Drivers of consumer adoption of e-Commerce: A meta-analysis

E-commerce has significantly reshaped consumers’ shopping processes and habits. The need to understand the key drivers of online shopping has received keen attention and fueled a rich strand of studies. To help managers and researchers synthesize this growing body of evidence, we conducted a comprehensive meta-analysis to unearth the factors that influence consumers’ online shopping. Our main takeaways reveal that the most important drivers of online shopping (a) conform to the TAM and TPB theories, in addition to (b) website characteristics and past experience. In particular, the multiple predictors are strongly related to online purchase intentions and purchase behavior, where attitude and convenience show the strongest impact. Furthermore, moderator analyses indicate that cultural traits have specific moderating effects on the links between purchase intention and some of its drivers. For instance, power distance and uncertainty avoidance have a positive effect, while individualism, indulgence and masculinity have a negative one. Finally, we apply meta-analytic structural equation modeling to test a conceptual framework including four groups of drivers (consumer–channel interactions, website characteristics, social influence, and consumer characteristics) and different aspects of online shopping. The findings provide valuable insights for online shopping research and practice.     

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.     

How household food shopping behaviors changed during COVID-19 lockdown period: Evidence from Beijing,China

The COVID-19 pandemic has had a great impact on food shopping behavior. However, changes in food shopping behavior and related decision-making mechanisms remain unexplored. This study conducted a face-to-face questionnaire survey with 900 residents in three communities in Haidian, Beijing, China, to analyze food shopping behavior during the periods of pre-lockdown, lockdown (January–March 2020), and post-lockdown. Our results indicated that the preference for fresh food e-commerce shopping was accelerated by the lockdown with the usage rate increasing by 48%; the wet markets were seriously hit by the lockdown policy and had not fully recovered by the post-lockdown period (with a 75% reduction in the usage rate during lockdown). The psychological mechanisms of changes in food shopping behavior revealed that the context (e.g., community facilities) and the perceived risk of COVID-19 were two significant factors impacting the four shopping choices investigated. Specifically, the context factors affected behavior directly for supermarkets and convenience stores and indirectly for e-commerce and wet markets. The findings are expected to help in guiding emergency responses during a future pandemic as well as the long-term construction of food supply facilities.     

政府主导,创建知名旅游购物市场品牌

繁荣的旅游购物业对地方旅游业和社会经济发展具有非常重要的意义。创建知名旅游购物市场品牌是充分发展旅游购物业的先决条件 ,这其中政府主导将起到非常关键的作用     

THE DECISION MAKING IN SELECTING ONLINE TRAVEL AGENCIES: AN APPLICATION OF ANALYTIC HIERARCHY PROCESS

The emergence of Internet‐based distribution channels has created both opportunities for and challenges to the travel agencies. Based on the customer‐value perspective, this study focused on exploring the relative weights of the nine proposed fundamental travel products from an Internet perspective.

The study cohort comprised customers who had purchased room products from travel agencies websites, with data collected using a questionnaire survey. Customers were surveyed during a 3‐month period at Taipei International Airport. Excluding useless questionnaires resulted in 131 respondents, corresponding to a response rate of 18.71%.

We found that privacy, safety, and product quality were the three most important factors influencing customer purchases of room products on the Internet. The results of this study have some implications for travel agencies—companies will need to make a significant investment in website design of safety mechanism, and the greater the effort managers make to alleviate these concerns, the more likely it is that consumers will visit and buy products on their website.     

网络购物体验对顾客行为倾向的作用机理与模型初探

网络环境下顾客与企业的交互方式更多地表现出了体验的特征,体验营销在购物网站设计和经营中的重要性日益凸显。文章运用文献研究和理论推演方法,在S-O-R模型的基础上分析了网络购物体验对顾客行为倾向的作用机理,构建了网络购物体验影响顾客行为倾向的模型。在此基础上,提出了企业开展网络体验营销的建议。     

Exploring the acceptance of instant shopping – An empirical analysis of the determinants of user intention

This article deals with the novel technology of instant shopping. As this technology has yet to be considered in a scientific context, the article first defines the term instant shopping, distinguishing it from m-commerce and s-commerce. The article then gives an overview on acceptance studies in the context of e-commerce that have been conducted over the last five years. Building on this, the Technology Acceptance Model (TAM) is adapted and operationalized for the current context. One result of the study in this article, conducted among Instagram users on the topic of instant shopping, showed that perceived enjoyment has a particularly strong impact on the intention to use.     

How to increase multichannel shopping satisfaction? An adapted Kano based stage-gate approach to select new technologies

Today, brick-and-mortar retailers with integrated online shops have many alternatives to increase their customers’ shopping satisfaction: They could invest in (for the retailers) new physical store technologies (e.g., beacons or magical mirrors if not implemented up to now), new online shop technologies (e.g., visual tagging or webcams), or in new less technology-based improvement options (e.g. events or product testing). We propose an adapted Kano based stage-gate approach to support multichannel retailers confronted with such selection problems. The approach is applied to a major European sporting goods retailer. 37 improvement options are pre-selected and evaluated by current and potential customers. It can be shown that instore returns, instore services, reserve&collect, click&collect, customization, product testing, and magical mirrors are drivers of satisfaction for the current customers and should be implemented in contrast to, e.g., geofencing or beacons. The potential customers are more technology-savvy, but show similar categorizations as a current customer segment and so confirm the selection.     

国外旅游购物研究综述——ATR和TM反映的学术态势

本文利用《旅游研究纪事》和《旅游管理》这两本国外主流旅游学术刊物所载有关旅游购物的研究文献,以时间顺序对其进行了梳理,界定了国外旅游购物研究的缘起及发展阶段,并分析了各个阶段的研究视角、研究方法、研究深度及其发展脉络。文章认为,国外旅游购物研究的视角经历了从旅游购物（品）向旅游购物者的转变,研究方法也逐步从描述性、概念性和简单的数理统计逐渐转变为复杂的数理统计和构建模型,深入、细化研究的学术传统也得到了传承。相比之下,国内旅游购物的研究视角和研究方法还存在较大差距,亟待转变,且研究还有待深入细化。