Communication, Digital Technology, and Organization CTO

Our special issue on text analysis in innovation is now accepting submissions! The submission window is open, and will be for another year until 31 March 2027. Submissions will be processed on a rolling basis.

This Special Issue explores how Natural Language Processing (NLP) and Large Language Models (LLMs) can analyse and generate knowledge across the innovation process. From idea generation to commercialisation, these tools are transforming how organisations discover insights, evaluate ideas, and develop new products. The Special Issue aims to advance both theory and practice in innovation management by examining how textual data can be leveraged as a source of knowledge. We invite contributions that critically examine how NLP and LLMs analyse existing knowledge codified in documents, generate new knowledge, and measure theoretical constructs from text. We welcome empirical, methodological, and conceptual papers that address the implications of NLP and LLMs for innovation processes, theory-building, and management practice across different sectors and contexts.

Special issue editors: Vito Giordano, Filippo Chiarello, Ivan Zupic, Catherine Beaudry, Julian Just, and Wim Vanhaverbeke:

Journal: Technovation

Submissions open: 01 March 2026
Submission deadline: 31 March 2027
Submission process: rolling basis (papers will be handled as they are received)

More information here: https://www.sciencedirect.com/special-issue/327243/text-as-knowledge-for-innovation-management-ensuring-research-relevance-and-rigor-with-nlp-and-llms 

Best regards,

Ivan Zupic

School of Creative Management

Goldsmiths, University of London