检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:石路瑶 Luyao Shi(Yunnan Yuntianhua Huajiangpu Technology Co,.Ltd)
机构地区:[1]云南云天化花匠铺科技有限责任公司,650228
出 处:《管理科学与研究(中英文版)》2024年第5期132-137,共6页Management Science and Research
摘 要:本研究深入探讨了大数据在玫瑰鲜切花市场趋势预测与决策中的应用,突出其在现代农产品市场分析中的重要性。在全球范围内,作为花卉产业的重要部分,玫瑰鲜切花市场不仅具有经济价值,同时也承载着丰富的文化意义。面临着供应链复杂性、保鲜期限短暂及消费者偏好多变等挑战,市场趋势预测与决策显得尤为困难。通过分析海量销售数据、社交媒体反馈以及气候变化信息,大数据技术揭示了市场趋势、消费者行为和潜在风险,提供了前所未有的精确度和效率。研究指出,这种技术在预测市场需求、优化供应链管理和制定定价策略方面具有显著作用。此外,本文也探讨了利用大数据分析玫瑰鲜切花市场的重要研究价值和实际应用前景,强调了在快速变化的市场环境下,如何利用大数据技术深入理解和应对市场的挑战。研究结果不仅为玫瑰鲜切花市场提供了宝贵的洞见,也为其他花卉市场的研究提供了参考,展示了大数据在农产品市场分析中的广泛应用潜力。This study delves deeply into the application of big data in predicting market trends and decision-making within the rose cut flower market,highlighting its significance in the analysis of the modern agricultural product market.Globally,as an integral part of the floral industry,the rose cut flower market not only holds economic value but also carries rich cultural significance.Faced with challenges such as complex supply chains,short preservation periods,and varying consumer preferences,predicting market trends and making decisions become particularly challenging.Through analyzing vast amounts of sales data,social media feedback,and information on climate change,big data technology reveals market trends,consumer behavior,and potential risks,providing unprecedented accuracy and efficiency.The study points out the significant role of this technology in predicting market demand,optimizing supply chain management,and formulating pricing strategies.Furthermore,this paper explores the important research value and practical application prospects of using big data to analyze the rose cut flower market,emphasizing how to deeply understand and respond to market challenges in a rapidly changing environment using big data technology.The research results not only offer valuable insights into the rose cut flower market but also serve as a reference for studies of other floral markets,demonstrating the extensive application potential of big data in the analysis of agricultural product markets.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.7