國立虎尾科技大學 |

Perceived Sensemaking and Communication Effectiveness in Complex AI/ML Environments : = a Quantitative Study on Software Engineers in Multinational Companies.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Perceived Sensemaking and Communication Effectiveness in Complex AI/ML Environments :/
其他題名:	a Quantitative Study on Software Engineers in Multinational Companies.
作者:	Holst, Amanda L.
面頁冊數:	1 online resource (196 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-09, Section: A.
Contained By:	Dissertations Abstracts International85-09A.
標題:	Information science. -
電子資源:	click for full text (PQDT)
ISBN:	9798381851878

Perceived Sensemaking and Communication Effectiveness in Complex AI/ML Environments : = a Quantitative Study on Software Engineers in Multinational Companies.
Holst, Amanda L.

Perceived Sensemaking and Communication Effectiveness in Complex AI/ML Environments :a Quantitative Study on Software Engineers in Multinational Companies. - 1 online resource (196 pages)

Source: Dissertations Abstracts International, Volume: 85-09, Section: A.

Thesis (Ph.D.)--Indiana Institute of Technology, 2023.

Includes bibliographical references

In the dynamic realm of AI and ML technologies, characterized by intricate data and interdisciplinary collaboration, this study investigates perceived sensemaking and communication effectiveness. This research addresses emerging challenges in AI/ML integration and the development of AI-driven software systems, aiming to bridge knowledge gaps, offer practical contributions, and serve as a valuable resource for global leaders navigating the complex AI/ML landscape. Focused on software engineers in multinational U.S. companies, the research examines perceived sensemaking and communication effectiveness during AI/ML project requirement gathering. Using a quantitative correlational approach, it uncovers a strong positive correlation between perceived sensemaking and individual communication effectiveness, emphasizing sensemaking's crucial role. While leveraging prior knowledge enhances sensemaking, challenges emerge in connecting elements, revealing a gap between data and cognitive framing. The study identifies strong positive correlations between sensemaking and high communication effectiveness. Complexity Leadership Theory underpins the research, advocating adaptability and collaboration in AI/ML settings. It suggests further exploration in sensemaking, AI/ML standards, and global leadership, emphasizing leadership development, multidisciplinary training, cultural diversity, and adaptive organizations. These findings stress the importance of Complexity Leadership and effective communication in AI/ML projects for global leaders and organizations.

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

Mode of access: World Wide Web

ISBN: 9798381851878Subjects--Topical Terms:

561178
Information science.
Subjects--Index Terms:

AI/ML softwareIndex Terms--Genre/Form:

554714
Electronic books.

Perceived Sensemaking and Communication Effectiveness in Complex AI/ML Environments : = a Quantitative Study on Software Engineers in Multinational Companies.
LDR:03131ntm a22004097 4500 001 1146251
005 20240812064352.5
006 m o d
007 cr bn ---uuuuu
008 250605s2023 xx obm 000 0 eng d
020 $a 9798381851878
035 $a (MiAaPQ)AAI30989849
035 $a AAI30989849
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Holst, Amanda L. $3 1471609
245 1 0 $a Perceived Sensemaking and Communication Effectiveness in Complex AI/ML Environments : $b a Quantitative Study on Software Engineers in Multinational Companies.
264 0 $c 2023
300 $a 1 online resource (196 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: 85-09, Section: A.
500 $a Advisor: Bottomley, Kevin.
502 $a Thesis (Ph.D.)--Indiana Institute of Technology, 2023.
504 $a Includes bibliographical references
520 $a In the dynamic realm of AI and ML technologies, characterized by intricate data and interdisciplinary collaboration, this study investigates perceived sensemaking and communication effectiveness. This research addresses emerging challenges in AI/ML integration and the development of AI-driven software systems, aiming to bridge knowledge gaps, offer practical contributions, and serve as a valuable resource for global leaders navigating the complex AI/ML landscape. Focused on software engineers in multinational U.S. companies, the research examines perceived sensemaking and communication effectiveness during AI/ML project requirement gathering. Using a quantitative correlational approach, it uncovers a strong positive correlation between perceived sensemaking and individual communication effectiveness, emphasizing sensemaking's crucial role. While leveraging prior knowledge enhances sensemaking, challenges emerge in connecting elements, revealing a gap between data and cognitive framing. The study identifies strong positive correlations between sensemaking and high communication effectiveness. Complexity Leadership Theory underpins the research, advocating adaptability and collaboration in AI/ML settings. It suggests further exploration in sensemaking, AI/ML standards, and global leadership, emphasizing leadership development, multidisciplinary training, cultural diversity, and adaptive organizations. These findings stress the importance of Complexity Leadership and effective communication in AI/ML projects for global leaders and organizations.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Information science. $3 561178
653 $a AI/ML software
653 $a AI/ML software engineers
653 $a Complexity Leadership Theory
653 $a Effective Communication Effectiveness
653 $a Individual Perceived Sensemaking
653 $a multinational companies
655 7 $a Electronic books. $2 local $3 554714
690 $a 0454
690 $a 0635
690 $a 0723
710 2 $a Indiana Institute of Technology. $b Global Leadership. $3 1469211
710 2 $a ProQuest Information and Learning Co. $3 1178819
773 0 $t Dissertations Abstracts International $g 85-09A.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30989849 $z click for full text (PQDT)