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Publications
Publications (11)
This paper investigates the ride-acceptance behavior of drivers on ride-sourcing platforms, considering drivers’ freedom to accept or reject ride requests. Understanding drivers’ preferences is vital for ride-sourcing services to improve the matching of requests to drivers. To this end, we obtained a unique dataset from a major ride-sourcing platfo...
We consider dynamic assortment planning and capacity allocation over multiple periods, where the retailer learns the demand online and actively based on sales data. Our focus is on substitutable products inside a category, where customers' preferences follow multinomial logit, which is unknown to the retailer. This setting, unlike the existing styl...
This study develops an algorithm to determine the pricing policy and matching rate for ridehailing platforms to maximize their profitability by considering: (a) drivers’ decisions to accept or decline requests, (b) the spatio-temporal characteristics of networks, and (c) dynamic fleet size.
We take into account the impact of pricing policy on deman...
In this research, we examine the impact of a negative demand disruption on trade promotions strategy, where suppliers offer discounted prices to online supply chain retailers. To analyze the various factors that affect trade promotion strategies, we develop a Stackelberg game model to determine the optimal pricing for both manufacturers and retaile...
The sharing economy, defined by peer-to-peer interactions through a platform, has been gaining ground in recent years. In this study, we discuss the relative importance of customers' perceived motives to participate in the two most common models of the sharing economy: access-based consumption and ownership-transfer. We focus on taxi-hailing and po...
Marketing managers concern that Word-of-Mouth (WOM) can affect the efficiency of sales promotion policy. Sales promotion might also amplify the strength of WOM which further complicates decision-making. In this study, we deploy an agent-based simulation optimization framework to find an efficient sales promotion plan in the presence of WOM for laun...
Existing revenue management methods and heuristics rely on specific demand-side assumptions such as customers' independent decisions over time. We relax the assumption that purchasing decisions depend only on the current price and are independent of previous prices of the same or similar products. On the contrary, we assume that customers' decision...
In this article, we address the multiple-night stay hotel revenue management. Using a decomposition method, we transform the multiple-night stay revenue management into a single night. To this end, we define effective arrival rate for each night that is derived from all the booking requests that contain the night, excluding the possible ‘customer l...