In the age of artificial intelligence (AI) and data-hungry applications, privacy-enhancing technologies (PETs) offer a way for individuals to limit data collection and processing by these applications. Yet, the adoption of PETs remains low and user-focused research on adoption predictors is limited. In this work, we use the unified theory of acceptance and use of technology 2 (UTAUT2) to study the

As digital transformation progresses, research broadens its perspective to not only focus on the positive effects but also on the adverse impacts of the increasing use of digital technologies. Against this backdrop, the issue of being responsibly digital moves to the foreground in research and practice. The need for further research on the conceptualization of digital responsibility and its role in

The notion of “Responsible Digital” emphasises the ethical and responsible design and use of digital technologies. Having the knowledge and skills to navigate the digital world safely, wisely and securely becomes critical when digital literacy and access to technologies are limited and livelihood possibilities are precarious such as in the context of vulnerable migrants. We use the Responsible Research

Cybersecurity incident response (CSIR) is paramount for organizational resilience. At its core, analysts undertake a cognitively demanding process of data analytics to correlate data points, identify patterns, and synthesize diverse information. Recently, artificial intelligence (AI) based solutions have been utilized to streamline CSIR workflows, notably with an increasing focus on explainable AI

Since Taiwan's economy is dominated by small and medium-sized enterprises, the formation of virtual teams is even more important for Taiwanese companies due to the impact of COVID- 19. Hence, this study draws on the virtual team climate and the theory of planned behaviour (TPB). However, it also adds pluralistic ignorance (which stems from social cognitive bias arising from universal behavioural adherence

Government and public sector organizations focus on inclusiveness, transparency, security, and effectiveness. However, amid the ongoing deregulation and competition with private sectors, there are compulsions to leverage digital technologies for improving economic performance and customer satisfaction. In the above context, little is known about the role played by organizational capabilities in technology-led

Data uncertainty is a challenging problem in machine learning. Distributionally robust optimization (DRO) can be used to model the data uncertainty. Based on DRO, a new support vector machines with double regularization terms and double margins can be derived. The proposed model can capture the data uncertainty in a probabilistic way and perform automatic feature selection for high dimensional data

Drawing on social capital theory, this study explores the antecedents of AI readiness in Small and Medium-sized Enterprises (SMEs) operating in resource-constrained environments, emphasising capabilities that mitigate cyber risks, and foster value construction in SMEs. Specifically, the study examines how structural, cognitive, and relational social capital fosters cyber resilience and contributes

A rich body of research examines the cybersecurity behavior of employees, with a particular focus on explaining the reasons why employees comply with (or violate) organizational cybersecurity policies. However, we posit that this emphasis on policy compliance is susceptible to several notable limitations that could lead to inaccurate research conclusions. In this research essay, we consider the limitations

This study explores AI-enabled local public service provisioning, especially dilemmas of the mutual and meaningful development process. Theoretically, it builds on the current literature on AI implementation in the public sector and relates it to the theorisations of mutuality and meaningfulness. Empirically, it examines the experiences of public agents in a qualitative case study of chatbot development

Cybersecurity is now critically important in an increasingly digitized and connected world. In addition to required digital security, individuals and organisations pursue multiple other objectives under binding resource constraints. Understanding how they make decisions in the face of these trade-offs is important for both research and teaching purposes. Games can create effective and exciting learning

Given a data set and one single object known to be anomalous beforehand, the outlier explanation problem consists in explaining the abnormality of the input object with respect to the data set population. The approach pursued in this paper to solve the above task consists in finding an explanation, namely, a piece of information encoding the characteristics that locate the anomalous data object far

This paper examines the evolving dynamics of human-AI interaction, emphasizing the ethical challenges and responsibility gaps that emerge as AI technologies become more autonomous and integrated into society and business. We analyze, utilizing a systematic literature review, how various ethical views influence our understanding of morality and responsibility in human-AI collaborations. Deontological

The global commitment to advancing financial inclusion (FI) relies on technology to connect underserved communities with the formal financial sector. Existing traditional technologies have made some progress, but they often fail to adapt to the unique needs of these populations. Although artificial intelligence (AI) offers new possibilities to meet these limitations, its rapid advancement has outpaced

The main objective of this study is to explore the emerging patterns in the Information Systems (IS) meta-analysis landscape by reviewing a sample of 162 studies published in IS journals and conferences covering 37 years of meta-analysis research. The findings underline the diversity of topics, bodies of knowledge, as well as theories and constructs on various levels of analysis that were examined

This study empirically examines how various digital technologies individually and collectively contribute to supply chain resilience (SCRes) in coping with major disruptions. While there is no shortage in the IS literature to study the use of digital technologies, current trend is prevailed with either the investigation of single technology or treating all deployed technologies as an undifferentiated

Research on technology adoption has focused on individual, organizational, and institutional factors, yet adoption within households in developing countries like India remains underexplored. To address this gap, we utilized a large-scale national household survey and a machine learning-based inductive approach to uncover the complex relationship between intra-household dynamics and computer adoption

This study explores the dynamics of customer loyalty in ride-hailing aggregation platforms, a burgeoning segment of the sharing economy that consolidates multiple service providers into a unified interface. Leveraging perceived value theory, we analyze the “double-edged sword” effect of same-side network externalities—how perceived customer network size impacts customer loyalty in a non-linear, inverted

Organizations continue to struggle with motivating employee compliance with information systems (IS) security protocols despite implementing technical and managerial strategies. This study examines the critical role of leadership behaviors in fostering security compliance among employees. We assert that effective leadership can significantly influence adherence to IS security controls. Grounded in

The relationship between humans and artificial intelligence has sparked considerable debate and polarized opinions. A significant area of focus in this discourse that has garnered research attention is the potential for humans and AI to augment one another in order to enhance outcomes. Despite the increasing interest in this subject, the existing research is currently fragmented and dispersed across

With the evolving realm of news propagation and the surge in social media usage, detecting and combatting fake news has become an increasingly important issue. Currently, fake news detection employs three main feature categories: news text, social context, and news images. However, most studies emphasize just one, while only a limited number incorporate image features. This study presents an innovative

Social networks are highly effective in mobilizing individuals toward collective action. However, such endeavors to rally large groups risk escalating into violent actions, eroding social unity and provoking societal unrest. The information consumption patterns vary considerably across different platforms through which it is disseminated, with platform-specific characteristics significantly impacting

The continuing, explosive developments in generative artificial intelligence (GenAI), built on large language models and related algorithms, has led to much excitement and speculation about the potential impact of this new technology. Claims include artificial intelligence (AI) being poised to revolutionize business and society and dramatically change personal life. However, it is not clear how this

We propose a method for the dynamic evaluation of the output provided by any Real Time Object Detection Algorithm. This work focuses on single object detection from video streams and the main objective is the enhancement of the process with regard to its so-called trustworthiness based on the spatial consideration of the sequence of video frames that are fed as inputs on a Convolutional Neural Network

The paper posits that in the increasingly connected digital landscape, there is a growing need to examine the scale and scope of responsible cybersecurity. In an exploratory study that involved qualitative interviews with senior cybersecurity professionals, we identify different layers of responsible cybersecurity that span across techno-centric, human-centric, organizational (intra and inter) and

The Beyond 5G (B5G) network promotes the development of all sectors of society and greatly changes our lives. To provide subscribers with better security and privacy protection, the 3rd Generation Partnership Project (3GPP) has enhanced the Non-Access Stratum (NAS) protocol for B5G. It is crucial to analyze the security of NAS protocol and confirm whether it achieves security goals. However, previous

The proliferation of generative artificial intelligence (GenAI) has disrupted academic institutions across the world, presenting transformative challenges for decision makers, and leading to questions around existing methods and practices within higher education (HE). The widespread adoption of GenAI tools and processes highlights an ongoing change to existing perceptions of the role of humans and

The symmetry of complex networks is a global property that has recently gained attention since MacArthur et al. 2008 showed that many real-world networks contain a considerable number of symmetries. These authors work with a very strict symmetry definition based on the network’s automorphism detecting mostly local symmetries in complex networks. The potential problem with this approach is that even

This study delves into the dynamics of pragmatic interoperability, focusing on the case of a digital ecosystem in India —the eKrishi platform—which combines of industry 4.0 technologies with human-centric principles. Through qualitative analysis, we unveil the motivations shaping system and business-level interoperability alignment. We found that three categories of sustainability metrics—socio-economic

Mobile cloud computing apps have become the dominant type of mobile app, providing users with many benefits but also causing privacy concerns related to data being uploaded to the cloud. Since many mobile cloud computing apps have billions of current users around the world, the role of culture in privacy after adoption is pertinent to researchers, users, and developers. This study investigates how

The spread and impact of decision support systems (DSS) have continued to gain intensity with applications in medical diagnosis, control systems, air traffic control, security systems and executive dashboards that help in strategic decision-making. As the field of machine learning (ML) continues to develop, DSS researchers have been incorporating ML techniques into DSS artifacts and this trend is growing

The valuation of artwork is a fundamental issue in cultural economics. This study examines the impact of visual elements on a painting’s price. Several characteristics are evaluated such as its intricacy, points of interest, segmentation-based features, and local color features. The study also employs theories by Itten and Kandinsky, and applies mixed-effects models to assess how these characteristics

This special issue focuses on the application of eXtended Reality (XR) technologies—comprising Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR)—and Artificial Intelligence (AI) in the fields of medicine and rehabilitation. AR provides support in minimally invasive surgery, where it visualises internal anatomical structures on the patient’s body and provides real-time feedback to

Explainable artificial intelligence (XAI) and other digital technologies are altering the nature of social entrepreneurship, marketing, and other service activities. The structures and strategies of entrepreneurs undergo radical change as a result of the impact of XAI on marketing and innovation. Despite the increased interest in business to business (B2B) literature, there are limitations on how and

Cybersecurity incidents damage not only the organizations attacked, but also society in general, harming customers and stakeholders. Through the text mining of the incident database, we observed that the impact of cybersecurity incident trends became more outward-oriented causing increased risks associated with social responsibility. Thus, this study aims to validate the potential effect of cybersecurity

The proposed native intelligent network by 6G networks has provided a boost to network security capabilities. Unlike intelligent networks built by intelligent network elements, plug-in AI applications require transmission bandwidth for traffic analysis and consume computation and storage resources of security devices. This cannot meet the real-time requirements for detecting and processing DDoS attacks

With the increasing deployment of robots to support humans in various activities, a crucial factor that has surfaced as a precondition for successful human-robot interaction (HRI) is the human’s level of trust in the robotic companion. A phenomenon that has recently shifted into the foreground for its potential to influence cognitive and affective dimensions in humans is gamification. However, there

The integration of technological innovations and data analytics into sustainable development presents an opportunity to address pressing global challenges such as climate change, resource scarcity, and social inequities. This editorial introduces the Sustainable Development Impact Through Technological Innovations and Data Analytics (SDITIDA) framework, offering a conceptual foundation for aligning

In the year 2020, two real-world vigilantism incidents invited nationwide discourses on social media: the fatal shooting of two men by Kyle Rittenhouse (an aggressor) and the murder of Ahmaud Arbery (a victim). The public engaged vigorously in social media discussions of approval or disapproval of the aggressor or victim in such vigilantism incidents. While diversity of opinions is a healthy driver

Although many countries have already forayed into 5G deployment, 4G still comprises the largest share of mobile subscribers, especially in emerging economies such as India. In this paper, we quantitatively assess the diffusion characteristics of ‘pure’ 4G mobile communication in India using popular nonlinear diffusion models, and scrutinize the association of two external factors, namely Human Development

With the expansion of business activities around the world and the importance of sustainability in various fields, corporate sustainability has become a strategic imperative for management plans and investment decision. Therefore, this study focuses on examining the contribution of sustainability variables, i.e., economic, social, and environmental (ESG), to corporates profitability at 5936 companies

Smart home technology (SHT) offers numerous economic, social, and environmental benefits, positioning it as a sustainable option for individuals and families seeking eco-friendly living solutions. Despite these advantages, adoption rates for SHT remain paradoxically low. Recognizing the ecological potential of SHT, this study investigates the psychological processes that influence the perceived sustainable

Contactless methods are widely used to measure vital signs from recorded or live videos using remote photoplethysmography (rPPG), which takes advantage of the slight skin color variation that occurs periodically on specific body regions with each blood pulse. However, existing rPPG-based solutions are typically expensive and not suitable for daily use at home for personal healthcare. To address this

Building on the perspectives of the uses & gratification (U&G) theory and stimulus-organism-response (S–O-R) model, this article develops and tests an integrative framework to examine the underlying factors influencing customers’ experiences with chatbots as a form of virtual conversational agent (VCA) in the UK and Vietnam. In addition to utilitarian and hedonic factors, anthropomorphism and social

Online health communities (OHCs) offer emotional and informational support to their users. However, past research has primarily treated these supports as separate, but they coexist in messages, making it essential to consider the emotional valence of text to understand the support being provided. This study examines how aligning questions and responses in OHCs reduces information gaps, and enhances

Credit risk assessment has drawn great interests from both researcher studies and financial institutions. In fact, classifying an applicant as defaulter or non-defaulter customer helps banks to make a reasonable decision. The classification of applicants is based on a set of historical information of past loans. Data sets for analysis may include different features, many of which may be irrelevant

As per agenda-setting theory, political agenda is concerned with the government’s agenda, including politicians and political parties. Political actors utilize various channels to set their political agenda, including social media platforms such as Twitter (now X). Political agenda-setting can be influenced by anonymous user-generated content following the Bright Internet. This is why speech acts,

Network slicing is a 5G concept that virtualizes the physical network infrastructure to accommodate multiple service requirements on the same network, where each slice manages diverse needs and ensures their coexistence. In this work, we leverage blockchain technology to strengthen the security of handover authentication (HA) processes in network slicing systems.The proposed system addresses the challenge

With the rapid development of information technology, the gig labor marketplace is fast growing, with digital platform-based instant messaging (IM) playing an important role in raising freelancers’ orders, serving the intention for the crowdsourcing platforms to increase capacity to balance supply and demand. Using a large-scale field experiment on a crowdsourcing freight platform, this study investigates

This paper provides a comprehensive examination of the ongoing debate surrounding Artificial Intelligence (AI) and its societal implications, with a particular focus on job displacement. The release of generative AI tools for public use, particularly ChatGPT, has created numerous concerns on how these tools will be used and adverse impacts on society. Augmented Intelligence has been introduced as a

Online reviews are effective information-sharing tools due to their word-of-mouth characteristics. The extant literature has considered reviews as independent variables that influence business performance, while the environmental factors shaping these reviews remain under-explored. We examine the impact of COVID-19-related environmental uncertainties on changes in review prosumption (production and

A recent trend in data management research investigates whether machine learning techniques could improve or replace core components of traditional database architectures, such as the query optimizer or selectivity and cardinality cost estimators. The preliminary approaches leverage cost-based optimizers and cost models to avoid a cold-start as they train and build learning models. In this work, we

The well-organized structure of Policy Texts (PTs) is fundamental to intelligent governance, yet most PTs lack fine-grained category labels. PTs from different domains follow different classification systems, and traditional encoder-only models cannot directly handle scenarios where the label spaces of the source and target domains differ significantly, as their output layer typically is a fixed-dimensional

Shared services using digital platforms have increasingly gained prominence in recent times. Existing studies have studied several facets of ride-sharing services, but mobile app technology’s impact on user’s experience has not been explored meticulously. We attempt to study the technological artifacts which can signal about the capability of the service and thereby, reducing the informational asymmetry

Since the Industrial Revolution, significant technological advancements have revolutionized various manual processes and workflows entrenched for decades. Artificial Intelligence (AI) offers similar transformative potential across diverse industrial and social domains. The rapid pace of change in the AI-driven digital age presents unprecedented opportunities and challenges for sustained progress. Given