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

ISSN Print: 2164-5167
ISSN Online: 2164-5175
www.scirp.net/journal/ajibm
E-mail: [email protected]

Citations

"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):

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[4]	Adoption of online crowdsourced logistics during the pandemic: a consumer-based approach
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[7]	Advanced Management


[8]	Top 10 Business Model Ideas for
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[1]	Tracking the size of the estimation window in time-series data Data Technologies and Applications, 2024 DOI:10.1108/DTA-11-2023-0797

[2]	Time Evolution Analysis of Riders’ Preference Attention and Satisfaction on Real-Time Crowdsourcing Logistics Platform Sage Open, 2024 DOI:10.1177/21582440241271145

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

[6]	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