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Copyright 2021, JAIST Naoshi Uchihira.
KICSS 2021
Session : Creativity Support and Collaborative III
The Nature of Digital Transformation Project
Failures: Impeding Factors to Stakeholder
Collaboration
1
Oct 25, 2021 14:45-15:10 (Thailand)
Naoshi Uchihira, Tatsuya Eimura
Japan Advanced Institute of Science &
Technology
uchihira@jaist.ac.jp 20 minutes
presentation
2
Outline
The need for DX projects has
been widely recognized.
However, many DX projects
(84%) fail.
Stakeholder collaborations are
necessary for DX project
success. There are various
difficulties to stakeholder
collaborations.
We find 7 typical difficulty
patterns by interviews for six
experts involved in DX projects
We have identified six essential
impeding factors that cause these
difficulty patterns
We examine these impeding
factors and suggest possible
solutions to eliminate them.
Information Gap
Experience Gap
Perception of the
Future
Incompatible
Evaluation Criteria
Conflict of Interest
Lack of Mutual Trust
1. Current business takes priority and there
is no time for DX.
2. Return on investment cannot be explained.
3. The business operation division is not
aware of the intentions of top management
and the DX promotion division.
4. Data scientists don't know what's going
on in business operations.
5. Customers don't want to give their data to
IT vendors.
6. The business operation division is
satisfied with the current process.
7. Unclear purpose of AI implementation
triggered by the AI boom.
Impeding Factors Difficulty Patterns
Factorization is useful for
problem solving.
New Findings
DX: Digital Transformation
3
Many DX projects fail!
Rogers, B.: Why 84% Of
Companies Fail at Digital
Transformation.
DX Projects Success
Failure
Unknown
Japanese Companies (IPA DX Report)
49.5
22.6
27.9
4
Why DX fail? Gaps among Stakeholders
Executives
DX Promotion Div.
Operation Managers
Operation Staffs
Sense of
crisis
Discussion
with outside.
DX???
QCD is the
important.
No Concrete Image
Immediate Results
Different Priorities
No Motivation
Consultants
IT Venders
Imposing
solutions.
Less Operation Knowledge
Company
5
Literature Review (1)
Success and failure factors of DX:
• [3] Davenport and Westerman (2018), Why so many high-profile
digital transformations fail.
• [4] Osmundsen et al. (2018), Digital Transformation: Drivers,
Success Factors, and Implications.
• [6] Mhlungu et al. (2019), The underlying factors of a successful
organisational digital transformation.
• [9] Stief et al. (2016), Transform to succeed: An empirical analysis
of digital transformation in firms.
Gaps and Impediments to stakeholder collaborations are
seldom discussed.
6
Literature Review (2)
•Ikegami and Iijima [10] identified challenges in DX
promotion, which include the siloed nature of DX and lack
of an overall strategy.
•Bilgeri et al. [11] mentioned the difficulty of collaboration
between business units in large manufacturing companies.
•These studies mentioned that difficulties in stakeholder
collaboration are one of the primary factors of DX failures.
However, its root cause has not been comprehensively
analyzed.
This paper focuses on and analyzes the essential factors
impeding stakeholder collaborations.
7
Research Method: Expert Interview and Qualitative Analysis
Company Attribute Division
A Electric Appliance
Manufacturer
DX Promotion Division
B Electric Appliance
Manufacturer
R&D Division
C Materials Manufacturer DX Promotion Division
D E-commerce Company In-house Systems Development
Division
E AI System Vender Executive
F Medical Outsourcing
Company
In-house Systems Development
Division
We classified and analyzed the impediments of DX projects
through semi-structured 1-2 hour online interviews for six experts
involved in DX projects at six Japanese companies.
8
C
1
A F
A
2
B E
D
C
2
Code System
DX (Data Infrastructure)
DX (Business)
Organization
Top Management
Customer/User
Corporate Culture
Knowledge/Education
DX Challenges
Executive vs DX Promotion
DX Promotion vs Field
Field
DX Promotion
IT Venders
Sense of Urgency
Mission
Interviewees
Qualitative Analysis: Code Matrix (MAXQDA)
9
7 Typical Difficulty Patterns
1. Current business takes priority and there is no time for DX.
(Business operations division and DX promotion division)
2. Return on investment cannot be explained.
(Business operations division and DX promotion division)
3. The business operations division is not aware of the intentions of top
management and the DX promotion division.
(Executives, DX promotion division, and business operations division)
4. Data scientists do not know what is going on in business operations.
(DX-related technology division and business operations division)
5. Customers do not want to give their data to IT vendors.
(IT vendor and business operations division)
6. The business operations division is satisfied with the current process.
(DX promotion division and business operations division)
7. Unclear purpose of AI implementation triggered by the AI boom.
(IT vendor and business operations division)
10
7 Typical Difficulty Patterns
Executives
DX Promotion Div.
Operation Managers
Operation Staffs
Consultants
IT Venders
Company
①
②
④
⑥
③
⑤⑦
11
Difficulty Pattern 1
Business operations div. ⇔ DX promotion div.
Current business takes priority and there is no
time for DX in business operations division.
“If you’re an IT engineer, you’re probably aware of AI.
However, I have the impression that the section of the
information system division I belong to has its hands full
with the work, rather than thinking about how to utilize AI.
They have an awareness of AI, but the word AI is almost
never mentioned in their work routine.” (Interviewee F)
12
Difficulty Pattern 3
Executives+DX promotion div.⇔ Business
operations div.
The business operations division is not aware
of the intentions of top management and the
DX promotion division.
“Although the DX is being envisioned by the top
management and the DX promoters, it is not being
communicated well to the business operations division.
Also, there is an atmosphere that says why don’t we just
introduce it anyway?” (Interviewee A)
13
Factorization
Difficulty
Pattern
Difficulty
Pattern
Difficulty
Pattern
Difficulty
Pattern
Difficulty
Pattern
Difficulty
Pattern
Difficulty
Pattern
There is a complex interplay of these difficulty types. It
is necessary to break them down into their more
fundamental elements in order to solve them.
Fundamental Elements
14
Impeding Factors in Stakeholder Collaborations
•Group1: Knowledge Gap
–(1) information gap (explicit knowledge)
–(2) experience gap (tacit knowledge)
•Group2: Profit-loss Gap
–(3) incompatible evaluation criteria
–(4) conflict of interest
•Group3: Perception Gap
–(5) perception of the future
–(6) lack of mutual trust
15
Knowledge Gap
Impediments Example
Information Gap
(Explicit
Knowledge)
The business operations division
is not aware of the latest AI
technology held by the DX
promotion division.
Experience Gap
(Tacit
Knowledge)
DX promotion division and IT
vendors try to promote DX with
idealism without knowing the
actual business operation.
16
Profit-loss Gap
Impediments Example
Incompatible
Evaluation Criteria
The DX promotion division
wants to promote DX, but the
front line prioritizes the steady
execution of the current work.
Conflict of Interest IT vendors want all of
customers’ data, but
customers do not want to
provide their know-how to IT
vendors.
17
Perception Gap
Impediments Example
Perception Gap of
the Future
The executives thinks that there
is no future if DX is not
promoted, but the front line
thinks that the current
extension is sufficient.
Lack of Mutual
Trust
Members may wonder if DX is
really going to work, but they
can go along with it if they trust
a leader in the DX project.
18
Information Gap
(Explicit Knowledge)
Experience Gap
(Tacit Knowledge)
Perception of the
Future
Incompatible
Evaluation Criteria
Conflict of Interest
Lack of Mutual Trust
1. Current business takes priority and there
is no time for DX.
2. Return on investment cannot be explained.
3. The business operation division is not
aware of the intentions of top management
and the DX promotion division.
4. Data scientists don't know what's going on
in business operations.
5. Customers don't want to give their data to
IT vendors.
6. The business operation division is
satisfied with the current process.
7. Unclear purpose of AI implementation
triggered by the AI boom.
Impeding Factors Difficulty Patterns
Impeding Factors and Difficulty Patterns
19
Discussion: How to Remove Impediments
(1) Information (Explicit Knowledge) Gap
It is unrealistic for people in the business operations division
to learn the latest AI. The poor absorptive capacity is one of
the causes of this gap. To bridge it, it is necessary to
translate the information appropriately.
(2) Experience (Tacit Knowledge) Gap
The experience knowledge has information stickiness. Close
interaction and mutual empathy can bridge this gap.
Personnel exchange is effective (veterans of the business
operations division move to the DX promotion division).
Business ethnography may also be an effective method.
20
Discussion: How to Remove Impediments
(3) Incompatible Evaluation Criteria
If an organization’s existing evaluation criteria are not
compatible with DX promotion. The evaluation criteria need
to be changed.
(4) Conflict of Interest
An appropriate contract can make the promotion of DX
beneficial for both parties. A guideline authorized by the
government about a contract about data and AI model is
helpful.
21
Discussion: How to Remove Impediments
(5) Perception Gap of the Future
It is critically important to develop and share a digital vision.
Digital leadership is required for its steady implementation.
Roadmapping is an effective dialog tool for filling recognition
gaps among the stakeholders.
(6) Lack of Mutual Trust
Mutual trust is formed on past achievements and
relationships. It is also important to implement “NEMAWASHI
(informal negotiation)” to gain trust of stakeholders.
22
Difficulty
Pattern
Difficulty
Pattern
Difficulty
Pattern
Difficulty
Pattern
Difficulty
Pattern
Difficulty
Pattern
Difficulty
Pattern
Information Gap
(Explicit Knowledge)
Experience Gap
(Tacit Knowledge)
Perception of the
Future
Incompatible
Evaluation Criteria
Conflict of Interest Lack of Mutual Trust
Superficial Difficulty Patterns of Stakeholder Collaboration
Essential Impeding Factors
Measures and tools to remove impediments
Information
Translation
Business
Ethnography
Discussion: How to Remove Impediments
Evaluation
Criteria
Government
Guideline
Road-
mapping
NEMAWASHI
23
Conclusion
Contribution
Although many previous studies have discussed the superficial
factors directly explaining the success or failure of DX, this
paper is unique in giving a new perspective on six essential
impeding factors to stakeholder collaboration. Factorization is
useful for problem solving.
limitation
There were only six interviewees in Japanese large companies.
In the future, we will increase the number of interviews and
expand the target companies (small and medium-sized
enterprises, companies in Europe, the U.S. and Asia).
24
Thank you for your attention.

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The Nature of Digital Transformation Project Failures: Impeding Factors to Stakeholder Collaborations

  • 1. Copyright 2021, JAIST Naoshi Uchihira. KICSS 2021 Session : Creativity Support and Collaborative III The Nature of Digital Transformation Project Failures: Impeding Factors to Stakeholder Collaboration 1 Oct 25, 2021 14:45-15:10 (Thailand) Naoshi Uchihira, Tatsuya Eimura Japan Advanced Institute of Science & Technology uchihira@jaist.ac.jp 20 minutes presentation
  • 2. 2 Outline The need for DX projects has been widely recognized. However, many DX projects (84%) fail. Stakeholder collaborations are necessary for DX project success. There are various difficulties to stakeholder collaborations. We find 7 typical difficulty patterns by interviews for six experts involved in DX projects We have identified six essential impeding factors that cause these difficulty patterns We examine these impeding factors and suggest possible solutions to eliminate them. Information Gap Experience Gap Perception of the Future Incompatible Evaluation Criteria Conflict of Interest Lack of Mutual Trust 1. Current business takes priority and there is no time for DX. 2. Return on investment cannot be explained. 3. The business operation division is not aware of the intentions of top management and the DX promotion division. 4. Data scientists don't know what's going on in business operations. 5. Customers don't want to give their data to IT vendors. 6. The business operation division is satisfied with the current process. 7. Unclear purpose of AI implementation triggered by the AI boom. Impeding Factors Difficulty Patterns Factorization is useful for problem solving. New Findings DX: Digital Transformation
  • 3. 3 Many DX projects fail! Rogers, B.: Why 84% Of Companies Fail at Digital Transformation. DX Projects Success Failure Unknown Japanese Companies (IPA DX Report) 49.5 22.6 27.9
  • 4. 4 Why DX fail? Gaps among Stakeholders Executives DX Promotion Div. Operation Managers Operation Staffs Sense of crisis Discussion with outside. DX??? QCD is the important. No Concrete Image Immediate Results Different Priorities No Motivation Consultants IT Venders Imposing solutions. Less Operation Knowledge Company
  • 5. 5 Literature Review (1) Success and failure factors of DX: • [3] Davenport and Westerman (2018), Why so many high-profile digital transformations fail. • [4] Osmundsen et al. (2018), Digital Transformation: Drivers, Success Factors, and Implications. • [6] Mhlungu et al. (2019), The underlying factors of a successful organisational digital transformation. • [9] Stief et al. (2016), Transform to succeed: An empirical analysis of digital transformation in firms. Gaps and Impediments to stakeholder collaborations are seldom discussed.
  • 6. 6 Literature Review (2) •Ikegami and Iijima [10] identified challenges in DX promotion, which include the siloed nature of DX and lack of an overall strategy. •Bilgeri et al. [11] mentioned the difficulty of collaboration between business units in large manufacturing companies. •These studies mentioned that difficulties in stakeholder collaboration are one of the primary factors of DX failures. However, its root cause has not been comprehensively analyzed. This paper focuses on and analyzes the essential factors impeding stakeholder collaborations.
  • 7. 7 Research Method: Expert Interview and Qualitative Analysis Company Attribute Division A Electric Appliance Manufacturer DX Promotion Division B Electric Appliance Manufacturer R&D Division C Materials Manufacturer DX Promotion Division D E-commerce Company In-house Systems Development Division E AI System Vender Executive F Medical Outsourcing Company In-house Systems Development Division We classified and analyzed the impediments of DX projects through semi-structured 1-2 hour online interviews for six experts involved in DX projects at six Japanese companies.
  • 8. 8 C 1 A F A 2 B E D C 2 Code System DX (Data Infrastructure) DX (Business) Organization Top Management Customer/User Corporate Culture Knowledge/Education DX Challenges Executive vs DX Promotion DX Promotion vs Field Field DX Promotion IT Venders Sense of Urgency Mission Interviewees Qualitative Analysis: Code Matrix (MAXQDA)
  • 9. 9 7 Typical Difficulty Patterns 1. Current business takes priority and there is no time for DX. (Business operations division and DX promotion division) 2. Return on investment cannot be explained. (Business operations division and DX promotion division) 3. The business operations division is not aware of the intentions of top management and the DX promotion division. (Executives, DX promotion division, and business operations division) 4. Data scientists do not know what is going on in business operations. (DX-related technology division and business operations division) 5. Customers do not want to give their data to IT vendors. (IT vendor and business operations division) 6. The business operations division is satisfied with the current process. (DX promotion division and business operations division) 7. Unclear purpose of AI implementation triggered by the AI boom. (IT vendor and business operations division)
  • 10. 10 7 Typical Difficulty Patterns Executives DX Promotion Div. Operation Managers Operation Staffs Consultants IT Venders Company ① ② ④ ⑥ ③ ⑤⑦
  • 11. 11 Difficulty Pattern 1 Business operations div. ⇔ DX promotion div. Current business takes priority and there is no time for DX in business operations division. “If you’re an IT engineer, you’re probably aware of AI. However, I have the impression that the section of the information system division I belong to has its hands full with the work, rather than thinking about how to utilize AI. They have an awareness of AI, but the word AI is almost never mentioned in their work routine.” (Interviewee F)
  • 12. 12 Difficulty Pattern 3 Executives+DX promotion div.⇔ Business operations div. The business operations division is not aware of the intentions of top management and the DX promotion division. “Although the DX is being envisioned by the top management and the DX promoters, it is not being communicated well to the business operations division. Also, there is an atmosphere that says why don’t we just introduce it anyway?” (Interviewee A)
  • 13. 13 Factorization Difficulty Pattern Difficulty Pattern Difficulty Pattern Difficulty Pattern Difficulty Pattern Difficulty Pattern Difficulty Pattern There is a complex interplay of these difficulty types. It is necessary to break them down into their more fundamental elements in order to solve them. Fundamental Elements
  • 14. 14 Impeding Factors in Stakeholder Collaborations •Group1: Knowledge Gap –(1) information gap (explicit knowledge) –(2) experience gap (tacit knowledge) •Group2: Profit-loss Gap –(3) incompatible evaluation criteria –(4) conflict of interest •Group3: Perception Gap –(5) perception of the future –(6) lack of mutual trust
  • 15. 15 Knowledge Gap Impediments Example Information Gap (Explicit Knowledge) The business operations division is not aware of the latest AI technology held by the DX promotion division. Experience Gap (Tacit Knowledge) DX promotion division and IT vendors try to promote DX with idealism without knowing the actual business operation.
  • 16. 16 Profit-loss Gap Impediments Example Incompatible Evaluation Criteria The DX promotion division wants to promote DX, but the front line prioritizes the steady execution of the current work. Conflict of Interest IT vendors want all of customers’ data, but customers do not want to provide their know-how to IT vendors.
  • 17. 17 Perception Gap Impediments Example Perception Gap of the Future The executives thinks that there is no future if DX is not promoted, but the front line thinks that the current extension is sufficient. Lack of Mutual Trust Members may wonder if DX is really going to work, but they can go along with it if they trust a leader in the DX project.
  • 18. 18 Information Gap (Explicit Knowledge) Experience Gap (Tacit Knowledge) Perception of the Future Incompatible Evaluation Criteria Conflict of Interest Lack of Mutual Trust 1. Current business takes priority and there is no time for DX. 2. Return on investment cannot be explained. 3. The business operation division is not aware of the intentions of top management and the DX promotion division. 4. Data scientists don't know what's going on in business operations. 5. Customers don't want to give their data to IT vendors. 6. The business operation division is satisfied with the current process. 7. Unclear purpose of AI implementation triggered by the AI boom. Impeding Factors Difficulty Patterns Impeding Factors and Difficulty Patterns
  • 19. 19 Discussion: How to Remove Impediments (1) Information (Explicit Knowledge) Gap It is unrealistic for people in the business operations division to learn the latest AI. The poor absorptive capacity is one of the causes of this gap. To bridge it, it is necessary to translate the information appropriately. (2) Experience (Tacit Knowledge) Gap The experience knowledge has information stickiness. Close interaction and mutual empathy can bridge this gap. Personnel exchange is effective (veterans of the business operations division move to the DX promotion division). Business ethnography may also be an effective method.
  • 20. 20 Discussion: How to Remove Impediments (3) Incompatible Evaluation Criteria If an organization’s existing evaluation criteria are not compatible with DX promotion. The evaluation criteria need to be changed. (4) Conflict of Interest An appropriate contract can make the promotion of DX beneficial for both parties. A guideline authorized by the government about a contract about data and AI model is helpful.
  • 21. 21 Discussion: How to Remove Impediments (5) Perception Gap of the Future It is critically important to develop and share a digital vision. Digital leadership is required for its steady implementation. Roadmapping is an effective dialog tool for filling recognition gaps among the stakeholders. (6) Lack of Mutual Trust Mutual trust is formed on past achievements and relationships. It is also important to implement “NEMAWASHI (informal negotiation)” to gain trust of stakeholders.
  • 22. 22 Difficulty Pattern Difficulty Pattern Difficulty Pattern Difficulty Pattern Difficulty Pattern Difficulty Pattern Difficulty Pattern Information Gap (Explicit Knowledge) Experience Gap (Tacit Knowledge) Perception of the Future Incompatible Evaluation Criteria Conflict of Interest Lack of Mutual Trust Superficial Difficulty Patterns of Stakeholder Collaboration Essential Impeding Factors Measures and tools to remove impediments Information Translation Business Ethnography Discussion: How to Remove Impediments Evaluation Criteria Government Guideline Road- mapping NEMAWASHI
  • 23. 23 Conclusion Contribution Although many previous studies have discussed the superficial factors directly explaining the success or failure of DX, this paper is unique in giving a new perspective on six essential impeding factors to stakeholder collaboration. Factorization is useful for problem solving. limitation There were only six interviewees in Japanese large companies. In the future, we will increase the number of interviews and expand the target companies (small and medium-sized enterprises, companies in Europe, the U.S. and Asia).
  • 24. 24 Thank you for your attention.