Purpose This study aims to explore the effects of performance management systems' (PMS) perceived accuracy on employees' motivation. More specifically, this study draws on motivation crowding theory and self-determination theory to hypothesize the relationships between perceived PMS accuracy and intrinsic and extrinsic motivation and introduce two contextual moderating factors: participation in decision-making and task uncertainty. Design/methodology/approach Data were collected through a questionnaire distributed to a sample of local government employees. Data were collected longitudinally over two measurement waves (T1 and T2), each separated by a four-month lag. Findings The results revealed that perceived PMS accuracy is positively associated with both intrinsic and extrinsic motivation, and participation in decision-making and task uncertainty both positively moderate the relationship between perceived PMS accuracy and extrinsic motivation. Originality/value This study contributes to clarifying the relevance of perceived PMS accuracy and the role played by significant contextual variables and offers recommendations to help design and implement PMS more effectively.
机构:
Hanyang Univ, Coll Social Sci, Sch Tourism, 222 Wangsimni Ro, Seoul 04763, South KoreaHanyang Univ, Coll Social Sci, Sch Tourism, 222 Wangsimni Ro, Seoul 04763, South Korea
Lee, Yerim
Kim, Haeok Liz
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机构:
Hanyang Univ, Comp Social Sci Ctr, 222 Wangsimni Ro, Seoul 04763, South KoreaHanyang Univ, Coll Social Sci, Sch Tourism, 222 Wangsimni Ro, Seoul 04763, South Korea
Kim, Haeok Liz
Hyun, Sunghyup Sean
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h-index: 0
机构:
Hanyang Univ, Coll Social Sci, Sch Tourism, 222 Wangsimni Ro, Seoul 04763, South KoreaHanyang Univ, Coll Social Sci, Sch Tourism, 222 Wangsimni Ro, Seoul 04763, South Korea
机构:
Kalbis Business & Technol Inst, Fac Creat Ind, Informat Syst, Jakarta, IndonesiaKalbis Business & Technol Inst, Fac Creat Ind, Informat Syst, Jakarta, Indonesia
Kusumawati, Arie
PROCEEDINGS OF 2017 4TH INTERNATIONAL CONFERENCE ON NEW MEDIA STUDIES (CONMEDIA 2017),
2017,
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