The use of social media for innovation requires firms to manage rapid information transfers,
big data, and multiway communication. Yet managers lack clear insights on the way social …

Advances in large language model (LLM) technology enable chatbots to generate and
analyze content for our work. Generative chatbots do this work by 'predicting'responses …

The purpose of this research aims to empirically examine the impact of information and
communication technology (ICT) adoption on absorptive capacity (ACAP) and open …

This study investigates the relationship between Absorptive Capacity (AC) and Knowledge
Appropriation (KA), two significant domains in technology transfer, knowledge management …

Across many fields of social science, machine learning (ML) algorithms are rapidly
advancing research as tools to support traditional hypothesis testing research (eg, through …

Innovation and entrepreneurship lie at the heart of the modern economy. Yet, while scholars
have long examined the economic drivers of innovation and entrepreneurship, less is known …

Hype is a collective vision and promise of a possible future, around which attention,
excitement, and expectations increase over time. Within nascent markets, hype can thus …

Open Innovation (OI) is an increasingly popular approach that companies adopt to remain
competitive. However, the challenges and complexities entailed by the OI should not be …

The paradox of openness describes the fundamental tension between knowledge sharing
and knowledge protection in open innovation. While sharing is vital for value creation …

This study explores how creativity and open innovation practices (inbound and outbound)
influence product innovation and innovative performance in small and medium-sized …