技术经济与管理研究
技術經濟與管理研究
기술경제여관리연구
TECHNOECONOMICS & MANAGEMENT RESEARCH
2015年
7期
47-50
,共4页
信息技术%商业模式%零售企业%消费体验
信息技術%商業模式%零售企業%消費體驗
신식기술%상업모식%령수기업%소비체험
Information technology%Business mode%Retail enterprise%Consuming experience
零售业是大数据应用最广泛的和深入的行业,大数据带来的信息革命改变了消费者的消费行为与方式,营造了全新的营销环境。大数据技术的快速发展为零售企业深刻认识和把握消费行为与市场需求提供了新的工具、方式和视角。文章阐述了大数据及其与零售业之间的关系,分析了消费者主权时代消费行为的新特征,指出消费者成为商业价值链的主导者,变得更理性、更注重个性化、对消费体验提出了更高要求。因此,在全新的营销环境中,零售企业必须回归零售业本质,以终端消费者主导为中心,运用大数据技术,围绕目标顾客定位、店址选择、商品管理、定价策略、促销管理、商品陈列和供应链等零售经营要素进行变革。
零售業是大數據應用最廣汎的和深入的行業,大數據帶來的信息革命改變瞭消費者的消費行為與方式,營造瞭全新的營銷環境。大數據技術的快速髮展為零售企業深刻認識和把握消費行為與市場需求提供瞭新的工具、方式和視角。文章闡述瞭大數據及其與零售業之間的關繫,分析瞭消費者主權時代消費行為的新特徵,指齣消費者成為商業價值鏈的主導者,變得更理性、更註重箇性化、對消費體驗提齣瞭更高要求。因此,在全新的營銷環境中,零售企業必鬚迴歸零售業本質,以終耑消費者主導為中心,運用大數據技術,圍繞目標顧客定位、店阯選擇、商品管理、定價策略、促銷管理、商品陳列和供應鏈等零售經營要素進行變革。
령수업시대수거응용최엄범적화심입적행업,대수거대래적신식혁명개변료소비자적소비행위여방식,영조료전신적영소배경。대수거기술적쾌속발전위령수기업심각인식화파악소비행위여시장수구제공료신적공구、방식화시각。문장천술료대수거급기여령수업지간적관계,분석료소비자주권시대소비행위적신특정,지출소비자성위상업개치련적주도자,변득경이성、경주중개성화、대소비체험제출료경고요구。인차,재전신적영소배경중,령수기업필수회귀령수업본질,이종단소비자주도위중심,운용대수거기술,위요목표고객정위、점지선택、상품관리、정개책략、촉소관리、상품진렬화공응련등령수경영요소진행변혁。
Retail is the most widely concered and deeply applied industry in Big data research , which changed the consumption behavior of consumers and create a brand new marketing environment as it has brought an influential information revolution. The rapid development of big data provides the new tool, way and perspective of knowing the consuming behavior and market demand. This paper expounds big data and its relationship with retail industry. It also analyzes new characteristics of consumer behavior in the era of consu-mer sovereignty. Moreover, it points out that consumers have put forward higher requirements on buying experiences, as they become the leaders of the business value chain, which made them more rational and personalized. Therefore, retail enterprises must return to nature of retailing in new marketing environment. That means they must make a change around target customer orientation , store site selection, product management, pricing strategy, promotion management, goods display, supply chain and other retail business ele-ments using the technology of big data.