A Bayesian Inference Model for Sustainable Crowd Source Logistics for Small and Medium Scale Enterprises (SME) in Africa

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ISSN Print: 2164-5167
ISSN Online: 2164-5175
www.scirp.org/journal/ajibm
E-mail: ajibm@scirp.org

"A Bayesian Inference Model for Sustainable Crowd Source Logistics for Small and Medium Scale Enterprises (SME) in Africa"
written by Kesewa Opoku Agyemang,
published by American Journal of Industrial and Business Management, Vol.12 No.4, 2022

has been cited by the following article(s):

[1]	The Design of University Coordination Utility Management and Online Repair Platform Based on Multivariate Statistical Analysis with Random Matrix
	Mathematical Problems in Engineering, 2022

[1]	Adoption of online crowdsourced logistics during the pandemic: a consumer-based approach The International Journal of Logistics Management, 2024 DOI:10.1108/IJLM-05-2022-0213

[2]	Efficient AI Reasoning Model Based on FPGA Procedia Computer Science, 2023 DOI:10.1016/j.procs.2023.11.140

[3]	Adoption of online crowdsourced logistics during the pandemic: a consumer-based approach The International Journal of Logistics Management, 2023 DOI:10.1108/IJLM-05-2022-0213

[4]	Factors influencing ICT implementation in motorcycle goods transport: the mediating role of business efficiency, infrastructure and motorcycle benefits The International Journal of Logistics Management, 2023 DOI:10.1108/IJLM-02-2022-0067

[5]	The Design of University Coordination Utility Management and Online Repair Platform Based on Multivariate Statistical Analysis with Random Matrix Mathematical Problems in Engineering, 2022 DOI:10.1155/2022/5477390

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