Authentic Leadership in the Face of Organizational Change: Evidence from two Experimental Studies

2016 ◽  
Vol 2016 (1) ◽  
pp. 14150
Author(s):  
Katharina Haas ◽  
Susanne Braun ◽  
Dieter Frey
2019 ◽  
Author(s):  
Alexander S. Browman ◽  
Mesmin Destin ◽  
Kathleen L. Carswell ◽  
Ryan Svoboda

Despite facing daunting odds of academic success compared with their more socioeconomically advantaged peers, many students from low socioeconomic status (SES) backgrounds maintain high levels of academic motivation and persist in the face of difficulty. We propose that for these students, academic persistence may hinge on their perceptions of socioeconomic mobility, or their general beliefs regarding whether or not socioeconomic mobility—a powerful academic motivator—can occur in their society. Specifically, low-SES students' desire to persist on a primary path to mobility (i.e., school) should remain strong if they believe that socioeconomic mobility can occur in their society. By contrast, those who believe that socioeconomic mobility generally does not occur should be less motivated to persist academically. One correlational and two experimental studies provide support for this hypothesis among low (but not high) SES high school and university students. Implications for future intervention efforts are discussed.


1998 ◽  
Vol 06 (03) ◽  
pp. 281-298 ◽  
Author(s):  
Terry Huntsberger ◽  
John Rose ◽  
Shashidhar Ramaka

The human face is one of the most important patterns our visual system receives. It establishes a person's identity and also plays a significant role in everyday communication. Humans can recognize familiar faces under varying lighting conditions, different scales, and even after the face has changed due to aging, hair style, glasses, or facial hair. Our ease at recognizing faces is a strong motivation for the investigation of computational models of face processing. This paper presents a newly developed face processing system called Fuzzy-Face that combines wavelet pre-processing of input with a fuzzy self-organizing feature map algorithm. The wavelet-derived face space is partitioned into fuzzy sets which are characterized by face exemplars and membership values to those exemplars. This system learns faces using relatively few training epochs, has total recall for faces it has been shown, generalizes to face images that are acquired under different lighting conditions, and has rudimentary gender discrimination capabilities. We also include the results of some experimental studies.


Author(s):  
Afef Gueidi ◽  
Hamza Gharsellaoui ◽  
Samir Ben Ahmed

In the face of the rapid growth of data, the authors note the birth of new computer systems leading the management of databases. To ensure reliable handling of data which is bulky and heterogeneous, new systems of basic management data are differentiated from traditional ones by their linear scalability to store and manage data in parallel. Those systems are called NoSQL DB. Robotics database management systems are increasing. These systems ensure good storage of data and with big data analytics, a new approach demands new structures and methods for collecting, recording, and analyzing enterprise data. This journal article deals with the NoSQL DB which are the secret of the continual progression data that new data management solutions have emerged. The implementation of NoSQL for Robotics wrestles all data they acquire into a usable form because with the ordinary type of Robotics, people are facing big limits to find the best decision in real-time. The authors' proposed approach was based on a combination of some experimental studies in the same area.


2011 ◽  
Vol 82 ◽  
pp. 669-674 ◽  
Author(s):  
Andrew Tyas ◽  
Terry Bennett ◽  
James A. Warren ◽  
Stephen D. Fay ◽  
Sam E. Rigby

The total impulse imparted to a target by an impinging blast wave is a key loading parameter for the design of blast-resistant structures and façades. Simple, semi-empirical approaches for the prediction of blast impulse on a structure are well established and are accurate in cases where the lateral dimensions of the structure are sufficiently large. However, if the lateral dimensions of the target are relatively small in comparison to the length of the incoming blast wave, air flow around the edges of the structure will lead to the propagation of rarefaction or clearing waves across the face of the target, resulting in a premature reduction of load and hence, a reduction in the total impulse imparted to the structure. This effect is well-known; semi-empirical models for the prediction of clearing exist, but several recent numerical and experimental studies have cast doubt on their accuracy and physical basis. In fact, this issue was addressed over half a century ago in a little known technical report at the Sandia Laboratory, USA. This paper presents the basis of this overlooked method along with predictions of the clearing effect. These predictions, which are very simple to incorporate in predictions of blast loading, have been carefully validated by the current authors, by experimental testing and numerical modelling. The paper presents a discussion of the limits of the method, concluding that it is accurate for relatively long stand-off blast loading events, and giving some indication of improvements that are necessary if the method is to be applicable to shorter stand-off cases.


Author(s):  
Sheila Witherspoon ◽  
Leonis S. Wright

This chapter examines how mentoring pre-tenured and tenured faculty during organizational change of implementing fully online academic programs impacts resistant and/or supportive faculty. By using a case of an experience of some faculty at HBCUs, the authors examine how mentorship is necessary to engender a supportive and successful transition in the face of faculty members' resistance to including online education. Influence on faculty becoming adept experts of online teaching and education, prioritizing online teaching and its impact on how they approach live instruction, and anticipating how a designated mentor(s) affects teaching evaluations and research scholarship necessary to achieve rank and tenure promotion will be delineated.


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