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Optimizing Stock-Kee** Unit Selection for Promotional Display Space at Grocery Retailers
Promotional displays, such as end-of-aisle displays, provide a stimulus for discretionary and incremental sales at grocery stores, offering a... -
A machine-learning-based framework for contractor selection and order allocation in public construction projects considering sustainability, risk, and safety
Effective contractor selection is crucial for successful execution of construction projects. In contrast to the conventional lowest-bid approach...
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Selection of the Company’s Strategy Using Grey Stratified Decisions Model
Strategic management is a complex information and decision-making process which aims at adjusting the organization to changing market conditions. On... -
Heterogeneities among credit risk parameter distributions: the modality defines the best estimation method
Comparative studies investigating the estimation accuracy of statistical methods often arrive at different conclusions. Therefore, it remains unclear...
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Exploration of big-BAF Sampling Potential for Volume Estimation in Abies borisii-regis Matff. Forest Stands
A reliable sampling design is essential for the accurate estimation of the forest biometric characteristics. Wood stock estimation at the level of a...
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Optimal selection and investment-allocation decisions for sustainable supplier development practices
Organization’s sustainability performance is influenced by its suppliers’ sustainability performance. This relationship makes sustainable supplier...
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Online Portfolio Selection with Long-Short Term Forecasting
This work considers an online portfolio selection problem with reward and risk criteria. We use short-term historical data to forecast the reward...
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Machine learning and optimization based decision-support tool for seed variety selection
Every year agribusinesses develop and market new seed varieties with traits desirable for different planting environments. When agribusinesses...
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“A multi-tier sustainable food supplier selection model under uncertainty”
Supplier selection in food supply chains (FSCs) is not much explored due to the inherent difficulties, complexities and nature of food industry. Food...
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Stable Variable Selection for High-Dimensional Genomic Data with Strong Correlations
High-dimensional genomic data studies are often found to exhibit strong correlations, which results in instability and inconsistency in the estimates...
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Natural selection or strategic adaptation? Entrepreneurial digital technologies and survival of the species
Research on firm survival has primarily focused on input and outcomes. We shift the conversation by performing a systematic analysis of moderating...
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Practice-relevant model validation: distributional parameter risk analysis in financial model risk management
An objective of model validation within organisations is to provide guidance on model selection decisions that balance the operational effectiveness...
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A hybrid estimation of distribution algorithm for the offline 2D variable-sized bin packing problem
In this paper we present an evolutionary heuristic for the offline two-dimensional variable-sized bin packing problem. In this problem we have to...
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Adverse selection in iBuyer business models—don’t buy lemons!
The rise of instant buyer (iBuyer) businesses in the past years has made automated valuation models (AVMs) an important part of the property market....
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Selection bias in audit firm tenure research
Whether audit firm tenure affects audit quality is a question of longstanding regulatory and scholarly interest. While this question centers on how...
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Index-tracking portfolio selection with background risk
We develop an index tracking portfolio model while incorporating “background risks” that households cannot insure against or avoid. Examples of such...
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VR digital twin of office space with computer vision-based estimation of room occupancy and power consumption
In the past years, energy consumption has increased rapidly due to many factors, including the rise in technology adoption. This has many downfalls,...
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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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Mean–variance vs trend–risk portfolio selection
In this paper, we provide an alternative trend (time)-dependent risk measure to Ruttiens’ accrued returns variability (Ruttiens in Comput Econ...
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Gender wage gaps in Ghana: a comparison across different selection models
The wage of an individual is observed only when he/she is employed. However, getting employment requires two decisions. First, an individual has to...