Survey Data on Smart Open Innovation Adoption Among Manufacturing SMEs in Singapore

A mixed-methods study from 2026 by Sanmugam Annamalah explores factors influencing Smart Open Innovation adoption. It uses survey data collected directly from Singaporean manufacturing SMEs producing technology-based products. The research employs a positivist paradigm and statistical methods to analyze relationships between variables like digital readiness and sustainability orientation.

Use Cases

• Modeling the drivers of smart open innovation adoption based on digital transformation readiness.
• Analyzing the relationship between sustainability orientation and innovation outcomes in SMEs.
• Studying the impact of supply chain collaboration on technology adoption in manufacturing.
• Assessing the role of workforce skill enhancement in fostering innovation among SMEs.
• Evaluating how adaptability to regulatory changes influences innovation strategies.

Strengths

• Dataset employs a mixed-methods design combining quantitative and qualitative approaches.
• Data was collected directly from SMEs as the primary source, likely ensuring relevance.
• The study is underpinned by a structured framework to evaluate SME performance.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic bias inherent to its focus on Singapore.

Provenance

Source

figshare

Collection Method

Survey data collected directly from SMEs, employing a mixed-methods design.

Freshness

Last updated 2026-05-25 07:32:08; freshness should be verified.

Geography

Singapore