Pedro Amorim
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TRUST-AI Transparent, Reliable and Unbiased Smart Tool for Artificial Intelligence
Open Date: 2020-10-01
Close Date: 2024-09-30
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FinTech
Open Date: 2019-01-01
Close Date: 2020-07-01
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TecFel
Open Date: 2017-04-01
Close Date: 2021-04-01
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EasyFlow - Operações logisticas e cientes e colaborativas para maior sustentabilidade das cadeias de abastecimento forestais
Open Date: 2016-01-01
Close Date: 2020-01-01
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DM4Manufacturing { Aligning Manufacturing Decision Making with Advanced Manufacturing Technologies
Open Date: 2016-01-01
Close Date: 2020-01-01
Articles (12)
Retailers face increasing competitive pressure to determine how best to deliver products purchased online to the end customer. Grocery retailers often require attended home delivery where the customer must be present to receive the delivery. For attended home delivery to function, the retailer and customer must agree on a delivery time slot that works for both parties. Using online data from a grocery retailer, we observe customer preferences for three delivery service attributes associated with each time slot: speed, precision, and timing. We define speed as the expected time between the placement of an order and its delivery, precision as the duration of the offered time slot, and timing as the availability of choices across times of the day and days of the week. We show that customers not only value speed as an attribute of delivery service but that precision and timing are also key drivers of the customer’s time slot selection process. We also observe substantial customer heterogeneity in the willingness of customers to pay for time slots. Customers that differ in their loyalty to the retailer, basket value, basket size, and basket composition exhibit distinct differences in their willingness to pay. We show that retailers with the capability to tailor their time slot offerings to specific customer segments have the potential to generate approximately 9% more shipping revenue than those who cannot. Our findings inform practitioners seeking to design competitive fulfillment strategies and academics modeling customer behavior in the attended home delivery context. This paper was accepted by Vishal Gaur, operations management. Funding: This work was supported by the Fundação para a Ciência e a Tecnologia [PTDC/EME-SIS/31908/2017]. Supplemental Material: The data files are available at https://doi.org/10.1287/mnsc.2020.01274 .
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2024
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2023
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2023
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2022
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2021
Collaborators (14)
Martijn Mes
Full Professor
University of Twente
Ana Camanho
Associate Professor
Universidade do Porto Faculdade de Engenharia
Sara Martins
University of Porto
Giovanna D'Inverno
Tenure-track assistant professor
Università degli Studi di Pisa Dipartimento di Economia e Management
Elsa Silva
University of Minho
Gonçalo Figueira
Professor
Faculty of Engineering of the University of Porto
Laura Wagner
Universidad de Navarra
Victor Martínez-de-Albéniz
Universidad de Navarra
Maria João
Invited Professor
Universidade do Porto Faculdade de Engenharia
Martin Grunow
Professor
Technical University of Munich
Jan Fransoo
Professor of Operations and Logistics Management
Tilburg University
Willem van Jaarsveld
Eindhoven University of Technology
Eduardo Lalla-Ruiz
University of Twente
Bernardo Almada-Lobo
University of Porto
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