Annotated bibliography assignment

1.             Dawson, A. (2022). Data-driven Consumer Engagement, Virtual Immersive Shopping
Experiences, and Blockchain-based Digital Assets in the Retail Metaverse. Journal of Retailing and
Consumer Services, 75, 102845. https://doi.org/10.1016/j.jretconser.2022.102845

In his article "Data-driven Consumer Engagement, Virtual Immersive Shopping Experiences, and
Blockchain-based Digital Assets in the Retail Metaverse," Andrew Dawson explores the growing trend
of virtual immersive shopping experiences and how they can be enhanced by blockchain-based digital
assets. The article discusses the use of data-driven consumer engagement strategies to create
personalized shopping experiences that can drive customer loyalty and increase sales. Dawson argues
that blockchain-based digital assets, such as non-fungible tokens (NFTs), can add value to these
experiences by providing customers with unique and valuable digital goods that can be traded or
sold. The article concludes by highlighting the potential of the retail metaverse as a new frontier
for retailers to engage with customers and create immersive shopping experiences.

2.             Kim, S. W., & Ko, E. (2022). Retail spatial evolution: paving the way from
traditional to metaverse retailing. Journal of Retailing and Consumer Services, 67, 102876.
https://doi.org/10.1016/j.jretconser.2022.102876

The article argues that the metaverse offers new opportunities for retailers to engage with
customers and create unique shopping experiences that cannot be replicated in physical stores. The
authors discuss the use of augmented reality, virtual reality, and other immersive technologies to
create engaging and personalized shopping experiences in the metaverse. The article also highlights
the importance of understanding customer behavior and preferences in the metaverse, and the need
for retailers to adapt their strategies to the virtual environment. Overall, the article provides
insights into the potential of the metaverse as a new frontier for retail innovation and the
challenges and opportunities that come with this new spatial evolution.

3.       Popescu, G. H., Valaskova, K., & Horak, J. (2021). Augmented Reality Shopping Experiences,
Retail Business Analytics, and Machine Vision Algorithms in the Virtual Economy of the Metaverse.
Frontiers in Robotics and AI, 8, 706442. https://doi.org/10.3389/frobt.2021.706442

The article explores the potential of augmented reality (AR) shopping experiences, retail business
analytics, and machine vision algorithms in the virtual economy of the metaverse. The authors argue
that these technologies can provide retailers with valuable insights into customer behavior,
preferences, and needs, and can help them create more engaging and personalized shopping
experiences. The article also discusses the use of machine vision algorithms to improve product
recommendations and enable more efficient inventory management. The authors conclude by
highlighting the potential of the metaverse as a new frontier for retail innovation, and the
importance of embracing emerging technologies to stay competitive in the virtual economy.