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

Agyemang, Kesewa Opoku

doi:10.4236/ajibm.2022.124038

Cited by 5 publications

(2 citation statements)

References 48 publications

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“…Consumers experience less cognitive load as they do not have to figure out how to use the platform on their own (Lin et al ., 2019). This increases the confidence of consumers and reduces negative evaluations arising from the perceived complexity of the platform, which increases consumers’ behavioural intentions to use CL platforms (Agyemang, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Adoption of online crowdsourced logistics during the pandemic: a consumer-based approach

Koh

Peh

Wang

et al. 2023

IJLM

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PurposeThe COVID-19 pandemic has resulted in a brand-new phenomenon in customer consumption patterns. This resulted from heightened health awareness brought on by the COVID-19 epidemic. There is a dearth of appropriate health psychology perspectives in the existing study examining the effect of COVID-19 on consumers’ use of crowdsourced logistics (CL) platforms. In order to provide unique and thorough insights into how consumer health concerns can affect consumers’ subjective views and their decisions to use CL, this study combines the health belief model and the technology acceptance model.Design/methodology/approachFive hundred valid responses from an online survey that was created and administered in Singapore were analysed using structural equation modelling.FindingsThe findings show that all of the suggested constructs have a favourable influence on consumers’ intentions to use CL. The suggested model also demonstrates high explanatory power, with perceived usefulness serving as the primary driver, followed by perceived ease of use and self-efficacy.Originality/valueThe study advances previous academic research on CL and offers guidance to CL companies and lawmakers for promoting sustainable and secured last-mile delivery.

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Section: Literature Reviewmentioning

confidence: 99%

Adoption of online crowdsourced logistics during the pandemic: a consumer-based approach

Koh

Peh

Wang

et al. 2023

IJLM

View full text Add to dashboard Cite

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“…In contrast, FC, SI, hedonic motivation (HM) and price value (PV) negatively influence the behavioral intention of GCIS usage. Agyemang (2022) used the TAM2 model to explore the significance of crowd-sourcing logistics for African SMEs. The findings indicated that SI, experience, risks, self-efficacy, enjoyment and computer anxiety influence customers' PU of crowd-sourcing logistics platforms.…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

Factors influencing ICT implementation in motorcycle goods transport: the mediating role of business efficiency, infrastructure and motorcycle benefits

Armah,

2023

IJLM

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PurposeThrough the “Going Digital Initiative,” the Ghanaian government has introduced policies that aim at improving the information and communication technology (ICT) infrastructure of the country. These ICT policies have benefited numerous sectors of the Ghanaian economy. In logistics management, ICT has impacted drone medical delivery in the healthcare and maritime sectors. However, the importance of ICT is not realized in the motorcycle goods transport (MGT) industry, regardless of its popularity and high economic dependency. Second, all research on motorcycles is focused on diverse social concerns, and no study has attempted to analyze ICT implementation for MGT operations. This is a significant gap in logistics management. Hence, the study aimed to investigate the impact of ICT on Ghana's MGT industry empirically.Design/methodology/approachThe study adopts a two-phase data collection approach to collect the data. The authors use partial least square structural equation modeling to analyze the study's measurement and structural assessment model.FindingsICT positively impacts MGT and the drivers considered. The drivers positively influence MGT. The study further analyzes novel results on the relationships between the drivers and their mediating roles in enhancing MGT performance.Originality/valueThe study's originality is the extension of ICT adoption and usage in MGT. The lack of literature on the importance of ICT for MGT services makes this study the primary source of literature, and the relationships investigated are unique as the research area is unexplored.

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Efficient AI Reasoning Model Based on FPGA

Ran

2023

Procedia Computer Science

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

Cited by 5 publications

References 48 publications

Adoption of online crowdsourced logistics during the pandemic: a consumer-based approach

Adoption of online crowdsourced logistics during the pandemic: a consumer-based approach

Factors influencing ICT implementation in motorcycle goods transport: the mediating role of business efficiency, infrastructure and motorcycle benefits

Efficient AI Reasoning Model Based on FPGA

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