Short answer

When designing or redesigning supply chain processes, prioritize the integration of new digital capabilities (Industry 4.0) with established lean methodologies to achieve optimal operational outcomes.

Field
Commercial Production
Source
Supply Chain Management An International Journal (2023)
Method
Quantitative empirical analysis using structural equation modelling.
Sample
209 participants
Evidence
Strong effect

Firms that effectively balance exploration of new Industry 4.0 technologies with exploitation of existing lean processes achieve superior operational performance. This commercial production research insight is drawn from a 2023 study published in Supply Chain Management An International Journal. Using Quantitative empirical analysis using structural equation modelling. with 209 participants, researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing or redesigning supply chain processes, prioritize the integration of new digital capabilities (Industry 4.0) with established lean methodologies to achieve optimal operational outcomes.

Study
Commercial ProductionRecentStrong effect

Supply Chain 4.0 Ambidexterity Drives Operational Performance via Lean Management

Firms that effectively balance exploration of new Industry 4.0 technologies with exploitation of existing lean processes achieve superior operational performance.

Supply Chain Management An International Journal · 2023

01

Key Findings

  • 01Supply Chain 4.0 ambidexterity has a positive effect on operational performance.
  • 02Lean supply chain management fully mediates the relationship between Supply Chain 4.0 ambidexterity and operational performance.
  • 03The study developed and validated a measurement instrument for Supply Chain 4.0 ambidexterity.
02

Application

Design takeaway

When designing or redesigning supply chain processes, prioritize the integration of new digital capabilities (Industry 4.0) with established lean methodologies to achieve optimal operational outcomes.

How to apply

Evaluate your current supply chain's ability to both explore new technologies and exploit existing efficiencies. Develop strategies that foster this dual capability, ensuring new implementations complement rather than disrupt lean operations.

Project actions

  • 01When proposing a new design, consider how it integrates with existing production systems.
  • 02Analyze how a new product's manufacturing process can leverage or improve upon lean principles.
03

Method & Evidence

AimHow does Supply Chain 4.0 ambidexterity, mediated by lean supply chain management, impact a firm's operational performance?
MethodQuantitative empirical analysis using structural equation modelling.
ProcedureA survey was administered to 209 Spanish firms in industrial sectors. Data on Supply Chain 4.0 ambidexterity, lean supply chain management, and operational performance were collected and analyzed using structural equation modelling to test hypothesized relationships.
Sample209 participants
ContextIndustrial sectors in Spain, focusing on firms in intermediate supply chain positions.

Variables

IVSupply Chain 4.0 ambidexterity
DVFocal firm's operational performance
CVLean supply chain management (as a mediator)
04

Strengths & Limitations

Strengths

  • +Developed and validated a new measurement instrument for Supply Chain 4.0 ambidexterity.
  • +Empirically tested complex interrelationships using structural equation modelling.

Limitations

The complexity of measuring 'ambidexterity' in a practical design project can be challenging. Focusing on a single aspect of Industry 4.0 or lean might be more feasible.

Reliability & validity

The study used structural equation modelling, a robust statistical technique, to analyze the relationships between variables. The development of a measurement instrument for Supply Chain 4.0 ambidexterity adds to the study's validity. However, the generalizability of findings may be limited by the specific sample context.

Think critically

To what extent can a single design project embody 'ambidexterity' in its development and production phases, and how can this be practically measured?

05

Design Principles

"Ambidextrous supply chain design: Simultaneously pursue innovation and efficiency."

In today's rapidly evolving industrial landscape, companies must navigate the dual demands of adopting cutting-edge technologies (exploration) while optimizing current operations (exploitation). This research highlights that a strategic approach to integrating these seemingly opposing forces within the supply chain is crucial for competitive advantage.

06

What This Means for Your Design

Companies can get better at making things by learning new tech (like robots or AI) and also by being really good at their old, efficient ways of working (like reducing waste). Doing both at the same time, with the efficient ways helping the new tech work better, makes them perform best.

How to use in your project

  • 1.Reference this study when discussing the importance of integrating new technologies with established manufacturing practices in your design project's context.
  • 2.Use the concept of ambidexterity to justify design choices that balance novelty with efficiency.
07

Add to My Project

08

Quick Cite

Paragraph starter

This research highlights the critical role of ambidexterity in supply chain management, demonstrating that firms achieving operational excellence do so by effectively balancing the exploration of new technologies (Supply Chain 4.0) with the exploitation of existing efficient processes (lean supply chain management). The study found that lean practices fully mediate this relationship, suggesting that new technological advancements are most impactful when integrated within a framework of established efficiency principles.

09

Source

Supply Chain Management An International Journal

Supply chain 4.0 ambidexterity and lean supply chain management: interrelationships and effect on the focal firm’s operational performance

journal · 2023

View source

Questions About This Research

What does the research say about supply chain 4.0 ambidexterity drives operational performance via lean management?
When designing or redesigning supply chain processes, prioritize the integration of new digital capabilities (Industry 4.0) with established lean methodologies to achieve optimal operational outcomes. Evidence: Supply Chain Management An International Journal (2023).
Why does "Supply Chain 4.0 Ambidexterity Drives Operational Performance via Lean Management" matter for design?
In today's rapidly evolving industrial landscape, companies must navigate the dual demands of adopting cutting-edge technologies (exploration) while optimizing current operations (exploitation). This research highlights that a strategic approach to integrating these seemingly opposing forces within the supply chain is crucial for competitive advantage.
How can designers apply this research?
When designing or redesigning supply chain processes, prioritize the integration of new digital capabilities (Industry 4.0) with established lean methodologies to achieve optimal operational outcomes.
What were the main findings?
Supply Chain 4.0 ambidexterity has a positive effect on operational performance.. Lean supply chain management fully mediates the relationship between Supply Chain 4.0 ambidexterity and operational performance.. The study developed and validated a measurement instrument for Supply Chain 4.0 ambidexterity.
What research method was used?
Quantitative empirical analysis using structural equation modelling. with 209 participants.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2023 journal from Supply Chain Management An International Journal.
What should I do differently in my next project?
Evaluate your current supply chain's ability to both explore new technologies and exploit existing efficiencies. Develop strategies that foster this dual capability, ensuring new implementations complement rather than disrupt lean operations.
What are the limitations?
The study focused on Spanish firms in industrial sectors, potentially limiting generalizability to other regions or industries. The cross-sectional nature of the data does not allow for causal inferences over time.