In freemium social games, disparities between paid and free players could evoke negative experiences, particularly when paid players gain significant advantages by purchasing in-game items. Drawing on affordance theory and social comparison theory, this experimental study reveals that both positive (e.g., perceived enjoyment) and negative (e.g., benign envy) experiences strengthen players’ willingness

China’s stock exchanges launched regulated, interactive investor platforms in 2010 and 2013 to empower retail investors. Investor-initiated interactive communications on these platforms are negatively associated with the propensity of corporate misconduct. The identified effect is associated with the information asymmetry channel, but not with various potential confounding factors. The interactive

Facing constant cyberattacks, organizations should use IT security tools, train employees, and motivate them to comply with security policies. Accordingly, employees’ extra-role security behaviors can benefit organizations as an additional line of defense. Drawing on organizational climate theory, we examined the psychological mechanisms through which organizational security climate could shape extra-role

We develop a construct called information security apathy, which we define as the extent to which individuals lack interest in information security. In Study 1, we develop and refine a scale to measure information security apathy, assess its content and its convergent, discriminant, and predictive validity, and show that it is distinct from and more stable over time than seven security motivation and

Generative artificial intelligence (AI) tools, such as ChatGPT and Gemini, have the potential to substantially transform various domains, particularly platforms centered on information exchange. This study investigates the impact of generative AI on content contribution and knowledge-seeking behavior within online knowledge exchange platforms by leveraging a comprehensive dataset from a leading Q&A

Click-through rate (CTR) prediction is a vital technique for assessing the effectiveness of online advertising. CTR prediction hinges on effectively modeling consumers’ product interests based on their historical behavior. However, extant CTR studies have not fully integrated consumer purchase history with other behavior histories such as browsing, adding to cart, and adding to favorites. How should

Turbulent environments amplify survival pressures on agribusinesses, underscoring the need for organizational resilience. While big data analytics capability (BDAC) is vital in strengthening organizational resilience, their relationship remains insufficiently explored. Grounded in the dynamic capability theory, this study investigates the impact of BDAC on organizational resilience and analyzes the

This paper examines the factors influencing patients' choice of physicians in OHCs (online health communities), using the ELM (elaboration likelihood model), a classic model of user information processing, as its foundation. We assess physicians' expertise and medical outcomes through the central routes, which includes platform quality and medical quality, and the peripheral routes, which refers to

This study examines the role of dynamic capabilities (DCs) in the adoption of artificial intelligence (AI) systems in China’s telecommunications industry and their impact on firms’ operational performance. Drawing on DCs theory and the technology–organization–environment (TOE) framework, this study investigates how TOE factors influence DCs for AI system adoption, which subsequently impacts operational

This study explores digital transformation (DT) phenomena in nonprofit organizations (NPOs) through a bibliometric analysis of related literature, contributing to the examination of such organizations’ unequal development and digital presence. Unlike research predominantly focused on for-profit-based assumptions, this study inspects nonprofit-based elements linked to DT. The analysis identifies people-centered

This study examined the impact of mobile app launches on mobile website traffic across firms, addressing the question of whether new apps complement or substitute existing mobile websites. Using a large sample and considering various firm characteristics, we uncovered the general synergistic effect between these two channels. However, this relationship can shift depending on such factors as market

Research on social media (SM) discontinuance draws on a range of theories and constructs to explain this phenomenon, making it difficult to evaluate the relative predictive strengths of these theories or identify common themes across their explanations. In this paper, we address these challenges by conducting an empirical comparison of eight prominent theories used to study SM discontinuance, based

Sharing verified information on social media is critical to preventing the spread of dangerous misinformation, protecting public health, and promoting informed decision-making during health crises, such as the COVID-19 pandemic. This study aims to shift the focus from the detrimental impact of social media users in disseminating unverified information during crises to the potential for motivating these

We develop a game-theoretic model to explore the impact of blockchain adoption on various players within a platform supply chain, as well as its interaction with selling contract strategies. In our model, the high-class supplier determines the blockchain adoption strategy, and the low-class supplier selects the selling contract. Our analysis shows that the low-class supplier benefits from the high-class

The widespread deployment of the Internet of Things has created a brand-new digital environment—an industrial big data environment (IBDE) characterized by a multitude of data resources. This study posits that IBDE, which has been commonly neglected in previous research, not only incubates affordance awareness capability, but also incurs data debt (DD), a new type of technical debt. This study uses

Offensive language is a significant detriment to social media environments. Existing research predominantly assumes monolingual expression, overlooking the prevalent behavior of code-switching (CS). To address this critical knowledge gap, this study identifies and empirically validates the distinct stylometric characteristics of code-switched (CSed) offensive language. Additionally, we developed methods

This study offers a holistic interpretation of signaling theory by demonstrating a four-stage research rationale innovatively to unveil the mechanism of five signaling elements in resolving the information asymmetry in social commerce-facilitated cross-border e-commerce. Using different data sources and methods, stages 1 and 2 cross-validate the significance of the signaling elements that are deconstructed

Drawing from the literature on collective information system (IS) usage and social learning theory, we identified how early-stage team IS usage characteristics shape the evolution of individuals’ IS usage. We obtained actual IS usage data from a news organization, covering 504 employees across 43 teams over 14 weeks. The results showed that early-stage team IS usage characteristics created assimilation

The use of artificial intelligence (AI) has significantly enhanced the efficiency of resume screening; however, discrepancies in person–job fit assessments between AI and human evaluators can adversely affect the recruitment process. This study introduces the concept of "person–job fit perception difference" to describe these discrepancies and proposes a theoretical model outlining the relationships

This paper examines how online platforms enhance the resilience of affiliated properties during crises, using the COVID-19 pandemic as a natural experiment. Employing difference-in-differences approach, we compare the performance of platform-listed hotels and their non-listed counterparts in New York City before and after the pandemic's onset. Our findings reveal that platform-affiliated hotels achieved

Startups play a crucial role in driving economic growth, job creation, regional development, and technological innovation. However, they often encounter risks stemming from uncertainties in technology, unfamiliar markets, and limited resources. Given these challenges, effectively predicting startup success, defined as achieving a successful exit within a specific observation window, is vital for shaping

We examine how the impact of accounting and finance enterprise systems (AFES) use on internal control process failures is influenced by the competence (or lack thereof) of internal controls. We draw on resource- and knowledge-based theories to motivate our hypotheses. We test our model using a six-year multisource panel dataset for 143 firms. We find that when firms lack requisite competence for internal

Evaluations of AI services may be adversely influenced by speciesism due to AI's distinctiveness from humans. We conducted four studies to investigate the impact of speciesism on AI evaluations. Our findings suggest that AI's capacity for affection expression (AE) increases people's satisfaction with AI services by reducing their speciesism toward AI. Additionally, we found that the influence of speciesism

This study examines how employees utilize resources in a psychologically safe environment, as well as how the presence of techno-stressors affects resource conservation. Drawing on the conservation of resources (COR) theory, we developed and tested a model for how techno-stressors moderate the relationships between psychological safety and both psychological (i.e., future work self) and behavioral

E-participation initiatives help combat corruption in nations, but variations in urban–rural distribution of political power and the spread of social media disinformation by governments threaten their effectiveness. Through a cross-country analysis spanning 141 countries, we demonstrate the importance of a pro-rural approach in boosting the impact of e-participation initiatives on reducing corruption

Short-term price discounts of online health services have become a key promotional strategy for increasing user engagement and consumption on online health platforms (OHPs). While these discounts offer patients greater affordability and accessibility, their impacts on physicians’ online health service sales remain unclear. This study takes a physician-centric view to evaluate the effectiveness of discounted

Prior research on online reviews has focused on investigating either the bias inherent in providing these reviews or the characteristics of users or products that lead to positive reviews. This study is different in that it controls for self-selection bias and incorporates both consumer and product characteristics, thereby providing a more realistic and holistic view of their impact on both the volume

Paid Question & Answer platforms make profits by charging readers a small fee for each answer they read. Because readers decide whether to pay for reading the answer only after reading the question, it is imperative to understand how question traits affect readers’ paying behavior. Drawing upon signaling theory and the Elaboration Likelihood Model, we examine how question length and the answerer-question

Physicians are the primary providers of online medical services, and their participation is critical to the vitality and sustainability of the online healthcare community. Drawing on the job demands-resources model and affordances theory, we integrate required online effort and platform affordances in online work settings and propose a dual-path model of online retention for physicians. Our findings

We propose an interactionist model that investigates when users demonstrate IT mindfulness to alleviate techno-stressors and enhance their engagement in remote work. Drawing on the Transactional Theory of Stress and Trait Activation Theory, a fuzzy-set Qualitative Comparative Analysis (N = 306 professionals) reveals equifinal configurations. In three configurations, users who encounter techno-stressors

This research fills a knowledge gap by introducing a new conceptualization of digital transformation through a multidimensional digital transforming capability. It further examines the influence of four cultural types on this capability and its subsequent impact on product innovation. Empirical findings reveal that adhocracy, followed in descending order of influence by clan, market, and hierarchy

Gamification is driving widespread application adoption, with a $70.4 billion projected market by 2030. However, the consequences of gamification on sustained use beyond initial adoption remain largely unclear. This study explores how the game layer may induce psychological fatigue and hinder continued use, particularly in learning systems. Drawing on self-determination theory and cognitive load theory

In response to the shift to remote work due to COVID-19, the challenges and opportunities of conducting mental health needs analysis activities via online and hybrid methods were explored, along with the influences on task-technology adaptations. Through online focus group interviews, the findings have revealed that the type of task performed and situational factors influenced the experience of challenges

Companies are increasingly confronted with data breaches, which incur substantial costs. In response, they frequently adopt compensation strategies aimed at mitigating adverse consequences and appeasing affected customers. However, the effectiveness of compensation strategies in assuaging customer concerns following data breaches remains an area of ongoing research, particularly in non-alternative

There is a growing need to investigate the impact of multimodal data, which are becoming increasingly prevalent on crowdfunding platforms, on prediction of fundraising outcomes. However, a prediction framework drawing upon rational theoretical foundations to leverage multimodal data in crowdfunding is still lacking. Guided by relevant theories, we explore the ideational, interpersonal, and textual

In this paper, we examine the relationship between information technology (IT) use and individual performance, employing Representational Theory to underscore contextual importance, especially the nature of IT use. By investigating the influence of IT use richness on performance, we adopt both correlational and configurational methodologies. Findings indicate associations to General Performance and

Leveraging the conservation of resources theory, this study investigates the influence of non-hedonic social media (SM) uses, namely broad socialization, deep communication, information retrieval, and information sharing, on forming knowledge-working professionals’ depression through SM overload and strain. The analysis of a two-wave data collection with 440 participants suggests that broad socialization

Existing theories on digitally enabled strategic agility have predominantly adopted a dynamic capability perspective, explaining how it fosters competitive advantage. However, such theories provide insufficient clarity on how organizations navigate the “equivocality” that arises from abundant but often unstructured and ambiguous information and signals to formulate an effective response to environmental

Our study seeks to explain bystander inaction by guiding the regulation of delegitimizing doxing. We develop a contextualized research model by integrating attitudinal ambivalence theory and general deterrence theory. Our results innovatively uncover three congruence effects describing how positive and negative appraisals are combined to determine bystander inaction. Moreover, perceived SNS deterrence

Phishing, the most pervasive cyber-attack, is a threat to both organizations and individuals, leaving phishing identification the most crucial anti-phishing weapon for all internet users. Individuals’ choice of information processing strategies results in differing accuracy of phishing identification. As an antecedent of phishing identification, the effect of mindfulness training has been researched

This study draws from the theory of collecting to explore how blockchain technologies facilitate virtual art trading and collecting, and then analyzes an NFT dataset to develop artificial scarcity design heuristics for royalty income maximization. The findings show a trade-off between scarcity's positive effect on the sale price and its inverted-U shape effect on trading frequency. Based on this trade-off

Crowdsourcing (CS) has generated considerable excitement among practitioners in recent years, especially for the purpose of solving complex tasks. However, several failed CS initiatives have highlighted the difficulties of tapping into a crowd of contributors. Whereas most scholars consider CS activities to be sources of benefits for all actors involved, some scattered empirical results obtained in

Individuals often cycle between using, discontinuing, and resuming information systems (IS). Despite recognizing the growing importance of reacquiring ex-users in IS research and practice, factors driving IS use resumption remain underexplored. Addressing this gap, we conducted 29 interviews analyzing 96 resumption cases. Our findings reveal seven recurring characteristics across five resumption patterns

The growing popularity of hybrid work has fueled the growth of teams with substantial reliance on virtual communication (i.e., interactions using computer-mediated communication rather than in person). Across two studies with self-managing hybrid teams, we apply a social role theory perspective to show women's tendency to be more effective virtual collaborators than men. We also find that a team member's

This study examines the impact of game-based student response systems (GSRSs) on students’ learning experiences in face-to-face education. Building on technology-mediated learning and active learning, we demonstrate the positive impact of GSRS use on learning outcomes and learning processes (student motivation, concentration, and enjoyment) in a field experiment in a Dutch secondary school. Our study

Client citizenship behaviors (CCBs) are prominent to enterprise system vendors to improve service. This study delves into the examination of how vendor's in-role and extra-role performance jointly impact CCBs. Employing polynomial regression and response surface analysis, this research scrutinizes the impacts of the congruence and incongruence between the vendor's in-role and extra-role performance

Generative AI technologies, particularly Large Language Models (LLMs), have transformed information management systems but introduced substantial biases that can compromise their effectiveness in informing business decision-making. This challenge presents information management scholars with a unique opportunity to advance the field by identifying and addressing these biases across extensive applications

Drawing on affordance theory and the needs–affordances–features (NAF) perspective, this paper examines the impacts of online social network (OSN) affordances and psychological ownership on users’ self-disclosure. Through the analysis of data collected from a field survey and a scenario-based experiment, we found that accessibility, information retrieval, editability, and association affordances positively

This study examines whether emotional exhaustion mediates the effect of technology overload on two types of employee silence: defensive and acquiescent. We also examine whether employment contracts (part-time/full-time) interact with technology overload to influence emotional exhaustion and subsequently the two types of employee silence. Based on data collected from 210 employees working in different

To mitigate algorithmic management's negative impacts on gig workers, gig economy platforms have begun to make their algorithms transparent. Prior studies have mostly focused on how the intensity of algorithmic management influences workers’ job outcomes while have neglected algorithms’ transparency features. To fill this gap, our study draws on the job demands–resources (JD-R) model by viewing algorithmic

Artificial Intelligence (AI)-enabled conversational agents (CAs) increasingly transform online customer service by acting as frontline workers. Understanding employees' attitudes toward these digital colleagues is crucial, as CAs blur the boundaries between human and machine roles. However, existing research often views CAs merely as tools rather than digital employees, neglecting their impact on employees'

Crowdsourcing effectively harnesses diverse skills and perspectives of crowds beyond organizational, geographical, and cultural boundaries. Organizations are gaining invaluable insights through crowdsourcing across diverse domains. This study reviews the growing academic literature on crowdsourcing using advanced topic modeling, an approach to unraveling key themes latent in the literature. Following

Embedding topic models with domain knowledge is deemed to be effective in bolstering the models’ interpretability. Nevertheless, contemporary topic modeling techniques introduced in past studies lack consideration for circumstances in which prior domain knowledge either does not exist or becomes obsolete quickly. Combining the latent Dirichlet allocation (LDA) with the Gaussian mixture model (GMM)

This study explores widespread cooperation among live content creators on synchronous user-generated content (UGC) platforms. It introduces a typology of online cooperation – hyping, peering, and spreading – based on creators’ relative popularity statuses and proposes a framework exploring resource-based cooperative strategies and the economic impacts of the three cooperation types. The study reveals

Though E-commerce search advertising has become an increasingly prevalent approach for online retailers to promote their products, it is nontrivial for online retailers to use search advertising effectively, particularly without a comprehensive understanding of the effect of bidding price. This research investigates the effect of bidding price on product click-through rate and conversion rate, with

Influencers in live commerce play a pivotal role in guiding consumers’ purchase decisions. Prior studies have explored how influencers’ different characteristics impact consumers’ purchase intention in live commerce. Nevertheless, the role of influencers’ impression management strategies in this context remains a largely unexplored terrain. We draw on the impression management lens and integrate the

The widespread application of generative artificial intelligence (GAI) and its ability to perform various tasks have raised concerns about identity threats. This study aims to investigate antecedents, behavioral consequences, and boundary conditions of GAI identity threat. We conduct a two-phase study using a mixed-methods approach. The qualitative phase aims to identify the critical factors that influence