档案数字化立法保护探索

档案数字化的发展要求相关立法的跟进,本文通过分析档案数字化进程,论述了我国档案数字化立法的现状,提出了未来档案数字化立法的关键点和加强保护的设想,有助于档案数字化建设的健康发展。     

人力资源总量配置供需研究——以江苏省南京市地税系统为例

人力资源管理的最终目标是进行人力资源配置。政府部门的人力资源配置有其自身的局限性。文章以江苏省南京市地税系统为例,针对其是否存在人员总量配置矛盾,从人力资源总量供给和需求两个层面进行深入探讨,通过对总量供给及总量需求的比较,确定矛盾的真实存在,进而找出产生矛盾的原因。     

一种基于新的复合混沌模型的图像水印算法

本文围绕中日经贸结构上的互补性、中日贸易的基本特点以及中日贸易存在的问题与相应对策这3个层面作了系统而简要的论述。指出:在经济日趋全球化的大背景下,中日两国在经贸领域展开进一步的合作与交流具有极其深远的战略意义。     

价值链治理模式及其拓展研究

格里芬价值链治理模式是目前价值链治理理论中经典的理论模型,但是在新的历史背景下,在产业集群中存在着特定的人文因素和新时期行业协会、政府等公共机构政策都对价值链治理及其价值链上利润的分布产生了重要的影响。本文在格里芬价值链治理模式决定的因素上进行拓展,加入人文因素和公共机构权力因素来进一步完善其治理模式。     

论大众传媒载体在高校思想政治教育中的应用

大众传媒是指面向大众传播信息、知识、观念、娱乐等社会信息的媒体.随着大众传媒的飞速发展,其正成为大学生获取信息和社会生存资源的重要途径,也是环绕于高校思想政治教育的重要现实环境,给高校思想政治教育带来了积极和消极的双重影响.因此高校思想政治教育者有必要加强对大众传媒载体的研究和建设,以应对大众传媒发展带来的新情况、新问...     

标准地土地供应模式对城市绿色全要素生产率的影响效果及作用机制研究——基于PSM-DID的经验证据

研究目的：探究标准地土地供应模式对城市绿色全要素生产率的影响效果及作用机制，为推动经济高质量发展建言献策。研究方法：PSM-DID，中介效应模型。研究结果：（1）标准地土地供应模式的实施显著促进了城市绿色全要素生产率的提升。（2）从机制分析来看，工业结构优化和创新水平提升是标准地土地供应模式助力城市绿色全要素生产率提升的重要作用路径。相较于创新水平提升，工业结构优化在标准地土地出让模式影响城市绿色全要素生产率的过程中发挥着更加重要的中介作用。研究结论：地方政府应结合自身发展目标和现状，通过持续推行标准地土地供应模式，引导工业结构优化转型、鼓励内部技术创新和外部先进技术引进等措施促进城市绿色全要素生产率提升，助力经济高质量发展。     

Factors influencing buying behavior of Lebanese consumers towards fashion brands during economic crisis: A qualitative study

The purpose of this article is to contribute to an understanding of the impact of the Lebanese economic crisis on fashion buying behavior. It uses a qualitative approach by conducting semi-structured interviews with 29 Lebanese consumers. The study reveals that consumer fashion purchases are motivated by emotional, social, and functional drivers. It also indicates that subjective norms, such as societal and cultural values dictate buying behaviors. The findings provide further insights into social media and highlight its influence on shaping trends and making fashion products desirable. The article concludes that Lebanese consumers exhibit impulsive buying behavior, and explains how fashion brands can remain relevant amidst a wrenching economic crisis.     

Adverse effect of social media on generation Z user's behavior: Government information support as a moderating variable

Social media emerged as a primary source of information among young users, but its severe effect on mental state due to information overload, still an area of concern for the researchers. Generation Z users' addiction to the mobile phone/gadgets is increasing with a rise in social media and consequently their behavioral outcomes have transformed completely. Nowadays behavioral issues including stress, fatigue, ‘fear of missing out’ and ‘phubbing’, anxiety etc. rising each day but the relationship among these issues and information overload is less examined. The social media users are unable to filter the trustworthy information due to its enormous size and thus role of information support from government becomes essential. The current study extends the S-O-R theory exploring relationship between the stimulus of enormous information on the responses generated among the Generation Z such as social media fatigue, ‘fear of missing out’, ‘phubbing’ and anxiety. The findings from a sample of 319 users belonging to Generation Z suggest that social media platforms need to understand user's compulsive usage that is resulting into fatigue and consequently anxiety. The role of government information support on reducing fatigue and anxiety is found to be positive. The relationship between ‘fear of missing out’, ‘phubbing’ and anxiety is found significant and shows presence of partial mediation. The study offers significant theoretical and practical implications. It is significant for the service providers and social media platforms to advance interfaces with minimum fatigue for the users and offers information support to the users to reduce stress caused by information load.     

The new wave of AI-powered luxury brands online shopping experience: The role of digital multisensory cues and customers’ engagement

Academic literature retains a dearth of empirical evidence of the cutting-edge aspect of artificial intelligence (AI)-powered digital assistance and digital multisensory cues, despite the prospect of these factors on real-life customers' luxury brand online shopping experience. Thus, the aim of this study is to examine the significant pathway and effects of AI-powered digital assistance toward customers’ luxury brand online shopping experience. Drawing on S–O-R (Stimulus, organism, and response) and TRAM (Technology Readiness and Acceptance Model) paradigm, a multi-method research design was deployed to investigate constructs. Firstly, semi-structured interviews were utilized to explore customers' online behavior under the luxury brands and information technology aspect. Secondly, survey data were collected and analyzed by using partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA). The PLS-based analysis of quantitative data confirmed the exploratory insights of qualitative findings, establishing the connections of AI-powered digital assistance, customer engagement, and customers' luxury brand online shopping experience. Research findings also suggest that customer engagement plays a mediation role in the relationship between AI-powered digital assistance and customers' luxury brand online shopping experience. Besides, digital multisensory cues moderate the relationship between AI-powered digital assistance and customer engagement. Further, fsQCA complements the findings of PLS-SEM that reveal the significant combination of factors that lead to the perceptions of customers' luxury brand online shopping experience.