Mobile Shopping Research Articles

The role of mobile shopping service quality in enhancing customers M-satisfaction, M-loyalty, and E-word of mouth

With the increasing prevalence of mobile shopping (m-shopping) apps, service quality (SQ) has been recognized as a prominent factor in distinguishing the best apps available online. As limited studies have explored how to estimate mobile SQ, this study attempts to expand our understanding of the primary dimensions that shape customer judgments of the overall mobile SQ related to m-shopping activity by validating the mobile SQ (M-S-QUAL) scale in a new cultural setting, e.g., Egypt. It also examines the interrelationships between mobile SQ and three outcome variables: mobile satisfaction (m-satisfaction), mobile loyalty (m-loyalty), and electronic word of mouth (e-WOM). The results support the validity of using the M-S-QUAL scale to assess the mobile SQ of m-shopping platforms. Moreover, the findings emphasize the role of m-shopping SQ in enhancing consumers’ m-satisfaction, thereby improving m-loyalty and increasing favorable e-WOM. The results also show that responsiveness and efficiency are the primary driving forces underlying the SQ dimensions of the investigated outcome variables.Graphical abstract

Transformations in Consumer Buying Behavior: Investigating How Online Shopping Platforms

The advent of online shopping platforms has significantly transformed consumer buying behavior, revolutionizing the retail landscape. This study investigates the shifts in consumer preferences and purchasing patterns attributed to the proliferation of digital marketplaces. The research encompasses a comprehensive analysis of consumer behavior trends, drawing on both qualitative and quantitative data collected from surveys and market studies. The methodology involves a mixed-methods approach, integrating statistical analysis with thematic analysis to derive insights from consumer feedback and market data. The findings reveal a marked increase in the convenience and accessibility of shopping, which has driven a shift towards online purchases. Additionally, the study identifies critical factors influencing consumer decisions, such as personalized recommendations, competitive pricing, and the ease of comparing products. The results underscore the growing importance of mobile shopping and the role of social media in shaping consumer choices. In conclusion, the research highlights the transformative impact of online shopping platforms on consumer behavior, emphasizing the need for retailers to adapt to these changes by enhancing their digital presence and leveraging data analytics to better understand and meet consumer needs.

Behavioural patterns of leaders versus followers in setting local sales tax policy

AbstractSales tax has been a popular revenue source for local governments in 38 US states. In this fiscal climate, both horizontal and vertical tax competition are frequently observed. Local governments are concerned about adverse impacts thereof on their revenue as mobile shoppers react to tax rate changes by purchasing in lower‐tax jurisdictions. So far, few studies have accounted for potential endogeneity in the behavioural patterns of leaders versus followers in setting local sales tax policy. Using a 40‐year panel dataset from Texas, this study identifies leader municipalities in changing sales tax rates and examines how municipalities asymmetrically respond to multi‐tiered rate changes. The findings depict a crowding‐out story in vertical tax competition and reveal crowding‐in effects in horizontal competition, with leader municipalities immune to both effects.

Unveiling Shopee App Continuance Use: Insights from Malaysian Shoppers

The popularity and acceptance of mobile shopping apps have surged widely due to mobile technology advancement and the COVID-19 outbreak. Retaining customers would be challenging for all mobile shopping app platform operators, particularly in the post-Covid era. However, research on the continuance of mobile shopping apps must be addressed. Hence, the Shopee mobile shopping app was adopted as a case study to examine antecedent factors of continuance intention leading to its continuance use among consumers. This quantitative study was conducted in Klang Valley, Malaysia, and data was collected via a self-administered Google Form. The study included 386 respondents and was analysed using Partial Least Squares Structural Equation Model (PLS-SEM). Customer loyalty, the success quality factors of the information system, incentives, trust, and satisfaction positively affect Shopee's mobile shopping app's continuance intention. Furthermore, it is found that continuance intention does indeed have a crucial effect on continuance use. However, the study reported that perceived enjoyment did not influence continuance intention. The objective of this research is achieved as it manages to generate valuable knowledge on continuance intention and use. This paves the way for more effective development of sustainable user retention strategies.

On the Difference of Mobile Shopping Behavior Between Locals and Expatriates: The Roles of Culture and Perceived Value

This study verifies a model linking the relative advantage and complexity of mobile shopping apps with perceived value and behavioral intentions. It also investigates the moderating role of the customers’ nationality in terms of expatriates vs. native citizens, a factor that has been scarcely considered in the marketing literature. The findings of this study have significant practical implications, contributing to the development of targeting strategies in marketing. This study also uncovers new paths, namely the moderation of cultural dimensions: uncertainty avoidance and collectivism. A survey was distributed using two sampling paths, namely intercepts combined with snowball sampling. The sample comprised 350 participants of various nationalities. The results revealed significant differences between expats and native citizens regarding the impact of relative advantage and complexity on perceived value, as well as the latter’s effect on behavioral intentions toward mobile shopping apps.

Drivers and outcomes of a shopper-retailer's app relationship

Drawing on the theory of consumption values, consumer-brand relationship paradigm and “lovemark” notion, the reported research offers insights into the role of retail apps in cultivating meaningful relationships with mobile shoppers. The storyline of this research is that a strong shopper-retailer's app relationship is manifested by app respect and app love, which in turn, yield active app-supportive behaviors such as app evangelism and app defense. Both app respect and app love underpin shoppers' perceptions of an array of utilitarian- and hedonic-laden values derived from shopping apps. Data collected in retail fashion apps' settings lend support to the proposed model. App respect is more derived from the app's utilitarian-laden values, whereas app love is more derived from the app's hedonic-laden values. More specifically, functional and epistemic values, as utilitarian-laden values, generate app respect. Conditional, emotional, and social values, as hedonic-charged values, yield app love. Furthermore, app respect and app love generate distinct retailer's app relational outcomes; while app respect influences app defense, app love has more influence on app evangelism. The paper discusses the theoretical and managerial implications of the findings and offers directions for future research.

Comparative Analysis of Impulse Buying Behaviour Across Retail Channels: A Study of Physical Stores, E-commerce Websites and Mobile Shopping Apps

"The nuanced dynamics of impulse buying behaviour across diverse retail channels unveil a fascinating interplay between consumer psychology and the unique attributes of physical stores, e-commerce platforms, and mobile shopping apps. Delving into the intricate landscape of impulse buying behaviour across three prominent retail channels, namely physical brick-and-mortar stores, e-commerce websites, and mobile shopping applications, sheds light on how retail environments shape and influence impulsive buying behaviours. Employing a comprehensive research framework that encompasses the realms of behavioural psychology, astute marketing strategies and the nuanced analysis of digital interfaces unveils the underpinnings that drive impulsive purchases in each distinct retail environment. By means of meticulous data collection and rigorous scrutiny, this research discerns the unique determinants of impulsive buying behaviour, encompassing consumer motivations, environmental cues and the pivotal role of technology becomes apparent. The comparative analysis not only enriches understanding of the impulse buying phenomenon but also provides actionable insights for retailers and marketers keen on creating bespoke strategies tailored to the specific attributes of each retail channel. Presenting realistic implications for businesses seeking to optimize consumer engagement and bolster sales in today’s multifaceted retail landscape, the recognition of the varied triggers behind impulse buying across different platforms empowers retailers to cultivate precision-targeted approaches that deeply resonate with their intended audience, thereby amplifying the efficacy of their marketing endeavours. Undertaking an exhaustive comparative analysis of impulsive buying behaviour"

From Friends to Feedback: Effect of Social Influence on Mobile Shopping in the Post-COVID Era

Although mobile shopping is a new norm after the pandemic, its proliferation is still not very mature in developing nations. Drawing on the Unified Theory of Acceptance and Use of Technology (UTAUT) model, this research employs the SEM technique to examine the effect of mobile shopping frequency and repurchase intent among 198 young mobile shopping consumers in Pakistan. Our findings suggest that purchase frequency is a key variable in consumer behavior and plays a significant role in building mobile shopping repurchase intentions. Findings further suggest that effort expectancy, unlike the performance expectancy, also strongly affects the relationship between purchase frequency and repurchase intention as an intervening mechanism, while a strong interaction effect from the social influence is also noted. This research offers insightful implications for researchers and marketers in the realm of e-commerce and mobile shopping domains.

Navigating on Mobile Shopping Applications: Examining the Interplay among Online Customer Experience, Customer Brand Relationships and Customer Citizenship Behavior

Online customer experience is now a crucial business component. The present study examines the association between Online Customer Experience (OCE), Customer Brand Relationships (CBR) and Customer Citizenship Behavior (CCB) in the context of mobile shopping applications (MSAs) through a survey of 410 Indian consumers of MSAs, following judgment sampling. Subsequently, CB-SEM was used. OCE’s pragmatic and affective dimension significantly impacts CBR outcomes of satisfaction, loyalty and repurchase intention toward MSAs. CBR outcomes exert different impacts on CCB components, loyalty being the most crucial predictor of these components. The findings provide strategic implications for e-retailers operating through MSAs, promoting CCB.

An Empirical Study on The Role of Hedonic Motivation, Social Influence and Gamification in Influencing Mobile Shopping Adoption

An Empirical Study on The Role of Hedonic Motivation, Social Influence and Gamification in Influencing Mobile Shopping Adoption

Does Experience Matter? Unraveling the Drivers of Expert and Non-Expert Mobile Consumers

The surge in mobile shopping faces a challenge as not all potential consumers are comfortable with this mode. Retailers need a deeper understanding of factors influencing user experience to enhance marketing strategies. Despite extensive research, a gap remains in comprehending this aspect. Using a statistical PLS-SEM-ANN approach, this research aims to explore the psychological dimensions of expert and non-expert mobile shoppers for establishing better targeted marketing strategies in m-commerce settings. Analyzing experience levels in mobile commerce (m-commerce), key drivers like enjoyment, usefulness, subjective norms, and trust were scrutinized as interaction settings for consumers using mobile technologies. The findings reveal that, for less experienced m-shoppers, trust is the most significant driver of attitude and satisfaction, while, for experienced users, trust and usefulness are the primary antecedents. This research provides novel insights, aiding mobile marketers in refining targeting strategies based on consumer experience levels, emphasizing the importance of usefulness and trustworthiness for a seamless m-shopping experience.

Multifactor synergistic influence of data intelligence on consumer mobile shopping

AbstractData intelligence (DI) is constantly influencing consumers. According to the theory of environmental psychology model, when consumers are stimulated by enterprise DI in mobile shopping, they can easily transform emotional reactions into corresponding behaviors. Based on this theory, this research adopts a hybrid method combining qualitative interview and fuzzy set qualitative comparative analysis (fsQCA) to explore the multifactor synergistic effects of DI factors on consumer emotions and mobile shopping intentions. Study 1 extracts five DI factors through qualitative study using NVivo software. All but one of the five DI factors had strong effects on consumer emotions. Study 2 uses the fsQCA method to analyze large‐sample survey data, revealing four configurations of DI factors that trigger positive consumer emotions and three that trigger mobile shopping intentions. The presence of intelligent search, intelligent recommendations, and intelligent logistics are the core conditions that trigger positive consumer emotions and mobile shopping intentions, while the presence or absence of intelligent customer service and intelligent pricing trigger positive consumer emotions and mobile shopping intentions. The research results supplement the existing theories and provide practical guidance for enterprises in DI stimulus design and government in DI environment construction.

Assess the Impact of Hedonic Motivation, Social Influence, Gamification, And Education Level on Behavioral Intention to Adopt Mobile Shopping in Jakarta, Indonesia

Purpose: This study aims to assess the impact of hedonic motivation, social influence, gamification, and education level in the adoption of mobile shopping in Jakarta, Indonesia. Theoretical Framework: This study is based on the Social Cognitive Theory. This Theory is that human behavior originates from personal interactions (e.g., values, self-efficacy, outcome expectations), environment (e.g., other people's behavior, feedback), and behavioral factors (e.g., previous behavior), which are causal reciprocals triadic. Method: This research is quantitative and descriptive, with survey data collection. The research population consisted of undergraduate and graduate students using the Shopee application, a company engaged in mobile commerce. The sample consisted of consumers who agreed to participate in the survey, totaling 290 respondents. The research consisted of 5 variables: hedonic motivation, social influence, gamification, education level, and behavioral intention. Results and conclusion: The results indicate that hedonic motivation, social influence, gamification, and education level have a positive effect on behavioral intention to adopt mobile shopping. Research Implications: This study has practical implications for mobile shopping adoption. This is because this study emphasizes that the involvement of undergraduate and graduate students produces behavioral intentions in adopting mobile shopping. Consumers view hedonic motivation, social influence, gamification, and education level as essential in behavioral intentions to realize mobile shopping adoption. Originality/value: This research brings novelty by focusing on the education level in mobile shopping adoption. This also shows that developing hedonic motivation and social influence impacts engaging consumers and can strengthen their behavioral intentions, especially when combined with gamification.

The Effect of Mobile Shopping Service Quality on Customer Satisfaction and Customer Loyalty: A Case of Bukalapak in Indonesia

The Effect of Mobile Shopping Service Quality on Customer Satisfaction and Customer Loyalty: A Case of Bukalapak in Indonesia

Unveiling the Dynamics: An Empirical Study on the Adoption of Mobile Shopping Apps among Malaysian Consumers During the COVID-19 Pandemic

The growth of smartphone technology has facilitated the introduction of mobile shopping apps. These apps have revolutionized how people shop by providing convenient and accessible platforms for browsing, comparing, and purchasing products from the comfort of their mobile devices. This study aims to determine and understand factors that influence the adoption of mobile shopping apps among Malaysian consumers. Data were gathered via an online survey involving a sample of 319 mobile shopping app users in Malaysia. The data were then analysed using the Statistical Package for Social Science (SPSS) version 26.0 software. Findings indicate that perceived ease of use, and value consciousness have a significant positive effect on the adoption of mobile shopping apps but perceived usefulness did not have any significant influence. The findings can serve as a guideline for online retailers and marketers when formulating an effective marketing strategy to enhance the adoption of mobile shopping apps among Malaysian consumers.

Exploring the Impact of Device System Quality on Mobile Shopping Adoption among University Students: Symmetrical and Asymmetrical Approaches

Exploring the Impact of Device System Quality on Mobile Shopping Adoption among University Students: Symmetrical and Asymmetrical Approaches

Enhancing Mobile Shopping: Investigating Trust and Purchase Intentions in Vietnamese Mobile App Experiences

Enhancing Mobile Shopping: Investigating Trust and Purchase Intentions in Vietnamese Mobile App Experiences

Determinants of Mobile Shopping Apps Continuance Intention: A Review and Proposed Conceptual Model

Mobile shopping apps have experienced significant global growth due to the widespread adoption of mobile devices in everyday life. The exponential expansion of mobile shopping app usage has brought up both opportunities and challenges for service providers. For online businesses, maintaining their current users is a vital means of gaining a competitive edge. Hence, the primary objective of this research is to develop a conceptual model to examine the factors that influence users' intention to continue using mobile shopping apps. The Expectation-Confirmation Model (ECM) and the Theory of Network Externalities offer initial foundations for developing a unified conceptual model. This research has the potential to make a substantial contribution to the understanding of factors that influence continuance intention to use mobile shopping apps. It can benefit academicians, online businesses, service providers and mobile marketing practitioners

Analysis of Human Voice for Speaker Recognition: Concepts and Advancement

Human voice or speech is a contactless, non-invasive biometric trait for human recognition, easy to use with minimal computer complexity and inexpensive to implement. Speaker recognition (SR) has turned out to be a magnificent approach using speech as the central premise since decades. Its broad range of usages, like forensic speech verification to identify culprits by law enforcement authorities and access control to mobile banking, mobile shopping, etc., has made it a lucrative area of research. Also, the ease of use and dependability of SR will significantly assist people with disabilities in securely accessing and reaping the benefits of digital-era services. Additionally, the emergence of numerous deep learning methods for feature extraction and classification, has helped SR to achieve tremendous progress. This paper presents a comprehensive study on the progression of SR for decades till the present, including integration with Blockchain and challenges. It covers most of the factors that influence SR performance such as fundamentals and structure of SR, different speech pre-processing techniques, various speech features, feature extraction techniques, traditional and neural network-based classification techniques and deep learning-based SR toolkits. As a consequence, in this digital Blockchain era, it will help to design robust and reliable recognition-based services for mankind.

Business strategic insight: understanding the impact of perceived value and impulsiveness on consumer response in global mobile shopping

PurposeThis study aims to contribute to the International Business literature by investigating the marketing stimuli that drive impulsiveness and perceived value in mobile shopping (MS) platforms and their impact on consumer response.Design/methodology/approachThis study uses a sample of 891 MS platform users and applies structural equation modeling based on the stimulus–organism–response and the consumption value theory.FindingsThe empirical finding revealed that rewards, recognition, reviews and ratings are the most influential factors driving perceived value. In addition, the results indicated that customized offerings and visually appealing experiences were the most critical factors affecting the state of impulsiveness. This study also highlights the negative impact of the ubiquitous nature of MS on impulse buying behavior, emphasizing the importance of providing consumers with tools to make informed decisions. This study demonstrates a significant positive relationship between perceived value and impulsiveness, influencing MS.Practical implicationsThis study reveals generational differences in the impact of reviews and ratings on perceived value, which can inform businesses’ MS strategies. The results have implications for managers of international firms seeking to optimize their business strategies.Originality/valueTo the best of the authors’ knowledge, using structural equation modeling, this study is the first to conduct a comprehensive examination of marketing stimuli, impulsiveness and perceived value in MS platforms. It offers businesses strategic insights by identifying rewards, recognition and customized offerings as the key determinants of consumer behavior.