The promise of crowdsourcing innovation is that many more actors, out- side of the focal organization with an innovation challenge, can partici- pate in the innovation process as opposed to the traditional process of internal hiring and effort exertion. Communities and contests offer two types of institutions to achieve these objectives. In practice, most economic organizations will utilize some sort of hybrid structure that will involve both open crowd-based and traditional organizations (Lakhani and Panetta 2007).
In the realm of communities, Apple presents an interesting model (Lakhani et al. 2013b). Contrary to press accounts about Apple being a closed innovation firm, the firm’s embrace of democratized innovation through open source communities is grounded in economic logic. In the 1990s the firm had significant technical failure with a range of attempts to develop new operating systems. When Steve Jobs returned to Apple, the firm realized that its prowess and advantage laid in industrial design and software interface and not necessarily the inner core working of the operating system. Hence OS X (and now also iOS), the flagship operating systems, were developed through tight integration with open source communities. Apple, unlike Microsoft, made its revenues through hardware sales and not operating system software, and thus the linkage with collaborative communities made logical sense as Apple made its profits from complementary assets related to hardware and services. Today Apple participates in over 200 open source communities, and the firm has found that effective interaction with communities requires the presence of complementary assets that can be combined with the contributions from free and open communities. Apple’s participation is not just about using the output of these communities. Rather, Apple contributes code back to these communities and also utilizes the collective output.
On the other end of the spectrum of the software industry, SAP, the global enterprise resource-planning giant, discovered that its customers wanted to collaborate and interact with each other, and the firm saw significant advantage in hosting those interactions through specialized online platforms. Once enabled, SAP executives noted that its community network was addressing a range of issues, including customer support, new product development, and business process extensions. In 2012 the SAP community network stood at over 2.5 million members. On a monthly basis the com- munity receives 1.2 million visitors and more than 3,000 discussion posts per day are made on the community site. Technical support questions get answered in less than 20 minutes from other community members with more than 85 percent of them deemed “answered” by the poster. Not only does this technical support function of the community lower SAP’s costs, it also tends to be much higher quality as users in the field that have encountered the same problem before can provide direct expert advice on a resolution in place of a specialist backroom operator. SAP also uses the community to develop feature requirements for new product releases with more than 40 percent of new features being developed jointly by community members in various industrial and functional verticals. The community also engages in a range of continuing education related to technologies and products in the SAP portfolio. The social give and take of the community builds strong affiliation with both SAP and other community members; many report that they use their community activity to enhance their own learning and find new job prospects within the SAP ecosystem. In this case the SAP software becomes the core complementary asset that the firm can exploit while continuing to invest in its communities.
Innovation contest platforms are another example of hybrid organizations that have emerged to manage crowds (covering areas as diverse as data science, graphic design, advertisement, software development, and scientific problem solving). These platforms seek to aggregate both demand and supply for contests and contestants (ranging in size from tens of thousands to hundreds of thousands of members). Most organizations may not be able to sustain a large set of external problem solvers to work on their challenges. There may simply not be enough volume of problems to sustain a “custom crowd” for each organization. Hence platforms pro- vide an aggregation and matching mechanism between organizations seeking solutions through contests and participants looking for problems to solve via contests. Interestingly, after a contest is finished, the platforms also invest in significant social activities to provide their solvers with a sense of identity and a means to learn and share knowledge about potential problem-solving approaches. Thus these platforms integrate both a contest and community function within their operations.
Contests and communities represent viable means of managing crowd- based innovation. While there are many instances when these institutions serve as substitutes to internal innovation, the current trend is toward complementary usage alongside with internal efforts. The academic and managerial challenge ahead is to layout the frameworks that enable both traditional and crowd-based institutions for innovation to be utilized in a way that maximizes problem-solving effectiveness for organizations and individuals seeking innovative outcomes.