The moderating role of device type and age of users on the intention to use mobile shopping applications

Natarajan, Thamaraiselvan; Balasubramanian, Senthil Arasu; Kasilingam, Dharun

doi:10.1016/j.techsoc.2018.01.003

Cited by 140 publications

(138 citation statements)

References 70 publications

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“…For example, the common focus of the vast majority of these studies has been on the customers' intention and adoption of mobile shopping (i.e. Groß, 2018;Marriott et al, 2017;Natarajan et al, 2018). A part of mobile shopping literature has also considered the main outcomes of using mobile shopping on the customers' satisfaction, loyalty, and entertainment (i.e.…”

Section: Literature Reviewmentioning

confidence: 99%

Examining the impact of mobile interactivity on customer engagement in the context of mobile shopping

Alalwan

Algharabat

Baabdullah

et al. 2020

JEIM

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PurposeThis study aims to examine the impact of mobile interactivity dimensions (active control, personalization, ubiquitous connectivity, connectedness, responsiveness and synchronicity) on customer engagement.Design/methodology/approachA quantitative field survey study was conducted to collect the required data from actual users of mobile shopping in three countries: Jordan, the United Kingdom (UK) and Saudi Arabia.FindingsThe results are based on structural equation modelling and support the impact of five dimensions of mobile interactivity: active control, personalization, ubiquitous connectivity, responsiveness and synchronicity. The impact of connectedness is not supported. The results also support the significant impact of customer engagement on customer loyalty.Research limitations/implicationsThis study only considered the shopping activities conducted by mobile channels, while other channels (e.g., online channels, traditional channels and social media shopping channels) are not considered. Furthermore, the current model does not consider the impact of personal factors (e.g., technology readiness, self-efficacy and user experience). The results of the current study present a foundation that can guide marketers and practitioners in the area of mobile shopping.Originality/valueThis study enriches the current understanding of the impact of mobile interactivity on mobile shopping, as well as how mobile interactivity can enhance the level of customer engagement.

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Section: Literature Reviewmentioning

confidence: 99%

Examining the impact of mobile interactivity on customer engagement in the context of mobile shopping

Alalwan

Algharabat

Baabdullah

et al. 2020

JEIM

View full text Add to dashboard Cite

show abstract

“…Previous research has noted that young people integrate smartphones into their daily lives, while older people generally use them for basic functions [45]. Some studies identify a relationship between the age of consumers and the probability that they will use smartphones and mobile technologies during their shopping journeys [45][46][47][48][49][50]. Although many works have studied this influence, there is no consensus on the relationship between the age of consumers and the probability that they will use new technology in their shopping journeys [49].…”

Section: The Moderating Role Of Age: Millennials Vs Nonmillennialsmentioning

confidence: 99%

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

et al. 2018

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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.

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“…This study thoroughly examined all the hypotheses in the 34 articles to identify various dependent and independent variables that researchers employed to examine consumer mobile shopping acceptance. The examination resulted in The psychological or emotional state resulting from a cognitive assessment of the gap between the expectations and the actual performance of an information system [68] Agrebi and Jallais [3], Amoroso [42], Natarajan, Balasubramanian and Kasilingam [47] 12 Social influence…”

Section: Coding Independent and Dependent Variablesmentioning

confidence: 99%

Consumer Mobile Shopping Acceptance Predictors and Linkages: A Systematic Review and Weight Analysis

Tamilmani¹,

Rana²,

Dwivedi³

et al. 2020

Lecture Notes in Computer Science

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Mobile phones have become an integral part of human lives with majority of people using them to access product and services for their day-today needs. However, mobile shopping adoption across the globe is not wide or fast as expected. In addition, the research is very scant in understanding various predictors of consumer adoption towards mobile shopping. The objective of this study is to identify most significant and non-significant predictors of consumer mobile shopping acceptance. Systematic review and weight analysis on 34 mobile shopping studies revealed researchers mostly employed TAM and UTAUT model as theoretical lens. This study found an interesting revelation that extrinsic motivation variables such as social influence and perceived usefulness determine consumer mobile shopping behavioral intention during early stages. However, in later stages intrinsic motivation variables such as satisfaction and trust play crucial role to emerge as best and promising predictor of consumer continuous intention respectively.

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The moderating role of device type and age of users on the intention to use mobile shopping applications

Cited by 140 publications

References 70 publications

Examining the impact of mobile interactivity on customer engagement in the context of mobile shopping

Examining the impact of mobile interactivity on customer engagement in the context of mobile shopping

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

Consumer Mobile Shopping Acceptance Predictors and Linkages: A Systematic Review and Weight Analysis

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