便利品O2O消费模式接受度影响因素分析

文章首先对便利品O2O消费模式接受度影响因素的问卷结果进行频率数据分析,同时分析购买习惯、偏好、便利、价格、体验、朋友推荐、实体店推荐、信息获取和购买风险等因素对消费者便利品O2O消费模式接受度的影响。随后,对问卷结果取均值分析不同因素对消费者决策的影响程度,并根据不同的影响因素对便利品O2O经营模式的管理与营销策略提出建议。     

生鲜农产品社区O2O小电商模式研究

O2O即online 2 offline,是一种"线上营销+线下服务"的模式,消费者在网上下单完成支付,然后到实体店消费。O2O模式的出现,为用户和商家提供了面对面接触和交流的机会,通过实现消费信息的可追踪性帮助本地企业实现精准营销。而生鲜农产品由于其产品本身的特殊性,O2O模式无疑是其首选。原因在于,O2O模式与生鲜市场存在着先天性的契合之处,但是社区O2O电商又无法做到全品类,"大而全"所以本文着重分析了生鲜电商的社区O2O小电商模式,并指出生鲜农产品小电商的优势和发展趋势。     

移动通信对生鲜连锁店电子商务流通模式的影响

构建了生鲜连锁店O2O电子商务流通模式的框架体系,并对其中电子商务、生鲜连锁店、O2O模式、流通模式、移动通信五个核心概念进行阐述。从三个方面分析了生鲜连锁店的流通模式：生鲜连锁的O2O模式,基于数字科技的生鲜供应链,以电子商务平台为基础的生鲜销售。深入地分析了移动通信对生鲜连锁经营的流通模式的影响：移动通信对生鲜连锁店电子商务平台的影响,移动通信对生鲜产品供应链资源整合的影响,移动通信对生鲜产品线上线下销售的影响。     

生鲜电商社区配送模式分析

分析生鲜电商的特点和现有社区配送的现状,根据不同的社区类型,提出不同的配送模式。同时,针对社区配送中存在的问题,构建生鲜电商社区配送众包模式,将闲置的资源利用起来,缩短配送时间,降低成本,提高效率,并对众包模式运作过程中出现的服务标准问题、产品质量安全问题、配送效率控制问题和消费者安全问题,提出了解决对策。     

三四线城市服装店开展O2O模式与策略研究

电子商务的发展已经严重地影响了实体服装店的发展,特别是三四线城市的实体服装店。但是三四线城市网购一族因为物流问题和产品质量问题的存在,并没有足够的购物满意度。为此,拟提出通过搭建基于本地的销售平台,探寻提高消费者满意度、实体服装店收益的O2O模式,并对其推广、运行模式策略进行研究,希望能找到一条消费者和实体店互利双赢的途径。     

O2O模式下生鲜品牌电商营销策略研究

近年来互联网大数据的蓬勃发展,给予网上在线与线下实体经营相结合的O2O模式更多的发展空间,通过这样一种营销模式,促使企业与消费者之间能够更加紧密地互动。分析当前O2O模式下生鲜电商发展过程中存在的问题,有针对性地采取战略措施,建议生鲜电商平台建设好自己的冷链渠道,全面保障产品货源,做好消费引导,提高经济效益。     

三四线城市服装店发展O2O模式的可行性研究

本文通过对三四线城市的宏观环境、技术环境以及网民、物流基础和消费者心态、服装实体店的处境的分析,认为三四线城市服装实体店发展O2O模式具备宏观环境支持、网民意识具备、以及服装店适应等可行性并就具体的O2O模型提出了基于本地销售平台的模型。     

基于蚁群算法的前置仓冷链物流配送优化研究

习近平总书记指出,维护全球产业链供应链韧性和稳定是推动世界经济发展的重要保障,符合世界各国人民共同利益。同时,消费者对生鲜产品的品质要求日益增加,冷链的地位不容忽视、冷链的配送环节急需优化,而前置仓模式的出现可以使问题迎刃而解。本文就生鲜冷链物流背景下基于前置仓模式利用蚁群算法进行配送路径优化,从而提高生鲜产品配送效率以及顾客满意度。     

浅析生鲜农产品电商物流配送模式的优化

随着国民经济的不断增长,网络信息技术的不断完善,电商物流行业发展得到了质的飞跃。生鲜农产品运送作为电商物流配送工作的重要组成部分,要想最大程度保障生鲜农产品的配送质量和效率,降低其配送综合成本,就必须必须积极创新电商物流配送模式,有效建立起适合市场生鲜电商企业发展的产品配送模式,优化改善生鲜电商与线下农产品销售之间的关系,确保创造出更多的社会经济效益。本文将进一步对生鲜农产品电商物流配送模式的优化展开分析与探讨。     

线下实体店新零售模式发展研究与思考

线下实体店开展零售业务的基本目标在于获得经济利润,实体店的经营管理业务人员通过开展零售商品的推广销售工作,应当能够达到获得企业利润以及巩固企业竞争地位的目标。目前由于网络电商的强烈冲击影响,进而造成了线下实体店的原有产品零售模式亟待实现必要的转型。线下实体店只有做到了积极尝试与探索全新零售模式,才能促进实体店的销售利润得到明显提高,合理节约实体店的零售经营成本。因此,文章探讨了线下实体店发展全新零售模式的实践措施要点。     

Low-carbon decision-making model of online shopping supply chain considering the O2O model

A demand function of online shopping supply chain based on online-to-offline (O2O) fusion degree is proposed by considering the low-carbon awareness of online shoppers in view of the low-carbon decision making of supply chain in combination with the O2O operation background. On this basis, a low-carbon decision-making model based on online stores and their suppliers is established, and the application of the model is analyzed. Results show that the promotion of low-carbon operation is efficient when the consistency of online and offline operations of online stores and their suppliers is high. In addition, the decision making considering the cost of carbon information release is highly conducive to improving the low-carbon awareness of online shoppers if the low-carbon level of online shopping goods is lower than the low-carbon standard. Accordingly, the low-carbon operation of online shopping supply chain will be promoted.     

Substitution or complementarity? How the Internet changes city centre shopping

The rapid expansion of the Internet has spawned a growing body of literature on the impact of online shopping (here called e-shopping) on physical shopping. This paper explores the impact of e-shopping on shopping at city centres in the Netherlands for 25 retail categories, using a sample of 3200 Internet users. Results indicate that in the short run, e-shopping is unlikely to have a significant effect on purchases at city centre stores. In the long run, however, e-shopping may well substitute for going to actual stores. Furthermore, consumers today frequently consult the Internet before making a purchase from a store, and the city centre constitutes a source of information before an online purchase is made. The impact of these events, however, differ largely among the various retail categories and types of Internet shoppers.     

Factors influencing consumers' purchase decision-making in O2O business model: Evidence from consumers' overall evaluation

Online-to-offline (O2O) has become a rapidly growing e-commerce model worldwide, but the factors influencing consumers' purchase decision-making have not been examined well. After exploring the working mechanism of the O2O model, we extract eleven indexes of consumers' overall evaluation in the O2O model with Crawlzilla and R techniques. Social network analysis (SNA) is adopted to build social networks reflecting consumers' overall evaluation in the O2O model. Based on the modified social network and the extracted subgraph, this study (N = 768) reveals consumers' overall evaluation behavior patterns in the O2O model by calculating network density, central potential, edge betweenness. The results show that shoppers overall evaluate the eleven indexes, especially perceived product quality, online product price, promotion intensity, business reputation, and product brand, which reflects the significant associations between the indexes. Among all the eleven evaluation indexes, perceived product quality, online product price, and business reputation dominate consumers’ decision-making behavior. When making purchase decisions, consumers not only overall consider online product price, perceived product quality, and business reputation but also balance perceived product quality, business reputation, and promotion intensity. Finally, we make some suggestions on marketing strategy for e-commerce companies.     

Drivers of E-store Patronage Intentions: Choice Overload,Internet Shopping Anxiety,and Impulse Purchase Tendency

The dotcom era has infused a rapid increase in the usage of e-commerce in India, making online shopping the new way of retailing. This study investigates online consumers’ e-store patronage intentions, specifically modeling the ties from broad dispositional traits including choice overload, Internet shopping anxiety, and impulse purchase tendency among online shoppers. Based on the responses of 243 online shoppers, the findings suggest that consumers’ e-store patronage has a positive relationship with choice overload such that availability of larger assortments online results in a higher possibility of consumers’ patronage toward such e-tailers. Choice overload in the online context was also found to positively influence consumers’ impulse purchase tendency and showed a positive effect on Internet shopping anxiety. Furthermore, results indicate that the impulse purchase tendency of online shoppers had a significant positive effect on e-store patronage intentions, while Internet shopping anxiety was found to negatively affect the patronage intentions of shoppers.     

网络交易成本对消费者网购意愿的影响

互联网技术的不断发展进步使得越来越多的消费者选择通过电子商务网站购买服装产品,消费者对网购有用性、网购易用性、网购风险规避和服务质量等提出了更高的要求。本文以技术接受模型为理论模型,加入网络交易成本作为调节变量,对原模型加以改进,验证了网络交易成本在变量感知网上购买服装产品有用性、感知网上购买服装产品易用性、感知网上购买服装产品存在风险、感知网上购买服装产品的服务质量与消费者网上购买服装产品意愿的关系中具有显著的正向调节作用。     

Cross-category effects of induced arousal and pleasure on the internet shopping experience

Online retailers are likely to try to influence consumers’ shopping behavior through atmospherics and service, just as physical stores do. The impact of online atmospherics can be measured by the degree of stimulation and pleasure that is provided by a website. It is suggested that the characteristics of products and websites that are encountered early in online browsing can significantly influence the level of arousal and pleasure that consumers experience, and thereby can influence their later shopping behavior. Two experiments show that if the initial experiences encountered in a simulated Internet shopping trip are higher in pleasure, then there is a positive impact on approach behaviors and subjects engage in more arousing activities (e.g., more exploration, more tendencies to examine novel products and stores, higher response to promotional incentives). Further, if higher stimulation or information load is provided by the initial Internet experience, then consumers subsequently tend to engage in less arousing activities.     

Product perishability and multistore grocery shopping

Perishability, a largely unconsidered characteristic of consumer goods, is shown to play an important role in planned multistore shopping behavior. We present a model of consumers as cost minimizing inventory managers, who choose between two stores differentiated on location and price, and who purchase perishable and nonperishable goods. We show that the interaction between perishability of goods and price differences of stores can be an important driving force for planned multistore shopping. This rationale leads to a set of propositions. One unexpected result is that as the known price difference on a basket of identical goods increases between two stores, shoppers making store choice decisions on the basis of the basket price are more likely to shop regularly at both stores. We present survey results supporting our model’s predictions.     

“互联网+”还是“回归实体”？——消费模式与零售企业战略选择

互联网与移动互联网技术迅速发展，带动了许多实体零售企业投身于电子商务的创新实践，但也不乏亚马逊、阿里巴巴等网络零售企业通过投资、并购等方式积极涉足实体零售企业。文章试图解释企业进行不同战略选择的原因，采取“互联网+”或是“回归实体”的依据。在分析互联网对零售企业影响的基础上，文章建立了包括消费者与零售企业在内的一般均衡模型，分析了消费者选择不同零售企业的依据，以及零售企业的应对之策。分析结果表明，消费者在不同零售商店的相对支出比例取决于零售商店提供服务组合的相对效率。因此，基于“有限商圈”与“有限品类”的经营战略成为企业扩大销售收入的关键，现网络零售与实体零售战略选择本质上可以归纳为品类专业化与区域专业化之间的收益比较。     

O2O生鲜电商平台消费者重购意愿影响机制

基于迁徙理论,从驱动与锁定双视角出发,从推力因素、拉力因素和锁定因素三个层面对线上线下融合(O2O)生鲜电商平台重复购买意愿影响因素与内在机理进行实证研究。通过网络调查问卷采集886份消费者样本数据,运用结构方程模型对研究假说进行检验,结果表明,影响O2O生鲜电商平台重复购买意愿具有驱动效应和锁定效应两大机制,其中顾客满意度是驱动效应中的中介变量,顾客惰性是锁定效应中的中介变量。此外,推力因素的便利性、拉力因素的感知价值、锁定因素的转换成本、主观规范与在线涉入度均对消费者重复购买意愿产生正向影响。在后疫情时代,O2O生鲜电商企业应重视以消费者为中心的关系型营销理念,强化体验营销手段,在满足消费者便利性需求与高价值感受的同时,增强消费者对O2O生鲜电商平台的交易依赖,提高消费者黏性。     

礼品生鲜的网络适应性探索研究

产品的网络适应性在多渠道战略规划中起到了非常重要的作用。随着现阶段消费者线上、线下的感知属性和感知价值的变化,产品的网络适应性也随之发生变化。文章通过实证分析重新测量了礼品生鲜的网络适应性,进一步分析结果表明,现阶段礼品生鲜的网络适应性大于1,即消费者更偏向通过网络渠道购买礼品生鲜;产品质量、售后服务、退换货政策是消费者网购礼品生鲜的重要感知属性;高学历的非学生女性消费者网购礼品生鲜时,愿意支付的价格最高。