期刊档案 · Social Sciences-Library and Information Sciences
International Journal of Information Management Data Insights
ISSN 2667-0968 · Elsevier · United Kingdom
International Journal of Information Management Data Insights 影响因子 31（官网公布），完全开放获取，APC 约 2,230 美元，出版商公布投稿到接收约 201 天，2025 年发文 66 篇，Scopus 收录。
研究范围
研究范围与定位
International Journal of Information Management Data Insights 由 Elsevier 出版。按 OpenAlex 近年发文统计，该刊主要发表 Technology Adoption and User Behaviour、Digital Marketing and Social Media、Big Data and Business Intelligence 等主题的论文，这 3 个主题约占 32.1%，主导子领域为 Artificial Intelligence。（根据 OpenAlex 主题统计与中科院分区数据生成）
A companion title to the International Journal of Information Management, IJIM Data Insights is a peer-reviewed gold open access journal dedicated to advancing empirical evidence-based research in information management and related fields through rigorous data-driven approaches.Journal FocusIJIM Data Insights emphasizes methodological rigor and empirical validity in research contributions. The journal values comprehensive and well-executed studies that demonstrate robust analytical approaches, regardless of their outcome. We particularly welcome research that provides thorough empirical investigation, careful methodology, and clear practical implications.Our scope encompasses the broad spectrum of information management, including but not limited to:Data Management and AnalyticsInformation Systems and Digital InfrastructureDigital Transformation and InnovationKnowledge Management and Organizational LearningArtificial Intelligence for Information ManagementBusiness Intelligence and Decision Support SystemsSocial and Organizational Aspects of Information UseInformation Policy and GovernanceOperations and Process ManagementConsumer Behavior and Marketing Information SystemsSustainability in Information ManagementSocietal Impacts of Information ManagementTypes of ContributionsIJIM Data Insights recognizes that valuable research takes many forms . We welcome submissions in various formats:Traditional Research FormatsOriginal Research Articles presenting empirical findings from quantitative, qualitative or mixed method studies.Theory Development Papers supported by empirical validation and advancing theoretical understanding in the field.Systematic Literature Reviews and Meta Analyses with advanced analytical methods such as bibliometric analysis or scientometric analysis to synthesize existing research.Methodological Papers introducing novel analytical or computational approaches with clear empirical demonstration.Survey-based Research with robust statistical analysis to analyze trends and relationships.Experimental and Quasi-experimental investigating causal or correlative insight under controlled or observational conditions.Observational Studies exploring real world phenomena through detailed field research.Design Science Research focusing on design, creation and evaluation of innovative artifacts. Alternative Research FormatsReplication Studies validating or challenging existing findings.Research Opinions backed by empirical evidence, proposing new directions, or challenging exiting paradigm.Industry Case Studies providing detailed analyses of real-world applications.Methodological Papers introducing or comparing analytical approaches.Longitudinal Studies tracking developments over time.Large-scale Data Analytics Studies utilizing extensive datasets to derive insights.Data-driven conceptual papers proposing new frameworks or perspectives grounded in large-scale data analysis.All submissions should demonstrate:Clear research objectives and methodologyRobust data collection and analysisStrong empirical evidence supporting conclusionsPractical implications for information managementAdherence to ethical research standardsOpen Data PolicyIJIM Data Insights is committed to research transparency and reproducibility through its Open Data policy. Authors are required to:Deposit their research data in a relevant data repositoryInclude appropriate citations and links to these datasets in their articleProvide a Research Data Availability StatementIf data sharing is not possible due to ethical, legal, or proprietary constraints, authors must include a detailed statement explaining why the research data cannot be shared.The journal employs a rigorous peer-review process focused on methodological soundness and empirical validity. We encourage submissions that leverage various data types (structured, semi-structured, or unstructured) and analytical methods (quantitative, qualitative, or mixed methods) to provide meaningful insights into informa
摘自期刊官网 Aims & Scope
研究方向（LetPub）：Social Sciences-Library and Information Sciences
主编 Alain Chong出版商官网
编委会国家分布：中国大陆 7 位（约 6%）；主要国家 美国 33、印度 19、澳大利亚 14、英国 11、中国 7（共 125 位编委标注了国家） 编委会 ↗出版商官网 ·
主要研究主题 OpenAlex 近年发文统计，占比为近似值
- Technology Adoption and User BehaviourDecision Sciences13.1%
- Digital Marketing and Social MediaSocial Sciences11.4%
- Big Data and Business IntelligenceBusiness, Management and Accounting7.6%
- Sentiment Analysis and Opinion MiningComputer Science7.2%
- Blockchain Technology Applications and SecurityComputer Science5.7%
- FinTech, Crowdfunding, Digital FinanceBusiness, Management and Accounting3.9%
- AI in Service InteractionsComputer Science3.9%
- Organizational and Employee PerformanceComputer Science3.5%
分区与收录
学科分区与数据库收录
中科院期刊分区表
期刊分区表（ 2025年3月升级版）未收录
该期刊未被此版本分区表收录。
《新锐期刊分区表》（ 2026年3月发布）未收录
该期刊未被此版本分区表收录。
期刊分区表（ 2023年12月旧的升级版）未收录
该期刊未被此版本分区表收录。
数据库收录
ScopusDOAJLetPub
国际期刊预警名单：各版本均未列入LetPub
不同版本、大类与小类分别展示，不将不同评价口径合并为一个分区值；投稿与考核前请确认所在机构采用的版本。
指标
影响力指标与发文规模
影响力指标
- 影响因子（出版商公布）
- 31出版商官网 ·
- CiteScore 2026-06
- 25.1LetPub ·
- CiteScore（出版商公布）
- 25.1出版商官网 ·
- SJR 2026-06
- 1.78LetPub ·
- SNIP 2026-06
- 3.03LetPub ·
- h-index
- 68OpenAlex ·
- i10-index
- 262OpenAlex ·
- 两年平均被引
- 14.17OpenAlex ·
- Gold OA 文章占比
- 0%LetPub ·
逐年发文量 OpenAlex 统计 · 累计 439 篇 · 当年数据不完整
| 年份 | 发文量 | 其中 OA | 被引 |
|---|---|---|---|
| 2026 | 61 | 61 | 47 |
| 2025 | 66 | 66 | 487 |
| 2024 | 107 | 107 | 2,781 |
| 2023 | 55 | 55 | 2,573 |
| 2022 | 94 | 94 | 5,064 |
| 2021 | 55 | 55 | 6,159 |
不同来源的统计口径与观测时间不同，页面保留各来源原值；“出版商公布”为期刊官网自述数据。
审稿与录用
审稿周期与录用情况
出版商公布的审稿周期 期刊官网自述数据
201 天投稿到接收 · 投稿社区反馈约 15 周
出版商统计口径以官网为准；本刊近 24 个月的文章日期尚未获得，因此以官方数据为准。
各来源数据
- 平均审稿速度（社区反馈）
- 15 WeeksLetPub ·
- 投稿到首次决定
- 3 天出版商官网 ·
- 外审后首次决定
- 66 天出版商官网 ·
- 投稿到接收
- 201 天出版商官网 ·
- 接收到发表
- 9 天出版商官网 ·
- 投稿到发表（期刊自报）
- 约 29 周DOAJ ·
- 评审方式
- 双盲同行评审DOAJ
社区反馈来自投稿者样本，置信度 0.5，不代表期刊承诺；“出版商公布”的时间节点定义以官网为准。
费用与开放获取
版面费与开放获取政策
完全开放获取DOAJ
所有文章开放获取，通常向作者收取文章处理费（APC）。
| 来源 | 文章处理费 | 费用减免 | 许可证 | 观测时间 |
|---|---|---|---|---|
| DOAJ | USD 2,230 | 有 | CC BY、CC BY-NC、CC BY-NC-ND | |
| OpenAlex | USD 2,190 / EUR 2,050 / GBP 1,750 / JPY 271,630 | — | — | |
| LetPub | USD 1,500 | 有 | — | |
| 出版商官网 | USD 2,790 | — | — |
- APC 费用说明 ↗DOAJ
- 费用减免政策 ↗DOAJ
- 开放获取声明 ↗DOAJ
- 许可与版权 ↗DOAJ
费用以期刊官网为准；不同来源的观测时间可能不同，页面保留各来源原值，不做平均。
投稿要求
文章类型与投稿政策（官网）
投稿准备要点5 项，摘自作者指南
- 摘要
- ≤ 250 词
- 关键词
- 1–7 个
- 参考文献格式
- 顺序编码制（按引用顺序编号）
- Highlights（研究亮点）
- 可选
- 图文摘要
- 可选
接收的文章类型20 种
- case studyTypes of ContributionsIJIM Data Insights recognizes that valuable research takes many forms . We welcome submissions in various formats:Traditional Research For…未说明篇幅
- data-driven conceptual papersData-driven conceptual papers proposing new frameworks or perspectives grounded in large-scale data analysis.未说明篇幅
- design science researchDesign Science Research focusing on design, creation and evaluation of innovative artifacts.未说明篇幅
- experimental and quasi-experimentalExperimental and Quasi-experimental investigating causal or correlative insight under controlled or observational conditions.未说明篇幅
- industry case studiesIndustry Case Studies providing detailed analyses of real-world applications.未说明篇幅
- large-scale data analytics studiesLarge-scale Data Analytics Studies utilizing extensive datasets to derive insights.未说明篇幅
- literature reviewTypes of ContributionsIJIM Data Insights recognizes that valuable research takes many forms . We welcome submissions in various formats:Traditional Research For…未说明篇幅
- longitudinal studiesLongitudinal Studies tracking developments over time.未说明篇幅
- methodological papersMethodological Papers introducing novel analytical or computational approaches with clear empirical demonstration.未说明篇幅
- observational studiesObservational Studies exploring real world phenomena through detailed field research.未说明篇幅
- opinionTypes of ContributionsIJIM Data Insights recognizes that valuable research takes many forms . We welcome submissions in various formats:Traditional Research For…未说明篇幅
- original research articlesOriginal Research Articles presenting empirical findings from quantitative, qualitative or mixed method studies.未说明篇幅
- perspectiveTypes of ContributionsIJIM Data Insights recognizes that valuable research takes many forms . We welcome submissions in various formats:Traditional Research For…未说明篇幅
- replication studiesReplication Studies validating or challenging existing findings.未说明篇幅
- research articleTypes of ContributionsIJIM Data Insights recognizes that valuable research takes many forms . We welcome submissions in various formats:Traditional Research For…未说明篇幅
- research opinionsResearch Opinions backed by empirical evidence, proposing new directions, or challenging exiting paradigm.未说明篇幅
- surveyTypes of ContributionsIJIM Data Insights recognizes that valuable research takes many forms . We welcome submissions in various formats:Traditional Research For…未说明篇幅
- survey-based researchSurvey-based Research with robust statistical analysis to analyze trends and relationships.未说明篇幅
- systematic literature reviews and meta analysesSystematic Literature Reviews and Meta Analyses with advanced analytical methods such as bibliometric analysis or scientometric analysis to synthesize existing …未说明篇幅
- theory development papersTheory Development Papers supported by empirical validation and advancing theoretical understanding in the field.未说明篇幅
官网政策摘录AI 使用、作者资格、利益冲突、许可与版权、开放获取、同行评审、预印本
- AI 使用 Declaration of generative AI use
作者在投稿时必须声明在稿件准备过程中使用生成式人工智能工具的情况。 模型中文摘要
Authors must declare the use of generative AI tools in the manuscript preparation process upon submission of the paper.Generative AI and AI-assisted technologies (“AI tools”) have been rapidly adopted in research and scholarly publishing, offering significant benefits while requiring clear standards for responsible and transparent use.Authors preparing a manuscript for this journal may use AI tool…
原文 ↗出版商官网 ·- 作者资格 Group authorship
团体署名须在投稿时于标题页声明，提交作者应在投稿系统的“Collaborative Author Groups”中登记该团体。 模型中文摘要
Group authorship refers to the attribution of an article to a defined and named group of authors whose members have contributed to the work. Examples include research consortia, clinical trial groups, collaborative networks, task forces or working groups, expert panels or consensus groups, and participatory research groups. Group authorship must be declared on the title page at submission. When av…
原文 ↗出版商官网 ·- 利益冲突 Declaration of competing interests
所有作者必须披露可能不当影响或偏颇其工作的财务和个人关系，并始终完成声明工具。 模型中文摘要
All authors must disclose any financial and personal relationships with other people or organizations that could inappropriately influence or bias their work. Examples of potential competing interests include:EmploymentConsultanciesStock ownershipHonorariaPaid expert testimonyPatent applications or registrationsGrants or any other fundingAffiliation with the journal as an Editor or Advisory Board …
原文 ↗出版商官网 ·- 许可与版权 License options
作者将获得开放获取用户许可选项，建议在选择许可前审查这些选项及资助机构的许可要求。 模型中文摘要
Authors will be offered open access user license options which will determine how you, and third parties, can reuse your open access article. We advise that you review these options and any funding body license requirements before selecting a license option.
原文 ↗出版商官网 ·- 开放获取 Open access
Open Data policy 模型摘要
We refer you to our open access information page to learn about open access options for this journal.
原文 ↗出版商官网 ·- 同行评审 Peer review
该期刊遵循双匿名评审流程，投稿通常至少由两名审稿人进行独立评审。 模型中文摘要
This journal follows a double anonymized review process. Your submission will initially be assessed by our editors. If your submission is deemed suitable, it will typically be sent to be reviewed by a minimum of two reviewers for an independent expert assessment of the scientific quality. The decision as to whether your article is accepted or rejected for publication will be made by our editors.Re…
原文 ↗出版商官网 ·- 预印本 Preprints
作者可按Elsevier文章共享政策分享预印本，分享预印本不计作先前发表。 模型中文摘要
Preprint sharingAuthors may share preprints in line with Elsevier's article sharing policy. Sharing preprints, such as on a preprint server, will not count as prior publication.We advise you to read our policy on multiple, redundant or concurrent publication.
原文 ↗出版商官网 ·
摘录来自期刊官网页面，仅保留原文片段；“模型摘要”由 Workers AI 生成并经原文校验，以官网为准。
基本信息
出版信息与官方入口
- 出版商
- Elsevier
- 出版国家或地区
- United Kingdom
- 出版语言
- English
- ISSN
- 2667-0968
- 官方链接
- 期刊主页 ↗DOAJ
- 投稿系统 ↗出版商官网
- 作者指南 ↗DOAJ
- Aims & Scope ↗DOAJ
- 专刊 / 特刊征稿 ↗出版商官网
- APC 费用说明 ↗DOAJ
- 费用减免政策 ↗DOAJ
- 开放获取声明 ↗DOAJ
- 许可与版权 ↗DOAJ
- 评审流程 ↗DOAJ
- 编委会 ↗DOAJ
- 查重政策 ↗DOAJ
常见问题
关于 International Journal of Information Management Data Insights 的常见问题
International Journal of Information Management Data Insights 的影响因子是多少？
期刊官网公布的影响因子为 31，属期刊自述数据，LetPub 暂无该刊的影响因子记录，CiteScore 为 25.1，h-index 为 68。
International Journal of Information Management Data Insights 的审稿周期多长？
出版商公布的投稿到接收时间约为 201 天；投稿社区反馈的平均审稿速度为约 15 周。文章统计只含被录用的稿件，出版商数据口径以官网为准，社区反馈来自投稿者样本，均不代表期刊承诺。
International Journal of Information Management Data Insights 的投稿格式要求是什么？
据期刊作者指南：摘要：≤ 250 词；关键词：1–7 个；参考文献格式：顺序编码制（按引用顺序编号）；Highlights：可选；图文摘要：可选。以上由模型从作者指南提取并逐项与原文核对，投稿前请以官网最新版本为准。
International Journal of Information Management Data Insights 的编委会里有中国学者吗？
期刊官网编委会页面上标注了国家的 125 位编委中，中国大陆 7 位（约 6%）；人数最多的国家是 美国（33 位）、印度（19 位）、澳大利亚（14 位）。统计按编委会页面列出的机构国家计，仅供参考。
International Journal of Information Management Data Insights 被哪些数据库收录？
据 LetPub 与 DOAJ 记录，International Journal of Information Management Data Insights 被 Scopus、DOAJ 收录。
International Journal of Information Management Data Insights 是开放获取期刊吗？版面费多少？
International Journal of Information Management Data Insights 为完全开放获取。APC 约 2,230 美元。
来源与更新
本页事实来自 LetPub、出版商官网、OpenAlex、DOAJ；每个数字旁标注来源与观测日期，冲突数据保留各来源原值。LetPub 原始详情页：查看 ↗（2026-08-26 归档）。最近更新：。