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Institution

Concordia University

EducationMontreal, Quebec, Canada
About: Concordia University is a education organization based out in Montreal, Quebec, Canada. It is known for research contribution in the topics: Control theory & Population. The organization has 13565 authors who have published 31084 publications receiving 783525 citations. The organization is also known as: Sir George Williams University & Loyola College, Montreal.


Papers
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Journal ArticleDOI
TL;DR: The authors argue that emotional labor may facilitate task effectiveness and self-expression, but it also may prime customer expectations that cannot be met and may trigger emotive dissonance and selfalienation.
Abstract: Emotional labor is the display of expected emotions by service agents during service encounters. It is performed through surface acting, deep acting, or the expression of genuine emotion. Emotional labor may facilitate task effectiveness and self-expression, but it also may prime customer expectations that cannot be met and may trigger emotive dissonance and self-alienation. However, following social identity theory, we argue that some effects of emotional labor are moderated by one's social and personal identities and that emotional labor stimulates pressures for the person to identify with the service role. Research implications for the micro, meso, and macro levels of organizations are discussed.

2,667 citations

Reference EntryDOI
01 Jun 2007
TL;DR: In this paper, a developmental perspective of peer interactions, relationships, and groups is presented covering the periods of infancy, toddlerhood, early childhood, middle childhood, and adolescence, and methods and measures pertaining to the study of children's peer experiences are described.
Abstract: The chapter begins with a distinction made between the interactions children have with peers, the relationships they form with peers, and the groups and networks within which peer interactions and relationships occur. From this conceptual overview, a review of relevant theories is presented. Thereafter, a developmental perspective of peer interactions, relationships, and groups is presented covering the periods of infancy, toddlerhood, early childhood, middle childhood, and adolescence. Subsequently, methods and measures pertaining to the study of children's peer experiences are described. Next, we examine factors that may account for peer acceptance and rejection as well as qualitatively rich and poor friendships. Among the factors discussed are included temperament (biological factors), sex of child, parenting, parent-child relationships, and culture. The chapter concludes with a discussion of the extent to which individual differences in peer acceptance, rejection and friendship (prevalence and quality) predict adaptive and maladaptive developmental outcomes and a suggested agenda for future research. Keywords: friendship; peer interactions; peer relationships; peer rejection; social acceptance; social competence

2,664 citations

Journal ArticleDOI
TL;DR: In this paper, a theory of the opportunity identification process is proposed, which identifies entrepreneur's personality traits, social networks, and prior knowledge as antecedents of entrepreneurial alertness to business opportunities.

2,481 citations

Journal ArticleDOI
TL;DR: A bibliographical review on reconfigurable fault-tolerant control systems (FTCS) is presented, with emphasis on the reconfiguring/restructurable controller design techniques.

2,455 citations

Journal ArticleDOI
01 May 1992
TL;DR: On applying these methods to combine several classifiers for recognizing totally unconstrained handwritten numerals, the experimental results show that the performance of individual classifiers can be improved significantly.
Abstract: Possible solutions to the problem of combining classifiers can be divided into three categories according to the levels of information available from the various classifiers. Four approaches based on different methodologies are proposed for solving this problem. One is suitable for combining individual classifiers such as Bayesian, k-nearest-neighbor, and various distance classifiers. The other three could be used for combining any kind of individual classifiers. On applying these methods to combine several classifiers for recognizing totally unconstrained handwritten numerals, the experimental results show that the performance of individual classifiers can be improved significantly. For example, on the US zipcode database, 98.9% recognition with 0.90% substitution and 0.2% rejection can be obtained, as well as high reliability with 95% recognition, 0% substitution, and 5% rejection. >

2,389 citations


Authors

Showing all 13754 results

NameH-indexPapersCitations
Alan C. Evans183866134642
Michael J. Meaney13660481128
Chao Zhang127311984711
Charles Spence11194951159
Angappa Gunasekaran10158640633
Kaushik Roy97140242661
Muthiah Manoharan9649744464
Stephen J. Simpson9549030226
Roy A. Wise9525239509
Dario Farina9483232786
Yavin Shaham9423929596
Elazer R. Edelman8959329980
Fikret Berkes8827149585
Ke Wu87124233226
Nick Serpone8547430532
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202375
2022343
20211,859
20201,861
20191,734
20181,680