The Effect of Humanitarian Logistics Practices on Performance: An Evidence from People in Need at West Guji and Guji Zone Offices, Ethiopia

Gezew Megersa Alemu; Mesfin Legese

doi:doi:10.11648/j.im.20260101.17

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The Effect of Humanitarian Logistics Practices on Performance: An Evidence from People in Need at West Guji and Guji Zone Offices, Ethiopia

Gezew Megersa Alemu

, Mesfin Legese^*

Published in Innovation Management (Volume 1, Issue 1)

Received: 14 January 2026 Accepted: 29 January 2026 Published: 20 February 2026

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Abstract

The purpose of this study is to examine the effect of humanitarian logistics practice on performance, in disaster management. As far as the researcher’s information is concerned there is limited researches in the field of humanitarian logistics. The study aimed to bridge gap in literature and knowledge of humanitarian logistics management practice. The study employed an explanatory research design and applies quantitative research design. Data for the study was gathered from both primary and secondary data source. The study adopted probability sampling specifically simple random sampling. Additionally the study applied census sampling technique. Target population of the study was composed of employee of the organization and beneficiary from the organization. Sample size comprise 282 respondents. Data for the study were collected using semi structured questionnaire aided by five point likert scale. Data analysis was primarily based on primary data. Data was analyzed using multiple linear regression in SPSS analysis. The independent variables explained (70.3%) of variations in the dependent variable as shown by the R-square (0.703). The study found humanitarian logistics practice determine the improvement of the organization performance.

Published in	Innovation Management (Volume 1, Issue 1)
DOI	10.11648/j.im.20260101.17
Page(s)	55-67
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2026. Published by Science Publishing Group

Keywords

Disaster, Disaster Management, Relief Chain, Emergency Management

References

[1]	Abazari, S. R., Aghsami, A., & Rabbani, M. (2021). Prepositioning and distributing relief items in humanitarian logistics with uncertain parameters. Socio-Economic Planning Sciences, 74. https://doi.org/10.1016/j.seps.2020.100933
[2]	Anjomshoae, A., Banomyong, R., Hossein Azadnia, A., Kunz, N., & Blome, C. (2025). Sustainable humanitarian supply chains: a systematic literature review and research propositions. Production Planning and Control, 36(3), 357-377. https://doi.org/10.1080/09537287.2023.2273451
[3]	Bessler, D. A., McCarl, B. A., Wu, X., & Alan Love, H. (2014). Quantitative Methods in Agricultural Economics. Encyclopedia of Agriculture and Food Systems, 1-10. https://doi.org/10.1016/B978-0-444-52512-3.00126-1
[4]	Benning, S. D., Patrick, C. J., Hicks, B. M., Blonigen, D. M., & Krueger, R. F. (2003). Factor Structure of the Psychopathic Personality Inventory: Validity and Implications for Clinical Assessment. Psychological Assessment, 15, 340-350. http://dx.doi.org/10.1037/1040-3590.15.3.340
[5]	Balcik, B., & Beamon, B. M. (2008). Facility location in humanitarian relief. International Journal of Logistics Research and Applications, 11(2), 101-121. https://doi.org/10.1080/13675560701561789
[6]	Baldasso, R. P., Ortiz, A. G., Rosa, G. C. da, Soares, G. H., Crosato, E. M., & Oliveira, R. N. de. (2019). The Role of the Humanitarian Logistics in the Kiss Nightclub Case. Journal of Service Science and Management, 12(07), 859-871. https://doi.org/10.4236/jssm.2019.127058
[7]	Borgatti, S. P., & Halgin, D. S. (2011). On network theory. Organization Science, 22(5), 1168-1181. https://doi.org/10.1287/orsc.1100.0641
[8]	Cao, C., Liu, Y., Tang, O., & Gao, X. (2021). A fuzzy bi-level optimization model for multi-period post-disaster relief distribution in sustainable humanitarian supply chains. International Journal of Production Economics, 235. https://doi.org/10.1016/j.ijpe.2021.108081
[9]	Carrabs, F., Cerulli, R., D’Ambrosio, C., Della Croce, F., & Gentili, M. (2021). An improved heuristic approach for the interval immune transportation problem. Omega (United Kingdom), 104. https://doi.org/10.1016/j.omega.2021.102492
[10]	Cropanzano, R., & Mitchell, M. S. (2005). Social Exchange Theory: An Interdisciplinary Review. Journal of Management, 31(6), 874-900. https://doi.org/10.1177/0149206305279602 (Original work published 2005).
[11]	Corbett, C. J., Pedraza-Martinez, A. J., & Van Wassenhove, L. N. (2022). Sustainable humanitarian operations: An integrated perspective. Production and Operations Management, 31(12), 4393-4406. https://doi.org/10.1111/POMS.13848
[12]	Corbetta, P. (2003) Social Research: Theory Methods and Techniques. SAGE Publications Ltd., London.
[13]	Daoud, J. I. (2018). Multicollinearity and Regression Analysis. Journal of Physics: Conference Series, 949(1). https://doi.org/10.1088/1742-6596/949/1/012009
[14]	Delforge, D., Wathelet, V., Below, R., Sofia, C. L., Tonnelier, M., van Loenhout, J. A. F., & Speybroeck, N. (2025). EM-DAT: the Emergency Events Database. International Journal of Disaster Risk Reduction, 124. https://doi.org/10.1016/j.ijdrr.2025.105509
[15]	Ghauri, P. N., & Grønhaug, K. (2005). Research Methods in Business Studies: A Practical Guide. London: Pearson Education.
[16]	Gonzalez-Feliu, J., Chong, M., Vargas-Florez, J., de Brito, I., Osorio-Ramirez, C., Piatyszek, E., & Altamirano, R. Q. (2020). The maturity of humanitarian logistics against recurrent crises. Social Sciences, 9(6). https://doi.org/10.3390/SOCSCI9060090
[17]	Hezam, I. M., & Nayeem, M. K. (2021). A systematic literature review on mathematical models of humanitarian logistics. In Symmetry (Vol. 13, Issue 1, pp. 1-38). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/sym13010011
[18]	Humanitarian Logistics and Service Delivery in Turkana County, Kenya. (2024). International Research Journal of Economics and Management Studies, 3(10). https://doi.org/10.56472/25835238/irjems-v3i10p120
[19]	Jamali, A., Ranjbar, A., Heydari, J., & Nayeri, S. (2022). A multi-objective stochastic programming model to configure a sustainable humanitarian logistics considering deprivation cost and patient severity. Annals of Operations Research, 319(1), 1265-1300. https://doi.org/10.1007/S10479-021-04014-2
[20]	Khalili-Fard, A., Hashemi, M., Bakhshi, A., Yazdani, M., Jolai, F., & Aghsami, A. (2024). Integrated relief pre-positioning and procurement planning considering non-governmental organizations support and perishable relief items in a humanitarian supply chain network. Omega (United Kingdom), 127. https://doi.org/10.1016/j.omega.2024.103111
[21]	Kim, J. J., Jang, H., & Roh, S. (2022). A systematic literature review on humanitarian logistics using network analysis and topic modeling. Asian Journal of Shipping and Logistics, 38(4), 263-278. https://doi.org/10.1016/j.ajsl.2022.10.003
[22]	Kumar, P., & Singh, R. K. (2022). Application of Industry 4.0 technologies for effective coordination in humanitarian supply chains: a strategic approach. Annals of Operations Research, 319(1), 379-411. https://doi.org/10.1007/S10479-020-03898-W
[23]	Leelapriyadharsini, S., & Sivakumar, V. (2021). LEVERAGING DISASTER MANAGEMENT: ROLE OF LOGISTICS IN PREPAREDNESS, RESPONSE & MITIGATION STAGES. In Dogo Rangsang Research Journal UGC Care Group I Journal (Vol. 11, Issue 02).
[24]	Liao, H., Holguín-Veras, J., & Calderón, O. (2023). Comparative analysis of the performance of humanitarian logistic structures using agent-based simulation. Socio-Economic Planning Sciences, 90, 101751. https://doi.org/10.1016/J.SEPS.2023.101751
[25]	Liu, T., Shao, J., & Wang, X. (2022). Funding allocations for disaster preparation considering catastrophe insurance. Socio-Economic Planning Sciences, 84. https://doi.org/10.1016/j.seps.2022.101413
[26]	Luo, X., Liu, Y., & Wu, J. (2026). Dynamic Location-Allocation-Routing scheduling for long-range maritime rescue operations using shipboard helicopters: A Q-learning-based hyper-heuristic approach. Computers and Industrial Engineering, 212. https://doi.org/10.1016/j.cie.2025.111722
[27]	Masudin, I., Safitri, N. T., Restuputri, D. P., Wardana, R. W., & Amallynda, I. (2020). The effect of humanitarian logistics service quality to customer loyalty using Kansei engineering: Evidence from Indonesian logistics service providers. Cogent Business and Management, 7(1). https://doi.org/10.1080/23311975.2020.1826718
[28]	Muijs, D. (2010) Doing Quantitative Research in Education with SPSS. 2nd Edition, SAGE Publications, London. https://doi.org/10.4135/9781849203241
[29]	Mebrate, Y., & Shumet, K. (2024). Assessing the impact of procurement practice on organizational performance. Cogent Business and Management, 11(1). https://doi.org/10.1080/23311975.2024.2315687
[30]	Pascucci, E. (2021). More logistics, less aid: Humanitarian-business partnerships and sustainability in the refugee camp. World Development, 142, 105424. https://doi.org/10.1016/J.WORLDDEV.2021.105424
[31]	Praja, A. K. A., Septiawan, R. A., Syah, T. Y. R., Sari, E. M., Dewi, M. P., Katijan, P. S., Cionita, T., & Lai, Y. L. (2023). Sustainable Development Strategy of Low-Cost Airlines: Empirical Evidence for Indonesia Based on Analysis of Passenger Loyalty. Sustainability (Switzerland), 15(3). https://doi.org/10.3390/su15032093
[32]	Saunders, M., Lewis, P. and Thornhill, A. (2009) Research Methods for Business Students. Pearson, New York.
[33]	Shao, J., Liang, C., Liu, Y., Xu, J., & Zhao, S. (2021). Relief demand forecasting based on intuitionistic fuzzy case-based reasoning. Socio-Economic Planning Sciences, 74. https://doi.org/10.1016/j.seps.2020.100932
[34]	Shao, J., Wang, X., Liang, C., & Holguín-Veras, J. (2020). Research progress on deprivation costs in humanitarian logistics. International Journal of Disaster Risk Reduction, 42, 101343. https://doi.org/10.1016/J.IJDRR.2019.101343
[35]	Stienen, V. F., Wagenaar, J. C., den Hertog, D., & Fleuren, H. A. (2021). Optimal depot locations for humanitarian logistics service providers using robust optimization. Omega, 104, 102494. https://doi.org/10.1016/J.OMEGA.2021.102494
[36]	Su, Y., Liu, B., & Li, D. (2018). What Causes the Differences in Management Practices between US and UK? An Application of Decomposition Analysis on Firms across Countries. Theoretical Economics Letters, 08(10), 1684-1700. https://doi.org/10.4236/tel.2018.810109
[37]	Tofighi, S., Torabi, S. A., & Mansouri, S. A. (2016). Humanitarian logistics network design under mixed uncertainty. European Journal of Operational Research, 250(1), 239-250. https://doi.org/10.1016/j.ejor.2015.08.059
[38]	Van Wassenhove, L. N. (2006). Humanitarian aid logistics: supply chain management in high gear. Journal of the Operational Research Society, 57(5), 475-489. https://doi.org/10.1057/palgrave.jors.2602125
[39]	Wang, W., Yang, K., Yang, L., & Gao, Z. (2023). Distributionally robust chance-constrained programming for multi-period emergency resource allocation and vehicle routing in disaster response operations. Omega (United Kingdom), 120. https://doi.org/10.1016/j.omega.2023.102915
[40]	Zhang, L., & Cui, N. (2021). Pre-positioning facility location and resource allocation in humanitarian relief operations considering deprivation costs. Sustainability (Switzerland), 13(8). https://doi.org/10.3390/SU13084141

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Alemu, G. M., Legese, M. (2026). The Effect of Humanitarian Logistics Practices on Performance: An Evidence from People in Need at West Guji and Guji Zone Offices, Ethiopia. Innovation Management, 1(1), 55-67. https://doi.org/10.11648/j.im.20260101.17

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ACS Style

Alemu, G. M.; Legese, M. The Effect of Humanitarian Logistics Practices on Performance: An Evidence from People in Need at West Guji and Guji Zone Offices, Ethiopia. Innov. Manag. 2026, 1(1), 55-67. doi: 10.11648/j.im.20260101.17

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Alemu GM, Legese M. The Effect of Humanitarian Logistics Practices on Performance: An Evidence from People in Need at West Guji and Guji Zone Offices, Ethiopia. Innov Manag. 2026;1(1):55-67. doi: 10.11648/j.im.20260101.17

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@article{10.11648/j.im.20260101.17,
  author = {Gezew Megersa Alemu and Mesfin Legese},
  title = {The Effect of Humanitarian Logistics Practices on Performance: An Evidence from People in Need at West Guji and Guji Zone Offices, Ethiopia},
  journal = {Innovation Management},
  volume = {1},
  number = {1},
  pages = {55-67},
  doi = {10.11648/j.im.20260101.17},
  url = {https://doi.org/10.11648/j.im.20260101.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.im.20260101.17},
  abstract = {The purpose of this study is to examine the effect of humanitarian logistics practice on performance, in disaster management. As far as the researcher’s information is concerned there is limited researches in the field of humanitarian logistics. The study aimed to bridge gap in literature and knowledge of humanitarian logistics management practice. The study employed an explanatory research design and applies quantitative research design. Data for the study was gathered from both primary and secondary data source. The study adopted probability sampling specifically simple random sampling. Additionally the study applied census sampling technique. Target population of the study was composed of employee of the organization and beneficiary from the organization. Sample size comprise 282 respondents. Data for the study were collected using semi structured questionnaire aided by five point likert scale. Data analysis was primarily based on primary data. Data was analyzed using multiple linear regression in SPSS analysis. The independent variables explained (70.3%) of variations in the dependent variable as shown by the R-square (0.703). The study found humanitarian logistics practice determine the improvement of the organization performance.},
 year = {2026}
}

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TY - JOUR
T1 - The Effect of Humanitarian Logistics Practices on Performance: An Evidence from People in Need at West Guji and Guji Zone Offices, Ethiopia
AU - Gezew Megersa Alemu
AU - Mesfin Legese
Y1 - 2026/02/20
PY - 2026
N1 - https://doi.org/10.11648/j.im.20260101.17
DO - 10.11648/j.im.20260101.17
T2 - Innovation Management
JF - Innovation Management
JO - Innovation Management
SP - 55
EP - 67
PB - Science Publishing Group
UR - https://doi.org/10.11648/j.im.20260101.17
AB - The purpose of this study is to examine the effect of humanitarian logistics practice on performance, in disaster management. As far as the researcher’s information is concerned there is limited researches in the field of humanitarian logistics. The study aimed to bridge gap in literature and knowledge of humanitarian logistics management practice. The study employed an explanatory research design and applies quantitative research design. Data for the study was gathered from both primary and secondary data source. The study adopted probability sampling specifically simple random sampling. Additionally the study applied census sampling technique. Target population of the study was composed of employee of the organization and beneficiary from the organization. Sample size comprise 282 respondents. Data for the study were collected using semi structured questionnaire aided by five point likert scale. Data analysis was primarily based on primary data. Data was analyzed using multiple linear regression in SPSS analysis. The independent variables explained (70.3%) of variations in the dependent variable as shown by the R-square (0.703). The study found humanitarian logistics practice determine the improvement of the organization performance.
VL - 1
IS - 1
ER -

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Gezew Megersa Alemu

Department of Logistics and Supply Chain, Management, Bule Hora University, Addis Ababa, Ethiopia

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http://orcid.org/0009-0007-5221-1917
Mesfin Legese

Department of Logistics and Supply Chain, Management, Bule Hora University, Addis Ababa, Ethiopia

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APA Style

Alemu, G. M., Legese, M. (2026). The Effect of Humanitarian Logistics Practices on Performance: An Evidence from People in Need at West Guji and Guji Zone Offices, Ethiopia. Innovation Management, 1(1), 55-67. https://doi.org/10.11648/j.im.20260101.17

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ACS Style

Alemu, G. M.; Legese, M. The Effect of Humanitarian Logistics Practices on Performance: An Evidence from People in Need at West Guji and Guji Zone Offices, Ethiopia. Innov. Manag. 2026, 1(1), 55-67. doi: 10.11648/j.im.20260101.17

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AMA Style

Alemu GM, Legese M. The Effect of Humanitarian Logistics Practices on Performance: An Evidence from People in Need at West Guji and Guji Zone Offices, Ethiopia. Innov Manag. 2026;1(1):55-67. doi: 10.11648/j.im.20260101.17

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@article{10.11648/j.im.20260101.17,
  author = {Gezew Megersa Alemu and Mesfin Legese},
  title = {The Effect of Humanitarian Logistics Practices on Performance: An Evidence from People in Need at West Guji and Guji Zone Offices, Ethiopia},
  journal = {Innovation Management},
  volume = {1},
  number = {1},
  pages = {55-67},
  doi = {10.11648/j.im.20260101.17},
  url = {https://doi.org/10.11648/j.im.20260101.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.im.20260101.17},
  abstract = {The purpose of this study is to examine the effect of humanitarian logistics practice on performance, in disaster management. As far as the researcher’s information is concerned there is limited researches in the field of humanitarian logistics. The study aimed to bridge gap in literature and knowledge of humanitarian logistics management practice. The study employed an explanatory research design and applies quantitative research design. Data for the study was gathered from both primary and secondary data source. The study adopted probability sampling specifically simple random sampling. Additionally the study applied census sampling technique. Target population of the study was composed of employee of the organization and beneficiary from the organization. Sample size comprise 282 respondents. Data for the study were collected using semi structured questionnaire aided by five point likert scale. Data analysis was primarily based on primary data. Data was analyzed using multiple linear regression in SPSS analysis. The independent variables explained (70.3%) of variations in the dependent variable as shown by the R-square (0.703). The study found humanitarian logistics practice determine the improvement of the organization performance.},
 year = {2026}
}

Copy | Download