ArticleHeliyon2023
A reverse mechanism of advance selling driven by information asymmetry and competition.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- Drivers and Obstacles of Consumers' Continuous Participation Intention in Online Pre-Sales: Social Exchange Theory Perspective.Behavioral sciences (Basel, Switzerland) · 2024Article
- Selection of presale models for innovative products considering channel preferences and valuation differences.PloS one · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Enlightened by popular online business practices emerging in recent years, we aim to investigate a problem involving a flipped procedure in contrast with traditional advance selling, which is referred to as "reverse advance selling" (RAS) in this paper. We consider competition and information asymmetry in the market and discuss how they affect the decisions in reverse advance selling. We propose two models to evaluate the benefits of RAS and to characterize the conditions that optimize the pricing and ordering policies for retailers under competition. Furthermore, we examine the impact of factors such as market share, online review, and waiting time and provide insights for retailers to make decisions. The results demonstrate the advantage of adopting RAS when retailers or customers face uncertainty and it is beneficial to update review information. This paper also finds that market share positively affects the profit as well as the ordering quantities of the retailer, while online reviews have opposite impacts on its discount and ordering decisions. The results can guide retailers to make flexible ordering plans that better cater to market demand.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.