Identifying the Sales Patterns of Online Stores with Time Series Clustering
Makkonen, M., & Frank, L. (2018). Identifying the Sales Patterns of Online Stores with Time Series Clustering. In A. Pucihar, M. Kljajić, P. Ravesteijn, J. Seitz, & R. Bons (Eds.), Bled 2018 : Proceedings of the 31st Bled eConference. Digital Transformation : Meeting the Challenges (pp. 491-506). University of Maribor Press. https://doi.org/10.18690/978-961-286-170-4.34
© University of Maribor Press, 2018.
Electronic commerce, especially in the business-to-consumer (B2C) context, has for years been a popular research topic in information systems (IS). However, the prior research on the topic has traditionally been dominated by the consumer focus instead of the business focus of online stores. For example, whereas various segmentations exist for online consumers based on their purchase behaviour, no such segmentations have been developed for online stores based on their sales patterns. In this study, our objective is to address this gap in prior research by identifying the most typical sales patterns of online stores operating in the B2C context. By using self-organising maps (SOM) to analyse the monthly sales time series collected from 399 online stores between January 2016 and December 2017, we are able to identify four approximately equally sized segments, each with its characteristic sales pattern. More specifically, two of the segments are characterised by a clear upward or downward trend in the sales, whereas the other two are characterised by strong seasonal sales variation. We also investigate the differences between the segments in terms of several key business and technical parameters of the stores as well as discuss more broadly the applicability of SOM to IS. ...
PublisherUniversity of Maribor Press
Parent publication ISBN978-961-286-170-4
Is part of publicationBled 2018 : Proceedings of the 31st Bled eConference. Digital Transformation : Meeting the Challenges
Publication in research information system
MetadataShow full item record
Showing items with similar title or keywords.
Makkonen, Markus; Frank, Lauri (MCIS, 2018)Electronic commerce, especially in the business-to-consumer (B2C) context, has for years been a popular research topic in information systems (IS). However, the prior research on the topic has traditionally been dominated ...
Juutilainen, Jesse (2019)Trusting an online store is required for a consumer to make a purchase decision. This means they give an online vendor their information and money in exchange for an expectation of service or a product they may not get in ...
Ojanaho, Karoliina (2020)Verkkokaupan suosio on kasvanut kiihtyvästi useamman vuoden ajan. Kosmetiikan verkkokauppaa on tutkittu suppeasti aiemmissa tutkimuksissa, kuten myös sitä, miten asiakkaat saadaan ostamaan kosmetiikkaa verkkokaupan kautta. ...
Cabrera-Sánchez, Juan-Pedro; Villarejo-Ramos, Ángel F.; Liébana-Cabanillas, Francisco; Shaikh, Aijaz A. (Elsevier, 2021)Artificial intelligence (AI) is a future-defining technology, and AI applications are becoming mainstream in the developed world. Many consumers are adopting and using AI-based apps, devices, and services in their everyday ...
Hannuksela, Emma-Stiina (2019)Kilpailu verkkokauppojen välillä kiristyy verkkokaupankäynnin kasvaessa. Käyttäjäkokemus on yksi verkkokaupan menestymiseen vaikuttavista tekijöistä ja sen nähdään vaikuttavan asiakkaan ostokäyttäytymiseen. Käyttäjäkokemuksen ...