholder analysis have typically followed two distinct patterns: (1) a project-centric approach that places a project at the center, and subsequently, concentrates on dyadic relationships between the project and its stakeholders; (2) a network theory-based approach that emphasizes on the interconnections within the network of project stakeholders. The main contention of this study is built upon the premise that neither the sole analysis of dyadic relationships between a project and its stakeholders nor the stand-alone use of the network theory methods is adequate for reliable analysis of stakeholders.Design/methodology/approachThis article proposes a model that bases the salience of stakeholders on their relationships with the project as well as on their interdependencies in the project. In doing so, this work explores the potential of a Fuzzy Inference System (FIS) to provide a comprehensive picture of stakeholder analysis. Using a real-world biodiversity project, this paper analyses the project stakeholders based on their possession of various attributes as well as the extent to which each individual stakeholder influences the entire connected network of all stakeholders.FindingsA salient feature of the proposed FIS model is its ability to provide a high capacity for analyzing the results. The model is able to generate the input–output relationship surface view for stakeholder analysis. Further, unlike the traditional project stakeholder analysis methods that are linear, the proposed model is strongly nonlinear. This implies that change in the input variables of the fuzzy-based model is not expected to lead to a proportional change in the model output.Practical implicationsTwo practical implications can be drawn from the presented stakeholder analysis model. First, confronted with mounting pressure to understand the stakeholder environment and to effectively manage stakeholders, project managers need to establish a sound stakeholder management strategy. The stakeholder analysis model developed herein casts a wider net for the critical ranking of stakeholders in a project, thereby providing a more accurate prioritization of the stakeholders. Second, while stakeholders independently require managerial attention, understanding the effect of competing and cooperative stakeholder interactions are unarguably of great importance. The presented model prompts the project managers to recognize not only the influence of key stakeholders on the project but also the interactions of multiple stakeholders within the stakeholder network.Originality/valueThe proposed stakeholder analysis model possesses several desirable features. First, it is not constrained to capturing only stakeholder attributes discussed in the example project provided in this study. The model is flexible and adaptable to all business and management contexts. Second, the stakeholder mapping in the model is not a function of a sole attribute but rather a cumulative effect of multiple stakeholder attributes. In fact, the power of the suggested model lies in its ability to incorporate the three aspects of stakeholder theory into a single model. Third, the presented model builds a quantitative and qualitative picture of the stakeholder salience. The suggested FIS model is capable of processing both qualitative perception of stakeholder attributes and quantitative analysis of the network of stakeholder interactions. This allows for a more comprehensive and synergistic utilization of model inputs.

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Understanding the Dynamics of Construction Decision Making and the Impact on Work Health and Safety

Cited by 26 publications

References 45 publications

The Effect of Work Safety on Organizational Social Sustainability Improvement in the Healthcare Sector: The Case of a Public Sector Hospital in Pakistan

The Effect of Work Safety on Organizational Social Sustainability Improvement in the Healthcare Sector: The Case of a Public Sector Hospital in Pakistan

Exploring Technical Decision-Making Risks in Construction Megaprojects Using Grounded Theory and System Dynamics

Reimaging stakeholder analysis in project management: network theory and fuzzy logic applications

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