Information Systems Research

Software components such as application programming interfaces (APIs) provided by external developers are vital to online digital platforms. Although APIs generally increase the variety of products according to anecdote, the precise relationship between ...

Software components, such as application programming interfaces (APIs), provided by both the platform owner and external developers in a platform ecosystem are vital to online digital platforms. These APIs are associated with functionality provided by the ...

Widespread abuse of internet users' privacy online has prompted user advocacy groups to implore governments to intervene and protect consumer rights. To study such interventions' effects, we examine data-protection policies that policy makers and ...

Widespread abuse of internet users’ privacy online has prompted user advocacy groups to implore governments to intervene and protect consumer rights. To study such interventions’ effects, we examine data-protection policies that policy makers and ...

Link recommendation, such as “People You May Know” on LinkedIn, recommends links to connect unlinked online social network users. Existing link recommendation methods tend to recommend similar friends to a user but overlook the fact that different users ...

Link recommendation, which recommends links to connect unlinked online social network users, is a fundamental social network analytics problem with ample business implications. Existing link recommendation methods tend to recommend similar friends to a ...

Policy-oriented Abstract

Data privacy is one of the most pressing issues today. The world is thirsty for novel, effective, and efficient policies to strike an appropriate balance between protecting individuals’ privacy and creating economic value from ...

The confluence of digital transactions, growing cybersecurity threats, and the internet of the future (e.g., web 3.0 and the metaverse) have made information privacy increasingly important to consumers and companies that rely on consumers willingly ...

Generalized second-price auction is the preferred mechanism for sponsored-search advertisements. In this paper, we take a twofold approach using Q-learning-based simulations and human-subject experiments to show that the low-value advertisers (who do not ...

We investigate the role of frictions in determining the efficiency and bidding behavior in a generalized second-price auction—the most preferred mechanism for sponsored-search advertisements. In particular, we take a twofold approach of Q-learning–based ...

Facing hundreds of similar alternatives in any technology adoption decision, users commonly take a shortcut in the decision making: following others in the herd! Although herding is found to be an influential force for technology adoption, this research ...

Faced with uncertainty when choosing among a wide range of similar competing technologies, users often take a herding in technology adoption (HTA) strategy to make heuristic adoption decisions. The HTA strategy brings users cost and time savings and casts ...

We examine how social influence interacts with other information sources to affect user behaviors in the context of medical crowdfunding. We conduct a large-scale randomized field experiment on a leading medical crowdfunding platform, showing friends’ ...

Choice overload is a common problem in many online settings, including healthcare. Online healthcare platforms tend to provide a large variety of behavior intervention information or programs to help individuals modify their lifestyles to improve ...

Online healthcare platforms provide users with various intervention programs to promote personal wellness. Given the many options available, it’s often difficult for individuals to decide in which intervention to participate, especially when they lack the ...

A Theory-Driven Deep Learning Method for Voice Chat–Based Customer Response Prediction

In this study, we target the task of voice chat–based customer response prediction in an emerging online interaction–based commercial mode, the invite-online-and-...

As artificial intelligence and digitalization technologies are flourishing real-time, online interaction–based commercial modes, exploiting customers’ purchase intention implied in online interaction processes may foster huge business opportunities. In ...

Recommendation systems and the decoy effect are two popular marketing techniques that have been used for facilitating decision making. Practitioners often use decoys to help drive demand for specific items, and prior research has shown the decoy effect to ...

In this paper, we explore the decoy effect in recommendation systems. Including a decoy item in a set of alternatives can influence the attractiveness of the other items by facilitating decision making. Prior research literature has indeed shown the decoy ...

With the development of new technology and business innovation, firms are actively adjusting their channel choices. Some retailers operate a hybrid and special omnichannel structure referred to as New Retail promising to tightly integrate online and ...

The Internet and online channels have immensely transformed retailing, which has traditionally relied on brick-and-mortar and physical channels. In recent years, a hybrid and special omnichannel structure referred to as New Retail promising to tightly ...

Although future regulations increasingly advocate that AI applications must be interpretable by users, we know little about how such explainability can affect human information processing. By conducting two experimental studies, we help to fill this gap. ...

Because of a growing number of initiatives and regulations, predictions of modern artificial intelligence (AI) systems increasingly come with explanations about why they behave the way they do. In this paper, we explore the impact of feature-based ...

Online matching platforms could lack common informational mechanisms, such as ratings and reviews, that serve to reduce information asymmetry in transactional platforms. The lack of verified information about participants further exacerbates issues of ...

Online matching platforms lack common informational mechanisms such as ratings and reviews that serve to reduce information asymmetry in transactional platforms. The lack of verified information about participants further exacerbates issues of information ...

This work addresses the problem of “user disambiguation”—estimating the likelihood of each member of a small group using a shared account or device. The specific focus is on television set-top box (STB) viewership data in multiperson households, in which ...

This work addresses the problem of “user disambiguation”—estimating the likelihood of each member of a small group using a shared account or device. The main focus is on television set-top box (STB) viewership data in multiperson households, in which it ...

Customer-generated images (CGIs) are images posted by customers on e-commerce platforms, and they usually appear in the review sections together with review text and ratings provided by customers having purchase experiences. Despite their prevalent ...

Customer-generated images (CGIs) on e-commerce platforms have been widely adopted as a promotional tool to persuade customers into purchases. Despite their prevalent applications, the effect of CGIs on customer postpurchase satisfaction has not been ...

Energy costs represent a significant share of the total cost of ownership in high-performance computing systems. Using a unique data set collected by massive sensor networks in a petascale national supercomputing center, we first present an explanatory ...

Energy costs represent a significant share of the total cost of ownership in high-performance computing (HPC) systems. Using a unique data set collected by massive sensor networks in a petascale national supercomputing center, we first present an ...

The assumption that generativity engenders unbounded growth has acquired an almost taken-for-granted position in information systems and management literature. Against this premise, we examine the relationship between generativity and user base growth in ...

This paper studies how software firms should determine their antipiracy efforts and product prices. There are two unique aspects of our model. First, antipiracy efforts have both a direct effect and a cross effect on software piracy. Second, we capture ...

Software piracy is a challenging issue faced by software firms and governments all over the world. To control software piracy, firms exert considerable effort in antipiracy measures. This paper uses game theoretical models to study how software firms ...

Most software on which we rely to help us organize our professional and personal lives is based on the reuse of other pieces of software that are created and maintained by groups of software developers that work independently from one another. Oftentimes, ...

Software is instrumental to the accelerated pace of digital innovation, and our ability to rapidly develop and deliver digital products and services is largely based on the reuse of existing software. In recent years, packaged software reuse has emerged ...

People often use heuristics as mental shortcuts when making financial decisions. Although the literature typically considers heuristics as behavior biases, we explore how different types of heuristics differ from one another. Through peer-to-peer lending ...

Heuristics are mental shortcuts that have ubiquitous influences on decision making. We investigate whether and how different heuristics have distinct effects in the context of peer-to-peer (P2P) lending. Drawing on theories on the roles that heuristics ...

Music, movies, e-books, news: all industries that have been impacted by free distribution of their products. For many individuals, this wide availability of free substitutes drives users’ willingness-to-pay down. In this environment, how can platforms ...

External reference prices (ERPs) are recognized to influence consumers’ payment for physical goods. We examine the role of ERPs in a digital goods context, emphasizing the importance of disentangling the effects of two components of ERPs: the magnitude ...

This article investigates how and why the traditional on-demand service (i.e., taxies) and ridesharing platforms (e.g., Uber) perform in contexts of urban uncertainty. We consider different types of unexpected urban anomalies and collect large-scale trip ...

Urban anomalies bring uncertainties to society, urban transportation systems, and businesses. Some urban anomalies, such as no-notice and/or unpredictable terrorist attacks or other urban strikes, if not handled in timely ways may result in loss of life ...

One of the critical success factors in information technology outsourcing projects is how partners learn through interactions with each other. This learning facilitates the complex problem-solving processes and enables partners to take different ...

The success of information technology outsourcing projects largely depends on the extent to which partners are willing to learn through interactions with each other. This study investigates the antecedents and consequences of relational learning between ...