The impact of the COVID ‐19 pandemic on grocery shopper behaviour: Analysis of shopper behaviour change using store transaction data
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Consumer Behaviour"
DOI: 10.1002/cb.1999
Abstract: The systemic shock of coronavirus (COVID-19) and its impact on the global economy has been unprecedented with grocery shopper behaviour changing dramatically through various stages of the pandemic. COVID-19 has caused unusual market conditions, with… read more here.
Keywords: grocery shopper; transaction data; shopper behaviour; behaviour ... See more keywords
Ordinal-response GARCH models for transaction data: A forecasting exercise
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Forecasting"
DOI: 10.1016/j.ijforecast.2019.02.016
Abstract: We use numerous high-frequency transaction data sets to evaluate the forecasting performances of several dynamic ordinal-response time series models with generalized autoregressive conditional heteroscedasticity (GARCH). The specifications account for three components: leverage effects, in-mean effects… read more here.
Keywords: response; transaction data; response garch; garch models ... See more keywords
Using transaction data and product margins to optimise weekly flyers
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Production Research"
DOI: 10.1080/00207543.2020.1748905
Abstract: Customers increasingly expect companies to understand their wants and needs and to market to those desires. Unfortunately, such levels of personalisation can be difficult to accomplish for traditional brick-and-mortar retailers, particularly when the fixed cost… read more here.
Keywords: transaction; using transaction; product; weekly flyers ... See more keywords
Tracking the COVID-19 crisis with high-resolution transaction data
Sign Up to like & getrecommendations! Published in 2021 at "Royal Society Open Science"
DOI: 10.1098/rsos.210218
Abstract: Payments systems generate vast amounts of naturally occurring transaction data rarely used for constructing official statistics. We consider billions of transactions from card data from a large bank, Banco Bilbao Vizcaya Argentaria, as an alternative… read more here.
Keywords: transaction; covid crisis; tracking covid; transaction data ... See more keywords
Feature Engineering and Resampling Strategies for Fund Transfer Fraud With Limited Transaction Data and a Time-Inhomogeneous Modi Operandi
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3199425
Abstract: Detecting financial fraud to profile crimes and pinpoint system vulnerabilities is an essential issue in the financial industry. Because of interpretability requirements and the lack of mass transaction data due to privacy regulations, sophisticated handcrafted… read more here.
Keywords: fraud; feature; time inhomogeneous; detection ... See more keywords
Methods for quantifying effects of social unrest using credit card transaction data
Sign Up to like & getrecommendations! Published in 2018 at "EPJ Data Science"
DOI: 10.1140/epjds/s13688-018-0136-x
Abstract: Societal unrest and similar events are important for societies, but it is often difficult to quantify their effects on individuals, hindering a timely and effective policy-making in emergencies and in particular localized social shocks such… read more here.
Keywords: card transaction; transaction data; credit card;
Novel Exploratory Spatiotemporal Analysis to Identify Sociospatial Patterns at Small Areas Using Property Transaction Data in Dublin
Sign Up to like & getrecommendations! Published in 2021 at "Land"
DOI: 10.3390/land10060566
Abstract: The residential real estate market is very important because most people’s wealth is in this sector, and it is an indicator of the economy. Real estate market data in general and market transaction data, in… read more here.
Keywords: property; exploratory spatiotemporal; property transaction; transaction ... See more keywords