Synthesis Rather Than Redemption: A Win-Win Rewards Program by Self-Assembling Fragments Into an Item in the Metaverse

Modern business activities often rely on rewards programs as a common means of incentivizing consumers. However, in certain cases, it can be a lose-lose situation for both consumers and businesses. For consumers, operators may alter or terminate rewards programs. For operators, rewards programs are difficult to be trusted by consumers and can come with many potential costs. The metaverse is perceived as a utopian-style virtual social system, where brands or individuals, called as operators, can establish stores/stops to conduct business activities. That is, there are also rewards programs in the metaverse, and if people simply replicate existing programs, it may lead to the situations mentioned above. To this end, we aim to propose a win-win rewards program in the metaverse to alleviate the situation. It suggests that consumers can obtain items in rewards programs through self-assembly rather than through the redeem controlled by the operator. Operators cannot make modifications to the rewards program once it is launched. Therefore, this rewards program is trustworthy, and operators also divest themselves from the redemption process in the rewards program, thereby reducing many additional costs. Meanwhile, we implement a specific prototype from a technical perspective to match the proposed rewards program in the metaverse. It specifically implements the decomposition of items prepared by the operator into fragments. Once consumers obtain a sufficient number of fragments, they can assemble them into a complete item without the involvement of the operator.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Services Computing
Published
2025-06-27
DOI
https://doi.org/10.1109/tsc.2025.3583105
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Synthesis Rather Than Redemption: A Win-Win Rewards Program by Self-Assembling Fragments Into an Item in the Metaverse

Ruoyu Zhao, Wenying Wen, Moting Su, Fengshu Li et al.
IEEE Transactions on Services Computing
Virtual Reality Applications and Impacts
article

Synthesis Rather Than Redemption: A Win-Win Rewards Program by Self-Assembling Fragments Into an Item in the Metaverse

Ruoyu Zhao, Wenying Wen, Moting Su, Fengshu Li, Yushu Zhang
article en

Abstract

Modern business activities often rely on rewards programs as a common means of incentivizing consumers. However, in certain cases, it can be a lose-lose situation for both consumers and businesses. For consumers, operators may alter or terminate rewards programs. For operators, rewards programs are difficult to be trusted by consumers and can come with many potential costs. The metaverse is perceived as a utopian-style virtual social system, where brands or individuals, called as operators, can establish stores/stops to conduct business activities. That is, there are also rewards programs in the metaverse, and if people simply replicate existing programs, it may lead to the situations mentioned above. To this end, we aim to propose a win-win rewards program in the metaverse to alleviate the situation. It suggests that consumers can obtain items in rewards programs through self-assembly rather than through the redeem controlled by the operator. Operators cannot make modifications to the rewards program once it is launched. Therefore, this rewards program is trustworthy, and operators also divest themselves from the redemption process in the rewards program, thereby reducing many additional costs. Meanwhile, we implement a specific prototype from a technical perspective to match the proposed rewards program in the metaverse. It specifically implements the decomposition of items prepared by the operator into fragments. Once consumers obtain a sufficient number of fragments, they can assemble them into a complete item without the involvement of the operator.

IEEE Transactions on Services ComputingVol. 18(4)
Anhui University (CN), Jiangxi University of Finance and Economics (CN)
Openalex Percentile: Top 86%
Virtual Reality Applications and Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.