Short answer

Prioritize and measure new product development success as a strategic indicator for advancing big data capabilities.

Field
Innovation & Design
Source
Journal of Business and Economic Studies (2023)
Method
Quantitative survey research
Evidence
Moderate effect

A firm's success in new product development can be a significant driver for the strategic development and implementation of big data capabilities. This innovation & design research insight is drawn from a 2023 study published in Journal of Business and Economic Studies. Using Quantitative survey research, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Prioritize and measure new product development success as a strategic indicator for advancing big data capabilities.

Study
Innovation & DesignRecentModerate effect

New Product Development Fuels Big Data Strategy Evolution

A firm's success in new product development can be a significant driver for the strategic development and implementation of big data capabilities.

Journal of Business and Economic Studies · 2023

01

Key Findings

  • 01New product development performance positively impacts the development of big data capability.
  • 02Supply chain capabilities can enhance the development of big data capabilities.
02

Application

Design takeaway

Prioritize and measure new product development success as a strategic indicator for advancing big data capabilities.

How to apply

When evaluating a company's readiness for big data initiatives, assess its recent performance and strategic focus on new product development.

Project actions

  • 01Consider how your design project's success metrics could indirectly influence or be influenced by data strategy.
  • 02Explore how the process of developing a new product might generate or require data that could inform future strategies.
03

Method & Evidence

AimDoes new product development performance influence the development of big data strategy and capability within firms?
MethodQuantitative survey research
ProcedureA research model was constructed based on theoretical frameworks, positing new product development as a motivator for big data capability. Survey data was collected from firms and analyzed to test the hypothesized relationships.
ContextBusiness and economic studies, focusing on firm-level strategy and capabilities.

Variables

IVNew product development performance
DVBig data capability and strategy development
CVSupply chain capabilities
04

Strengths & Limitations

Strengths

  • +Addresses a gap in understanding the drivers of big data capability development.
  • +Integrates multiple theoretical perspectives.

Limitations

Self-reported data can be biased, and the study doesn't detail the specific types of new product development or big data capabilities examined.

Reliability & validity

The study's reliance on survey data may affect its external validity, and further research could explore objective performance metrics.

Think critically

To what extent is the causality truly from NPD performance to big data capability, or could it be that firms with strong existing data capabilities are better at NPD?

05

Design Principles

"Innovation performance in product development can serve as a leading indicator and driver for the strategic adoption of advanced data capabilities."

Understanding this relationship allows organizations to strategically invest in innovation processes that not only yield new products but also build the foundational data infrastructure needed for future competitive advantage. It highlights how product-centric innovation can indirectly foster data-centric strategic development.

06

What This Means for Your Design

If a company is good at making new products, it's also more likely to get good at using big data for its strategies.

How to use in your project

  • 1.Reference this study when discussing how the success of your design project can contribute to broader organizational capabilities, such as data strategy.
07

Add to My Project

08

Quick Cite

Paragraph starter

The research by Lin, Kunnathur, and Forrest (2023) suggests that a firm's success in new product development can act as a catalyst for developing its big data capabilities and strategy. This implies that the performance and outcomes of design projects focused on innovation can have a direct impact on an organization's ability to leverage data for strategic advantage.

09

Source

Journal of Business and Economic Studies

Innovation Performance Fosters Strategy Development: Evidenced in the Case of New Product Development and Big Data Capability

journal · 2023

View source

Questions About This Research

What does the research say about new product development fuels big data strategy evolution?
Prioritize and measure new product development success as a strategic indicator for advancing big data capabilities. Evidence: Journal of Business and Economic Studies (2023).
Why does "New Product Development Fuels Big Data Strategy Evolution" matter for design?
Understanding this relationship allows organizations to strategically invest in innovation processes that not only yield new products but also build the foundational data infrastructure needed for future competitive advantage. It highlights how product-centric innovation can indirectly foster data-centric strategic development.
How can designers apply this research?
Prioritize and measure new product development success as a strategic indicator for advancing big data capabilities.
What were the main findings?
New product development performance positively impacts the development of big data capability.. Supply chain capabilities can enhance the development of big data capabilities.
What research method was used?
Quantitative survey research.
How strong is the evidence?
Evidence strength is rated Moderate effect, based on a 2023 journal from Journal of Business and Economic Studies.
What should I do differently in my next project?
When evaluating a company's readiness for big data initiatives, assess its recent performance and strategic focus on new product development.
What are the limitations?
The study relies on self-reported survey data, and the specific mechanisms through which supply chain capabilities enhance big data capabilities require further exploration.