Algorithm aversion is an important and persistent issue that prevents harvesting the benefits of advancements in artificial intelligence. The literature thus far has provided explanations that primarily focus on conscious reflective processes. Here, we supplement this view by taking an unconscious perspective that can be highly informative. Building on theories of implicit prejudice, in a preregistered

This paper addresses a thus-far neglected dimension in human-artificial intelligence (AI) augmentation: machine-induced reflections. By establishing a grounded theoretical-informed model of machine-induced reflection, we contribute to the ongoing discussion in information systems (IS) regarding AI and research on reflection theories. In our multistage study, physicians used a machine learning-based

In the U.S., multihospital systems (MHSs) charge significantly higher prices for hospital services than stand-alone hospitals. Rivalry restraint theory suggests that MHS with multimarket contact (MMC) can tacitly collude and mutually forebear from price competition to keep their prices above competitive levels. We posit that the success of such MMC-induced rivalry restraints (the truce) is affected

With the rapid development of fintech, the need for dynamic credit risk evaluation is becoming increasingly important. While previous studies on credit scoring have mostly focused on single-period loan default prediction, we call for a new avenue—multiperiod default prediction (MPDP)—to depict risk profiles over time. To address the challenges raised by MPDP, such as monotonic default probability prediction

We draw on the attention-based view of the firm to examine whether and when the presence of a CIO in the TMT has a positive effect on both firms’ ideated digital innovation (IDI) (i.e., the intensity of firms’ digital patenting activity) and commercialized digital innovation (CDI) (i.e., the digital sophistication of firms’ new products). Building on the idea that attention processes are context dependent

Social media—and, in particular, social media influencers—are playing an increasingly central role in shaping public opinion on a variety of issues. The political sphere is no exception. In response to the impact that social media influencers have on citizens’ political views and voting behaviors, political parties adapt their messages and policies during election campaigns. Media outlets, too, faced

Prior research has suggested that corrective fact-checking has inconsistent effects on beliefs about online misinformation claims. This study attempts to explain this inconsistency using three contingent factors—claim-source credibility, fact-checker credibility, and attitude strength—which respectively relate to three key parties in the fact-checking process: the source of a misleading claim, the

This paper empirically investigates how review moderation transparency affects the volume, length, and negativity of reviews. A change to the Yelp platform in 2010, introducing review moderation and displaying filtered reviews, created a natural experiment. We used a panel dataset of online reviews from the same set of restaurants on both the Yelp and TripAdvisor platforms in a difference-in-differences

Drawing on construal level theory, prior literature has found a positivity bias in online ratings when consumers evaluate an experience from a psychological distance, whether spatial or temporal. Self-distancing theory posits that psychological distance enables individuals to reflect on psychologically distant negative experiences more genuinely, in a less biased way. This raises the question of whether

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Purpose Previous research has analyzed the consequence of network stability; however, little is known about how partner type diversity influence network stability in R&D network. Based on knowledge-based view and social network theory, the purpose of this paper is to unravel the internal mechanisms between partner type diversity and network stability through the mediating role of knowledge recombination

Purpose This study aims to focus on a key unanswered question about how digitalization and the knowledge processes it enables affect firms’ strategies in the international arena. Design/methodology/approach The authors conduct a systematic literature review of relevant theoretical and empirical studies covering over 20 years of research (from 2000 to 2023) and including 73 journal papers. Findings

Purpose Successful knowledge transfer (KT) between younger and older workers (YW and OW, respectively) is critical for organizational success, especially in light of the recent surge in employment volatility among the youngest and oldest segments of the workforce. Yet, practitioners and scholars alike continue to struggle with knowing how best to facilitate these exchanges. The qualitative study offers

Purpose To co-create value through dynamic collaborations, enterprises and their suppliers need to orchestrate the integration of complementary resources when providing business services. As such enterprises' strategic decision to apply a plural sourcing strategy to establish dynamic collaborations with their suppliers implies that both in-house and outsourced business services should be bundled into

Purpose The collection and use of personal medical information for mobile health (mHealth) service raise significant privacy concerns. In this context, this study aims to explore the privacy paradox and its impact from the perspective of paradox resolution. Design/methodology/approach Based on social support theory and privacy calculus theory, this study first studies the effect of social support on

Purpose This research study aims to identify and rank the most substantial barriers to implementing green supply chain management (GSCM) in the Vietnamese agriculture industry. Design/methodology/approach The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) techniques have been employed for this work to rank the critical GSCM barriers. The rankings were determined based on

Firms are increasingly adopting digital transformation as a strategic priority. However, the path to successful transformation remains uncertain for many organizations. This paper examines the establishment and evolution of competency centers in two case study organizations, historically used in enterprise systems, in addressing the complexity and challenges of digital transformation. The interactions

Purpose Based on the conservation of resources theory, this study aims to investigate if the fear of career harm influences employees’ knowledge-hoarding behavior. The study further examines felt violation as the predictor of employees’ fear of career harm. The study also explores leader-member exchange as a boundary factor influencing the effect of felt violation on employees’ fear of career harm

Purpose Big data analytics (BDA) plays a crucial role in understanding customer behavior through Customer Relationship Management (CRM), especially in a rapidly changing business environment. This paper investigates the direct effect of BDA use on market performance, besides the mediating effect through Big Data-enabled CRM strategies adoption (e.g. customization and personalization). The paper also

Purpose Along with technology-based ecosystems, healthcare start-ups are expanding multi-fold. On the other hand, underlying uncertainties pose several challenges for these health-tech enterprises at macro-meso-micro level, influencing their business circumstances and profitability. The current study aims to comprehend the macro-, meso- and micro-level barriers that make it difficult for enterprises

Consumers play an increasingly central role in born digital organisations, including driving new approaches to consumer interaction, communication, and marketing. However, we know little about how born digital organise internally to manage and respond to consumer demands. In this paper, we studied an organisation providing online travel services where its aim was to reorganise internally, in relation

Small business revenues worldwide were drastically affected by lockdowns during the COVID-19 pandemic. As a result, many small businesses introduced new functionality through the adoption of digital technologies. However, little is known about the nature of these digital technology innovations, including whether they differed across industry sectors. Through a modified case study approach, we examine

Purpose A food delivery app (FDA) is a technological advancement connecting restaurants and consumers, making it possible to deliver food home conveniently. The current study seeks to identify the factors affecting consumers' continuance intention and sharing intention toward the FDA in the USA and Canada using an integrated framework built using trust transfer theory and a variety of constructs.

Purpose This paper aims to examine the dynamism of causal relationships among cloud computing (CC) adoption factors in the Indian context, considering the perspectives of both the cloud adopter and cloud provider. Design/methodology/approach The case-study method has been used to understand the dynamics among the factors. Using data from specific cases in India, causal loop diagrams (CLDs) have been

The diffusion of disinformation via social media has become a pressing societal concern for business leaders and policy makers. In recent years, online disinformation has been implicated as a source of field-level institutional change across a variety of societal contexts. To better understand how online disinformation changes institutional issue fields, we explore how digital materiality affords users

Purpose The enormous amount of waste generated and the scarcity of natural resources worldwide have encouraged societies and industries to adopt the Circular Supply Chain (CSC) concept. With a focus on zero-waste generation, Circular Economy (CE) mimics the ecosystem cycle as an alternative to the traditional linear economic model. This paper aims to investigate the evolution of research themes in

Purpose In the era of new technological revolution, seeking to survive and guarantee business sustainability in their digital internationalization, enterprises choose to become environmentally oriented. The need for new green business models has become evident in recent years, and enterprises offer green services in creative and eco-friendly ways. However, does the display of a green label on hotels'

Purpose Many organizations struggle to utilize security-as-a-service (SecaaS) advantages effectively, thus challenging the assumption that adopting the SecaaS model will necessarily lead to post-adoption satisfaction. This research paper draws on the organizational mindfulness theory and investigates the factors that lead to satisfaction with SecaaS. Design/methodology/approach The key informant-based

Purpose The purpose of this research study was to understand the simultaneous competitive and social gains of machine learning (ML) and artificial intelligence (AI) usage in organizations. There was a knowledge hiatus regarding the contribution of the deployment of ML and AI technologies and their effects on organizations and society. Design/methodology/approach This study was grounded on the dynamic

While monetary rewards have been widely used by online platforms to motivate user-generated content (UGC) contributions, users may not always demonstrate the expected behaviors. Unintended consequences of reward policies, exemplified by unchanged or reduced UGC contributions, may occur. Through two natural experiments, this study investigates the implications of providing users with an incentive structure

We collaborated with a leading fast-moving consumer goods (FMCG) manufacturer to investigate how intelligent image processing (IIP)-based shelf monitoring aids manufacturers’ shelf management by using data from a quasi-experiment and a field experiment. We discovered that such artificial intelligence (AI) assistance significantly and consistently improves product sales. Several underlying mechanisms

Industry assignment, which assigns firms to industries according to a predefined industry classification system (ICS), is fundamental to a large number of critical business practices, ranging from operations and strategic decision-making by firms to economic analyses by government agencies. Three types of expert knowledge are essential to effective industry assignment: definition-based knowledge (i

Hypercompetitive mobile app stores are characterized by rapid innovation and intense competition. App firms must vie for temporary competitive advantage through competitive actions such as releasing product improvements. We study how competitive indicators influence a particular competitive action—app updates—in a mobile game app market. Our results reveal that app firms take action to improve or sustain

Information technology (IT) professionals are a strategic human resource for enabling competitive advantage through the application of data and technologies. Yet, it remains a challenge for organizations to retain top IT talent as the business context and the nature of work change. Retention strategies that have worked with other business professionals have faced limited success with IT talent, leading

Prior work on leadership in information systems development (ISD) teams has assumed that all developers are treated equally by their team leader and ignored the possibility that differentiated leader-member exchange (LMX) may be an important instrument for team leaders to influence self-organizing, agile ISD teams. We conducted a concurrent mixed methods inquiry to understand how LMX differentiation

This study adopts a signaling theory perspective to examine whether and how crowdfunding (relative to angel financing) influences subsequent venture capital (VC) investments in startups. We used a bivariate probit model with propensity score matching to address the potential endogeneity of the initial funding choice. Subsequently, we found that crowdfunded startups have a lower chance of receiving

Recent developments in big data technologies are revolutionizing the field of healthcare predictive analytics (HPA), enabling researchers to explore challenging problems using complex prediction models. Nevertheless, healthcare practitioners are reluctant to adopt those models as they are less transparent and accountable due to their black-box structure. We believe that instance-level, or local, explanations

Software platform ecosystems are emerging as a dominant model for IT-based services. To accelerate third-party development, platform owners often waive restrictions on app user interfaces to provide app developers with more autonomy in interface design. The literature has indicated, however, that standardized interface design across products is a strategic necessity for firms to introduce and manage

We contribute to the emerging literature on quality certification by digital platforms by studying the launch of the Airbnb Plus service, wherein the platform inspects properties and provides a badge that presumably signals the quality of the property and the reliability of the host. Our identification strategy relies on the fact that the Airbnb Plus service was launched in different cities at different

Purpose Over the last two decades, there has been a significant increase in incivility within the higher education sector, potentially due to mounting pressure and demands on academics, both collectively and individually. The effects on various aspects of academia, such as knowledge and learning, however, remain largely unexplored. The purpose of this research is to fill the gap by performing a theoretical

Purpose This study aims to analyze how sustainability, through an efficient knowledge management (KM) system, can serve as a driving force with respect to corporate culture and reputation. The research questions that guided this study are mainly the following: Are KM and sustainability related? Can culture strengthen the link between KM and sustainability? Can the link between KM and sustainability

Text-based customer service is emerging as an important channel through which companies can assist customers. However, the use of few identity cues may cause customers to feel limited social presence and even suspect the human identity of agents, especially in the current age of advanced algorithms. Does such a lack of social presence affect service interactions? We studied this timely question by

Topic models are becoming a frequently employed tool in the empirical methods repertoire of information systems and management scholars. Given textual corpora, such as consumer reviews and online discussion forums, researchers and business practitioners often use topic modeling to either explore data in an unsupervised fashion or generate variables of interest for subsequent econometric analysis. However

Leveraging a combination of analytical frameworks and empirical assessments, this study investigates the effects of wait-for-free (WFF) pricing schemes on the monetization of serialized, digital entertainment content, which has become increasingly pervasive on online platforms. WFF pricing is a strategy in which consumers are given the option to either wait a certain amount of time to acquire digital

Technology-augmented choice-making impacts many facets of business. The use of economic incentives under the ubiquitous mobile ecosystem for prosocial behavior has been shown to be particularly effective. We build on the previous work on this topic and study how mobile-based economic incentives and environments influence charitable giving behavior. In contrast to traditional fund-raising, we consider

Purpose Knowledge-intensive entrepreneurial firms (KIE) strongly rely on scientific and strategic research and development (R&D) capabilities to achieve higher performance levels. Hence, the purpose of this paper is to disentangle the effects of scientific capabilities and strategic R&D on KIE performance; and how the constituent elements of these dimensions can be configured to generate conditions

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Organizations use the ISO/IEC 27001 standard to establish an information security management system (ISMS). This standard outlines specific security measures and requirements that organizations can implement to effectively manage their information assets. However, the effectiveness of the standard’s problem-solving capabilities has raised some questions. Consequently, there is a continuous development