國立虎尾科技大學 |

Mobile Technology Adoption : = Assessing Faculty Acceptance Using the Technology Acceptance Model.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Mobile Technology Adoption :/
Reminder of title:	Assessing Faculty Acceptance Using the Technology Acceptance Model.
Author:	Wright, Sarah R.
Description:	1 online resource (106 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 79-10(E), Section: A.
Subject:	Higher education. -
Online resource:	click for full text (PQDT)
ISBN:	9780438021600

Mobile Technology Adoption : = Assessing Faculty Acceptance Using the Technology Acceptance Model.
Wright, Sarah R.

Mobile Technology Adoption :Assessing Faculty Acceptance Using the Technology Acceptance Model. - 1 online resource (106 pages)

Source: Dissertation Abstracts International, Volume: 79-10(E), Section: A.

Thesis (Ph.D.)--Northcentral University, 2018.

Includes bibliographical references

The computing industry has advanced at a rapid pace from desktops and laptops to mobile devices that can be held or worn including smart phones, tablets, and smart watches. These mobile technologies have become a part of every facet of life from banking and health care to new ways to communicate with family and peers. While business and industry are embracing new technology, the higher education environment, specifically faculty, have not been quick to incorporate mobile technology for academic purposes. The purpose of this non-experimental, quantitative study was to utilize the technology acceptance model to determine the factors that influence faculty acceptance of mobile devices for academic purposes in higher education. Previously validated technology acceptance model instruments were used to determine if the constructs: perceived ease of use, perceived usefulness, application quality, available technological support, and perceived self-efficacy could be used as predictors for faculty intent to use mobile device in the academic environment. Faculty from two regional universities in Louisiana were surveyed and results of the survey were analyzed using structured equation modeling techniques. IBM SPSS, IBM SPSS AMOS Graphics 25 and SmartPLS 3 software were used to conduct the analysis. The results determined if faculty feel a mobile application is useful they are more likely to use it in the higher education environment supporting perceived usefulness as a predictor. Results also determined the easier faculty feel the application is to use and the higher the quality the more likely they are to find it useful. Faculty who feel they are capable of using the mobile technology and had support when needed are more likely to find the mobile application easy to use. The results add to the body of knowledge related to technology acceptance model research and contribute to practice by giving developers some insight into why faculty choose to utilize a mobile technology.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780438021600Subjects--Topical Terms:

1148448
Higher education.
Index Terms--Genre/Form:

554714
Electronic books.

Mobile Technology Adoption : = Assessing Faculty Acceptance Using the Technology Acceptance Model.
LDR:03205ntm a2200337K 4500 001 914873
005 20180724121431.5
006 m o u
007 cr mn||||a|a||
008 190606s2018 xx obm 000 0 eng d
020 $a 9780438021600
035 $a (MiAaPQ)AAI10825136
035 $a (MiAaPQ)northcentral:13006
035 $a AAI10825136
040 $a MiAaPQ $b eng $c MiAaPQ
100 1 $a Wright, Sarah R. $3 1188261
245 1 0 $a Mobile Technology Adoption : $b Assessing Faculty Acceptance Using the Technology Acceptance Model.
264 0 $c 2018
300 $a 1 online resource (106 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: A.
500 $a Adviser: Gordon McClung.
502 $a Thesis (Ph.D.)--Northcentral University, 2018.
504 $a Includes bibliographical references
520 $a The computing industry has advanced at a rapid pace from desktops and laptops to mobile devices that can be held or worn including smart phones, tablets, and smart watches. These mobile technologies have become a part of every facet of life from banking and health care to new ways to communicate with family and peers. While business and industry are embracing new technology, the higher education environment, specifically faculty, have not been quick to incorporate mobile technology for academic purposes. The purpose of this non-experimental, quantitative study was to utilize the technology acceptance model to determine the factors that influence faculty acceptance of mobile devices for academic purposes in higher education. Previously validated technology acceptance model instruments were used to determine if the constructs: perceived ease of use, perceived usefulness, application quality, available technological support, and perceived self-efficacy could be used as predictors for faculty intent to use mobile device in the academic environment. Faculty from two regional universities in Louisiana were surveyed and results of the survey were analyzed using structured equation modeling techniques. IBM SPSS, IBM SPSS AMOS Graphics 25 and SmartPLS 3 software were used to conduct the analysis. The results determined if faculty feel a mobile application is useful they are more likely to use it in the higher education environment supporting perceived usefulness as a predictor. Results also determined the easier faculty feel the application is to use and the higher the quality the more likely they are to find it useful. Faculty who feel they are capable of using the mobile technology and had support when needed are more likely to find the mobile application easy to use. The results add to the body of knowledge related to technology acceptance model research and contribute to practice by giving developers some insight into why faculty choose to utilize a mobile technology.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Higher education. $3 1148448
650 4 $a Computer science. $3 573171
650 4 $a Educational technology. $3 556755
655 7 $a Electronic books. $2 local $3 554714
690 $a 0745
690 $a 0984
690 $a 0710
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Northcentral University. $b School of Business and Technology Management. $3 1180957
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10825136 $z click for full text (PQDT)