A Managerial Early Warning System

2018 ◽  
pp. 100-121 ◽  
Author(s):  
Ramona-Diana Leon
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Corporate Strategy ◽  
Warning System ◽  
Multiple Case Study ◽  
Business Results ◽  
Multiple Case ◽  
The One ◽  
Practical Implications

The purpose of this research is to determine how managers could influence the results generated by a managerial early warning system, based on an artificial neural network. In order to achieve this goal, a multiple case-study strategy is employed which combines the qualitative with the quantitative perspective. The results prove that 78.10% of the variability of the managerial early warning system reliability can be explained by managers' influence and company's size; the first one is negatively correlated with system's reliability while the latest is positively correlated with system's reliability. These findings have both theoretical and practical implications. On the one hand, they extend the literature regarding managers' participation in the process of developing the future corporate strategy. On the other hand, they offer a better understanding on how managers may influence not only the identification of the weak signals but also the development of scenarios and forecasted business results.

scholarly journals Function of private singing in instrumental music learning: A multiple case study of self-regulation and embodiment

2018 ◽  
Vol 23 (4) ◽  
pp. 442-464 ◽  
Author(s):  
Amalia Casas-Mas ◽  
Guadalupe López-Íñiguez ◽  
Juan Ignacio Pozo ◽  
Ignacio Montero
Keyword(s):  
Instrumental Music ◽  
Self Regulation ◽  
Approaches To Learning ◽  
Multiple Case Study ◽  
Private Speech ◽  
String Instruments ◽  
Multiple Case ◽  
One To One ◽  
The One

The aim of this article is to explore a range of largely embodied vocalisations and sounds produced by learners of string instruments and how they relate to the potential self-regulatory use provided by such vocalisations. This type of “singing” while learning to play an instrument may have similarities to the use of private speech in other types of learning tasks. This report describes a multiple case study based on the naturalistic observation of learners playing string instruments in different situations. We observed private rehearsals by six adult guitarists from different music cultures (classical, flamenco and jazz) who had different approaches to learning (traditional and constructivist). In addition, we observed the one-to-one lessons of a constructivist cello teacher with a 7-year-old beginner and a 12-year-old student. All sessions were recorded. We applied the System for Analysing the Practice of Instrumental Lessons to the video lessons and/or practices and participant discourse for constant comparative analysis across all categories and participants. From the theoretical framework of private speech, we identified a set of qualities in private singing, such as whistling, humming, and guttural sounds, with different levels of audibility. Self-guidance and self-regulation appeared to be the functions underlying both psychomotor learning and reflective-emotional learning from an embodiment approach. Guitar learners from popular urban cultures seemed to use less explicit singing expression than classical guitar learners, the explicitness of which may be related to the instructional use of the notational system. In the one-to-one cello lessons, we observed a process of increasing internalisation from the younger to the older student. Both results are consistent with the literature on private speech, indicating that this process is a natural process of internalisation at higher literacy levels. Singing is not as frequent in music lessons as might be expected, and it is even less frequently used as a reflective tool or understood as an embodied process. The examples provided in this article shed light on the multiplicity of applications and on the potential benefits of private singing in instructional contexts as a powerful learning tool.

scholarly journals Design of early warning system for nuclear preparedness case study at Serpong

2017 ◽  
Author(s):  
M. M. Farid ◽  
Prawito ◽  
I. P. Susila ◽  
A. Yuniarto
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System

ANALYSIS OF THE ACCURACY OF AN EARLY WARNING SYSTEM FOR LEARNERS AT-RISK: A CASE STUDY

2019 ◽  
Author(s):  
David Baneres ◽  
Abdulkadir Karadeniz ◽  
Ana-Elena Guerrero-Roldán ◽  
M. Elena Rodríguez-Gonzalez ◽  
Montse Serra
Keyword(s):  
At Risk ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System

Developing Strategies in the Sharing Economy

2022 ◽  
pp. 1224-1245
Author(s):  
Ramona Diana Leon
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Early Warning ◽  
Early Warning System ◽  
Business Models ◽  
Warning System ◽  
Sharing Economy ◽  
Knowledge Based ◽  
Artificial Neural ◽  
The One

The sharing economy is challenging the traditional business models and strategies by encouraging collaboration, non-ownership, temporal access, and redistribution of goods and/or services. Within this framework, the current chapter aims to examine how managers influence, voluntarily or involuntarily, the reliability of a managerial early warning system, based on an artificial neural network. The analysis focuses on seven Romanian sustainable knowledge-based organizations and brings forward that managers tend to influence the results provided by a managerial early warning system based on artificial neural network, voluntarily and involuntarily. On the one hand, they are the ones who consciously decide which departments and persons are involved in establishing the structure of the managerial early warning system. On the other hand, they unconsciously influence the structure of the managerial early warning system through the authority they exercise during the managerial debate.

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