Decision modeling and empirical analysis of mobile financial services

The past twenty years have been a time of many new technological developments, changing business practices, and interesting innovations in the financial information system (IS) and technology landscape. As the financial services industry has been undergoing the digital transformation, the emergence...

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Main Author: LIU, Jun
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2016
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Online Access:https://ink.library.smu.edu.sg/etd_coll_all/2
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1005&context=etd_coll_all
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Institution: Singapore Management University
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spelling sg-smu-ink.etd_coll_all-10052017-05-22T04:03:52Z Decision modeling and empirical analysis of mobile financial services LIU, Jun The past twenty years have been a time of many new technological developments, changing business practices, and interesting innovations in the financial information system (IS) and technology landscape. As the financial services industry has been undergoing the digital transformation, the emergence of mobile financial services has been changing the way that customers pay for goods and services purchases and interact with financial institutions. This dissertation seeks to understand the evolution of the mobile payments technology ecosystem and how firms make mobile payments investment decisions under uncertainty, as well as examines the influence of mobile banking on customer behavior and financial decision-making. 2016-08-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/etd_coll_all/2 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1005&context=etd_coll_all http://creativecommons.org/licenses/by-nc-nd/4.0/ Dissertations and Theses Collection eng Institutional Knowledge at Singapore Management University Mobile financial services Mobile payments Mobile banking Technology ecosystem IT investments Omni-channel banking behavior OS and Networks Programming Languages and Compilers Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Mobile financial services
Mobile payments
Mobile banking
Technology ecosystem
IT investments
Omni-channel banking behavior
OS and Networks
Programming Languages and Compilers
Software Engineering
spellingShingle Mobile financial services
Mobile payments
Mobile banking
Technology ecosystem
IT investments
Omni-channel banking behavior
OS and Networks
Programming Languages and Compilers
Software Engineering
LIU, Jun
Decision modeling and empirical analysis of mobile financial services
description The past twenty years have been a time of many new technological developments, changing business practices, and interesting innovations in the financial information system (IS) and technology landscape. As the financial services industry has been undergoing the digital transformation, the emergence of mobile financial services has been changing the way that customers pay for goods and services purchases and interact with financial institutions. This dissertation seeks to understand the evolution of the mobile payments technology ecosystem and how firms make mobile payments investment decisions under uncertainty, as well as examines the influence of mobile banking on customer behavior and financial decision-making.
format text
author LIU, Jun
author_facet LIU, Jun
author_sort LIU, Jun
title Decision modeling and empirical analysis of mobile financial services
title_short Decision modeling and empirical analysis of mobile financial services
title_full Decision modeling and empirical analysis of mobile financial services
title_fullStr Decision modeling and empirical analysis of mobile financial services
title_full_unstemmed Decision modeling and empirical analysis of mobile financial services
title_sort decision modeling and empirical analysis of mobile financial services
publisher Institutional Knowledge at Singapore Management University
publishDate 2016
url https://ink.library.smu.edu.sg/etd_coll_all/2
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1005&context=etd_coll_all
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