In the increasingly competitive fashion retail industry, companies are constantly adopting
strategies focused on adjusting the products characteristics to closely satisfy customers' …

This paper explores the characteristics of mobile social media marketing adoption in the
context of digital natives via an extended Mobile Technology Acceptance Model …

In the past several single classifiers, homogeneous and heterogeneous ensembles have
been proposed to detect the customers who are most likely to churn. Despite the popularity …

Purpose This study investigates the effects of using social media for customer service on
firms' reputation building. In addition, this study explores the role of absorptive capacity, ISO …

The emotion varies and propagates with the spatial and temporal information of individuals
through social media, which uncovers several interaction mechanisms and features the …

The importance of young athletes in the field of professional cycling has sky-rocketed during
the past years. Nevertheless, the early talent identification of these riders largely remains a …

Objective. In this study, machine learning was utilized to classify and predict pulse wave of
hypertensive group and healthy group and assess the risk of hypertension by observing the …

The purpose of this study is to demonstrate the value of Facebook data in predicting first-
time donation behavior. More specifically, we provide evidence that Facebook data can be …

The objective of this paper is to evaluate multi-label classification techniques and
recommender systems for cross-sell purposes in the financial services sector. We carried out …

This study presents big data applications with quantitative theoretical models in financial
management and investigates possible incorporation of social media factors into the …