Exploring the time dimension in the technology acceptance model with latent growth curve modeling

Kyootai LEE; Aihua YAN; Kailash JOSHI

Exploring the time dimension in the technology acceptance model with latent growth curve modeling

Kyootai LEE
, Aihua YAN
, Kailash JOSHI

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

Abstract

This paper investigates the dynamics of users' beliefs and intention to adopt a new technology during the course of its training. It also identifies the relationships among the dynamic elements over a time continuum. As a research method, we introduce latent growth curve modeling to better analyze the dynamics over a longitudinal time horizon. We provide an outline of the method for a research in progress. In addition, we demonstrate the application of latent growth curve modeling to a secondary data set obtained from Venkatesh et al. (2006). The results indicate that those with a higher level of initial behavioral intention to use are likely to have a higher level of initial use of a technology. In addition, those who have a steeper rate of increase in behavioral intention during the implementation are likely to have a steeper increase in their use of the technology.

Original language	English
Title of host publication	Proceedings of the Fifteenth Americas Conference on Information Systems, 2009
Publisher	Association for Information Systems
Pages	5577-5586
Number of pages	10
ISBN (Print)	9781615675814
Publication status	Published - 2009
Externally published	Yes
Event	15th Americas Conference on Information Systems 2009 - San Francisco, California, United States Duration: 6 Aug 2009 → 9 Aug 2009

Conference

Conference	15th Americas Conference on Information Systems 2009
Abbreviated title	AMCIS 2009
Country/Territory	United States
City	San Francisco, California
Period	6/08/09 → 9/08/09

Keywords

Dynamics of user beliefs and intention
Latent growth curve modeling
Technology acceptance model

Access to Document

https://aisel.aisnet.org/amcis2009/669Licence: Unspecified

Cite this

@inproceedings{a968ec38109543b788cf438666988fcb,

title = "Exploring the time dimension in the technology acceptance model with latent growth curve modeling",

abstract = "This paper investigates the dynamics of users' beliefs and intention to adopt a new technology during the course of its training. It also identifies the relationships among the dynamic elements over a time continuum. As a research method, we introduce latent growth curve modeling to better analyze the dynamics over a longitudinal time horizon. We provide an outline of the method for a research in progress. In addition, we demonstrate the application of latent growth curve modeling to a secondary data set obtained from Venkatesh et al. (2006). The results indicate that those with a higher level of initial behavioral intention to use are likely to have a higher level of initial use of a technology. In addition, those who have a steeper rate of increase in behavioral intention during the implementation are likely to have a steeper increase in their use of the technology.",

keywords = "Dynamics of user beliefs and intention, Latent growth curve modeling, Technology acceptance model",

author = "Kyootai LEE and Aihua YAN and Kailash JOSHI",

year = "2009",

language = "English",

isbn = "9781615675814",

pages = "5577--5586",

booktitle = "Proceedings of the Fifteenth Americas Conference on Information Systems, 2009",

publisher = "Association for Information Systems",

address = "United States",

note = "15th Americas Conference on Information Systems 2009, AMCIS 2009 ; Conference date: 06-08-2009 Through 09-08-2009",

}

LEE, K, YAN, A & JOSHI, K 2009, Exploring the time dimension in the technology acceptance model with latent growth curve modeling. in Proceedings of the Fifteenth Americas Conference on Information Systems, 2009. Association for Information Systems, pp. 5577-5586, 15th Americas Conference on Information Systems 2009, San Francisco, California, United States, 6/08/09. <https://aisel.aisnet.org/amcis2009/669>

Exploring the time dimension in the technology acceptance model with latent growth curve modeling. / LEE, Kyootai; YAN, Aihua; JOSHI, Kailash.
Proceedings of the Fifteenth Americas Conference on Information Systems, 2009. Association for Information Systems, 2009. p. 5577-5586.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

T1 - Exploring the time dimension in the technology acceptance model with latent growth curve modeling

AU - LEE, Kyootai

AU - YAN, Aihua

AU - JOSHI, Kailash

PY - 2009

Y1 - 2009

N2 - This paper investigates the dynamics of users' beliefs and intention to adopt a new technology during the course of its training. It also identifies the relationships among the dynamic elements over a time continuum. As a research method, we introduce latent growth curve modeling to better analyze the dynamics over a longitudinal time horizon. We provide an outline of the method for a research in progress. In addition, we demonstrate the application of latent growth curve modeling to a secondary data set obtained from Venkatesh et al. (2006). The results indicate that those with a higher level of initial behavioral intention to use are likely to have a higher level of initial use of a technology. In addition, those who have a steeper rate of increase in behavioral intention during the implementation are likely to have a steeper increase in their use of the technology.

AB - This paper investigates the dynamics of users' beliefs and intention to adopt a new technology during the course of its training. It also identifies the relationships among the dynamic elements over a time continuum. As a research method, we introduce latent growth curve modeling to better analyze the dynamics over a longitudinal time horizon. We provide an outline of the method for a research in progress. In addition, we demonstrate the application of latent growth curve modeling to a secondary data set obtained from Venkatesh et al. (2006). The results indicate that those with a higher level of initial behavioral intention to use are likely to have a higher level of initial use of a technology. In addition, those who have a steeper rate of increase in behavioral intention during the implementation are likely to have a steeper increase in their use of the technology.

KW - Dynamics of user beliefs and intention

KW - Latent growth curve modeling

KW - Technology acceptance model

UR - https://www.scopus.com/pages/publications/84870337673

M3 - Conference paper (refereed)

AN - SCOPUS:84870337673

SN - 9781615675814

SP - 5577

EP - 5586

BT - Proceedings of the Fifteenth Americas Conference on Information Systems, 2009

PB - Association for Information Systems

T2 - 15th Americas Conference on Information Systems 2009

Y2 - 6 August 2009 through 9 August 2009

ER -

Exploring the time dimension in the technology acceptance model with latent growth curve modeling

Abstract

Conference

Keywords

Access to Document

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