Joint pricing and stocking decisions for a newsvendor problem with loss aversion and reference point effect

R Qiu, Y Yu, M Sun - Managerial and decision economics, 2021 - Wiley Online Library
This study investigates the joint pricing and stocking decisions for a loss‐averse retailer with
reference point effect under stochastic demand. By solving an expected utility maximization …

Ranking of factors affecting pricing in construction projects by intuitionistic fuzzy analytic hierarchy process with ordered pairs

S Çebi, C Kahraman, S Onar… - Notes on Intuitionistic …, 2024 - avesis.yildiz.edu.tr
The construction industry faces various challenges related to uncertainties in project bids
and unstable pricing. These challenges include situations where uncertainties in bid …

A real options approach to optimal bidding in construction projects considering volume uncertainty

JA Ribeiro, PJ Pereira… - Managerial and Decision …, 2020 - Wiley Online Library
Building on the numerical solution by Ribeiro et al.(2108), this paper proposes a model to
assess the impact of volume uncertainty on construction projects' value and on the optimal …

Bidding Competition and Supply Chain Risk in Soybean Exports

SC Bisbee - 2018 - search.proquest.com
Commodity trading at both domestic and international levels involves many sources of
supply chain risk and uncertainty. Risk management techniques are utilized by industry …

Volume Uncertainty in Construction Projects: A Real Options Approach

JA Ribeiro, PJ Pereira, E Brandao - Available at SSRN 2266409, 2013 - papers.ssrn.com
The levels of uncertainty surrounding construction projects are particularly high and
construction managers should be aware that adequately managing the effects of the …

[PDF][PDF] Optimal Bidding in Construction Projects Under Volume Uncertainty

JA Ribeiro, PJ Pereira, EM Brandão - researchgate.net
Building on Ribeiro et al.(2018) numerical solution, this paper proposes a model to assess
the impact of volume uncertainty on construction projects' value and on the optimal bidding …