PMID- 34716020
OWN - NLM
STAT- MEDLINE
DCOM- 20220407
LR  - 20220826
IS  - 1873-7870 (Electronic)
IS  - 0149-7189 (Linking)
VI  - 91
DP  - 2022 Apr
TI  - A novel hybrid evaluation framework for public organizations based on employees' 
      performance factors.
PG  - 102020
LID - S0149-7189(21)00115-4 [pii]
LID - 10.1016/j.evalprogplan.2021.102020 [doi]
AB  - Performance evaluation is a comprehensive process for comparing activities 
      compared with predetermined organizational criteria. Based on the results of 
      performance evaluation, organizations can embark on purposeful actions to improve 
      their situation. Obviously, the success of organizations and the economic 
      development of the country depend on the performance of human resources (HR). 
      This paper proposes a novel hybrid evaluation framework for analyzing the 
      performance of public sector organizations. The suggested setting allows for 
      performance evaluation based on a comprehensive approach involving expert 
      knowledge. For this purpose, the research integrates the Balanced Scorecard (BSC) 
      approach and fuzzy multi-criteria decision-making (MCDM) methods. Initially, the 
      employees' performance factors (criteria) are identified from the literature 
      based on the BSC dimensions. Then, the most relevant of them are finalized 
      through the fuzzy Delphi method (FDM) questionnaires and experts' opinions. In 
      the second stage, the weights of criteria are determined by adopting the fuzzy 
      best-worst method (FBWM). Moreover, two fuzzy MCDM techniques, namely VIKOR and 
      Grey Relational Analysis (GRA), are used to examine the performance of the eight 
      important public sector organizations of Iran. Finally, a Monte Carlo 
      simulation-based (MCSB) approach and a scenario-based (SCB) approach are applied 
      to compare the effectiveness of fuzzy VIKOR and fuzzy GRA. The results suggest 
      that the critical employees' performance factors include sharing knowledge with 
      colleagues (0.136), optimal use of facilities (0.123) and participation in 
      solving organizational issues (0.118). Additionally, based on the implemented 
      sensitivity analysis approaches, fuzzy VIKOR generates more reliable results and 
      also has higher robustness than fuzzy GRA.
CI  - Copyright (c) 2021 Elsevier Ltd. All rights reserved.
FAU - Afrasiabi, Ahmadreza
AU  - Afrasiabi A
AD  - Department of Industrial Engineering, University of Kurdistan, Sanandaj, Iran. 
      Electronic address: a.afrasiabi@eng.uok.ac.ir.
FAU - Chalmardi, Mazyar Kaboli
AU  - Chalmardi MK
AD  - Department of Industrial Engineering, University of Kurdistan, Sanandaj, Iran. 
      Electronic address: m.kaboli@eng.uok.ac.ir.
FAU - Balezentis, Tomas
AU  - Balezentis T
AD  - Lithuanian Centre for Social Sciences, Vilnius, Lithuania. Electronic address: 
      tomas.balezentis@laei.lt.
LA  - eng
PT  - Journal Article
DEP - 20211020
PL  - England
TA  - Eval Program Plann
JT  - Evaluation and program planning
JID - 7801727
SB  - IM
MH  - *Fuzzy Logic
MH  - Humans
MH  - Iran
MH  - Program Evaluation
OTO - NOTNLM
OT  - Balanced Scorecard
OT  - Employees' performance factors
OT  - Fuzzy sets
OT  - Monte Carlo Simulation
OT  - Multi-Criteria Decision Making
OT  - Performance evaluation
OT  - Public sector organizations
EDAT- 2021/10/31 06:00
MHDA- 2022/04/08 06:00
CRDT- 2021/10/30 05:32
PHST- 2020/02/22 00:00 [received]
PHST- 2021/09/24 00:00 [revised]
PHST- 2021/10/11 00:00 [accepted]
PHST- 2021/10/31 06:00 [pubmed]
PHST- 2022/04/08 06:00 [medline]
PHST- 2021/10/30 05:32 [entrez]
AID - S0149-7189(21)00115-4 [pii]
AID - 10.1016/j.evalprogplan.2021.102020 [doi]
PST - ppublish
SO  - Eval Program Plann. 2022 Apr;91:102020. doi: 10.1016/j.evalprogplan.2021.102020. 
      Epub 2021 Oct 20.