Farid Gasmi, Paul Noumba Um, Laura Recuero Virto, Peter Saba
{"title":"Digital Literacy, Sustainable Development and Radiation Regulation: Policy and Information Systems Implications","authors":"Farid Gasmi, Paul Noumba Um, Laura Recuero Virto, Peter Saba","doi":"10.1007/s10796-024-10488-9","DOIUrl":"https://doi.org/10.1007/s10796-024-10488-9","url":null,"abstract":"<p>This paper explores the convergence of development economics, regulatory policies, and public health considerations within the field of Information Systems (IS) research, focusing specifically on 5G and 6G mobile technologies. Despite the widespread deployment of these technologies and their potential health implications, there is a limited understanding in IS literature on why countries adopt varying thresholds for radiation regulation. Our study, analyzing data from 124 countries, uncovered an inverted U-shaped relationship between digital literacy and the rigidity of radiation regulation. This finding reveals that nations with lower digital literacy levels tend to enforce stricter regulations, whereas those with higher literacy levels adopt more relaxed policies. By highlighting how digital literacy, a critical aspect of the digital divide, significantly influences regulatory frameworks in telecommunications, this study contributes to filling the gap in IS research. This underscores the necessity of informed and transparent regulatory decision making, especially in countries with diverse levels of digital literacy. Calling for a multidisciplinary approach to policy formulation, our work enriches the broader discourse in IS research, underlining the pivotal role of digital literacy in shaping both the access and regulatory landscapes of emerging technologies.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"46 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140845470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Can Industry 5.0 Develop a Resilient Supply Chain? An Integrated Decision-Making Approach by Analyzing I5.0 CSFs","authors":"Rahul Sindhwani, Abhishek Behl, Ramandeep Singh, Sushma Kumari","doi":"10.1007/s10796-024-10486-x","DOIUrl":"https://doi.org/10.1007/s10796-024-10486-x","url":null,"abstract":"<p>Advances in science and technology act as the gatekeepers of a sustainable future where a stable environment helps generate the power for innovation. Supply chains are the messengers of this euphoric future. However, when the messengers and the gatekeepers are not in sync, the flow of information is bound to stop and bring about a chaotic turn of events, the repercussions of which can be felt through the years. The same was the case with the COVID-19 pandemic, where the lack of man–machine collaboration in Industry 4.0 and the inability of firms to advance their supply chains technologically left them exposed and vulnerable to the disruptions created by the pandemic. It was an eye-opener for companies worldwide as the supply chains collapsed and production reached a standstill. Thus, a stance arises to re-evaluate the resilience capabilities of the supply chains and rethink the priorities for achieving sustainable and resilient supply chain practices. We also suggest injecting industry 5.0 technologies to meet the re-assessed priorities. For this, we have identified the criteria and CSFs of supply chain resilience using the PRISMA 2020 statement and subsequently analyzed them using PF-AHP (for finding criteria weights), m-TISM (to interpret the interrelationships of the CSFs), PF-CoCoSo (to rank the CSFs) and sensitivity analysis (to check the robustness). The results suggest cost-effectiveness as the top weighted criteria and disruption awareness as the highest priority CSF for achieving supply chain resilience.\u0000</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"376 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140642544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andrea Apicella, Pasquale Arpaia, Simone Barbato, Giovanni D’Errico, Giovanna Mastrati, Nicola Moccaldi, Ersilia Vallefuoco, Selina Christin Wriessnegger
{"title":"Domain Adaptation for Fear of Heights Classification in a VR Environment Based on EEG and ECG","authors":"Andrea Apicella, Pasquale Arpaia, Simone Barbato, Giovanni D’Errico, Giovanna Mastrati, Nicola Moccaldi, Ersilia Vallefuoco, Selina Christin Wriessnegger","doi":"10.1007/s10796-024-10484-z","DOIUrl":"https://doi.org/10.1007/s10796-024-10484-z","url":null,"abstract":"<p>Three levels of fear of heights were detected in subjects with different severities of acrophobia, based on the electroencephalographic (EEG) and electrocardiographic (ECG) signals. The study aims to demonstrate the feasibility of a data-fusion-based method for real-time assessment of the fear of heights intensity to integrate into adaptive Virtual Reality Exposure Therapy for acrophobia. The generalization performance of classification tasks on fear states is improved by exploiting both trait-based clustering and Domain Adaptation methods. Participants were gradually exposed to increasing height levels through a Virtual Reality (VR) scenario representing a canyon. The initial severity of fear of heights, the level of distress at each height, and the anxiety level before and after the exposure were assessed through the Acrophobia Questionnaire, the Subjective Unit of Distress, and the State and Trait Anxiety Inventory, respectively. The Simulator Sickness Questionnaire was administered to exclude possible motion sickness interference in the experiment. The EEG and ECG signals were acquired through a 32-channel headset and 1 Lead ECG derivation during the exposure to the eliciting VR scenario. Four classifiers (i.e. Support Vector Machines, Deep Neural Networks, Random Forests, and <i>k</i>-Nearest Neighbors) were adopted in the experimental environment. Preliminary tests were performed in a within-subject experiment, achieving the best classification accuracy of <span>(87.1 % pm 7.8 %)</span> with a Deep Neural Network. As the cross-subject approach is concerned, three strategies, namely Domain Adaptation (DA), data fusion (combining EEG with ECG), and participant clustering (based on the acrophobia severity), were evaluated. DA resulted in the most effective strategies by determining an improvement of more than 20 % in classification accuracy. Random Forest performed the best classification accuracy for the severe acrophobia cluster with a mean of <span>(63.6 %)</span> and a standard deviation of <span>( 13.4 %)</span> over three classes by exploiting Stratified Normalization.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"18 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140547936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Addressing Knowledge Gaps in ITSM Practice with “Learning Digital Commons”: A Case Study","authors":"Muralidharan Ramakrishnan, Shirley Gregor, Anup Shrestha, Jeffrey Soar","doi":"10.1007/s10796-024-10483-0","DOIUrl":"https://doi.org/10.1007/s10796-024-10483-0","url":null,"abstract":"<p>Information Technology Service Management (ITSM) constitutes a suite of specialized organizational capabilities aimed at optimizing the value derived from IT services. The practice of ITSM encompasses a range of complementary frameworks. However, the practitioner community lacks a comprehensive, holistic understanding of the knowledge embedded within these frameworks.</p><p>Addressing this gap, we developed <i>Service-Symphony</i>, an instance of a Learning Digital Commons (LEDICO) designed to empower the ITSM community with a holistic knowledge-learning experience, with design principles based on epistemic logic, cognitive constructivist learning theory and cognitive schema theory. Leveraging the Design Science Research (DSR) paradigm, we systematically constructed and assessed Service-Symphony. Evaluation tools included surveys and web analytics. Survey responses revealed a consensus among participants, with the majority expressing alignment with the four design principles underpinning Service-Symphony. Web analytics data further indicated significant engagement, with 148,796 users accessing Service-Symphony between April 2019 and September 2022.</p><p>This paper contributes both to theory and practice. Theoretical contributions include the establishment of a conceptual model and a multi-grounded design theory based on cognitive constructivist learning, cognitive schema and epistemic logic. The practical contributions include e the deployment of a public domain ITSM digital commons tailored to the specific needs of the ITSM community, which is also used as supplementary learning resource for ITSM students.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"38 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140291712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Implementation of Additive Manufacturing in the Healthcare Supply Chain for Circular Economy Goals: Paradoxical Tensions and Solutions from an Industry 5.0 Perspective","authors":"","doi":"10.1007/s10796-024-10482-1","DOIUrl":"https://doi.org/10.1007/s10796-024-10482-1","url":null,"abstract":"<h3>Abstract</h3> <p>This study addresses the paradoxical tensions that arise during additive manufacturing (AM) implementation for circular economy goals in the healthcare sector. Using the lens of paradox theory, this study identifies four competing priorities that stakeholders may encounter while adopting AM. Focus group discussions among 12 industry experts from the healthcare supply chain were conducted to verify the paradoxes. Semi-structured interviews were then conducted with 10 industry experts to derive the solutions to manage these tensions from an Industry 5.0 perspective to achieve the full benefits of AM. This study expands paradox theory into the AM literature and provides a novel ‘both/and’ perspective (i.e. a pluralistic rather than a dualistic perspective) to look at emerging tensions encountered while implementing AM in the healthcare sector. This perspective will help decision-makers realise that these tensions can be managed over time to turn them into creative, rather than destructive, forces.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"103 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140188803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Divinus Oppong-Tawiah, Xerxes Minocher, Farzam Boroomand, Jane Webster
{"title":"Meaningful Work as an Ethical Approach: Shaping the Next Generation of Organizational Gamification","authors":"Divinus Oppong-Tawiah, Xerxes Minocher, Farzam Boroomand, Jane Webster","doi":"10.1007/s10796-024-10478-x","DOIUrl":"https://doi.org/10.1007/s10796-024-10478-x","url":null,"abstract":"<p>Gamified information systems have become widespread in organizations along with unintended ethical consequences. In parallel, recent advances in artificial intelligence and their promise for gamification raise new ethical concerns in the workplace. Building on a generational review of research progress in the field, we draw from work design, affordances, and value-sensitive design literatures to develop a theoretical framework and a related ethical design approach to encourage more meaningful work with organizational gamification. Our frameworks specify how game elements and their associated affordances can help transition organizational gamification from an add-on to an integrated part of instrumental work systems. We discuss how tying an ethical reflection into a historically informed view of progress in the field overcomes limitations in previous generations of gamification research and helps to resolve long-standing as well as emerging ethical concerns.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"141 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140164809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhuo Chen, Chuda Xiao, Yang Liu, Haseeb Hassan, Dan Li, Jun Liu, Haoyu Li, Weiguo Xie, Wen Zhong, Bingding Huang
{"title":"Comprehensive 3D Analysis of the Renal System and Stones: Segmenting and Registering Non-Contrast and Contrast Computed Tomography Images","authors":"Zhuo Chen, Chuda Xiao, Yang Liu, Haseeb Hassan, Dan Li, Jun Liu, Haoyu Li, Weiguo Xie, Wen Zhong, Bingding Huang","doi":"10.1007/s10796-024-10485-y","DOIUrl":"https://doi.org/10.1007/s10796-024-10485-y","url":null,"abstract":"<p>Detecting and accurately locating kidney stones, which are common urological conditions, can be challenging when using imaging examinations. Therefore, the primary objective of this research is to develop an ensemble model that integrates segmentation and registration techniques. This model aims to visualize the inner structure of the kidney and accurately identify any underlying kidney stones. To achieve this, three separate datasets, namely non-contrast computed tomography (CT) scans, corticomedullary CT scans, and CT excretory scans, are annotated to enhance the three-dimensional (3D) reconstruction of the kidney’s complex anatomy. Initially, the research focuses on utilizing segmentation models to identify and annotate specific classes within the annotated datasets. Subsequently, a registration algorithm is employed to align and combine the segmented results, resulting in a comprehensive 3D representation of the kidney’s anatomical structure. Three cutting-edge segmentation algorithms are employed and evaluated during the segmentation phase, with the most accurate segments being selected for the subsequent registration process. Ultimately, the registration process successfully aligns the kidneys across all three phases and combines the segmented labels, producing a detailed 3D visualization of the complete kidney structure. For kidney segmentation, Swin UNETR exhibited the highest Dice score of 95.21%; for stone segmentation, ResU-Net achieved the highest Dice score of 87.69%. Regarding Artery, Cortex, and Medulla segmentation, ResU-Net and 3D U-Net show comparable performance with similar Dice scores. Considering the Collecting System and Parenchyma, ResU-Net and 3D U-Net demonstrate similar performance in Dice scores. In conclusion, the proposed ensemble model shows potential in accurately visualizing the internal structure of the kidney and precisely localizing kidney stones. This advancement improves the diagnosis process and preoperative planning in percutaneous nephrolithotomy.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"19 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140142066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Multi-objective Feature Selection Method Considering the Interaction Between Features","authors":"","doi":"10.1007/s10796-024-10481-2","DOIUrl":"https://doi.org/10.1007/s10796-024-10481-2","url":null,"abstract":"<h3>Abstract</h3> <p>Feature selection (FS) is one of the major tasks in data cleansing step in machine learning. However, multi-objective FS is more challenging because it tries to optimize two conflicting objectives, namely minimizing the feature set and classification error. In this way, evolutionary algorithms are promising solutions aimed to obtain more reliable Pareto fronts. However, unfortunately they suffer from consuming much time due to exploration in a large search space. Another issue encountered in multi-objective FS approaches is related to the correlation between features. This challenge arises because choosing such features reduces the performance of the classification. To address these challenges, we introduce a multi-objective FS approach that makes several significant contributions. First, the proposed method deals with the correlation between features through a novel probability structure. Secondly, it relies on the Pareto Archived Evolution Strategy (PAES) method, which offers many advantages, including simplicity and its ability to explore the solution space at an acceptable speed. We enhance the PAES structure in a manner that promotes the intelligent generation of offsprings. Consequently, our proposed approach benefits from the introduced probability structure to generate more promising offspring. Lastly, it incorporates a novel strategy to guide the algorithm to find the optimal subset throughout the evolutionary process. The obtained results on real-world datasets reveal a substantial enhancement in the quality of the final solutions.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"1 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140097094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development and Usability Testing of Virtual Reality (VR)-Based Reminiscence Therapy for People with Dementia","authors":"","doi":"10.1007/s10796-024-10479-w","DOIUrl":"https://doi.org/10.1007/s10796-024-10479-w","url":null,"abstract":"<h3>Abstract</h3> <p>The prevalence of dementia is increasing due to a longer life expectancy and an ageing population. Cognitive impairment affects patients’ daily lives and places a financial and healthcare burden on them and their families. Reminiscence therapy (RT) is a non-pharmacological approach that has been found to enhance the quality of life for older adults with or without dementia. There is an urgent need for more functional and effective treatments, such as virtual reality (VR), which are becoming increasingly popular. VR in RT is a relatively new field, and this paper proposes a conceptual model for developing proof-of-concept virtual reality-based reminiscence therapy (VR-RT) for people with dementia, based on the 4Is: immersion, interaction, imagination, and impression. This model is intended to offer an alternative therapeutic experience for older adults with dementia. This paper demonstrates VR-RT in accordance with the results from the proposed 4Is model, to depict different periods of the olden days of scenes, such as restoring the historical objects and appearance of the citizens. The proposed VR-RT is then evaluated with the occupational therapists (OTs) through pilot testing. The findings reveal that VR-RT based on the proposed model may elicit a positive attitude and motivation in older adults with dementia. The proposed 4Is model serves to offer essential features for VR development, followed by a survey to identify suitable reminiscence materials and themes tailored to older adults with dementia. A pilot test with OTs revealed that VR-RT has the potential to improve the conditions of people with dementia. The research contributes valuable insights and lays the groundwork for future development of VR-RT for people with dementia.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"7 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140025411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Securing Network Resilience: Leveraging Node Centrality for Cyberattack Mitigation and Robustness Enhancement","authors":"Essia Hamouda, Mohsen ElHafsi, Joon Son","doi":"10.1007/s10796-024-10477-y","DOIUrl":"https://doi.org/10.1007/s10796-024-10477-y","url":null,"abstract":"<p>In response to the dynamic and ever-evolving landscape of network attacks and cybersecurity, this study aims to enhance network security by identifying critical nodes and optimizing resource allocation within budget constraints. We introduce a novel approach leveraging node centrality scores from four widely-recognized centrality measures. Our unique contribution lies in converting these centrality metrics into actionable insights for identifying network attack probabilities, providing an unconventional yet effective method to bolster network robustness. Additionally, we propose a closed-form expression correlating network robustness with node-centric features, including importance scores and attack probabilities. At the core of our approach lies the development of a nonlinear optimization model that integrates predictive insights into node attack likelihood. Through this framework, we successfully determine an optimal resource allocation strategy, minimizing cyberattack risks on critical nodes while maximizing network robustness. Numerical results validate our approach, offering further insights into network dynamics and improved resilience against emerging cybersecurity threats.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"19 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140000862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}