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Pragmatic Interoperability for Human–Machine Value Creation in Agri-Food Supply Chains Inf. Syst. Front. (IF 6.9) Pub Date : 2025-02-10 Raymond Obayi, Sonal Choudhary, Rakesh Nayak, Ramanjaneyulu GV
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
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Does Culture Affect Post-Adoption Privacy Concerns of Mobile Cloud Computing App Users? Insights from the US, the UK, and India Inf. Syst. Front. (IF 6.9) Pub Date : 2025-02-05 Hamid Reza Nikkhah, Frederic Schlackl, Rajiv Sabherwal
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
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Artificial Intelligence in the Age of Uncertainty Inf. Syst. Front. (IF 6.9) Pub Date : 2025-02-05 A. Michael Spence, Anurag Behar, Arjun Jayadev
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Intelligent Decision Support Systems: An Analysis of the Literature and a Framework for Development Inf. Syst. Front. (IF 6.9) Pub Date : 2025-02-03 Gerald Onwujekwe, Heinz Roland Weistroffer
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
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How Does the Color Palette Affect the Pricing of Abstract Paintings? Inf. Syst. Front. (IF 6.9) Pub Date : 2025-01-29 Maksim Borisov, Valeria Kolycheva, Alexander Semenov, Dmitry Grigoriev
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
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eXtended Reality and Artificial Intelligence in Medicine and Rehabilitation Inf. Syst. Front. (IF 6.9) Pub Date : 2025-01-29 Tomas Krilavičius, Lucio Tommaso De Paolis, Valerio De Luca, Josef Spjut
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
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Social Entrepreneurial Marketing and Innovation in B2B Services: Building Resilience with Explainable Artificial Intelligence Inf. Syst. Front. (IF 6.9) Pub Date : 2025-01-25 Femi Olan, Thanos Papadopoulos, Konstantina Spanaki, Uchitha Jayawickrama
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
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Is Cybersecurity a Social Responsibility? Inf. Syst. Front. (IF 6.9) Pub Date : 2025-01-15 Waqas Nawaz Khan, Jae Kyu Lee, Shan Liu
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
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Intelligent Network Element: A Programmable Switch Based on Machine Learning to Defend Against DDoS Attacks Inf. Syst. Front. (IF 6.9) Pub Date : 2025-01-14 Jingfu Yan, Huachun Zhou, Weilin Wang
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
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Can Gamification Foster Trust-Building in Human-Robot Collaboration? An Experiment in Virtual Reality Inf. Syst. Front. (IF 6.9) Pub Date : 2025-01-13 Marc Riar, Mareike Weber, Jens Ebert, Benedikt Morschheuser
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
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Sustainable Development Through Technological Innovations and Data Analytics Inf. Syst. Front. (IF 6.9) Pub Date : 2025-01-10 Antoine Harfouche, Mohammad I. Merhi, Abdullah Albizri, Denis Dennehy, Jason Bennett Thatcher
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
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Examination of Polarization in Social Media in Aggressor-Oriented and Victim-Oriented Discourse Following Vigilantism Inf. Syst. Front. (IF 6.9) Pub Date : 2025-01-09 Shalini Kapali Kurumathur, Paras Bhatt, Rohit Valecha, Govind Hariharan, H. Raghav Rao
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
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Exploring Pure 4G Diffusion in India and its Connect with Human Development and Urbanization Inf. Syst. Front. (IF 6.9) Pub Date : 2025-01-08 Ashutosh Jha, Debashis Saha
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
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Sustainable Development and Corporate Profitability: Data Mining Approach Inf. Syst. Front. (IF 6.9) Pub Date : 2025-01-08 Homeyra Khatami, Neda Abdolvand, Saeid Homayoun, Saeedeh Rajaei Harandi
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
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Home Sweet Smart Home: Enhancing Consumer Valuation and Purchase Intention of Smart Home Technologies (SHTs) for Societal Value Inf. Syst. Front. (IF 6.9) Pub Date : 2025-01-04 Imed Ben Nasr, Ibtissame Abaidi, Lisa Thomas
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
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Improving a Mirror-based Healthcare System for Real-time Estimation of Vital Parameters Inf. Syst. Front. (IF 6.9) Pub Date : 2025-01-04 Gabriella Casalino, Giovanna Castellano, Vincenzo Pasquadibisceglie, Gianluca Zaza
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
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Investigating Drivers of Customer Experience with Virtual Conversational Agents Inf. Syst. Front. (IF 6.9) Pub Date : 2025-01-03 Trong Huu Nguyen, Rohit H. Trivedi, Kyoko Fukukawa, Samuel Adomako
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
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Emotional and Informational Dynamics in Question-Response Pairs in Online Health Communities: A Multimodal Deep Learning Approach Inf. Syst. Front. (IF 6.9) Pub Date : 2025-01-03 Mohsen Jozani, Jason A Williams, Ahmed Aleroud, Sarbottam Bhagat
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
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Features Selection for Credit Risk Prediction Problem Inf. Syst. Front. (IF 6.9) Pub Date : 2025-01-03 Ines Gasmi, Sana Neji, Salima Smiti, Makram Soui
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
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Agenda Formation and Prediction of Voting Tendencies for European Parliament Election using Textual, Social and Network Features Inf. Syst. Front. (IF 6.9) Pub Date : 2024-12-23 Gautam Kishore Shahi, Ali Sercan Basyurt, Stefan Stieglitz, Christoph Neuberger
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,
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Hyperledger Fabric-Powered Network Slicing Handover Authentication Inf. Syst. Front. (IF 6.9) Pub Date : 2024-12-21 Igugu Tshisekedi Etienne, Muhammad Firdaus, Cho Nwe Zin Latt, Siwan Noh, Kyung-Hyune Rhee
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
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Unfreezing the Freelancers: Investigating the Strategy of Digital Platform-Based Instant Messaging Communication in Increasing Freelancers’ Response in Gig Economy Inf. Syst. Front. (IF 6.9) Pub Date : 2024-12-12 Baile Lu, La Ta, Hongyan Dai, Xun Xu, Wanfeng Yan, Zhiyu Zhang
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
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From Artificial Intelligence to Augmented Intelligence: A Shift in Perspective, Application, and Conceptualization of AI Inf. Syst. Front. (IF 6.9) Pub Date : 2024-12-03 Aaron M. French, J. P. Shim
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
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Unraveling Prosumption Behavior for Online Reviews during Environmental Uncertainty: A Stimulus-Response Perspective Inf. Syst. Front. (IF 6.9) Pub Date : 2024-12-02 Manisha Rathi, Adrija Majumdar, Sawan Rathi
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
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Investigating Learning Join Order Optimization Strategies for Rule-based Data Engines Inf. Syst. Front. (IF 6.9) Pub Date : 2024-11-22 Antonios Karvelas, Yannis Foufoulas, Alkis Simitsis, Yannis Ioannidis
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
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A Fine-grained Classification Method for Cross-domain Policy Texts Based on Instruction Tuning Inf. Syst. Front. (IF 6.9) Pub Date : 2024-11-22 Jingyun Sun, Xinlong Chen, Kaiyuan Zheng, Yan Zan
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
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What Affects User Experience of Shared Mobility Services? Insights from Integrating Signaling Theory and Value Framework Inf. Syst. Front. (IF 6.9) Pub Date : 2024-11-21 Bibaswan Basu, M. P. Sebastian, Arpan Kumar Kar
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
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AI in the Organizational Nexus: Building Trust, Cementing Commitment, and Evolving Psychological Contracts Inf. Syst. Front. (IF 6.9) Pub Date : 2024-11-15 Muhammad Farrukh Moin, Abhishek Behl, Justin Zuopeng Zhang, Amit Shankar
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
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A Grey Combined Prediction Model for Medical Treatment Risk Analysis during Pandemics Inf. Syst. Front. (IF 6.9) Pub Date : 2024-11-11 R. Rajesh
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Stress Level Assessment by a Multi-Parametric Wearable Platform: Relevance of Different Physiological Signals Inf. Syst. Front. (IF 6.9) Pub Date : 2024-11-06 Beatrice De Marchi, Endi Agovi, Andrea Aliverti
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Classifying DSS Research – A Theoretical Framework Inf. Syst. Front. (IF 6.9) Pub Date : 2024-11-04 Rahul Kumar, Rahul Thakurta
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Look Before you Leap! The Impact of Trust, Uncertainty, and Topics of Reviews on Search and Sales of Cars Inf. Syst. Front. (IF 6.9) Pub Date : 2024-10-31 Madhuri Prabhala, Indranil Bose
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The impact of information privacy concerns on information systems use behaviors in non-volitional surveillance contexts: A moderated mediation approach Inf. Syst. Front. (IF 6.9) Pub Date : 2024-10-30 Jeewon Cho, Insu Park
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Toward the Understanding of the Appropriation of Compliance Support System in Organizations Inf. Syst. Front. (IF 6.9) Pub Date : 2024-10-24 Sang-Soo Kim, Yong Jin Kim
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AI’s Impact on Sustainability Targets: A Cross-Country NCA and fsQCA Study Inf. Syst. Front. (IF 6.9) Pub Date : 2024-10-24 Pramukh Nanjundaswamy Vasist, Satish Krishnan
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Problem of Plenty? Understanding the Impact of Choice and Information Overload on Airbnb Bookings Inf. Syst. Front. (IF 6.9) Pub Date : 2024-10-21 V Athi Karthick, Adrija Majumdar, Indranil Bose
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Blockchain: Exploring its Impact on the Business Models of Australian Accounting Firms Inf. Syst. Front. (IF 6.9) Pub Date : 2024-10-19 Maria Cadiz Dyball, Ravi Seethamraju
This paper reports on a study that investigated how the business models of Australian accounting firms are impacted by audit clients using blockchain technology. Semi-structured interviews with a range of stakeholders including audit partners from big-4 accounting firms reveal that firms are gradually adapting their business models by offering value propositions that involve efficiency, complementarities
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Navigating in Turbulent Times: Using Social Media to Examine Small and family-Owned Business Topics and Sentiments during the COVID-19 Crisis Inf. Syst. Front. (IF 6.9) Pub Date : 2024-10-18 Shaun Meric Menezes, Ashok Kumar, Shantanu Dutta
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FGI-CogViT: Fuzzy Granule-based Interpretable Cognitive Vision Transformer for Early Detection of Alzheimer’s Disease using MRI Scan Images Inf. Syst. Front. (IF 6.9) Pub Date : 2024-10-15 Anima Pramanik, Soumick Sarker, Sobhan Sarkar, Indranil Bose
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The Impact of Cultural Dimensions and Quality of Life on Smartphone Addiction and Employee Performance: The Moderating Role of Quality of Life Inf. Syst. Front. (IF 6.9) Pub Date : 2024-10-02 Khaled Alshare, Murad Moqbel, Mohammad I. Merhi, Valerie Bartelt, Maliha Alam
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Factors Affecting Big Data Analytics Adoption in Small and Medium Enterprises Inf. Syst. Front. (IF 6.9) Pub Date : 2024-09-30 Rawan Babalghaith, Amer Aljarallah
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Augmented Reality to Assist in the Diagnosis of Temporomandibular Joint Alterations Inf. Syst. Front. (IF 6.9) Pub Date : 2024-09-27 Laura Cercenelli, Nicolas Emiliani, Chiara Gulotta, Mirko Bevini, Giovanni Badiali, Emanuela Marcelli
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Understanding the Drivers of Industry 4.0 Technologies to Enhance Supply Chain Sustainability: Insights from the Agri-Food Industry Inf. Syst. Front. (IF 6.9) Pub Date : 2024-09-26 Guoqing Zhao, Xiaoning Chen, Paul Jones, Shaofeng Liu, Carmen Lopez, Leonardo Leoni, Denis Dennehy
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Combating Online Malicious Behavior: Integrating Machine Learning and Deep Learning Methods for Harmful News and Toxic Comments Inf. Syst. Front. (IF 6.9) Pub Date : 2024-09-24 Szu-Yin Lin, Shih-Yi Chien, Yi-Zhen Chen, Yu-Hang Chien
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Towards Sustainability of AI – Identifying Design Patterns for Sustainable Machine Learning Development Inf. Syst. Front. (IF 6.9) Pub Date : 2024-09-16 Daniel Leuthe, Tim Meyer-Hollatz, Tobias Plank, Anja Senkmüller
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Mobile Technology Addiction Effect on Risky Behaviours: the Moderating Role of Use-Regulation Inf. Syst. Front. (IF 6.9) Pub Date : 2024-09-17 Makafui Nyamadi, Ofir Turel
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Innovative Diagnostic Approaches for Predicting Knee Cartilage Degeneration in Osteoarthritis Patients: A Radiomics-Based Study Inf. Syst. Front. (IF 6.9) Pub Date : 2024-09-12 Francesca Angelone, Federica Kiyomi Ciliberti, Giovanni Paolo Tobia, Halldór Jónsson, Alfonso Maria Ponsiglione, Magnus Kjartan Gislason, Francesco Tortorella, Francesco Amato, Paolo Gargiulo
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A Conceptual Framework for Digital Twin in Healthcare: Evidence from a Systematic Meta-Review Inf. Syst. Front. (IF 6.9) Pub Date : 2024-09-12 Giulia Pellegrino, Massimiliano Gervasi, Mario Angelelli, Angelo Corallo
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Adoption of Blockchain E-Voting Service: Digital Literacy as a Mediating Mechanism Inf. Syst. Front. (IF 6.9) Pub Date : 2024-09-07 Mousa Albashrawi, Amir Zaib Abbasi, Lin Li, Umair Rehman
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Mining Patient-Generated Content for Medication Relations and Transition Network to Predict the Rankings and Volumes of Different Medications Inf. Syst. Front. (IF 6.9) Pub Date : 2024-09-07 Yuanyuan Gao, Anqi Xu, Paul Jen-Hwa Hu
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Machine Learning-Based Cooperative Clustering for Detecting and Mitigating Jamming Attacks in beyond 5G Networks Inf. Syst. Front. (IF 6.9) Pub Date : 2024-09-06 So-Eun Jeon, Sun-Jin Lee, Yu-Rim Lee, Heejung Yu, Il-Gu Lee
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Leveraging Action Knowledge from Product Reviews to Enhance Human-Centered Recommender Systems: A Knowledge Graph-Based Framework Inf. Syst. Front. (IF 6.9) Pub Date : 2024-09-03 Fouad Zablith
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Protection or Cynicism? Dual Strategies for Coping with Privacy Threats Inf. Syst. Front. (IF 6.9) Pub Date : 2024-08-30 Lu Yu, Li He, Jian Du, Xiaobo Wu
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Class Imbalance Problem: A Wrapper-Based Approach using Under-Sampling with Ensemble Learning Inf. Syst. Front. (IF 6.9) Pub Date : 2024-08-29 Riyaz Sikora, Yoon Sang Lee
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Understanding Artificial Intelligence Diffusion through an AI Capability Maturity Model Inf. Syst. Front. (IF 6.9) Pub Date : 2024-08-23 Hans Fredrik Hansen, Elise Lillesund, Patrick Mikalef, Νajwa Altwaijry
The recent advancements in the field of Artificial Intelligence (AI) have sparked a renewed interest in how organizations can potentially leverage and gain value from these technologies. Despite the considerable hype around AI, recent reports indicate that a very small number of organizations have managed to successfully implement these technologies in their operations. While many early studies and
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When Your Thing Won’t Behave: Security Governance in the Internet of Things Inf. Syst. Front. (IF 6.9) Pub Date : 2024-08-22 Martin Brennecke, Gilbert Fridgen, Jan Jöhnk, Sven Radszuwill, Johannes Sedlmeir
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How Does Performance-Based Monetary Incentive Influence Cyberloafing’s Effects on Task Performance? Inf. Syst. Front. (IF 6.9) Pub Date : 2024-08-08 Jungwon Kuem, Yixin Zhang
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Dynamic Capabilities for the Twin Transformation Climb: A Capability Maturity Model Inf. Syst. Front. (IF 6.9) Pub Date : 2024-08-08 Katharina Breiter, Carlotta Crome, Anna Maria Oberländer, Feline Schnaak
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Impact of Inter and Intra Organizational Factors in Healthcare Digitalization: a Conditional Mediation Analysis Inf. Syst. Front. (IF 6.9) Pub Date : 2024-08-07 Prasanta Kumar Pattanaik, Shivam Gupta, Ashis K. Pani, Urmii Himanshu, Ilias O. Pappas
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Impact of Perceived Barriers of Electronic Health Information Exchange on Physician’s Use of EHR: A Normalisation Process Theory Approach Inf. Syst. Front. (IF 6.9) Pub Date : 2024-08-07 Avijit Sengupta, Anik Mukherjee, Debra VanderMeer