The Role of Early Adopters in the Diffusion of New Products: Differences between Platform and Nonplatform Innovations

This paper takes a contingency view to investigate how the role of early adopters (EAs) in the diffusion process changes between platform and nonplatform innovations, what launch decisions firms take to leverage the role of EAs, and how these decisions change between platform and nonplatform innovations. Relying on an exploratory multiple case study of eight industrial product innovations launched in Italy in the 2000s, the paper suggests that the EAs of these innovations play two distinct roles in the diffusion process. The first role, called dissemination, sees EAs triggering and bolstering the propagation of information regarding their opinion about the value for money, properties, advantages, and disadvantages of the new product after they have bought and applied it in their operations. The second role, labeled imitation, consists of EAs inadvertently communicating to later buyers the fact that they have bought the new product, which propels imitative behavior and thus subsequent adoption. A key finding of the paper, which supports a contingency view of innovation diffusion, is that the dissemination role played by EAs has an impact on the adoption of platform innovations, whereas the imitation one is the mechanism through which EAs stimulate subsequent adoption in the case of nonplatform new products. Furthermore, the paper's results point to a constructive view of the process of launching an innovation, whereby firms target at launch different segments of EAs, whose identity is shaped depending on the platform versus nonplatform nature of the innovation and thus on the role they are expected to play in the diffusion process. Concerning managerial implications, this study provides a first tentative understanding of the launch decisions that product and marketing managers may use to target the most appropriate segments of EAs, to leverage their roles and ultimately to favor diffusion. As regards platform innovations, targeting decisions should be driven by the goal to improve the chances that EAs will be willing to disseminate their experience and opinion regarding the new product. As regards instead nonplatform innovations, firms should target EAs whose specific characteristics increase the likelihood of an imitative reaction by later buyers that fear to suffer a competitive disadvantage if they do not conform to EAs' behavior.     

Investigating the Influence of Technology Inflows on Technology Outflows in Open Innovation Processes: A Longitudinal Analysis

The open innovation (OI) paradigm emphasizes the importance of integrating inbound and outbound flows of technology to increase a firm's innovation performance. While the synergies between technology inflows and outflows have been discussed in conceptual OI articles, the majority of empirical studies have typically focused on either the inward or the outward dimension of OI. According to recent reviews of OI literature, there is a need for further research that takes an integrated perspective on this topic and studies the combination of the inbound and outbound dimensions of OI. This paper follows these calls by focusing on technology licensing as the main contractual form for OI, and by investigating the relationship between technology in‐licensing and out‐licensing activities at the firm level of analysis. In particular, this paper argues that technology in‐licensing positively influences the volume of technology out‐licensing through two mechanisms. The first—resource‐based—occurs because in‐licensing investments expand and enrich the firm's technology base, thus increasing its value and, as a result, creating more opportunities for out‐licensing. The second—capabilities‐based—occurs because, due to commonalities between technology in‐licensing and out‐licensing in terms of performed tasks and required skills, repeated execution of in‐licensing transactions contributes to the development of higher out‐licensing capabilities and, as a result, increase out‐licensing volume. These arguments are tested using a panel dataset of 837 Spanish manufacturing firms over the period 1998–2007. Consistent with the predictions, the empirical analysis shows that higher investments in in‐licensing and more extensive in‐licensing experience lead to superior volumes of technology out‐licensing. These results contribute to research on OI and licensing, by empirically showing the existence of positive interactions between technology inflows and outflows and of synergies in the development of absorptive and desorptive capacities.