“…On the one hand—as exemplified by the Giustiziero et al paper in this issue—the scale‐free nature of digital offerings and the resulting negligible marginal costs (Levinthal & Wu, 2010), combined with the global reach of digital markets (Wormald, Shah, Braguinsky, & Agarwal, 2022) and various types of network effects associated with many digital contexts (Loh & Kretschmer, 2023; Parker & Van Alstyne, 2005; Zhu & Iansiti, 2012), suggests that digitization may create an impetus for hyperscaling, as a small number of firms (or potentially just one firm) come to dominate the market. On the other hand, digitization is also associated with lower costs of experimentation as entry barriers related to fixed costs are lowered (Jin & McElheran, 2017; Waldfogel, 2018), low‐cost experimental techniques become available (Koning, Hasan, & Chatterji, 2022), and conventional knowledge constraints are overcome (Tajedin, Madhok, & Keyhani, 2019), as well as with improved access to detailed real‐time customer data, suggesting the potential for greater learning‐by‐doing (Chen, Wang, Cui, & Li, 2021) and the opportunity for small and start‐up firms to overcome their traditional disadvantages (Wormald, Agarwal, Braguinsky, & Shah, 2021) by targeting valuable niches in the market (Benner & Waldfogel, 2023; Dushnitsky, Piva, & Rossi‐Lamastra, 2022). More work is needed to understand the factors that moderate the balance between these two effects of digitization—the drive to scale and the drive to differentiate (Cennamo & Santalo, 2013; Ellison & Fudenberg, 2003; Panico & Cennamo, 2022)—not only to understand the conditions under which one tendency may dominate the other (Schilling, 2002; Simcoe & Watson, 2019), but also to study the process through which digital markets evolve (Khanagha, Ansari, Paroutis, & Oviedo, 2022) and how this process compares to more traditional evolutionary models (Nelson & Winter, 1982).…”