Faculty Publications (Bibliographic)Bibliographic Collection of IIMA Facultyhttp://hdl.handle.net/11718/119812024-03-28T13:53:46Z2024-03-28T13:53:46ZAspects of tourist promotion: management of activityDayal, Ishwarhttp://hdl.handle.net/11718/31762017-07-31T04:44:53ZAspects of tourist promotion: management of activity
Dayal, Ishwar
Organizational Development : An Interim Balance Sheet a CommentDayal, Ishwarhttp://hdl.handle.net/11718/32552018-10-24T12:39:39ZOrganizational Development : An Interim Balance Sheet a Comment
Dayal, Ishwar
Integrated inventory replenishment and online demand allocation decisions for an omnichannel retailer with ship-from-store strategyBansal, VishalBisi, ArnabRoy, DebjitVenkateshan, Prahaladhttp://hdl.handle.net/11718/272642024-03-20T09:59:26Z2024-02-28T00:00:00ZIntegrated inventory replenishment and online demand allocation decisions for an omnichannel retailer with ship-from-store strategy
Bansal, Vishal; Bisi, Arnab; Roy, Debjit; Venkateshan, Prahalad
Retailing has changed dramatically from single-channel brick-and-mortar stores to multi-channel and omnichannel retailers over the last few decades. Omnichannel retailers employ different strategies to integrate
online and offline sales channels as well as order fulfillment processes. Among these strategies, the ship-fromstore is the most popular and widely accepted among retailers. It enables retailers to use inventory from
store locations to fulfill online demand. An omnichannel retailer with a distribution center and a retail store
has to make important, interlinked decisions — (1) how much inventory to keep at the retail store, and (2)
where to fulfill the online demand from and how much. In this work, we model the integrated inventory
replenishment and online demand allocation decisions for an omnichannel retailer employing the ship-fromstore strategy. We analyze this problem for both single-period and multi-period settings. We extend the
analytical framework of the single-period problem by providing a finite-horizon Markov decision process (MDP)
formulation for the multi-period problem. Our findings suggest that for a single-period setting, decentralized
inventory replenishment and demand allocation system maximizes the profit of the omnichannel retailer for
low values of the incentive for fulfilling the online demand through store inventory, while for sufficiently high
values of the incentive, a pooled system provides the optimal profit. An increment in the discount factor has the
same effect on the optimal decisions in a multi-period setting as that of salvage value in a single-period setting
for a given value of the incentive for the ship-from-store strategy. We also provide several extensions (such
as cross selling, endogenous and correlated demand streams) of our analytical framework for the multi-period
problem.
2024-02-28T00:00:00ZA Bayesian nonparametric approach for multiple mediators with applications in mental health studiesRoy, SamratDaniels, Michael JRoy, Jasonhttp://hdl.handle.net/11718/272632024-03-20T09:47:36Z2024-02-09T00:00:00ZA Bayesian nonparametric approach for multiple mediators with applications in mental health studies
Roy, Samrat; Daniels, Michael J; Roy, Jason
Mediation analysis with contemporaneously observed multiple mediators is a significant area of causal inference. Recent approachesfor multiple mediators are often based on parametric models and thus may suffer
from model misspecification. Also, much of the existing literature either only allow estimation of the joint
mediation effect or estimate the joint mediation effect just as the sum of individual mediator effects, ignoring
the interaction among the mediators. In this article, we propose a novel Bayesian nonparametric method
that overcomes the two aforementioned drawbacks. We model the joint distribution of the observed data
(outcome, mediators, treatment, and confounders) flexibly using an enriched Dirichlet process mixture
with three levels. We use standardization (g-computation) to compute all possible mediation effects,
including pairwise and all other possible interaction among the mediators. We thoroughly explore our
method via simulations and apply our method to a mental health data from Wisconsin Longitudinal Study,
where we estimate how the effect of births from unintended pregnancies on later life mental depression
(CES-D) among the mothers is mediated through lack of self-acceptance and autonomy, employment
instability, lack of social participation, and increased family stress. Our method identified significant
individual mediators, along with some significant pairwise effects.
2024-02-09T00:00:00Z