在数字化背景下,企业创新绩效的提升不仅是企业竞争力的核心要素,也是推动社会经济高质量发展的关键动力。本文运用CiteSpace对数字化背景下企业创新绩效研究进行文献计量学分析,揭示该领域的发展轨迹与热点。研究发现:该领域研究历经...在数字化背景下,企业创新绩效的提升不仅是企业竞争力的核心要素,也是推动社会经济高质量发展的关键动力。本文运用CiteSpace对数字化背景下企业创新绩效研究进行文献计量学分析,揭示该领域的发展轨迹与热点。研究发现:该领域研究历经了从理论基础探索、技术应用快速增长,到策略优化与可持续性深度融合过程;核心作者与研究机构虽存在一定的合作密度,但整体合作仍有待挖掘;关键词分析显示研究热点从“创新绩效”、“大数据”、“人工智能”等技术驱动因素,逐步转向“绿色创新”、“双元创新”等策略性与可持续性研究,从技术层面深入到管理、战略及环境适应性等多维度。未来,研究应注重跨学科融合、中小企业数字化转型策略深化、长期创新绩效以及绿色可持续性评估。In the context of digitalization, the improvement of enterprise innovation performance is not only a core element of enterprise competitiveness but also a key driving force to promote the high-quality development of the social economy. This paper uses CiteSpace to conduct a bibliometric analysis of the research on enterprise innovation performance in the context of digitalization to reveal the development trajectory and hotspots in this field. The study finds that: The research in this field has gone through a process of rapid growth from the exploration of theoretical foundation and application of technology to the optimization of strategy and the deep integration of sustainability;although there is a certain degree of cooperation density between the core authors and research institutes, the overall cooperation still needs to be explored;keyword analysis shows that the research hotspots have gradually shifted from technology-driven factors such as “innovation performance”, “big data” and “artificial intelligence” to strategic and sustainable factors such as “green innovation” and “dual innovation”. It has moved from technology to management, strategy, and environmental adaptability. In the future, research should focus on interdisciplinary integration, deepening of SMEs’ digital transformation strategies, long-term innovation performance, and green sustainability assessment.展开更多
基于比亚迪新能源汽车发展现状,运用SWOT-AHP分析法对其优势、劣势、机遇与威胁进行定性和定量分析。结果表明:比亚迪新能源汽车应优先选择SO发展战略,并据此提出持续技术创新,智能化升级,产业链整合优化,拓展国际市场的对策建议,以期...基于比亚迪新能源汽车发展现状,运用SWOT-AHP分析法对其优势、劣势、机遇与威胁进行定性和定量分析。结果表明:比亚迪新能源汽车应优先选择SO发展战略,并据此提出持续技术创新,智能化升级,产业链整合优化,拓展国际市场的对策建议,以期为比亚迪新能源汽车发展提供参考依据。Based on the current development status of BYD’s new energy vehicles, a qualitative and quantitative analysis was conducted using the SWOT-AHP method to assess its strengths, weaknesses, opportunities, and threats. The results indicate that BYD’s new energy vehicles should prioritize the SO development strategy. Accordingly, this study proposes countermeasures such as continuous technological innovation, intelligent upgrades, optimization of industrial chain integration, and expansion into international markets. These suggestions aim to provide a reference for the development of BYD’s new energy vehicles.展开更多
阿尔兹海默症发病早期症状不明显,被确诊时往往已步入中晚期。为了通过日常活动的视频监控提早识别阿尔兹海默症,提出了基于时空双流网络的阿尔兹海默症先兆动作识别方法(premonitory behavioral identification of Alzheimer’s diseas...阿尔兹海默症发病早期症状不明显,被确诊时往往已步入中晚期。为了通过日常活动的视频监控提早识别阿尔兹海默症,提出了基于时空双流网络的阿尔兹海默症先兆动作识别方法(premonitory behavioral identification of Alzheimer’s disease base on spatiotemporal two-stream networks,STADP)。首先,从阿尔兹海默症对人体机能的负面影响角度出发,基于医学研究成果定义了日常活动中的阿尔兹海默症先兆动作,构建了阿尔兹海默症先兆动作数据集(Alzheimer’s disease premonitory action dataset,ADP),给出了基于关键帧的视频数据处理算法;其次,将基于三维卷积模型的空间特征提取模块与基于Transformer模型的时间特征提取模块结构相融合,设计了时空双流网络以捕捉阿尔兹海默先兆动作的特征,从而形成了STADP算法;最后,对不同特征融合权重的模型性能进行比较,获得了STADP的最优工作参数。与2种模型的对比实验结果表明:STADP的平均识别准确率、精确度、召回率以及F1值均优于比较算法,分别为83.21%、84.61%、83.14%和82.14%。本研究将为日常活动数据驱动的阿尔兹海默症先兆动作智能感知提供方法与实现手段。展开更多
文摘在数字化背景下,企业创新绩效的提升不仅是企业竞争力的核心要素,也是推动社会经济高质量发展的关键动力。本文运用CiteSpace对数字化背景下企业创新绩效研究进行文献计量学分析,揭示该领域的发展轨迹与热点。研究发现:该领域研究历经了从理论基础探索、技术应用快速增长,到策略优化与可持续性深度融合过程;核心作者与研究机构虽存在一定的合作密度,但整体合作仍有待挖掘;关键词分析显示研究热点从“创新绩效”、“大数据”、“人工智能”等技术驱动因素,逐步转向“绿色创新”、“双元创新”等策略性与可持续性研究,从技术层面深入到管理、战略及环境适应性等多维度。未来,研究应注重跨学科融合、中小企业数字化转型策略深化、长期创新绩效以及绿色可持续性评估。In the context of digitalization, the improvement of enterprise innovation performance is not only a core element of enterprise competitiveness but also a key driving force to promote the high-quality development of the social economy. This paper uses CiteSpace to conduct a bibliometric analysis of the research on enterprise innovation performance in the context of digitalization to reveal the development trajectory and hotspots in this field. The study finds that: The research in this field has gone through a process of rapid growth from the exploration of theoretical foundation and application of technology to the optimization of strategy and the deep integration of sustainability;although there is a certain degree of cooperation density between the core authors and research institutes, the overall cooperation still needs to be explored;keyword analysis shows that the research hotspots have gradually shifted from technology-driven factors such as “innovation performance”, “big data” and “artificial intelligence” to strategic and sustainable factors such as “green innovation” and “dual innovation”. It has moved from technology to management, strategy, and environmental adaptability. In the future, research should focus on interdisciplinary integration, deepening of SMEs’ digital transformation strategies, long-term innovation performance, and green sustainability assessment.
文摘基于比亚迪新能源汽车发展现状,运用SWOT-AHP分析法对其优势、劣势、机遇与威胁进行定性和定量分析。结果表明:比亚迪新能源汽车应优先选择SO发展战略,并据此提出持续技术创新,智能化升级,产业链整合优化,拓展国际市场的对策建议,以期为比亚迪新能源汽车发展提供参考依据。Based on the current development status of BYD’s new energy vehicles, a qualitative and quantitative analysis was conducted using the SWOT-AHP method to assess its strengths, weaknesses, opportunities, and threats. The results indicate that BYD’s new energy vehicles should prioritize the SO development strategy. Accordingly, this study proposes countermeasures such as continuous technological innovation, intelligent upgrades, optimization of industrial chain integration, and expansion into international markets. These suggestions aim to provide a reference for the development of BYD’s new energy vehicles.
文摘阿尔兹海默症发病早期症状不明显,被确诊时往往已步入中晚期。为了通过日常活动的视频监控提早识别阿尔兹海默症,提出了基于时空双流网络的阿尔兹海默症先兆动作识别方法(premonitory behavioral identification of Alzheimer’s disease base on spatiotemporal two-stream networks,STADP)。首先,从阿尔兹海默症对人体机能的负面影响角度出发,基于医学研究成果定义了日常活动中的阿尔兹海默症先兆动作,构建了阿尔兹海默症先兆动作数据集(Alzheimer’s disease premonitory action dataset,ADP),给出了基于关键帧的视频数据处理算法;其次,将基于三维卷积模型的空间特征提取模块与基于Transformer模型的时间特征提取模块结构相融合,设计了时空双流网络以捕捉阿尔兹海默先兆动作的特征,从而形成了STADP算法;最后,对不同特征融合权重的模型性能进行比较,获得了STADP的最优工作参数。与2种模型的对比实验结果表明:STADP的平均识别准确率、精确度、召回率以及F1值均优于比较算法,分别为83.21%、84.61%、83.14%和82.14%。本研究将为日常活动数据驱动的阿尔兹海默症先兆动作智能感知提供方法与实现手段。
