This study provides a systematic overview of innovation research strands revolving around
AI. By adopting a Systematic Quantitative Literature Review (SQLR) approach, we retrieved …

Purpose Industry 4.0 defines the application of digital technologies on business
infrastructure and processes. With the increasing need to take into account the social and …

Purpose Digitalization accelerates the need of tourism and hospitality ecosystems to reframe
business models in line with a data-driven orientation that can foster value creation and …

Purpose Innovation goes beyond creation, concentrating on enhancement, which is
essential for advancement. Since 1998, the European Journal of Innovation Management …

Purpose The purpose of this paper is to understand the main drivers of change in the
relational approaches adopted in business-to-business (B2B) companies as an effect of the …

Purpose The purpose is to apply the co-workership approach to contribute guidelines for
manufacturing managers to exploit the potential of digital technologies through a human …

In contemporary interconnected world, the availability of large amount of data across
organizations' activities, operations, strategies and decision-making redefines dramatically …

Purpose This research delves into the realm of Business Model Innovation (BMI), integrating
it with the human-centric, sustainable, and resilient principles of Industry 5.0, proposing a …

Background: The role of a data-driven culture in improving organizational performance is
widely recognized, but its conceptual definition lacks uniformity, leading to the existence of …

Purpose This paper aims to propose an interpretive framework to understand how machine
learning (ML) affects the way companies interact with their ecosystem and how the …