Information Systems Research

Mitigating Traffic Congestion: The Role of Intelligent Transportation Systems

Zhi (Aaron) Cheng, Min-Seok Pang, Paul A. Pavlou

While massive investments in transportation infrastructure, traffic congestion remains a major societal and public policy problem. Intelligent transportation systems (ITS) have been proposed as a potential solution to this challenge, but their ...

Despite massive investments in transportation infrastructure, traffic congestion remains a major societal and public policy problem. Intelligent transportation systems (ITS) have been proposed as a potential solution to this challenge, but their ...

How can we tailor assistance systems, such as recommender systems or decision support systems, to consumers’ individual shopping motives? How can companies unobtrusively identify shopping motives without explicit user input? We demonstrate that eye ...

Classifying information search behavior helps tailor recommender systems to individual customers’ shopping motives. But how can we identify these motives without requiring users to exert too much effort? Our research goal is to demonstrate that eye ...

Practice- and Policy-Oriented Abstract

This research investigates the economic value of the new and essential features of transportation network companies (TNCs) and the effectiveness of running a two-sided sales promotion to help introduce those new features. We estimate the marginal economic ...

The mobile app of a transportation network company (TNC) has reshaped the taxi business model by providing new features and allowing the TNC platform to run a diverse two-sided sales promotion to help introduce those new features. We investigate the ...

Lending-based real estate crowdfunding, which involves the use of real estate to secure loans, has emerged as a promising alternative with lower risk than peer-to-peer lending. This study provides insights into understanding how lenders’ investment ...

In lending-based real estate crowdfunding, borrowers are required to pledge their housing properties as collateral to secure the loans. This nascent practice differs from ordinary peer-to-peer lending in that lenders, to make sound investment decisions, ...

In this study, we utilize a kernel theory of knowledge adoption model and propose a novel text analytic framework to classify the usefulness of solutions in online knowledge communities. The study combines multiple disciplines (behavioral, empirical, ...

Online communities and social collaborative platforms have become an increasingly popular avenue for knowledge sharing and exchange. In these communities, users often engage in informal conversations responding to questions and answers, and over time, ...

With the rapid growth of cloud computing, firms face a dizzying array of choices and pricing structures for performing their computing tasks on the cloud. Unlike captive computing resources, cloud computing occurs as a pay-as-you-go contract, similar to ...

The goal to continually reduce operating costs while meeting computational needs is common to all modern organizations that use cloud computing. We study the problem of selecting computing resources with the goal of minimizing the total rental cost of ...

We study how online video platforms affect the sales volume and sales distribution of recorded music. To do so, we study two events that removed and then partially restored access to online music videos for consumers in Germany. Because of a legal dispute,...

We study the heterogeneous effects of online video platforms on the sales volume and sales distribution of recorded music. Identification comes from two natural experiments in Germany. In 2009, virtually all music videos were blocked from YouTube as a ...

Economic crises have a harmful effect on employment. However, whereas the resulting loss of jobs has been shown to have many negative consequences for the affected individuals, it may also push them into new activities, such as provision of service to ...

Economic crises often result in massive job loss. However, although reduced employment has been shown to have many negative consequences for the affected individuals, it may also push them into new activities, such as provision of service to their ...

Practice or Policy Abstract

Over the past 10 years, app-enabled ride-hailing services such as Uber and Lyft have permeated several geographies, fundamentally changing the transit landscape. Ride-hailing services deliver an on-demand, door-to-door transport service that has the ...

We examine the impact that ride-hailing services have had on the demand for different modes of public transit in the United States, with a particular focus on understanding heterogeneity in the effects. We assess these effects using a panel data set that ...

This research investigates how a shift from traditional loyalty cards to mobile-driven loyalty apps affects consumers’ reward redemption patterns, purchase behaviors, and store-level competition. The findings indicate that loyalty app adoption is ...

Avenues for the delivery of loyalty programs have rapidly shifted from plastic card schemes to mobile app–based initiatives, yet our understanding of the economic value presented by the latter (i.e., loyalty apps) has not kept pace with this development. ...

Because of its on-demand feature and flexible pay-as-you-go mechanism, cloud service dramatically reduces the up-front information technology expenses that may deter many clients from implementing on-premises software. The associated security risks and ...

Cloud computing services are transforming business and government at an ever-increasing rate. The associated security risk and low customization capability, however, create challenges for the adoption of cloud services. In this paper, we construct a game-...

As the mobile app market grows rapidly, with millions of apps and billions of users, search costs are increasing tremendously. Similar to the case of recommender systems, the challenge is how apps can be recommended to the right users and how consumers ...

The mobile applications (apps) market is one of the most successful software markets. As the platform grows rapidly, with millions of apps and billions of users, search costs are increasing tremendously. The challenge is how app developers can target the ...

Practice-Oriented Abstract

The use of the mobile device has become increasingly common in retail settings as a way to interact with retailers and as a channel for mobile commerce. Most retailers have chosen to extend the use of recommendation systems, commonly deployed on personal ...

The benefits of recommendation systems in online retail contexts have received much attention in prior work. Much of this work has been conducted in personal computer (PC)–based settings, although mobile devices are becoming increasingly central to the ...

Application Abstract

Given the popularity and prevalence of medical question-and-answer (Q&A) services, it is increasingly important to understand what constitutes a helpful answer in the medical domain. Whereas prior studies have focused primarily on the independent impacts ...

The insight for management: Most user-generated content platforms offer guidelines for content contributors to guide their writing in ways more conducive to being helpful, and these guidelines typically prescribe a simplistic formula centered around ...

Given the popularity and prevalence of medical question-and-answer (Q&A) services, it is increasingly important to understand what constitutes a helpful answer in the medical domain. Prior studies on user-generated content have examined the independent ...

Spotlight

Impressions at first glance matter in the digital world in that they could lead to a lasting impact on credibility perceptions, usage intention, and user satisfaction. This research investigates how different forms of visual aesthetics (i.e., classical ...

Impressions at first glance matter in the digital world in that they could lead to lasting impact on credibility perceptions, usage intention, and user satisfaction. Past studies have found that much of impression formation is affected by visual design-...

Consumers rely on review platforms when deciding where to stay, where to eat, what movies to watch, or even which doctor to use. This is great for consumers, but it has makes online review platforms a target for fraud. Review platforms have responded by ...

The growing interest in online product reviews for legitimate promotion has been accompanied by an increase in fraudulent reviews. However, beyond algorithms for initial fraud detection, little is known about what review portals should do with fraudulent ...

Overcrowding in emergency rooms (ERs) is a common yet nagging problem. It not only is costly for hospitals but also compromises care quality and patient experience. Our paper provides solid evidence that telemedicine can significantly improve ER care ...

Overcrowding in emergency rooms (ERs) is a common yet nagging problem. It not only is costly for hospitals but also compromises care quality and patient experience. Hence, finding effective ways to improve ER care delivery is of great importance. Using a ...

Disinformation on social media—commonly called “fake news”—has become a major concern around the world, and many fact-checking initiatives have been launched in response. However, if the presentation format of fact-checked results is not persuasive, fact-...

Disinformation on social media—commonly called “fake news”—has become a major concern around the world, and many fact-checking initiatives have been launched to mitigate the problem. The way fact-checking results are presented to social media users is ...

In this paper, we propose a two-step data-analytic approach to the promotion planning for mobile applications (apps). In the first step, we use historical sales data to estimate the app demand model and quantify the effect of price promotions on download ...

In this paper, we propose a two-step data analytic approach to the promotion planning for paid mobile applications (apps). In the first step, we use historical sales data to empirically estimate the app demand model and quantify the effect of price ...