The Impact of Channel Leadership Behavior on Intrachannel Conflict

1983 ◽  
Vol 47 (3) ◽  
pp. 21-34 ◽  
Author(s):  
Patrick L. Schul ◽  
William M. Pride ◽  
Taylor L. Little
Keyword(s):  
Factor Analysis ◽  
Correlation Analysis ◽  
Leadership Style ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Leadership Behavior ◽  
Distribution Channel ◽  
Product Service ◽  
Different Types ◽  
The Impact

This study examines the impact of different types of channel leadership behavior on channel members' perceptions of intrachannel conflict in a franchise distribution channel. Factor analysis and canonical correlation analysis are used to explore the relationships between participative, supportive and directive leadership behavior and dependent measures of intrachannel conflict. The results indicate that conflict arising from both administrative and product-service issues diminishes when the franchisor is perceived to exhibit a leadership style emphasizing participation, support and direction in carrying out channel activities.

scholarly journals Canonical Correlation Analysis and a New Composite Index on Digitalization and Labor Force in the Context of the Industrial Revolution 4.0

2020 ◽  
Vol 12 (17) ◽  
pp. 6812
Author(s):  
Ane-Mari Androniceanu ◽  
Irina Georgescu ◽  
Manuela Tvaronavičienė ◽  
Armenia Androniceanu
Keyword(s):  
Correlation Analysis ◽  
Labor Force ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Structural Changes ◽  
Industrial Revolution ◽  
Composite Index ◽  
Developed Countries ◽  
World Economic ◽  
The Impact

The current phenomenon of the economy-accelerated digitalization, known as the “Industry 4.0”, will generate both an increased productivity, connectivity and several transformations on the labor force skills. Our research objectives are to determine the influence that digitalization has had on the workforce in several developed countries and to propose a new composite indicator that reflects these dynamics over time. We have used the Canonical Correlation Analysis (CCA) in order to identify and analyze the correlations between two sets of variables, an independent one and a dependent one. Data were collected from the World Bank and World Economic Forum for the years 2018–2019. Based on the results of our research we have determined and made a consistent analysis of the new composite index of digitalization and labor force in 19 countries. The results of our research are relevant and show not only the impact of digitalization on the labor force in different countries, but also the structural changes required by the new economic and social models. Our research can help decision-makers get in advance the necessary measures in the field of labor force in order to ensure a proper integration of these measures into the new economic model based on digitalization.

Canonical correlation analysis of the impact of ICT on the diversification performance

2020 ◽  
Vol 19 (2/3) ◽  
pp. 202
Author(s):  
Omar Alexánder León García ◽  
Juan Ignacio Igartua Lopez ◽  
Jaione Ganzarain Epelde
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
The Impact

Real-time damage detection of degrading systems

2019 ◽  
Vol 19 (3) ◽  
pp. 810-837 ◽  
Author(s):  
Tapas Tripura ◽  
Basuraj Bhowmik ◽  
Vikram Pakrashi ◽  
Budhaditya Hazra
Keyword(s):  
Correlation Analysis ◽  
Damage Detection ◽  
Real Time ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Degree Of Freedom ◽  
Time Varying ◽  
Analysis Algorithm ◽  
Stiffness Reduction ◽  
The Impact

In this article, a robust output-only real-time damage detection technique for multi-degree-of-freedom degrading systems using recursive canonical correlation analysis is presented. It has been observed that the impact of damage to a vibrating system gradually advances with time that sustains until the system degrades up to a considerable extent. Of significant interest is the effect of sudden damage in presence of continuous degradation in real-time, which is studied in the form of a sudden stiffness reduction in a separate floor. The proposed recursive canonical correlation analysis algorithm estimates the iterative update of eigenspace at each instant from the response data, thereby capturing the features of a time varying degrading structure in an online framework. Furthermore, recursive canonical correlation analysis algorithm is shown to reduce the computational cost by updating the eigenspace at each instant of time. This article explores newly developed recursive condition indicators: recursive Mahalanobis distance and recursive Itakura distance that elicit damage information from the eigenspace. In order to model degradation, simulations aimed at successfully capturing the behavior of the process in real-time becomes imperative. A general stochastic formulation of the coupled response-degradation problem accounting for the evolution of degradation is presented in the light of stiffness degradation problems. The evolution of time varying system responses is generated using a newly proposed Ito–Taylor expansion-based stochastic numerical integration formulation. Numerically simulated structural vibrating systems, namely, 2-degree-of-freedom base-isolated and 4-degree-of-freedom linear systems, have been used to check the performance of the recursive canonical correlation analysis method. The spatial damage detectability of the algorithm in real-time is explored through identifying crack location on a beam traversed by a vehicle. Finally, an experimental case study has been carried out to verify the robustness of the proposed algorithm. The identification results for both numerical and experimental cases demonstrate the efficacy of the proposed algorithm in identification of nonlinear and time varying behavior associated with degrading structural systems.

scholarly journals ANALISIS KORELASI KANONIK PADA HUBUNGAN ANTARA SOFT SKILLS TERHADAP PRESTASI BELAJAR MAHASISWA

2019 ◽  
Vol 8 (4) ◽  
pp. 267
Author(s):  
NI PUTU JULIANINGSIH ◽  
EKA N KENCANA ◽  
KOMANG GDE SUKARSA
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Soft Skills ◽  
Sampling Technique ◽  
Primary Data ◽  
Learning Achievement ◽  
Confirmatory Factor

The purpose of this study is to know the relationship between soft skills and learning achievement using canonical correlation analysis and to find out the dominant dimensions of soft skills and learning achievement using confirmatory factor analysis. The data used are primary data obtained by distributing questionnaires. The sampling technique used was proportional to size sampling with the number of respondents as many as 150 respondents. The results of the study with canonical correlation analysis showed that soft skills with learning achievement had a close relationship with canonical correlation values ??of 0.70397. The results of the study with confirmatory factor analysis showed that the dominant dimensions of soft skills and learning achievement were flexibility with the percentage of the variance of 69.081% and cognitive percentage of the variance of 71.706%.

Δυναμική μελέτη με χρήση μαγνητοεγκεφαλογραφίας - ηλεκτροεγκεφαλογραφίας ασθενών με διαταραχές των ανωτέρων γνωσιακών λειτουργιών

2015 ◽  
Author(s):  
Ελισσαίος Καραγεωργίου
Keyword(s):  
Factor Analysis ◽  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Cross Correlations

Ο κύριος στόχος της παρούσας διδακτορικής διατριβής ήταν η διερεύνηση των χαρακτηριστικών των σύγχρονων νευρικών αλληλεπιδράσεων (synchronous neuralinteractions – SNI), όπως εκφράζονται στο εγκεφαλογραφικό σήμα μέσω των σύγχρονων μερικών ετεροσυσχετίσεων (partial cross-correlations – 0ij PCC ) μεταξύ αισθητήρων, σε ασθενείς με γνωσιακές διαταραχές. Η μελέτη χωρίστηκε σε δύο μέρη.Στο πρώτο μέρος της διατριβής, περιγράφεται μια δοκιμασία για την αξιολόγηση των δυναμικών λειτουργιών του εγκεφάλου μέσω της μαγνητοεγκεφαλογραφίας (ΜΕΓ)σε ασθενείς με νευρολογικές ή ψυχικές διαταραχές. Η δοκιμασία βασίζεται στη μέτρηση των δυναμικών SNI, μια ουσιαστική πτυχή της λειτουργίας του εγκεφάλου. Τα ΜΕΓ σήματα καταγράφηκαν από 248 αξονικά πρανήμετρα καθώς 142 εθελοντές εστίασαν το βλέμμα τους σε ένα φωτεινό σημείο για 45-60 s. Μετά από την εφαρμογή Αυτοπαλινδρομούμενου Διαφοροποιούμενου Κινητού Μέσου Όρου (Autoregressive υπολοιπόμενες ακολουθίες, υπολογίσθηκαν όλες οι σύγχρονες μερικές ετεροσυσχετίσεις και οι z-μετασχηματισμοί (z-transformations – ) μεταξύ των 248 αισθητήρων, παρέχοντας το μέγεθος και το πρόσημο (θετικό, αρνητικό) της άμεσης σύγχρονης συσχέτισης με χρονική ευκρίνεια 1 ms. Διαπιστώθηκε ότι SNI υποσύνολα επιτυχώς κατέταξαν εθελοντές στις αντίστοιχες ομάδες τους (σκλήρυνση κατά πλάκας, νόσος του Alzheimer, σχιζοφρένια, σύνδρομο Sjögren, χρόνιος αλκοολισμός, προσωπαλγία, υγιείς) και παρείχαν άριστα αποτελέσματα βάσει εξωτερικής διασταυρούμενης επιβεβαίωσης.Στο δεύτερο μέρος της διατριβής, γίνεται άμεση σύγκριση μεταξύ SNI και γνωσιακών λειτουργιών σε εθελοντές που πάσχουν από νόσο του Alzheimer. Οι γνωσιακές λειτουργίες αντιπροσωπεύθηκαν μέσω νευροψυχολογικών μετρήσεων (neuropsychological scores – NP). Κατ’ αρχάς, υπολογίσθηκαν όλες οι μεμονωμένες συσχετίσεις μεταξύ κάθε SNI και κάθε NP, επιτρέποντας μια αρχική κατανόηση των SNI μέσω των συγκεκριμένων γνωσιακών δοκιμασιών. Δεύτερον, εφαρμόζοντας Ανάλυση Κανονικών Συσχετίσεων (canonical correlation analysis – CCA) μεταξύ των δύο συνόλων μεταβλητών (SNI και NP), και μετά από ανάλυση παραγόντων (factor analysis) κάθε συνόλου, επιτεύχθηκε η βέλτιστη συσχέτιση μεταξύ ολόκληρου του ΜΕΓ σήματος και των γνωσιακών λειτουργιών. Τα αποτελέσματα δεικνύουν ότι οι SNI στο σύνολό τους σχετίζονται πιο ισχυρά με τη μνήμη και τη γλώσσα, και λιγότερο με την εκτελεστική λειτουργία. Ακόμη και κατά την ανάλυση μεμονωμένων συσχετίσεων υπήρχαν πολύ περισσότερες SNI που σχετίζονταν με τη μνήμη. Αυτά τα αποτελέσματα παρέχουν μια άμεση ερμηνεία της πληροφορίας που υπάρχει στις SNI και αποτελούν τη βάση για την αναγνώριση συγκεκριμένων νοσολογικών φαινοτύπων σύμφωνα με τις υποκείμενες γνωσιακές διαταραχές.

scholarly journals Methodological Approaches to Assessing the Impact of Information Technologies on Economic Growth in the Regions of Russia

2020 ◽  
pp. 23-34
Author(s):  
Elena Petrova ◽  
Petr Bondarenko ◽  
Alla Shipileva
Keyword(s):  
Economic Growth ◽  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Russian Federation ◽  
Canonical Correlation ◽  
Methodological Approach ◽  
Assessment Tools ◽  
Broadband Internet ◽  
The Russian Federation ◽  
The Impact

In this work, the authors propose a methodological approach to study the impact of using NBICtechnologies on the economic growth of the regions of the Russian Federation. The authors show that among NBIC-technologies they are ICT that have the greatest impact on economic growth. The assessment tools are integrated empirical analysis methods. At the first stage, a cluster analysis was carried out using the k-means method according to the per-capita GRP, the level of population income and the level of ICT use, under which three groups of Russian regions were distinguished, characterized by low, medium and high dynamics of economic growth. At the second stage, a canonical correlation analysis was carried out and analytical expressions of the interconnections of economic growth indicators and a set of indicators characterizing the development and use of ICT in the regions of the Russian Federation were obtained. The study proves the relationship between ICT and economic growth in the regions of the Russian Federation. The greatest influence is exerted by indicators such as the number of mobile cell phones and broadband Internet subscribers. The canonical correlation analysis for the selected groups of regions did not give positive results, the results for the first cluster, which is characterized by low dynamics of economic growth, turned out to be statistically significant. Most likely, this is due to the fact that in this group using ICT gives the greatest effect. However, the substantiation of this hypothesis requires the expansion of the statistical base of the study, both in time and in terms of expanding the composition of indicators that reflect not only economic, but also social aspects of the processes under study.

Sign in / Sign up

Export Citation Format

Share Document