消费者网络购物影响因素分析

对中国消费者网上购物的动机、决策过程等进行研究,识别影响消费者网上购物的主要因素,有助于促进我国网络购物有序、健康的发展。研究结果表明,城市消费者网络购物意愿受文化程度、网络应用技能、网络购物的安全性等因素的影响比较显著,而消费者的年龄、收入状况、便利性评价等因素影响较弱。     

Price Dispersion and the Gains From Search in Local Food Markets

The wide range of prices found in local food markets allows consumers to reduce the cost of food purchases through comparison shopping in two or more stores. Little is known, however, about how much can be saved by comparing prices for a whole market basket of food items. This paper presents evidence relating to the savings which can be realized through comparison shopping, and shows how savings can vary in markets of different sizes. Analysis of data on the prices of a market basket of food items in 15 local markets indicates that there are substantial differences in the dispersion of prices between small, medium and large food markets. The effect of these differences is to make the potential saving from comparison shopping much greater in large market areas, as compared with small ones. It is found that the dollar benefits of comparison shopping to consumers are likely to be greater than the costs of search in large shopping areas, but may not justify the costs in small and medium size areas.     

网购食品消费者选择行为的影响因素

利用1 790份网络调查问卷数据,采用相关分析、交叉分析等统计方法,研究网购食品消费者选择行为,分析网购食品市场渗透率不高、用户黏性不足的主要原因,结果表明,消费者个性特征差异会导致对网购食品的不同态度,进而影响消费者对网购食品的选择行为;良好的网购环境、物美价廉的食品、优质的网购服务,是促使消费者选择网购食品的主要因素,对网购食品安全的担忧、习惯于传统购物方式、网购维权难度大,是抑制消费者选择网购食品的主要因素,尤其是网购食品"难维权、维权难"可能会放大消费者对网购食品产生的消极态度。为此,应加强网购食品多主体协同监管,消除消费者怀疑心理和不放心态度;建立以消费者需求为中心的网购食品质量安全供应链管理体系,推动线上市场和线下实体店紧密结合、融合发展;完善网购食品维权制度,畅通维权渠道。     

网购对家电企业渠道的影响分析及发展建议

随着我国网络购物的快速发展,越来越多的消费者纷纷通过网络来购买家电,网络即将成为家电市场的第三大渠道形态。网购对于家电企业的渠道而言具有拓展销售渠道、增强渠道控制力、降低渠道成本、加剧渠道冲突等影响。为此,家电企业可以采取密切与网络渠道的合作、加强对网络渠道的管控、在城镇及农村市场构建多元化的渠道体系、拓展新兴渠道举措来应对,最终使家电企业渠道得到更好的发展。     

Exploring the e-shopping geography of Lisbon: Assessing online shopping adoption for retail purchases and food deliveries using a 7-day shopping survey

E-shopping is growing globally, and the COVID-19 pandemic further accentuated this tendency. In this paper, online shopping adoption is analysed in Lisbon immediately before the pandemic outbreak. By focusing on an urban area, the impact of variables such as internet access or access to delivery services is controlled, thus enhancing the remaining components of the online purchase. The results show that online shopping is spatially dependent in an intraurban environment as a reflex of residential location preferences of different socioeconomic groups. Moreover, as internet access and delivery services become widespread, residential location preferences may come to explain e-shopping adoption both in urban and non-urban environments. The e-shopping geography of Lisbon suggests that age and affluence are determinants in explaining e-shopping adoption, with a marked distinction between central areas and more peripheral ones, some of which include extensive social housing projects. Hence, if retailers move online, shopping opportunities may become scarce for some consumers due to their socioeconomic status and consequent residential preferences. Nevertheless, strategic partnerships between retailers and the public sector may be devised to improve shopping opportunities. Physical stores can be encouraged to locate in areas where consumers are less prone to shop online. E-shopping adoption may also be encouraged by the public sector by promoting digital literacy, especially considering that the share of the older population is growing in Portugal as in most European countries.     

Why is Price Dispersion Higher Online than Offline? The Impact of Retailer Type and Shopping Risk on Price Dispersion

When physically similar products, of similar quality, are offered by retailers both online and offline, we often observe that the dispersion in prices of these products online is greater than the price dispersion offline. This observation runs counter to early theories that suggested price dispersion online would be smaller than that offline due to the ease of search and information availability online. This paper investigates and provides an explanation for this puzzling phenomenon by examining the impact of two important drivers of price dispersion: retailer type and consumers’ shopping risk. Retailer type refers to whether a retailer is a pure offline, pure online, or dual channel retailer. Shopping risk is defined as the product of consumers’ perceived risk of shopping and the transaction uncertainty related to shopping at different types of retailers.A game-theoretic approach is adopted to model consumers’ price search and product purchase, as well as price competition within and across retailer types in online and offline markets. Equilibrium pricing strategies are derived for different retailer types competing for different consumer segments with different levels of perceived shopping risk. The impact of retailer type and shopping risk on online versus offline price dispersion are quantified, and conditions when price dispersion is greater online than offline are identified.Results indicate that price dispersion is greater online when the number of pure online retailers is sufficiently large and is increasing in the number of pure online retailers. In addition, a reduction in online shopping risk may actually increase online price dispersion. Results further suggest that even without any online sales, dual channel retailers should maintain their online presence for the purpose of information dissemination, which justifies the importance for pure offline retailer to incorporate webrooming strategies, where consumers can search for prices online but purchase offline.     

Food Products Vending in Street Markets Held in Urban Habitat

This study explores the influence of street markets in urban geodemographic settings and analyzes vending patterns with ethnic values enhancing consumer satisfaction. Interrelationship among urban dwellers, marketplace ambiance, and conventional shopping wisdom of customers and interactive customer relations are also addressed in the study based on empirical survey. Research on street markets is very limited though some studies are available on street vendors with focus on spatial planning, political interventions, and legal rights. This study on street markets contributes significantly to the existing literature in reference to shopping behavior and perceptional values of urban consumers.     

The effect of assortment and fulfillment on shopping assistance and efficiency: An e-tail servicescape perspective

The study focuses on comparative effectiveness of two e-tail servicescape dimensions, e.g., product assortment and order fulfillment on consumers’ online purchase intentions for fashion apparel shopping. The mediating effect of shopping assistance and efficiency between e-tail servicescape dimensions and purchase intentions is examined. Additionally, the moderating influence of fulfillment reliability between e-tail servicescape dimensions and shopping assistance is also examined. The survey instrument was used to execute the study and data were gathered from 442 participants from the national capital of India. The hypothesized relationships were verified using covariance-based structural equation modelling (CB-SEM), hierarchical regression analytics (HRA), and bootstrap procedure. The findings reveal that there are certain e-tail value disposition oriented benefits in investing order fulfillment landscape over product assortment. The mediating role of shopping assistance and shopping efficiency is empirically verified and the moderating influence of fulfillment reliability is also confirmed.     

Online retail experience and customer satisfaction: the mediating role of last mile delivery

ABSTRACT

For various industries worldwide, recent years have been defined by the remarkable growth of e-commerce. Enabled by the Internet, retailers can reach more customers, spread much further in the distribution chain, and optimize their resources. In the new market environment, customer experience has become a source of competitive advantage. This study investigates the role of last mile delivery in the customer’s e-retail experience. A quantitative methodology was used, which incorporated a survey that was conducted in Sweden and measured participants’ most recent e-retail experience. The results indicate that the last mile delivery experience mediates the relationship between the customer’s perception of the online shopping experience and customer satisfaction. These conclusions provide ground for further thorough investigations of the role of last mile delivery in the e-retail context and support e-retailers in increasing their customers’ satisfaction.     

Street Markets Influencing Urban Consumer Behavior in Mexico

Street markets in the urban setting form the bottom of the pyramid market structure, which caters to consumers of semi-urban settlements. Consumers favor these markets for farm-fresh agricultural products and low-priced consumer goods. This study empirically investigates the role of street markets in urban sociodemographic clusters in the shift of consumer behavior against large shopping malls and supermarkets. Data were gathered from 490 respondents engaged in buying products at 373 vending stalls across 14 street market locations in Mexico City. Data were collected on 31 variables and analyzed using structural equation model. The study also addresses street markets as change agents of consumer behavior in the context of marketplace ambience, vending patterns, ethnic values, and interactive customer relations. The conventional shopping wisdom of customers, competitive gains, and socio-cultural advantages are also addressed based on an empirical survey. The study revealed that shopping behavior is largely motivated by the physical factors such as location of marketplace, distance, and vending stall type within the street market. Findings also indicate that consumers possess a strong conviction that street markets offer fresh products of farm and animal origin as well as ethnic food irrespective of hygiene standard.     

The combined influence of time pressure and time orientation on consumers’ multichannel choice: evidence from China

This article deals with the influence of time pressure and time orientation on consumers’ multichannel shopping behaviour. Previous studies have documented the role of time pressure on customers’ channel choice in developed countries, without examining the moderating effects of time orientation on the relationship between perceived time pressure and consumers’ attitudes towards online/offline channels. To fill this gap, this article aims to investigate the combined influences of time pressure and time orientation on consumers’ attitude towards both online and offline shopping. The results show that time pressure helps consumers form more favourable attitudes towards online shopping than towards offline shopping. Further, the effect of time pressure on consumers’ channel attitudes depends on one's time orientations. The implications for marketing channel strategies and market segmentation in Asian emerging markets are discussed.     

Sociodemographic and spatial disaggregation of e-commerce channel use in the grocery market in Great Britain

The UK Grocery e-commerce industry is amongst the most developed in the world with an estimated value of £11.4Billion in 2018. Assisted by technological developments, the market has experienced dramatic growth over the past two decades. Grocery retailers have invested in online infrastructure and home delivery networks. As a result, consumers have a range of options which enable them to shop interchangeably between in-store and online channels. The proliferation of new grocery shopping channels such as home delivery or ‘click and collect’ (collect in store or collection from a non-store collection point), coupled with changing consumer behaviour, provides new challenges for retailers in understanding consumer dynamics in this market. This paper explores consumer behaviour and preferences for e-commerce in the grocery retail industry in Great Britain (GB) using a survey of 19,033 respondents from the major market research company YouGov. Respondents were asked a range of questions around uptake and channel usage in the grocery e-commerce sector. The survey presents a novel opportunity to analyse self-reported consumer behaviour in GB, with survey responses attached to key sociodemographic and locational information. We find that sociodemographics are an important driver of groceries e-commerce usage and channel choice, with females, more affluent households and those in the 25–44 age group most likely to use home delivery, corroborating previous research. Contrasting previous research, we also find statistically significant evidence of relatively high values of home delivery use among over-55s. Whilst overall usage is lower, we find a particular affinity to collection facilities among males and skilled manual workers. Spatially, we find evidence of both the innovation-diffusion theory and the efficiency theory at both a national and local authority district level, using a brief case study of Yorkshire and the Humber. These insights can support grocery retailers as they further develop costly localised infrastructure to support e-commerce. It could also assist retailers in understanding the localised drivers of channel choice as they seek to shift demand from home delivery (with high costs faced by the retailer in relation to the ‘last mile’) to click and collect (in which the customer faces the costs associated with the last mile).     

Main-format dominance in consumers’ FMCG cross-format shopping patterns

Although cross-format patronage has become a common phenomenon in markets for Fast Moving Consumer Goods (FMCG), research on consumers’ specific cross-format combinations is limited. We study such shopping patterns by focusing on retail format utilization. A qualitative pre-study demonstrates consumers’ patronizing combinations of typical retail formats in FMCG with main-format usage and provides underlying differences in consumers’ perceived shopping utility for cross-format selection, which results from their utilized main-format. Our quantitative study reveals three clusters with main-format dominance, that is, mainly supermarket, discount store, and hypermarket shoppers complementarily utilizing fill-in formats to a much lesser extent. Whereas we found high inter-format loyalty in each consumer group, intra-format loyalty significantly varies between clusters. ANOVA and post hoc-tests concerning perceived shopping utility dimensions show that consumers’ perceived acquisition utility rather than perceived transaction costs significantly differs between consumer groups.     

Consumer Decision Making on the Web: A Theoretical Analysis and Research Guidelines

Recent empirical data on online shopping suggests that consumers have the potential to make better quality decisions while shopping on the web. But whether such potential is being realized by most consumers is an unresolved matter. Hence, the purpose of this research is to understand how (1) certain features of electronic environments have a favorable effect on the abilities of consumers to make better decisions, and (2) identify information‐processing strategies that would enable consumers to make better quality decisions while shopping online. A cross‐disciplinary theoretical analysis based on constructs drawn from economics (e.g., time costs), computing (e.g., recommendation agents), and psychology (e.g., decision strategies) is conducted to identify factors that potentially influence decision quality in electronic environments. The research is important from a theoretical standpoint because it examines an important aspect of online consumer decision making, namely, the impact of the electronic environment on the capabilities of consumers. It is important from both a managerial and public policy standpoint because the ability of shoppers to make better quality decisions while shopping online is directly related to improving market efficiency and enhancing consumer welfare in electronic markets.     

Conflicting attitudes and scepticism towards online shopping: the role of experience

Researchers typically study how levels of risk perception about online shopping affect whether and how consumers use the channel to buy products. In this paper, we propose to study how different types of attitudes towards online shopping are formed when consumers consider both the benefit and the risk of using the Internet to do their shopping. We consider the possibility that general types of attitudes are formed when consumers' perception of the risk and the benefit of using online shopping conflict. We pay particular attention to the concept of online shopping scepticism where consumers may fully realize the benefit of using the Internet to do their shopping, but also express a certain level of concern about the risk of using that channel. In the risk literature, researchers have shown that experience and increased exposure to a particular technology usually involves the accumulation of more and better knowledge that in turn may lead to a reduction in the perception of the risks involved. In this research, we also explore the role of experience in the context of consumers' intention to use online shopping. More specifically, we postulate that online shopping experience has a direct effect as well as an indirect effect on the intention to use online shopping. Experience with online shopping directly increases the consumer's intention to use the Internet to buy products but it also reduces the degree of scepticism and risk aversion, and that in turn, also increases the intention to use online shopping.     

INTERNET RETAILING INTERMEDIATION: A MULTILEVEL ANALYSIS OF INVENTORY LIQUIDITY AND FULFILLMENT GUARANTEES

Internet retailers intermediate online markets by setting prices, matching wholesalers' supply with consumers' demand, affording inventory liquidity, and meeting fulfillment guarantees to consumers. Little attention has been given to studying the two latter intermediation functions. To fill this research gap, this study examined a sample of 25 mainstream online retailers in some 704 transactions with consumers. The study evaluates the inventory liquidity and the fulfillment guarantees these Internet retailers provide to consumers. Furthermore, it presents a path‐analysis model, which suggests that retailers coordinate their actual and promised inventory‐liquidity and delivery performance to satisfy the fulfillment guarantees made to consumers. Moreover, the results show that key transactional attributes (i.e., the net price and the number of items fulfilled) commonly present in Internet markets and visible to all market participants impact both the levels of inventory liquidity and the delivery performance of the transactions between consumers and Internet retailers.     

基于购买决策的网络购物感知风险

消费者消费观念的转变,使得网购从尝试性形态逐步向日常形态转变。由于网络购物在时间和空间上的特殊性以及心理和社会原因,使得消费者在网购与实体购物时所感受的风险存在较多差异,往往感到网购比实体商店购物存在更高的风险。相对于实体购物,影响网络购物感知风险的因素主要集中在消费者、商品、零售商和技术四方面。商家要消除由于信息的失衡给消费者带来的不安全感,同时,还需要商家具有广泛的营销手段和工具,从而提高企业的产品或品牌被消费者选择的可能性。     

Chinese consumer decision-making styles: A comparison between the coastal and inland regions

China is rapidly becoming an important market for consumer goods, but relatively little is known about variations in consumer shopping patterns in different regions of China. We employ a cultural materialism perspective in understanding decision-making styles of inland and coastal shoppers. Our findings reveal that consumers in the two regional markets do not differ in utilitarian shopping styles but they do in hedonic shopping styles. Marketers need to understand these differences to be able to market effectively to consumers in different regional markets within China.     

Modelling consumers’ acceptance for the click and collect service

This study investigates possibilities for developing a click and collect service in the context of e-commerce and attempts to identify the consumer characteristics that determine the acceptance of this service. Data of 285 e-commerce consumers were collected through an online questionnaire using banners uploaded in seven online retailers' sites. Binary logit models are developed to analyze the data and relate consumer characteristics to their intention to use and pay for the click and collect service. Perceived environmental contribution of the click and collect service, perceived time pressure, car use in the city center and frequency of online shopping significantly affect consumers’ intention to use the service. The model results provide information that can be used to choose location points and design marketing and pricing policies that will make the click and collect service attractive to customers.