Predicting RFID Adoption Towards Urban Smart Mobility in Ulaanbaatar, Mongolia

Smart city technologies such as transportation and parking systems make our daily lives more efficient and intelligent. However, it is impossible to implement a smart mobility system without analyzing the individual's behavior toward the new technology. This research study attempts to develop a...

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Main Authors: Urandelger Gantulga, Burmaa Sampil, Ariunsaikhan Tugsbat
Format: Article
Language:English
Published: Korean Marketing Association 2022-04-01
Series:Asia Marketing Journal
Subjects:
Online Access:https://amj.kma.re.kr/cgi/viewcontent.cgi?article=1584&context=journal
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author Urandelger Gantulga
Burmaa Sampil
Ariunsaikhan Tugsbat
author_facet Urandelger Gantulga
Burmaa Sampil
Ariunsaikhan Tugsbat
author_sort Urandelger Gantulga
collection DOAJ
description Smart city technologies such as transportation and parking systems make our daily lives more efficient and intelligent. However, it is impossible to implement a smart mobility system without analyzing the individual's behavior toward the new technology. This research study attempts to develop a framework for predicting smart mobility antecedents using SEM in primary data analysis. The Technology Acceptance Model (TAM) was the conceptual foundation for this study. To achieve the objectives of the study, one thousand five hundred and twelve effective questionnaires were collected and analyzed using Smart PLS 3.3. The results show that perceived usefulness, perceived ease of use, and perceived risk significantly affect attitudes towards adopting smart mobility systems. Our study provides a comprehensive framework to understand individual-level smart city technology adoption. This study offers implications for policymakers to update existing policies concerning road technology.
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spelling doaj.art-861b9b5fe966412887da36438d6ede452022-12-22T02:29:51ZengKorean Marketing AssociationAsia Marketing Journal1598-78682765-65002022-04-0124131210.53728/2765-6500.1584Predicting RFID Adoption Towards Urban Smart Mobility in Ulaanbaatar, MongoliaUrandelger Gantulga0https://orcid.org/0000-0003-0095-5539Burmaa Sampil1https://orcid.org/0000-0002-4155-4291Ariunsaikhan Tugsbat2https://orcid.org/0000-0002-1008-4856Business School, National University of Mongolia, MongoliaBusiness School, National University of Mongolia, MongoliaBusiness School, National University of Mongolia, MongoliaSmart city technologies such as transportation and parking systems make our daily lives more efficient and intelligent. However, it is impossible to implement a smart mobility system without analyzing the individual's behavior toward the new technology. This research study attempts to develop a framework for predicting smart mobility antecedents using SEM in primary data analysis. The Technology Acceptance Model (TAM) was the conceptual foundation for this study. To achieve the objectives of the study, one thousand five hundred and twelve effective questionnaires were collected and analyzed using Smart PLS 3.3. The results show that perceived usefulness, perceived ease of use, and perceived risk significantly affect attitudes towards adopting smart mobility systems. Our study provides a comprehensive framework to understand individual-level smart city technology adoption. This study offers implications for policymakers to update existing policies concerning road technology.https://amj.kma.re.kr/cgi/viewcontent.cgi?article=1584&context=journalperceived riskperceived ease of useperceived usefulnessattitudebehavioral intention
spellingShingle Urandelger Gantulga
Burmaa Sampil
Ariunsaikhan Tugsbat
Predicting RFID Adoption Towards Urban Smart Mobility in Ulaanbaatar, Mongolia
Asia Marketing Journal
perceived risk
perceived ease of use
perceived usefulness
attitude
behavioral intention
title Predicting RFID Adoption Towards Urban Smart Mobility in Ulaanbaatar, Mongolia
title_full Predicting RFID Adoption Towards Urban Smart Mobility in Ulaanbaatar, Mongolia
title_fullStr Predicting RFID Adoption Towards Urban Smart Mobility in Ulaanbaatar, Mongolia
title_full_unstemmed Predicting RFID Adoption Towards Urban Smart Mobility in Ulaanbaatar, Mongolia
title_short Predicting RFID Adoption Towards Urban Smart Mobility in Ulaanbaatar, Mongolia
title_sort predicting rfid adoption towards urban smart mobility in ulaanbaatar mongolia
topic perceived risk
perceived ease of use
perceived usefulness
attitude
behavioral intention
url https://amj.kma.re.kr/cgi/viewcontent.cgi?article=1584&context=journal
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