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Cited by 31Construction Project Management and PerformanceSoftware Engineering Techniques and PracticesInformation Technology Governance and Strategy

The DOI matches its Crossref record.

Project planning and risk management as a success factor for IT projects in agricultural schools in Serbia

Vujović, Vuk, Denić, Nebojša, Stevanović, Vesna, Stevanović, Mališa, Stojanović, Jelena, Cao, Yan, Alhammadi, Yasir, Jermsittiparsert, Kittisak, Van Le, Hiep, Wakil, Karzan, Radojkovic, Ivan·2020·Technology in Society
DOI 10.1016/j.techsoc.2020.101371
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Crossref · 10.1016/j.techsoc.2020.101371

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  • Risk management is a key factor that ensures project success.

    “risk management is a key factor that ensures project success (Vujovic et al. 2020).”

    From Analysis of 105 IT Project Risks (2023) · cites this paper as Vujovic et al. 2020

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Research works printed but not linked: 22

  1. Siddique, 2016, A qualitative study of success criteria in Norwegian agile software projects from suppliers' perspective, International Journal of Information Systems and Project Management, 4, 63, 10.12821/ijispm040204 · DOI
  2. Kilibarda, 2016, Upravljanje softverskim projektima, Tehnika – Menadžment, 66, 145, 10.5937/tehnika1601145K · DOI
  3. Safa, 2020, Development of neuro-fuzzy and neuro-bee predictive models for prediction of the safety factor of eco-protection slopes, Phys. Stat. Mech. Appl., 124046, 10.1016/j.physa.2019.124046 · DOI
  4. Shariati, 2020, Identification of the most influencing parameters on the properties of corroded concrete beams using an Adaptive Neuro-Fuzzy Inference System (ANFIS), Steel Compos. Struct., 34, 155
  5. Mansouri, 2019, Analysis of influential factors for predicting the shear strength of a V-shaped angle shear connector in composite beams using an adaptive neuro-fuzzy technique, J. Intell. Manuf., 30, 1247, 10.1007/s10845-017-1306-6 · DOI
  6. Safa, 2016, Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam's shear strength, Steel Compos. Struct., 21, 679, 10.12989/scs.2016.21.3.679 · DOI
  7. Mohammadhassani, 2014, An evolutionary fuzzy modelling approach and comparison of different methods for shear strength prediction of high-strength concrete beams without stirrups, Smart Struct Syst Int J, 14, 785, 10.12989/sss.2014.14.5.785 · DOI
  8. Armaghani, 2020, Hybrid ANN-based techniques in predicting cohesion of sandy-soil combined with fiber, Geomechanics and Engineering, 20, 191
  9. Shariati, 2020, Prediction of concrete strength in presence of furnace slag and fly ash using Hybrid ANN-GA (Artificial Neural Network-Genetic Algorithm), Smart Struct. Syst., 25, 183
  10. Shariati, 2019, Application of a hybrid artificial neural network-particle swarm optimization (ANN-PSO) model in behavior prediction of channel shear connectors embedded in normal and high-strength concrete, Appl. Sci., 9, 5534, 10.3390/app9245534 · DOI
  11. Toghroli, 2014, Prediction of shear capacity of channel shear connectors using the ANFIS model, Steel Compos. Struct., 17, 623, 10.12989/scs.2014.17.5.623 · DOI
  12. Shariati, 2019, Application of extreme learning machine (ELM) and genetic programming (GP) to design steel-concrete composite floor systems at elevated temperatures, Steel Compos. Struct., 33, 319
  13. Trung, 2019, Moment-rotation prediction of precast beam-to-column connections using extreme learning machine, Struct. Eng. Mech., 70, 639
  14. Chahnasir, 2018, Application of support vector machine with firefly algorithm for investigation of the factors affecting the shear strength of angle shear connectors, Smart Struct. Syst., 22, 413
  15. Shariati, 2020, A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques, Eng. Comput., 1
  16. Denic, 2014, Risk management in information system projects, Tehnicki Vjesnik-Technical Gazette, 21
  17. Horwitch, 1990, From unitary to distributed objectives: the changing nature of major projects, Technol. Soc., 12, 173, 10.1016/0160-791X(90)90007-Y · DOI
  18. Durmuşoğlu, 2018, Assessment of techno-entrepreneurship projects by using analytical hierarchy process (AHP), Technol. Soc., 54, 41, 10.1016/j.techsoc.2018.02.001 · DOI
  19. Ahmed, 2007, Information technology diffusion in higher education, Technol. Soc., 29, 469, 10.1016/j.techsoc.2007.08.011 · DOI
  20. Denic, 2016, Key factors for successful implementation of ERP systems, The journal Tehnički Vjesnik/Technical Gazette, 23, 1335
  21. Griffy-Brown, 2016, How do you secure an environment without a perimeter? Using emerging technology processes to support information security efforts in an agile data center, Journal of Applied Business and Economics, 18, 90
  22. Miller, 2018, Developing a methodology for assessing cyber risk for business leaders, Journal of Applied Business and Economics, 20, 100

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Metadata

Authors
Vujović, V., Denić, N., Stevanović, V., Stevanović, M., Stojanović, J., Cao, Y., Alhammadi, Y., Jermsittiparsert, K., Van Le, H., Wakil, K., & Radojkovic, I.
Affiliations
  • University of Priština - Kosovska Mitrovica (XK)
  • Xi'an Technological University (CN)
  • Prince Sattam Bin Abdulaziz University (SA)
  • Ton Duc Thang University (VN)
  • University of Halabja (IQ)
Corresponding author
Jermsittiparsert, Kittisak
ORCID
Venue
Technology in Society
Publisher
Elsevier BV
Published
2020-11
Volume
63
Pages
101371
ISSN
0160-791X (ISSN-L)
DOI
10.1016/j.techsoc.2020.101371
OpenAlex
W3081904541
Cited by
31
References
0
Citations by year
2026: 1 · 2025: 4 · 2024: 4 · 2023: 6 · 2022: 6 · 2021: 8 · 2020: 2
FWCI
3.25
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Technology in Society (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • Deanship of Scientific Research, King Saud University
  • Prince Sattam bin Abdulaziz University (2019/01/11171)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Construction Project Management and Performance
  • Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
Keywords
IT project management, project planning, risk management, success factors, agricultural colleges, educational institutions, information and communication technologies, business process analysis, Serbia

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