An Integration of Expectation-Confirmation and Commitment Model for Mobile Learning Systems

Wai Ting Ngai; W Chan; Jandia  Poon

An Integration of Expectation-Confirmation and Commitment Model for Mobile Learning Systems

Wai Ting Ngai, W Chan, Jandia Poon

Department of Management and Marketing

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

With the proliferation and popularity of mobile phones, mobile learning has become an integral part of higher education. However, intention to continue using mobile technology in educational context has not been extensively researched. In this paper, we integrate commitment into the expectation confirmation model and use it to examine students’ intention to continue using an interactive mobile learning system in learning. The findings indicate that confirmation, perceived usefulness and satisfaction are important factors to motivate students continuously adopting mobile learning system.

Original language	English
Title of host publication	AMCIS 2019 Proceedings
Publisher	Association for Information Systems
Pages	29
Volume	2019
ISBN (Print)	978-0-9966831-8-0
Publication status	Published - Aug 2019
Event	AMERICAS CONFERENCE ON INFORMATION SYSTEMS (AMCIS) 2019 - Cancun, Cancun, Mexico Duration: 14 Aug 2019 → 18 Aug 2019 https://amcis2019.aisconferences.org/schedule-program/

Conference

Conference	AMERICAS CONFERENCE ON INFORMATION SYSTEMS (AMCIS) 2019
Country/Territory	Mexico
City	Cancun
Period	14/08/19 → 18/08/19
Internet address	https://amcis2019.aisconferences.org/schedule-program/

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https://aisel.aisnet.org/amcis2019/is_education/is_education/29/

Cite this

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title = "An Integration of Expectation-Confirmation and Commitment Model for Mobile Learning Systems",

abstract = "With the proliferation and popularity of mobile phones, mobile learning has become an integral part of higher education. However, intention to continue using mobile technology in educational context has not been extensively researched. In this paper, we integrate commitment into the expectation confirmation model and use it to examine students{\textquoteright} intention to continue using an interactive mobile learning system in learning. The findings indicate that confirmation, perceived usefulness and satisfaction are important factors to motivate students continuously adopting mobile learning system.",

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AU - Ngai, Wai Ting

AU - Chan, W

AU - Poon, Jandia

PY - 2019/8

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N2 - With the proliferation and popularity of mobile phones, mobile learning has become an integral part of higher education. However, intention to continue using mobile technology in educational context has not been extensively researched. In this paper, we integrate commitment into the expectation confirmation model and use it to examine students’ intention to continue using an interactive mobile learning system in learning. The findings indicate that confirmation, perceived usefulness and satisfaction are important factors to motivate students continuously adopting mobile learning system.

AB - With the proliferation and popularity of mobile phones, mobile learning has become an integral part of higher education. However, intention to continue using mobile technology in educational context has not been extensively researched. In this paper, we integrate commitment into the expectation confirmation model and use it to examine students’ intention to continue using an interactive mobile learning system in learning. The findings indicate that confirmation, perceived usefulness and satisfaction are important factors to motivate students continuously adopting mobile learning system.

M3 - Conference article published in proceeding or book

SN - 978-0-9966831-8-0

VL - 2019

SP - 29

BT - AMCIS 2019 Proceedings

PB - Association for Information Systems

T2 - AMERICAS CONFERENCE ON INFORMATION SYSTEMS (AMCIS) 2019

Y2 - 14 August 2019 through 18 August 2019

ER -

An Integration of Expectation-Confirmation and Commitment Model for Mobile Learning Systems

Abstract

Conference

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