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Items where Division is "Supply Chain and Business Technology Management" and Year is 2023

Group by: Authors | Item Type | No Grouping
Jump to: B | J | K | M | O | R | V | W | Z
Number of items: 11.

B

Bishnoi, Rakesh (2023) Investigating the impact of feedback intervention and social facilitation on users’ satisfaction, productivity and mindfulness. Masters thesis, Concordia University.

J

Javvadi, Gunin Ruthwik (2023) Bankruptcy prediction: A comparison of data mining models on unbalanced data and effects of sampling. Masters thesis, Concordia University.

K

Karam, Mario (2023) Prioritizing and Mitigating the Supply Chain Risks of a Dairy Company in an Unstable Economic Environment. Masters thesis, Concordia University.

M

Ma, Truong-Son (2023) Beyond the First Touchpoint: How Initial Engagement, Marketing Communication, and Store Proximity Shape Multichannel Purchasing. Masters thesis, Concordia University.

Macdonald, Dylan (2023) Logistic Postponement as a Risk Management Tool: A Real Options Valuation (ROV) Approach to Evaluate the Effectiveness of a Logistic Postponement Strategy in Mitigating the Demand Variability Risk in Global Supply Chains. Masters thesis, Concordia University.

Miler, Agata (2023) On-Premise Service Bundling and E-commerce Service Bundling: Implications for Warehouse Club Foot Traffic. Masters thesis, Concordia University.

O

Oyegunle, Omotayo (2023) The Impact of Green Metrics on Inventory Transshipment. Masters thesis, Concordia University.

R

Rajavelloo, Sarvesh Kumar (2023) Machine Learning Approaches for Aftermarket Demand Forecasting: Tackling Intermittent Time Series Challenges. Masters thesis, Concordia University.

V

Valverde, Raul, Gavrilova, E, Churganov, O and Korotkov, Konstantin (2023) Influence of Enhanced Amino Acid Compositions on Human Cognitive Functioning. HSOA Journal of Alternative, Complementary & Integrative Medicine, 9 .

W

Wang, Yixuan (2023) Peel Pack Planning Using Clustering and Decomposition Approach. Masters thesis, Concordia University.

Z

Zhang, Xuanjie (2023) Performance of machine learning methods in predicting trend in price and trading volume of cryptocurrencies. Masters thesis, Concordia University.

This list was generated on Sun Jun 30 03:04:55 2024 EDT.
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