The 2017 Owler National Likeability Study results are based on a proprietary favorability algorithm developed by Owler to determine how well liked CEOs are — relative to their peers and across a broader superset of CEOs included in the study.
With over 1 million active users, Owler is the world’s largest community-based business insights platform — with a global company database spanning 15 million entities and a CEO database that includes over 167,000 executives around the world. The favorability algorithm evaluates the weighting of a CEO’s review based on the specifics of the person who rated the CEO. Inputs from employees, followers, competitors and other stakeholders are weighted differently in the model, and the algorithm ensures that multiple inputs cannot be submitted by the same individual.
To ensure the integrity of Owler’s statistical model, the 2017 Owler National Likeability Study focuses exclusively on CEOs leading notable companies located in cities with over 5,000 companies, regardless of size, and the sample set has been further reduced to include only companies that are actively updated and followed by the Owler Community.
The resulting dataset is then partitioned for specific areas of focus for the study, such as looking at public company CEO favorability versus private company favorability. For industries and cities highlighted in the research, additional filters are used to provide a representative sampling of notable companies. Many organizations, including many small privately held companies, that do not meet criteria for the 2017 Owler National Likeability Study’s criteria may still be eligible for an Owler Top-Rated CEO Award, which assesses CEO likeability on a larger, unfiltered company dataset. Additional information on the 2017 Owler National Likeability Study with respect to specific industries and cities is available on request.