國立虎尾科技大學 |

Artificial Intelligence/Machine Learning as a Tool for Project Management Enhancement : = A Qualitative Study on the Future of Technology in Increasing the Effectiveness of Project Managers.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Artificial Intelligence/Machine Learning as a Tool for Project Management Enhancement :/
其他題名:	A Qualitative Study on the Future of Technology in Increasing the Effectiveness of Project Managers.
作者:	Williams, LC Brooks.
面頁冊數:	1 online resource (165 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-08, Section: B.
Contained By:	Dissertations Abstracts International85-08B.
標題:	Information technology. -
電子資源:	click for full text (PQDT)
ISBN:	9798381686449

Artificial Intelligence/Machine Learning as a Tool for Project Management Enhancement : = A Qualitative Study on the Future of Technology in Increasing the Effectiveness of Project Managers.
Williams, LC Brooks.

Artificial Intelligence/Machine Learning as a Tool for Project Management Enhancement :A Qualitative Study on the Future of Technology in Increasing the Effectiveness of Project Managers. - 1 online resource (165 pages)

Source: Dissertations Abstracts International, Volume: 85-08, Section: B.

Thesis (D.I.T.)--Capella University, 2024.

Includes bibliographical references

Projects are critical for all organizations. Over the years, a large number of literatures have highlighted that most projects fail due to inefficiencies in the current process. Technology has always been seen as a solution that could help in tackling the inefficiencies in the system. Machine learning-based systems have been used increasingly in different activities across multiple industries with the aim of increasing the efficiency of these activities while reducing errors. Previous literature has also shown the capability and use of ML in project management activities. At the same time, the literature on the topic is sparse, and there are no findings that highlight the use and effectiveness of implementing these tools for project management. Though the studies have highlighted the benefits and capabilities of its use in project management and its potential, the lack of data in guidelines regarding its adoption is a critical issue. The studies in the field have largely been aimed at exploring the possible benefits or barriers to adopting the new technology within the realm of project management but lack the required guidelines that would help adopt the tool and the critical issues that impact this adoption. The research question for the study explores the perceived usefulness of AI/ML across industries within project management. To find the answer to this, the study approach consisted of a generic qualitative research design that makes use of structured interviews conducted with ten experts with prior experience in using the tool for project management to express their perceived view of the tool and its need. From the responses and thematic analysis, we found that ML benefits the organization in risk management, resources management, communication, and planning and helps improve the overall decision-making in different activities. That said, many factors have been identified as responsible for the limited adoption. Some issues are the poor quality of data, concerns about regulations on data use and security threats, lack of awareness, and concerns regarding the cost, integration of technology with existing systems, and return on investment. The responses also highlight the perception that collaboration and PMI developing guidelines with the help of experts in the field would be critical for reducing the barriers. The research helps highlight and provide more information regarding ML's role in PM activities and also helps understand the limitations. It allows future researchers to further the development in the field, providing specific areas that could be focused on.

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

Mode of access: World Wide Web

ISBN: 9798381686449Subjects--Topical Terms:

559429
Information technology.
Subjects--Index Terms:

Building information modelingIndex Terms--Genre/Form:

554714
Electronic books.

Artificial Intelligence/Machine Learning as a Tool for Project Management Enhancement : = A Qualitative Study on the Future of Technology in Increasing the Effectiveness of Project Managers.
LDR:04127ntm a22003977 4500 001 1147854
005 20240916075415.5
006 m o d
007 cr bn ---uuuuu
008 250605s2024 xx obm 000 0 eng d
020 $a 9798381686449
035 $a (MiAaPQ)AAI30991003
035 $a AAI30991003
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Williams, LC Brooks. $3 1473683
245 1 0 $a Artificial Intelligence/Machine Learning as a Tool for Project Management Enhancement : $b A Qualitative Study on the Future of Technology in Increasing the Effectiveness of Project Managers.
264 0 $c 2024
300 $a 1 online resource (165 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: 85-08, Section: B.
500 $a Advisor: Mostafa, Ahmad;Litchmore, Kondo.
502 $a Thesis (D.I.T.)--Capella University, 2024.
504 $a Includes bibliographical references
520 $a Projects are critical for all organizations. Over the years, a large number of literatures have highlighted that most projects fail due to inefficiencies in the current process. Technology has always been seen as a solution that could help in tackling the inefficiencies in the system. Machine learning-based systems have been used increasingly in different activities across multiple industries with the aim of increasing the efficiency of these activities while reducing errors. Previous literature has also shown the capability and use of ML in project management activities. At the same time, the literature on the topic is sparse, and there are no findings that highlight the use and effectiveness of implementing these tools for project management. Though the studies have highlighted the benefits and capabilities of its use in project management and its potential, the lack of data in guidelines regarding its adoption is a critical issue. The studies in the field have largely been aimed at exploring the possible benefits or barriers to adopting the new technology within the realm of project management but lack the required guidelines that would help adopt the tool and the critical issues that impact this adoption. The research question for the study explores the perceived usefulness of AI/ML across industries within project management. To find the answer to this, the study approach consisted of a generic qualitative research design that makes use of structured interviews conducted with ten experts with prior experience in using the tool for project management to express their perceived view of the tool and its need. From the responses and thematic analysis, we found that ML benefits the organization in risk management, resources management, communication, and planning and helps improve the overall decision-making in different activities. That said, many factors have been identified as responsible for the limited adoption. Some issues are the poor quality of data, concerns about regulations on data use and security threats, lack of awareness, and concerns regarding the cost, integration of technology with existing systems, and return on investment. The responses also highlight the perception that collaboration and PMI developing guidelines with the help of experts in the field would be critical for reducing the barriers. The research helps highlight and provide more information regarding ML's role in PM activities and also helps understand the limitations. It allows future researchers to further the development in the field, providing specific areas that could be focused on.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Information technology. $3 559429
650 4 $a Computer science. $3 573171
653 $a Building information modeling
653 $a Deep learning
653 $a Machine learning
653 $a Project management
653 $a Project success
655 7 $a Electronic books. $2 local $3 554714
690 $a 0489
690 $a 0984
690 $a 0800
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Capella University. $b School of Business, Technology and Health Administration. $3 1372514
773 0 $t Dissertations Abstracts International $g 85-08B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30991003 $z click for full text (PQDT)