This study aims at investigating the AIS （Agricultural Information System） in Hamedan province, Iran, benefiting from the list of criteria for well functioning AISs that were identified in earlier researches. For th...This study aims at investigating the AIS （Agricultural Information System） in Hamedan province, Iran, benefiting from the list of criteria for well functioning AISs that were identified in earlier researches. For this purpose, a survey method with multi-stage stratified random sampling technique was used to select 31 agricultural researchers, and 62 extension workers in the province. The data were acquired by questionnaire and structured interviews. The instrument for data collection was subjected to pre-testing, validation and reliability tests. The results of the factor analysis revealed that the criteria could be categorized into four overarching groups based on their inter-correlation. The analysis of mentioned criteria in Hamedan province AIS showed less efficiency and effectiveness than studies conducted in other areas. But among these, two desirable criteria existed. It is recommended that the ecological knowledge system （EKS） should be integrated with AIS, and some ecological and sustainable development criteria should be added to the existing ones.展开更多
This study aims to explore the application of SysTrust Theory in Accounting Information Systems(AIS)through a systematic literature review.SysTrust Theory,developed by the AICPA(2017),focuses on the reliability of inf...This study aims to explore the application of SysTrust Theory in Accounting Information Systems(AIS)through a systematic literature review.SysTrust Theory,developed by the AICPA(2017),focuses on the reliability of information systems by assessing aspects such as availability,integrity,security,confidentiality,and privacy.This study analyzed several related articles published between 2012 and 2025,identifying the positive impacts of implementing SysTrust Theory on AIS effectiveness,business performance,financial reporting quality,and organizational commitment.The results showed that integrity was the most dominant factor in improving AIS reliability,followed by security and privacy.The implementation of SysTrust has also been shown to reduce the risk of fraud,improve the accuracy of financial data,and support strategic decision making.However,challenges such as user uncertainty about electronic payment systems and technology adaptation continue to be obstacles.This study recommends the need to improve system quality,educate users,and strengthen internal controls to optimize the benefits of SysTrust Theory in business practices.展开更多
The rapid development of Artificial Intelligence(AI)has profoundly reshaped numerous scientific and technological domains,including cartography and geographic information science[1].AI techniques—particularly deep le...The rapid development of Artificial Intelligence(AI)has profoundly reshaped numerous scientific and technological domains,including cartography and geographic information science[1].AI techniques—particularly deep learning and generative models—have exhibited significant potential in automating diverse cartographic processes,including design,visualization,generation,and application.Despite these advancements,challenges remain concerning AI’s interpretability and transparency,which are fundamental to the usability of maps.展开更多
[目的/意义]在“AI for Science”逐渐被视为科学研究“第五范式”的背景下,人工智能(AI)正对信息资源管理(IRM)领域的研究过程与学科范畴带来深远影响。然而,目前尚缺乏从学科全局出发,基于系统性理论工具对AI在IRM领域的应用与影响进...[目的/意义]在“AI for Science”逐渐被视为科学研究“第五范式”的背景下,人工智能(AI)正对信息资源管理(IRM)领域的研究过程与学科范畴带来深远影响。然而,目前尚缺乏从学科全局出发,基于系统性理论工具对AI在IRM领域的应用与影响进行的综合性考察。文章基于I-model理论,探索AI赋能IRM研究的关键要素、作用机理及未来挑战,旨在为学科研究与实践提供新思路。[方法/过程]通过文献调研与典型案例分析,总结人工智能驱动信息资源管理(AI4IRM)的核心内容与关键路径;从I-model理论的“信息—技术—人员—组织/社会”四个维度,解析AI在信息检索、知识发现与管理、数据处理与分析等具体场景中的创新应用;对面向未来的发展趋势和潜在风险进行全面审视。[结果/结论]AI在提升信息分析精度、决策支持效率以及知识服务能力方面展现出巨大潜力,但在大数据质量、算法偏见、隐私与伦理规范等层面仍存在现实挑战。I-model理论有助于理解AI驱动下IRM领域的动态关联与复杂性,为进一步推进跨学科交叉研究与科学决策提供了理论支撑和实践参考。展开更多
文摘This study aims at investigating the AIS （Agricultural Information System） in Hamedan province, Iran, benefiting from the list of criteria for well functioning AISs that were identified in earlier researches. For this purpose, a survey method with multi-stage stratified random sampling technique was used to select 31 agricultural researchers, and 62 extension workers in the province. The data were acquired by questionnaire and structured interviews. The instrument for data collection was subjected to pre-testing, validation and reliability tests. The results of the factor analysis revealed that the criteria could be categorized into four overarching groups based on their inter-correlation. The analysis of mentioned criteria in Hamedan province AIS showed less efficiency and effectiveness than studies conducted in other areas. But among these, two desirable criteria existed. It is recommended that the ecological knowledge system （EKS） should be integrated with AIS, and some ecological and sustainable development criteria should be added to the existing ones.
文摘This study aims to explore the application of SysTrust Theory in Accounting Information Systems(AIS)through a systematic literature review.SysTrust Theory,developed by the AICPA(2017),focuses on the reliability of information systems by assessing aspects such as availability,integrity,security,confidentiality,and privacy.This study analyzed several related articles published between 2012 and 2025,identifying the positive impacts of implementing SysTrust Theory on AIS effectiveness,business performance,financial reporting quality,and organizational commitment.The results showed that integrity was the most dominant factor in improving AIS reliability,followed by security and privacy.The implementation of SysTrust has also been shown to reduce the risk of fraud,improve the accuracy of financial data,and support strategic decision making.However,challenges such as user uncertainty about electronic payment systems and technology adaptation continue to be obstacles.This study recommends the need to improve system quality,educate users,and strengthen internal controls to optimize the benefits of SysTrust Theory in business practices.
文摘The rapid development of Artificial Intelligence(AI)has profoundly reshaped numerous scientific and technological domains,including cartography and geographic information science[1].AI techniques—particularly deep learning and generative models—have exhibited significant potential in automating diverse cartographic processes,including design,visualization,generation,and application.Despite these advancements,challenges remain concerning AI’s interpretability and transparency,which are fundamental to the usability of maps.
文摘[目的/意义]在“AI for Science”逐渐被视为科学研究“第五范式”的背景下,人工智能(AI)正对信息资源管理(IRM)领域的研究过程与学科范畴带来深远影响。然而,目前尚缺乏从学科全局出发,基于系统性理论工具对AI在IRM领域的应用与影响进行的综合性考察。文章基于I-model理论,探索AI赋能IRM研究的关键要素、作用机理及未来挑战,旨在为学科研究与实践提供新思路。[方法/过程]通过文献调研与典型案例分析,总结人工智能驱动信息资源管理(AI4IRM)的核心内容与关键路径;从I-model理论的“信息—技术—人员—组织/社会”四个维度,解析AI在信息检索、知识发现与管理、数据处理与分析等具体场景中的创新应用;对面向未来的发展趋势和潜在风险进行全面审视。[结果/结论]AI在提升信息分析精度、决策支持效率以及知识服务能力方面展现出巨大潜力,但在大数据质量、算法偏见、隐私与伦理规范等层面仍存在现实挑战。I-model理论有助于理解AI驱动下IRM领域的动态关联与复杂性,为进一步推进跨学科交叉研究与科学决策提供了理论支撑和实践参考。
