The interactive effects of motives and task coordination on leadership emergence.

2018 ◽  
Vol 22 (4) ◽  
pp. 223-235
Author(s):  
Tyree D. Mitchell ◽  
William H. Bommer
2017 ◽  
Vol 29 (2) ◽  
pp. 51-71 ◽  
Author(s):  
Christian P. R. Pietsch ◽  
William F. Messier

ABSTRACT This study advances several propositions about the effects of time pressure on individuals' belief revisions within a pressure-arousal-effort-performance framework. There is a significant body of research that documents the importance of both time pressure and order effects in an accounting environment. However, prior research has not investigated how the order of information affects individuals' belief revision processes under varying levels of time pressure, even though the inclusion of a time pressure variable has been noted as relevant in belief revision research, both in general (Hogarth and Einhorn 1992) and in accounting (Kahle, Pinsker, and Pennington 2005; Trotman and Wright 2000). In this review, we extend prior belief revision research in accounting by describing how time pressure interacts with personal and task variables and the subprocesses described in the belief-adjustment model (Hogarth and Einhorn 1992). Propositions are advanced on the effects of time pressure on individuals' belief revisions. A better understanding of such interactive effects helps to explain the mixed results identified in prior studies.


1976 ◽  
Vol 38 (2) ◽  
pp. 415-419 ◽  
Author(s):  
Robert C. Benfari

A randomized experiment was carried out in order to test the hypotheses of the interactive effects of Type A-B behavior and group process outcomes with 30 students. Small groups were rated on Bales' activity level, feelings in the group, and task orientation at the beginning and end of sessions. Although groups were initially similar, activity level and positive feelings were higher in the Type B group than in Type A group. The implications for behavioral intervention and long-term outcomes were discussed.


2021 ◽  
pp. 216770262199180
Author(s):  
Elise M. Cardinale ◽  
David Pagliaccio ◽  
Caroline Swetlitz ◽  
Hannah Grassie ◽  
Rany Abend ◽  
...  

Aberrant decision-making characterizes various pediatric psychopathologies; however, deliberative choice strategies have not been investigated. A transdiagnostic sample of 95 youths completed a child-friendly sequential sampling paradigm. Participants searched for the best offer by sampling a finite list of offers. Participants’ willingness to explore was measured as the number of offers sampled, and ideal task performance was modeled using a Markov decision-process model. As in previous findings in adults, youths explored more offers when lists were long compared with short, yet participants generally sampled fewer offers relative to model-estimated ideal performance. Searching deeper into the list was associated with choosing better price options. Analyses examining the main and interactive effects of transdiagnostic anxiety and irritability symptoms indicated a negative correlation between anxiety and task performance ( p = .01, η p2 = .08). Findings suggest the need for more research on exploratory decision impairments in youths with anxiety symptoms.


1978 ◽  
Vol 12 (3) ◽  
pp. 370-380 ◽  
Author(s):  
Mark H. Thelen ◽  
Stephen C. Paul ◽  
Stephen J. Dollinger ◽  
Michael C. Roberts

1973 ◽  
Vol 41 (2) ◽  
pp. 224-233 ◽  
Author(s):  
David R. Shaffer ◽  
Clyde Hendrick ◽  
C. Robert Regula ◽  
Joseph Freconna

Author(s):  
Abdul Waheed ◽  
Munam Ali Shah ◽  
Abid Khan ◽  
Gwanggil Jeon

AbstractVehicular networks as the key enablers in Intelligent Transportation Systems (ITS) and the Internet of Things (IoT) are key components of smart sustainable cities. Vehicles as a significant component of smart cities have emerging in-vehicle applications that can assist in good governance for sustainable smart cities. Most of these applications are delay sensitive and demand high computational capabilities that are provided by emerging technologies. Utilizing the distributed computational resources of vehicles with the help of volunteer computing is an efficient method to fulfill the high computational requirements of vehicles itself and the other components of smart cities. Vehicle as a resource is an emerging concept that must be considered to address the future challenges of sustainable smart cities. In this paper, an infrastructure-assisted job scheduling and task coordination mechanism in volunteer computing-based VANET called RSU-based VCBV is proposed, which enhances the architecture of VANET to utilize the surplus resources of vehicles for task execution. We propose job scheduling and task coordination algorithms for different volunteer models. Further, we design and implement an adaptive task replication method to seek fault tolerance by avoiding task failures due to locations of vehicles. We propose a task replication algorithm called location-based task replication algorithm. Extensive simulations validate the performance of our proposed volunteer models while comparing average task execution time and weight ratios with existing work.


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