“…MA studies typically encounter several challenges from inception to completion that need to be handled, which assume considerable importance given the scope and diversity in the application of MA methods in IS. Several studies within the IS discipline have highlighted various aspects of metaanalysis methods and offered additional guidance (e.g., Chau 1999;King and He 2005;Sharma et al 2009;Hwang and Schmidt 2011;Hess et al 2014;Larsen and Bong 2016;Kepes and Thomas 2018;Wu et al 2018) in addition to the general guidelines for MA found in prior literature (e.g., Glass et al 1981;Hunter and Schmidt 1990). Assuming the rationale for MA has been established based on opportunities or gaps in prior literature, challenges span various aspects such as the overall research approach taken for MA, the type of statistic employed for MA, the research model, and the research methods, including locating primary studies, coding the necessary statistics from studies, identifying the appropriate MA models, and analyzing the data gathered from studies.…”