Information Systems Frontiers最新文献_第5页

Impact of Inter and Intra Organizational Factors in Healthcare Digitalization: a Conditional Mediation Analysis 医疗数字化中组织间和组织内因素的影响：条件中介分析

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-08-07 DOI: 10.1007/s10796-024-10522-w

Prasanta Kumar Pattanaik, Shivam Gupta, Ashis K. Pani, Urmii Himanshu, Ilias O. Pappas

{"title":"Impact of Inter and Intra Organizational Factors in Healthcare Digitalization: a Conditional Mediation Analysis","authors":"Prasanta Kumar Pattanaik, Shivam Gupta, Ashis K. Pani, Urmii Himanshu, Ilias O. Pappas","doi":"10.1007/s10796-024-10522-w","DOIUrl":"https://doi.org/10.1007/s10796-024-10522-w","url":null,"abstract":"Digitalization of the healthcare industry is a major trend and focus worldwide. It has the capability to improve the quality of care, reduce costs, and increase accessibility. India’s Healthcare Vision 2030 serves as a driving force compelling healthcare organization in India to embrace digitalization in their operations and services. We surveyed Indian healthcare employees to provide a comprehensive understanding of how external factors impact an organization's internal resources towards successful adoption of healthcare digitalization. The integration of three theoretical perspectives Institutional Theory (IP), Resource-Based View (RBV), and Absorptive Capacity Theory (ACT)) enables a more holistic and intricacies view. Our results emphasize that healthcare digital transformation requires more than just investment and time. Neglecting to respond to external pressures can lead to limited outcomes in digitalization efforts. It necessitates the presence of an appropriate organizational culture, accompanied by strong belief and support from top management.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"21 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141899784","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

You recommend, I trust: the interactive self-presentation strategies for social media influencers to build authenticity perception in short video scenes 你推荐，我信任：社交媒体影响者在短视频场景中建立真实性认知的互动自我展示策略

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-08-06 DOI: 10.1007/s10796-024-10523-9

Nan Zhang, Chenhan Ruan, Xiwen Wang

{"title":"You recommend, I trust: the interactive self-presentation strategies for social media influencers to build authenticity perception in short video scenes","authors":"Nan Zhang, Chenhan Ruan, Xiwen Wang","doi":"10.1007/s10796-024-10523-9","DOIUrl":"https://doi.org/10.1007/s10796-024-10523-9","url":null,"abstract":"Short video represents a novel form of social media with rich vividness and sociability, facilitating social media influencers’ (SMIs) self-presentations and endorsements. While SMIs become primary information sources through short videos, they also face challenges such as high return rates and consumer distrust. This research investigates how SMIs can effectively achieve authenticity through the design of self-presentation strategies, specifically focusing on credibility and attractiveness from a source-effect perspective. Across three studies, this research demonstrates that: (1) both credibility and attractiveness positively increase SMIs’ authenticity perception, mediated by para-social interaction; (2) credibility and attractiveness exhibit a negative interactive relationship; (3) the substitutability of credibility and attractiveness varies depending on the type of SMIs (informative vs. entertainment). This research contributes to the literature on short-video information processing and consumer attitudes toward SMIs based on authenticity building.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"125 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141895462","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

Leveraging Greenhouse Gas Emissions Traceability in the Groundnut Supply Chain: Blockchain-Enabled Off-Chain Machine Learning as a Driver of Sustainability 利用落花生供应链中的温室气体排放可追溯性：区块链支持的链外机器学习推动可持续性发展

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-07-30 DOI: 10.1007/s10796-024-10514-w

Zakaria El Hathat, V. G. Venkatesh, V. Raja Sreedharan, Tarik Zouadi, Arunmozhi Manimuthu, Yangyan Shi, S. Srivatsa Srinivas

{"title":"Leveraging Greenhouse Gas Emissions Traceability in the Groundnut Supply Chain: Blockchain-Enabled Off-Chain Machine Learning as a Driver of Sustainability","authors":"Zakaria El Hathat, V. G. Venkatesh, V. Raja Sreedharan, Tarik Zouadi, Arunmozhi Manimuthu, Yangyan Shi, S. Srivatsa Srinivas","doi":"10.1007/s10796-024-10514-w","DOIUrl":"https://doi.org/10.1007/s10796-024-10514-w","url":null,"abstract":"As emphasized in multiple United Nations (UN) reports, sustainable agriculture, a key goal in the UN Sustainable Development Goals (SDGs), calls for dedicated efforts and innovative solutions. In this study, greenhouse gas (GHG) emissions in the groundnut supply chain from the region of Diourbel & Niakhar, Senegal, to the port of Dakar are investigated. The groundnut supply chain is divided into three steps: cultivation, harvesting, and processing/shipping. This work adheres to UN guidelines, addressing the imperative for sustainable agriculture by applying machine learning-based predictive modeling (MLPMs) utilizing the FAOSTAT and EDGAR databases. Additionally, it provides a novel approach using blockchain-enabled off-chain machine learning through smart contracts built on Hyperledger Fabric to secure GHG emissions storage and machine learning’s predictive analytics from fraud and enhance transparency and data security. This study also develops a decision-making dashboard to provide actionable insights for GHG emissions reduction strategies across the groundnut supply chain.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"18 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141857870","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

Machine Learning Algorithms for Pricing End-of-Life Remanufactured Laptops 为报废改制笔记本电脑定价的机器学习算法

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-07-29 DOI: 10.1007/s10796-024-10515-9

Gokce Baysal Turkolmez, Zakaria El Hathat, Nachiappan Subramanian, Saravanan Kuppusamy, V. Raja Sreedharan

引用次数: 0

Sustainability with Limited Data: A Novel Predictive Analytics Approach for Forecasting CO2 Emissions 利用有限数据实现可持续性：预测二氧化碳排放量的新型预测分析方法

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-07-23 DOI: 10.1007/s10796-024-10516-8

Christos K. Filelis-Papadopoulos, Samuel N. Kirshner, Philip O’Reilly

引用次数: 0

A Parsimonious Tree Augmented Naive Bayes Model for Exploring Colorectal Cancer Survival Factors and Their Conditional Interrelations 用于探索结直肠癌生存因素及其条件相互关系的解析树增强型 Naive Bayes 模型

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-07-19 DOI: 10.1007/s10796-024-10517-7

Ali Dag, Abdullah Asilkalkan, Osman T. Aydas, Musa Caglar, Serhat Simsek, Dursun Delen

{"title":"A Parsimonious Tree Augmented Naive Bayes Model for Exploring Colorectal Cancer Survival Factors and Their Conditional Interrelations","authors":"Ali Dag, Abdullah Asilkalkan, Osman T. Aydas, Musa Caglar, Serhat Simsek, Dursun Delen","doi":"10.1007/s10796-024-10517-7","DOIUrl":"https://doi.org/10.1007/s10796-024-10517-7","url":null,"abstract":"Effective management of colorectal cancer (CRC) necessitates precise prognostication and informed decision-making, yet existing literature often lacks emphasis on parsimonious variable selection and conveying complex interdependencies among factors to medical practitioners. To address this gap, we propose a decision support system integrating Elastic Net (EN) and Simulated Annealing (SA) algorithms for variable selection, followed by Tree Augmented Naive Bayes (TAN) modeling to elucidate conditional relationships. Through k-fold cross-validation, we identify optimal TAN models with varying variable sets and explore interdependency structures. Our approach acknowledges the challenge of conveying intricate relationships among numerous variables to medical practitioners and aims to enhance patient-physician communication. The stage of cancer emerges as a robust predictor, with its significance amplified by the number of metastatic lymph nodes. Moreover, the impact of metastatic lymph nodes on survival prediction varies with the age of diagnosis, with diminished relevance observed in older patients. Age itself emerges as a crucial determinant of survival, yet its effect is modulated by marital status. Leveraging these insights, we develop a web-based tool to facilitate physician–patient communication, mitigate clinical inertia, and enhance decision-making in CRC treatment. This research contributes to a parsimonious model with superior predictive capabilities while uncovering hidden conditional relationships, fostering more meaningful discussions between physicians and patients without compromising patient satisfaction with healthcare provision.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"69 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141726304","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

Modelling Patient Longitudinal Data for Clinical Decision Support: A Case Study on Emerging AI Healthcare Technologies 为临床决策支持建立患者纵向数据模型：新兴人工智能医疗技术案例研究

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-07-18 DOI: 10.1007/s10796-024-10513-x

Shuai Niu, Jing Ma, Qing Yin, Zhihua Wang, Liang Bai, Xian Yang

引用次数: 0

ARTEMIS: a Context-Aware Recommendation System with Crowding Forecaster for the Touristic Domain ARTEMIS：带拥挤预报功能的旅游领域情境感知推荐系统

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-07-18 DOI: 10.1007/s10796-024-10512-y

Sara Migliorini, Anna Dalla Vecchia, Alberto Belussi, Elisa Quintarelli

{"title":"ARTEMIS: a Context-Aware Recommendation System with Crowding Forecaster for the Touristic Domain","authors":"Sara Migliorini, Anna Dalla Vecchia, Alberto Belussi, Elisa Quintarelli","doi":"10.1007/s10796-024-10512-y","DOIUrl":"https://doi.org/10.1007/s10796-024-10512-y","url":null,"abstract":"Recommendation systems are becoming an invaluable assistant not only for users, who may be disoriented in the presence of a huge number of different alternatives, but also for service providers or sellers, who would like to be able to guide the choice of customers toward particular items with specific characteristics. This influence capability can be particularly useful in the tourism domain, where the need to manage the industry in a more sustainable way and the ability to predict and control the level of crowding of PoIs (Points of Interest) have become more pressing in recent years. In this paper, we study the role of contextual information in determining both PoI occupations and user preferences, and we explore how machine learning and deep learning techniques can help produce good recommendations for users by enriching historical information with its contextual counterpart. As a result, we propose the architecture of ARTEMIS, a context-Aware Recommender sysTEM wIth crowding forecaSting, able to learn and forecast user preferences and occupation levels based on historical contextual features. Throughout the paper, we refer to a real-world application scenario regarding the tourist visits performed in Verona, a municipality in Northern Italy, between 2014 and 2019.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"66 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141726330","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

Security among UPFs belonging to Different 5G/B5G/6G Networks 属于不同 5G/B5G/6G 网络的 UPF 之间的安全性

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-07-15 DOI: 10.1007/s10796-024-10510-0

Liang-Sheng Hsiao, Kun-Lin Tsai, Jung-Chun Liu, Fang-Yie Leu, Yu-Syuan Lu, I-Long Lin

{"title":"Security among UPFs belonging to Different 5G/B5G/6G Networks","authors":"Liang-Sheng Hsiao, Kun-Lin Tsai, Jung-Chun Liu, Fang-Yie Leu, Yu-Syuan Lu, I-Long Lin","doi":"10.1007/s10796-024-10510-0","DOIUrl":"https://doi.org/10.1007/s10796-024-10510-0","url":null,"abstract":"Recently, 5G/B5G/6G networks (5G for short) have been gloriously developed to give us colorful lives and make our daily activities more convenient than before. On the other hand, online meetings, like video conferences and online educations, have been popularly held everywhere in the world. Nevertheless, in such a meeting on 5G networks, a packet P transmitted from a User Plane Function (UPF), e.g., UPF1 of a 5G, e.g., 5G1, to P’s destinations, e.g., the set {UPF2, UPF3, …UPFn}, respectively, in {5G2, 5G3, …5Gn}, is not secure, even not encrypted, particularly when P goes through the Internet. Hackers may duplicate P, i.e., data leakage on the connections among these UPFs. The situation needs to be avoided when data of the meetings ought not to be leaked, e.g., for an important military conference. Therefore, in this study, we propose a security architecture, named Group Key using IKA (GKIKA), which encrypts/decrypt packets before sending them, e.g., EC1 in 5G1 encrypts P and then sends P’s ciphertext which will be decrypted by edge computers {EC2, EC3, …ECn} where ECj is in 5Gj, (2le jle n). Our security scenarios include data transmission among n-parties, n (ge) 2. When n (=) 2, symmetric or asymmetric cryptography is adopted depending on the security level and time constraints required. As n (>) 2, the Initial Key Agreement (IKA) is utilized to establish a secret key for all participating ECs. Other security mechanisms, like message authentication code and time stamp, are also utilized to enhance the security level of data transmission. Our analyses show that the GKIKA can effectively avoid some types of attacks.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"7 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141625034","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

Virtual Experiences, Real Memories? A Study on Information Recall and Recognition in the Metaverse 虚拟体验，真实记忆？元宇宙中的信息回忆与识别研究

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-07-08 DOI: 10.1007/s10796-024-10500-2

Nannan Xi, Juan Chen, Filipe Gama, Henry Korkeila, Juho Hamari

{"title":"Virtual Experiences, Real Memories? A Study on Information Recall and Recognition in the Metaverse","authors":"Nannan Xi, Juan Chen, Filipe Gama, Henry Korkeila, Juho Hamari","doi":"10.1007/s10796-024-10500-2","DOIUrl":"https://doi.org/10.1007/s10796-024-10500-2","url":null,"abstract":"There are high expectations towards extended reality (XR), namely the “metaverse”. However, human performance in the metaverse has been called into question when undertaking everyday activities (e.g., working, shopping, and learning etc.), as complex human-technology interaction required may hinder cognitive abilities such as processing of information. Therefore, this study attempts to address whether and how XR impacts abilities to recall and recognize information in daily-life settings. We investigated the effects of VR and AR in a 2 (VR: yes vs. no) × 2 (AR: yes vs. no) between-subjects design experiment related to a shopping task (N = 153) on textual (product names) and pictorial (product pictures) recognition and recall. The results show that textual information recall and pictorial information recognition did not significantly suffer in XR compared to shopping in a brick-and-mortar store. While regarding textual information recognition performance, the results show that fully physical environments offered the highest performance compared to the different XR technologies being used. Overall, the study provides important findings and guidance for the use of extended reality technologies in consumer-facing businesses, as well as the use of XR in everyday life in general.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"38 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141557112","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