Full citation

Randhawa, K., et al. (2016). "A Bibliometric Review of Open Innovation: Setting a Research Agenda." Journal of Product Innovation Management 33(6): 750-772.              

Research notes:  Cites  Perkman, Markus & Walsh, Kathryn. (2007). University-Industry relationships and open innovation: Towards a research agenda. International Journal of Management Reviews, 9(4), 259-280.

Format: Peer-reviewed journal article

Type: Non-experimental study

Experience level of reader: Fundamental

Annotation: Open innovation research aligns into three main areas: firm-centric aspects, management of networks, and roles of users and communities. The paper’s methodology is combining two methods of citation analysis and text mining to identify over-saturated and under-used theories as applied to open innovation. Current literature reviews lack articles from marketing and engineering journals. Researchers fail to find and apply theories outside their fields. Gaps in research on OI could be filled by seeking more diverse perspectives from users, networks, and communities as well as utilizing user input.

Setting(s) to which the reported activities/findings are relevant: Small Business, Large business, University, Community.

Knowledge user(s) to whom the piece of literature may be relevant: Brokers, Manufacturers, Policy makers, Researchers.

Knowledge user level addressed by the literature: Fundamental

This article uses the Commercial Devices and Services version of the NtK Model

Primary findings


Research agendas about open innovation often stay within OI and fail to leverage knowledge in other disciplines like marketing or engineering.
Literature review findings
Occurrences within the model: NtK Step 1.1, 1.4, 2.2, 3.1, 3.2, 3.7, 3.8


  • Bibliometric searches conducted with software which identifies related ideas within the text and groups them into themes are on par with subject headings assigned by human readers.
    Literature review findings
    Occurrences within the model: NtK Steps 3.3, 3.8
  • Studying user identities and individual motivations is a useful application of researching open innovation.
    Literature review findings
    Occurrences within the model: NtK Steps 3.8, 6.1 KTA 3.B