國立虎尾科技大學 |

Purchase Intention After Exposure to Same Versus Different Attributes of Brand-Name Products : = An fNIRS Study.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Purchase Intention After Exposure to Same Versus Different Attributes of Brand-Name Products :/
其他題名:	An fNIRS Study.
作者:	Chan, Jasmine Y.
面頁冊數:	1 online resource (254 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-11, Section: A.
Contained By:	Dissertations Abstracts International85-11A.
標題:	Home economics. -
電子資源:	click for full text (PQDT)
ISBN:	9798382594392

Purchase Intention After Exposure to Same Versus Different Attributes of Brand-Name Products : = An fNIRS Study.
Chan, Jasmine Y.

Purchase Intention After Exposure to Same Versus Different Attributes of Brand-Name Products :An fNIRS Study. - 1 online resource (254 pages)

Source: Dissertations Abstracts International, Volume: 85-11, Section: A.

Thesis (Ph.D.)--Florida Atlantic University, 2024.

Includes bibliographical references

When viewing advertisements, one could be exposed to new information about the product. During that time, one could construct ad hoc categories or simple attributes for the brand-name product. The current experiment used functional near-infrared spectroscopy (fNIRS) to measure bilateral frontal and temporal cortices to understand the contribution of constructing ad hoc categories and simple attributes on purchase intentions. The current experiment also examined the feasibility of using the tensor decomposition method compared to the grand averaging method in multidimensional fNIRS signal analysis. This is to see if tensor decomposition can maintain the pattern of hemodynamic response without losing the temporal dynamics and spatial array to find a more optimized time and regions of interest to average across. The current experiments consisted of two parts: 1) participants studied brand-name products for various ad hoc categories (Experiment 1) or various simple attributes (Experiment 2) and 2) pick for purchase brand-name products in a two-alternative forced choice purchase intention test. Three methods were used to analyze the hemodynamic response data: the grand averaging method, the tensor decomposition method, and the revised grand averaging method. The revised grand averaging method is the same as the grand averaging method but uses information from the tensor decomposition method to inform what time and channel to average across. There were behavioral priming benefits compared to products that were not studied. However, there were no differences across the study conditions. Results revealed processing benefits, not purchasing benefits, for brand-name products studied for different simple attributes as marked by changes in the left prefrontal cortex. The results from tensor decomposition revealed more details on the time and channels of interest than the grand averaging method. Findings suggest that studying different simple attributes of a brand-name product produces benefits in the purchase intention process. Also, findings suggest tensor decomposition is a feasible method for fNIRS signal analysis.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798382594392Subjects--Topical Terms:

568501
Home economics.
Subjects--Index Terms:

ConsumerIndex Terms--Genre/Form:

554714
Electronic books.

Purchase Intention After Exposure to Same Versus Different Attributes of Brand-Name Products : = An fNIRS Study.
LDR:03563ntm a22003977 4500 001 1148030
005 20240916070007.5
006 m o d
007 cr bn ---uuuuu
008 250605s2024 xx obm 000 0 eng d
020 $a 9798382594392
035 $a (MiAaPQ)AAI31146914
035 $a AAI31146914
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Chan, Jasmine Y. $3 1473905
245 1 0 $a Purchase Intention After Exposure to Same Versus Different Attributes of Brand-Name Products : $b An fNIRS Study.
264 0 $c 2024
300 $a 1 online resource (254 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: 85-11, Section: A.
500 $a Advisor: Wilcox, Teresa G.
502 $a Thesis (Ph.D.)--Florida Atlantic University, 2024.
504 $a Includes bibliographical references
520 $a When viewing advertisements, one could be exposed to new information about the product. During that time, one could construct ad hoc categories or simple attributes for the brand-name product. The current experiment used functional near-infrared spectroscopy (fNIRS) to measure bilateral frontal and temporal cortices to understand the contribution of constructing ad hoc categories and simple attributes on purchase intentions. The current experiment also examined the feasibility of using the tensor decomposition method compared to the grand averaging method in multidimensional fNIRS signal analysis. This is to see if tensor decomposition can maintain the pattern of hemodynamic response without losing the temporal dynamics and spatial array to find a more optimized time and regions of interest to average across. The current experiments consisted of two parts: 1) participants studied brand-name products for various ad hoc categories (Experiment 1) or various simple attributes (Experiment 2) and 2) pick for purchase brand-name products in a two-alternative forced choice purchase intention test. Three methods were used to analyze the hemodynamic response data: the grand averaging method, the tensor decomposition method, and the revised grand averaging method. The revised grand averaging method is the same as the grand averaging method but uses information from the tensor decomposition method to inform what time and channel to average across. There were behavioral priming benefits compared to products that were not studied. However, there were no differences across the study conditions. Results revealed processing benefits, not purchasing benefits, for brand-name products studied for different simple attributes as marked by changes in the left prefrontal cortex. The results from tensor decomposition revealed more details on the time and channels of interest than the grand averaging method. Findings suggest that studying different simple attributes of a brand-name product produces benefits in the purchase intention process. Also, findings suggest tensor decomposition is a feasible method for fNIRS signal analysis.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Home economics. $3 568501
650 4 $a Cognitive psychology. $3 556029
653 $a Consumer
653 $a Infrared spectroscopy
653 $a Semantic memory
653 $a Signal processing
653 $a Tensor decomposition
655 7 $a Electronic books. $2 local $3 554714
690 $a 0633
690 $a 0338
690 $a 0386
710 2 $a Florida Atlantic University. $b Experimental Psychology. $3 1473906
710 2 $a ProQuest Information and Learning Co. $3 1178819
773 0 $t Dissertations Abstracts International $g 85-11A.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31146914 $z click for full text (PQDT)