Information Systems Frontiers最新文献_第5页

Investigating Learning Join Order Optimization Strategies for Rule-based Data Engines 研究基于规则的数据引擎的学习连接顺序优化策略

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-11-22 DOI: 10.1007/s10796-024-10555-1

Antonios Karvelas, Yannis Foufoulas, Alkis Simitsis, Yannis Ioannidis

引用次数: 0

A Fine-grained Classification Method for Cross-domain Policy Texts Based on Instruction Tuning 基于指令调整的跨域政策文本细粒度分类方法

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-11-22 DOI: 10.1007/s10796-024-10554-2

Jingyun Sun, Xinlong Chen, Kaiyuan Zheng, Yan Zan

{"title":"A Fine-grained Classification Method for Cross-domain Policy Texts Based on Instruction Tuning","authors":"Jingyun Sun, Xinlong Chen, Kaiyuan Zheng, Yan Zan","doi":"10.1007/s10796-024-10554-2","DOIUrl":"https://doi.org/10.1007/s10796-024-10554-2","url":null,"abstract":"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 classification head. Therefore, we propose a Cross-Domain Policy Text Classification (CDPTC) task. We introduce a method for the task called InstructCDPTC. This method, within an instruction tuning framework, transforms the classification task into a generation task, using the decoder-only model BigBird to predict masked tokens. We wrap the original PT within an instruction template containing a task description, a label description, and a mask sequence, which serve as input to BigBird. During training, we use the names of gold categories as the prediction targets for masked positions. During inference, we determine the final predicted category by computing the semantic distance between the averaged representations of the mask predictions and each candidate label. We constructed a dataset of 20,189 labeled policy texts from five different policy domains to evaluate InstructCDPTC. Experimental results demonstrate that InstructCDPTC achieves an F1 score of 0.824 under conditions where the sample distribution and label space of the target domain are entirely unseen, surpassing other baselines.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"66 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684127","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

What Affects User Experience of Shared Mobility Services? Insights from Integrating Signaling Theory and Value Framework 是什么影响了共享交通服务的用户体验？整合信号理论和价值框架的启示

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-11-21 DOI: 10.1007/s10796-024-10556-0

Bibaswan Basu, M. P. Sebastian, Arpan Kumar Kar

{"title":"What Affects User Experience of Shared Mobility Services? Insights from Integrating Signaling Theory and Value Framework","authors":"Bibaswan Basu, M. P. Sebastian, Arpan Kumar Kar","doi":"10.1007/s10796-024-10556-0","DOIUrl":"https://doi.org/10.1007/s10796-024-10556-0","url":null,"abstract":"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, stemming from lack of information and in-person communication. To address that, we adopt the Signaling Theory and Value Framework to understand the apps’ features, reflecting the shared mobility service quality to the users. We mine 212,000 and 150,000 user reviews on India’s two most extensively used shared mobility services- OLA and UBER, respectively and identify the factors affecting user experiences. We provide a novel framework by mapping these factors to theoretical lexicons. Multiple regression models show that time resources, monetary resources, perceived information protection, app usage controllability, perceived safety in e-payment mechanism, informational trust-related advantage, and participation in decision making influence the user experience of both the services significantly.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"13 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678489","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

AI in the Organizational Nexus: Building Trust, Cementing Commitment, and Evolving Psychological Contracts 组织关系中的人工智能：建立信任、巩固承诺和发展心理契约

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-11-15 DOI: 10.1007/s10796-024-10561-3

Muhammad Farrukh Moin, Abhishek Behl, Justin Zuopeng Zhang, Amit Shankar

{"title":"AI in the Organizational Nexus: Building Trust, Cementing Commitment, and Evolving Psychological Contracts","authors":"Muhammad Farrukh Moin, Abhishek Behl, Justin Zuopeng Zhang, Amit Shankar","doi":"10.1007/s10796-024-10561-3","DOIUrl":"https://doi.org/10.1007/s10796-024-10561-3","url":null,"abstract":"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 the potentially profound impact of AI, this study seeks to explore its disruptive effects and challenges within organizational contexts. Drawing on the Social Exchange Theory, this research examines the relationship between psychological contract (PC) fulfillment and organizational commitment, with trust acting as a mediator and AI acceptance as a moderator. Data were collected from the service industry using a time-lagged design. The findings indicate that PC fulfillment positively influences workers’ trust and organizational commitment. Furthermore, AI acceptance attenuates the direct and indirect positive effects of PC fulfillment on job-related outcomes. This study offers valuable insights into building and maintaining trust and fostering a committed workforce amidst the digitalization era. It underscores the importance of fulfilling promissory expectations in fostering trust and commitment. Additionally, it sheds light on the disruptive effects of AI technology on critical job outcomes, emphasizing the societal and industrial implications, the future of work, and avenues for further advancements in AI technology.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"9 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637747","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

A Grey Combined Prediction Model for Medical Treatment Risk Analysis during Pandemics 大流行病期间医疗风险分析的灰色组合预测模型

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-11-11 DOI: 10.1007/s10796-024-10551-5

R. Rajesh

{"title":"A Grey Combined Prediction Model for Medical Treatment Risk Analysis during Pandemics","authors":"R. Rajesh","doi":"10.1007/s10796-024-10551-5","DOIUrl":"https://doi.org/10.1007/s10796-024-10551-5","url":null,"abstract":"The role of information systems (IS) were widely discoursed during the spread of the COVID-19 outbreak. We have focused on developing a decision support systems (DSS) based on a combined prediction model, that can essentially be used at the start of any pandemic. Convalescent plasma therapy is generally applied during the spread of a pandemic as a therapy method that transfuses blood plasma from the people, who have recovered from an illness to treat critical cases. We observe, analyse, and predict the risks associated with the treatment effects of convalescent plasma therapy on COVID-19 patients. Based on the secondary data, we build a prediction model to evaluate and predict the trends in the clinical characteristics and laboratory findings for critically ill patients infected with COVID-19 and treated with convalescent plasma. Here, we use a combined prediction model utilizing three models; the grey prediction model (GM (1, 1)), the residual prediction model (residual GM (1, 1)), and a back propagation artificial neural network (BP-ANN) based residual sign prediction model. Also, a validation of the results of the study has been presented at two levels. On analysis of the results from the prediction model, it is observed that the convalescent plasma therapy can show progressive signs on COVID-19 infected patients. Health practitioners can understand, analyze, and predict the potential risks of convalescent plasma therapy based on the proposed model.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"19 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142598480","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

Stress Level Assessment by a Multi-Parametric Wearable Platform: Relevance of Different Physiological Signals 通过多参数可穿戴平台评估压力水平：不同生理信号的相关性

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-11-06 DOI: 10.1007/s10796-024-10550-6

Beatrice De Marchi, Endi Agovi, Andrea Aliverti

{"title":"Stress Level Assessment by a Multi-Parametric Wearable Platform: Relevance of Different Physiological Signals","authors":"Beatrice De Marchi, Endi Agovi, Andrea Aliverti","doi":"10.1007/s10796-024-10550-6","DOIUrl":"https://doi.org/10.1007/s10796-024-10550-6","url":null,"abstract":"In contemporary society, where chronic stress is increasingly prevalent, this study aims to propose a multi-parametric wearable platform suitable for real-life monitoring and to validate its ability to acquire four physiological signals relevant for the stress response (electrocardiogram, respiration, galvanic skin response, photoplethysmogram). Secondly, it seeks to conduct a statistical analysis on the derived features both to identify the physiological signals necessary for a comprehensive analysis of the stress response and to understand the distinct contribution of each one. The results obtained revealed at least two statistically significant features from each of the physiological signals considered, confirming the importance of a multi-parametric approach for an accurate stress response analysis. Additionally, the proposed statistical hypotheses allowed to determine how each physiological signal contributes differently to characterize various aspects of the stress response. For these reasons, this study could represent a benchmark for future investigations aiming to classify the stress response.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"10 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588588","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

Classifying DSS Research – A Theoretical Framework 信息系统研究分类--理论框架

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-11-04 DOI: 10.1007/s10796-024-10553-3

Rahul Kumar, Rahul Thakurta

{"title":"Classifying DSS Research – A Theoretical Framework","authors":"Rahul Kumar, Rahul Thakurta","doi":"10.1007/s10796-024-10553-3","DOIUrl":"https://doi.org/10.1007/s10796-024-10553-3","url":null,"abstract":"The domain of decision support systems (DSS), focusing on developing various systems to aid decision-making, is receiving increasing attention. The proliferation of the domain necessitates a more comprehensive categorization of DSS research towards a unified representation that can contribute to a shared understanding. We thereby resort to re-examining the DSS research to assimilate, unveil, and re-structure the DSS scholarship. We perform an automated content analysis of the abstracts to investigate the structural commonalities of the DSS articles featuring in the Scopus database and published in the last five decades. Furthermore, we supplement our findings by exploring and classifying the emergent sub-structures. For this, we resort to the scenario classification framework, which draws from information systems, human-computer interaction, and requirements engineering domains, and adapt it in the context of DSS. Our overall results led to a framework for classifying DSS research with four levels: decision environment, DS (decision support) artifact, DS application, and context. We show the framework’s applicability by systematically classifying a sample of publications shortlisted to demonstrate its usefulness.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"18 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580523","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

Look Before you Leap! The Impact of Trust, Uncertainty, and Topics of Reviews on Search and Sales of Cars 跃进之前先看清！信任、不确定性和评论主题对汽车搜索和销售的影响

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-10-31 DOI: 10.1007/s10796-024-10552-4

Madhuri Prabhala, Indranil Bose

引用次数: 0

The impact of information privacy concerns on information systems use behaviors in non-volitional surveillance contexts: A moderated mediation approach 信息隐私问题对非传统监控环境下信息系统使用行为的影响：中介调节法

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-10-30 DOI: 10.1007/s10796-024-10549-z

Jeewon Cho, Insu Park

{"title":"The impact of information privacy concerns on information systems use behaviors in non-volitional surveillance contexts: A moderated mediation approach","authors":"Jeewon Cho, Insu Park","doi":"10.1007/s10796-024-10549-z","DOIUrl":"https://doi.org/10.1007/s10796-024-10549-z","url":null,"abstract":"Electronic surveillance/monitoring has become ubiquitous in modern organizations as advanced information technology (IT) expands organizational capacity to track system users’ daily information systems (IS) activities. Although this environmental shift surrounding IS raises an important (though largely unexplored) issue of IS users’ information privacy and subsequent IS behaviors, little is known about cognitive/psychological processes and boundary conditions underlying IS users’ information privacy concerns and behaviors under the context of non-volitional workplace surveillance. Grounded on psychological reactance theory, this paper articulates how and when information privacy concerns under workplace surveillance relate to IS use behaviors (i.e., effective IS use and shadow IT use) via psychological reactance. In addition, it investigates IS procedural fairness, a contextual boundary condition. We tested a research model using two surveys (via online platforms) data collected from a sample of 301 and 302 IS users working under electronic surveillance/monitoring systems in various organizations and industries. Using moderated mediation analyses, the results of the study show that (1) psychological reactance mediates the relationship between IS users’ information privacy concerns and effective IS use and shadow IT use, respectively; and (2) IS procedural fairness acts as a boundary condition for the given mediated relationships such that the negative impacts of information privacy concerns on psychological reactance and IS behaviors are mitigated. Implications for theory and practice are discussed.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"83 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142541705","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

AI’s Impact on Sustainability Targets: A Cross-Country NCA and fsQCA Study 人工智能对可持续发展目标的影响：跨国 NCA 和 fsQCA 研究

IF 5.9 3区管理学

Information Systems Frontiers Pub Date : 2024-10-24 DOI: 10.1007/s10796-024-10543-5

Pramukh Nanjundaswamy Vasist, Satish Krishnan

{"title":"AI’s Impact on Sustainability Targets: A Cross-Country NCA and fsQCA Study","authors":"Pramukh Nanjundaswamy Vasist, Satish Krishnan","doi":"10.1007/s10796-024-10543-5","DOIUrl":"https://doi.org/10.1007/s10796-024-10543-5","url":null,"abstract":"Artificial intelligence is driving significant advancements in sustainability across nations. In light of AI’s benefits, recent studies emphasize the need for nations to develop comprehensive AI strategies that prioritize achieving SDG-related objectives. However, AI development is a complex sociotechnical process, with interconnected components influencing a country’s capability in AI. Given AI’s rising strategic significance for nations, we examine how dimensions of a nation’s AI capacity converge to facilitate sustainability advances. Using a cross-country configurational analysis comprising 59 nations, we identify six necessary conditions and three distinct configurations that influence a nation’s overall progress toward achieving the SDGs. The results underscore the relatively prominent role of access infrastructure and an operating environment underpinned by AI regulations in contributing to SDG progress. The comparatively lower significance of commercial ventures and AI talent highlights that sustainability efforts of ventures such as AI start-ups must balance social and environmental aspects with economic goals, while AI talent, in conjunction with other factors such as foundational platforms, can help drive innovative AI projects to advance SDG goals. A supplementary analysis helps discern how economic development and urbanization interact with other dimensions of a nation’s AI capacity to advance sustainability endeavors. The study renews focus on sustainability in IS research and contributes to the scholarly discourse on Responsible AI and Green IS. The results also nudge AI practitioners and policymakers to prioritize their efforts in advancing progress toward SDGs, specifically exploring AI’s potential to enhance and expedite these efforts.","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"194 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142488825","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