The Illusion of Intangibles: Why Immeasurables Aren't

Hubbard, Douglas W.

doi:10.1002/9781118983836.ch3

Cited by 23 publications

(41 citation statements)

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“…Governments mandate that corporations carrying out projects produce strategies, action plans and performance metrics that will contribute to the host country's long‐term growth. In the face of uncertainty, the most vital components are practical experience and collecting feedback, that is, checking the outcomes for the analysis of judgements and evaluations (Hubbard, 2014). So, in order to have a better management of sustainable construction projects, initial planning, accurate estimation, correct data decrease the level of uncertainty (Sadler‐Smith, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

The influence of industrial attitudes and behaviours in adopting sustainable construction practices

Maqbool

Saiba

Altuwaim

et al. 2022

Sustainable Development

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Considering the rapid environmental changes, the transitions to sustainable practices in the construction industry is vital now. Though the developed construction industries have already made efforts to switching to more sustainable and environment friendly practices, the developing countries are still lacking it. This research was organised to understand the role of project management practises and integrated methods in the sustainable development in the developing countries, for looking on how such practices can help these construction sectors become sustainable. The moderation effect of industrial attitudes and behaviours on sustainable construction was also conducted to understand the intermediary impacts. A survey based on the snowball sample of 208 construction professionals in Ghana was conducted to determine the impact of project management practises and integrated methods on sustainable construction. Research model was tested by employing bivariate correlation and multiple hierarchical regression analysis techniques, to establish the interrelationships among the project management practices, integrated approaches, industrial attitudes and behaviours, and sustainable construction and to explain these constructs in terms of their common underlying dimensions. The findings highlight that the project management practices and integrated approaches are significantly impacting on the sustainable construction practices in terms of BIM, Digital Twin, LEED, and BREEAM.Whereas the industrial attitudes and behaviours were found to be affecting the project management practises and integrated approaches through moderating role on sustainable construction. The study was concluded by suggesting the importance of sustainable construction practices and shaping industrial attitudes and behaviours towards such practices in the developing construction industries.

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Section: Literature Reviewmentioning

confidence: 99%

The influence of industrial attitudes and behaviours in adopting sustainable construction practices

Maqbool

Saiba

Altuwaim

et al. 2022

Sustainable Development

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“…We are arguing for evaluation, or measurement, to move the "Bayesian" view of decision tools a bit closer to the underlying reality. Recall that measurement concerns the reduction, not elimination, of uncertainty [101][102][103][104] . Decision tool evaluation makes practical sense if the improvement in decision performance from lower uncertainty is worth more than the cost of measurement 101 .…”

Section: [H2] Decision Tool Evaluationmentioning

confidence: 99%

“…Recall that measurement concerns the reduction, not elimination, of uncertainty [101][102][103][104] . Decision tool evaluation makes practical sense if the improvement in decision performance from lower uncertainty is worth more than the cost of measurement 101 . Error!…”

Section: [H2] Decision Tool Evaluationmentioning

confidence: 99%

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Predictive validity in drug discovery: what it is, why it matters and how to improve it

Scannell

Bosley²,

Hickman³

et al. 2022

Nat Rev Drug Discov

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Successful drug discovery is like finding oases of safety and efficacy in chemical and biological deserts. Screens in disease models, and other decision tools used in drug research and development (R&D), point towards oases when they score therapeutic candidates in a way that correlates with clinical utility in humans. Otherwise, they probably lead in the wrong direction. This line of thought can be quantified by using decision theory, in which 'predictive validity' is the correlation coefficient between the output of a decision tool and clinical utility across therapeutic candidates. Analyses based on this approach reveal that the detectability of good candidates is extremely sensitive to predictive validity, because the deserts are big and oases small. Both history and decision theory suggest that predictive validity is under-managed in drug R&D, not least because it is so hard to measure before projects succeed or fail later in the process. This article explains the influence of predictive validity on R&D productivity and discusses methods to evaluate and improve it, with the aim of supporting the application of more effective decision tools and catalysing investment in their creation.

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“…This fosters service providers to reconfigure their IT services in order to minimize IT costs, and consequently to maximize revenues. However, this represents a straightforward, but rather naïve evaluation criterion that does not consider business aspects such as risk management and other intangibles, thus enforcing an excessively shallow business-level perspective [12,13].…”

Section: Business-driven Service Placementmentioning

confidence: 99%

Business-driven service placement for highly dynamic and distributed cloud systems

Tortonesi

2018

IEEE Trans. Cloud Comput.

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The emergence of large-scale Cloud computing environments characterized by dynamic resource pricing schemes enables valuable cost saving opportunities for service providers that could dynamically decide to change the placement of their IT service components in order to reduce their bills. However, that requires new management solutions to dynamically reconfigure IT service components placement, in order to respond to pricing changes and to control and guarantee the high-level business objectives defined by service providers. This paper proposes a novel approach based on Genetic Algorithm (GA) optimization techniques for adaptive business-driven IT service component reconfiguration. Our proposal allows to evaluate the performance of complex IT services deployments over large-scale Cloud systems in a wide range of alternative configurations, by granting prompt transitions to more convenient placements as business values and costs change dynamically. We deeply assessed our framework in a realistic scenario that consists of 2-tier service architectures with real-world pricing schemes. Collected results show the effectiveness and quantify the overhead of our solution. The results also demonstrate the suitability of business-driven IT management techniques for service components placement and reconfiguration in highly dynamic and distributed Cloud systems

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The Illusion of Intangibles: Why Immeasurables Aren't

Cited by 23 publications

References 0 publications

The influence of industrial attitudes and behaviours in adopting sustainable construction practices

The influence of industrial attitudes and behaviours in adopting sustainable construction practices

Predictive validity in drug discovery: what it is, why it matters and how to improve it

Business-driven service placement for highly dynamic and distributed cloud systems

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