我国商情数据库建设与策略研究

随着我国数据库产业的蓬勃发展,商情数据库的开发和利用日益显露出其重要性。本文阐述了我国商情数据库建设及其存在的问题,提出了发展我国商情数据库的一些策略。     

无粘可压缩旋转流稳定性准则的讨论

The stability condition for compressible and incompressible swirling flow is discussed and compared. It is found that Eckhoff and Storesletten's necessary condition for stability of inviscid compressible swirling flow seems incorrect.     

Discussion on Stability Criterion of Inviscid Compressible Swirling Flow

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Facework Strategies of Sri Lankans Working in Australia

This study unfolds the facework (communicative) strategies of Sri Lankans in comparison to Australians working in Australia, the values of Sri Lankans, and how they have adapted to Australian culture. A survey-questionnaire based on Oetzel and Ting-Toomey's Face Negotiation Model, and interviews were done in this investigation. The study revealed Sri Lankans are higher in interdependent self-construal, self-face concern, and other face concern than Australians, nevertheless, similar to Australians in other facework strategies. Sri Lankans do not change their values by living in Australia, yet make some changes to how they do things as adopting to work practices and the routine in Australia.     

高校校园网流量分析与控制

现在校园网的运营管理面临着三大挑战:P2P应用、垃圾邮件和病毒攻击造成的带宽的滥用;网络速度慢,网络出口堵塞,计费网关和防火墙过载;缺乏有效的监控手段,QoS部署效果差。本文主要结合江西师范大学的实际情况,对该校的校园网流量进行应用分析,并通过相关设备和手段调整各个应用对带宽的消耗,保障关键应用的稳定运行。     

知识链管理在图书馆工作中的应用研究

知识链管理是促进知识共享和知识创新的有效知识管理方法,旨在提高组织的核心竞争力。文章在现有知识链研究的基础上,将知识链管理运用到图书馆的业务流程中,建立了基于业务流程的知识链管理体系。参考文献6。     

用多Agent和网络数据流测试应用软件性能的方法

现代的信息系统中新型软件架构层出不穷,软硬件和网络通讯之间的相互关联作用日益复杂,加大了系统性能瓶颈查找的难度。本文探讨如何通过多智能代理技术等方法,截取、分析和回放网络数据流来评价软件系统的性能。     

The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions

Artificial Intelligence tools have attracted attention from the literature and business organizations in the last decade, especially by the advances in machine learning techniques. However, despite the great potential of AI technologies for solving problems, there are still issues involved in practical use and lack of knowledge as regards using AI in a strategic way, in order to create business value. In this context, the present study aims to fill this gap by: providing a critical literature review related to the integration of AI to organizational strategy; synthetizing the existing approaches and frameworks, highlighting the potential benefits, challenges and opportunities; presenting a discussion about future research directions. Through a systematic literature review, research articles were analyzed. Besides gaps for future studies, a conceptual framework is presented, discussed according to four sources of value creation: (i) decision support; (ii) customer and employee engagement; (iii) automation; and (iv) new products and services. These findings contribute to both theoretical and managerial perspectives, with extensive opportunities for generating novel theory and new forms of management practices.     

Assimilation of business intelligence: The effect of external pressures and top leaders commitment during pandemic crisis

The business intelligence (BI) has been often touted as a game-changer especially during the pandemic crisis. Although most managers are familiar with BI and agree that, it should be operationalized across their organizations. The BI is not well assimilated throughout adopting organizations. Rooted in institutional and upper echelon theories, this study proposes a theoretical model aimed toward explaining BI assimilation. We surveyed 174 respondents occupying leadership positions from174 auto-components manufacturing firms in India to gather data. The findings suggest that normative and mimetic (but not coercive) factors significantly influence top leader’s commitment to the BI initiatives. We found that the commitment of the top leaders influences the assimilation of BI via acceptance and routinization. Our study is an attempt to address the previous research calls related to BI assimilation. The findings of the study inform the information management scholars via theory-based research on phenomena related to post-adoption BI diffusion during a pandemic crisis. Practitioners can utilize the results of our study to design their policies that help assimilate BI such that forecasted benefits can be fully realized during an uncertain time.     

The double side of flow in regret and product returns: Maximizers versus satisficers

While the positive aspects of the flow state have been widely researched, the effects of being aware of this state and the negative consequences still need to be explored. The loss of awareness that flow state may bring can lead to the purchase of products that consumers afterward regret and want to return them. This research aims to understand flow consciousness's effect on consumer post-purchase regret from a dual perspective (process and outcome regret). The relevance of these relationships is also examined by analyzing the differences between 2 groups: maximizers and satisficers consumers. Through a structural equation model based on covariances tested with EQS 6.4, the results show that flow consciousness generates process regret but not outcome regret. However, the differences found between the two groups are worth noting. The research sheds light on the effect of flow consciousness on regret and provides insight into the mechanism of product return through post-purchase regret. The theoretical and managerial implications for e-commerce retailers are discussed.