Mobile Shoppers: Types,Drivers, and Impediments

The technology adoption of mobile commerce has frequently been studied by considering the extended technology acceptance model (TAM). However, the role of the perceived drivers and impediments affecting potential mobile shoppers' acceptance has been scarcely analyzed. This article highlights: (1) the typology of potential m-shoppers described by their reasons for, and perceived impediments to, mobile shopping and (2) the possible differences in the extended TAM in the resulting categories. In order to do so, we advance a single hypothesis about moderation of the m-shopper type on the relationships presented in the extended TAM. The study was conducted in Spain, a country with significant current and forecasted use of mobile shopping. Data from 476 Spanish mobile phone users were analyzed. The use of latent class cluster allowed us to identify three types of mobile shoppers that show different profiles based on their perception about drivers and impediments. Differences in the extended TAM relations across the clusters were identified using the multigroup approach of structural equation models. The results show support for the moderation effect, providing valuable information for practitioners to understand how consumers develop mobile shopping intentions, which is necessary to implement effective marketing strategies.     

What drives customers toward proximity payment services? An integrated theory of planned behavior perspective

Proximity mobile payment (PMP) services facilitate mobile payments between payer and payee who are at same location thorough a proximity technology such as QR codes, Bluetooth, and near-field communication. It has potential to drastically change consumers' payment methods in developing countries where traditional finance infrastructure is lacking. However, there are various challenges to adopting PMP in such countries. This study aims to explore users' opinions on and motivations for using PMP by proposing an extended theory of planned behavior (TPB) model. It also seeks to resolve inconsistencies in PMP adoption studies regarding the role of user's trust in PMP services. A survey instrument was used to collect data from PMP users in a developing country. The data were analyzed using structural equation modeling. This study highlights trust as a mitigator of the negative effect induced by the perceived risk of using PMP services. It also validates that the TPB, coupled with other contextual factors, explains the adoption of PMP services in developing countries.     

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.     

Understanding the intention to use mobile shopping applications and its influence on price sensitivity

This study employs an extended technology acceptance model (TAM) and the theory of diffusion of innovations (DOI) to understand the intention to use mobile commerce applications for shopping purposes. The variables—perceived enjoyment, perceived risk and personal innovativeness—were added to the original model. The price sensitivity criterion was predicted using the variables—perceived risk, personal innovativeness, satisfaction and the intention to use. An online questionnaire was circulated nationwide through email to verified e-commerce users and a sample of 675 respondents was taken for analysis through structural equation modeling approach. Gender, experience and frequency of using mobile shopping applications were used as moderators for all relationships. Findings of this study reveal that personal innovativeness and perceived risk play a major role in deciding the intention to use mobile shopping applications. Users who are highly innovative and with a higher intention to use mobile shopping applications are less sensitive to price. Various managerial implications including applications to differential pricing, improving adoption pace and segmenting consumers to design marketing strategies are discussed.     

Examining the antecedents and consequences of perceived shopping value through smart retail technology

This study examines the antecedents and consequences of perceived shopping value through smart retail technology. Specifically, we propose that perceived complexity, perceived advantage, perceived novelty and perceived risk of using smart retail technologies determine consumers’ perceived shopping value, which, in turn, influences their store loyalty and intentions to adopt smart retail technology. Further, we propose that consumer innovativeness moderates these relationships. Survey responses from 338 actual shoppers with prior experience of smart retail technology were used to test the research model, while structural equation modelling was used to develop the proposed hypotheses. The present study offers a better understanding of consumer adoption of smart retail technology that may help managers to develop adoption strategies for successful implementation of smart retail technology in-store.     

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.     

Exploring factors influencing US millennial consumers’ use of tap-and-go payment technology

ABSTRACT

Although mobile payment (MP) represents a possibility for traditional brick-and-mortar US retailers to enhance the quality of customer service, mobile payment adoption in the US has lagged, with research regarding this phenomenon in the US seemingly in its embryonic stage. The current study contributes to the literature on mobile payment adoption in the US by investigating the factors on US millennial consumers’ use of mobile payment technology, operationalized in the study as tap-and-go payment systems. The study mirrors a study of the acceptance of mobile shopping technology among German consumers, with some extension. The study incorporated mobile payment risk perception, system trust, and socio-cultural influence into an extended technology acceptance model (TAM) to explore this issue. Results from a survey conducted among 357 US Millennials indicate that perceived ease of use of MP (PEOUMP); perceived usefulness (PUMP); and risk perception all influence attitude toward mobile payment (AttMP). System trust, socio-cultural influence, and AttMP all influence MP use intention. The paper discussed the limitations of the study and future research directions.     

Under the sway of a mobile device during an in‐store shopping experience

Mobile device technology is transforming the retail shopping experience. Today's consumers are mobile dependent, preferring to consult with their phone, instead of using the salesperson, while shopping at the retail store. In the absence of literature investigating how the salesperson might sell to this omni‐channel, mobile‐connected consumer, this paper proposes a conceptual model and tests its proposed linkages. The empirically tested model presents a dyadic view of the omni‐channel consumer and the salesperson. Uniquely contributing to the omni‐channel and marketing literature, samples from an emerging economy (India) and developed (United States) economy represent the contexts. Specifically, the research examines the salesperson's role in selling to a mobile‐dependent consumer who uses mobile technology to search for information during the sales meeting. Findings show that adaptive selling can affect purchase intention and customer predisposition to comply with salesperson input. Results also reveal how perceived control, mobile dependence, and customer predisposition to comply with mobile device input affect purchase intention. Managerial and research implications specifically appropriate for the omni‐consumer retail setting are offered.     

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.     

Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness,Risk, and Trust

Mobile payments (MPs) are predicted to be one of the future's most successful mobile services but have achieved limited acceptance in developed countries to date. PCs are still the preferred technology for online shopping in the United Kingdom but the continued growth of mobile commerce (MC) is highly correlated with the success of remote MPs (RMPs). Currently MP research has largely ignored the variations between different MP solutions, and existing MP adoption studies have predominantly utilized Davis’ (1989) Technology Acceptance Model, which has been criticized for having a deterministic approach without much consideration for users’ individual characteristics. Therefore, this study applied the Unified Theory of Acceptance and Use of Technology (UTAUT), extended with more consumer‐related constructs, to explore the factors affecting nonusers’ intentions to adopt RMP in the United Kingdom. Quantitative data were collected (n = 268) and structural equation modeling was undertaken. The findings revealed that performance expectancy, social influence, innovativeness, and perceived risk significantly influenced nonusers’ intentions to adopt RMP, whereas effort expectancy did not. Inclusion of MP knowledge as a moderating variable revealed that there was a significant difference in the effect of trust on behavioral intention for those who knew about MP than for those who did not. These findings have important theoretical and practical implications, particularly for the development and marketing of RMP, which will support the long‐term success of MC.     

Searching online and buying offline: Understanding the role of channel-, consumer-, and product-related factors in determining webrooming intention

In recent times, the increasing accessibility of mobile technology has led to changes in consumers’ purchasing behavior. Despite the gloom and doom hearsay about how electronic commerce is threatening the existence of brick-and-mortar stores, by some indications, however, webrooming (i.e., the practice of researching items online, and then buying them offline) may be an even more common practice among shoppers. Against this background, this study proposes and empirically validates a comprehensive research model which incorporates consumer traits (i.e., need for touch, need for interaction, and price-comparison orientation), channel-related factors (i.e., online search convenience, perceived usefulness of online reviews, perceived helpfulness of in-store salespeople, and perceived risk of buying online), and smart shopping perception as antecedents of webrooming intention. Moreover, this study examines the moderating role of product category in predicting webrooming intention. A questionnaire-based survey was conducted. A total of 280 useable responses was collected and data was analyzed using partial least square structural equation modeling. The findings revealed significant direct and/or indirect effects (through smart shopping perception) of consumer traits and channel-related factors on webrooming intention. In addition, product category was found to moderate the relationship between price-comparison orientation, online search convenience, perceived risk, and webrooming intention. Theoretical and practical implications are discussed.     

Conceptualizing smart shopping with a smartphone: implications of the use of mobile devices for shopping productivity and value

This conceptual paper addresses the implications of the use of mobile devices in an omni-channel retail environment for consumer shopping productivity and shopping value. We reconsider the existing literature on shopping productivity and adopt the perspective of bounded rationality paradigm rather than the classical assumption of customers’ perfect rationality. It enables us to consider both maximizers (those who seek the best outcome) and satisficers (those who stop their information search as soon as an appropriate option is available). After a thorough review of shopping productivity literature, we propose a conceptualization of shopping productivity including four dimensions: time/effort savings, right purchase, money savings, and hedonic benefits from shopping. We then present a conceptual framework relating use of mobile devices in an omni-channel retail environment to consumer shopping productivity and shopping value. The type of goods and consumer tendency to maximize are included in the framework as possible antecedents of the use of mobile devices in an omni-channel retail environment and moderators of the relation between consumer shopping productivity and shopping value.     

What motivates customers to shop in smart shops? The impacts of smart technology and technology readiness

With the rapid diffusion of smart technologies, a new retail mode, the smart shop, has received increasing attention from both academia and practitioners in the 5G era. However, previous studies on smart shops have largely focused on the effects of smart technologies on technology adoption rather than customer shopping behaviors. To fill this gap, this study applies the hedonic information systems acceptance model (HISAM) to identify the utilitarian and hedonic motivations affecting consumer shopping intention. In addition, we characterize a second-order formative construct, technology readiness, as a technology-related personality to test its moderating role in the research model in the marketing context when consumer behaviors may differ due to individual characteristics. Using structural equation modeling (SEM), we applied SmartPLS 3.2.8 to analyze 298 valid samples. The results show that perceived ease of use significantly affects perceived usefulness and perceived enjoyment, in turn, these three factors directly influence shopping intention. Additionally, perceived ease of use will have a stronger impact on perceived usefulness and shopping intention when the customer has a high level of technology readiness. Finally, theoretical and practical suggestions and future research directions are also discussed.     

Antecedents and consequents of consumers not adopting e-commerce

This study investigated the antecedent and consequent factors of the non-adoption behavior of e-commerce, based on the Theory of Planned Behavior (TPB). For the antecedents, this research used the constructs of ‘attitude’, ‘subjective norms’, ‘perceived behavioral control (PBC)’, and ‘intention’. For the consequents, the constructs were ‘negative word-of-mouth’ and ‘disinterest in e-commerce’. The noteworthiness of this study is the investigation of non-adoption of e-commerce and its effects, as adoption behavior of e-commerce is more often studied. In addition, the study explains the resistance behavior of the consumer toward e-commerce through the TPB, which is rarely used for understanding resistance behaviors. Moreover, it explains the antecedents of non-adoption of e-commerce with constructs that reflect the perceptions and beliefs of the individual, which differs from previous studies. A survey was conducted with 260 people who stated they did not buy through e-commerce. To analyze the data, we used structural equation modeling with PLS. The results showed that the construct intention is positively influenced by the constructs attitude and PBC. Behavior was positively influenced by both intention and PBC and was the influencer of two consequent behaviors: negative word-of-mouth and disinterest in e-commerce. We observed no statistical significance between subjective norms and intention when considering the control variables. This research brings relevant information that can help e-commerce companies develop strategies specially aimed at reaching consumers resistant to online shopping.     

Social media adoption behaviour: Consumer innovativeness and participation intention

With the emergence of social media, the trends of selfies have become common across various social networking platforms as a distinctive way of self-presentation. It has aroused the interest of various scholars to comprehend the consumer adoption behaviour for social media. Thus, built on the innovation diffusion theory (IDT) and theory of planned behaviour (TPB) perspective, this paper developed a model to empirically test whether and how critical factors of consumer selfie-posting behavioural intention on social media affect behavioural intention and word-of-mouth to consequently enhancing their adoption behaviour towards social media to post selfies. The data were gathered from 353 young consumers who post their selfies clicked via smartphone on their social media accounts. The results revealed that consumer innovativeness and participation intention directly and indirectly affect consumer adoption behaviour for social media to post their selfies. Additionally, the study identified that among all critical factors, participation intention and perceived behaviour control have strongest influence on behavioural intention to post selfies followed by consumer innovativeness, attitude towards selfie-posting and subjective norms. The study contributes to the extension of TPB by adding participation intention and positive WOM, adoption of social media. This research validated the significant roles of consumer innovativeness, participation intention, positive WOM and intention to post selfies in predicting the adoption behaviour. Practitioners and marketers of social media sites can improve the usability and effectiveness of positive WOM and intention to post selfies to attract more young consumers.     

I need to touch it to buy it! How haptic information influences consumer shopping behavior across channels

Increasingly interactive touch-enabling technologies are mitigating the lack of haptic information for products online. This paper explores how consumers’ haptic traits – instrumental and autotelic – indirectly influence their impulse buying and channel stickiness intentions by the means of utilitarian and hedonic shopping motivations. A structural equation model investigating three shopping channels (i.e., physical, web, and mobile) reveals that haptic traits act differently across channels. Consumers with strong haptic traits prefer physical and mobile channels. The autotelic dimension is key in online channels. Findings support the implementation of effective multichannel strategies among retailers of high-haptic products, showing the mobile to be a valuable alternative to in-store shopping.     

The impact of mobile app adoption on physical and online channels

The authors investigate the impact of customers’ mobile app adoption on grocery shopping behaviors. Specifically, they investigate the cannibalization of existing physical and online channels by the newly adopted mobile app and evaluate changes in households’ total expenditures at the focal chain. They find that households adopting the mobile app marginally decrease their spending in physical stores, but considerably increase their expenditures and shopping trips through the mobile app. They present evidence that the mobile app plays a synergistic role for customers who never used a digital shopping channel. Lastly, the authors find a competitive encroachment effect by the mobile app. They find the impact of mobile app adoption is greater in markets where the focal chain faces more intense competition from a nearby competitor.     

Adoption of in-store mobile payment: Are perceived risk and convenience the only drivers?

Smartphones are changing the way consumers shop, even in brick-and-mortar settings. This study explores consumers’ adoption of proximity mobile payment technology (p-m-payment), which enables them to pay with their smartphones for purchases in a physical store. With a perceived value perspective, the authors identify utilitarian, hedonic, and social benefits and financial and privacy risks as key drivers. They also investigate differences compared with the drivers of more familiar mobile shopping usages and highlight the role of experience. The paper discusses implications for both mobile and channel research and recommendations to help retailers take advantage of p-m-payment technology.     

Consumer Adoption of Mobile Internet Services: An Exploratory Study

This study provides a framework that captures the antecedents of mobile internet adoption and the willingness to pay for such service. The theory of reasoned action and components of a theory of innovation adoption were integrated into a research model of consumer adoption of the mobile internet. The hypothesized model included service quality perceptions (fixed internet and mobile technology service), beliefs about mobile internet, and individual difference variables to explain intention to adopt mobile internet. An online questionnaire was used to gather data. The results showed that beliefs and quality perceptions play a significant role in influencing intentions to adopt mobile internet. In particular, beliefs about mobile internet are positively related to the adoption; quality perceptions of fixed internet are found significant to negatively influence adoption intentions, but positively relate to willingness to pay for using mobile internet. Mobile service usage, and peer influence are found non-significant to influence adoption intentions. Fixed internet usage was found negatively affect adoption intentions. Computer skills, knowledge of mobile internet and career mobility are all found positively related to the adoption. In addition, innovation driven consumers are more likely to adopt mobile internet, and intention to adopt plays an important role in shaping actual mobile internet use. Implications of results and directions for future research are examined.     

Fashion shopping on the go: A Dual-stage predictive-analytics SEM-ANN analysis on usage behaviour,experience response and cross-category usage

With the proliferation of mobile commerce, mobile shopping has become the buzzword in the electronic commerce industry. To examine the predictive factors that affect the usage behaviour, experience response, and cross-category usage in mobile fashion shopping, an integrated research framework, comprising of the Mobile Technology Acceptance Model and individual attributes in terms of lifestyle orientations was proposed. The quantitative data, derived from 500 qualified responses, collected through a survey questionnaire, was validated via a two-stage predictive-analytics SEM-ANN approach to identify the non-compensatory and non-linear relationship. All six of the ANN models showed consistent relationships and rankings with the SEM results. The findings imply that mobile commerce developers and designers should ensure that the functions provided can satisfy the evaluation criteria of users with different lifestyle orientations, whereby the advantages of the mobile commerce platforms should be highlighted in the marketing messages to drive first-time usage, as well as extended usage across different mobile commerce platforms (i.e., mobile sites and mobile applications) and product categories. From the theoretical perspective, the findings revealed the indirect influence of the individual attributes on the usage intention of innovative mobile technology. The research is also the first to adopt non-compensatory neural network analysis to compensate the linear SEM analysis in the study on mobile shopping of fashion products.