Employees’ nonwork use of information technology (IT), or cyberslacking, is of growing concern due to its erosion of job performance and other negative organizational consequences. Research on cyberslacking antecedents has drawn on diverse theoretical perspectives, resulting in the lack of a cohesive explanation of cyberslacking. Further, prior studies have generally overlooked IT-specific variables

We examine the impact of firm social media engagement on sales performance, answering “whether,” “what,” and “how” questions. The study uses a quasi-experimental design in a social e-commerce setting, for which propensity score matching and difference-in-differences methods quantify a mean 20.67% sales increase after firm social media adoption. We also find that firms that sell low-involvement products

Organizations replace their legacy systems for technical, economic, and operational reasons. Replacement is a risky proposition, as high levels of technical and social inertia make these systems hard to withdraw. Failure to fully replace systems results in complex system architectures involving manifold hidden dependencies that carry technical debt. To understand how a process for replacing a complex

Biases on online platforms pose a threat to social inclusion. We examine the influence of a novel source of bias in online philanthropic lending, namely that associated with religious differences. We first propose religion distance as a probabilistic measure of differences between pairs of individuals residing in different countries. We then incorporate this measure into a gravity model of trade to

Unstructured multimedia data (text and audio) provides unprecedented opportunities to derive actionable decision-making in the financial industry, in areas such as portfolio and risk management. However, due to formidable methodological challenges, the promise of business value from unstructured multimedia data has not materialized. In this study, we use a design science approach to develop DeepVoice

The growth of crowdfunding markets that include both expert and nonexpert investors will soon accelerate due to recent changes in Securities Exchange Commission (SEC) regulations. Prior work has suggested that nonexperts (1) may benefit from experts’ participation via mimicking their trades, but (2) will also face a cost, as experts crowding nonexperts out of the best opportunities will ensure that

We study how firms respond to online customer reviews in a competitive market where they jostle with one another for sales based on online ratings. The focus of this paper is on how firms can optimally manage their ratings through management response and how review ratings affect the sales and profits of competing firms. We develop a controlled diffusion process to model the coevolution of sales and

Online health communities (OHCs) play an important role in enabling patients to exchange information and obtain social support from each other. However, do OHC interactions always benefit patients? In this research, we investigate different mechanisms by which OHC content may affect patients’ emotions. Specifically, we notice users can read not only emotional support intended to help them but also

Existing studies have found that online search is a revealed measure for investor attention and a useful predictor of stock returns. We study the heterogeneity in retail investor attention by comparing search conducted on weekdays vs. weekends and investigate the price pressure channel and information processing channel for stock return predictability. According to the information processing channel

Data breaches can severely damage a firm’s reputation and its customers’ confidence. Firms must therefore continuously invest in security measures to prevent such breaches. However, the effectiveness of security investment has been questioned by both practitioners and academics. We illustrate the bidirectional dynamic relationship between information technology (IT) investment and data breaches moderated

Contributions by individual open source software (OSS) community members are the lifeblood of the OSS projects that power today’s digital economy and are important for the very survival of such communities. Individual contributions by OSS community members to others’ projects and their own determine whether OSS communities are resilient in the face of major shocks. Arguably, if crises such as the COVID-19

The COVID-19 pandemic has underscored the urgent need for healthcare entities to develop resilient strategies to cope with disruptions caused by the pandemic. This study focuses on the digital resilience of certified physicians who adopted an online healthcare community (OHC) to acquire patients and conduct telemedicine services during the pandemic. We synthesize the resilience literature and identify

During shocks, residents and businesses rely upon the government to ensure health, safety, and the continuity of services. The government’s ability to respond depends upon how well it utilizes its data resources and builds digital resilience. Yet governments often fail to integrate data from different agencies to respond effectively to shocks. We conceptualize digital resilience as a dynamic capability

The COVID-19 pandemic forced organizations, including higher education institutions, to rapidly adjust their operations. In the face of the pandemic, most higher education institutions shut down their campuses and transitioned to emergency remote teaching mode. This study examines digital resilience in higher education institutions through the conceptual lens of disaster response management, by assessing

Evidence shows that older users have lower performance levels for IT-enabled tasks than younger users. This is alarming at a time when the workforce is rapidly aging and organizational technologies are proliferating. Since the explanation for these lower performance levels remains unclear, managers are not sure how to help older users realize their full potential as contributors to organizational success

Online social cues that utilize user-generated data, such as user reviews and product ratings, have become one of the key factors influencing online user behavior and decisions. Online users who shared their reviews and ratings about a product (or a seller) become an abstract reference group to a focal user interested in the same product. This study focuses on sponsored search results (SSRs), a type

In today’s environment characterized by business dynamism and information technology (IT) advances, firms must frequently update their enterprise information systems (EIS) and their use policies to support changing business operations. In this context, users are challenged to maintain EIS compliance behavior by continuously learning new ways of using EIS. Furthermore, it is imperative to businesses

In this paper, we examine the effectiveness of various recommendation strategies in the mobile channel and their impact on consumers’ utility and demand levels for individual products. We find significant differences in effectiveness among various recommendation strategies. Interestingly, recommendation strategies that directly embed social proofs for the recommended alternatives outperform other recommendations

With today’s technological advancements, mobile phones and wearable devices have become extensions of an increasingly diffused and smart digital infrastructure. In this paper, we examine mobile health (mHealth) platforms and their health and economic impacts on the outcomes of chronic disease patients. To do so, we partnered with a major mHealth firm that provides one of the largest mobile health app

Despite increased empirical attention, theory on bots and how they act to disseminate information on social media remains poorly understood. Our study leverages the conduit brokerage perspective and the findings of a multiple case study to develop a novel framework of algorithmic conduit brokerage for understanding information dissemination by bots and the design choices that may influence their actions

We examine the role of reciprocity enabled by digital social platforms for offline healthy behavior. Although reciprocity is a fundamental aspect of human psychology, its application in promoting healthy behavior has been limited. We conduct a randomized field experiment with over 1,700 pairs of users on a mobile social network platform. Individuals in the reciprocity treatment group receive a gift

Data breaches are a major threat to organizations from both financial and customer relations perspectives. We developed a nomological network linking post-breach compensation strategies to key outcomes, namely continued shopping intentions, positive word-of-mouth, and online complaining, with the effects being mediated by customers’ justice perceptions. We conducted a longitudinal field study investigating

Medication nonadherence (MNA) causes severe health ramifications and costs the U.S. healthcare systems $290 billion annually. Understanding patients’ MNA reasons is an urgent goal for researchers, practitioners, and the pharmaceutical industry to mitigate those health and economic consequences. Past years have witnessed soaring patient engagement in social media, making it a cost-efficient and rich

Online crowdfunding holds the promise of empowering entrepreneurs and small businesses as an innovative alternative financing channel. However, doubts have been expressed as to whether online crowdfunding can deliver its promise because of the lack of empirical evidence regarding its effects. In this study, we investigate the effects that prosocial crowdfunding has on traditional microfinance institutions

In this article, we study the effect of peer influence on products that exhibit positive network externalities to non-adopters (i.e., products that benefit adopters’ friends even if they do not adopt). Contrary to products that exhibit positive network externalities upon adoption, this structure of incentives likely results in negative peer influence: the more friends that adopted the product, the

We recently have witnessed two important trends in online retailing: the advent of new media (e.g., social media and search engines) makes advertising affordable for small sellers, and large online retailers (e.g., Amazon and JD.com) opening their platforms to allow even direct competitors to sell on their platforms. We examine how new-media advertising affects retail platform openness. We develop

A common problem in many mature markets is how to deal with congestion—a situation in which transaction requests from market participants cannot be accommodated in an expedited manner. This paper examines the congestion problem in sequential Dutch auction markets. Transactions in these markets typically involve perishable goods, thus market clearing speed is crucial. Traditionally, sequential Dutch

Privacy needs on today’s Internet differ from the information privacy needs in traditional e-commerce settings due to their focus on interactions among online peers, and not just on transactions with an online vendor. Peer-oriented online interactions have critical implications for an individual’s virtual presence and self-cognition. Yet, existing conceptualizations of internet privacy concerns solely

Under increasing pressure to demonstrate environmental responsibility, organizations realize that they cannot claim to be environmentally sustainable if their supply chains are not. This research seeks to understand how an interorganizational green IS influences environmental sustainability (ES) initiatives within organizations in a supply chain. We examine a green IS taking the form of an interorganizational

Several online review platforms offer monetary incentives to motivate individuals to write reviews and keep them engaged with the platforms. While existing studies have examined the effects of completion-contingent monetary incentives (which uniformly reward users as long as they write reviews on the platform), we know little about the effectiveness of performance-contingent monetary incentives (which

Online retailers use product ratings to signal quality and help consumers identify products for purchase. These ratings commonly take the form of either non-personalized, aggregate product ratings (i.e., the average rating a product received from a number of consumers such as “the average rating is 4.5/5 based on 100 reviews”), or personalized predicted preference ratings for a product (i.e., reco

The benefits that organizations accrue from information systems depend on how effectively the systems are used. Yet despite the importance of knowing what it takes to use information systems effectively, little theory on the topic exists. One recent and largely untested exception is the theory of effective use (TEU). We report on a contextualization, extension, and test of TEU in the business intelligence

We review the literature on how organizations learn from information system (IS) incidents. We identify three modes of learning depending on the practices that constitute the learning process, the specific actors who play roles in learning, the temporal orientation of the learning practices, and the specific contextual focus of the learning. The literature focuses primarily on learning from past experience

Agile software development, a paradigm that emphasizes project team autonomy and the value of responding to changes over following standardized processes, has gained prominence in the software industry. Prior investigations on the adoptions of agile paradigms for software operations and their performance implications have typically focused on isolated aspects of software development processes. In this

Emerging phenomena of ubiquitous multisource data offer promising avenues for making breakthroughs in financial risk prediction. While most existing methods for financial risk prediction are based on a single information source, which may not adequately capture various complex factors that jointly influence financial risks, we propose a hybrid-strategy-based self-adaptive method to effectively leverage

Constructs and indicators are central to the efforts of many researchers who seek to build and test theories and articulate rich narratives about real-world phenomena. For this reason, an extensive discourse exists about their nature. Increasingly, this discourse has become fraught with controversy. Using Bunge’s (1977, 1979) ontology, I examine the nature of constructs and indicators as they are discussed

Models play an important role in systems analysis and design (SAD). A diagrammatic model is defined as a mapping from a domain to a visual representation in such a way that relevant information is preserved to meet a specific goal. So far, cognitive research on diagram criteria in relation to task performance has been fragmented. The aim of this paper is to (1) consolidate research on the cognitive

How and why do societal, organizational and individual factors affecting gender equity in the IT field change over time? To answer this question a longitudinal investigation of the nature of change in factors affecting the position of women in the IT profession was undertaken. It was conducted in Ireland against the backdrop of fluctuations in the nation’s socio-economic status. The individual differences

Despite the importance of information technology (IT) innovation in today’s digitalized world, little research attention has been paid to examining how firms can incentivize IT innovation. To fill this gap, the current study investigates the impact of managerial incentives provided to chief executive officers (CEOs) on IT innovation, measured by the number of IT patents. In particular, we examine the

The growth of mobile devices coupled with advances in mobile technologies has resulted in the development and widespread use of a variety of mobile applications (apps). Mobile apps have been developed for social networking, banking, receiving daily news, maintaining fitness, and job-related tasks. The security of apps is an important concern. However, in some cases, app developers may be less interested

Product review platforms in online marketplaces differ with respect to the granularity of product quality information they provide. While some platforms provide a single overall rating for product quality (also referred to as the single-dimensional rating scheme), others provide a separate rating for each individual quality attribute (also referred to as the multidimensional rating scheme). The multidimensional

Information systems development (ISD) requires both business domain and technology domain knowledge. How cross-domain knowledge affects ISD outcomes is one of the most fundamental and persistent problems in the IS field. We argue that the effect of cross-domain knowledge depends on its distribution across business and IT units and ISD complexity in terms of level and pattern of design element interdependencies

The success of platform companies often depends on their ability to “scale” their customer and supplier base. Existing studies have focused on a variety of approaches that platforms may use to scale but have not systematically considered that platforms might acquire other companies as part of this growth strategy. In this paper, we study the acquisition patterns of digital platform companies and contrast

An outcome of the rising popularity of crowdsourcing contest platforms has been an increase in the number of tasks available on a platform at the same time. These concurrent tasks compete for the attention of the same pool of solvers. There is some evidence that an increase in the number of competing tasks can reduce the number of solvers participating in a focal task. However, it is not clear exactly

The Internet of Things (IoT) is increasingly transforming the way we work, live, and travel. IoT devices collect, store, analyze, and act upon a continuous stream of data as a by-product of everyday use. However, IoT devices need unrestricted data access to fully function. As such, they invade users’ virtual and physical space and raise far-reaching privacy challenges that are unlike those examined

Through the lens of social movement theory, this paper investigates the drivers of individual users’ social influence on Twitter during the Egyptian Revolution of 2011. Following this lens, we suggest an extended model of sustained social influence (that considers retweets as the measure of user influence) as a function of the duality of individual Twitter users’ social actions and the underlying facilitating

Screening is considered a necessary mechanism for alleviating information asymmetry but has also raised concerns about increased discrimination in online peer-to-peer market platforms. Paradoxically, providers of goods and services may also voluntarily forgo screening, even though it increases the risks and costs associated with poor matches. We examine who may choose to forgo screening and why, and

Online labor platforms (OLPs) can use algorithms along two dimensions: matching and control. While previous research has paid considerable attention to how OLPs optimize matching and accommodate market needs, OLPs can also employ algorithms to monitor and tightly control platform work. In this paper, we examine the nature of platform work on OLPs, and the role of algorithmic management in organizing

Nonmalicious information security policy (ISP) violations can cause organizations significant harm. Here, we aim to extend the understanding of why employees engage in such acts. A large body of ISP violation research is based on the tenet that people violate ISPs to obtain personal benefits, as explained by rational choice and expectancy theories. But this assumption has only been weakly tested, using

Too much of a good thing can be harmful. Choice overload, a compelling paradox in consumer psychology, exemplifies this notion with the idea that offering more product options could impede rather than improve consumer satisfaction, even when consumers are free to ignore any available option. After attracting intense interest in the past decades from multiple disciplines, research on choice overload

Recent statistics indicate that most organizations prefer to fill IT vacancies by rehiring IT professionals who previously worked in the organization. Less is known about what drives IT professionals to “turnback,” a term we define as returning to employment with a former employer. To explain this important and rarely considered IT job mobility behavior, we build on job embeddedness theory and on the

We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility-maximizing context, public or private. It relies on randomized field experiments for causal inference, machine learning for estimating heterogeneous treatment

With the rise of machine learning (ML), humans are no longer the only ones capable of learning and contributing to an organization’s stock of knowledge. We study how organizations can coordinate human learning and ML in order to learn effectively as a whole. Based on a series of agent-based simulations, we find that, first, ML can reduce an organization’s demand for human explorative learning that

The introduction of machine learning (ML)in organizations comes with the claim that algorithms will produce insights superior to those of experts by discovering the “truth” from data. Such a claim gives rise to a tension between the need to produce knowledge independent of domain experts and the need to remain relevant to the domain the system serves. This two-year ethnographic study focuses on how

Online professional networks are important tools used by recruiters to find qualified candidates for job openings. Within these networks, professional recommendations are used to supplement profiles and add credibility. These recommendations tend to be overly positive, full of superlatives, and lacking in critical statements (referred to as scope of improvement). We draw on the theory of online trust

Research on online product reviews has examined a variety of issues ranging from reviewers’ motivation to write reviews to the impact of reviews on product sales. Implicit in this research stream is the notion that more reviews are better for sellers and consumers. However, it is unclear whether both retailers, who control the review platform, and manufacturers, whose products are reviewed, prefer

Powered by digital technologies, many peer-to-peer platforms, or what is called the sharing economy, have emerged in the past decade. Although the impact of the sharing economy has received considerable attention over the past few years, extant research has not fully documented the impact of the sharing economy on consumers, workers, industry, or society as a whole. In this study, we exploit the geographical

This work examines the question of who is more likely to provide future helpful reviews in the context of online product reviews by synergistically using personality theories and data analytics. It trains a deep learning model to infer a reviewer’s personality traits. This enables analyses to reveal the role of personality traits in review helpfulness among a large population of reviewers. We develop

Occupations are increasingly embedded with and affected by digital technologies. These technologies both enable and threaten occupational identity and create two important tensions: they make the persistence of an occupation possible while also potentially rendering it obsolete, and they magnify both the similarity and distinctiveness of occupations with regard to other occupations. Based on the critical

Machine learning (ML) tools reduce the costs of performing repetitive, time-consuming tasks yet run the risk of introducing systematic unfairness into organizational processes. Automated approaches to achieving fair- ness often fail in complex situations, leading some researchers to suggest that human augmentation of ML tools is necessary. However, our current understanding of human–ML augmentation