Increased connectivity between employees and their organizations complicates managing information flows and constant availability via e-mail. We classify employees’ e-mail experiences using e-mail into groups of e-mail overload based on a boundary perspective and assess its impact and coping mechanisms, from a coping perspective, on subjective well-being. Survey results (N = 1,372) show that (1) e-mail

Business-to-Business (B2B) online communities (OCs) facilitate enterprises to obtain additional resources through establishing interconnected networks. However, the existing literature lacks comprehensive insights into how the social network of enterprises affects their involuntary default. Based on social network theory, this study aims to investigate the influence of structural network embeddedness

When selecting top candidates for a job, organizations would prefer to not accidentally filter out the highest quality candidates. But an unbiased, detailed assessment of every applicant in a large candidate pool has been prohibitively costly. Asynchronous video interviews (AVIs) are inspiring new ideas for predicting job performance early in the hiring process by providing a rich source of signals

Crowdfunding provides an effective way to raise small amounts of funds from a large number of backers. This study aims to explore the impact on backer behavior and subsequent funding outcomes when tangible rewards are emphasized in charitable crowdfunding campaigns. Based on the data from a crowdfunding platform in China, we differentiate between the behavior of backers who are intrinsically motivated

We investigate the performance consequences of on-screen interruptions in mobile use. Drawing on capacity theory of attention, we conjecture that attention capacity may be lower in mobile use relative to PC use. A self-report instrument provides preliminary support for this conjecture. An online experiment provides additional support by showing that mobile users benefit from lower switching costs when

In the late 1990s, most organizations adopted enterprise systems (ES) to automate their core business processes. The very same organizations are presented with a new wave of opportunities to innovate with digital technologies—technologies that purport to have diametrically opposed characteristics to ES. This study explores how organizations integrate digital technologies with their incumbent ES for

Leveraging the IT-enabled organizational capabilities perspective, we develop a moderated mediation model to examine the mechanisms and boundary conditions through which e-commerce capability affects decision-making performance. Using a sample of Chinese agriculture firms, the results validate that e-commerce capability positively influences decision-making performance through organizational agility

Our study proposes and tests a method for developing domain-specific dictionaries tailored for textual analysis in information systems research. Traditionally, dictionaries have been widely used for content classification according to sentiment; however, we introduce an alternative approach focused on creating dictionaries from sentiment-devoid documents. We demonstrate this method by developing a

Digital detox is gaining increasing attention as a method of self-control to address the adverse effects of prolonged leisure information and communication technology (ICT) use. However, the existing literature on this matter uses inconsistent terminology and reports mixed empirical results due to different understandings of what constitutes a digital detox strategy. Based on a theoretical review of

Research on information and communication technology (ICT) innovation highlights its crucial role in fostering socioeconomic development in underdeveloped regions. Prior studies have shown that the unique context of these regions can present significant challenges, which often lead to project failure. These studies generally examined the phenomenon at the organizational and societal levels, offering

One of the persistent challenges in crisis detection is inferring actionable information to support emergency response. Existing methods focus on situational awareness but often lack actionable insights. This study proposes a holistic approach to implementing an actionability extraction system on social media, including requirement gathering, selection of machine learning tasks, data preparation, and

Our study empirically examines whether users’ personality traits accentuate or attenuate the influence of emotions in microblogs on users’ sharing behavior over time on a social media platform (Weibo in particular) during emerging infectious disease (EID) outbreaks. We develop a theoretical framework to analyze the dynamic relationship between emotions in microblogs related to EID on users’ sharing

Recommender systems have been used extensively in tourism activities to aid travel decision making. However, existing systems design routes using mainly deterministic information, ignoring the negative impacts of uncertain events, likely resulting in suboptimal or impractical route designs. This study addresses this issue by integrating forecasting mechanisms into system design, thereby enabling tourists

This study examines antecedents that drive platform users to manipulate artificial intelligence (AI) recommendation algorithms. Based on the persuasion knowledge model (PKM), survey data collected from YouTube and Instagram users reveal that AI manipulation intentions are positively affected by persuasion knowledge about AI and perceived interactivity. Perceived interactivity is associated with higher

Fintech has attracted attention based on its fusion of technology and finance; however, how its elements should be combined and configured has yet to be explored. To fill this research gap, this study investigates specific and multiple configurations of Fintech attributes that lead to high use by adopting a fuzzy-set qualitative comparative analysis. Based on the diffusion-of-innovation theory and

In today's world, organizations rely on cybersecurity end-user compliance as an essential practical parameter. Yet cybersecurity compliance remains a challenge, and failures are commonplace. But why? In addressing this question, we argue that ISP compliance is neither too monolithic nor too granular a construct but needs respecification. We empirically investigate cybersecurity antecedents leading

Modern information technology (IT) features aimed at helping users can also increase the complexity of IT. The impact of this emergent complexity on employee behavior remains unknown. Using the transactional theory of stress, we propose that people cope with IT complexity by cutting corners. An experimental study involving 130 data analysts revealed (1) data analytics tools’ complexity increases distress

As remote-work employees increasingly participate in virtual meetings with personal devices in personal settings, camera use becomes discrepant among group members when someone turns it on while others are off. However, it remains unknown how one-way visual communication, referred to as a discrepant visibility context in this study, affects attendees’ task-related behavior. Drawing on experiential

In the digital era, social network service (SNS) significantly influences travel behavior. Understanding SNS spillover effects is crucial for accurate tourism demand prediction. This study introduces SNS co-occurrence similarity (SNS-COS) to capture the spillover effects and demonstrates a comprehensive tourism demand forecasting framework that combines econometric and AI models to handle spatial and

This study examines what drives user tipping on online video sharing platforms, focusing on how video characteristics such as contributor experience, content length, and content type affect tipping behavior. Drawing from theoretical foundations such as the elaboration likelihood model and social exchange theory, we propose several hypotheses. Based on a dataset from Bilibili.com, we employ econometric

Online crowdfunding has become a popular mechanism for creative projects that are not suitable for traditional financing means. Interestingly, creators on crowdfunding platforms frequently embark on projects beyond their prior expertise. In this study, we investigate how fundraising performance affects a creator's decision to venture into (i.e., explore) new project categories. Leveraging data from

Twitter spam needs to be detected and arrested quickly. The paper examines methods for classification of spam in terms of determination of important features, comparative performance of classification models, and improvement in time performance for classification. It presents a conceptualization of several novel rich, deep, and naïve features. The extraction processes for rich and deep features increase

As an essential product cue in consumer information foraging, textual snippets can convey valuable scents that attract consumers to further access products, paving the way for online sellers to seize a competitive advantage. Premised on shopping goals theory, this study proposes a novel approach to designing high-quality product snippets that are particularly enhanced with consumer interests. First

crowdfunding has become an increasingly common source of financing for entrepreneurs, yet it entails fierce competition among campaigns on crowdfunding platforms. Previous research has investigated how crowdfunding success is affected by factors such as the campaign attributes creator information and online communication between creators and backers. Yet little work has addressed the effect of campaign

Drawing on chasm theory and perceived value theory, this study investigated user participation behavior differences at different stages of online communities to understand two stage-related threats: the cold-start problem (i.e., creating conditions for the establishment of an initial mass of content) and the chasm problem (i.e., user motivational change as an online community evolves). Analysis of

Mobile massively multiplayer online role-playing games (MMORPGs) effectively motivate players to purchase in-game items, but the factors underlying purchase behavior in mobile MMORPGs remain inadequately understood. Utilizing the Wixom and Todd framework, our study explores how technological characteristics, gameplay experience, and attitudes drive players’ purchase behavior. Through online surveys

This paper examines the role of contextual factors and negative critical incidents as drivers of wearable discontinuance. We adopt a process perspective to understand wearable discontinuance by collecting data from long-time wearable users who have permanently discontinued their use and have no intention of reusing them. We adopt a multistage research design and collect data through the critical incident

Online health information varies, as well as what people choose to consume and believe. Previous research finds that hesitancy to follow health advice is often due to suspicion about credibility. The elaboration likelihood model suggests credibility assessments use both argument quality and source credibility. One important facet for understanding how and why people cling to misinformation about health

Platform-based ecosystems dominate e-commerce, generating value through participant growth and resulting network effects. However, research has lacked any conceptualization of value creation in e-commerce ecosystems. This paper fills this gap by providing a theoretically grounded and empirically validated conceptualization of value creation and exchange, including roles, value creation activities,

With rapid advances in artificial intelligence (AI), more employees are benefiting from or being replaced by AI. Nevertheless, we know little about the extent to which AI affects employees’ occupations positively. This study improves the methodologies for quantifying employees’ occupational AI benefits and risks. We propose three mechanisms by which AI may benefit employees’ careers: productivity-enhanced

Information Systems (IS) research paradigms, models and findings are largely developed in the context of the United States and Western Europe and thus are largely applicable to the Western world and have limited relevance elsewhere. One area of IS research interest to both practitioners and academics is the elicitation of organizational/management issues related to the use of information technology

Intelligent conversational agents (ICAs) are revolutionizing how humans interact with information systems. Designed to provide human-like service, ICAs are generally evaluated by users in comparison to their human counterparts, often resulting in less-than-expected user experiences. Our research investigates user acceptance of ICAs in this suboptimal condition of commercial customer service. Drawing

Two leading digital entrepreneurial firms responded to a digital disruption differently. One adapted, whereas the other stagnated and eventually went bankrupt. In this inductive multi-case study, we strive to understand how they came to do so. Through constant comparison analysis between data, emerging theory, and existing literature, we develop a nuanced theoretical model suggesting that for entrepreneurial

The retention of audiences has become a pressing issue in the paradigm of livestreaming electronic commerce. Embracing the cognitive appraisal theory of emotions, this study develops a research model to gauge the relationship between emotion and audience retention. The results from 1,218,692 bullet comments from 491,348 users in 946 livestreaming sessions indicate that users’ valence and arousal affect

With the prevalence of online healthcare communities (OHCs), increasingly more people are seeking health-related information in OHCs. However, the large amount of health-related knowledge of varying quality poses a challenge for people to quickly find truly helpful knowledge. This study proposes a framework for automatically identifying helpful health-related knowledge based on a knowledge adoption

This article investigates how a firm's supplier integration influences supply chain risk management (SCRM) practices and how these relationships are influenced by information technology (IT) agility and managerial ties. We further conduct fuzzy set qualitative comparative analysis (fsQCA) as a supplement. Matched survey data were collected from 148 firms in China, our results find that supplier integration

Drawing on the technology–organization–environment (TOE) framework, this article examines the influence of TOE factors on the success of digital transformation (DT) in manufacturing export small and medium-sized enterprises, and how these factors are configured to explain DT success. While PLS-SEM results show the individual effect of TOE factors, fsQCA results reveal five paths with different configurations

The rise of blockchain technology has sparked interest in decentralized identity management (DIdM). However, DIdM's interdisciplinary nature has led to a fragmented understanding. We propose a “Task Structure-Technological Properties-Fit” framework to clarify the application of DIdM across tasks and contexts. We conducted a comprehensive review of 149 DIdM papers to define task structure (task goals

Online physician recommender systems alleviate information overload by automatically recommending the best-fit physicians to patients. In contrast to general recommendations, physicians with greater uncertainty (i.e., greater variance in patients’ feedback) may not be preferred as this could affect patients’ treatment. However, most existing recommender systems don't consider uncertainty, reducing

Time scarcity deals, which offer time-limited discounts, are prevalent in online shopping. These deals have two temporal aspects: deal time and lead time. Deal time, the remaining duration before the discount expires, signals scarcity and enhances the deal's appeal. In contrast, lead time, the delay between purchase and receipt/consumption, postpones gratification and diminishes the deal's attractiveness

Short video commerce has become increasingly prevalent; however, the factors affecting customer engagement have not been adequately examined. Drawing on social learning theory, attitude transfer theory and relationship norms theory, we explored how social learning behavior from three dimensions of atmospheric cues is associated with customers’ attitudes, how such attitudes mediate these engagement

Leveraging online networks like Twitter and Foursquare, our study explores the dynamics of self-disclosure and impression management through location sharing. Grounded in social and hyperpersonal information processing theories, we investigate how peer influence, geographical proximity, and exposure to promotional content impact self-disclosure behaviors. Through an integrated dataset, we determine

Increasingly, large organisations are turning to cybersecurity leaders to protect their information resources against attack. However, because cybersecurity leadership roles are new, educational literature and practice targeting this role are nascent. In this systematic review, we assess the value of case-based learning (CBL) in educating cybersecurity leaders. We also aim to discover what gaps, if

Ethical consumerism has led manufacturers and retailers to develop new initiatives to align their products and services with related requirements, such as the management of supply chains for ethically produced products. To this end, recent years have witnessed the growing reliance on technological innovations to corroborate claims on ethically produced products. RFID (Radio-Frequency Identification)-based

Short video platforms have become increasingly popular in recent years. Their success relies heavily on users’ continuous watching and advertising revenues. However, the factors that drive users’ continuous watching behavior are still unclear, and the potential influence of advertising on users’ continuous watching is largely neglected. Drawing upon the theory of consumption values (TCV) and the c

Although analytics have become a widespread practice, we still have minimal knowledge about how dashboards influence decision-makers and through what mechanisms they enhance decision making. In this study, we built on an experiment-based approach with mock-up visualizations and recruited 524 participants, who were divided into two groups (A and B) with variations in their visualizations. We found that

Social media platforms such as Instagram and Twitter have emerged as critical channels for marketing and selling illegal drugs. Detecting and labeling online illicit drug trafficking activities have become an important measure to combat online drug trafficking. Recently, machine learning has been applied to drug trafficking detection. However, the effectiveness of conventional supervised learning methods

The advent of social media platforms has made cyberbullying a growing concern. Current studies primarily investigate singular individual-level or environmental-level factors, yet cyberbullying is a multifaceted phenomenon that cannot be fully understood through single-dimensional perspectives. In this research, we draw on situational action theory (SAT) to explore how cyberbullying develops on social

Although technological developments have made AI chatbot teaching assistants a lived reality, limited insights exist indicating how students perceive and use these new technologies. Recognizing that technology usage research adopts a static view that overlooks the role of temporal distance, we draw on temporal construal theory to examine user intentions and actual usage behavior over time by re-approaching

This study examines the impact of emotional bias on entrepreneurial decisions in crowdfunding platforms, specifically considering the impact of mass shootings as exogenous emotional shocks. Using data from a leading crowdfunding platform, Kickstarter, paired with US mass shooting incidents, we apply a difference-in-differences approach. Our analysis shows that entrepreneurs in cities proximate to a

While digital technologies have undoubtedly enhanced the quality of life for individuals with visual impairment, their influence on social justice remains underexplored. Drawing upon intergroup contact theory, this study employs a mixed-methods approach, utilizing both surveys and interviews, to examine the impact of on social justice from the perspectives of both visually impaired people (VIP) and

Natural disasters arouse threats of health and economic damage, altering consumer behavior in both the short term and the long term. By adapting coping theory to health and economic threats, this study examines the heterogeneous impacts of epidemic disasters, in the COVID-19 pandemic context, on online consumer demand by product type and their dynamics after stabilization. Our results show that the

Mobile health applications (MHAs) have been widely used by community health workers (CHWs) in primary care to facilitate their workflow, but the continuance of these applications by CHWs remains inadequate. This article employs expectation confirmation theory as the overarching theory, complemented by the information system success model and the consumer expectations model, to propose a research model

Information systems development is a complex, knowledge-intensive process. Companies struggle with achieving IS development goals of delivering information systems within time, on budget, and with promised functionalities. This paper suggests that to achieve these goals, IS development teams need to cultivate a climate of collective ownership in the team. We collect qualitative data and use a multimethod

This paper introduces a novel theoretical lens of pseudo-community trust and studies its effect on member disclosure on social networking sites (SNSs). We collect survey data from 229 SNS users and validate the research model using the structural equation modeling method. Findings indicate the effect of pseudo-community trust in promoting member self-disclosure and reveal the contingency of its effect

This study explores the role of design affordance of social display features in mobile social e-commerce with recommendations. Building upon the intersection of signaling theory and construal level theory, we address two paradoxes regarding social and temporal cues in recommending (close social distance vs. limited feedback and recency vs. magnitude). The results from four experiments indicate that

This study examines different types of interactions in online communities for e-commerce sellers. Drawing on social exchange theory and using machine learning techniques to differentiate individuals’ interactions in the online community, we examine the impact of exchanging two major types of resources—tangible assistance and knowledge—on e-commerce sellers’ online sales. The findings demonstrate that

The adoption of ICTs for facilitating interactions can create barriers for those who identify as outsiders in technology-mediated groups. We use an experiment to investigate how outsiders pursue social integration strategies, including group assimilation and resistance, to empower themselves in short-term technology-mediated groups. We find the effectiveness of detached group members depends on the

This study examines the financial and environmental effects of carbon management systems (CMSs) used in publicly traded companies worldwide. Market reactions to companies that announce the adoption of a CMS are analyzed, as are changes in greenhouse gas (GHG) emissions for CMS adopters. A method for conducting international event studies is introduced, and a Monte Carlo simulation indicates that such