Research and Markets, the largest resource for market research information in world providing essential market research reports, industry research, industry analysis, forecasts, market studies, company profiles and country reports.
Welcome - Register - Login - Help/FAQ - 0 items View Basket
Worlds Largest Market Research Resource - 1516199 Live Reports
Search Research and Markets
  Search
Enter keywords, a title or
a report id number below.





Advanced   
Company search
Register for free email updates of market research
Currency
  Select a currency for use throughout the site



Viewing report

Order by Fax
Ask a Question
Printer Friendly
PDF Brochure
ElectronicAdd to Basket
Live Chat Live Help Software for Website

Mobile Remote Deposit Capture: With Consumer Desire Strong, Smartphone Adoption and Security Key to Financial Institution Appeal

Javelin Strategy & Research, April 2010, Pages: 34


  Description  
   Table of Contents   
   Companies Mentioned   
    
    
     
  Enquire before Buying   
  Send to a Friend   

Mobile remote deposit capture (mobile RDC) is a nascent product that allows consumers to deposit a check using their mobile phones. Most current solutions require a smartphone, which restricts the reach of this service to 18% of U.S. adults, although one offering is an e-mail-based solution open to a wider audience. One in four consumers desire mobile remote deposit capture, and the most optimal solutions will be integrated into smartphone-based offerings. Mobile RDC for consumer accounts can help retain customers, which can decrease processing, acquisition and switching costs. Direct revenue is likely only with business customers, who have an identified strong desire for the solution. Unless a major financial institution offers it in conjunction with mobile banking, mobile RDC will likely continue to remain a niche product offered to select customers by small financial institutions with low branch numbers and large geographical footprints.

Primary Questions:

- Will there be consumer adoption, and by whom?

- What type of financial institution will offer the service?

- Can financial institutions gain revenue or cut costs by offering this service?

- What are the fraud risks of adopting the channel, and how can a financial institution control for them?

- How does mobile remote capture work, and what are the technology constraints?

- Which vendors offer the solution and through what medium?

Methodology

This report is based mainly on data collected online from a random sample panel of 2,779 households in April 2009. The survey targeted respondents based on representative proportions of gender, age and income compared to the overall U.S. online population. Overall margin of sampling error is ±1.86% at the 95% confidence level. This report is also based on data collected online from a random sample panel of 3,000 respondents with mobile phones in July 2009, with a overall margin of sampling error of ±1.79 percentage points at the 95% confidence level.

This report is also based on data collected online from a random sample panel of 5,211 respondents in March 2010, with an overall margin of sampling error of ±1.36 percentage points at the 95% confidence level.

This report is also based on data collected using computer assisted telephone interviewing (CATI) via random digit dialling (RDD) from 5,000 respondents in November 2009. For questions answered by all 5,000 respondents, the maximum margin of sampling error is +/- 1.4% at the 95% confidence level. For questions answered by all 703 identity fraud victims, the maximum margin of sampling error is +/- 3.7% at the 95% confidence level. For questions answered by a proportion of all identity fraud victims, the maximum margin of sampling error varies and is greater than +/- 3.7% at the 95% confidence level.

The majority of Javelin data for online banking financial alerts is based on “online households” vs. “individual consumers.” This is a typical way of presenting online banking data because account management is typically collected on a per household basis. In 2009, the U.S. population was estimated to comprise 306 million people. That includes 232 million adults, 118 million households, and 87 million households that are online. On average, there are about 2.6 people per household. Javelin also collects online banking data using a base of all consumers for comparison purposes.


Product samples

A sample for this product is available. Please Login/Register to download this sample.

Customers who bought this item also bought

2011 Mobile Remote Deposit Capture: Creating a Compelling Business Case for Mobile  Servicing

2011 – 2012 Mobile Banking Vendor Scorecard: Mobile Banking Has Moved from a “Nice-to-Have” to a “Must-Have” Channel

2011 – 2012 Mobile Banking Vendor Scorecard: Mobile Banking Has Moved from a “Nice-to-Have” to a “Must-Have” Channel

2010 Mobile Banking Behaviors: Fewer Handsets in the U.S., yet Smartphone Growth Exceeds Expectations

Online and Mobile Device Identification: Is Your Online Authentication Security Strategy Ready to Go Mobile?

Gen Y: How to Engage and Service the New Mobile Generation

Keeping up with the Android: Segmenting the Smartphone Market vs. iPhone and BlackBerry

2011 Mobile Marketing and Advertising: Top Trends and Targets to Drive Revenues

Second Annual Antivirus, Browser, and Mobile Security Report: Financial Institution's Have ROI Opportunities in Leveraging Demographics

2011 Mobile Banking Financial Institution Scorecard: Money Begins to Move on Mobile



For enquiries please call us on:
  +353-1-415-1241 (GMT Office Hours)
  1-800-526-8630 (US/Canada Toll Free)
  1-917-300-0470 (EST Office Hours)

   All rights reserved. © Copyright 2012 Research and Markets
   Terms and conditions Privacy Policy Publishers Employment Opportunities Site Map Link to us Webmaster Affiliate Network


Research and Markets RSS Feeds