Developing and validating a model for assessing paid mobile learning app success

Yu Yin Wang, Yi-Shun Wang, Hsin Hui Lin, Tung Han Tsai

Research output: Contribution to journalArticle

Abstract

With the proliferation of paid mobile learning applications (m-learning apps), understanding how to assess their success has become an important issue for academics and practitioners. Based on the information systems (IS) success models and the value-based adoption model, this study developed and validated a multidimensional model for assessing paid m-learning app success. The proposed model describes the interrelationships among seven paid m-learning app success variables: system quality, information quality, perceived enjoyment, perceived fee, user satisfaction, intention to reuse, and learning effectiveness. Data collected from 160 paid m-learning app users were tested against the research model using structural equation modeling (SEM). The empirical findings provide evidence that learning effectiveness is affected by user satisfaction and intention to reuse, which, in turn, are determined by system quality, information quality, perceived enjoyment, and perceived fee. The findings of this study provide several important theoretical and practical implications for the development, implementation, and promotion of paid m-learning apps.

Original languageEnglish
Pages (from-to)458-477
Number of pages20
JournalInteractive Learning Environments
Volume27
Issue number4
DOIs
Publication statusPublished - 2019 May 19

Fingerprint

learning success
Application programs
learning
fee
Information systems
structural model
proliferation
information system
promotion
evidence
Values

All Science Journal Classification (ASJC) codes

  • Education
  • Computer Science Applications

Cite this

Wang, Yu Yin ; Wang, Yi-Shun ; Lin, Hsin Hui ; Tsai, Tung Han. / Developing and validating a model for assessing paid mobile learning app success. In: Interactive Learning Environments. 2019 ; Vol. 27, No. 4. pp. 458-477.
@article{91bef3cd7a804fc88a7e5104fc862469,
title = "Developing and validating a model for assessing paid mobile learning app success",
abstract = "With the proliferation of paid mobile learning applications (m-learning apps), understanding how to assess their success has become an important issue for academics and practitioners. Based on the information systems (IS) success models and the value-based adoption model, this study developed and validated a multidimensional model for assessing paid m-learning app success. The proposed model describes the interrelationships among seven paid m-learning app success variables: system quality, information quality, perceived enjoyment, perceived fee, user satisfaction, intention to reuse, and learning effectiveness. Data collected from 160 paid m-learning app users were tested against the research model using structural equation modeling (SEM). The empirical findings provide evidence that learning effectiveness is affected by user satisfaction and intention to reuse, which, in turn, are determined by system quality, information quality, perceived enjoyment, and perceived fee. The findings of this study provide several important theoretical and practical implications for the development, implementation, and promotion of paid m-learning apps.",
author = "Wang, {Yu Yin} and Yi-Shun Wang and Lin, {Hsin Hui} and Tsai, {Tung Han}",
year = "2019",
month = "5",
day = "19",
doi = "10.1080/10494820.2018.1484773",
language = "English",
volume = "27",
pages = "458--477",
journal = "Interactive Learning Environments",
issn = "1049-4820",
publisher = "Routledge",
number = "4",

}

Developing and validating a model for assessing paid mobile learning app success. / Wang, Yu Yin; Wang, Yi-Shun; Lin, Hsin Hui; Tsai, Tung Han.

In: Interactive Learning Environments, Vol. 27, No. 4, 19.05.2019, p. 458-477.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Developing and validating a model for assessing paid mobile learning app success

AU - Wang, Yu Yin

AU - Wang, Yi-Shun

AU - Lin, Hsin Hui

AU - Tsai, Tung Han

PY - 2019/5/19

Y1 - 2019/5/19

N2 - With the proliferation of paid mobile learning applications (m-learning apps), understanding how to assess their success has become an important issue for academics and practitioners. Based on the information systems (IS) success models and the value-based adoption model, this study developed and validated a multidimensional model for assessing paid m-learning app success. The proposed model describes the interrelationships among seven paid m-learning app success variables: system quality, information quality, perceived enjoyment, perceived fee, user satisfaction, intention to reuse, and learning effectiveness. Data collected from 160 paid m-learning app users were tested against the research model using structural equation modeling (SEM). The empirical findings provide evidence that learning effectiveness is affected by user satisfaction and intention to reuse, which, in turn, are determined by system quality, information quality, perceived enjoyment, and perceived fee. The findings of this study provide several important theoretical and practical implications for the development, implementation, and promotion of paid m-learning apps.

AB - With the proliferation of paid mobile learning applications (m-learning apps), understanding how to assess their success has become an important issue for academics and practitioners. Based on the information systems (IS) success models and the value-based adoption model, this study developed and validated a multidimensional model for assessing paid m-learning app success. The proposed model describes the interrelationships among seven paid m-learning app success variables: system quality, information quality, perceived enjoyment, perceived fee, user satisfaction, intention to reuse, and learning effectiveness. Data collected from 160 paid m-learning app users were tested against the research model using structural equation modeling (SEM). The empirical findings provide evidence that learning effectiveness is affected by user satisfaction and intention to reuse, which, in turn, are determined by system quality, information quality, perceived enjoyment, and perceived fee. The findings of this study provide several important theoretical and practical implications for the development, implementation, and promotion of paid m-learning apps.

UR - http://www.scopus.com/inward/record.url?scp=85048832118&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85048832118&partnerID=8YFLogxK

U2 - 10.1080/10494820.2018.1484773

DO - 10.1080/10494820.2018.1484773

M3 - Article

VL - 27

SP - 458

EP - 477

JO - Interactive Learning Environments

JF - Interactive Learning Environments

SN - 1049-4820

IS - 4

ER -