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

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

With the steady increase in connectivity and the development of new dynamic, interconnected, and distributed technologies, management teams are seeing opportunities to digitally transform organizational processes. Following a case of Internet of Things (IoT) implementation, the aim of this paper is to explore the transformational potential of IoT and the mechanisms and processes that support or constrain

Configurational dispersion describes the distribution of team members across sites. Two of its dimensions include how unevenly members are distributed—i.e., configurational imbalance—and the extent to which members work in isolation from other team members—i.e., configurational isolation. We examine the combined influence of configurational dispersion, information and communication technologies (ICTs)

The execution of augmented reality (AR) has become a new method for companies to create a favorable shopping experience. This study investigates consumer-based brand equity (CBBE) in the mobile AR context, especially regarding high- vs. low-innovativeness consumers. We identify three key attributes to signify AR's embedding and embodiment experience—perceived augmentation, simulated physical control

This study investigates the impact of cryptocurrency rewards and token prices on user-generated content (UGC) provision by content creators on a blockchain-based platform. Analyzing data from the Steemit platform, we find that although an increase in total reward value incentivizes UGC contributions, the rise in token prices alone does not lead to a surge in UGC. Instead, token prices have a mediating

Extensive efforts have been made by both academics and practitioners to understand the inter-firm competitive relationship owing to its profound impacts on multiple key business goals, e.g., company benchmarking, marketing strategy planning, and talent acquisition. However, it has never been an easy task to fully characterize firms and assess the competitive relationship among them, mainly due to the

The professional social networks of physicians are an essential source of health-related user-generated content and online social capital. Yet limited research has examined how social networks of physicians emerge at the level of relationships between physicians. To help fill this gap, this study investigates the formation of followship between physicians (i.e., when one physician follows another)

During public health crises, people's self-efficacy determines their mental and physical health. However, little is known about the influence of digital technology on self-efficacy in response to public health crises. To better understand these effects, we conducted a mixed methods study based on Chinese digital technology users; we interviewed 17 and surveyed 607 users. The results indicated that

Governments realize a significant gap exists between existing efforts in customer experience and citizen expectations for implementing a digital platform in e-government (DPEG), hindering citizens’ continuance intention. This study proposes a novel initiative called . Based on the motivational lens, we develop and test a conceptual research model. We find that gamification-enabled customer experience

The risk of malicious deep synthesis lurks in hedonic applications, yet people tend to be ethically tolerant, leaving governance in a quandary. This study explores the reason for this from the perspective of moral judgment and finds that hedonic applications reduce people's sensitivity to ethical norms. We then explore the mechanism of the governance measure labels, using moral sensitivity as a moderating

Contemporary digital work practices increasingly necessitate prompt responses by employees to work-related communication. The impact of employees’ response behavior to work communication (RBWC) on collaborative performance remains underexplored. To address this gap, we propose a theoretical model integrating the theories of person-environment fit, social support, and conservation of resources. RBWC

Data governance is recognised as a new capability for organisations to maximize the value of data. Process mining is essential for the resilient growth of businesses, making process data a strategic asset for organisations. Even though the availability of reliable process data is vital for obtaining dependable insights into process mining techniques, there exists no framework that explains how to govern

This paper investigates the association between retail investors’ online activity and the pricing of initial public offerings (IPOs). We utilize data from Google Trends and StockTwits to analyze price revision for 901 U.S. IPOs, and find that the online search count, social media post count, and post sentiment are positively associated with IPO pricing. One-standard-deviation increases in these variables

While Twitter remains one of the most popular social media networks within the information security community, threat actors continue to abuse the platform to create, share, and spread malicious contents. In this study, we focus on whether Twitter- and vulnerability-related features can help predict vulnerabilities known to be actively exploited. Using a sample of 6004 tweets, results show that Twitter

Online reviews exert a considerable influence on consumer purchase behavior, yet there remains ambiguity about the most effective managerial response strategies for positive and negative reviews. Addressing this gap, our study introduces a Strategy-Aware, Deep Learning-Based Natural Language Processing (Sa-DLNLP) model designed to optimize firm responses. The proposed model underwent rigorous evaluation

Smart Service Innovations (SmartSIs) are crucial for future competitiveness, but established organizations often struggle with the complexity of generating SmartSI ideas. Thus, we propose the a method for systematically generating SmartSI ideas drawing from current smart service research and being theoretically anchored in technological, value creation, and systems perspectives. We developed the method

This systematic literature review synthesizes the conceptualizations of ethical principles in AI auditing literature and the knowledge contributions to the stakeholders of AI auditing. We explain how the literature discusses fairness, transparency, non-maleficence, responsibility, privacy, trust, beneficence, and freedom/autonomy. Conceptualizations vary along social/technical- and process/outcome-oriented

Companies increasingly rely on individuals' skills, enthusiasm, and creativity, all the while striving to fully embrace digitalization as an integral aspect of the business. Technological mediation has altered the design and functionality of work, although the Information Systems (IS) literature about human resource management (HRM) provides little empirical evidence of the synergy between the two

Information security is heightened when employees develop a strong sense of information stewardship for information assets, a form of organizational citizenship behavior, suggesting that compliance should be perceived as a symbiotic relationship between organizations and employees. We conducted a field study by collecting multi-source, match-paired survey data from 487 employees paired with their supervisor's

Process models are structured representations of workflows in an organization that provide a powerful tool for facilitating communication and process redesign or improvement. Model comprehension is challenging for beginning modelers. This study scrutinizes the effect of token-animated process models on novice modelers’ comprehension in an experiment with 229 participants. The study is grounded in the