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Towards closing the attitude-intention-behavior gap in green consumption: A narrative review of the literature and an overview of future research directions
Research on sustainable consumption has gained much popularity in the past few years,
and the of the green gap phenomenon has had its share of studies. This phenomenon is …
and the of the green gap phenomenon has had its share of studies. This phenomenon is …
Time for sustainable marketing to build a green conscience in consumers: Evidence from a hybrid review
Society has become increasingly socially and environmentally conscious owing to global
environmental challenges, and COVID-19 has become an eye-opener. Although people …
environmental challenges, and COVID-19 has become an eye-opener. Although people …
Modeling item-specific temporal dynamics of repeat consumption for recommender systems
Repeat consumption is a common scenario in daily life, such as repurchasing items and
revisiting websites, and is a critical factor to be taken into consideration for recommender …
revisiting websites, and is a critical factor to be taken into consideration for recommender …
Fake news as we feel it: perception and conceptualization of the term “fake news” in the media
In this article, we quantitatively analyze how the term “fake news” is being shaped in news
media in recent years. We study the perception and the conceptualization of this term in the …
media in recent years. We study the perception and the conceptualization of this term in the …
Attentive neural point processes for event forecasting
Y Gu - Proceedings of the AAAI Conference on Artificial …, 2021 - ojs.aaai.org
Event sequence, where each event is associated with a marker and a timestamp, is
increasingly ubiquitous in various applications. Accordingly, event forecasting emerges to …
increasingly ubiquitous in various applications. Accordingly, event forecasting emerges to …
ChOracle: A unified statistical framework for churn prediction
User churn is an important issue in online services that threatens the health and profitability
of services. Most of the previous works on churn prediction convert the problem into a binary …
of services. Most of the previous works on churn prediction convert the problem into a binary …
Extra Coupons and Unexpected Loss: The Effect of Unstackable Coupons on Consumer Purchases and Satisfaction
C Gu, S Jia, L Li, J Chen, J Lin… - Psychology & …, 2025 - Wiley Online Library
Issuing coupons to promote products and services is used by businesses to stimulate
consumption. However, consumers often encounter unstackable coupons, which refers to …
consumption. However, consumers often encounter unstackable coupons, which refers to …
TRGAN: A Time-Dependent Generative Adversarial Network for Synthetic Transactional Data Generation
Synthetic transactional data generation methods are in high demand nowadays as they
enable organizations to extract knowledge from data, develop robust data-driven models …
enable organizations to extract knowledge from data, develop robust data-driven models …
A recurrent neural network survival model: Predicting web user return time
The size of a website's active user base directly affects its value. Thus, it is important to
monitor and influence a user's likelihood to return to a site. Essential to this is predicting …
monitor and influence a user's likelihood to return to a site. Essential to this is predicting …
From anticipation to action: Data reveal mobile shop** patterns during a yearly mega sale event in China
M Guan, M Cha, Y Wang, Y Li… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The online retail market shows a sharp increase in traffic during holiday sales. The ability to
distinguish customers who will likely purchase is critical for provisioning traffic and for …
distinguish customers who will likely purchase is critical for provisioning traffic and for …