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ISM model for assessing critical productivity factors in the Jordanian construction industry post-COVID-19 pandemic

Open Access
|Jun 2024

Figures & Tables

Fig. 1

Final ISM model of the productivity factors in the Jordanian construction projects post-COVID-19 pandemic. ISM, interpretive structural modelling.
Final ISM model of the productivity factors in the Jordanian construction projects post-COVID-19 pandemic. ISM, interpretive structural modelling.

Fig. 2

MICMAC analysis of productivity factors in Jordanian construction projects.
MICMAC analysis of productivity factors in Jordanian construction projects.

Ranked main productivity factors post-COVID-19 pandemic in Jordanian construction projects_

FactorDescriptionMeanStd. deviation
P26Material shortages3.701.226
P3Lack of empowerment (training/seminar)3.511.249
P37Late payment of salary3.491.258
P40Poor communication & coordination3.491.330
P44Improper planning & scheduling of work3.481.212
P43Variation in orders3.431.116
P6Lack of skill and experience of the Workers3.411.203
P47Poor work planning3.401.208
P49Lack of on-site cleanliness3.381.227
P33Low salary or underpaid3.371.220
P41Lack of leadership skill3.360.929
P16Lack of drawings availability, drawing errors, slow response to questions withdrawing3.331.156
P36Little or no financial rewards3.281.191
P25The poor condition of equipment and tools3.261.197
P22Workers adherence to safety measures and infection control3.221.199
P27Low quality of raw material3.111.299
P19Awareness of COVID-19 protocol3.101.277
P2Weather conditions3.091.088
P1Utilising traditional construction methods instead of modern technology3.051.279
P29Poor arrangement of materials3.031.119
P31Lack of appropriate equipment when needed or availability of inadequate equipment3.020.994
P32Lack of Materials when needed due to poor planning or delays in delivery times3.021.234
P9Changing instruction order2.981.259
P46Misunderstanding between the agency & contractor2.981.300
P42Lack of periodic meetings with labourers2.931.385
P18Improper observance of COVID-19 protocols2.801.219
P50Regulation and law2.801.231
P38Poor relations between labours and supervisors2.761.203
P34Lack of labour recognition2.751.196
P23Applicability to fully implicate social distancing in their workplace2.731.122
P5Poor relations among workers2.571.159
P4Low labourer’s morals/commitment2.481.209
P17Unsafe working conditions2.481.316
P21Accident awareness2.481.215
P24There is a proper use of PPE2.451.280
P12Changing of foreman2.441.189
P45Construction managers lack Leadership2.411.319
P11Poor or no supervision methods2.301.239
P14Supervisors’ absenteeism2.271.279
P15There is no mismatch between employee abilities and job demands2.261.222
P8Depend on hiring and employment of unskilled workers2.251.192
P35Lack of place for eating and resting2.241.080
P28Improper material storage location2.211.137
P39Lack of labour surveillance2.211.316
P10Inspection delay2.201.183
P30Lack of availability of required tools and machinery2.181.259
P48Overcrowded work areas2.171.092
P20Poor health of workers1.921.169
P7Increase in labourers’ age (above 40 years)1.790.918
P13Unskilled supervisors1.690.769

The final levels of sustainable transportation indicators after six iterations_

FactorsFactor nameLevel
P3Lack of empowerment (training/seminar)6
P40Poor communication & coordination
P22Workers will adhere to safety measures and infection control policy
P1Utilising traditional construction methods instead of modern technology
P44Improper planning & scheduling of work5
P47Poor work planning4
P26Material shortages3
P43Variation in orders
P6Lack of skill and experience of the workers
P25The poor condition of equipment and tools
P31Lack of appropriate equipment when needed or availability of inadequate equipment
P32Lack of materials when needed due to poor planning or delay in delivery times
P33Low salary2
P41Lack of leadership skill
P16Lack of drawings availability, drawing errors, slow response to questions withdrawing
P36Little or no financial rewards
P19Awareness of COVID-19 protocol
P37Late payment of salary1
P49Lack of on-site cleanliness
P27Low quality of raw material
P2Weather conditions
P29Poor arrangement of materials

Formation of SSIM_

P26P3P37P40P44P43P6P47P49P33P41P16P36P25P22P27P19P2P18P29P31P32
P26XOOXAAAXOOAOOOOAOAOAOO
P3 XOXXXXVVXAVXOXOXOXVVV
P37 XOAAOAOOAOOAOOOOOOOO
P40 XXXXXVOAVOOXOOOXVVV
P44 XVAXOOAXOOOOOOOVVV
P43 XOAOAOAOOOAOAOOOO
P6 XVVOXVOOVOVOVVOV
P47 XVOAVOOOOOOOVOV
P49 XAOAOAOOOAOAOO
P33 XOVOOOOOOOVOO
P41 XOVOVOVOVVVO
P16 XOAOOOOOOOO
P36 XOOOOOOOOO
P25 XOVOOOVXX
P22 XOAOXOOO
P27 XOAOAAA
P19 XOVOOO
P2 XOVOO
P1 XOOO
P29 XAA
P31 XX
P32 X
DOI: https://doi.org/10.2478/otmcj-2024-0006 | Journal eISSN: 1847-6228 | Journal ISSN: 1847-5450
Language: English
Page range: 81 - 92
Submitted on: Sep 14, 2023
Accepted on: Apr 5, 2024
Published on: Jun 11, 2024
Published by: University of Zagreb
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2024 Ala’a Saleh Alshdiefat, published by University of Zagreb
This work is licensed under the Creative Commons Attribution 4.0 License.