Research trends in humanitarian logistics and sustainable development: A bibliometric analysis

Khan, Muhammad; Parvaiz, Gohar Saleem; Dedahanov, Alisher Tohirovich; Iqbal, Muhammad; Bae, Jung-Han

doi:10.1080/23311975.2022.2143071

Cited by 7 publications

(1 citation statement)

References 49 publications

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“…In a humanitarian context, logistics account for the majority of disaster-relief efforts. Logistics are an essential part of any disaster relief effort and are the deciding factor between successful and failed relief operations (Khan et al, 2022). Thus, it has become necessary to apply novel technologies, approaches and processes to offset the detrimental effects of security checkpoints on humanitarian logistics and improve their adaptability to natural or man-made disasters (European Commission, 2022).…”

Section: Introductionmentioning

confidence: 99%

Hybrid simulation-optimization approach for planning relief-aid distribution with a real-world case study

Rezeq,

Aouam,

Gailly

2024

JHLSCM

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Purpose Authorities have set up numerous security checkpoints during times of armed conflict to control the flow of commercial and humanitarian trucks into and out of areas of conflict. These security checkpoints have become highly utilized because of the complex security procedures and increased truck traffic, which significantly slow the delivery of relief aid. This paper aims to improve the process at security checkpoints by redesigning the current process to reduce processing time and relieve congestion at checkpoint entrance gates. Design/methodology/approach A decision-support tool (clearing function distribution model [CFDM]) is used to minimize the effects of security checkpoint congestion on the entire humanitarian supply network using a hybrid simulation-optimization approach. By using a business process simulation, the current and reengineered processes are both simulated, and the simulation output was used to estimate the clearing function (capacity as a function of the workload). For both the AS-IS and TO-BE models, key performance indicators such as distribution costs, backordering and process cycle time were used to compare the results of the CFDM tool. For this, the Kerem Abu Salem security checkpoint south of Gaza was used as a case study. Findings The comparison results demonstrate that the CFDM tool performs better when the output of the TO-BE clearing function is used. Originality/value The efforts will contribute to improving the planning of any humanitarian network experiencing congestion at security checkpoints by minimizing the impact of congestion on the delivery lead time of relief aid to the final destination.

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Section: Introductionmentioning

confidence: 99%

Hybrid simulation-optimization approach for planning relief-aid distribution with a real-world case study

Rezeq,

Aouam,

Gailly

2024

JHLSCM

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Humanitarian logistics optimization models: An investigation of decision-maker involvement and directions to promote implementation

Rodríguez-Espíndola

Ahmadi

Chavira

et al. 2023

Socio-Economic Planning Sciences

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Technology and Digital Literacy: Interrelationships and the Impact of Acceptance with Self-regulated Learning

Saregar,

Kirana,

Asyhari

et al. 2024

E3S Web of Conf.

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The educational technology continues to grow and change. Technology acceptance exists to understand how technology emerges and is adopted. Technology acceptance plays an important role in creating an innovative and effective learning environment in enhancing students’ learning experience. Technology acceptance must be supported by digital literacy skills to achieve successful use of technology in learning. The purpose of this study was to determine the relationship between technology acceptance and digital literacy in self-regulated learning of physics students. This type of research is quantitative survey research. The research data were obtained by distributing online questionnaires using Google Forms. The questionnaire used a Likert scale of five options. A total of 132 valid questionnaires were obtained and analyzed using PLS-SEM assisted by the Smart PLS application. Based on the path coefficient, it shows that technology acceptance has a significant positive effect with β = 0.248 or close to 1, tcritical value of 2.345, which is higher than the tobserved value of 1.989. Furthermore, the p-value is 0.019, which is lower than 0.05. The digital literacy path coefficient has a significant positive effect on self-regulated learning with a value of β = 0.673 or close to 1, tcritical value of 6.456, which is higher than the tobserved value of 1.989. Furthermore, the p-value is 0.000, which is lower than 0.05. The results of PLS-SEM analysis using Smart PLS show that technology acceptance and digital literacy have a significant positive effect on self-regulated learning. This research is expected to be a source of reference for further research in discussing issues related to self-regulated learning.

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Research trends in humanitarian logistics and sustainable development: A bibliometric analysis

Cited by 7 publications

References 49 publications

Hybrid simulation-optimization approach for planning relief-aid distribution with a real-world case study

Hybrid simulation-optimization approach for planning relief-aid distribution with a real-world case study

Humanitarian logistics optimization models: An investigation of decision-maker involvement and directions to promote implementation

Technology and Digital Literacy: Interrelationships and the Impact of Acceptance with Self-regulated Learning

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