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Digital Transformation: How to Beat ...
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Ramesh, Nagesh.
Digital Transformation: How to Beat the High Failure Rate?
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Digital Transformation: How to Beat the High Failure Rate?/
Author:
Ramesh, Nagesh.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:
74 p.
Notes:
Source: Dissertations Abstracts International, Volume: 81-05, Section: B.
Contained By:
Dissertations Abstracts International81-05B.
Subject:
Information technology. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13805587
ISBN:
9781088382479
Digital Transformation: How to Beat the High Failure Rate?
Ramesh, Nagesh.
Digital Transformation: How to Beat the High Failure Rate?
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 74 p.
Source: Dissertations Abstracts International, Volume: 81-05, Section: B.
Thesis (Ph.D.)--Oklahoma State University, 2019.
This item must not be sold to any third party vendors.
Firms every year spend $1.3 trillion on digital transformation programs to improve efficiency because digital leaders outperform their peers in nearly every industry. However, digital transformations that are intended to improve efficiency (e.g., ERP, CRM, Analytics, etc.) have a high failure rate (up to 90%), resulting in adverse impact to firms’ operations and intent to further innovate. While extant research talks about the importance of vision, management, and culture as critical success factors, even digital transformations within the same firm often fail to achieve similar results. Based on Diffusion of Innovation theory and data from three digital transformation programs within a firm that achieved vastly different results, I posit five factors as key influencers of digital transformation success: a) Innovation Attributes, b) Opinion Leaders, c) Diffusion Approach, d) Timing, and e) Duration. I also use machine learning (ML) techniques such as leave-one-out-cross-validation (LOOCV) to show the superiority of ML over regression to determine feature importance. In addition to contributing to theory, this research will help practitioners increase the success rate of future digital transformations.
ISBN: 9781088382479Subjects--Topical Terms:
559429
Information technology.
Subjects--Index Terms:
Diffusion approach
Digital Transformation: How to Beat the High Failure Rate?
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Firms every year spend $1.3 trillion on digital transformation programs to improve efficiency because digital leaders outperform their peers in nearly every industry. However, digital transformations that are intended to improve efficiency (e.g., ERP, CRM, Analytics, etc.) have a high failure rate (up to 90%), resulting in adverse impact to firms’ operations and intent to further innovate. While extant research talks about the importance of vision, management, and culture as critical success factors, even digital transformations within the same firm often fail to achieve similar results. Based on Diffusion of Innovation theory and data from three digital transformation programs within a firm that achieved vastly different results, I posit five factors as key influencers of digital transformation success: a) Innovation Attributes, b) Opinion Leaders, c) Diffusion Approach, d) Timing, and e) Duration. I also use machine learning (ML) techniques such as leave-one-out-cross-validation (LOOCV) to show the superiority of ML over regression to determine feature importance. In addition to contributing to theory, this research will help practitioners increase the success rate of future digital transformations.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13805587
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