Short answer
Adopt a planning methodology that maps current digital maturity against market lifecycle stages to define a clear, actionable roadmap for digital transformation.
- Field
- Commercial Production
- Source
- SHS Web of Conferences (2021)
- Method
- Conceptual Framework Development
- Evidence
- Moderate effect
Industrial enterprises can effectively plan their digital transformation by integrating market lifecycle stages with maturity models across various business aspects. This commercial production research insight is drawn from a 2021 study published in SHS Web of Conferences. Using Conceptual framework development, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Adopt a planning methodology that maps current digital maturity against market lifecycle stages to define a clear, actionable roadmap for digital transformation.
A Dynamic Model for Planning Digital Transformation in Industrial Enterprises
Industrial enterprises can effectively plan their digital transformation by integrating market lifecycle stages with maturity models across various business aspects.
SHS Web of Conferences · 2021
Key Findings
- 01Existing digital transformation models are often better suited for diagnostics than for planning future states.
- 02Classifying transformation based on market lifecycle stages (monopoly, oligopoly, competition, monopsony) provides a more practical approach.
- 03Integrating market lifecycle stages with maturity models allows for a structured algorithm to plan desired digital transformation states.
Application
Design takeaway
Adopt a planning methodology that maps current digital maturity against market lifecycle stages to define a clear, actionable roadmap for digital transformation.
How to apply
When initiating a digital transformation project, first analyze the competitive landscape and market position, then assess current digital maturity levels across critical areas, and finally, use this combined understanding to define the target 'to-be' state and the steps to get there.
Project actions
- 01When defining your design problem, consider the market context of the product or service you are designing for.
- 02Use maturity models as a tool to assess the current state of a system or process, and then plan for its future development.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Provides a structured approach to digital transformation planning.
- +Integrates market context with internal maturity assessments.
Limitations
The proposed model is conceptual; real-world implementation might face challenges due to data availability, organizational resistance, or specific industry nuances.
Reliability & validity
The validity of the model relies on the established frameworks of market lifecycle analysis and maturity models. Reliability would depend on consistent application of these frameworks.
Think critically
How might the proposed market lifecycle classification be adapted or challenged by rapidly evolving digital markets and platform economies?
Design Principles
"Contextualize digital transformation planning within market dynamics and assess maturity across key business functions."
Understanding the current and desired states of digital maturity, contextualized by market dynamics, allows for more strategic and actionable transformation roadmaps. This approach moves beyond simple diagnostics to provide a framework for planning and implementation.
What This Means for Your Design
Think about how your company's market (are you the only one, one of a few, or one of many selling to customers?) affects how you should plan to become more digital, and use checklists (maturity models) to see how ready you are in different areas.
How to use in your project
- 1.Reference the paper when discussing the strategic context or planning phase of a digital transformation design project.
- 2.Use the concept of market lifecycle stages to justify the specific digital solutions proposed.
Add to My Project
Quick Cite
Paragraph starter
The strategic planning for digital transformation in industrial settings can be significantly enhanced by integrating an understanding of market lifecycle stages with comprehensive maturity assessments. This research proposes a 'Digital Dynamic Model of Corporate Strategy Changes' that leverages market dynamics (monopoly, oligopoly, competition, monopsony) to inform a planning algorithm. This algorithm utilizes various maturity models (e.g., for industry, strategy, product, process, data) to define a clear 'to-be' state, moving beyond mere diagnostics to actionable planning for desired digital business models.
Source
SHS Web of Conferences
Management of digital transformation of industrial enterprises based on maturity models
journal · 2021
View sourceQuestions About This Research
- What does the research say about a dynamic model for planning digital transformation in industrial enterprises?
- Adopt a planning methodology that maps current digital maturity against market lifecycle stages to define a clear, actionable roadmap for digital transformation. Evidence: SHS Web of Conferences (2021).
- Why does "A Dynamic Model for Planning Digital Transformation in Industrial Enterprises" matter for design?
- Understanding the current and desired states of digital maturity, contextualized by market dynamics, allows for more strategic and actionable transformation roadmaps. This approach moves beyond simple diagnostics to provide a framework for planning and implementation.
- How can designers apply this research?
- Adopt a planning methodology that maps current digital maturity against market lifecycle stages to define a clear, actionable roadmap for digital transformation.
- What were the main findings?
- Existing digital transformation models are often better suited for diagnostics than for planning future states.. Classifying transformation based on market lifecycle stages (monopoly, oligopoly, competition, monopsony) provides a more practical approach.. Integrating market lifecycle stages with maturity models allows for a structured algorithm to plan desired digital transformation states.
- What research method was used?
- Conceptual Framework Development.
- How strong is the evidence?
- Evidence strength is rated Moderate effect, based on a 2021 journal from SHS Web of Conferences.
- What should I do differently in my next project?
- When initiating a digital transformation project, first analyze the competitive landscape and market position, then assess current digital maturity levels across critical areas, and finally, use this combined understanding to define the target 'to-be' state and the steps to get there.
- What are the limitations?
- The practical application and validation of the proposed 'Dynamics' model across diverse industrial sectors require further empirical study.