Sharing agreements and quality attributes in data manufacturing [Abstract]

Purpose: Contemporary advancements in technology coupled with the “Big Data” evolution of the last decade provides access to data resources in an unprecedented way, as well as opportunities to innovate through the use of data generated, collected and transformed to actionable knowledge (Delen and Demirkan, 2013). The Knowledge Economy and more specifically the proliferation of data (George et al., 2014) has altered also the way firms compete and work for value creation, and has reshaped the manufacturing landscape toward value co-creation among firms (Lusch and Vargo, 2006). New data-intensive ways of creating value are introduced and require additionally to analytical tools and techniques, sense making skills (Weick, 1995) as the main challenge of organizations for data-based decision-making (Lycett, 2013). Literature reviews about the manufacturing context reveal that the data evolution has influenced radically also the production and service industries (Mishra et al., 2016; Wamba et al., 2015; Wang et al., 2016). The last decade there is a hype of service industries around data (for storing, analyzing, processing etc.), where data are shared as well