國立高雄大學圖資館 |

登入

回首頁

The Relationship Between Cloud Computing Factors and Cloud Computing Behavioral Intention of First-Year University Students /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The Relationship Between Cloud Computing Factors and Cloud Computing Behavioral Intention of First-Year University Students /Gabriel Albino.
作者:	Albino, Gabriel,
面頁冊數:	1 electronic resource (214 pages)
附註:	Source: Dissertations Abstracts International, Volume: 87-07, Section: B.
附註:	Advisors: Anthony, Kimberly Committee members: Camarota, Anton.
Contained By:	Dissertations Abstracts International87-07B.
標題:	Information technology.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=32403881
ISBN:	9798273306202

The Relationship Between Cloud Computing Factors and Cloud Computing Behavioral Intention of First-Year University Students /
Albino, Gabriel,

The Relationship Between Cloud Computing Factors and Cloud Computing Behavioral Intention of First-Year University Students /Gabriel Albino. - 1 electronic resource (214 pages)

Source: Dissertations Abstracts International, Volume: 87-07, Section: B.

In an era where vast amounts of data are generated daily, the ability to manage information through cloud computing has become critical; however, asymmetries in using this technology persist, particularly in developing countries. Academic managers often lack information about the factors influencing cloud computing usage. The purpose of this quantitative correlational cross-sectional study was to examine the relationship between cloud computing factors, including effort expectancy (EE), performance expectancy (PE), social influence (SI), and facilitating conditions (FC), and the first-year university students' cloud computing behavioral intention (CCBI) in the developing country of Angola. A structured questionnaire was administered to a random sample of 195 first-year university students. The unified theory of acceptance and use of technology (UTAUT) was used to create a research model, incorporating EE, PE, SI, and FC as predictor variables of CCBI. The results of the multiple linear regression model were statistically significant, F(4, 190) = 24.05, p < .001, explaining 33.6% of the variance in CCBI. Individually, EE, PE, and SI emerged as significant positive predictors of CCBI, whereas FC demonstrated a weaker, more indirect influence. Understanding this relationship could help academic managers design targeted policies and frameworks to enhance cloud computing usage in educational settings where the technology is still emerging in the current digitized world. The implications for positive social change include the potential for university leaders and policymakers to reinforce the UTAUT's relevance in guiding their technology implementation strategies in diverse educational environments, thereby improving the quality of life for individuals and communities.

English

ISBN: 9798273306202Subjects--Topical Terms:

184390
Information technology.
Subjects--Index Terms:

Behavioral intention

The Relationship Between Cloud Computing Factors and Cloud Computing Behavioral Intention of First-Year University Students /
LDR:03343nmm a22004453i 4500 001 693808
005 20260511063028.5
006 m o d
007 cr|nu||||||||
008 260819s2026 miu||||||m |||||||eng d
020 $a 9798273306202
035 $a (MiAaPQD)AAI32403881
035 $a AAI32403881
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Albino, Gabriel, $e author. $3 1010515
245 1 0 $a The Relationship Between Cloud Computing Factors and Cloud Computing Behavioral Intention of First-Year University Students / $c Gabriel Albino.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2026
300 $a 1 electronic resource (214 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: Dissertations Abstracts International, Volume: 87-07, Section: B.
500 $a Advisors: Anthony, Kimberly Committee members: Camarota, Anton.
502 $b Ph.D. $c Walden University $d 2026.
520 $a In an era where vast amounts of data are generated daily, the ability to manage information through cloud computing has become critical; however, asymmetries in using this technology persist, particularly in developing countries. Academic managers often lack information about the factors influencing cloud computing usage. The purpose of this quantitative correlational cross-sectional study was to examine the relationship between cloud computing factors, including effort expectancy (EE), performance expectancy (PE), social influence (SI), and facilitating conditions (FC), and the first-year university students' cloud computing behavioral intention (CCBI) in the developing country of Angola. A structured questionnaire was administered to a random sample of 195 first-year university students. The unified theory of acceptance and use of technology (UTAUT) was used to create a research model, incorporating EE, PE, SI, and FC as predictor variables of CCBI. The results of the multiple linear regression model were statistically significant, F(4, 190) = 24.05, p < .001, explaining 33.6% of the variance in CCBI. Individually, EE, PE, and SI emerged as significant positive predictors of CCBI, whereas FC demonstrated a weaker, more indirect influence. Understanding this relationship could help academic managers design targeted policies and frameworks to enhance cloud computing usage in educational settings where the technology is still emerging in the current digitized world. The implications for positive social change include the potential for university leaders and policymakers to reinforce the UTAUT's relevance in guiding their technology implementation strategies in diverse educational environments, thereby improving the quality of life for individuals and communities.
546 $a English
590 $a School code: 0543
650 4 $a Information technology. $3 184390
650 4 $a Information science. $3 190425
653 $a Behavioral intention
653 $a Cloud computing
653 $a Cloud computing adoption
653 $a Cloud computing usage
653 $a Information management
653 $a Information systems
690 $a 0489
690 $a 0723
690 $a 0454
710 2 $a Walden University. $b Management. $3 765988
720 1 $a Anthony, Kimberly $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 87-07B.
790 $a 0543
791 $a Ph.D.
792 $a 2026
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=32403881