Published in Journal of Management Information Systems (Vol. 40, No. 3, 2023)

Published in Journal of Management Information Systems (Vol. 40, No. 3, 2023)

ABSTRACT Conversational Agents (CAs) are becoming part of our everyday lives. About 10 percent of users display aggressive behavior toward CAs, such as swearing at them when they produce errors. We conducted two online experiments to understand user aggression toward CAs better. In the first experiment, 175 participants used either a humanlike CA or a non-humanlike CA. Both CAs worked without errors

Organizations undergo significant change in the pursuit of digital transformation. Among those changes is replacing legacy information systems (LIS) with updated systems that integrate data, platfo...

ABSTRACT A contemporary business challenge for bundling theory is the distribution of digital content such as media, entertainment, software, and other information goods. Consumers can use a number of devices to interact with software, online services, music, video, news, and other forms of digital content. For instance, Netflix videos and Kindle ebooks, initially accessed only on television sets and

ABSTRACT We study an online environment where a firm provides strategic product recommendations to consumers. We develop an analytical framework to integrate recommendations into the consumer search process. The firm sells two imperfectly substitutable products with different profit margins and makes a personalized product recommendation to each consumer based on its uncertainty (lack of knowledge)

ABSTRACT Incentivized blockchain-based online social media (BOSM), where creators and curators of popular content are paid in cryptocurrency, have recently emerged. Traditional social media ecosystems have experienced significant bot involvement in their platforms, which has often had a negative impact on both users and platforms. BOSM can provide additional direct financial incentives as motivation

ABSTRACT Multi-sided platforms must make decisions on both pricing and engineering investment and must continually adjust them as the platform scales over its lifecycle. Engineering investments can be allocated to features that improve a platform’s standalone value, social features to take advantage of same-side network effects, or integration tools and boundary resources to facilitate third-party

ABSTRACT We examine how hospital cost efficiency can improve because of knowledge spillover effects, arising from the experiences of members of a healthcare system. We identify two types of functional technology networks—that we term repository-type and workflow-type networks—which are defined by the adoption patterns of different types of electronic health record (EHR) systems application functions

This paper analyzes the herding behavior that characterizes lenders’ lending decisions on a microloan platform and explains how rational herding behavior can resolve the information-asymmetry probl...

ABSTRACT Media capabilities influence consumers’ trust in online exchanges. However, in the sharing economy, where consumers interact with service providers through a platform, conventional models of trust must be revisited. Our research identifies how media synchronicity and anonymity influence the relative importance of institution-based trust in sharing economy exchanges. We collected data from

ABSTRACT Participants in open collaboration communities coproduce knowledge despite minimal explicit communication to coordinate the efforts. Studying how participants coordinate around the knowledge artifact and its impacts are critical for understanding the open knowledge production model. This study builds on the theory of stigmergy, wherein actions performed by a participant leave traces on a knowledge

Published in Journal of Management Information Systems (Vol. 40, No. 2, 2023)

ABSTRACT Organizations are beginning to deploy artificial intelligence (AI) agents as members of virtual teams to help manage information, coordinate team processes, and perform simple tasks. How will team members perceive these AI team members and will they be willing to work with them? We conducted a 2 x 2 x 2 lab experiment that manipulated the type of team member (human or AI), their performance

ABSTRACT Firms often assemble digital infrastructures using continuously evolving software applications sourced from a multitude of vendors. Using the theoretical lens of the threat-rigidity thesis, we raise the possibility that during adverse environmental conditions, software-vendor diversification can be a source of organizational rigidity that may dampen firm performance. Empirical analysis using

ABSTRACT With the wide use of information technologies including Big Data and artificial intelligence (AI), consumers’ personal actions (their search history, transaction records, click-through behaviors, etc.) can be tracked, recorded and analyzed by the service provider (e.g., Google) to provide personalized services. Under the current regime, consumers usually hand over their personal data for free

ABSTRACT Social gamification, which allows technology users to interact with each other in gamified tasks, has drawn increasing interest due to its effectiveness in facilitating users’ game engagement and task efforts. In social gamification, users can compete or cooperate with other users or teams to complete game tasks and achieve game goals. However, it remains unclear how various social interaction

ABSTRACT How do investors’ risk preferences influence the relationships between investors’ online channel use intensity and both their trading behaviors and performance? This study answers this important question even as investors are increasingly rely on the Internet for their trading activities. We leverage rare and unique micro-level historical dataset from more than 7,000 investor accounts over

ABSTRACT Online retailers are increasingly focused on maintaining a long-term relationship with customers, encouraging repeat visits rather than single-time purchases to increase customer lifetime value. To help retailers maximize the probabilities of customers’ revisiting and purchasing, we develop a two-stage model to better characterize and predict these two fundamental customer activities. In the

ABSTRACT User susceptibility to phishing messages on social media is a growing information security concern. Contingency factors that can influence this susceptibility and the theoretical mechanisms through which they operate need more scholarly attention. To bridge this gap, we present a temptation and restraint (TR) model (a specific manifestation of the dual–system theory) of social media phishing

ABSTRACT As video-sharing sites emerge as a critical part of the social media landscape, video viewership prediction becomes essential for content creators and businesses to optimize influence and marketing outreach with minimum budgets. Although deep learning champions viewership prediction, it lacks interpretability, which is required by regulators and is fundamental to the prioritization of the

ABSTRACT Informed by theoretical perspectives on working memory demands and devices’ potential to “prime” different types of cognitive processing, this paper investigates whether we tend to think “faster” and more intuitively, with less reflection when we use a smartphone instead of a personal computer (PC) or notebook. Three complementary experimental studies with a total of 823 participants reveal

ABSTRACT Popular online business directory (OBD) platforms, such as Yelp and TripAdvisor, depend on voluntarily user-submitted data about various businesses to assist consumers in finding appropriate options for transactions. Yet the crowdsourced nature of such data restricts the availability of attribute values for many businesses on the platform. Crowdsourced data often suffer serious completeness

ABSTRACT While venture capital firms are increasingly relying on recommendation models in investment decisions, existing startup recommendation models fail to consider the uniqueness of venture capital context, including two-sided matching between investing and investee firms and a lack of information disclosure requirements on startups. Following the design science research paradigm and guided by

ABSTRACT Crypto tokens, issued and managed via smart contracts, function as rewards in blockchain systems to encourage user participation. Distinct from monetary incentives, token incentives are uncertain in reward magnitude due to the large swings in token prices on crypto markets. By focusing on token price volatility, this study investigates how the reward uncertainty affects user contribution in

Published in Journal of Management Information Systems (Vol. 40, No. 1, 2023)

Published in Journal of Management Information Systems (Vol. 40, No. 1, 2023)

ABSTRACT Teams working on creative projects, such as design thinking, mostly face complex problems as well as challenging situations characterized by uniqueness and value conflicts. To cope with these characteristics, teams usually start doing something by drawing on their current store of experiences and professional knowledge, and then (re-)assess the outcomes produced, and adjust future actions

ABSTRACT This paper explores the formation of a learning community facilitated by custom collaborative learning software. Drawing on research in group cognition, knowledge building discourse, and learning analytics, we conducted a mixed-methods field study involving an asynchronous online discussion consisting of 259 messages posted by 50 participants. The cluster analysis results provide evidence

ABSTRACT Digital agents are considered a general-purpose technology. They spread quickly in private and organizational contexts, including education. Yet, research lacks a conceptual framing to describe interaction with such agents in a holistic manner. While focusing on the interaction with a pedagogical agent, that is, a digital agent capable of natural-language interaction with a learner, we propose

ABSTRACT Smart personal assistants (SPAs), such as Alexa for example, promise individualized user interactions owing to their varying interaction possibilities, knowledgeability, and human-like behaviors. To support the widespread adoption and use of SPAs, organizations such as Google or Amazon provide low code environments that support the development of SPAs (e.g., for Google Home or Amazon’s Alexa)

ABSTRACT This study theorizes the role of social signals in overcoming the motivation, coordination, and integration challenges in a hybrid peer production community, WikiTribune. WikiTribune was a collaborative journalism project that combined elements of firm-based production with that of commons-based peer production. Empirical data (article metrics, project documentation, and user communications)

ABSTRACT Social media platforms are increasingly used during disasters. In the United States, users often consider these platforms to be reliable news sources and they believe first responders will see what they publicly post. While having ways to request help during disasters might save lives, this information is difficult to find because non-relevant content on social media completely overshadows

ABSTRACT With the development of the sharing economy, online ride-sharing has become a primary form of commuting. Using secondary transaction data, this study investigates the associations between the heterogeneous features and mutual trust in sharing economy-driven online ride-sharing transactions. Based on an examination of 12,404 ride-sharing orders in Beijing, we propose a set of trust distribution

ABSTRACT Family-owned businesses differ in their strategic intent and behavior as they serve as a reservoir of wealth and social status for their family owners. Family-owned businesses demonstrate relatively conservative strategic decision making that aspires long-term wealth preservation and enhancement. For family owners, investments in information technology (IT) raise a predicament as they are

ABSTRACT Multiorganizational, multistakeholder (MO-MS) collaborations that may span organizational and national boundaries, present design challenges beyond those of smaller-scale collaborations. This study opens an exploratory research stream to discover and document design concerns for MO-MS collaboration systems beyond those of the single-task collaborations that have been the primary focus of collaboration

ABSTRACT Modern artificial intelligence (AI) is heavily reliant on deep learning (DL), an emerging class of algorithms that can automatically detect non-trivial patterns from petabytes of rapidly evolving “Big Data.” Although the information systems (IS) discipline has embraced DL, questions remain about DL’s interface with a domain and theory and DL contribution types. In this paper, we present a

ABSTRACT Driven by the need to provide continuous, timely, and efficient customer service, firms are constantly experimenting with emerging technological solutions. In recent times firms have shown an increased interest in designing and implementing artificial intelligence (AI)-based interactional technologies, such as conversational AI agents and chatbots, that obviate the need for having human service

ABSTRACT Not securing smart home devices has proven a threat to cyberspace. This has underscored the importance of using fear appeals to promote users’ information security behavior. We practiced context-specific theorization to enhance fear appeal theory and design. Particularly, we extended Protection Motivation Theory to include avoidant-focused motivation (i.e., users’ intent to avoid using their

Published in Journal of Management Information Systems (Vol. 39, No. 4, 2022)

ABSTRACT Digital platforms have replaced traditional markets in most industries and orchestrate socioeconomic aspects of our lives. We address the problem of negative direct side network effects that arise with an increased number of agents on one side of the platform. Negative effects, if unaddressed, lead to undesired long-term consequences for the platform by developing a positive vicious cycle

ABSTRACT Chief Information Officers (CIOs) influence their firm’s strategy implementation and facilitate improved firm performance by effectively managing information technology (IT) resources. However, it remains unclear how firms select CIOs and how the stock market perceives the selection. We posit that firms’ preferences regarding CIO background (business acumen versus technical expertise) depend

ABSTRACT We conducted three studies to examine how two types of user-generated feedback, appreciation and attention, affect users’ decisions to make voluntary knowledge contributions to electronic networks of practice (ENPs). Appreciation is reflected in positive ratings, votes, and helpfulness evaluations. Attention is reflected in the number of views of contributed content. The first study used clickstream

ABSTRACT Some people contribute ideas for prosocial reasons in crowdsourcing; others do so for selfish reasons. Extending the theory of motivated information processing, the research posits that prosocial and proself individuals respond differently to reward structures in crowd idea generation. Two online experiments measured participants’ prosocial versus proself orientation and manipulated whether

ABSTRACT Organizations increasingly depend on information technology (IT) applications (apps) for competitive positioning. Governance of IT apps presents a unique set of challenges, particularly as organizations turn to shared IT apps across business units (IT apps relatedness). Shared IT apps can foment IT misalignment within business units, while also creating opportunities for learning-related synergies

ABSTRACT Machine learning is widely used in information systems design. Yet, training algorithms on imbalanced datasets may severely affect performance on unseen data. For example, in some cases in healthcare, fintech, or cybersecurity contexts, certain subclasses are difficult to learn because they are underrepresented in training data. Our study offers a flexible and efficient solution based on a

ABSTRACT Recent developments in data-centric technologies (e.g., big data, Internet of Things, cloud computing) have given rise to the data-centric models, such as servitization. Servitization here refers to firms selling a product as a service instead of selling product ownership, which has been viewed as a green business model that can benefit the environment. Despite the potential environmental

ABSTRACT Doctors and paraprofessionals operate in stressful environments that jeopardize their well-being and quality of care. E-healthcare systems have been promoted by government initiatives (e.g., HITECH act) to support healthcare services. Recent evidence suggests, however, that these systems contribute to job strain. Drawing on findings from a qualitative study and proximity and homophily theories

Published in Journal of Management Information Systems (Vol. 39, No. 3, 2022)

ABSTRACT If managers assume a normal or near-normal distribution of Information Technology (IT) project cost overruns, as is common, and cost overruns can be shown to follow a power-law distribution, managers may be unwittingly exposing their organizations to extreme risk by severely underestimating the probability of large cost overruns. In this research, we collect and analyze a large sample comprised

ABSTRACT Project escalation involves the continued, persistent commitment to a failing project. Through a qualitative meta-analysis of 15 published cases of large information systems (IS) projects in escalation situations, we develop an institutional perspective on IS projects in escalation situations. This perspective describes how project persistence emerges from a plurality of legitimizing institutional

ABSTRACT Social media firestorms (SMF) are commonly seen as destructive forces of toxic comments hurled at a target for perceived wrongdoing. Yet some research suggests that SMF can provide beneficial outcomes for the target. In two studies, we qualitatively examine SMF comments (in terms of purpose and tone) and quantitatively examine users’ motivations for making different types of comments. Results

ABSTRACT Firms and investors often react to financial news on social media. However, how they react to news of different nature and whether their reactions influence the stock market is far from clear. Employing data on financial news, tweets posted by firms and investors, and daily stock prices, we find that firms are more responsive to news with positive sentiment and low uncertainty, whereas investors

ABSTRACT Research on recommendation agents (RAs) originally focused on interactive RAs, which rely on explicit methods, i.e., eliciting user-provided inputs to learn about consumers’ needs and preferences. Recently, due to the availability of large amounts of data about individuals, the focus shifted toward non-interactive RAs that use implicit methods rather than explicit ones to understand users’

ABSTRACT Artificial intelligence (AI) enables continuous monitoring of patients’ health, thus improving the quality of their health care. However, prior studies suggest that individuals resist such innovative technology. In contrast to prior studies that investigate individuals’ decisions for themselves, we focus on family members’ rejection of AI monitoring, as family members play a significant role

ABSTRACT Phishing is an increasing threat that causes billions in losses and damage to productivity, trade secrets, and reputations each year. This work explores how security gamification techniques can improve phishing reporting. We contextualized the cognitive evaluation theory (CET) as a kernel theory and constructed a prototype phishing reporting system. With three experiments in a simulated work

Published in Journal of Management Information Systems (Vol. 39, No. 3, 2022)

ABSTRACT Peer-to-peer (P2P) rental markets have been shown to adversely impact the traditional hospitality industry and housing affordability, fueling the public demand for regulation. While localities around the globe have implemented policies to address these issues, little is known about how rental suppliers respond to those regulations. This study aims to empirically analyze the impact of such

ABSTRACT As a general-purpose technology, artificial intelligence (AI) is expected to transform almost all industries and aspects of our society. Thus, it is important to understand the potential changes within the firms related to how AI applications change their labor force. Using a panel dataset with over 1,300 publicly-traded companies in China from 2007 to 2018, we examine the relationship between

ABSTRACT Bundling is considered to be an effective pricing strategy for zero-marginal-cost information goods. Yet, in many information-goods markets, the effectiveness of bundling remains hard to ascertain. This is because information goods exhibit other characteristics as well, which can potentially interfere with a manufacturer’s bundling decision. For instance, they are also prone to piracy, and