The Impact of Social-Support, Self-efficacy and APP on MBI

Shu Mei Lin; Liang Ming Lo; Chia Yi Liu; Chao Liu; Wen Ko Chiou

doi:10.1007/978-3-030-49913-6_12

The Impact of Social-Support, Self-efficacy and APP on MBI

Shu Mei Lin^*, Liang Ming Lo, Chia Yi Liu, Chao Liu, Wen Ko Chiou

^*Corresponding author for this work

Department of Industrial Design

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Social-support, self-efficacy and APP were one of the advanced MBI. This article presents a structured literature review of 44 articles to elucidate the impacts of social support, self-efficacy, APP. We discuss (1) the MBIs in which social-support, self-efficacy, and APP operate; (2) social-support, self-efficacy, and APP as MBI design choices and (3) the implycations of MBI design choices on MBI performance output. The structure of this article is based on the MBI-PPD-APP model. Results of our literature review revealed that, social-support, self-efficacy, and APP are employed in a variety of applications. We also found that MBI design involves choices pertaining to MBI configurations, MBI relationship, social-support, self-efficacy, and the APP process. The MBI performance outputs which were found to be most influenced by social-support, self-efficacy, and APP included PPD (reduce), MBI phenomena (reduced), and MBI responsiveness (improved). We used the findings of our literature review to develop a conceptual framework, which includes 18 propositions and an agenda for research. Specifically, the goal of this research agenda is to existing knowledge about how social-support, self-efficacy, and APP impact MBI design. We expect that social-support and self-efficacy and APP will eventually lead to improve.

Original language	English
Title of host publication	Cross-Cultural Design. Applications in Health, Learning, Communication, and Creativity - 12th International Conference, CCD 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
Editors	Pei-Luen Patrick Rau
Publisher	Springer
Pages	138-150
Number of pages	13
ISBN (Print)	9783030499129
DOIs	https://doi.org/10.1007/978-3-030-49913-6_12
State	Published - 2020
Event	12th International Conference on Cross-Cultural Design, CCD 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark Duration: 19 07 2020 → 24 07 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12193 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	12th International Conference on Cross-Cultural Design, CCD 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
Country/Territory	Denmark
City	Copenhagen
Period	19/07/20 → 24/07/20

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

APP
MBI
Self-efficacy
Social-support

Access to Document

10.1007/978-3-030-49913-6_12

Cite this

Lin, S. M., Lo, L. M., Liu, C. Y., Liu, C., & Chiou, W. K. (2020). The Impact of Social-Support, Self-efficacy and APP on MBI. In P.-L. Patrick Rau (Ed.), Cross-Cultural Design. Applications in Health, Learning, Communication, and Creativity - 12th International Conference, CCD 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings (pp. 138-150). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12193 LNCS). Springer. https://doi.org/10.1007/978-3-030-49913-6_12

Lin, Shu Mei ; Lo, Liang Ming ; Liu, Chia Yi et al. / The Impact of Social-Support, Self-efficacy and APP on MBI. Cross-Cultural Design. Applications in Health, Learning, Communication, and Creativity - 12th International Conference, CCD 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings. editor / Pei-Luen Patrick Rau. Springer, 2020. pp. 138-150 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{7d0967195a384bfcb1d6f4ed75b6ef18,

title = "The Impact of Social-Support, Self-efficacy and APP on MBI",

abstract = "Social-support, self-efficacy and APP were one of the advanced MBI. This article presents a structured literature review of 44 articles to elucidate the impacts of social support, self-efficacy, APP. We discuss (1) the MBIs in which social-support, self-efficacy, and APP operate; (2) social-support, self-efficacy, and APP as MBI design choices and (3) the implycations of MBI design choices on MBI performance output. The structure of this article is based on the MBI-PPD-APP model. Results of our literature review revealed that, social-support, self-efficacy, and APP are employed in a variety of applications. We also found that MBI design involves choices pertaining to MBI configurations, MBI relationship, social-support, self-efficacy, and the APP process. The MBI performance outputs which were found to be most influenced by social-support, self-efficacy, and APP included PPD (reduce), MBI phenomena (reduced), and MBI responsiveness (improved). We used the findings of our literature review to develop a conceptual framework, which includes 18 propositions and an agenda for research. Specifically, the goal of this research agenda is to existing knowledge about how social-support, self-efficacy, and APP impact MBI design. We expect that social-support and self-efficacy and APP will eventually lead to improve.",

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author = "Lin, {Shu Mei} and Lo, {Liang Ming} and Liu, {Chia Yi} and Chao Liu and Chiou, {Wen Ko}",

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year = "2020",

doi = "10.1007/978-3-030-49913-6_12",

language = "英语",

isbn = "9783030499129",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

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Lin, SM, Lo, LM, Liu, CY, Liu, C & Chiou, WK 2020, The Impact of Social-Support, Self-efficacy and APP on MBI. in P-L Patrick Rau (ed.), Cross-Cultural Design. Applications in Health, Learning, Communication, and Creativity - 12th International Conference, CCD 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12193 LNCS, Springer, pp. 138-150, 12th International Conference on Cross-Cultural Design, CCD 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020, Copenhagen, Denmark, 19/07/20. https://doi.org/10.1007/978-3-030-49913-6_12

The Impact of Social-Support, Self-efficacy and APP on MBI. / Lin, Shu Mei; Lo, Liang Ming; Liu, Chia Yi et al.
Cross-Cultural Design. Applications in Health, Learning, Communication, and Creativity - 12th International Conference, CCD 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings. ed. / Pei-Luen Patrick Rau. Springer, 2020. p. 138-150 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12193 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The Impact of Social-Support, Self-efficacy and APP on MBI

AU - Lin, Shu Mei

AU - Lo, Liang Ming

AU - Liu, Chia Yi

AU - Liu, Chao

AU - Chiou, Wen Ko

PY - 2020

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AB - Social-support, self-efficacy and APP were one of the advanced MBI. This article presents a structured literature review of 44 articles to elucidate the impacts of social support, self-efficacy, APP. We discuss (1) the MBIs in which social-support, self-efficacy, and APP operate; (2) social-support, self-efficacy, and APP as MBI design choices and (3) the implycations of MBI design choices on MBI performance output. The structure of this article is based on the MBI-PPD-APP model. Results of our literature review revealed that, social-support, self-efficacy, and APP are employed in a variety of applications. We also found that MBI design involves choices pertaining to MBI configurations, MBI relationship, social-support, self-efficacy, and the APP process. The MBI performance outputs which were found to be most influenced by social-support, self-efficacy, and APP included PPD (reduce), MBI phenomena (reduced), and MBI responsiveness (improved). We used the findings of our literature review to develop a conceptual framework, which includes 18 propositions and an agenda for research. Specifically, the goal of this research agenda is to existing knowledge about how social-support, self-efficacy, and APP impact MBI design. We expect that social-support and self-efficacy and APP will eventually lead to improve.

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Lin SM, Lo LM, Liu CY, Liu C, Chiou WK. The Impact of Social-Support, Self-efficacy and APP on MBI. In Patrick Rau PL, editor, Cross-Cultural Design. Applications in Health, Learning, Communication, and Creativity - 12th International Conference, CCD 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings. Springer. 2020. p. 138-150. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-49913-6_12

The Impact of Social-Support, Self-efficacy and APP on MBI

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Bibliographical note

Keywords

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