Adaptive aspirations and performance heterogeneity: Attention allocation among multiple reference points

2014 ◽  
Vol 36 (7) ◽  
pp. 987-1005 ◽  
Author(s):  
Daniela P. Blettner ◽  
Zi-Lin He ◽  
Songcui Hu ◽  
Richard A. Bettis
1997 ◽  
Author(s):  
Lisa Ordonez ◽  
Terry Connolly ◽  
Richard Coughlan

2020 ◽  
pp. 108602661989399 ◽  
Author(s):  
Franziska Sump ◽  
Sangyoon Yi

Organizations often respond in different ways to common external shocks. To advance theories on organizational adaptation and performance heterogeneity, it is essential to understand different reasons for different organizational responses. We examine how incumbents in carbon-intensive industries adapt to heightened environmental pressure to reduce carbon emissions. Based on a review of the literature, we propose three dimensions along which diverse organizational responses can be efficiently mapped out: goal, timing, and scope. Building on our proposed dimensions, we develop a typology of five different organizational responses. With this, we show that organizational responses are more diverse than a one-dimensional scale could show but that the heterogeneity is somehow limited as the positions on the dimensions are not independent but correlated. To understand this observed limited heterogeneity, we proceed by identifying reasons behind different organizational responses. Furthermore, we discuss the theoretical implications of our findings for research on organizational adaptation and sustainability.


Author(s):  
Lisa D. Ord��ez ◽  
Terry Connolly ◽  
Richard Coughlan

2018 ◽  
Vol 18 (6) ◽  
pp. 243-250 ◽  
Author(s):  
Zhang Ji-wang ◽  
Zhang Lai-bin ◽  
Ding Ke-Qin ◽  
Duan Li-xiang

Abstract High-speed blades form core mechanical components in turbomachines. Research concerning online monitoring of operating states of such blades has drawn increased attention in recent years. To this end, various methods have been devised, of which, the blade tip-timing (BTT) technique is considered the most promising. However, the traditional BTT method is only suitable for constant-speed operations. But in practice, the rotational speed of turbomachine blades is constantly changing under the influence of external factors, which lead to unacceptable errors in measurement. To tackle this problem, a new BTT method based on multi-phases is proposed. A plurality of phases was arranged as evenly as possible on the rotating shaft to determine the rotation speed. Meanwhile, the corresponding virtual reference point was determined in accordance with the number of blades between consecutive phases. Based on these reference points, equations to measure displacement due to blade vibrations were deduced. Finally, mathematical modeling, numerical simulation and experimental tests were performed to verify the validity of the proposed method. Results demonstrate that the error in measurement induced when using the proposed method is less than 1.8 %, which is much lower compared to traditional methods utilized under variable-speed operation.


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