Knowledge & Learning
MRQ contributions emphasize how knowledge flows and learning routines translate into capability development and performance. In industrial ecosystems, social media infrastructures enable information sharing and cluster-level coordination (Guechtouli, 2024), while within family businesses social networks underwrite organizational learning and capability renewal (Purvis & Zhang, 2024). Editorial work underscores the role of emerging technologies as both a trigger and an enabler of learning (Desmarchelier, 2024). Studies also connect continuous-improvement systems to learning outcomes—for example, TQM practices influence customer satisfaction via innovative employee behavior and empowerment (Arhin & Cobblah, 2024). Mapping work on the intellectual structure of AI marketing charts how knowledge domains evolve and interlock (Wei, 2024). Together, these articles surface mechanisms such as communities of practice, codification/personalization, absorptive capacity, and psychological safety, clarifying how organizations build, store, and mobilize knowledge across public and private contexts.


