Mobile Shoppers: Types, Drivers, and Impediments

Gutiérrez, Sonia San Martín; López‐Catalán, Blanca; Ramón-Jerónimo, María A.

doi:10.1080/10919392.2013.837793

Cited by 38 publications

(27 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, attitude towards adopting technology directly affects the behavioural intention of consumers (San-Martin, López-Catalán, & Ramón-Jerónimo, 2013). Similarly, behavioural intention significantly affects actual use of the technology (Venkatesh & Davis, 2000).…”

Section: Technology Acceptance Modelmentioning

confidence: 98%

Tourist behaviour towards self-service hotel technology adoption: Trust and subjective norm as key antecedents

Kaushik

Agrawal

Rahman

2015

Tourism Management Perspectives

167

119

View full text Add to dashboard Cite

Section: Technology Acceptance Modelmentioning

confidence: 98%

Tourist behaviour towards self-service hotel technology adoption: Trust and subjective norm as key antecedents

Kaushik

Agrawal

Rahman

2015

Tourism Management Perspectives

167

119

View full text Add to dashboard Cite

“…Furthermore, the Technology Acceptance Model (TAM) indicates that perceived ease of use and perceived usefulness are the two main beliefs that determine one's intention to use technology [26]. TAM has been the mostly constantly used or extended model regarding m-service adoption and m-shopping, comparing favorably to TRA and TPB [65], [86], [88], [108].…”

Section: Introductionmentioning

confidence: 99%

Mobile Shopping Consumers’ Behavior: An Exploratory Study and Review

Saprikis

Markos

Ζάρμπου

et al. 2018

J. theor. appl. electron. commer. res.

View full text Add to dashboard Cite

Mobile Technology is creating a range of tremendous opportunities and new revenue streams for businesses across industry sectors through the delivery of chargeable mobile products and services via the deployment of innovative value-added solutions that exploit the commercial benefits of mobility. To keep up with the pace of change, companies increasingly want to understand the behavioral attitude of the modern mobile consumer. The aim of this paper is to find out users' reaction towards different parameters that would influence their intention to utilize their mobile devices in order to purchase products and services online focusing on the current Greek reality. The extant literature focuses on understanding the factors that might affect consumers' behavior intention to adopt m-shopping; these studies are mostly based on behavioral intention theories, such as Technology Acceptance Model, Diffusion of Innovation and Unified Theory of Acceptance and Use of Technology. In this study, new theoretical constructs are combined with existing evidence in order to extend the Technology Acceptance Model as it was initially established by Davis and later further enriched by other researchers. The proposed model includes behavioral intention, mobile skillfulness, enjoyment, anxiety, perceived usefulness, perceived ease of use, trust, relationship drivers, and innovativeness.According to [62], the volume of m-commerce is growing at 39 percent each year and was estimated to have reached US$31 billion by 2016. The increased mobile phone usage during daily activities, and new areas of mobile integration such as m-Payments, reveals that the connected-consumer is here to stay [28].Mobile devices have reached critical mass, with a majority of consumers, 80% of global consumers in both developed and high-growth economies, now owning a mobile phone. Still a relatively new application, m-Payment usage is gaining traction globally. 47% of the consumers in emerging markets reported using their phones to make in-store payments. In developed markets, 20% of the consumers reported using their phones to make in-store payments and 30% indicated interest. In developed markets, more northern Europeans use m-Payments for transport whereas central and southern Europe uses them more on food / shopping (lifestyle). One-third of ecommerce's business worldwide is transacted via mobile devices, and the number of smartphone and/or tablet users making purchases on their mobile devices will increase significantly in the years ahead [99].With the consumer shift to mobile-first now fully underway, brands and marketers are constantly seeking to better understand consumer mobile preferences, transforming their mobile operating models, strategies and processes, while answering consumer demand for more personalized and contextually-relevant experiences, as well as instant access to products and services. When in stores, mobile shoppers tend to scan product barcodes and read reviews more often than computer-based shoppers and therefore "require different sales,...

show abstract

“…M-shopping is defined by many authors as a subsidiary of m-commerce: the online purchase of products or services using a smartphone [7][8][9][10][11][12][13]. However, for the purpose of this research, we use a wider definition of m-shopping, which includes browsing, searching, purchasing, and comparing products using smartphones [5,[14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Key Factors for In‐Store Smartphone Use in an Omnichannel Experience: Millennials vs. Nonmillennials

et al. 2018

View full text Add to dashboard Cite

The in-store use of smartphones is revolutionizing the customer journey and has the potential to become an important driver in the omnichannel context. This paper aims at identifying the key factors that influence customers' intentions to use smartphones instore and their actual behavior and to test the moderating effect of age, differentiating between millennials and nonmillennials, as millennials are considered digital natives and early adopters of new technologies. We applied the UTAUT2 model to a sample of 1043 Spanish customers, tested it using structural equations, and performed a multigroup analysis to compare the results between the two groups. The results show that the model explains both the behavioral intention to use a smartphone in a brickand-mortar store and use behavior. The UTAUT2 predictors found to be most important were habit, performance expectancy, and hedonic motivation. However, the study shows that the only difference between millennials and nonmillennials with regard to the use of smartphones in-store is the effects of behavioral intention and habit on use behavior. The study adds to the existing knowledge by providing evidence in support of the validity of UTAUT2 as an appropriate theoretical basis to explain effectively behavioral intention, specifically the in-store use of smartphones.

show abstract

Mobile Shoppers: Types, Drivers, and Impediments

Cited by 38 publications

References 54 publications

Tourist behaviour towards self-service hotel technology adoption: Trust and subjective norm as key antecedents

Tourist behaviour towards self-service hotel technology adoption: Trust and subjective norm as key antecedents

Mobile Shopping Consumers’ Behavior: An Exploratory Study and Review

Key Factors for In‐Store Smartphone Use in an Omnichannel Experience: Millennials vs. Nonmillennials

Contact Info

Product

Resources

About

Mobile Shoppers: Types, Drivers, and Impediments

Cited by 38 publications

References 54 publications

Tourist behaviour towards self-service hotel technology adoption: Trust and subjective norm as key antecedents

Tourist behaviour towards self-service hotel technology adoption: Trust and subjective norm as key antecedents

Mobile Shopping Consumers&#8217; Behavior: An Exploratory Study and Review

Key Factors for In‐Store Smartphone Use in an Omnichannel Experience: Millennials vs. Nonmillennials

Contact Info

Product

Resources

About

Mobile Shopping Consumers’ Behavior: An Exploratory Study and Review