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Autor/inn/enSahito, Zafarullah; Vaisanen, Pertti
TitelThe Diagonal Model of Job Satisfaction and Motivation: Extracted from the Logical Comparison of Content and Process Theories
QuelleIn: International Journal of Higher Education, 6 (2017) 3, S.209-230 (22 Seiten)Infoseite zur Zeitschrift
PDF als Volltext kostenfreie Datei Verfügbarkeit 
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1927-6044
SchlagwörterJob Satisfaction; Motivation; Employee Attitudes; Employees; Models; Job Performance; Personnel Evaluation; Psychological Needs; Organizational Theories; Research Methodology; Mathematical Logic; Human Resources; Meta Analysis
AbstractThe purpose of this study is to explore the strongest areas of all prime theories of job satisfaction and motivation to create a new multidimensional model. This model relies on all explored areas from the logical comparison of content and process theories to understand the phenomenon of job satisfaction and motivation of employees. The model consists of the whole picture of the professional life of employees and the requirements of organisations to fulfil employees' basic and fundamental needs and lead them towards the highly successful ratio to achieve personal, professional and organisational goals. The resulting model would be strong and easy to use by all stakeholders (i.e. employees, heads of departments and the organisation) to gain first-hand knowledge of the employees' level of satisfaction, motivation, performance and product. Because the measurement of every employee action and organisational policy would be calculated through different values, the evaluation generated through this model consists of top to bottom and bottom to top diagonal approaches as well as the central value of the model. (As Provided).
AnmerkungenSciedu Press. 1120 Finch Avenue West Suite 701-309, Toronto Ontario, Canada M3J 3H7. Tel: 416-479-0028; Fax: 416-642-8548; e-mail: ijhe@scieduca; Web site: http://www.sciedupress.com/ijhe
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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