The Effect of Risk Management Practices on Project Performance: A Case Study of the Libyan Construction Industry

Purpose: The general aim of the study was to investigate the implementation of risk management in the construction industry in Libya.   Theoretical framework: The role of risk management in project management in the construction industry in Libya is described in this paper. The study involved more than three hundred construction companies located in Tripoli and Benghazi as these are two main cities in Libya where construction was most active and involved big projects and large investment.   Design/methodology/approach: Questionnaires which were designed based on cluster sampling were sent to respondents i.e., basically the company managers and 250 replies were obtained. Structured equation modelling was used to analysis the information by Smart-PLS program. The risk management processes defined by identification, assessment and monitoring which contributed to the project success was also related to the financial risk.   Findings: The study found that risk management practices had substantial and favourable effects on the success of the project's execution. Further the awareness of quality management in terms of risks was most encouraging.   Research, Practical & Social implications: The current findings of this research have shown that   most studies focus on the effect of risk management practices as strong tool to improve the project performance.  A productivity  survey  might  give  a better overview of risk management at other sectors as it concerns the actual output of the construction companies.   Originality/value: The systematic literature review approach was hardly found in study of risk management and project performance. At the same time, the exploratory method was applied to synthesize previous studies on risk management and project performance in construction companies

Collaborating With Communities: Citizen Science Flood Monitoring in Urban Informal Settlements

Concerns regarding the impacts of climate change on marginalised communities in the Global South have led to calls for affected communities to be more active as agents in the process of planning for climate change. While the value of involving communities in risk management is increasingly accepted, the development of appropriate tools to support community engagement in flood risk management projects remains nascent. Using the Revitalising Informal Settlements and their Environments Program as a case study, the article interrogates the potential of citizen science to include disadvantaged urban communities in project-level flood risk reduction planning processes. This project collected more than 5,000 photos taken by 26 community members living in 13 informal settlements in Fiji and Indonesia between 2018 and 2020. The case study documents the method used as well as the results achieved within this two-year project. It discusses the method developed and implemented, outlines the main results, and provides lessons learned for others embarking on citizen science environmental monitoring projects. The case study indicates that the engagement model and the technology used were key to the success of the flood-monitoring project. The experiences with the practice of monitoring floods in collaboration with communities in Fiji and Indonesia provide insights into how similar projects could advance more participatory risk management practices. The article identifies how this kind of approach can collect valuable flood data while also promoting opportunities for local communities to be heard in the arena of risk reduction and climate change adaptation

A model for predicting cost control practice in the Ghanaian construction industry

Abstract: One of the key roles of construction project managers is to execute construction projects within the targeted project cost. In Africa, most construction projects suffer huge cost overruns. Project cost control practice is required by every construction firm to keep the project cost in line with the budgeted cost. A comprehension of the different parts of cost control philosophies is fundamental to empower project cost managers to adequately set up robust cost controls and to improve future strategies for active construction project cost delivery. Although there are efforts by project cost managers to control cost, there is a lack of understanding of the factors that determine cost control practice in Ghana, as a developing nation. The factors enhancing cost control practice and a formal model are needed for consideration by project cost managers to guide their operations. This study develops a model for predicting cost control practice in the Ghanaian construction industry. Mixed-method methodology was utilised for this study. The qualitative survey used the Delphi survey approach to investigate the primary factors and measurement-related factors. The study identifies project cost control as eight-factor constructs: project cost estimation, project cost budgeting, project cost reporting, project cost monitoring, project cost analysis, decision-making, change management and project cost communication. These had strong inter-quartile deviations. ..D.Phil. (Engineering Management

Optimal adaptive management for the translocation of a threatened species

Active adaptive management (AAM) is an approach to wildlife management that acknowledges our imperfect understanding of natural systems and allows for some resolution of our uncertainty. Such learning may be characterized by risky strategies in the short term. Experimentation is only considered acceptable if it is expected to be repaid by increased returns in the long term, generated by an improved understanding of the system. By setting AAM problems within a decision theory framework, we can find this optimal balance between achieving our objectives in the short term and learning for the long term. We apply this approach to managing the translocation of the bridled nailtail wallaby (Onychogalea fraenata), an endangered species from Queensland, Australia. Our task is to allocate captive-bred animals, between two sites or populations to maximize abundance at the end of the translocation project. One population, at the original site of occupancy, has a known growth rate. A population potentially could be established at a second site of suitable habitat, but we can only learn the growth rate of this new population by monitoring translocated animals. We use a mathematical programming technique called stochastic dynamic programming, which determines optimal management decisions for every possible management trajectory. We find optimal strategies under active and passive adaptive management, which enables us to examine the balance between learning and managing directly. Learning is more often optimal when we have less prior information about the uncertain population growth rate at the new site, when the growth rate at the original site is low, and when there is substantial time remaining in the translocation project. Few studies outside the area of optimal harvesting have framed AAM within a decision theory context. This is the first application to threatened species translocation

Adaptive Management Facilitates Increase in Northern Bobwhite Populations

Adaptive resource management (ARM) is an approach to managing that allows decision makers to learn about a system and subsequently change management actions based on new information about system processes (i.e., adapt) to better meet fundamental objectives. This is not to be confused with changing management actions when the state of the system changes. For example, changing a harvest regulation when populations decline is not ARM. This dynamic decision making may be fortuitously optimal, but if the effect of harvest is uncertain then changing regulations may be suboptimal—for example, weather may have caused the decline. Adaptive resource management can be implemented along a spectrum of passive to active to reduce system uncertainty. Active ARM is when explicit hypotheses are posited then implemented to test them, and monitoring occurs to elucidate whether the effect of the management action achieved a given result. Passive ARM uses current management practices, natural variation in the system, and monitoring to reduce uncertainty. Even though northern bobwhite (Colinus virginianus) have been studied for a century, uncertainty regarding optimal management strategies still exists. The Albany Quail Project (AQP) has used both modes of ARM to learn about northern bobwhite populations to better meet the hunting objectives of stakeholders. Between 1992 and 2019 the AQP radio-tagged 5,182 unique individuals and banded an additional 5,008 birds on the primary study area near Albany, Georgia, USA. Additionally, 1,724 nests have been monitored and population surveys conducted in the spring and autumn. Active ARM occurred with tests of supplemental feeding, hardwood cleanup, and predator control whereas passive ARM was used to learn about prescribed fire regimes, brood habitat preferences, small mammal cycles, and raptor migrations. We built an integrated population model (IPM) that combined known-fate survival data, nesting records, dead recoveries from harvest, and population surveys to model the system. The preliminary results of the IPM demonstrated that populations have increased during the project. The 5 most abundant autumn populations have occurred in the most recent 10 years of the project when bobwhite populations throughout their range have continued to decline. Unlike typical ARM applications, the AQP has not had an explicit model to predict consequences of future management actions; nonetheless, the essence of ARM has been followed. Since its inception uncertainty has been reduced, management actions have been changed, and bobwhite populations have responded. Improvements to AQP and similar projects could include explicit hypotheses and predictive models about the system to facilitate the transfer of knowledge to future bobwhite managers

Subjective risk assessment for planning conservation projects

Conservation projects occur under many types of uncertainty. Where this uncertainty can affect achievement of a project\u27s objectives, there is risk. Understanding risks to project success should influence a range of strategic and tactical decisions in conservation, and yet, formal risk assessment rarely features in the guidance or practice of conservation planning. We describe how subjective risk analysis tools can be framed to facilitate the rapid identification and assessment of risks to conservation projects, and how this information should influence conservation planning. Our approach is illustrated with an assessment of risks to conservation success as part of a conservation plan for the work of The Nature Conservancy in northern Australia. Risks can be both internal and external to a project, and occur across environmental, social, economic and political systems. Based on the relative importance of a risk and the level of certainty in its assessment we propose a series of appropriate, project level responses including research, monitoring, and active amelioration. Explicit identification, prioritization, and where possible, management of risks are important elements of using conservation resources in an informed and accountable manne

DETECT-AGING blind prediction contest: a benchmark for structural health monitoring of masonry buildings

The installation of monitoring systems on buildings allows analyzing variations in structural parameters over time, creating room for detection of damage. Structural Health Monitoring (SHM) systems have the potential to support pro-active risk management, where structural interventions are planned if specific thresholds related to target performance losses are achieved. DETECT-AGING is a research project of relevant national interest that was funded by the Italian Ministry of University and Research (MUR) through the PRIN 2017 programme. The project started in September 2019 and involves the universities of Bologna, Genova, Napoli Federico II, and Perugia. The main goal of the project is to develop a new analytical-instrumental approach aimed at the quantitative assessment of the effects of aging and material degradation on structural safety of cultural heritage, with special focus on masonry structures. Based on a combined use of structural models and health monitoring systems, indications and operational tools will be provided for the identification and quantification of structural damage, supporting the management of built cultural heritage. To this purpose, a two-storey masonry building, having a single room with a vault at the first floor and a timber roof, was built with the aim of being monitored and progressively and will be damaged during the project. It is equipped with a hybrid SHM system managed by the University of Perugia, which is based on both vibration and strain measurements. The present paper illustrates the main features of the case-study building and presents the results of the experimental program aimed at characterizing the mechanical properties of masonry the materials used. The final part of the paper presents a blind prediction contest based on prediction of modal features of the building in different damaged configurations

Telehealth monitoring of a hypertensive elderly patient with the new VITASENIOR-MT system: a case study

Telehealth technologies providing remote monitoring of health parameters are a promising approach for the management of arterial hypertension in the elderly. The VITASENIOR-MT platform was developed as a telehealth solution designed to contribute to improve the health condition and quality of life, promoting safe and independent living of the old adult. It is an 'internet-of-things'-based solution relying on the interaction of the old adult with a TV-set to record biometric parameters and to receive warning and recommendations related to health and environmental sensor recordings. We present a pilot study with a male hypertensive patient, aged 81 years old, under anti-hypertensive treatment, with epilepsy, arthritis and paroxistic atrial fibrillation as major comorbidities. The VITASENIOR-MT was installed at the patient's assisted-dwelling house and a remote follow-up was implemented for 2 months, monitoring daily blood pressure and heart rate, as well as weight and indoor environmental parameters.This work has been partially financed by the European Regional Development Fund (ERDF), through the partnership agreement Portugal2020 - Regional Operation Program CENTRO2020, under the project CENTRO-01-0145-FEDER-023369 AGA@4life: AGA - Comprehensive Geriatric approach to promote an active and healthy aging - implementation of an integrated and multidisciplinary intervention program, and the project CENTRO-01-0145-FEDER-023659 VITASENIOR-MT - Senior healthcare assistance in Medio Tejo.info:eu-repo/semantics/publishedVersio

An explorative study setting a national supportive system of near-miss management for the Italian industrial sector

Initiatives, projects, and programmes for Occupational Safety and Health (OSH) management benefit from supportive systems to develop and properly last over time. National OSH systems were born to enforce the law by applying national regulations. In the last years, most countries have started to take preventative actions to improve workers’ health and safety conditions. Assistance initiatives are growing fast, and new roles and profiles are arising to keep up with changes. Nowadays, national OSH actors usually perform both supervisory and supporting activities. This is widely applied in Italy where several bodies promote and support companies in taking part in OSH initiatives. In Italy, a collaborative project for near-miss management is under development by the Italian National Institute for Insurance against Accidents at Work (INAIL, i.e., in Italian, “Istituto Nazionale Assicurazione Infortuni sul Lavoro”). The project aims at increasing awareness of the relevance of near-miss monitoring. This paper studies the environment setting for this project, so bodies that will have an active role in its implementation and daily management. A focus group with INAIL’s experts and researchers from two Italian universities has enabled to identify key actors and their role in the project’s development and to select the most viable scenarios. This work provides a methodological approach to study other national supportive OSH systems and also detects Italian best practices replicable in other countries

A decade of monitoring Atlantic cod Gadus morhua spawning aggregations in Massachusetts Bay using passive acoustics

© The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Caiger, P. E., Dean, M. J., DeAngelis, A. I., Hatch, L. T., Rice, A. N., Stanley, J. A., Tholke, C., Zemeckis, D. R., & Van Parijs, S. M. A decade of monitoring Atlantic cod Gadus morhua spawning aggregations in Massachusetts Bay using passive acoustics. Marine Ecology Progress Series, 635, (2020): 89-103, doi:10.3354/meps13219.Atlantic cod Gadus morhua populations in the northeast USA have failed to recover since major declines in the 1970s and 1990s. To rebuild these stocks, managers need reliable information on spawning dynamics in order to design and implement control measures; discovering cost-effective and non-invasive monitoring techniques is also favorable. Atlantic cod form dense, site-fidelic spawning aggregations during which they vocalize, permitting acoustic detection of their presence at such times. The objective of this study was to detect spawning activity of Atlantic cod using multiple fixed-station passive acoustic recorders to sample across Massachusetts Bay during the winter spawning period. A generalized linear modeling approach was used to investigate spatio-temporal trends of cod vocalizing over 10 consecutive winter spawning seasons (2007-2016), the longest such timeline of any passive acoustic monitoring of a fish species. The vocal activity of Atlantic cod was associated with diel, lunar, and seasonal cycles, with a higher probability of occurrence at night, during the full moon, and near the end of November. Following 2009 and 2010, there was a general decline in acoustic activity. Furthermore, the northwest corner of Stellwagen Bank was identified as an important spawning location. This project demonstrated the utility of passive acoustic monitoring in determining the presence of an acoustically active fish species, and provides valuable data for informing the management of this commercially, culturally, and ecologically important species.Thanks to Eli Bonnell, Genevieve Davis, Julianne Bonell, Samara Haver, and Eric Matzen for assistance in MARU deployments, Dana Gerlach and Heather Heenehan for help in passive acoustic data analysis, and the NEFSC passive acoustics group for useful discussions. Funding for 2007−2012 passive acoustic surveys was provided by Excelerate Energy and Neptune LNG to Cornell University. Fieldwork for 2013−2015 was funded through the 2013−2014 NOAA Saltonstall-Kennedy grant program (Award No. NA14NMF4270027), and jointly funded by The Nature Conservancy, Massachusetts Division of Marine Fisheries, and the Cabot Family Charitable Foundation. Funding for 2016 SoundTrap data was provided by NOAA’s Ocean Acoustics Program (4 Sanctuaries Project)