THE DEVELOPMENT OF HAPPY WORKPLACE INDEX

Abstract

This research aims to study and develop a Happy Workplace Index using mixed methods research. Quantitative and qualitative data were collected using various methods such as: (1) literature review, (2) happy workplace index synthesis, (3) content validation by experts, (4) pilot study, and (5) analysis and improvement. Selection of organizations for quantitative sampling was done by randomly selecting organizations subjected to external review in 2008. Selection of organizations for qualitative sampling was done by assignment of selection criteria of informants including the organization leader, staff in personnel administration, and human resources management divisions. There were 93 organizations selected for quantitative review and 8 organizations selected for qualitative review. The research tools consisted of a self-evaluation handbook (Happy Workplace Index: Questionnaire for self-assessment), questionnaires for asking the staff and guideline for interviews. Qualitative data were analysed using content analysis and quantitative data were analysed using frequency, percentages, and exploratory factor analysis (EFA). The result revealed that the developed Happy Workplace Index was comprised of 39 indices set with 5 dimensions. The first dimension was human resources management (6 sub-indices), the second dimension was environment and atmosphere in enhancing health (10 sub-indices), the third dimension was healthy organization creation process (8 sub-indices), the fourth dimension was physical and mental health (11 sub-indices), and the fifth dimension was results (4 sub-indices). Results of EFA created 4 crucial components which are: component 1—Working atmosphere (18 sub-indices) with factor loading between 0.39 0.86, component 2—Human resources management (9 sub-indices) with factor loading between 0.48 0.67, component 3—Physical and mental health (4 sub-indices) with factor loading between 0.50 0.81, and component 4—Growth or organizational products quality (4 sub-indices) with factor loading between 0.35 0.77, which adequately

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