Online reviews and product recommendations at online stores have successfully enabled customers to readily evaluate alternative products prior to any purchases. In this context, firms generate recommendations to refer customers to a wider variety of products. They also display customer-generated...

One fundamental economic challenge in social gaming is how to monetize players. We address this problem from the lens of social influence. Specifically, we examine how players' paying behaviors in a social game are associated with their pure friends and Simmelian-tie friends. Analyzing a...

The bursts and multiplicity of Internet advertising have made multi-channel attribution an immediate challenge for marketing practitioners. Existing attribution models predominantly focus on analyzing consumers' converting path with respect to one focal firm while largely overlooking the impact...

In this paper we investigate how consumers derive value from having the option to use physical stores for their transactions focusing on the DVD rental market. We use a large individual and transaction level panel dataset including information from consumers who subscribed to an online-offline...

Financial regulators often focus on containing risks in financial services, while paying inadequate attention to regulation’s adverse effects on the underprivileged. This study examines how the upward mobility of borrowers was affected by China’s suppressive regulation of P2P lending in...

Telehealth helps transform traditional healthcare delivery processes to improve access to care. It has witnessed a surge in popularity since the advent of the COVID-19 pandemic, as both patients and providers have adopted telehealth services for various types of outpatient services. However,...

Existing popular Blockchain consensus mechanisms, such as Proof-of-Work (PoW), are designed to record existing transactions. However, they play no role in the transaction generation process. Many blockchain applications require high computation costs to generate and record transactions (e.g., in...

Managers routinely seek to understand firm performance relative to the competitors. Recently competitive intelligence (CI) has emerged as an important area within business intelligence (BI) where the emphasis is on understanding and measuring a firm's external competitive environment. A...

We develop a machine learning method to mitigate investor irrationality in copy trading. Copy trading allows layman investors (followers) to evaluate and copy expert traders’ transactions. The key challenge faced by followers is choosing which traders to follow. We observe a prevalence of...