Two Planning Strategies: Incremental Change and Transformational Change

1979 ◽  
Vol 4 (4) ◽  
pp. 476-484 ◽  
Author(s):  
Herbert S. Kindler
2020 ◽  
Vol 3 ◽  
Author(s):  
Paul C. Stern

Non-technical summary Lamb et al. (2020) identified 12 discourses used by a counter-movement to delay or weaken action to limit climate change. This commentary notes three discourses used by those promoting such action that can also delay meaningful action: insisting on transformational change to the exclusion of incremental change, downplaying the value of emissions targets, and focusing attention on adaptation.


2014 ◽  
Vol 13 (2) ◽  
pp. 70-86 ◽  
Author(s):  
Dan S. Chiaburu ◽  
Troy A. Smith ◽  
Jiexin Wang ◽  
Ryan D. Zimmerman

We meta-analytically examine the relationships between three forms of leader influence, contingent reward (transactional), leader-member exchange (LMX; relational), and transformational (change-oriented) on subordinates’ proactive behaviors. Using non-self-reported data from a combined sample of more than 9,000 employees, we confirm positive relationships between leader influences and employee proactive outcomes. We examine the extent to which one leadership influence is stronger than the others in promoting subordinate proactivity. By combining our new meta-analytic data with existing meta-analytic correlations, we further investigate the extent to which various leadership predictors are differentially related to proactive and prosocial contextual performance, and to task performance. For all outcomes, there are only minimal differences between the contingent reward, LMX, and transformational leadership predictors. Using our results, we propose future research directions for the relationship between leader influences and subordinate work effectiveness.


2006 ◽  
Author(s):  
Alannah E. Rafferty ◽  
Mark A. Griffin

Author(s):  
Edward Reutzel ◽  
Kevin Gombotz ◽  
Richard Martukanitz ◽  
Panagiotis Michaleris

Author(s):  
Eugénia C. Heldt

Time plays a central role in international organizations (IOs). Interactions among actors are embedded in a temporal dimension, and actors use formal and informal time rules, time discourses, and time pressure to obtain concessions from their counterparts. By the same token, legacies and innovations within and outside IOs can be examined as a dynamic process evolving over time. Against this background, this chapter has a twofold aim. First, it examines how actors use time in IOs with a particular focus on multilateral negotiations to justify their actions. Drawing on international relations studies and negotiation analysis, this piece explores six different dimensions of time in the multilateral system: time pressure, time discourse, time rules, time costs, time horizons, and time as a resource. Second, this chapter delineates the evolution of IOs over time with the focus on innovations that emerge to adapt their institutional system to new political and economic circumstances. This piece looks particularly at endogenous and exogenous changes in IOs, recurring to central concepts used by historical institutionalism, including path dependence, critical junctures, and sequencing. This allows us to map patterns of incremental change, such as displacement, conversion, drift, and layering.


2014 ◽  
Vol 19 (3) ◽  
Author(s):  
Andrea Babon ◽  
Daniel McIntyre ◽  
Gae Y. Gowae ◽  
Caleb Gallemore ◽  
Rachel Carmenta ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Javad Khanali ◽  
Mohammad-Reza Malekpour ◽  
Ali-Asghar Kolahi

Abstract Background When a new or re-emergent pathogen, such as SARS-CoV-2, causes a major outbreak, rapid access to pertinent research findings is crucial for planning strategies and decision making. We researched whether the speed of sharing research results in the COVID-19 epidemic was higher than the SARS and Ebola epidemics. We also researched whether there is any difference in the most frequent topics investigated before and after the COVID-19, SARS, and Ebola epidemics started. Methods We used PubMed database search tools to determine the time-period it took for the number of articles to rise after the epidemics started and the most frequent topics assigned to the articles. Results The main results were, first, the rise in the number of articles occurred 6 weeks after the COVID-19 epidemic started whereas, this rise occurred 4 months after the SARS and 7 months after the Ebola epidemics started. Second, etiology, statistics & numerical data, and epidemiology were the three most frequent topics investigated in the COVID-19 epidemic. However, etiology, microbiology, and genetics in the SARS epidemic, and statistics & numerical data, epidemiology, and prevention & control in the Ebola epidemic were more frequently studied compared with other topics. Third, some topics were studied more frequently after the epidemics started. Conclusions The speed of sharing results in the COVID-19 epidemic was much higher than the SARS and Ebola epidemics, and that there is a difference in the most frequent articles’ topics investigated in these three epidemics. Due to the value of time in controlling epidemics spread, the study highlights the necessity of defining more solutions for rapidly providing pertinent research findings in fighting against the next public health emergency.


Sign in / Sign up

Export Citation Format

Share Document