Predicting actual spending in online group buying – An artificial neural network approach

作者：

Highlights：

• The paper aims to identify the factors that drive OGB consumers’ actual spending.

• The survey was administered to 500 respondents and 416 surveys were usable.

• We examined price consciousness, trust, PU, PEOU, gender and Internet time spent.

• The ANN model can predict consumers’ OGB actual spending with 87.14% accuracy.

• PEOU strongest tailed by PU, trust, price consciousness, gender and Internet time.

摘要

•The paper aims to identify the factors that drive OGB consumers’ actual spending.•The survey was administered to 500 respondents and 416 surveys were usable.•We examined price consciousness, trust, PU, PEOU, gender and Internet time spent.•The ANN model can predict consumers’ OGB actual spending with 87.14% accuracy.•PEOU strongest tailed by PU, trust, price consciousness, gender and Internet time.

论文关键词：Actual spending,Online group buying,Artificial neural network,Perceived ease of use,Perceived usefulness,Price consciousness,Trust

论文评审过程：Received 25 November 2018, Revised 9 September 2019, Accepted 3 October 2019, Available online 25 October 2019, Version of Record 15 November 2019.

论文官网地址：https://doi.org/10.1016/j.elerap.2019.100898