Open AccessMaking Graphic Management Models Smarter
Author(s) -
Harald Bergsteiner,
Gayle C. Avery
Publication year - 2011
Publication title -
the international business and economic research journal/the international business and economics research journal
Language(s) - English
Resource type - Journals
eISSN - 2157-9393
pISSN - 1535-0754
DOI - 10.19030/iber.v2i12.3868
Subject(s) - computer science , accountability , point (geometry) , data science , management science , human–computer interaction , engineering , political science , geometry , mathematics , law
In management, graphic models are an undervalued and poorly used form of theory-building and communication that should be treated with the same rigor that is commonly demanded of text. Graphic models are highly effective for depicting and explaining organizational complexity when designed appropriately. Using two mutual influence models in accountability as an example, we point out common flaws in modelling, and suggest guidelines on how to make graphic models smarter.