How to design Quasi-experiments in organizations? A systematic review of innovation research.

We set out to understand quasi-experimentation, as a research methodology in an organizational context in the field of innovation management. Quasi-experiments have the studies participants nonrandomly assigned to the experimental conditions. This can lead to selection bias and other internal validity problems. Through quasi-experimentation, the researcher can identify the cause of selection bias approach the experiment accordingly. We conduct a systematic review of the experiments published in top 10 journals in the field of innovation management in the decade 2011-2021. Altogether 372 papers were identified through searching for 'experiments' within abstracts, titles and keywords. We did a content review of the papers to identify only 23 experiments, half of which were quasi-experiments and one fourth were natural experiments. Only half of the quasi- and natural experiments concerned selection bias, but they all used at least a single type of experimental design element helpful in dealing with selection bias. [ABSTRACT FROM AUTHOR]