TY - JOUR
T1 - Mission statements in universities
T2 - Readability and performance
AU - Cortés, Julián D.
AU - Rivera, Liliana
AU - Carbonelld, Katerina Bohle
N1 - Publisher Copyright:
© 2021 The Author(s)
PY - 2022/5/1
Y1 - 2022/5/1
N2 - The mission statement(s) (MS) is one of the most-used tools for planning and management. Universities worldwide have implemented MS in their knowledge planning and management processes since the 1980s. Research studies have extensively explored the content and readability of MS and its effect on performance in firms, but their effect on public or nonprofit institutions such as universities has not been scrutinized with the same intensity. This study used Gunning's Fog Index score to determine the readability of a sample of worldwide universities’ MS and two rankings, i.e., Quacquarelli Symonds World University Ranking and SCImago Institutions Rankings, to determine their effect on performance. No significant readability differences were identified in regions, size, focus, research type, age band, or status. Logistic regression (cumulative link model) results showed that variables, such as universities’ age, focus, and size, have more-significant explanatory power on performance than MS readability.
AB - The mission statement(s) (MS) is one of the most-used tools for planning and management. Universities worldwide have implemented MS in their knowledge planning and management processes since the 1980s. Research studies have extensively explored the content and readability of MS and its effect on performance in firms, but their effect on public or nonprofit institutions such as universities has not been scrutinized with the same intensity. This study used Gunning's Fog Index score to determine the readability of a sample of worldwide universities’ MS and two rankings, i.e., Quacquarelli Symonds World University Ranking and SCImago Institutions Rankings, to determine their effect on performance. No significant readability differences were identified in regions, size, focus, research type, age band, or status. Logistic regression (cumulative link model) results showed that variables, such as universities’ age, focus, and size, have more-significant explanatory power on performance than MS readability.
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U2 - 10.1016/j.iedeen.2021.100183
DO - 10.1016/j.iedeen.2021.100183
M3 - Research Article
AN - SCOPUS:85122351060
SN - 2444-8834
VL - 28
JO - European Research on Management and Business Economics
JF - European Research on Management and Business Economics
IS - 2
M1 - 100183
ER -