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。     

Impact of perceived value on the online purchase intention of base of the pyramid consumers

Despite the voluminous purchasing power of the consumers at the base of the pyramid (BOP), substantial research has not been carried out on their online buying behaviour. This study investigates the factors that trigger the online shopping intention of BOP consumers. We conducted semi-structured in-depth interviews with 52 BOP respondents from India. Our thematic analysis indicates four perceived benefits and five sacrifices influencing BOP consumers' perceived value for online purchases, subsequently determining their adoption behaviour. As a novel contribution to the literature, this study unfolds several unknown factors that motivate/demotivate BOP consumers to buy online using the Value-based Adoption Model (VAM). The findings of this study will help e-commerce marketers enhance BOP consumers' usage intention toward online purchases.     

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.     

A contextual perspective on consumers' perceived usefulness: The case of mobile online shopping

This research aims to study the origins of consumers' usefulness perceptions through the example of mobile online shopping adoption in Europe. The results of an empirical study, which is grounded in technology acceptance theory, reveal the pivotal role of consumers' beliefs about the quality of mobile online stores in the formation of usefulness perceptions prior to adoption. While this study identifies that consumers form their usefulness evaluations depending on the respective shopping tasks, the results of a moderation analysis yield usefulness predictors that differ in relevance across product categories and shopping touchpoints. This contextual perspective has implications for both adoption and (online) channel research. It also helps managers to identify starting points on how to promote (mobile) online shopping adoption.     

Adoption and usage of online shopping: An empirical analysis of the characteristics of “buyers” “browsers” and “non-internet shoppers”

We empirically study and model how socio-demographic variables, attitudes and beliefs towards Internet shopping affect both the adoption decision and usage of the online shopping channel. Previous research on online shopping focuses on whether to adopt online shopping. This paper extends this research by delineating non-adopting individuals into non-browsing and browsing. Our results demonstrate that there is a fundamental behavioural difference between three forms of behaviour: that is, those that purchase online, those that browse online but then purchase in-store and those that do not shop online at all.     

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.     

Online Repurchasing: The Role of Information Disclosure,Hope, and Goal Attainment

The emergence of online purchasing has changed the relationship between consumers and brands. Our research focuses on online information disclosure and consumer hope in an online shopping environment. Two studies are undertaken to test the theoretically derived hypotheses. Study 1 evaluates the causal relationship between information disclosure and hope via an experiment in an online shopping context. Study 2 involves an online survey to test the nomological network presented in this research. The models identify the moderating effect of consumer product knowledge on online information disclosure and consumer hope. For academics, this research advances knowledge of how consumers' confidence in sharing personal information develops hope, consequently enabling them to attain their goals and repeat their purchases. For practitioners, it offers a better understanding of how investments are successful in aiding consumers to attain their goals and generate repeat purchase intentions in an online shopping environment.     

Like or want? Gender differences in attitudes toward online shopping in China

While previous studies indicate that female consumers display less trust for online shopping than males do, there is little research to addresses the reasons behind this difference. Our study applies a combination of both self‐report and the Implicit Association Test (IAT) to compare the cognitive and affective components of attitudes in men and women toward online shopping in China. Although female participants showed no significant difference from male participants in affective attitudes toward online shopping in the self‐report condition, females associated online shopping more frequently with unpleasant adjectives and off‐line shopping with pleasant adjectives in the indirect IAT condition. The opposite pattern was found for the male group. This finding indicates a wanting but disliking attitude toward online shopping among the female consumers in China, which provides a unique theoretical contribution to consumer behavior theory and helps to enhance e‐marketers’ market targeting and segmentation effectiveness in China.     

An empirical analysis of online shopping adoption in Beijing,China

The Internet is a global communication medium that is increasingly being used worldwide as an innovative tool for marketing goods and services. At the end of 2010, Internet users in China reached 420 million. However, online shopping in China is not widely practiced and organisations investing in B2C online shopping need to understand the factors that affect Chinese consumers′ online buying behaviour. This research develops a theoretical research model as a framework to identify the key decision factors influencing Chinese consumers′ to shop, or not to shop online. A self-administered questionnaire was used to gather information from 435 respondents in Beijing, China. The empirical analysis identifies and ranks seven important decision factors: perceived risk, consumer resources, service quality, subjective norms, product variety, convenience, and website factors. All of these decision factors impact on Chinese consumers′ adoption of online shopping. Moreover, managerial implications and recommendations are also presented.     

Effects of in-store live stream on consumers’ offline purchase intention

Live stream marketing through social media has attracted the attention of digital retailing marketers in recent years. However, there is a lack of evidence in understanding the influence of in-store live stream on offline purchase intentions. This study aimed to investigate the influence patterns of environmental stimuli on consumers' intention to purchase offline/in-store after watching an in-store live stream session. The Stimuli-Organism-Response (SOR) model was employed as the theoretical framework, and a structured questionnaire was used to collect data from individuals who had previous experience with in-store live stream marketing. Structural equation modelling was then applied for data analysis, with a total of 234 valid responses. The findings revealed that environmental stimuli have a significant positive effect on consumers' intentions to make in-store purchases, and the attitudes towards influencers and products substantially mediate the relationship between stimuli and purchase intention. More specifically, consumer attitude towards products has a pronounced effect on whether they will make an in-store purchase. The novelty of this research lies in its investigation of the impact that live stream marketing has on offline or in-store shopping experiences. This contrasts with the majority of existing live stream studies, which focus on consumers’ online shopping experiences. In addition, this study broadens the scope of the application of the SOR model to contribute to the growing body of literature on live stream marketing.     

Understanding determinants and barriers of mobile shopping adoption using behavioral reasoning theory

Technology has transformed the way retail business is done with leading players shifting to mobile specific platforms. The purpose of this study is to examine the mobile shopping adoption using a novel approach of behavioral reasoning theory, which aims to test the relative influence of reasons for, and importance of reasons against adoption of mobile shopping among Indian consumers. The hypotheses were tested using the representative sample of 237 Indian consumers and analyzing the data using PLS-SEM technique. The findings support that ‘reasons for’ and ‘reasons against’ are prime determinant of attitude and intentions. Among the reasons for, price saving orientation is the major determinant for mobile shopping adoption and among the reasons against, self efficacy is the major determinant against mobile shopping adoption. The findings also confirm that value of “openness to change” significantly influences reasons for adoption and has no impact on reasons against and attitude towards mobile shopping. The findings of this study emphasize the importance of examining both the pro-adoption and anti-adoption factors while developing marketing strategy.     

Impact of movie-watching on cross-selling revenue in shopping malls: Implications for post-pandemic recovery

The COVID-19 pandemic has prompted consumers to postpone in-store purchases and shift to online shopping, decreasing overall retail spending. As the global lockdown eases and shoppers return to offline stores and malls, shopping malls seek to facilitate in-store consumer experiences at entertainment facilities. Given the importance of entertainment facilities to the cross-selling revenue of shopping malls, we investigate the relationship between consumers' movie-watching and subsequent (hedonistic) grocery purchases. Our analysis of a panel database that includes transaction details at the consumer level shows that movie-watching is negatively correlated with consumer spending. Furthermore, consumers’ psychological states induced by content and contextual factors moderate the negative effect of movie-watching; after watching a fantasy (as compared to thriller) genre or watching a movie in a less crowded theater, consumers are more likely to make hedonic purchases at the supermarket. These findings provide theoretical and managerial implications for retail operators exploring cross-selling opportunities post-pandemic.     

Consumers' attitudes and intentions toward Internet-enabled TV shopping

An increasing number of households are equipped with Internet-enabled televisions (IETVs) that yield opportunities for online activities. This research contributes by investigating the motivational factors of consumers’ attitudes and intentions toward IETV shopping. A quasi-experimental study in the environmental context of a living room was designed to explore IETV shopping behavior. Findings indicate that utilitarian motivations are determined by characteristics of technology and hedonic motivations from the physical environment. Attitudes toward IETV shopping are primarily influenced by hedonic shopping motivations. Conclusions suggest that by providing an IETV shopping app, retailers would make online shopping more enjoyable and comfortable for consumers.     

网上购物意图影响因素实证研究

理解消费者网上购物行为是发展网上购物的前提。本文在对前人研究成果进行回顾和总结的基础上,扩展了相关理论,提出了网上购物意图影响因素理论模型。运用自中国网上消费者的调研数据,使用结构方程模型验证了感知使用方便、感知效用、信任和感知风险等前因变量都显著地影响网上购物态度,购买态度决定购买意图,感知风险的中介效应获得数据支持,并证实了网上消费者的双重使用和购买特征,初步厘清了变量之间复杂的因果关系。     

Mobile shopping intensity: Consumer demographics and motivations

PurposeTo investigate how consumer demographics and motivations may influence their mobile shopping intensity.Design/methodology/approachAn online survey was developed to collect data using SurveyMonkey's online shopper panel. The final sample consisted of 937 mobile shoppers. Linear regression analysis was performed to test the hypotheses.FindingsConsumers' education and income levels significantly increase their number of mobile purchases, their frequency of purchases, and the amount of money spent on mobile purchases. Males have been found to spend more on mobile shopping than females, while younger people made more mobile purchases than older people. This study also identifies six types of motivations that drive consumers’ mobile shopping intensity, including convenience seeking, bargain hunting, enjoyment seeking, perceived usefulness, ease of use, and innovativeness.Research limitations/implicationsFuture research may examine additional motivational measures and situational factors and conduct cross-cultural studies.Practical implicationsFindings from this study can help businesses develop their mobile shopping strategies.Originality/valueThis is the first study to investigate how consumer demographics and motivations may influence their mobile shopping intensity.     

‘Online Omnivores’ or ‘Willing but struggling’? Identifying online grocery shopping behavior segments using attitude theory

The landscape of grocery shopping is changing fast. Online retailing via home delivery or ‘click and collect’, convenience stores and various hybrid shopping channels are gaining popularity with some consumers, but not with others. The central premise of this paper is that focusing on the ‘average grocery shopper’ is not very helpful if the objective is to understand recent and future changes in grocery shopping. There are few recent studies that have identified groups of individuals using online and multi-channel shopping by considering both observable behavior and associated attitudes – feelings, beliefs, opinions and behavioral dispositions – and by drawing explicitly on attitude theories from social psychology. The current paper thus aims to identify and describe groups of grocery shoppers using a psychographic segmentation approach that is explicitly grounded in the Theory of Planned Behavior (TPB) (Ajzen, 1991) and its close cousin, the Technology Acceptance Model (TAM) (Davis et al., 1989). Primary data were collected through a self-completion questionnaire that produced a largely representative study sample of 2032 grocery shoppers across the United Kingdom, Europe's largest market for online grocery shopping. A principal component and two stage cluster analysis methodology was implemented to identify five well-defined and highly interpretable segments according to their attitudes, norms, perceptions and beliefs, then profiled by their socio-economic and grocery shopping characteristics. The segments reveal a range of different grocery shopping preference levels, from those ‘super-shoppers’ (Flynn and Goldsmith, 2016) who are clearly attracted to the online experience and want more (‘Intensive Urbanites’, ‘Online Omnivores’) to those who appear resistant and socially responsible towards the adoption of online shopping services (‘Resisting and Responsible’). The key distinguishing features of these segments suggest that shoppers might be attracted to or repelled from online shopping for reasons of convenience, perceived benefits, costs and risks, technology affect, time pressures and fit into daily schedules (perceived behavioral control), as well as social and environmental dimensions of personal norms and beliefs.     

Examining the context-specific reasons and adoption of artificial intelligence-based voice assistants: A behavioural reasoning theory approach

AI-based voice assistants are some of the most popular consumer products of artificial intelligence technology. This study investigates the influence of the reasoning process on overall consumer attitudes and adoption intentions towards AI-based voice assistants. Behavioural reasoning theory was applied to hypothesize relationships between values, context-specific reasons, attitudes, and adoption intention. Partial least squares structural equation modelling was used to test the research model and hypotheses using data from 550 potential consumers in India. This research suggests a positive influence of consumers' ‘reasons for’ on their attitude and adoption intentions towards AI-based voice assistants, as well as a favourable impact of consumers' values on ‘reasons for’. This study discovered that ‘reasons for’ and ‘reasons against’ are not only opposites but are entirely autonomous and have an independent impact on consumers' attitudes towards AI-based voice assistants. This research improved our understanding of AI-based product adoption by identifying the paramount role of consumers' values and the ‘reasons for’ and ‘reasons against’ in shaping their attitudes and adoption intentions towards AI-based voice assistants.     

Hurry! Sale Ends Soon: The Impact of Limited Inventory Availability Disclosure on Consumer Responses to Online Stockouts

A prevalent challenge for online retail supply chain managers is maintaining and managing adequate inventory levels to support and fulfill consumer orders and purchases. Interestingly, this challenge is not only about maintaining inventory availability, but also how to effectively disclose and communicate inventory availability, particularly if a stockout occurs. This article investigates a conceptual model that explores the impact of online inventory availability disclosure on consumer perceptions in the context of a stockout. Based on expectation disconfirmation theory, the core of the model is the notion that limited inventory availability would stimulate expected consumer competition, which in turn, causes consumers to not be as negatively impacted by stockouts. Contrary to this prediction, however, the results of this experimental study show that consumers are actually more dissatisfied when low inventory availability items are out‐of‐stock. This is likely due to the combined impacts of a stockout encounter and a “loss” of a competitive shopping scenario. Thus, implications of these findings for future research and supply chain practice are offered accordingly.     

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.     

Social Sharing of Online Videos: Examining American Consumers’ Video Sharing Attitudes,Intent, and Behavior

The present study integrated the theory of planned behavior, technology acceptance model, and Palka et al.'s (2009) viral marketing model to examine U.S. consumers’ online video sharing attitudes, intent, and behavior. Two online surveys of 318 U.S. college students and 370 U.S. general consumers were conducted consecutively in April 2012 and May 2012 to strengthen the study's reliability and validity. Results show that perceived pleasure and cost served as important predictors of online video sharing attitudes among college students and general consumers. Their intent to share online videos was predicted by perceived pleasure and normative influences, attitudes, and social media use. The number of online videos they shared was determined by online video consumption, intenteh, normative influences, and social media use. Sharing of online videos is different from sharing other online content in that perceived utilities and behavioral control do not really matter. The findings carry important implications for academic researchers, online marketers, and video publishers.