A Deep Learning Approach to Locating Customers in a Sub-Saharan African Slum Settlement: The Perspective of Online Product Delivery and Online Commerce DOI
Abdul Karim Armah, Jinfa Li, Samson Hansen Sackey

et al.

Published: Jan. 1, 2023

Digital activities such as e-commerce and social commerce (online commerce) can empower slum communities by enhancing product service accessibility. However, effective customer localization delivery processes are critical to the success of these initiatives. Substandard housing units, overcrowded structures, inadequate infrastructures like poor or nonexistent mobile reception internet connection, inaccessible roads, narrow road networks characterize settlements. These unique features settlements lack traditional digital addressing systems make a significant challenge. The study examines deep learning (DL) models for indoor outdoor proposes DL Partial Least Square (PLS) technique explore address distinct challenges online in Sub-Saharan African (SSA) through localization. By analyzing spatial data, seeks develop robust adaptable mechanism optimize efficiency open up new prospects marginalized results observations from provide valuable implications businesses, policymakers, stakeholders aiming promote development SSA communities.

Language: Английский

Perceived Risk And Trust To Maximize Purchase Intention Through Planned Behavior Theory DOI Open Access

Nabil Maulana,

Endy Gunanto Marsasi

Jurnal Ekonomi, Journal Year: 2024, Volume and Issue: 29(3), P. 570 - 591

Published: Dec. 19, 2024

This study aims to determine the role of risk perception, perceived benefits, and trust in optimizing purchase intentions based on theory planned behaviour. The behaviour is used understand human behaviour, which includes attitudes, subjective norms, beliefs, object this research expedition services subject consumers island Java. uses a quantitative approach by collecting data from 216 service consumers. shows that perception have significant impact. also found influences intentions. Persuasion has no impact towards usage expeditions. vital variable, namely, directly related use expedition. These findings provide important insights for companies develop marketing strategies utilize power benefit build increase

Language: Английский

Citations

0
A Deep Learning Approach to Locating Customers in a Sub-Saharan African Slum Settlement: The Perspective of Online Product Delivery and Online Commerce DOI
Abdul Karim Armah, Jinfa Li, Samson Hansen Sackey

et al.

Published: Jan. 1, 2023

Digital activities such as e-commerce and social commerce (online commerce) can empower slum communities by enhancing product service accessibility. However, effective customer localization delivery processes are critical to the success of these initiatives. Substandard housing units, overcrowded structures, inadequate infrastructures like poor or nonexistent mobile reception internet connection, inaccessible roads, narrow road networks characterize settlements. These unique features settlements lack traditional digital addressing systems make a significant challenge. The study examines deep learning (DL) models for indoor outdoor proposes DL Partial Least Square (PLS) technique explore address distinct challenges online in Sub-Saharan African (SSA) through localization. By analyzing spatial data, seeks develop robust adaptable mechanism optimize efficiency open up new prospects marginalized results observations from provide valuable implications businesses, policymakers, stakeholders aiming promote development SSA communities.

Language: Английский

Citations

0