The Experts below are selected from a list of 1353 Experts worldwide ranked by ideXlab platform
Jacek Zabawa - One of the best experts on this subject based on the ideXlab platform.
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data driven simulation modeling of the Checkout Process in supermarkets insights for decision support in retail operations
IEEE Access, 2020Co-Authors: Tomasz Antczak, Rafal Weron, Jacek ZabawaAbstract:We build a realistic agent-based model for simulating customer decisions of picking a Checkout line at a supermarket that is calibrated to actual point of sale (POS) data from a major European retail chain. It is implemented on the open-access NetLogo simulation platform and is freely available to academics and practitioners interested in testing how different Checkout zone layouts, as well as queue management and feedback strategies impact the overall efficiency of the Checkout Process. In particular, we show that when customers pick a line by minimizing the expected waiting time, not only is this choice beneficial for the customers themselves, as it leads to shorter waiting times in queues, but also for the supermarket management, since it yields shorter working times of the cashiers. As such, we provide guidance as to the feedback that could be provided to customers entering the Checkout zone.
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data driven simulation modeling of the Checkout Process in supermarkets insights for decision support in retail operations
Research Papers in Economics, 2020Co-Authors: Tomasz Antczak, Rafal Weron, Jacek ZabawaAbstract:We build a realistic agent-based model for simulating customer decisions of picking lines in supermarkets. The model is calibrated to actual point of sale (POS) data from three supermarkets of one of major European retail chains and is implemented in the open-access NetLogo simulation platform. The model can provide insights as to the impact of individual customer decisions of picking lines on the overall efficiency of the Checkout Process. In particular, we show that when customers pick a line by minimizing the expected waiting time, not only is this choice beneficial for the customers themselves, as it leads to shorter waiting times in queues, but also for the supermarket management, since it yields shorter working times of the cashiers.
Tomasz Antczak - One of the best experts on this subject based on the ideXlab platform.
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data driven simulation modeling of the Checkout Process in supermarkets insights for decision support in retail operations
IEEE Access, 2020Co-Authors: Tomasz Antczak, Rafal Weron, Jacek ZabawaAbstract:We build a realistic agent-based model for simulating customer decisions of picking a Checkout line at a supermarket that is calibrated to actual point of sale (POS) data from a major European retail chain. It is implemented on the open-access NetLogo simulation platform and is freely available to academics and practitioners interested in testing how different Checkout zone layouts, as well as queue management and feedback strategies impact the overall efficiency of the Checkout Process. In particular, we show that when customers pick a line by minimizing the expected waiting time, not only is this choice beneficial for the customers themselves, as it leads to shorter waiting times in queues, but also for the supermarket management, since it yields shorter working times of the cashiers. As such, we provide guidance as to the feedback that could be provided to customers entering the Checkout zone.
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data driven simulation modeling of the Checkout Process in supermarkets insights for decision support in retail operations
Research Papers in Economics, 2020Co-Authors: Tomasz Antczak, Rafal Weron, Jacek ZabawaAbstract:We build a realistic agent-based model for simulating customer decisions of picking lines in supermarkets. The model is calibrated to actual point of sale (POS) data from three supermarkets of one of major European retail chains and is implemented in the open-access NetLogo simulation platform. The model can provide insights as to the impact of individual customer decisions of picking lines on the overall efficiency of the Checkout Process. In particular, we show that when customers pick a line by minimizing the expected waiting time, not only is this choice beneficial for the customers themselves, as it leads to shorter waiting times in queues, but also for the supermarket management, since it yields shorter working times of the cashiers.
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Point of Sale (POS) Data from a Supermarket: Transactions and Cashier Operations
'MDPI AG', 2019Co-Authors: Tomasz Antczak, Rafał WeronAbstract:As queues in supermarkets seem to be inevitable, researchers try to find solutions that can improve and speed up the Checkout Process. This, however, requires access to real-world data for developing and validating models. With this objective in mind, we have prepared and made publicly available high-frequency datasets containing nearly six weeks of actual transactions and cashier operations from a grocery supermarket belonging to one of the major European retail chains. This dataset can provide insights on how the intensity and duration of Checkout operations changes throughout the day and week
George Samaras - One of the best experts on this subject based on the ideXlab platform.
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an individual differences approach in adaptive waving of user Checkout Process in retail ecommerce
International Conference on HCI in Business, 2014Co-Authors: Marios Belk, Panagiotis Germanakos, Stavros Asimakopoulos, Panayiotis Andreou, Constantinos Mourlas, George Spanoudis, George SamarasAbstract:Developing a usable Checkout Process is pivotal for e-business success. However, recent research has shown that users frequently abandon their shopping carts and lacking a clear direction through the Process. In this context, aiming to improve the usability and overall user experience of Checkout Processes in ecommerce Web-sites, this paper reports on a study, primarily inspired by concepts driven from theories of individual differences in cognitive Processing, and considers content presentation and navigability as a measure of Checkout usability and task quality. Concurrent think-aloud, short interviews and questionnaires were conducted with a convenient sample of 15 users to understand the preference of a particular type of Checkout Process, and users’ task completion time while interacting with ecommerce Web-sites for a set of different Checkout scenarios. Preliminary results revealed that cognitive styles have an effect on users’ task completion and Checkout Process preference.
Rafal Weron - One of the best experts on this subject based on the ideXlab platform.
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data driven simulation modeling of the Checkout Process in supermarkets insights for decision support in retail operations
IEEE Access, 2020Co-Authors: Tomasz Antczak, Rafal Weron, Jacek ZabawaAbstract:We build a realistic agent-based model for simulating customer decisions of picking a Checkout line at a supermarket that is calibrated to actual point of sale (POS) data from a major European retail chain. It is implemented on the open-access NetLogo simulation platform and is freely available to academics and practitioners interested in testing how different Checkout zone layouts, as well as queue management and feedback strategies impact the overall efficiency of the Checkout Process. In particular, we show that when customers pick a line by minimizing the expected waiting time, not only is this choice beneficial for the customers themselves, as it leads to shorter waiting times in queues, but also for the supermarket management, since it yields shorter working times of the cashiers. As such, we provide guidance as to the feedback that could be provided to customers entering the Checkout zone.
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data driven simulation modeling of the Checkout Process in supermarkets insights for decision support in retail operations
Research Papers in Economics, 2020Co-Authors: Tomasz Antczak, Rafal Weron, Jacek ZabawaAbstract:We build a realistic agent-based model for simulating customer decisions of picking lines in supermarkets. The model is calibrated to actual point of sale (POS) data from three supermarkets of one of major European retail chains and is implemented in the open-access NetLogo simulation platform. The model can provide insights as to the impact of individual customer decisions of picking lines on the overall efficiency of the Checkout Process. In particular, we show that when customers pick a line by minimizing the expected waiting time, not only is this choice beneficial for the customers themselves, as it leads to shorter waiting times in queues, but also for the supermarket management, since it yields shorter working times of the cashiers.
Marios Belk - One of the best experts on this subject based on the ideXlab platform.
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an individual differences approach in adaptive waving of user Checkout Process in retail ecommerce
International Conference on HCI in Business, 2014Co-Authors: Marios Belk, Panagiotis Germanakos, Stavros Asimakopoulos, Panayiotis Andreou, Constantinos Mourlas, George Spanoudis, George SamarasAbstract:Developing a usable Checkout Process is pivotal for e-business success. However, recent research has shown that users frequently abandon their shopping carts and lacking a clear direction through the Process. In this context, aiming to improve the usability and overall user experience of Checkout Processes in ecommerce Web-sites, this paper reports on a study, primarily inspired by concepts driven from theories of individual differences in cognitive Processing, and considers content presentation and navigability as a measure of Checkout usability and task quality. Concurrent think-aloud, short interviews and questionnaires were conducted with a convenient sample of 15 users to understand the preference of a particular type of Checkout Process, and users’ task completion time while interacting with ecommerce Web-sites for a set of different Checkout scenarios. Preliminary results revealed that cognitive styles have an effect on users’ task completion and Checkout Process preference.