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Title:
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UNDERSTANDING SMART LOCKER USER BEHAVIOR
THROUGH TWITTER |
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Author(s):
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Colette Malyack and Pius Egbelu |
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ISBN:
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978-989-8704-30-6 |
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Editors:
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Piet Kommers and Mário Macedo |
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Year:
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2021 |
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Edition:
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Single |
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Keywords:
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Smart Locker, Microblogging Sites (MS), Statistical Analysis, Time Series Decomposition, Logistic Regression |
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Type:
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Full |
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First Page:
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110 |
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Last Page:
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117 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Understanding smart locker sentiment and use is an area of increasing interest for package delivery organizations.
Applications of this data could result in cost savings through route optimization and increased placement of smart locker
technology. However, there has been little effort applied to gathering information related to public sentiment on this
topic. Therefore, we gather and analyze Twitter data related to smart lockers to determine if there is change in sentiment
over time and if socialization is greater in certain regions or communities. This analysis is performed through multiple
statistical analyses, linear regression, time series decomposition, and logistic regression. Some significant findings
indicate that socialization of tweets related to smart lockers increased over time and socialization is greatest in the more
densely population continent of Asia. Future studies are encouraged to continue analysis of data related to smart lockers
based on population density, as this could provide marketing and delivery optimization improvements to decrease cost
without decreasing customer sentiment or service. |
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