TY - GEN
T1 - Study of Customer Sentiment Towards Smart Lockers
AU - Malyack, Colette
AU - Sylla, Cheichna
AU - Egbelu, Pius
N1 - Publisher Copyright:
© 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
PY - 2022
Y1 - 2022
N2 - Understanding customer sentiment associated with delivery solutions, such as smart lockers, is an area of increasing interest for package delivery companies. Applications of this data could result in cost savings through vehicle route planning, cross docking, fleet size optimization, and increased placement of smart locker technology for stop reduction. However, there has been little effort applied to gathering information related to public sentiment applications to last mile package delivery. Therefore, through a survey instrument we gather sentiment data related to smart lockers for review and analysis. Sentiment analysis by region (suburban, urban, and rural) is accomplished through a survey instrument with the goal of understanding the difference in sentiment by region and the effects of COVID-19 on customer sentiment towards the use of smart lockers. Some significant findings were that suburban residents were willing to travel further to pick-up a package from a smart locker (α = 0.01) and previous experience was correlated with increased sentiment (α = 0.05).
AB - Understanding customer sentiment associated with delivery solutions, such as smart lockers, is an area of increasing interest for package delivery companies. Applications of this data could result in cost savings through vehicle route planning, cross docking, fleet size optimization, and increased placement of smart locker technology for stop reduction. However, there has been little effort applied to gathering information related to public sentiment applications to last mile package delivery. Therefore, through a survey instrument we gather sentiment data related to smart lockers for review and analysis. Sentiment analysis by region (suburban, urban, and rural) is accomplished through a survey instrument with the goal of understanding the difference in sentiment by region and the effects of COVID-19 on customer sentiment towards the use of smart lockers. Some significant findings were that suburban residents were willing to travel further to pick-up a package from a smart locker (α = 0.01) and previous experience was correlated with increased sentiment (α = 0.05).
KW - Omnichannel delivery network
KW - Smart locker
KW - Statistical analysis
KW - Survey instrument
UR - http://www.scopus.com/inward/record.url?scp=85126918689&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85126918689&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-93314-2_17
DO - 10.1007/978-3-030-93314-2_17
M3 - Conference contribution
AN - SCOPUS:85126918689
SN - 9783030933135
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 266
EP - 277
BT - Pan-African Artificial Intelligence and Smart Systems - 1st International Conference, PAAISS 2021,Proceedings
A2 - Ngatched, Telex Magloire
A2 - Woungang, Isaac
PB - Springer Science and Business Media Deutschland GmbH
T2 - 1st International Conference on Pan-African Intelligence and Smart Systems, PAAISS 2021
Y2 - 6 September 2021 through 8 September 2021
ER -