Digital Commerce and the Digitally Connected Enterprise
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Paper Type
Short
Paper Number
1991
Description
Multimodal mobility platforms (MMPs) bundle various mobility services and aim to support travelers in identifying potential travel routes. However, MMPs derive information from a wide space of solutions that may not lead to the presentation of best suited options. In this short paper, we present an ongoing design science research project on how to design MMPs in order to improve travelers’ decision making. In the relevance cycle, and based on interviews, we identify specific challenges in the usage process of MMPs. For instance, travelers do not comprehend how the list of options are composed due to the platforms’ black box character, individual trade-offs between preferences (e.g. time and costs) are not considered, and travelers with special needs may not find all filter options they require. Building on the identified challenges and knowledge base in literature, we derive meta-requirements and corresponding design principles in order to improve decision making in MMPs.
Recommended Citation
Meske, Christian; Bunde, Enrico; and Ehmke, Jan Fabian, "Improving Customers’ Decision Making on Blackboxed Multimodal Mobility Platforms – A Design Science Approach" (2020). ICIS 2020 Proceedings. 12.
https://aisel.aisnet.org/icis2020/digital_commerce/digital_commerce/12
Improving Customers’ Decision Making on Blackboxed Multimodal Mobility Platforms – A Design Science Approach
Multimodal mobility platforms (MMPs) bundle various mobility services and aim to support travelers in identifying potential travel routes. However, MMPs derive information from a wide space of solutions that may not lead to the presentation of best suited options. In this short paper, we present an ongoing design science research project on how to design MMPs in order to improve travelers’ decision making. In the relevance cycle, and based on interviews, we identify specific challenges in the usage process of MMPs. For instance, travelers do not comprehend how the list of options are composed due to the platforms’ black box character, individual trade-offs between preferences (e.g. time and costs) are not considered, and travelers with special needs may not find all filter options they require. Building on the identified challenges and knowledge base in literature, we derive meta-requirements and corresponding design principles in order to improve decision making in MMPs.
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