Managing online creativity for improving innovation performance

Abstract

Purpose -Building on the socio-cultural theory and the climate literature, the purpose of this paper is to examine: how to effectively manage computer-mediated platforms to improve innovation performance, and which types of computer-mediated platforms firms should be more involved with. Design/methodology/approach -The multivariate mediated regression method and relative effect analysis were employed to test the model. Findings -Analyses reveal that online creative climate mediates the effects of the perceived innovation policy on both novelty and meaningfulness of creative behaviors. In addition, online creative climate is positively related to both radical and incremental innovation performance. Further, the relative performance results of the four types of computer-mediated platforms are found to be unequal. Practical implications -The results suggest to managers that establishing creative climates in computermediated platforms is a promising approach to improve firms' innovation performance. The results further indicate that managers should acknowledge the advantages and limitations of each type of computer-mediated platform in order to increase innovation performance. Otherwise, firms may misallocate resources and investment efforts in computer-mediated platforms. Originality/value -By categorizing computer-mediated platforms into four types, this study provides the first synthesis of personal interactions that occur in computer-mediated environments. This study presents the first empirical assessment of how creative climate can be used as a facilitator for improving innovation performance and which type of computer-mediated platforms is more appropriate for radical or incremental innovations.

Does effectuation make innovative digital multi-sided platform startups? An investigation of entrepreneurial behavior in platform-based open innovation

“…In the other research, radical and incremental innovation performance are shown to be affected by the online creative atmosphere as well as crowd engagement. Novelty behavior and interaction between firms lead to radical innovation, whereas meaningful behavior and interaction between consumers lead to incremental innovation (Tien and Cheng, 2017). Therefore, these circumstances are formulated into hypothesis 4 as follow:…”

Users' subsequent innovation after organizational adoption: evidence from an online game user innovation community

“…Although they do not directly engage in the innovation process, they need to evaluate user-generated innovations and adopt valuable ones to commercialize (Nambisan and Nambisan, 2008). Besides, firms deploy multiple support strategies and establish creative climates to promote user innovation (Tien and Cheng, 2017). For example, many firms provide users with innovation toolkits to support their innovation activities (Von Hippel and Katz, 2002).…”

Where does knowledge-sharing motivation come from? The case of third-party developer in mobile platforms

“…When developers perceive the platform’s open policies, the developers are encouraged to show beneficial behaviors for platforms. For example, Tien and Cheng (2017) show that as developers perceive platforms’ policies for stimulating innovations, platforms can build creative climates among users. Likewise, perceived open policies might contribute to establish favorable climates to knowledge sharing among developers.…”