語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Network Interactions-- Implementing ...
~
ProQuest Information and Learning Co.
Network Interactions-- Implementing Systems Theory to Examine NCAA Basketball Twitter Accounts.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Network Interactions-- Implementing Systems Theory to Examine NCAA Basketball Twitter Accounts./
作者:
Crowley, Kristy.
面頁冊數:
1 online resource (142 pages)
附註:
Source: Dissertation Abstracts International, Volume: 77-12(E), Section: A.
標題:
Sports Management. -
電子資源:
click for full text (PQDT)
ISBN:
9781339823591
Network Interactions-- Implementing Systems Theory to Examine NCAA Basketball Twitter Accounts.
Crowley, Kristy.
Network Interactions-- Implementing Systems Theory to Examine NCAA Basketball Twitter Accounts.
- 1 online resource (142 pages)
Source: Dissertation Abstracts International, Volume: 77-12(E), Section: A.
Thesis (Ed.D.)--Northcentral University, 2016.
Includes bibliographical references
By understanding the formation of social media platforms and the ways in which actors on these platforms communicate, sports organizations can be assisted in devising appropriate marketing strategies and communication plans to engage their consumers at a higher level. This is extremely important in developing long-lasting relationships between sports fans and sports entities. If social media is meant to facilitate human connections and interaction, then a greater understanding is needed regarding the formation of social networks within Twitter's oftentimes decentralized world. Therefore, the purpose of this mixed method study was to employ systems theory as the theoretical framework to examine user characteristics of 10 NCAA basketball conferences on Twitter. A social network analysis and content analysis were used to address the problem, with an emphasis on systems theory. The results of this examination indicated that an identifiable network was found among the observed actors (n = 799), with fans composing the largest percentage of the network (59%). The number of observed reciprocal communication was low, only 5% of the interactions, and only 7% of the nodes. Messages were predominantly directed at team-related actors, yet these actors did not reciprocate communication with the message originators to a high degree (11%). A system theory-based network was found, and included input, throughput, and output components. The feedback loop was the weak link in the network, indicating a possible lack of importance of direct feedback on the social media platform, Twitter. Conferences predominantly utilized Twitter to provide information to followers, ultimately neglecting fan engagement-directed activities. Recommendations for future studies include a study replication of other business sectors, sports, and Divisions (DI, DII), time expansion, and the consideration of other actors within the network.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9781339823591Subjects--Topical Terms:
1180497
Sports Management.
Index Terms--Genre/Form:
554714
Electronic books.
Network Interactions-- Implementing Systems Theory to Examine NCAA Basketball Twitter Accounts.
LDR
:03136ntm a2200337K 4500
001
912948
005
20180614071643.5
006
m o u
007
cr mn||||a|a||
008
190606s2016 xx obm 000 0 eng d
020
$a
9781339823591
035
$a
(MiAaPQ)AAI10124233
035
$a
(MiAaPQ)northcentral:11158
035
$a
AAI10124233
040
$a
MiAaPQ
$b
eng
$c
MiAaPQ
100
1
$a
Crowley, Kristy.
$3
1185538
245
1 0
$a
Network Interactions-- Implementing Systems Theory to Examine NCAA Basketball Twitter Accounts.
264
0
$c
2016
300
$a
1 online resource (142 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: 77-12(E), Section: A.
500
$a
Adviser: Richard Remedios.
502
$a
Thesis (Ed.D.)--Northcentral University, 2016.
504
$a
Includes bibliographical references
520
$a
By understanding the formation of social media platforms and the ways in which actors on these platforms communicate, sports organizations can be assisted in devising appropriate marketing strategies and communication plans to engage their consumers at a higher level. This is extremely important in developing long-lasting relationships between sports fans and sports entities. If social media is meant to facilitate human connections and interaction, then a greater understanding is needed regarding the formation of social networks within Twitter's oftentimes decentralized world. Therefore, the purpose of this mixed method study was to employ systems theory as the theoretical framework to examine user characteristics of 10 NCAA basketball conferences on Twitter. A social network analysis and content analysis were used to address the problem, with an emphasis on systems theory. The results of this examination indicated that an identifiable network was found among the observed actors (n = 799), with fans composing the largest percentage of the network (59%). The number of observed reciprocal communication was low, only 5% of the interactions, and only 7% of the nodes. Messages were predominantly directed at team-related actors, yet these actors did not reciprocate communication with the message originators to a high degree (11%). A system theory-based network was found, and included input, throughput, and output components. The feedback loop was the weak link in the network, indicating a possible lack of importance of direct feedback on the social media platform, Twitter. Conferences predominantly utilized Twitter to provide information to followers, ultimately neglecting fan engagement-directed activities. Recommendations for future studies include a study replication of other business sectors, sports, and Divisions (DI, DII), time expansion, and the consideration of other actors within the network.
533
$a
Electronic reproduction.
$b
Ann Arbor, Mich. :
$c
ProQuest,
$d
2018
538
$a
Mode of access: World Wide Web
650
4
$a
Sports Management.
$3
1180497
650
4
$a
Marketing.
$3
557931
650
4
$a
Web studies.
$3
1148502
655
7
$a
Electronic books.
$2
local
$3
554714
690
$a
0430
690
$a
0338
690
$a
0646
710
2
$a
ProQuest Information and Learning Co.
$3
1178819
710
2
$a
Northcentral University.
$b
School of Education.
$3
1179614
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10124233
$z
click for full text (PQDT)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入