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Quantifying and explaining machine learning uncertainty in predictive process monitoring: an operations research perspective
In the rapidly evolving landscape of manufacturing, the ability to make accurate predictions is crucial for optimizing processes. This study...
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A data-driven robust decision-making model for configuring a resilient and responsive relief supply chain under mixed uncertainty
The crucial role of the Relief Supply Chains (RSCs) in the response phase of disaster management is undeniable. However, the literature shows that...
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Uncertainty and fluctuation in crude oil price: evidence from machine learning models
This study comprehensively investigates the predictability of uncertainty indices for oil market volatility, employing multiple machine learning...
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Behavioral Biases in the Uncertainty Quantification Process
Humans play important roles in the process of quantifying uncertainty. The participation of humans in this important exercise opens the process to... -
Robust, extended goal programming with uncertainty sets: an application to a multi-objective portfolio selection problem leveraging DEA
This study presents a two-phase approach of Data Envelopment Analysis (DEA) and Goal Programming (GP) for portfolio selection, representing a...
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Transaction cost economics and mutual legal uncertainty to build commitment
The central premise of transaction cost economics (TCE) is that parties select governance mechanisms to mitigate the hazards of opportunism (or...
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Uncertainty Analysis in Group Decisions through Interval Ordinal Priority Approach
In multiple criteria decision-making (MCDM) problems, ranking alternatives is usually the end. However, in real life, it is rarely an end in itself...
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Negative Effects of Uncertainty (on Decision-Making)
Explains the main harms that uncertainty can do. Explains which uncertainties are more likely to produce those effects and what causes them.... -
Measures of Uncertainty (in Decision-Making)
Applies the logic of ‘in order to (try to) manage something, first it must be measured’. Argues the importance of measuring the various... -
Software project scheduling under activity duration uncertainty
The main resources in software projects are human resources equipped with various skills, which makes software development a typical...
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Design of sustainable perishable food supply chain network under uncertainty
Managing a perishable food supply chain is a challenging task because of the short lifetime of the product and the uncertainty of demand. Perishable...
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Hub Location Models Under Uncertainty
In this chapter, we review models and methods that incorporate uncertainty in hub location problems. In particular, we present stochastic and robust... -
When nudges promote neutral behavior: an experimental study of managerial decisions under risk and uncertainty
Managers often make decisions in situations involving risk and uncertainty. To ensure the prosperity of the company, neutral behavior is desirable in...
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Resilience, Risk and Uncertainty in Entrepreneurial Business Ventures
Being resilient is an important business skill that is critical in times of uncertainty and change. This chapter focuses on how firms can deal with... -
Balanced performance assessment under uncertainty: an integrated CSW-DEA and balanced scorecard (BSC)
Data Envelopment Analysis (DEA) is a mathematical programming model that calculates the relative efficiency of homogenous Decision Making Units...
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Wind farm layout optimization under uncertainty
Wind power is a major source of green energy production. However, the energy generation of wind power is highly affected by uncertainty. Here, we...
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Risk and Uncertainty
All companies are subject to risk. When it comes to project appraisal, we can deal with the fact that there is uncertainty regarding future cashflows... -
Managing Uncertainty
This chapter examines the issue of how to manage uncertainty and risk in the process of innovation. By its very nature, innovation is inherently... -
How to account for tax planning and its uncertainty in firm valuation?
I compare two approaches from the recent literature on how to account for tax planning and its uncertainty in a valuation framework [the separate...
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Uncertainty in the Age of Digital Transformation
Digital transformation (DX) exerts multifaceted influences on organizational members. To explore these complex dynamics, the studies reported in this...