東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

If We Build It, Will They Come? A Qu...

Cunningham, Michael J.

Linked to FindBook

Google Book

Amazon

博客來

If We Build It, Will They Come? A Quantitative Analysis of Emerging Technologies in the Sports & Entertainment Setting.

Record Type:	Electronic resources : Monograph/item
Title/Author:	If We Build It, Will They Come? A Quantitative Analysis of Emerging Technologies in the Sports & Entertainment Setting./
Author:	Cunningham, Michael J.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:	95 p.
Notes:	Source: Dissertations Abstracts International, Volume: 85-02, Section: B.
Contained By:	Dissertations Abstracts International85-02B.
Subject:	Information technology. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30525005
ISBN:	9798380151245

If We Build It, Will They Come? A Quantitative Analysis of Emerging Technologies in the Sports & Entertainment Setting.
Cunningham, Michael J.

If We Build It, Will They Come? A Quantitative Analysis of Emerging Technologies in the Sports & Entertainment Setting. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 95 p.

Source: Dissertations Abstracts International, Volume: 85-02, Section: B.

Thesis (D.B.A.)--Temple University, 2023.

As consumers continue to adopt and adapt to newer technologies, firms face a common question adapted from the 1989 motion picture Field of Dreams: "If we build it, will they come?" Until recently, it has been assumed that the answer will always be "yes." However, to properly expand upon this question, we look in this paper to the research proposed around the same time the aforementioned feature film was released to understand the application of Davis's Technology Acceptance Model (1986) as it relates to newer emerging technologies such as Facial authentication as an alternative to the point-of-entry at public event spaces. The introduction of biometrics as a method of entry creates an opportunity to examine the tension between this technology and user acceptance of privacy. The option of mobile ordering juxtaposed with traditional point-of-sale and physically waiting in line provides insight into a second sub-setting to address technology adoption's impact on revenue.The first study leverages secondary data collected from a pilot program conducted at three Major League Baseball stadiums in 2021 to examine the use and efficacy of Facial authentication as a point-of-entry solution and alternative to mobile ticketing. This study analyzed the data collected in pre- and post-participant surveys and transactional data from 21 events in 30 days (n=343). The study uses secondary data to test two hypothetical scenarios through variables such as the method of entry and patron traits to determine if a relationship exists between one or more of the variables.The second study focuses on understanding the use of a newly introduced technology within the sub-setting of concessions in the sports & entertainment setting. The data was collected from 45 consecutive events over 25832 individual transactions and examined the influence of mobile ordering on revenue and patron behavior (n=557). The setting provides an opportunity for examination of variables impacting the firm as juxtaposed with legacy technology.The study establishes setting and sub-settings related to sports & entertainment. The primary setting is the venue, which contains sub-settings permeated with emerging technologies. The two sub-settings examined are the first two settings patrons typically interact with on a given event level. Point-of-entry provided for examinations of patron use of a newly introduced facial authentication platform, which affirms TAM and UTAUT models. In the second study the count of items within a mobile ordering transaction were significant and led to creation of a new variable which measures average revenue per item per transaction. This new variable shed light into a key finding. Interestingly enough, the second sub-setting provided insight into consumer spending habits through the newly introduced technology that led to findings related to revenue and conclusions for the firm regarding future deployment and positioning of the technology.

ISBN: 9798380151245Subjects--Topical Terms:

532993
Information technology.
Subjects--Index Terms:

Mobile ordering

If We Build It, Will They Come? A Quantitative Analysis of Emerging Technologies in the Sports & Entertainment Setting.
LDR:04178nmm a2200385 4500 001 2398741
005 20240812065023.5
006 m o d
007 cr#unu||||||||
008 251215s2023 ||||||||||||||||| ||eng d
020 $a 9798380151245
035 $a (MiAaPQ)AAI30525005
035 $a AAI30525005
040 $a MiAaPQ $c MiAaPQ
100 1 $a Cunningham, Michael J. $3 2373134
245 1 0 $a If We Build It, Will They Come? A Quantitative Analysis of Emerging Technologies in the Sports & Entertainment Setting.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 95 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-02, Section: B.
500 $a Advisor: Pang, Min-Seok.
502 $a Thesis (D.B.A.)--Temple University, 2023.
520 $a As consumers continue to adopt and adapt to newer technologies, firms face a common question adapted from the 1989 motion picture Field of Dreams: "If we build it, will they come?" Until recently, it has been assumed that the answer will always be "yes." However, to properly expand upon this question, we look in this paper to the research proposed around the same time the aforementioned feature film was released to understand the application of Davis's Technology Acceptance Model (1986) as it relates to newer emerging technologies such as Facial authentication as an alternative to the point-of-entry at public event spaces. The introduction of biometrics as a method of entry creates an opportunity to examine the tension between this technology and user acceptance of privacy. The option of mobile ordering juxtaposed with traditional point-of-sale and physically waiting in line provides insight into a second sub-setting to address technology adoption's impact on revenue.The first study leverages secondary data collected from a pilot program conducted at three Major League Baseball stadiums in 2021 to examine the use and efficacy of Facial authentication as a point-of-entry solution and alternative to mobile ticketing. This study analyzed the data collected in pre- and post-participant surveys and transactional data from 21 events in 30 days (n=343). The study uses secondary data to test two hypothetical scenarios through variables such as the method of entry and patron traits to determine if a relationship exists between one or more of the variables.The second study focuses on understanding the use of a newly introduced technology within the sub-setting of concessions in the sports & entertainment setting. The data was collected from 45 consecutive events over 25832 individual transactions and examined the influence of mobile ordering on revenue and patron behavior (n=557). The setting provides an opportunity for examination of variables impacting the firm as juxtaposed with legacy technology.The study establishes setting and sub-settings related to sports & entertainment. The primary setting is the venue, which contains sub-settings permeated with emerging technologies. The two sub-settings examined are the first two settings patrons typically interact with on a given event level. Point-of-entry provided for examinations of patron use of a newly introduced facial authentication platform, which affirms TAM and UTAUT models. In the second study the count of items within a mobile ordering transaction were significant and led to creation of a new variable which measures average revenue per item per transaction. This new variable shed light into a key finding. Interestingly enough, the second sub-setting provided insight into consumer spending habits through the newly introduced technology that led to findings related to revenue and conclusions for the firm regarding future deployment and positioning of the technology.
590 $a School code: 0225.
650 4 $a Information technology. $3 532993
650 4 $a Sports management. $3 3423935
653 $a Mobile ordering
653 $a Technology Acceptance Model
653 $a Facial authentication
653 $a Legacy technology
653 $a Consumer spending habits
690 $a 0489
690 $a 0338
690 $a 0430
710 2 $a Temple University. $b Business Administration/Management Information Systems. $3 2099959
773 0 $t Dissertations Abstracts International $g 85-02B.
790 $a 0225
791 $a D.B.A.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30525005