An empirical study of consumer switching behaviour towards mobile shopping: a Push-Pull-Mooring model

Lai, Jung‐Yu; Debbarma, Sutapa; Ulhas, Khire Rushikesh

doi:10.1504/ijmc.2012.048137

Cited by 101 publications

(85 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The adoption rates of mobile apps are becoming increasingly critical in the business realm due to ease-of-use, quick access to specialized content and engaging functionality (Jones, 2014).In addition to representing an opportunity for advertising and branding, apps hold potential as a mobile commerce channel (Taylor, Voelker & Pentina 2011). It empowers shoppers with the ability to gather information on the spot from multiple sources, check on product availability, special offers and alter their selection at any point along the path to purchase (Lai, Debbarma & Ulhas 2012). Thus, the consumer shopping modality is quickly and decisively changing from traditional shopping and PC-based online shopping to mobile shopping (Ali et al 2011;Butcher 2011) through various apps.…”

Section: Mobile Commerce and Appsmentioning

confidence: 99%

App Adoption and Switching Behavior: Applying the Extended Tam in Smartphone App Usage

Roy

2017

JISTEM USP

View full text Add to dashboard Cite

The increasing use of mobile applications have been escalating with the increasing use of smartphones. In the present study, we examine (a) the adoption behavior of mobile apps using the extended TAM framework, and (b) whether adoption leads to subsequent use behavior and switching intentions. Based on data collected from two surveys in India we test the conceptual model of extended TAM and the effects of behavior on switching intentions using factor analysis and structural equation modeling. The major findings indicate a significant effect of most predictor variables on the perceived usefulness and perceived ease of use of apps. Further, we found a significant effect of behavioral intention on use behavior and subsequent switching intentions to apps from computers/laptops.

show abstract

Section: Mobile Commerce and Appsmentioning

confidence: 99%

App Adoption and Switching Behavior: Applying the Extended Tam in Smartphone App Usage

Roy

2017

JISTEM USP

View full text Add to dashboard Cite

show abstract

“…An earlier study by Okazaki (2004) found that users are more receptive to pulled mobile communication because it is informative and entertaining, while pushing messages could be perceived as annoying. Similarly a mobile study by Lai et al (2012) points towards users favouring pulling techniques to become involved in mobile shopping. Since push mobile communication is still deemed evasive, unsolicited and even inclined to malicious advertising in some instances of free mobile applications, pulling mobile communication to patrons could be an acceptable alternative.…”

Section: Push Vs Pull Mobile Communicationmentioning

confidence: 99%

Mobile Marketing: Building Blocks for Mobile Content Marketing to Add Value and Relevance for Mobile Users

Plessis

2017

Comm

View full text Add to dashboard Cite

INTRODUCTIONI think the biggest change, and the one we're already starting to see take shape, is that globally the majority of internet usage will be done via a mobile device and for most people the mobile web will be their primary -if not their only -way of experiencing the internet (Rojas, in Adler 2014).This prediction by Peter Rojas, formerly associated with the technology blog Gizmodo and currently with Engadget, became a reality when Google announced in 2015 that more than half of all searches are now done on mobile devices. This development has huge implications for branding in that brand messages might soon be seen mainly by users on a company's mobile website or device (Sterling 2015).

show abstract

“…Zhou (2013) revealed that trust, flow, and perceived usefulness are estimators of mobile purchase intention and contextual offering has significant effects on trust, flow, and perceived usefulness. Lai et al (2012) found that initiators like trust, privacy, and security are significant determinants of starting to use mobile shopping. Kim and Kang (2001) have suggested that in terms of smart shopping, present over busy customers may look for hedonic benefits together with utilitarian aspects.…”

Section: Theoretical Framework and Hypothesesmentioning

confidence: 99%

“…Finally, the antecedents of mobile shopping intentions defined a significant amount of its variance in our research model, but the other external factors that have not been involved in the model may assist to explain mobile shopping intentions. For instance, compatibility and anxiety (Lu and Su, 2009), trust, privacy (Lai et al 2012), risk and uncertainty (Siau et al, 2003) dimensions might better provide the comprehension of mobile shopping intentions from the viewpoint of flow dimension and other external variables. In accordance with these assessments, the results of the current study will be an inspiration to future studies and enable beneficial information for them.…”

Section: Limitations and Future Researchmentioning

confidence: 99%

The Antecedents of Mobile Repurchasing Intentions: An Empirical Investigation among Turkish Mobile Shoppers

Avcilar¹,

Alkevli²

2017

IJBM

View full text Add to dashboard Cite

In today's digital world, consumers have progressively utilized the mobile Internet in their mobile shopping transactions. Mobile retailers are forcing themselves to impact consumers' mobile shopping attitude and behavior by generating new shopping experiences on the purpose of their business life cycle under the threat of destructive competitive factors between retailers operating both in conventional and online stores. Considering the destructive competitive business conditions, it is crucial for mobile retailers to understand mobile shoppers' beliefs, attitudes mobile shopping intentions, and behavior related to mobile shopping. Thus, the aim of this research is to examine an extended Technology Acceptance Model (TAM), Consumer Perceived Value and Flow theory that will ensure eloquent comprehension of making purchases via mobile devices. Indeed, utilitarian and hedonic value, perceived enjoyment and flow dimensions are added into the research model.In data collection phase, convenience sampling method was used and face-to-face interviews methods were exercised. The 400 valid questionnaires were collected from the mobile shoppers who willingly participate with our research in Adana, Turkey. In order to test the research model, we used Partial Least Squares (PLS-PM) analysis method. The study results enable significant support for the proposed research model. Analysis result reveals that perceived ease of use, perceived usefulness, perceived enjoyment, mobile shopping flow experience, mobile shopping attitude, mobile shopping satisfaction, perceived utilitarian value, and hedonic value dimensions positively affect mobile repurchase intentions.

show abstract

An empirical study of consumer switching behaviour towards mobile shopping: a Push-Pull-Mooring model

Cited by 101 publications

References 39 publications

App Adoption and Switching Behavior: Applying the Extended Tam in Smartphone App Usage

App Adoption and Switching Behavior: Applying the Extended Tam in Smartphone App Usage

Mobile Marketing: Building Blocks for Mobile Content Marketing to Add Value and Relevance for Mobile Users

The Antecedents of Mobile Repurchasing Intentions: An Empirical Investigation among Turkish Mobile Shoppers

Contact Info

Product

Resources

About