Details
| Original language | English |
|---|---|
| Pages | 179 |
| Publication status | Published - 2021 |
| Event | Pacific Asia Conference on Information Systems - Dubai, United Arab Emirates Duration: 12 Jul 2021 → 14 Jul 2021 |
Conference
| Conference | Pacific Asia Conference on Information Systems |
|---|---|
| Abbreviated title | PACIS |
| Country/Territory | United Arab Emirates |
| City | Dubai |
| Period | 12 Jul 2021 → 14 Jul 2021 |
Abstract
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2021. 179 Paper presented at Pacific Asia Conference on Information Systems , Dubai, United Arab Emirates.
Research output: Contribution to conference › Paper › Research › peer review
}
TY - CONF
T1 - More than Mobile Banking
T2 - Pacific Asia Conference on Information Systems
AU - Torno, Albert
AU - Werth, Oliver
AU - Nickerson, Robert C.
AU - Breitner, Michael H.
AU - Muntermann, Jan
N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2021
Y1 - 2021
N2 - Mobile personal finance applications cannot only assist users in daily personal finance activities, e.g., mobile banking, but can also guide users to optimize long-term financial decisions. Still, research lacks a rigorous classification of this critical mobile commerce domain. We provide insights by developing a taxonomy and conducting a cluster analysis of mobile personal finance applications. We classify 170 mobile personal finance applications into twelve dimensions, combining a technical artifact perspective with a financial services perspective. Additionally, we empirically identify ten distinct clusters of archetypical application configurations. While we classify the field and give inclinations for future research, financial service providers and application developers can understand their competitors and use our insights to improve their applications. Potential users of these applications can use our findings to select mobile applications to optimize their personal finance endeavors.
AB - Mobile personal finance applications cannot only assist users in daily personal finance activities, e.g., mobile banking, but can also guide users to optimize long-term financial decisions. Still, research lacks a rigorous classification of this critical mobile commerce domain. We provide insights by developing a taxonomy and conducting a cluster analysis of mobile personal finance applications. We classify 170 mobile personal finance applications into twelve dimensions, combining a technical artifact perspective with a financial services perspective. Additionally, we empirically identify ten distinct clusters of archetypical application configurations. While we classify the field and give inclinations for future research, financial service providers and application developers can understand their competitors and use our insights to improve their applications. Potential users of these applications can use our findings to select mobile applications to optimize their personal finance endeavors.
M3 - Paper
SP - 179
Y2 - 12 July 2021 through 14 July 2021
ER -