Information Systems Frontiers最新文献_第6页

Toward the Understanding of the Appropriation of Compliance Support System in Organizations 了解合规支持系统在组织中的应用

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-10-24 DOI: 10.1007/s10796-024-10546-2

Sang-Soo Kim, Yong Jin Kim

引用次数: 0

Problem of Plenty? Understanding the Impact of Choice and Information Overload on Airbnb Bookings 丰富的问题？了解选择和信息过载对 Airbnb 预订的影响

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-10-21 DOI: 10.1007/s10796-024-10548-0

V Athi Karthick, Adrija Majumdar, Indranil Bose

引用次数: 0

Blockchain: Exploring its Impact on the Business Models of Australian Accounting Firms 区块链：探索区块链对澳大利亚会计师事务所业务模式的影响

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-10-19 DOI: 10.1007/s10796-024-10547-1

Maria Cadiz Dyball, Ravi Seethamraju

引用次数: 0

Navigating in Turbulent Times: Using Social Media to Examine Small and family-Owned Business Topics and Sentiments during the COVID-19 Crisis 在动荡时期航行：利用社交媒体研究 COVID-19 危机期间小型和家族企业的话题和情绪

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-10-18 DOI: 10.1007/s10796-024-10542-6

Shaun Meric Menezes, Ashok Kumar, Shantanu Dutta

{"title":"Navigating in Turbulent Times: Using Social Media to Examine Small and family-Owned Business Topics and Sentiments during the COVID-19 Crisis","authors":"Shaun Meric Menezes, Ashok Kumar, Shantanu Dutta","doi":"10.1007/s10796-024-10542-6","DOIUrl":"https://doi.org/10.1007/s10796-024-10542-6","url":null,"abstract":"During a crisis, small and family-owned businesses tend to experience more severe economic consequences than their larger counterparts and often lack financial resources needed to weather the challenges brought about by the crisis. To comprehend the distinct challenges and concerns of small and family-owned businesses during a major crisis, this research study focuses on the recent COVID-19 pandemic, which had a catastrophic effect on businesses and societies alike. To that effect, we address two research questions: First, what topics pertaining to small and family-owned businesses do social media users discuss during the COVID-19 pandemic? To achieve this goal, we employ the BERTopic model, a state-of-the-art technique for topic modeling, to identify and categorize prevalent themes arising from the discourse. Second, what is the impact of major government announcements on these discussions? Specifically, we study how sentiments change around a major government announcement aimed at supporting small businesses in the face of the pandemic. Our findings suggest that government announcements do not change the negative sentiments for most of the topics. This highlights the ineffectiveness of government announcements in alleviating people’s concern related to small and family-owned business and underscores the importance of a better consultation process and communication strategy by policymakers. The implications of our study transcend recent COVID-19 effects, as World Health Organization (WHO) cautions that there could be even worse health and socio-economic crises in the future, and we need to be better prepared to handle subsequent devastating effects.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"14 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142448412","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}

引用次数: 0

FGI-CogViT: Fuzzy Granule-based Interpretable Cognitive Vision Transformer for Early Detection of Alzheimer’s Disease using MRI Scan Images FGI-CogViT：利用核磁共振成像扫描图像早期检测阿尔茨海默病的基于模糊颗粒的可解释认知视觉转换器

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-10-15 DOI: 10.1007/s10796-024-10541-7

Anima Pramanik, Soumick Sarker, Sobhan Sarkar, Indranil Bose

{"title":"FGI-CogViT: Fuzzy Granule-based Interpretable Cognitive Vision Transformer for Early Detection of Alzheimer’s Disease using MRI Scan Images","authors":"Anima Pramanik, Soumick Sarker, Sobhan Sarkar, Indranil Bose","doi":"10.1007/s10796-024-10541-7","DOIUrl":"https://doi.org/10.1007/s10796-024-10541-7","url":null,"abstract":"Early detection of Alzheimer’s disease (AD) is crucial for timely intervention and management of this debilitating neurodegenerative disorder. However, it demands further serious attention. State-of-the-art vision transformers for multi-class AD detection techniques cannot handle the uncertainty issue arising between various stages of AD. Moreover, AD identification based on magnetic resonance imaging (MRI) scans is likewise computationally expensive. Further, vision transformers used in AD detection often suffer from a lack of interpretability of results. To address these issues, a new vision transformer, namely Fuzzy Granule-based Interpretable Cognitive Vision Transformer (FGI-CogViT) is developed. It has three parts, namely feature extraction, fuzzy logic-based granulation, and I-CogViT-based classification. Various vision and statistical features are computed over the MRI scan image(s). The statistical features are used to obtain the disease-prone regions in terms of fuzzy granules. In these regions, uncertainty may arise among the different stages of AD. Fuzzy logic-based rules are defined to obtain the crisp granules. Instead of considering the entire image, statistical features corresponding to the crisp granules are added with vision features for classification tasks through the I-CogViT that consists of three modules, namely residual network, traditional vision transformer, and classification network. These characteristics improve the speed and accuracy of FGI-CogViT. It synergizes the robust feature extraction capabilities of vision transformers with cognitive computing principles, aiming to augment the model’s interpretability. The efficacy of the FGI-CogViT has been demonstrated over 6,460 MRI scan images. Results reveal that FGI-CogViT outperforms some state-of-the-art. Furthermore, robustness checking and statistical significance testing support the findings.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"85 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142440235","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}

引用次数: 0

The Impact of Cultural Dimensions and Quality of Life on Smartphone Addiction and Employee Performance: The Moderating Role of Quality of Life 文化维度和生活质量对智能手机成瘾和员工绩效的影响：生活质量的调节作用

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-10-02 DOI: 10.1007/s10796-024-10544-4

Khaled Alshare, Murad Moqbel, Mohammad I. Merhi, Valerie Bartelt, Maliha Alam

{"title":"The Impact of Cultural Dimensions and Quality of Life on Smartphone Addiction and Employee Performance: The Moderating Role of Quality of Life","authors":"Khaled Alshare, Murad Moqbel, Mohammad I. Merhi, Valerie Bartelt, Maliha Alam","doi":"10.1007/s10796-024-10544-4","DOIUrl":"https://doi.org/10.1007/s10796-024-10544-4","url":null,"abstract":"Smartphones, while ubiquitous and beneficial, can lead to problematic use. This study investigates the intricate interplay between cultural dimensions, smartphone addiction, and employee performance. Through the lens of distraction theory, attachment Theory, coping theory combined with Hofstede's cultural dimensions, and self-regulation theory and quality of life, we examine how collectivism, individualism, uncertainty avoidance, and masculinity cultural dimensions influence smartphone addiction and its subsequent effect on employee performance. The findings, based on data collected from 233 employees at a major medical center in the Midwest region of the USA and employing structural equation modeling, reveal a significant cultural influence on smartphone addiction, ultimately leading to a decline in performance. However, quality of life emerges as a crucial moderator, mitigating the negative impact of smartphone addiction. This research offers valuable insights for information systems scholars, highlighting the importance of cultural context in understanding smartphone addiction. Furthermore, the study equips managers with practical knowledge to address smartphone addiction within a culturally diverse workforce. By implementing strategies that enhance employee quality of life, organizations can foster a more productive and engaged work environment.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"27 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142363115","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}

引用次数: 0

Factors Affecting Big Data Analytics Adoption in Small and Medium Enterprises 影响中小企业采用大数据分析的因素

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-09-30 DOI: 10.1007/s10796-024-10538-2

Rawan Babalghaith, Amer Aljarallah

引用次数: 0

Augmented Reality to Assist in the Diagnosis of Temporomandibular Joint Alterations 辅助诊断颞下颌关节病变的增强现实技术

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-09-27 DOI: 10.1007/s10796-024-10545-3

Laura Cercenelli, Nicolas Emiliani, Chiara Gulotta, Mirko Bevini, Giovanni Badiali, Emanuela Marcelli

{"title":"Augmented Reality to Assist in the Diagnosis of Temporomandibular Joint Alterations","authors":"Laura Cercenelli, Nicolas Emiliani, Chiara Gulotta, Mirko Bevini, Giovanni Badiali, Emanuela Marcelli","doi":"10.1007/s10796-024-10545-3","DOIUrl":"https://doi.org/10.1007/s10796-024-10545-3","url":null,"abstract":"Augmented Reality (AR) is an increasingly prominent technology with diverse applications across various surgical disciplines. This study aims to develop and assess the feasibility of a novel AR application intended to aid surgeons in the clinical assessment of temporomandibular joint (TMJ) alterations necessitating surgical intervention. The application employs a multi-modality tracking approach, combining both marker-less and marker-based tracking techniques to concurrently track the fixed portion of the joint and the movable mandible involved in TMJ. For the marker-based tracking both a planar marker with a binary QR-code pattern and a cuboid marker that contains a unique QR-code pattern on each face were tested and compared. The AR application was implemented for the HoloLens 2 head-mounted display and validated on a healthy volunteer performing the TMJ task, i.e. the opening and closing of the mouth. During the task, video recordings from the HoloLens cameras captured the horizontal and vertical excursions of the jaw movements (TMJ movements) using virtual markers anchored to the AR-displayed virtual anatomies. For validation, the video-recorded TMJ movements during AR viewing were compared with standard kinesiographic acquisitions. The findings demonstrated the consistency between the AR-derived trajectories and the kinesiography curves, especially when using the cubic Multi Target tracker to follow the moving mandible. Finally, the AR application was experienced on a patient and it was extremely useful for the surgeon to diagnose alterations in the normal kinematics of the TMJ. Future efforts should be addressed to minimize the bulkiness of the tracker and provide additional visual cues for surgeons.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"25 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142325160","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}

引用次数: 0

Understanding the Drivers of Industry 4.0 Technologies to Enhance Supply Chain Sustainability: Insights from the Agri-Food Industry 了解工业 4.0 技术对提高供应链可持续性的推动力：农业食品行业的启示

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-09-26 DOI: 10.1007/s10796-024-10539-1

Guoqing Zhao, Xiaoning Chen, Paul Jones, Shaofeng Liu, Carmen Lopez, Leonardo Leoni, Denis Dennehy

{"title":"Understanding the Drivers of Industry 4.0 Technologies to Enhance Supply Chain Sustainability: Insights from the Agri-Food Industry","authors":"Guoqing Zhao, Xiaoning Chen, Paul Jones, Shaofeng Liu, Carmen Lopez, Leonardo Leoni, Denis Dennehy","doi":"10.1007/s10796-024-10539-1","DOIUrl":"https://doi.org/10.1007/s10796-024-10539-1","url":null,"abstract":"The sustainability of agri-food supply chains (AFSCs) is severely threatened by regional and global events (e.g., conflicts, natural and human-made disasters, climate crises). In response, the AFSC industry is seeking digital solutions using Industry 4.0 (I4.0) technologies to enhance resilience and efficiency. However, why I4.0 adoption remains stubbornly low in the agri-food industry remains poorly understood. To address this gap, this study draws on middle-range theory (MRT) and uses thematic analysis, the fuzzy analytic hierarchy process, total interpretive structural modelling, and fuzzy cross-impact matrix multiplication applied to classification to produce insights from nine case studies in China that have invested in I4.0 technologies to improve their AFSC sustainability. New drivers of I4.0 unique to the agri-food industry are identified, showing how I4.0 can contribute to the environmental, economic, and social dimensions of AFSC sustainability. The results have implications for AFSC researchers and practitioners with an interest in supply chain sustainability.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"6 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142321193","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}

引用次数: 0

Combating Online Malicious Behavior: Integrating Machine Learning and Deep Learning Methods for Harmful News and Toxic Comments 打击网络恶意行为：整合机器学习和深度学习方法，应对有害新闻和有毒评论

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-09-24 DOI: 10.1007/s10796-024-10540-8

Szu-Yin Lin, Shih-Yi Chien, Yi-Zhen Chen, Yu-Hang Chien

{"title":"Combating Online Malicious Behavior: Integrating Machine Learning and Deep Learning Methods for Harmful News and Toxic Comments","authors":"Szu-Yin Lin, Shih-Yi Chien, Yi-Zhen Chen, Yu-Hang Chien","doi":"10.1007/s10796-024-10540-8","DOIUrl":"https://doi.org/10.1007/s10796-024-10540-8","url":null,"abstract":"The surge in online media has inundated the public with information, prompting the use of sensational and provocative language to capture attention, worsening the prevalence of online malicious behavior. This study delves into machine learning (ML) and deep learning (DL) techniques to identify and recognize harmful news and toxic comments, aiming to counteract the detrimental impact on public perception. Effective methods for detecting and categorizing malicious content are proposed and discussed, highlighting the differences between ML and DL approaches in combating malicious behavior. The study employs feature selection methods to scrutinize the distinctive feature set and keywords linked to harmful news and toxic comments. The proposed approach yields promising outcomes, achieving a 94% accuracy rate in recognizing toxic comments, a 68% recognition accuracy for harmful news, and an 81% accuracy in classifying malicious behavior content (combining harmful news and toxic comments). By harnessing the capabilities of ML and DL, this research enriches our comprehension of and ability to mitigate malicious behavior in online media. It provides valuable insights into the practical identification and categorization of harmful news and toxic comments, highlighting the unique facets of these advanced computational strategies as they address the pressing challenges of our digital society.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"17 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142313762","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}

引用次数: 0