Results 21 to 30 of about 438,636 (298)

Supply chain uncertainty : a review and theoretical foundation for future research [PDF]

, 2012
Supply-chain uncertainty is an issue with which every practising manager wrestles, deriving from the increasing complexity of global supply networks. Taking a broad view of supply-chain uncertainty (incorporating supply-chain risk), this paper seeks to ...
L.C. Hendry, Stevenson, Mark, Simangunsong, Eliot Sation, M. Stevenson, Hendry, Linda, E. Simangunsong   +5 more
core   +1 more source

The uncertainty of valuation [PDF]

, 2003
Valuation is often said to be “an art not a science” but this relates to the techniques employed to calculate value not to the underlying concept itself. Valuation is the process of estimating price in the market place.
Gabrielli, L., GABRIELLI, Laura, L. Gabrielli, N. French, French, N.   +4 more
core   +1 more source

Data uncertainty assessment and information flow analysis for product-service systems in a library case study [PDF]

, 2010
The provision of service is increasingly becoming a key driver for delivering customer value. This emphasis on service provision is promoted by approaches such as Product-Service Systems (PSSs) that deliver value in use based on integrated products ...
Alcock, Jeffrey R., Tiwari, Ashutosh, Shehab, Essam, John Ahmet Erkoyuncu, Erkoyuncu, John Ahmet, Roy, Rajkumar, Essam Shehab, Jeffrey R. Alcock, Ashutosh Tiwari, Rajkumar Roy, Christopher Durugbo, Durugbo, Christopher   +11 more
core   +1 more source

Characterising uncertainty in risk assessments for biological control: using case studies from New Zealand to inform future research

BioControl, 2023
AbstractAreas of uncertainty in the assessment of risks and benefits in applications for new biological control agents submitted to the regulator for proposed introduction into New Zealand were identified. This was done with the aim of informing future research priorities which might be able to address and reduce these areas of uncertainty to assist ...
B. I. P. Barratt, E. D. Meenken, T. M. Withers   +2 more
openaire   +1 more source

Quantifying and reducing statistical uncertainty in sample-based health program costing studies in low- and middle-income countries

SAGE Open Medicine, 2018
Objectives: In many low- and middle-income countries, the costs of delivering public health programs such as for HIV/AIDS, nutrition, and immunization are not routinely tracked.
Claudia L Rivera-Rodriguez, Stephen Resch, Sebastien Haneuse   +2 more
doaj   +1 more source

Task-Oriented Active Sensing via Action Entropy Minimization

IEEE Access, 2019
In active sensing, sensing actions are typically chosen to minimize the uncertainty of the state according to some information-theoretic measure such as entropy, conditional entropy, mutual information, etc.
Tipakorn Greigarn, Michael S. Branicky, M. Cenk Cavusoglu   +2 more
doaj   +1 more source

Evaluation of uncertainty visualization techniques for information fusion [PDF]

, 2007
This paper highlights the importance of uncertainty visualization in information fusion, reviews general methods of representing uncertainty and presents perceptual and cognitive principles from Tufte, Chambers and Bertin as well as users experiments ...
Maria Riveiro, Riveiro, Maria,
core   +1 more source

Magnitude and Uncertainty of Nitrous Oxide Emissions From North America Based on Bottom‐Up and Top‐Down Approaches: Informing Future Research and National Inventories

Geophysical Research Letters, 2021
Abstract We synthesized N 2 O emissions over North America using 17 bottom‐up (BU) estimates from 1980–2016 and five top‐down (TD) estimates from 1998 to 2016. The BU‐based total emission shows a slight increase owing to U.S.
Rongting Xu, Hanqin Tian, Naiqing Pan, Rona Louise Thompson, Josep G. Canadell, Eric A. Davidson, Cynthia Nevison, Wilfried Winiwarter, Hao Shi, Shufen Pan, Jinfeng Chang, Philippe Ciais, Shree R.S. Dangal, Akihiko Ito, Robert B. Jackson, Fortunat Joos, Ronny Lauerwald, Sebastian Lienert, Taylor Maavara, Dylan B. Millet, Peter A Raymond, Pierre Regnier, Francesco Nicola Tubiello, Nicolas Vuichard, Kelley C. Wells, Chris Wilson, Jia Yang, Yuanzhi Yao, Sönke Zaehle, Feng Zhou   +29 more
openaire   +8 more sources

Uncertainty decomposed: Understanding levels of contingency to enable effective decision-making [PDF]

Strategic Management
Background: Uncertainty is a common challenge in managerial decision-making, especially when it comes to predicting future states, establishing cause-effect relationships, and having knowledge about relevant variables.
Grüner Sebastian L.
doaj   +1 more source

How Complexity and Uncertainty Grew with Algorithmic Trading

Entropy, 2020
The machine-learning paradigm promises traders to reduce uncertainty through better predictions done by ever more complex algorithms. We ask about detectable results of both uncertainty and complexity at the aggregated market level.
Martin Hilbert, David Darmon
doaj   +1 more source