This study explores the integration of predictive analytics in strategic corporate communications, with a specific focus on stakeholder engagement and crisis management. Our mixed-methods approach, which combines a co...This study explores the integration of predictive analytics in strategic corporate communications, with a specific focus on stakeholder engagement and crisis management. Our mixed-methods approach, which combines a comprehensive literature review with case studies of five multinational corporations, allows us to investigate the applications, challenges, and ethical implications of leveraging predictive models in communication strategies. While our findings reveal significant potential for enhancing personalized content delivery, real-time sentiment analysis, and proactive crisis management, we stress the need for careful consideration of challenges such as data privacy concerns and algorithmic bias. This emphasis on ethical implementation is crucial in navigating the complex landscape of predictive analytics in corporate communications. To address these issues, we propose a framework that prioritizes ethical considerations. Furthermore, we identify key areas for future research, thereby contributing to the evolving field of data-driven communication management.展开更多
随着管理信息化系统中业务数据量的日益增加,使得系统性能下降和物理磁盘空间的增长。本文介绍了一种数据生命周期管理解决方案ADLM(Academia Resource Planning System Data Lifecycle Manage,简称ADLM),在不增加硬件成本情况下,使用...随着管理信息化系统中业务数据量的日益增加,使得系统性能下降和物理磁盘空间的增长。本文介绍了一种数据生命周期管理解决方案ADLM(Academia Resource Planning System Data Lifecycle Manage,简称ADLM),在不增加硬件成本情况下,使用程序控制方法,达到系统性能优化和实现历史数据归档保存的目的。主要解决了具有时间周期特性的业务数据的分类管理、在线归档、离线存储等问题,对业务数据归档策略、分级存储实现和归档数据查询等关键问题进行了分析,最后通过实际应用,证明本技术方案可以方便快捷地实现业务处理性能的提升和对磁盘空间使用需求无限增长的有效控制。展开更多
文摘This study explores the integration of predictive analytics in strategic corporate communications, with a specific focus on stakeholder engagement and crisis management. Our mixed-methods approach, which combines a comprehensive literature review with case studies of five multinational corporations, allows us to investigate the applications, challenges, and ethical implications of leveraging predictive models in communication strategies. While our findings reveal significant potential for enhancing personalized content delivery, real-time sentiment analysis, and proactive crisis management, we stress the need for careful consideration of challenges such as data privacy concerns and algorithmic bias. This emphasis on ethical implementation is crucial in navigating the complex landscape of predictive analytics in corporate communications. To address these issues, we propose a framework that prioritizes ethical considerations. Furthermore, we identify key areas for future research, thereby contributing to the evolving field of data-driven communication management.
文摘随着管理信息化系统中业务数据量的日益增加,使得系统性能下降和物理磁盘空间的增长。本文介绍了一种数据生命周期管理解决方案ADLM(Academia Resource Planning System Data Lifecycle Manage,简称ADLM),在不增加硬件成本情况下,使用程序控制方法,达到系统性能优化和实现历史数据归档保存的目的。主要解决了具有时间周期特性的业务数据的分类管理、在线归档、离线存储等问题,对业务数据归档策略、分级存储实现和归档数据查询等关键问题进行了分析,最后通过实际应用,证明本技术方案可以方便快捷地实现业务处理性能的提升和对磁盘空间使用需求无限增长的有效控制。
