Applying artificial intelligence technique to predict knowledge hiding behavior     

《International Journal of Information Management》2019

Drawing on psychological ownership and social exchange theories, this study suggests theoretical arguments and empirical evidence for understanding employee reactions to distributive, procedural, and interactional (in)justice — three crucial bases of employees’ feelings of social self-worth. Utilizing field data and artificial intelligence technique, this paper reveals that distributive, procedural, and interactional (in)justice contribute to higher levels of knowledge hiding behavior among employees and that this impact is non-linear (asymmetric). By reuniting the discourses of organizational justice and knowledge management, this study indicates that feelings of psychological ownership of knowledge and the degree of social interaction are mechanisms that work with organizational (in)justice to influence knowledge hiding behavior. The current research may inform contemporary theories of business research and provide normative guidance for managers.  相似文献   

Setting the future of digital and social media marketing research: Perspectives and research propositions     

《International Journal of Information Management》2021

The use of the internet and social media have changed consumer behavior and the ways in which companies conduct their business. Social and digital marketing offers significant opportunities to organizations through lower costs, improved brand awareness and increased sales. However, significant challenges exist from negative electronic word-of-mouth as well as intrusive and irritating online brand presence. This article brings together the collective insight from several leading experts on issues relating to digital and social media marketing. The experts’ perspectives offer a detailed narrative on key aspects of this important topic as well as perspectives on more specific issues including artificial intelligence, augmented reality marketing, digital content management, mobile marketing and advertising, B2B marketing, electronic word of mouth and ethical issues therein. This research offers a significant and timely contribution to both researchers and practitioners in the form of challenges and opportunities where we highlight the limitations within the current research, outline the research gaps and develop the questions and propositions that can help advance knowledge within the domain of digital and social marketing.  相似文献   

In the hearts and minds of employees: A model of pre-adoptive appraisal toward artificial intelligence in organizations     

《International Journal of Information Management》2021

Organizations face increasing pressure to implement artificial intelligence (AI) within a variety of business processes and functions. Many perceived benefits surround AI, but a considerable amount of trepidation also exists because of the potential of AI to replace human employees and dehumanize work. Questions regarding the future of work in the age of AI are particularly salient in pre-adoption organizations, before employees have the opportunity to gain direct experience with AI. To cope with this potentially stressful situation, employees engage in cognitive appraisal processes based on their own knowledge and personal use of AI. These pre-adoptive appraisals of AI influence both affective and cognitive attitudes, which in turn trigger behavioral responses that influence an organization’s ability to leverage AI successfully. Our survey of 363 Taiwanese employees shows that perceptions of AI’s operational and cognitive capabilities are positively related to affective and cognitive attitudes toward AI, while concerns regarding AI have a negative relationship with affective attitude only. Interaction effects of employee knowledge and affective attitude are also observed. This work’s main contribution lies in the development of an empirically-tested model of the potential impact of AI on organizations from an employee perspective in the pre-adoption phase. These results have practical implications for how organizations prepare for the arrival of this transformative technology.  相似文献   

高等学校情报研究发展战略的探讨   总被引：1，自引：0，他引：1  

徐英 《情报科学》2002,20(1):23-25,27

本文从经济体制转思的背景出发，分析了高等学校情报工作的前途和出路，从高等学校情报工作的特点论述科研工作的指导思想、作法和任务，明确提出建立多学科、多元化情报研究群体这一运作机制，并在此基础上提出高等学校情报研究发展战略的建议。  相似文献   

智能仿生技术研究新进展     

李慧  魏新利 《科技广场》2005,(10):121-123

智能仿生技术在我国的应用地位已经愈来愈重要.本文综述了智能仿生技术在生物医学领域、人工智能探索、新材料的开发、机械制造及化工领域等方面的新进展与前景.  相似文献   

基于粒子群优化算法的中小企业竞争情报搜集系统模型     

王洪林  刘伟 《科技管理研究》2021,41(21):196-203

以粒子群优化算法为基本理论,结合我国中小企业目前对竞争情报的迫切需求和开展竞争情报工作的困难,利用跨学科分析法和仿真实验检验法,构建一个适用于中小企业的竞争情报"粒子搜索模型".该模型充分调用各粒子"经验"寻找全局最优解,用以为我国中小企业构建低成本、高收益、易组织管理的竞争情报搜集系统模型提供参考.  相似文献   

如何界定情报信息的寿命   总被引：1，自引：0，他引：1  

刘衍双  史蔷 《情报科学》2004,22(3):276-278

本文以传统情报文献信息与现代情报信息的特性差异为切入点，认真分析了情报文献信息内涵的变化与发展，比较与求证决定情报文献信息寿命的诸多要素，最终导出科学的情报信息寿命观，这对于正确指导现代网络环境下情报信息工作的实践具有重要意义。  相似文献   

Redesigning chat forum for critical thinking in a problem-based learning environment     

Akcell Chii-Chung Chiang  Isaac Pak-Wah Fung 《The Internet and Higher Education》2004,7(4):311-328

Support is needed to promote problem-based learning (PBL) and to enhance critical thinking skills in discussion-based Internet forums. By advancing the capabilities of chat room and forum software, problem-based discussions for learning can be supported further in online learning environments. In this paper, the authors report on MALESAbrain, an intelligent learning tool. The model is built on the notions of threshold and knowledge weight from the discipline of machine learning. The model encourages learners to judge or critically evaluate the solutions posted by others before exploring further knowledge content. The system then sums up the judgment scores as its knowledge weight to pass the thresholds setup for ranking/arranging the learning issues. This constraint design, therefore, becomes a mechanism for critical thinking in a problem-based learning activity. MALESAbrain as a model helps transform the forum and chat room into rich learning discussion environments.  相似文献   

面向课堂教学评价的形式化建模与智能计算     

张立山  冯硕  李亭亭 《现代远程教育研究》2021,(1)

随着课堂教学从固化单一的教师传授,向强调小组协作参与的教学转变,如何面向以协作学习为基本特征的课堂实施形成性评价已成为教学评价改革亟需解决的问题。在智能技术支持下,形式化建模可以将复杂多变的课堂教学过程解构,形成数理模型;智能计算可以通过算法评估学生学习状态,并根据教学原则生成教学辅助信息。二者的结合可以促进人类智能与机器智能的有效融合,形成人机协同的课堂评价机制。面向课堂教学评价的形式化建模与智能计算通用架构,自下而上包含教与学行为的感知和存储、教与学行为评估模型的构建、教与学状态的智能计算和教学辅助信息的生成四个部分。前两部分着重对教育情境和问题的表征,是形式化建模的关键步骤;后两部分着重具体技术路线的实现,是智能计算的具体过程和功能体现。整个系统以教与学行为的感知和存储为基础,通过构建评估模型,确定模型的输出;然后引入智能算法对模型进行计算,达成对教与学状态的评估;最后根据相应教学原则,自动生成辅助教师进行课堂教学评价的信息。该通用架构以及人机协同教学、评价机制的进一步完善需要研究者携手教师进行"共同设计",协同教育学、计算机科学、心理学等多学科进行交叉研究。  相似文献   

“人工智能+教育”的困境根源及应对     

李中良  王孝龙 《民族高等教育研究》2021,(1)

以云计算、大数据和深度学习为核心驱动力的人工智能正在如火如荼地开展,它与教育的深度融合(“人工智能+教育”)正在不断变革教育理念、更新教育手段、丰富教育内容。人工智能在教育领域不断推进应用之时,围绕它的批判声也络绎不绝。究其根源而言,人工智能试图驰骋于整个教育疆域但却力不从心,人工智能与教育深度融合过程中出现的新问题使它步履维艰。以此为根,人工智能应用于教育领域而招致的批判具体表现为三个方面:“人工智能+教育”系统、工具的安全性能无法保障,教育数据隐私泄露,教师主导地位沉沦。基于此,可以制定统一的“人工智能+教育”系统、工具开发与设计标准,利用区块链技术保护教育数据隐私,划定人工智能在教育领域的应用边界,从而拨开“人工智能+教育”前行中的重重迷雾。  相似文献