東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Management of Digital Transformation...

Agrawal, Ashwin,

FindBook

Google Book

Amazon

博客來

Management of Digital Transformation Projects in the AEC Industry /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Management of Digital Transformation Projects in the AEC Industry // Ashwin Agrawal.
作者:	Agrawal, Ashwin,
面頁冊數:	1 electronic resource (249 pages)
附註:	Source: Dissertations Abstracts International, Volume: 86-05, Section: A.
Contained By:	Dissertations Abstracts International86-05A.
標題:	Software. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31643318
ISBN:	9798346394808

Management of Digital Transformation Projects in the AEC Industry /
Agrawal, Ashwin,

Management of Digital Transformation Projects in the AEC Industry /Ashwin Agrawal. - 1 electronic resource (249 pages)

Source: Dissertations Abstracts International, Volume: 86-05, Section: A.

The rise of digitalization over the last couple of decades has opened new avenues for the Architecture, Engineering, and Construction (AEC) industry in terms of value creation. This immense potential of digitalization has motivated numerous AEC companies to invest in developing and adapting their digital capabilities. However, despite this enthusiasm, 85% of current big data and digitalization projects fail to deliver the anticipated value and many AEC companies are becoming increasingly anxious about their technology investments. They are struggling to reconcile their traditional and digital perspectives and are uncertain about prioritizing technology investments or selecting from competing technologies when developing digital strategies.Based on our interactions with over 200 practitioners, we observed that a part of this problem arises from two primary factors: (1) Inability to define (and therefore select) what "digitalization" means in a specific use case, given that there is little that cannot be digitalized, and (2) A lack of understanding of how to strategically implement the chosen form of "digitalization" and which stakeholders to involve in the process.To address this gap, this research makes four contributions. These findings are based on the data collected over five years (2018 -- 2023) from three primary sources: (1) Sixteen real-world longitudinal cases spanning between three to eighteen months, (2) Workshops with 173 executives involved in 53 digitalization projects across 42 companies, and (3) Interviews with over 30 experts, involving more than 70 hours of interaction.First, this research proposes a two-dimensional Levels of Digital Twin framework. This framework organizes the types and levels of digitalization according to their unique features and advantages. Furthermore, it highlights the efforts required to build these digitalization levels.Second, this work contributes the Digitalization framework. This framework helps practitioners select the suitable level of digitalization for their specific use case, thus building on the previously defined Levels of Digital Twin.Third, this study proposes a taxonomy for the common starting points for digitalization efforts in the AEC industry. This taxonomy helps practitioners assess their starting point before implementing the selected level of digitalization and determine the most appropriate implementation strategy.Fourth, this research contributes a 3-by-3 digitalization management framework. This framework outlines the strategic processes to follow and the stakeholders to involve in digitalization projects for a successful implementation.The validation of the frameworks revealed that practitioners found them useful in practice to better plan and develop digital strategies. However, the generalizability of the frameworks is limited, given that the case studies are only from the engineering and construction industry. Future research could focus on comparing the findings and their implications with the challenges facing manufacturing, software, and service companies.

English

ISBN: 9798346394808Subjects--Topical Terms:

619355
Software.

Management of Digital Transformation Projects in the AEC Industry /
LDR:04437nmm a22004093i 4500 001 2433682
005 20250903054144.5
006 m o d
007 cr|nu||||||||
008 261011s2023 miu||||||m |||||||eng d
020 $a 9798346394808
035 $a (MiAaPQD)AAI31643318
035 $a (MiAaPQD)Stanfordhc927nn0157
035 $a AAI31643318
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Agrawal, Ashwin, $e author. $3 3823402
245 1 0 $a Management of Digital Transformation Projects in the AEC Industry / $c Ashwin Agrawal.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 1 electronic resource (249 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: 86-05, Section: A.
500 $a Advisors: Fischer, Martin Committee members: Burgelman, Robert; Singh, Vishal; Bent, Stacey F.
502 $b Ph.D. $c Stanford University $d 2023.
520 $a The rise of digitalization over the last couple of decades has opened new avenues for the Architecture, Engineering, and Construction (AEC) industry in terms of value creation. This immense potential of digitalization has motivated numerous AEC companies to invest in developing and adapting their digital capabilities. However, despite this enthusiasm, 85% of current big data and digitalization projects fail to deliver the anticipated value and many AEC companies are becoming increasingly anxious about their technology investments. They are struggling to reconcile their traditional and digital perspectives and are uncertain about prioritizing technology investments or selecting from competing technologies when developing digital strategies.Based on our interactions with over 200 practitioners, we observed that a part of this problem arises from two primary factors: (1) Inability to define (and therefore select) what "digitalization" means in a specific use case, given that there is little that cannot be digitalized, and (2) A lack of understanding of how to strategically implement the chosen form of "digitalization" and which stakeholders to involve in the process.To address this gap, this research makes four contributions. These findings are based on the data collected over five years (2018 -- 2023) from three primary sources: (1) Sixteen real-world longitudinal cases spanning between three to eighteen months, (2) Workshops with 173 executives involved in 53 digitalization projects across 42 companies, and (3) Interviews with over 30 experts, involving more than 70 hours of interaction.First, this research proposes a two-dimensional Levels of Digital Twin framework. This framework organizes the types and levels of digitalization according to their unique features and advantages. Furthermore, it highlights the efforts required to build these digitalization levels.Second, this work contributes the Digitalization framework. This framework helps practitioners select the suitable level of digitalization for their specific use case, thus building on the previously defined Levels of Digital Twin.Third, this study proposes a taxonomy for the common starting points for digitalization efforts in the AEC industry. This taxonomy helps practitioners assess their starting point before implementing the selected level of digitalization and determine the most appropriate implementation strategy.Fourth, this research contributes a 3-by-3 digitalization management framework. This framework outlines the strategic processes to follow and the stakeholders to involve in digitalization projects for a successful implementation.The validation of the frameworks revealed that practitioners found them useful in practice to better plan and develop digital strategies. However, the generalizability of the frameworks is limited, given that the case studies are only from the engineering and construction industry. Future research could focus on comparing the findings and their implications with the challenges facing manufacturing, software, and service companies.
546 $a English
590 $a School code: 0212
650 4 $a Software. $2 gtt. $3 619355
650 4 $a Ethnography. $3 705632
650 4 $a Roads & highways. $3 3555163
650 4 $a Motivation. $3 532704
650 4 $a Computer vision. $3 540671
650 4 $a Digital twins. $3 3816704
650 4 $a Taxonomy. $3 3556303
650 4 $a Access to information. $3 3681263
650 4 $a Digital technology. $3 3561497
650 4 $a Computer engineering. $3 621879
650 4 $a Cultural anthropology. $3 2122764
650 4 $a Industrial engineering. $3 526216
650 4 $a Transportation. $3 555912
690 $a 0800
690 $a 0464
690 $a 0326
690 $a 0546
690 $a 0709
710 2 $a Stanford University. $e degree granting institution. $3 3765820
720 1 $a Fischer, Martin $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-05A.
790 $a 0212
791 $a Ph.D.
792 $a 2023
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31643318