scholarly journals JOM Augmented Reality Mobile Shopping Behavior

2021 ◽  
Vol 9 (2) ◽  
pp. 77-86
Author(s):  
Liew W. J. ◽  
◽  
JosephNg P. S. ◽  
2021 ◽  
pp. 1-17
Author(s):  
Alsius David ◽  
William D. Senn ◽  
Daniel A. Peak ◽  
Victor R. Prybutok ◽  
Charles Blankson

2018 ◽  
Vol 7 (3.3) ◽  
pp. 51
Author(s):  
Rhytheema Dulloo

The purpose of this paper is to provide clear understanding of the increasing use of mobiles for shopping to e-tailers by classifying and organizing an exhaustive review of prior theoretical literature. To conduct the review author draws a sample of 250 articles published from addressing mobile shopping behavior of customers. This paper provides foremost organized review of mobile shopping literature thus providing opportunities for brands to build a focused marketing tactic to enhance mobile shopper engagement, leading to increased sales.  


2020 ◽  
Vol 2020 ◽  
pp. 1450-1450
Author(s):  
Jae Yeon Yoon ◽  
◽  
Jeonghye Choi ◽  
Sue Ryung Chang

2019 ◽  
Vol 33 ◽  
pp. 47-56
Author(s):  
Jun Hong He ◽  
Fu Li ◽  
Shang Rong Du ◽  
Yi Tao ◽  
Zhong Xiang Li

In mobile shopping, consumer emotion can be influenced by various stimuli more easily than before. Understanding the methods to stimulate consumer emotions can help companies to push consumers to mobile shopping. However, this has been rarely discussed in the previous studies. By applying ATLAS.ti 7 to conduct three levels coding of interview data and analyze the relationships between different level codes, the qualitative study was used to discuss and identify the factors that influenced consumer emotion in mobile shopping. The study showed that at the social level, mobile technology, convenience and entertainment of mobile shopping, and mobile friends circle influenced all consumer emotions, while sharing of mobile shopping only influenced consumer’s pleasure and arousal emotions. At the organizational level, both interface quality and integrity of mobile sales terminal influenced all consumer emotions, while sales promotion in mobile sales terminal only influenced consumer’s pleasure and arousal emotions. The conclusions can enrich the theories of mobile shopping behavior and consumer emotion.


Informatics ◽  
2020 ◽  
Vol 7 (2) ◽  
pp. 14
Author(s):  
Jungmin Yoo

Augmented reality (AR) enables consumers to browse and try products virtually by providing additional information and functionality to mobile shopping. Retailers continue to develop AR technology to engage consumers and enhance their digital shopping experiences. However, despite the growing interest in this technology, consumers rarely rely on AR due to the quality of its content. This study applies an information systems success model to examine the antecedents that influence the adoption of mobile technology, specifically focusing on consumers’ perception of AR quality and its effect on perceived diagnosticity and consumer satisfaction when using AR technology. Moreover, the study examines how perceived diagnosticity and satisfaction influence loyalty. The study participants were 283 shoppers in Korea who have previously experienced mobile shopping, with data collected through an online survey. The results show that when using AR, (1) the consumer’s perceptions of information quality and visual quality positively influence perceived diagnosticity and satisfaction, (2) perceived diagnosticity positively influences satisfaction and (3) satisfaction positively influences loyalty. These results have practical implications for mobile retailers seeking to develop effective product presentation strategies using innovative technologies.


2018 ◽  
Vol 30 (1) ◽  
pp. 139-162 ◽  
Author(s):  
Khushbu Madan ◽  
Rajan Yadav

Purpose The purpose of this paper is to determine the key factors influencing mobile shopping adoption intention and actual usage in the backdrop of the moderating effect of gender and age. Design/methodology/approach The study identifies eight independent variables including two relatively new variables, i.e. perceived regulatory support (PRS) and perceived benefits, and proposes an integrated framework to understand mobile shopping behavior. A total of 304 mobile device users were surveyed using a comprehensive questionnaire. The collected data were utilized to analyze the hypothesized relationships through structural equation modeling. Findings The results indicated that all the factors considered in the framework were significant in predicting mobile shopping behavioral intention (BI) except for PRS. Demographic variables such as age and gender moderate the effect of factors such as perceived critical mass, personal innovativeness and hedonic motivation on mobile shopping BI. Research limitations/implications The small sample sizes and a possibility to include new variables other than consumer-centric factors are some of the limitations of this study. Practical implications The findings of this paper are of significant use for mobile shopping app developers, mobile payment gateway providers and other institutions involved in facilitation and provision of such mobile shopping services to develop suitable strategies to encourage adoption of mobile devices as a medium of online shopping. Originality/value The study is first of its kind in India and integrates variables from different areas of technology adoption along with two new variables, i.e PRS and perceived benefits to understand mobile shopping behavior.


2021 ◽  
Vol 12 (4) ◽  
pp. 1033-1062
Author(s):  
Mihai Andronie ◽  
George Lăzăroiu ◽  
Roxana Ștefănescu ◽  
Luminița Ionescu ◽  
Mădălina Cocoșatu

Research background: With growing evidence of consumer adoption of mobile shopping apps, there is a pivotal need for comprehending Internet-enabled consumer devices in mobile shopping behavior. Mobile shopping platform features and user technological readiness configure consumers? expectations and demands as regards mobile retailing adoption, leading to acceptance of mobile shopping apps and payment services. Purpose of the article: In this research, prior findings have been cumulated indicating that mobile social apps extend throughout consumer attitudes and behaviors by the widespread adoption of smartphones. We contribute to the literature by showing that cutting-edge technological developments associated with customer behavior in relation to mobile commerce apps have resulted in the rise of data-driven systems. Consumer behavioral intention and adoption intention in relation to mobile shopping apps/websites are developed on perceived risk and trust consequences. Methods: Throughout February and March 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was carried out, with search terms comprising ?mobile shopping app?, ?mobile commerce platform?, ?mobile payment service?, ?Internet-enabled consumer device?, ?consumer technological adoption?, and ?mobile shopping behavior?. As research published between 2018 and 2021 was analyzed, only 330 sources met the suitability criteria. By removing questionable or indeterminate findings (insubstantial/inconsequent data), results unconfirmed by replication, too imprecise content, or having quite similar titles, 66, chiefly empirical, sources were selected. A systematic review of recently published literature was carried out on technological adoption of mobile commerce apps by employing Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. The Systematic Review Data Repository was used, a software program for the gathering, handling, and analysis of data for the systematic review. The quality of the academic articles was determined by harnessing the Mixed Method Appraisal Tool. Findings & value added: The consumer purchase decision?making process in mobile app-based marketing involves consumer engagement and willingness to adopt mobile commerce apps. Further advancements should clarify how technological-based consumer adoption of mobile shopping throughout social commerce can improve the payment for products and services.


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