282 Results Found

Smart irrigation is an operational technology (OT) problem as much as an Internet of Things (IoT) one: software decisions act directly on valves, pumps, pressure and water delivery, so a spoofed reading or a replayed command has physical consequences...

The emerging yet promising paradigm of the Internet of Vehicles (IoV) has recently gained considerable attention from researchers from academia and industry. As an indispensable constituent of the futuristic smart cities, the underlying essence of th...

Hybrid cyber–physical systems (CPS) integrate cloud services used in enterprise environments with operational technology (OT), which controls physical processes. However, most threat models applied to such systems implicitly assume that an adve...

Smart metering systems (SMSs) have been widely used by industrial users and residential customers for purposes such as real-time tracking, outage notification, quality monitoring, load forecasting, etc. However, the consumption data it generates can...

Generative artificial intelligence (GenAI) is reshaping digital marketing by expanding opportunities for personalization, content generation, automation, and consumer interaction, while simultaneously raising concerns about intrusion, manipulation, a...

The deployment of large language models (LLMs) in real-world applications introduces a compounding security problem: detecting adversarial inputs such as prompt injection and jailbreak-driven data leakage while simultaneously preventing the detection...

Organizations face escalating cyber risk, expanding attack surfaces, increasingly automated adversaries, and constrained security resources. Organizations are looking for practical mechanisms to improve security resilience by transforming threat mode...

Within the context of increasingly serious global environmental problems, green supplier assessment has become one of the key links in modern green supply chain management. In the actual work of green supplier assessment, the information of potential...

Standard Three-dimensional (3D) Magnetic Resonance Imaging (MRI) segmentation models typically rely on a fixed threshold or argmax-based class selection, providing little or no insight into model uncertainty, which can limit clinician trust. In this...

This study positions the podcast Question Everything as an innovative case of metanarrative podcast journalism amid the growing crisis of distrust in news media. Through in-depth interviews with host Brian Reed and producer Zach St. Louis, along with...

Wireless channel state information (CSI) enables device-free industrial safety monitoring, but the same representation can expose worker identity and sensitive locations. Existing CSI privacy methods typically protect fixed semantic targets or pertur...

(1) Shared decision making (SDM) has been advocated as a way of improving prudency in healthcare and has been linked to self-efficacy and empowerment of service users. The evaluation of its use in musculoskeletal (MSK) physiotherapy has been vague, b...

Contextualization of young carers in early childhood is complex. Biopsychosocial impacts of young caregiving are receiving growing interest, yet the voice and experience of society’s youngest carers (0–5 years) remain absent from the lite...

With the rapid advancement of technology, whether to cultivate employees’ trust in artificial intelligence (AI) has emerged as a practical issue that managers must address to drive innovation. In this study, we explore how employees’ trus...

Despite the increasing integration of government chatbots (GCs) into digital public service delivery, their real-world effectiveness remains limited. Drawing on the literature on algorithm aversion, trust-transfer theory, and perceived risk theory, t...

This study examines the psychological mechanisms through which anthropomorphic artificial intelligence (AI) relates to consumer adoption intentions in fragile, low-trust economies. Integrating the Stimulus–Organism–Response framework with...

In order to build and maintain social capital in their Online Social Networks, users need to disclose personal information, a behavior that at the same time leads to a lower level of privacy. In this conceptual paper, we offer a new theoretical persp...

Combining social exchange and inducement-contribution theory as our overarching theoretical framework, we examine innovative climate as a boundary condition and organizational trust as a mediating mechanism to explain when and how the employee-organi...

The article engages in an exercise in reflexivity around trust and the COVID-19 pandemic. Common understandings of trust are mapped out across disciplinary boundaries and discussed in the cognitive fields in the medical and social sciences. While con...

This study investigates how AI-driven personalization shapes traveler satisfaction in a post-adoption tourism context, with particular attention to the mechanisms and boundary conditions through which personalization is associated with experiential o...

Drawing on signaling theory and a relational perspective, this study examines how perceived influencer credibility is associated with e-loyalty intentions in influencer-mediated social commerce. Rather than claiming that each individual path is theor...

Artificial Intelligence (AI) is rapidly transitioning from a specialized technology to an everyday socio-technical infrastructure, yet public acceptance remains shaped by a trade-off between perceived benefits and risks. This study examines how indiv...

Educational systems increasingly function as complex social environments in which schools, families, and communities interact across institutional boundaries. Within these interconnected systems, teachers frequently operate at the boundary between sc...

Generative AI (GenAI) is widely used in learning and daily life, yet its associations with interpersonal trust remain unclear. Drawing on the Stereotype Content Model and social cognitive theory, this study (N = 406) examined whether perceived warmth...

Modern land protection and biodiversity conservation depend greatly on the application of land trust. With the accelerated development of land trust organizations, the land trust has become the most effective land conservation method. Land trusts hav...

Digital food interfaces increasingly enable brands to foreground decision-relevant information at the point of choice, including attributes that may disadvantage a focal product. This emerging practice raises a counterintuitive question: can voluntar...

We introduce TrustShare, a novel blockchain-based framework designed to enable secure, privacy-preserving, and trust-aware cyber threat intelligence (CTI) sharing across organizational boundaries. Leveraging Hyperledger Fabric, the architecture suppo...

Green FinTech involves facilitating sustainable payments, banking, and investment; nevertheless, it is subject to consumer trust and perceptions of ‘green’ value. The literature on this topic is fragmented, with information systems litera...

This article analyses journalistic decisions in the face of disinformation, focusing on the case of Vaza Jato in Brazil. Drawing on a mixed-methods approach—combining critical discourse analysis of online articles with semi-structured interview...

The importance of project governance in curbing opportunistic behavior (OB) has been clearly established in the project literature. Although contract governance and trust are considered critical factors that explain project governance, there is a lac...

Digital banking has become part of everyday life in Aotearoa–New Zealand, offering convenience but also raising questions of trust, security, and long-term commitment. This study examines how service quality, security and privacy, user experien...

As intelligent systems become decision-support tools in the architecture, engineering, and construction (AEC) industry, establishing human–AI trust is critical. However, in engineering consulting, the psychological mechanisms underlying trust f...

Generative artificial intelligence has changed the conditions under which users encounter and evaluate machine-produced communication. In systems based on large language models, conversational output is no longer merely functional; it can be fluent,...

AI recommendation assistants increasingly provide quasi-advisory support in online health-product shopping, yet little is known about how their expressions of uncertainty shape consumer decisions. Drawing on the stimulus–organism–response...

The collective efforts of various social actors from different sectors have contributed to climate change mitigation. Identifying the important antecedents of collaborative behavior to address climate change helps us understand the underlying process...

Conditional automated driving delegates routine control to automation while keeping drivers responsible for supervision and timely takeovers. In this context, safety and usability hinge on calibrated trust, a state between overtrust and distrust that...

The COVID-19 pandemic accelerated a broader crisis of epistemic authority in medicine, fostering the emergence of refused-knowledge communities as socially credible alternatives to official healthcare. This study examines the sociocognitive factors a...

As Artificial Intelligence (AI) technologies increasingly mediate service encounters in tourism, understanding how AI-enabled interactions shape tourist trust has become a pressing issue. Drawing on social exchange theory and justice theory, this stu...

Artificial intelligence (AI) agents increasingly need credentials such as application programming interface (API) keys and Secure Shell (SSH) credentials, but placing those secrets in the agent process exposes them to prompt injection, tool misuse, a...

AI-driven personalization has become an important mechanism in interactive digital marketing, yet its influence on consumers’ online purchase intention remains insufficiently understood. Situated within the institutional context of digital plat...

Air pollution has been shown to have detrimental effects on physical and mental health, yet little is known about how air pollution affects psychosocial functioning in everyday life. We conducted three studies that utilized experimental methods and w...

In an era where digital ecosystems transcend national boundaries, TikTok has emerged as a globally influential platform, reshaping international marketing strategies. This study examines the factors influencing Thai consumers’ purchase intentio...

The rapid advancement of artificial intelligence (AI), particularly generative models, has enabled the creation of highly realistic deepfake content, significantly transforming the digital media landscape. While these technologies offer innovative ap...

In the current study, the authors looked at how companies’ corporate social responsibility (CSR) initiatives affect their reputation in the community using the stakeholder theory. More specifically, it is claimed that CSR initiatives with a par...

Disaster preparedness depends not only on hazard awareness but also on how individuals relate to institutions, evaluate risk information, interpret threats, and translate those interpretations into protective action. This study develops an integrativ...

Algorithmic explanations may inform consumer evaluation, but understanding a rationale and trusting its source are distinct judgments. Drawing on Signaling Theory, this study develops a conditional framework in which explanations provide useful infor...

Drawing on the Stimulus–Organism–Response (S-O-R) framework, this study examines how consumers’ perceptions of information quality, personalization, explainability, and responsiveness are associated with purchase intention through t...

The rapid expansion of remote work following the COVID-19 pandemic has necessitated the development of more robust and secure endpoint device security solutions. Companies have begun to adopt the zero trust security concept as an alternative to tradi...

Financial capabilities may support effective financial management behaviour, but their relationship with behaviour may depend on individuals’ trust in financial institutions. This study examines whether institutional trust moderates the relatio...

Artificial intelligence (AI) is transforming fashion e-commerce through personalized recommendations, virtual try-on, size suggestions, and algorithmic decision support. This study examines AI-driven fit confidence as a fashion-specific mechanism lin...