Abstract
Orientation: Research on reward preferences remains inconclusive. Total reward theories often do not take the role of intrinsic psychological rewards into consideration. Further to this, there are not only limited instruments available to measure reward preferences but also ease of access to psychometrically sound measures is further challenging. Research purpose: The aim of this study was to develop and validate an instrument to measure reward preferences in the working environment. Motivation for the study: Organisations require tools to enhance waning motivational levels in the workplace. The measurement of reward preferences appears essential to determine what employees ultimately want from their work to improve levels of motivation. Major limitations exist regarding current reward preference instruments. Research approach/design and method: Quantitative scale development procedures were employed to construct the 32-item instrument. Data were collected from South African employees (N = 639) and processed using both Factor and Rasch analysis procedures. Main findings: The factor analysis revealed a 3-factor structure (Non-financial rewards, Financial rewards and Benefits and growth opportunities). Items evidenced good factor loadings and dimensions demonstrated high internal consistency. The dimensions and overall scale performed mostly well in accordance with Rasch Model expectations. Based on the overall results, one can confirm that the new instrument has satisfactory psychometric properties. Practical/managerial implications: The instrument can help employers and scholars to measure, understand and explore what employees value and seek from the working environment. Contribution/value-addition: The study expands on limited pre-existing theory and empirical research pertaining to the measurement of rewards preferences. A unique and psychometrically sound reward preference instrument is provided for use by scholars and employers.
Original language | English |
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Article number | a1599 |
Journal | SA Journal of Human Resource Management |
Volume | 19 |
DOIs | |
Publication status | Published - 2021 |
Keywords
- Factor analysis
- Rasch Model
- Reliability
- Reward preferences
- Rewards Desirability Inventory
- Scale development
- South Africa
- Validation
ASJC Scopus subject areas
- Demography
- Organizational Behavior and Human Resource Management