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University Website Design with Multivariate Statistical Techniques in Kansei Engineering.

Record Type:	Electronic resources : Monograph/item
Title/Author:	University Website Design with Multivariate Statistical Techniques in Kansei Engineering./
Author:	Abdi, Saed Jama.
Description:	1 online resource (78 pages)
Notes:	Source: Masters Abstracts International, Volume: 83-03.
Contained By:	Masters Abstracts International83-03.
Subject:	Web site design. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28633751click for full text (PQDT)
ISBN:	9798522980351

University Website Design with Multivariate Statistical Techniques in Kansei Engineering.
Abdi, Saed Jama.

University Website Design with Multivariate Statistical Techniques in Kansei Engineering. - 1 online resource (78 pages)

Source: Masters Abstracts International, Volume: 83-03.

Thesis (Master's)--Anadolu University (Turkey), 2017.

Includes bibliographical references

In this age of advanced technology, every university has a website to endorse their programs and encourage students around the world to join one of their faculties. However, universities give much priority to the functionality and usability of their websites and they give less attention to meet the users' demands for visually attractive websites that satisfy their emotions. This study proposes Factor Analysis (FA), Partial Least Squares (PLS) regression statistical methods and Kansei Engineering to identify elements of website design that are emotionally appealing to 18 - 37 age students in Turkey universities. A total of 22 Kansei words and 9 sample websites of Turkey universities are selected to investigate, 172 students consists of 84 females, and 88 males were asked to evaluate the selected websites using Kansei words (KWs). A 5-point semantic differential scale is used to evaluate the relationship between website elements and KWs. Multivariate Statistical Methods such as FA and PLS regression were performed to explore the most influential KWs and the corresponding websites. The results showed the highest and the lowest rating websites, the website categories that have a positive and negative impact on students Kansei. The outcome implied that the FA and PLS regression and Kansei Methodology in this study played a crucial role in website design in terms of satisfying users' demands in this study.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798522980351Subjects--Topical Terms:

3702869
Web site design.
Index Terms--Genre/Form:

542853
Electronic books.

University Website Design with Multivariate Statistical Techniques in Kansei Engineering.
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100 1 $a Abdi, Saed Jama. $3 3705987
245 1 0 $a University Website Design with Multivariate Statistical Techniques in Kansei Engineering.
264 0 $c 2017
300 $a 1 online resource (78 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: Masters Abstracts International, Volume: 83-03.
500 $a Advisor: Greenacre, Zerrin Asan.
502 $a Thesis (Master's)--Anadolu University (Turkey), 2017.
504 $a Includes bibliographical references
520 $a In this age of advanced technology, every university has a website to endorse their programs and encourage students around the world to join one of their faculties. However, universities give much priority to the functionality and usability of their websites and they give less attention to meet the users' demands for visually attractive websites that satisfy their emotions. This study proposes Factor Analysis (FA), Partial Least Squares (PLS) regression statistical methods and Kansei Engineering to identify elements of website design that are emotionally appealing to 18 - 37 age students in Turkey universities. A total of 22 Kansei words and 9 sample websites of Turkey universities are selected to investigate, 172 students consists of 84 females, and 88 males were asked to evaluate the selected websites using Kansei words (KWs). A 5-point semantic differential scale is used to evaluate the relationship between website elements and KWs. Multivariate Statistical Methods such as FA and PLS regression were performed to explore the most influential KWs and the corresponding websites. The results showed the highest and the lowest rating websites, the website categories that have a positive and negative impact on students Kansei. The outcome implied that the FA and PLS regression and Kansei Methodology in this study played a crucial role in website design in terms of satisfying users' demands in this study.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Web site design. $3 3702869
650 4 $a Emotions. $3 524569
650 4 $a Expected values. $3 3563993
650 4 $a Philosophy. $3 516511
650 4 $a Psychology. $3 519075
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0338
690 $a 0422
690 $a 0621
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a Anadolu University (Turkey). $3 3681763
773 0 $t Masters Abstracts International $g 83-03.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28633751 $z click for full text (PQDT)