The mobile shopping revolution: Redefining the consumer decision process

Faulds, David J.; Mangold, W. Glynn; Raju, P. S.; Valsalan, Sarath

doi:10.1016/j.bushor.2017.11.012

Cited by 85 publications

(72 citation statements)

References 4 publications

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“…After an extensive review of the literature, we identify four pillars that form the foundation for the mobile shopping revolution and represent the essential ways and means through which retailers can engage with consumers during the decision process. We also discuss the different areas in which the pillars can enable retailers to achieve a sustainable competitive advantage in the mobile shopping era (Faulds, et al 2018). Yang and Lee (2017) focused on distinguishing mobile interactivity (m-interactivity) from interactivity via fixed broadband Internet (e-interactivity).…”

Section: Figure 2: Global Mobile Traffic Growth Petabytes Per Monthmentioning

confidence: 99%

The Smartphone Users Behavior for Mcommerce—An Empirical Study

Chao¹,

Ping²,

Wang³

2019

IJBHT

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Smartphone has become an important phenomenon in the retail industry in the past 22 years. Since Apple introduced its first generation of iPhone in 2007, smartphone has penetrated about 70% of American population. American adults spend more time on their smartphones, do more shopping than on their personal computers. As a result, mobile commerce has emerged from a supplement to electronic commerce and has become a heavily weighted sector in the electronic retail businesses. In next few years, US mcommerce will be outpaced other ecommerce. Marketers need to better understand this market segment, and better target smartphone users through programmatic advertising, particularly when they find the phone users are interested in particular products they browse. This study focuses on several aspects of the phone users' behavior. The results of this research may offer a glimpse for researchers and marketers alike.

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Section: Figure 2: Global Mobile Traffic Growth Petabytes Per Monthmentioning

confidence: 99%

The Smartphone Users Behavior for Mcommerce—An Empirical Study

Chao¹,

Ping²,

Wang³

2019

IJBHT

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“…Mobile devices are becoming ubiquitous (Shankar, Venkatesh, Hofacker, & Naik, 2010) and the digital world will be based on mobility (Papakonstantinidis, 2017), making mobile marketing increasingly important and potentially different from PC internet and traditional marketing (Faulds, Mangold, Raju, & Valsalan, 2018;Lamberton & Stephen, 2016;Ström, Vendel, & Bredican, 2014). Shankar and Balasubramanian (2009) present mobile marketing specificities by defining the concept as two-way or multi-way of communication and promotion of an offer between a firm and its customers using a mobile medium, device, or technology and includes advertising, promotion, customer support, and other relationship-building activities.…”

Section: Introductionmentioning

confidence: 99%

Comparing The In-Store Use Of Smartphones Between Shoppers Of Generations X-Y-Z

Silveira¹

2019

The European Proceedings of Social and Behavioural Sciences

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This research aims to contribute to digital shopper marketing and omnichannel themes, by analyzing if the generations X (also called "13th generation"), Generation Y (also called "Millennials") and Generation Z (also called "Centennials") have different behaviors on the use of smartphones during their shopping journeys in bricks-and-mortar retail stores. For that purpose, an empirical quantitative study was conducted, via an online questionnaire. The questionnaire was applied to a sample of 913 individuals, corresponding to 27% of generation X, 44% from generation Y, and 29% from generation Z. There were found some differences between those generations regarding the actions made with the help of smartphones during the visit to the physical store. The main differences were found on the actions: checking for prices online on competitor websites; checking for prices online on the physical store own website; asking for advice with the help of the smartphone, showing pictures of products to store employees and on the use of smartphones to search online for coupons or discounts.

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“…Introduction I n the current economic scenario, with the growth of online commercial retail transactions, the recent literature has highlighted the distributed intelligence emerging from all human and technological agents interacting on the internet (Heylighen and Lenartowicz, 2017). In recent decades, the retail sector has undergone a huge digital transformation (Hagberg et al, 2017), such as the integration of new digital technologies (Petit et al, 2019), digital business models (Xu and Koivumäki, 2019), including platform-based multi-sided market places (Hänninen et al, 2019), access to information, a global vision, and changes in computation and mobile shopping (Faulds et al, 2018). All of these digital transformations have led to changes in people's purchase behavior and, consequently, that of the consumer.…”

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confidence: 99%

“…With the new digital technologies, the consumer's decisionmaking process is described as a continuous and interactive activity, requiring retailers to adopt a more holistic mentality and concentrate on influencing the process rather than concentrating exclusively on the result of the consumer's decision (Conrado, 2018;Faulds et al, 2018). A critical factor in the decision-making process in the digital environment is credibility, which enables the achievement of a higher conversion rate.…”

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confidence: 99%

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Online customer behavior: perceptions regarding the types of risks incurred through online purchases

Bach¹,

Silva

Souza

et al. 2020

Palgrave Commun

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ABASTRACT Deciding to make online purchases can be risky and retailers have an opportunity to influence the consumer's decision-making process. The aim of this article is to gauge the impact of different types of risks on trust and decision making with regard to online purchases. We conducted a survey with adaptations to three theoretical scales. To analyze the impact of risk on the variables of trust and decision making, a confirmatory factor analysis was performed, and to clarify the relationships between these constructs, a structural equation model was prepared. A qualitative (n = 13) and quantitative study were conducted with primary data (n = 328) collected by means of a structured questionnaire using a sample of a group of consumers who reside in the south of Brazil. The article makes four main contributions to the field: (i) it identifies the influence of three latent constructs that might affect online purchase behavior; (ii) it gauges the risks associated with the latent construct of trust and the adaptation of scales of perceived risk and decision making; (iii) it highlights the need to reassess the strategies adopted by companies that sell online to reduce risks and consequently increase trust in decision making; and (iv) it evaluates the demographic variables that have a significant moderating effect on the relationships of the constructs of trust and decision making during the purchase process.

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The mobile shopping revolution: Redefining the consumer decision process

Cited by 85 publications

References 4 publications

The Smartphone Users Behavior for Mcommerce—An Empirical Study

The Smartphone Users Behavior for Mcommerce—An Empirical Study

Comparing The In-Store Use Of Smartphones Between Shoppers Of Generations X-Y-Z

Online customer behavior: perceptions regarding the types of risks incurred through online purchases

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