Measuring ease of use of mobile applications in e-commerce retailing from the perspective of consumer online shopping behaviour patterns

Scientifically judging and comparing different mobile e-commerce retailing applications (apps) are essential to increase online shopping efficiency and enhance design for system improvement. In this research, the use of mobile apps in e-commerce retailing is viewed as an information operation process, and distance of information-state transition (DIT) theory is introduced to measure the “convenience” of mobile apps to obtain service information. Thus, a novel DIT-based evaluation method for the ease of use of mobile apps in e-commerce retailing from the perspective of consumer online shopping behaviour patterns is proposed. Three representative Chinese enterprises, namely, Tianmao Mall, Jingdong Mall and Suning Easy-to-buy, are chosen as study objects. Moreover, the corresponding ease-of-use indicators of three mobile apps under typical online shopping behaviour patterns are evaluated quantitatively. Results show that this research has important implications not only for online consumers but also for designers of online shopping systems.     

App Users Unwittingly in the Spotlight: A Model of Privacy Protection in Mobile Apps

Mobile apps are increasingly jeopardizing app users' online privacy by collecting, storing, and sharing personal data disclosed via apps. However, little is known about mobile app users' current privacy protection behavior and the factors that motivate it. Drawing on Roger's Protection Motivation Theory (PMT), this study develops and tests the App Privacy Protection Model among 1,593 Western European app users. The results demonstrate that, on the one hand, increased levels of perceived self‐efficacy, vulnerability, and privacy concern enhance mobile app users' motivation to engage in risk‐reducing behavior, while on the other hand, higher levels of knowledge of the data collection practices of mobile apps, app attitude, and perceived response costs diminish it. Being the first study that applies PMT in the mobile app context, this study offers several important implications regarding privacy protection in mobile apps.     

Text mining approach to explore determinants of grocery mobile app satisfaction using online customer reviews

In recent years, there has been proliferation of grocery mobile apps as grocery shopping on mobile has found increasing acceptance among customers accelerated by multiple factors. Maintaining high level of customer satisfaction is important for grocery mobile apps in the highly competitive app market. Online reviews have been a rich source of information to analyze customer satisfaction with a product or service. This paper explores the determinants of customer satisfaction for grocery mobile apps using online reviews. Latent Dirichlet Analysis (LDA), which is a text mining technique, is used to analyze online customer reviews of 27,337 customers to identify determinants of customer satisfaction. The determinants identified were further analyzed using a series of analysis to understand the importance of each determinant. Dominance analysis examined the relative importance of the determinants of customer satisfaction based on the overall rating. Correspondence analysis identified determinants which cause satisfaction separately from the determinants which cause dissatisfaction. The results from this study will provide insights to business managers of grocery mobile apps for decision-making on customer satisfaction management.     

Gamification and Mobile Marketing Effectiveness

A variety of business sectors have been buffeted by the diffusion of mobile technology, a trend that presents a variety of difficult challenges but interesting opportunities to marketers. One such opportunity is gamification, which, one hopes, will enhance appeal to mobile consumers. Our sense from both personal experience and the literature is that the gamified mobile apps currently offered by firms mostly miss the mark. We provide a systematic overview of game design and note how principles derived from that field are highly applicable to gamification in mobile marketing settings. We are aided by the work of Schell (2008), whose Elemental Game Tetrad Model allows us to offer a coherent look at how gamification should affect mobile marketing outcomes.     

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 Purchase Paths and Conversion Dynamics across Multiple Websites

Low transportation costs online allow shoppers to visit multiple e-commerce sites for a purchase decision. This research investigates online shoppers’ visit and purchase behaviors across competing websites. To consider that shoppers’ longitudinal cross-site visit data may consist of several unobserved shopping episodes, we propose a modeling approach to probabilistically clustering and relating online visits to latent shopping episodes, based on the temporal patterns of the visit events. The inferences are then used to examine shoppers’ visit-to-purchase behavior across websites. Using Internet clickstream data on individual-level browsing and transaction records at major air travel sites, we find that online shoppers’ cross-site visit patterns tend to be clustered and the purchase propensity is significantly higher at later visits within a visit cluster, compared to earlier visits. As our results suggest the possibility that visit clusters can serve as a reasonable proxy for shopping episodes, we look further into shoppers’ website choice and purchase behaviors within a cluster. We discuss how the cluster-based analysis can help managers tailor online marketing and advertising strategies based on shoppers’ cross-site visit and purchase patterns.     

Buying Groceries in Brick and Click Stores: Category Allocation Decisions and the Moderating Effect of Online Buying Experience

The large majority of online grocery shoppers are multichannel shoppers who keep visiting offline grocery stores to combine convenience advantages of online shopping with self-service advantages of offline stores. An important retail management question, therefore, is how these consumers divide grocery purchases across the retailer's online and offline channel. We provide a comprehensive analysis of the impact of category characteristics on the allocation pattern of multichannel grocery shoppers and find that category allocation decisions are affected not only by marketing mix differences between the online and offline channel, but also by intrinsic category characteristics like perceived purchase risk and shopping convenience. In addition, we examine the effect of online buying experience. In line with expectations, we find that it can affect allocation patterns in different ways: (i) it attenuates the perceived risk of buying sensory categories online, thereby reducing differences in online category share, (ii) it reinforces marketing mix (assortment) effects, thereby making online category share differences more pronounced, and (iii) it has no effect for factors such as promotions that are easy to evaluate without experience, thereby leaving the online category share stable. In addition to different experience effects across allocation factors, we also observe variations in experience effects across consumer segments.     

Extrinsic and intrinsic motivators for usage continuance of hedonic mobile apps

This study explores intrinsic (i.e., perceived enjoyment, perceived involvement) and extrinsic motivator (i.e., perceived usefulness, convenience, perceived ease of use) for usage continuance of hedonic mobile applications (apps). Satisfaction serves as an important link between motivators and continued willingness to use, therefore its effect was analysed through mediation. Data was collected through an online survey and a total of 720 valid responses were received. Results showed that intrinsic motivators had a significant effect on continued willingness to use (CWU) and extrinsic motivators on satisfaction for hedonic mobile apps. Extrinsic motivators strongly mediate the relationship between intrinsic motivators and satisfaction. Factors related to viewing patterns (i.e., viewing frequency, viewing time) and demographic factors (i.e., age, education) moderated relationships in the model. This study provides significant theoretical and practical implications for researchers in the domain of mobile applications. The study introduces convenience as a determinant of satisfaction and validates the existence of duality for dimensions of motivators.     

The Impact of Mobile App Adoption on Cross-buying: The Moderating Roles of Product Category Characteristics and Adoption Timing

With more and more companies introducing mobile apps and consumers using them during the purchase journey, it is increasingly important to understand the consequences of app adoption on behavioral outcomes. This paper investigates the impact of app adoption on the number of additional products purchased by customers (i.e., cross-buying) and how this effect varies across different product categories and different customers. We focus on two key product category characteristics (utilitarian vs. hedonic nature and perceived risk) and on adopters who vary in their adoption timings (early vs. late adopters). Using data from an online retailer and a combination of propensity score weighting with difference-in-differences and Heckman correction estimation techniques, the results show that app adoption has a positive effect on cross-buying overall, but the effect varies greatly across products and consumers. App adoption promotes additional product purchases for hedonic products but leads to less cross-buying for utilitarian products. In addition, early adopters purchase a higher number of additional product categories than late adopters, with this difference decreasing over time and for new consumers compared to existing customers. These results offer novel insights into the behavioral consequences of app adoption and provide managers with useful recommendations for improving the effectiveness of their mobile app investments.     

Feeling hungry? let's order through mobile! examining the fast food mobile commerce in China

This study proposes a unique framework that aids to enrich online shopping experience (psychological and monetary gains) and accelerates fast food mobile commerce (m-commerce). The extended technology acceptance model (TAM) is applied while the stimulus–organism–response (S–O–R) paradigm served as the predominant framework combined with the acquisition-transaction utility theory. This study investigates the mobile website quality, website brand equity (stimulus) influence on (PEOU) and (PU) (organism) to predict Chinese consumer intention to use fast food mobile commerce (response). A total of 936 respondents were participated while data were collected using a convenience sampling technique in China. Results reveal that all dimensions of mobile WQ (i.e., service quality, system quality, and information quality) and Website BE (i.e., brand image, perceived quality, brand association, and brand loyalty) (stimulus) significantly substantially influence PEOU and PU (organism) toward the acceptance of online fast food shopping (response). Digital Coupon Proneness (an accelerator) substantially moderates the relationship between PEOU, PU, and intention to use fast food m-commerce. Based on the assumptions of acquisition-transaction utility theory, category-specific (fast food) digital coupon proneness increase m-commerce for online fast food buying– a novel contribution of the study. Furthermore, research provides unique managerial insights for the industry to utilize the maximum potential of m-commerce in the fast-food industry.     

The Impact of the Multi-channel Retail Mix on Online Store Choice: Does Online Experience Matter?

More and more grocery retailers are becoming multi-channel retailers, as they are opening an online alternative next to their traditional offline supermarkets. While the number of multi-channel grocery shoppers is also expanding at a fast growth rate, there are still large differences in online shopping frequency, and as a result, in the levels of experience with buying in the online grocery channel. This study wants to (i) identify the underlying drivers of online store choice and (ii) explore if and how these drivers change when multi-channel shoppers gain online grocery shopping experience. We investigate this question with an online store choice model using purchase data of an extensive UK household panel over a two-year period, covering all multi-channel retailers in the grocery market. Our results show that multi-channel shoppers, at the start of online grocery shopping, tend to select the online store belonging to the same chain as their preferred offline store, especially when the online store is strongly integrated with the offline store in terms of assortment. When online grocery shopping experience increases, multi-channel shoppers’ focus shifts from a comparison within a chain across channels to a comparison across chains within the online channel, resulting in an increasing importance of online assortment attractiveness and online loyalty when choosing an online store.     

Determinants of switching intention from web-based stores to retail apps: Habit as a moderator

Online retailers seek to motivate their customers to switch from web-based stores to retail apps as using the latter as a shopping channel has many benefits for retailers compared to web-based stores. This study aims to examine the drivers of customers' intention to switch from web-based stores to retail apps by applying the Stimulus-Organism-Response (S–O-R) model. The moderating role of habit was investigated. Data were collected from 389 Malaysian individuals through an online survey and analysed using the partial least squares technique. The results indicated that performance expectancy has a significant influence on switching intention and is driven by mobile characteristics. Furthermore, effort expectancy has a positive effect on both performance expectancy and switching intention and is triggered by visual complexity and aesthetic quality. The moderating effects of habit on the associations between performance expectancy, effort expectancy and switching intention were not supported. The findings extend the literature on retail apps by exploring the switching intention drivers and testing the moderating effect of culture, which have received less attention. The results enable retail apps' developers and marketers to strategise retail apps development and marketing activities in a way that encourages current web-based stores’ customers to use retail apps as a better alternative.     

Solving the crisis of immediacy: How digital technology can transform the customer experience

Marketers are currently facing a ‘crisis of immediacy’ challenge: how to meet consumers’ need to receive content, expertise, and personalized solutions in real time during their shopping experience. Today's digital technologies—such as video conferencing, location-based mobile apps, and augmented reality—provide a highly personalized and immersive environment that allows for interactivity and rich information exchange between the brand and consumer. We conducted in-depth interviews with over 35 retailers, large-scale surveys with international shoppers, and pilot projects with stores and banking institutions to study how companies are leveraging digital technologies to transform the customer experience. Our findings show that there are two main technology-based models that organizations are deploying to support customers’ immediate needs: the remote expert and the digital assistant. We provide company examples of both models, as well as when they are most appropriate and success factors to inform managers.     

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.     

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.     

Antecedents of flow in retail store shopping

“Flow” has been established as a critical determinant of an online shopping experience. Online consumers with flow experience tend to be less price-sensitive and to have favorable attitudes and high re-patronage intention. As retail stores account for 90% of retail sales, it is important to advance our knowledge of flow theory in physical retail stores. However, the antecedents (navigational challenge, web skill) derived from the extant online flow literature are not applicable to in-store shopping. To fill the void, the two objectives here are (1) to provide a theoretical foundation to develop the antecedents (challenges and skills) associated with in-store shopping, and (2) to examine their impacts on consumer flow experience (concentration, control, and enjoyment) and subsequent future shopping intentions. The results will advance the literature of flow and offer helpful suggestions to retail marketing.     

Online grocery shopping: the impact of shopping frequency on perceived risk

Online grocery shopping has enjoyed strong growth and it is predicted this channel will continue to grow exponentially in the coming years. While online shopping has attracted an abundance of research interest, examinations of online grocery shopping behaviour are only now emerging. Shopping online for groceries differs considerably from general online shopping due to the perishability and variability of the product, and frequency of the shopping activity. Two salient gaps underpin this research into online grocery shopping. This study responds to calls to investigate the online shoppers’ experience in the context of online purchasing frequency. Second, this study examines the mediating effect of perceived risk between trust and online repurchase intention of groceries. An online survey was employed to collect data from shoppers who were recruited from a multi-channel grocery e-retailer’s database. The online survey, comprising 16 reflective validated scale items, was sent to 555 frequent and infrequent online grocery shoppers. Results find that while customer satisfaction predicts trust for both infrequent and frequent online grocery shoppers, perceived risk fully mediates the effect of trust on repurchase intentions for infrequent online grocery shoppers. Furthermore, path analysis reveals that the developed behavioural model is variant across both groups of shoppers. Theoretically, we provide a deeper understanding of the online customer experience, while gaining insight into two shopper segments identified as being important to grocery e-retailers. For managers, this study tests an online customer behavioural model with actual purchasing behaviour and identifies the continued presence of perceived risk in grocery e-retailing, regardless of purchase frequency or experience.     

An Empirical Segmentation of Users of Mobile Banking Apps

Digital technologies have squeezed the entire world into a small frame. Trade and transactions never stop, and they go where the customer is. Marketers must reinvent their strategies and toolkits to win in this hyper-connected world. Companies are creating new and improved ways for engaging and involving their consumers, and one significant tool now used by companies for these purposes is the app. Mobile phones have registered the highest growth among all technological evolutions, and mobile apps are proliferating. Apps are being used across a diverse range of industry verticals, including banking, e-commerce, travel, and tourism. This article studies a set of twenty different banking apps and segments consumers based on their adoption and usage of the apps. This article emphasizes the role of mobile technologies to change established channels and banking services, and also analyzes how the Indian banking sector has benefited from the adoption of mobile apps.     

Utilizing mobile devices to enrich the learning style of students

As digital technologies evolve in education, business faculty have increased access to an extensive range of mobile devices and online applications to help them inspire students' passion for learning. Adopting new digital approaches to teaching can also enhance the learning style of students who are immersed in the use of digital devices. How can the use of these devices and associated applications (apps) help students broaden the opportunities for a more effective learning experience? In this exploratory article, the authors examine the impact of two mobile apps—Flipboard and Stitcher—on students' learning and engagement with class-assigned marketing materials. Students enjoyed Flipboard more than Stitcher in contributing to the requirements of class work.     

Website evaluation criteria among US college student consumers with different shopping orientations and Internet channel usage

The purpose of this study was to compare the website evaluation criteria among college student consumers in the US with different shopping orientations and Internet channel usage (i.e. online information searchers, online purchasers). The sample for this research was 414 college students, non‐married and aged 18–22 who have experience in visiting websites selling apparel products. Five apparel website evaluation criteria were identified by factor analysis (i.e. product information, customer service, privacy/security, navigation, auditory experience/comparison shopping). Based on shopping orientation factors, cluster analysis revealed three shopping orientation clusters (i.e. Hesitant In‐home Shoppers, Practical Clothing Shoppers, Involved Clothing Shoppers). Factorial manova showed that website evaluation criteria were significantly different among college student consumers with different shopping orientations and between online information searchers and online purchasers. Implications and limitations of the study are discussed.