The sales effect of product reviews has been a contentious issue with competing perspectives about when product reviews serve as a benefit, a burden, or a trifle. Unlike previous research that separately investigates the impact of each eWOM system, our study empirically examines the interaction...

Drawing on emotional contagion theory and language-mediated association theory, this study develops a research model to examine how textual and facial emotions afect charitable crowdfunding performance. We use computer-aided techniques to extract and measure specifc textual and facial emotions...

Based on the international community’s analysis of the present CO₂ emissions situation, a Log Mean Divisia Index (LMDI) decomposition model is proposed in this paper, aiming to reflect the decomposition of carbon productivity. The model is designed by analyzing the factors that affect carbon...

The successful integration of data from autonomous and heterogeneous systems calls for the resolution of semantic conflicts that may be present. Such conflicts are often reffected by discrepancies in attribute values of the same data object. In this paper, we describe a recently developed...

The integration of data from autonomous and heterogeneous sources calls for the prior identification and resolution of semantic conflicts that may be present. Unfortunately, this requires the system integrator to sift through the data from disparate systems in a painstaking manner. In this...

Online shopping websites typically classify customers into different membership tiers in their customer relationship management systems. This study investigates the effects of membership tiers on user content generation behavior in the context of an electronic commerce marketplace that has a...

Collaborative crowdsourcing communities help firms obtain ideas generated by the public at a lower cost compared to those generated in-house. However, the growth of these communities has led to a large influx of ideas of mixed quality, which has made it difficult for firm experts to select and...

This paper studies the information content of a subtle writing style, the expression of confidence. We use unsupervised machine learning to generate new lexicons for three aspects of a writer's level of confidence in expressing opinions: certainty, intensity of expression, and emotional...