Affirm Journal of Personnel Psychology
Personnel's psychological wellbeing is one of the most significant factors affecting the performance of a business or a corporation. An understanding of personnel's psychology can also determine the organizational behavior of the employees. Therefore, adequate attention should be given to this aspect of human resource and job analysis. Affirm Journal of Personnel Psychology is an international and peer-reviewed journal devoted to disseminating research findings in psychological aspects of organizational performance and behavior. The accredited editorial board of the Affirm Journal of Personnel Psychology invites the authors to contribute to the journal by submitting original papers, empirical studies, case studies, and review papers. The focus of the Affirm Journal of Personnel Psychology is on human resource topics, including job analysis and competency development, selection and recruitment, training and development, performance and career management, diversity, rewards, and recognition, work attitudes and motivation, and leadership. At Affirm Journal of Personnel Psychology, we expect the researchers to abide rules of conducting ethical research. The accredited editorial board of Affirm Journal of Personnel Psychology will have a close look at every single manuscript sent to the journal and are sensitive to issues such as ghostwriting, unethical research practices, and inscrutable research reports. Affirm Journal of Personnel Psychology abides Principles of Transparency and Best Practice in Scholarly Publishing suggested by The Committee on Publication Ethics (COPE), the Directory of Open Access Journals (DOAJ), the Open Access Scholarly Publishers Association (OASPA), and Scopus.
Scope and Focus
Critical Thinking at Work
Employee's Creativity
Job Complexities
Job Analysis
Managing Talent at Workplace
Employee's Motivation
Performance Expectancy
Reactance Processes
Task Conflict
Job Engagement
Organizational Behavior,
Applied Psychology,
Career Management
Editor in chief
Logh
Abstracting and Indexing
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