Size Matters: Toward a Contingency Theory of Diversity Effects on Performance

2019 ◽  
Vol 43 (2) ◽  
pp. 278-303
Author(s):  
Sanghee Park
2009 ◽  
Author(s):  
David J. Stanley ◽  
Natalie J. Allen ◽  
Helen M. Williams ◽  
Sarah J. Ross

2018 ◽  
Vol 2 (2) ◽  
pp. 1-6
Author(s):  
Moon-Kyo SEO ◽  
◽  
Myeong-Cheol CHOI ◽  

1996 ◽  
Vol 42 (2) ◽  
pp. 187-204 ◽  
Author(s):  
Masoud Yasai-Ardekani ◽  
Paul C. Nystrom

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Matthias Suter ◽  
Olivier Huguenin-Elie ◽  
Andreas Lüscher

AbstractAssessing the overall performance of ecosystems requires a quantitative evaluation of multifunctionality. We investigated plant species diversity effects on individual functions and overall multifunctionality in a grassland experiment with sown monocultures and mixtures comprising four key grass and legume species. Nitrogen fertilisation rates were 50, 150, and 450 kg N ha−1 yr−1 (N50, N150, N450). Ten functions were measured representing forage production, N cycling, and forage quality, all being related to either productivity or environmental footprint. Multifunctionality was analysed by a novel approach using the mean log response ratio across functions. Over three experimental years, mixture effects benefited all forage production and N cycling functions, while sustaining high forage quality. Thus, mixture effects did not provoke any trade-off among the analysed functions. High N fertilisation rates generally diminished mixture benefits. Multifunctionality of four-species mixtures was considerably enhanced, and mixture overall performance was up to 1.9 (N50), 1.8 (N150), and 1.6 times (N450) higher than in averaged monocultures. Multifunctionality of four-species mixtures at N50 was at least as high as in grass monocultures at N450. Sown grass–legume mixtures combining few complementary species at low to moderate N fertilisation sustain high multifunctionality and are a ‘ready-to-use’ option for the sustainable intensification of agriculture.


2021 ◽  
pp. 031289622110095
Author(s):  
Syaiful Ali ◽  
Peter Green ◽  
Alastair Robb ◽  
Adi Masli

Using contingency theory, we argue that there is not a uniform approach for companies to govern information technology (IT) investments. Rather, the level of governance over IT investments is contingent upon the organization’s goals for its IT investments. We find that Australian organizations with both operation- and market-focused IT investment goals (i.e. dual-focused IT goals) demonstrate higher IT investment governance (ITIG) levels than those with less focused IT goals. We also document that dual-IT-focused firms that do not implement high levels of ITIG underperform. Our study informs business executives, boards of directors, and other practitioners interested in governance implementations over IT investments. JEL Classification: M1


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