Data and information management最新文献

Trustworthy AI: AI developers’ lens to implementation challenges and opportunities 值得信赖的人工智能：人工智能开发人员实现挑战和机遇的视角

Data and information management Pub Date : 2025-06-01 DOI: 10.1016/j.dim.2024.100082

Carter Cousineau , Rozita Dara , Ataharul Chowdhury

{"title":"Trustworthy AI: AI developers’ lens to implementation challenges and opportunities","authors":"Carter Cousineau , Rozita Dara , Ataharul Chowdhury","doi":"10.1016/j.dim.2024.100082","DOIUrl":"10.1016/j.dim.2024.100082","url":null,"abstract":"<div><div>As organizations continue to embrace the use of artificial intelligence (AI) systems, it is crucial to ensure that these AI systems can be trusted. However, there is still a significant gap between research on trustworthy AI and its implementation in real-world applications. To address this issue, we sought to explore the perspectives of AI developers and the challenges they face in creating trustworthy AI systems. This exploratory study involved conducting interviews with 19 AI developers. We identified key challenges faced by AI developers due to the immature state of trustworthy AI, inconsistent global regulatory landscape, a lack of standardized definitions of key concepts, limited tools and standards for practical implementation in organizations. This paper provides recommendations for organizations to invest in trustworthy AI processes and practices, this includes building a foundation for trustworthy AI specific to their organization, adopting an organizational approach to trustworthy AI culture, and providing proper data infrastructures to support AI developers in creating trustworthy AI systems. By investing in trustworthy AI practices, organizations can prepare for evolving regulations and ensure that their AI systems are reliable and trustworthy.</div></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"9 2","pages":"Article 100082"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144204863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting changes in task difficulty perception based on visual behavior in mobile health information search 根据移动健康信息搜索中的视觉行为预测任务难度感知的变化

Data and information management Pub Date : 2025-06-01 DOI: 10.1016/j.dim.2024.100074

Jing Chen , Hongli Chen , Shubin Zhou , Quan Lu

{"title":"Predicting changes in task difficulty perception based on visual behavior in mobile health information search","authors":"Jing Chen , Hongli Chen , Shubin Zhou , Quan Lu","doi":"10.1016/j.dim.2024.100074","DOIUrl":"10.1016/j.dim.2024.100074","url":null,"abstract":"<div><div>With the proliferation of online health resources, mobile health information search has become the new norm, in which the task difficulty perception in search affects the user's search experience. This study aimed to investigate the relationship between visual behavior that reflects users' cognitive processing and changes in perceived task difficulty, thereby predicting such changes.</div><div>This study was conducted through a controlled experiment. 46 participants were recruited to complete four tasks. Visual behavior data were collected through eye-tracking technology, and changes in task difficulty perception were measured through pre-task and post-task questionnaires. The mobile health information search process is divided into three search activities: querying, browsing, and viewing activities. Predictors were inspected from the overall session and individual search activity levels using the Mann-Whitney <em>U</em> test, and then K-Nearest Neighbor, Extreme-Trees, Naive Bayesian, Support Vector Machine, Logistic Regression algorithms were used to predict and evaluate prediction effects.</div><div>The results showed significant differences in participants' fixation and saccade behaviors between increases and decreases in task difficulty, both at the overall session and individual search activity level. The logistic regression algorithm demonstrated the highest predictive performance, Furthermore, visual behavioral indicators for the browsing activity proved to perform better relative to the other search activities.</div><div>This study highlights the importance of visual behavioral indicators as reliable predictors of changes in users' perceived task difficulty in mobile health information search. It can help health information providers and administrators to provide timely and targeted assistance and implement effective guidance strategies.</div></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"9 2","pages":"Article 100074"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141391065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing team creativity among information technology professionals through knowledge sharing and motivational rewards: A self-determination perspective 通过知识共享和激励奖励提高信息技术专业人员的团队创造力：自我决定的视角

Data and information management Pub Date : 2025-06-01 DOI: 10.1016/j.dim.2024.100075

Xiling Cui , Xuan Yang , Jifan Ren , Paul Benjamin Lowry , Timon Chih-ting Du

{"title":"Enhancing team creativity among information technology professionals through knowledge sharing and motivational rewards: A self-determination perspective","authors":"Xiling Cui , Xuan Yang , Jifan Ren , Paul Benjamin Lowry , Timon Chih-ting Du","doi":"10.1016/j.dim.2024.100075","DOIUrl":"10.1016/j.dim.2024.100075","url":null,"abstract":"<div><div>This study aims to investigate how to leverage knowledge sharing (KS) to boost team creativity among information technology (IT) professionals. We examine the effects of intrinsic and intangible extrinsic rewards on in-role and extra-role KS, which increases team creativity. We use data collected from 322 employees in 80 teams from organizations in the IT industry to test the research model and confirm the important roles of KS and motivational rewards. The two types of KS show different patterns in terms of their antecedents and outcomes. Specifically, in-role KS does not affect team creativity directly, while extra-role KS does. Intrinsic rewards significantly affect both in-role and extra-role KS, and the effect on the latter is greater. Image rewards have a greater effect on in-role KS than on extra-role KS. In addition, the two forms of intangible extrinsic rewards exhibit internalization. The study pioneers in addressing a pressing research gap by investigating and comparing the effects of the two types of KS—in-role and extra-role KS—on team creativity.</div></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"9 2","pages":"Article 100075"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141408578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A comparative analysis of China-themed books in three ASEAN countries: Implications for resource development and intercultural communication 东盟三国中国主题图书的比较分析：对资源开发和跨文化交流的启示

Data and information management Pub Date : 2025-06-01 DOI: 10.1016/j.dim.2024.100081

Fan Jin, Pengyi Zhang

引用次数: 0

Smart cities services and solutions: A systematic review 智慧城市服务和解决方案：系统回顾

Data and information management Pub Date : 2025-06-01 DOI: 10.1016/j.dim.2024.100087

Walid Miloud Dahmane , Samir Ouchani , Hafida Bouarfa

引用次数: 0

Identifying exaggeration in ESG reports using machine learning techniques 使用机器学习技术识别ESG报告中的夸大

Data and information management Pub Date : 2025-06-01 DOI: 10.1016/j.dim.2024.100084

Yunfang Luo , Xiling Cui , Qiang Liu , Qiang Zhou , Yingxuan Zhang

引用次数: 0

Open access data policies and technologies: Introduction to special issue 开放存取数据政策与技术：专题导论

Data and information management Pub Date : 2025-03-01 DOI: 10.1016/j.dim.2025.100093

Di Wang, Misita Anwar, Rong Tang

引用次数: 0

Identifying factors and configurations influencing the effectiveness of government data openness in China based on fsQCA 基于fsQCA识别影响中国政府数据开放有效性的因素和配置

Data and information management Pub Date : 2025-03-01 DOI: 10.1016/j.dim.2024.100071

Xu Chen, Muhua Hu

{"title":"Identifying factors and configurations influencing the effectiveness of government data openness in China based on fsQCA","authors":"Xu Chen, Muhua Hu","doi":"10.1016/j.dim.2024.100071","DOIUrl":"10.1016/j.dim.2024.100071","url":null,"abstract":"<div><div>Engaging government data openness is of great significance to economic development and social services. As the government data openness process continues to deepen in China, it is worth studying the factors that affect government data openness and the development paths leading to the high performance of data opening. Based on the Technology-Organization-Environment (TOE) theory, this paper proposes a government data open analysis framework including five condition variables (i.e., data support, technical support, government support, economic development, and social development). Using Fuzzy-set Qualitative Comparative Analysis (fsQCA) to analyze data from 25 provincial governments, we discover the key influencing factors and configurations leading to high-level and non-high-level data openness. Experimental results show that a single factor does not determine the level of government data opening. Instead, it is jointly affected by multiple factors in technology, organization, and environment. Three configuration paths are found in developing China’s provincial government data openness, including technology-environment-driven, technology-organization-environment-driven, and technology-organization-driven modes. The analysis results of this paper provide inspiration and suggestions for provincial governments to improve the level of government data opening according to local characteristics.</div></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"9 1","pages":"Article 100071"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140400196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Metadata application proﬁle as a mechanism for semantic interoperability in FAIR and open data publishing 作为 FAIR 和开放数据发布中语义互操作性机制的元数据应用程序清单

Data and information management Pub Date : 2025-03-01 DOI: 10.1016/j.dim.2024.100068

Nishad Thalhath, Mitsuharu Nagamori, Tetsuo Sakaguchi

{"title":"Metadata application proﬁle as a mechanism for semantic interoperability in FAIR and open data publishing","authors":"Nishad Thalhath, Mitsuharu Nagamori, Tetsuo Sakaguchi","doi":"10.1016/j.dim.2024.100068","DOIUrl":"10.1016/j.dim.2024.100068","url":null,"abstract":"<div><div>Application profiles, also known as metadata application profiles, are customised collections of vocabularies adapted from various namespaces and tailored for specific local applications. These profiles act as constrainers and explainers for the (meta)data. Semantic interoperability is the ability of computer systems to exchange data in a mutually understandable manner, facilitating data sharing across diverse platforms and applications without compromising its meaning. As a critical component of semantic interoperability, application profiles enforce semantics to (meta)data, enhancing its openness, interoperability, and reusability. This study assesses the feasibility of representing a comprehensive application profile in a format aligned with the semantic web, ensuring interoperability between profiles and datasets. Dublin Core Description Set Profiles (DSP) is adapted as the modeling framework for metadata application profiles, steering the associated datasets toward RDF compliance. The research outcomes include “Yet Another Metadata Application Profiles” (YAMA) as a preprocessor grounded in the DSP framework for developing and managing metadata application profiles. YAMA facilitates the generation of various standard formats of application profiles, ensuring they are represented in human-readable documentation, machine-actionable forms, and even data validation languages. A data mapping extension to YAMA is proposed to ensure the semantic interoperability of open data, bridging non-RDF data structures to RDF, thus enabling the publication of 5-star open data. This ensures smooth dataset integration and the creation of linkable, semantically rich open datasets. The work emphasizes the pivotal role of application profiles in fortifying the semantic interoperability of (meta)data, thereby elevating dataset openness.</div></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"9 1","pages":"Article 100068"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140464109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Understanding barriers affecting the adoption and usage of open access data in the context of organizations 了解影响在组织环境中采用和使用开放获取数据的障碍

Data and information management Pub Date : 2025-03-01 DOI: 10.1016/j.dim.2023.100049

Murat Tahir Çaldağ , Ebru Gökalp

{"title":"Understanding barriers affecting the adoption and usage of open access data in the context of organizations","authors":"Murat Tahir Çaldağ , Ebru Gökalp","doi":"10.1016/j.dim.2023.100049","DOIUrl":"10.1016/j.dim.2023.100049","url":null,"abstract":"<div><div>Data and information are growing exponentially due to advances and innovations in information and communication technologies. This growth forces organizations to gain new capabilities to compete or stay current in their marketplace. Open Access Data (OAD), resulting from the open source movement, is seen as a double-edged sword from the management perspective. It can potentially provide enormous social and economic value, such as transparency, participation culture, innovativeness, and accountability to organizations, governments, and, more importantly, citizens. Although the benefits of organizational adoption are significant, most OAD-related projects fail cause of organizational barriers and resistance to adoption. This study first aims to find these organizational barriers on adopting OAD to raise awareness of the obstacles organizations must overcome. Towards this aim, after conducting a systematic literature review (SLR) and an expert panel, a research model based on the Technology – Organization – Environment (TOE) framework is proposed in this study. As a result of SLR, 97 barriers were identified from ten primary studies. After critically examining these barriers, a research model classifying 22 crucial barriers to organizational OAD adoption based on the TOE framework is proposed. Another significant contribution of this study is to draw attention to under-researched barriers in the literature, such as Power and Control, Political Commitment, Inter-Organizational Trust, IT Governance, and Competitive Pressure.</div></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"9 1","pages":"Article 100049"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135298620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0