Click here to close now.

Welcome!

Symbian Authors: Jack Newton, Kevin Benedict, Matthew Lobas, Shelly Palmer, RealWire News Distribution

News Feed Item

Online Shopping Habits of Business Executives in Asia-Pacific, 2012-2013

NEW YORK, Nov. 13, 2012 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Online Shopping Habits of Business Executives in Asia-Pacific, 2012-2013

http://www.reportlinker.com/p01026468/Online-Shopping-Habits-of-Business-Executives-in-Asia-Pacific-2012-2013.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=e-Commerce

Product Synopsis

"Online Shopping Habits of Business Executives in Asia-Pacific, 2012-2013" is a new report by Canadean that analyzes business executive trends in online retail and explores how opportunities and demand are set to change in 2012-2013. Furthermore, this report provides a comprehensive overview of online business executive visits and percentage contribution at online retail stores in 2012, including average expenditure at online retail stores. Moreover, the report analyzes the purchasing trends based on business executives buying behavior and also identifies the significance of websites and electronic devices used for online purchases. In addition, this report outlines the key products categories preferred by business executives through mobile shopping. Additionally, the report provides insight into the key factors that help promote online retailing and identifies the most important business executive concerns for purchasing at online stores. This report not only grants access to the opinions and behavior of business executives, but also examines their actions surrounding business priorities. The report also provides access to information categorized by age, gender, and annual income..

Introduction and Landscape

Why was the report written?

Asia-PacificWhat is the current market landscape and what is changing?

US$76What are the key drivers behind recent market changes?

What makes this report unique and essential to read?

Asia-PacificKey Features and Benefits

Reveals the average Asia-Pacific business executives' expenditure per visit to online retail stores.

Uncover key challenges and opportunities in shopping at online retail stores and identify the key actions required to overcome the challenges.

Perceive the significance of planned and impulsive buying behaviors at online retail stores.

Identify key product categories purchased at online retail stores based on their shopping frequency.

Key Market Issues

In total, 77% of Asia-Pacific business executives mostly favor 'multi-brand websites' for online shopping; in addition, 'auction sites' and 'single brand websites' are other popular types, with 49% and 45% using these respectively.

The highest percentage of business executives use a 'desktop computer', 'Laptop or Netbook', or 'mobile phone' to research and purchase a product online.

Business executives identified 'unable to assess the product', 'unsafe personal details', and 'insecure financial transactions' as the critical factors that prevent them from shopping online.

Business executives 'always' verify key attributes such as 'price', 'features', and 'delivery modes' while researching a product online; conversely, 'after-sales service' and 'return policy' are rarely observed.

Key Highlights

The survey reveals that 34% of business executives spend between 'US$21-50' per visit for shopping online, while 31% spend between 'US$51-100' per visit.

In total, 53% of business executives acknowledged that they 'always' prefer 'search engines' as the initial start point for online product research and purchases.

'Food and grocery', 'apparel, accessories and luxury goods', 'books, news and stationery', and 'electrical and electronics' are the principal product categories about which business executives research online at least 'once a week or more'.

Most business executives plan to change their online retailer for purchasing 'health and beauty', 'home and garden products', and 'apparel, accessories and luxury goods'.

Table of Contents

1 Introduction1.1 What is This Report About?1.2 Definitions1.3 Methodology1.4 Profile of Business executives: Asia-Pacific Online Retail Industry2 Executive Summary3 Asia-Pacific Business Executives' Online Retail Trends3.1 Most Popular Retail Channels: Asia-Pacific Business Executives3.1.1 Business executives: most popular retail channels by age3.1.2 Business executives: most popular retail channels by gender3.1.3 Business executives: most popular retail channels by annual income3.2 Online Shopping Frequency among Asia-Pacific Business Executives based on Product Categories3.2.1 Business executives: online shopping frequency based on product categories by gender3.3 Commonly used Payment Facilities by Asia-Pacific Business Executives for Online Shopping3.3.1 Business executives: commonly used payment facilities for online shopping by age3.3.2 Business executives: commonly used payment facilities for online shopping by gender3.3.3 Business executives: commonly used payment facilities for online shopping by annual income4 Asia-Pacific Online Shopping: Business Executives' Expenditure and Purchasing Patterns4.1 Asia-Pacific Business Executives: Percentage Contribution towards Online Shopping4.1.1 Business executives: percentage contribution towards online shopping by age4.1.2 Business executives: percentage contribution towards online shopping by gender4.1.3 Business executives: percentage contribution towards online shopping by annual income4.2 Asia-Pacific Business Executives: Impulsive and Planned Online Purchases4.2.1 Business executives: impulsive and planned online purchases by age4.2.2 Business executives: impulsive and planned online purchases by gender4.2.3 Business executives: impulsive and planned online purchases by annual income4.3 Asia-Pacific Business Executives: Average Expenditure on Online Retail in Asia-Pacific4.3.1 Business executives: average expenditure on online retail in Asia-Pacific by age4.3.2 Business executives: average expenditure on online retail in Asia-Pacific by gender4.3.3 Business executives: average expenditure on online retail in Asia-Pacific by annual income4.3.4 Business executives: shopping frequency at online retail stores vs. average expenditure5 Asia-Pacific Business Executives' Online Shopping: Drivers and Barriers5.1 Asia-Pacific Business Executives: Key Drivers of Demand Growth in Online Retail5.1.1 Business executives: key drivers of demand growth in online retail by age5.1.2 Business executives: key drivers of demand growth in online retail by gender5.1.3 Business executives: key drivers of demand growth in online retail by annual income5.2 Asia-Pacific Business Executives: Influence of Key Drivers in Online Retail5.2.1 Business executives: influence of key drivers in online retail by age5.2.2 Business executives: influence of key drivers in online retail by gender5.2.3 Business executives: influence of key drivers in online retail by annual income5.3 Asia-Pacific Business Executives: Principal Barriers of Online Retail5.3.1 Business executives: principal barriers of online retail by age5.3.2 Business executives: principal barriers of online retail by gender5.3.3 Business executives: principal barriers of online retail by annual income5.4 Asia-Pacific Business Executives: Impact of Key Barriers in Online Retail6 Asia-Pacific Business Executives' Online Retail: Significance of Websites and Electronic Devices6.1 Asia-Pacific Business Executives: Most Popular Websites used for Online Shopping6.1.1 Business executives: most popular websites used for online shopping by age6.1.2 Business executives: most popular websites used for online shopping by gender6.1.3 Business executives: most popular websites used for online shopping by annual income6.1.4 Business executives: most popular websites used for online shopping vs. average expenditure6.2 Asia-Pacific Business Executives: Frequency of Electronic Medium in Online Retail6.2.1 Business executives: frequency of electronic medium in online retail by age6.2.2 Business executives: frequency of electronic medium in online retail by gender6.2.3 Business executives: frequency of electronic medium in online retail by annual income6.3 Asia-Pacific Business Executives: Electronic Devices used for Online Retail6.3.1 Business executives: electronic devices used for online research or purchasing by age6.3.2 Business executives: electronic devices used for online research or purchasing by gender6.3.3 Business executives: electronic devices used for online research or purchasing by annual income6.4 Asia-Pacific Business Executives' Preferred Products through Mobile Shopping6.4.1 Business executives: preferred product categories through mobile shopping by gender7 Research Trends in Asia-Pacific Business Executives' Online Retail7.1 Asia-Pacific Business Executives: Key Attributes of Online Product Research7.1.1 Business executives: key attributes of online product research by age7.1.2 Business executives: key attributes of online product research by gender7.1.3 Business executives: key attributes of online product research by annual income7.2 Asia-Pacific Business Executives: Frequency of Online Research7.3 Asia-Pacific Business Executives: Online Research vs. Purchase7.3.1 Business executives: online research vs. purchase by age7.3.2 Business executives: online research vs. purchase by gender7.3.3 Business executives: online research vs. purchase by annual income7.3.4 Business executives: electronic devices vs. online research or purchasing8 Key Promotional and Marketing Activities for Business Growth: Asia-Pacific Business Executives8.1 Asia-Pacific Business Executives: Change in Online Retailers8.2 Asia-Pacific Business Executives: Effectiveness of Discount Coupons or Vouchers in Online Retail8.2.1 Business executives: effectiveness of discount coupons or vouchers in online retail by age8.2.2 Business executives: effectiveness of discount coupons or vouchers in online retail by gender8.2.3 Business executives: effectiveness of discount coupons or vouchers in online retail by annual income8.3 Asia-Pacific Business Executives: Frequency of Utilizing: 'People who bought this item also bought/related items' Section9 Appendix9.1 Online Shopping Habits of Business Executives in Asia-Pacific-Survey Results9.2 About Canadean9.3 Disclaimer

List of Tables

Table 1: Asia-Pacific Business Executives by Age (%), 2012 Table 2: Asia-Pacific Business Executives by Gender (%), 2012 Table 3: Asia-Pacific Business Executives by Annual Income (%), 2012 Table 4: Most Popular Retail Channels in Asia-Pacific (% Business Executive Respondents), 2012 Table 5: Business Executives: Most Popular Retail Channels in Asia-Pacific by Age (%), 2012 Table 6: Business Executives: Most popular Retail Channels in Asia-Pacific by Gender (%), 2012 Table 7: Business Executives: Most Popular Retail Channels in Asia-Pacific by Annual Income (%), 2012 Table 8: Online Shopping Frequency of Business Executives based on Product Categories in Asia-Pacific (%), 2012 Table 9: Online Shopping Frequency of Business Executives based on Product Categories by Gender (Male) %, 2012 Table 10: Online Shopping Frequency of Business Executives based on Product Categories by Gender (Female) %, 2012 Table 11: Commonly used Payment Facilities by Business Executives in Asia-Pacific for Online Shopping (%), 2012 Table 12: Commonly used Payment Facilities by Business Executives in Asia-Pacific for Online Shopping by Age (%), 2012 Table 13: Commonly used Payment Facilities by Business Executives in Asia-Pacific for Online Shopping by Gender (%), 2012 Table 14: Commonly used Payment Facilities by Business Executives in Asia-Pacific for Online Shopping by Annual Income (%), 2012 Table 15: Percentage Contribution of Business Executives towards Online Shopping in Asia-Pacific (%), 2012 Table 16: Percentage Contribution of Business Executives towards Online Shopping in Asia-Pacific by Age (%), 2012 Table 17: Percentage Contribution of Business Executives towards Online Shopping in Asia-Pacific by Gender (%), 2012 Table 18: Percentage Contribution of Business Executives towards Online Shopping in Asia-Pacific by Annual Income (%), 2012 Table 19: Business Executives: Impulsive and Planned Online Purchases in Asia-Pacific (%), 2012 Table 20: Business Executives: Impulsive and Planned Online Purchases in Asia-Pacific by Age (%), 2012 Table 21: Business Executives: Impulsive and Planned Online Purchases in Asia-Pacific by Gender (%), 2012 Table 22: Business Executives: Impulsive and Planned Online Purchases in Asia-Pacific by Annual Income (%), 2012 Table 23: Business Executives: Average Expenditure on Online Retail in Asia-Pacific (%), 2012 Table 24: Business Executives: Average Expenditure on Online Retail in Asia-Pacific by Age (%), 2012 Table 25: Business Executives: Average Expenditure on Online Retail in Asia-Pacific by Gender (%), 2012 Table 26: Business Executives: Average Expenditure on Online Retail in Asia-Pacific by Annual Income (%), 2012 Table 27: Business Executives: Shopping Frequency at Online Retail Stores vs. Average Expenditure (%), 2012 Table 28: Business Executives: Key Drivers of Demand Growth in Online Retail in Asia-Pacific (%), 2012 Table 29: Business Executives: Key Drivers of Demand Growth in Online Retail in Asia-Pacific by Age (%), 2012 Table 30: Business Executives: Key Drivers of Demand Growth in Online Retail in Asia-Pacific by Gender (%), 2012 Table 31: Business Executives: Key Drivers of Demand Growth in Online Retail in Asia-Pacific by Annual Income (%), 2012 Table 32: Business Executives: Influence of Key Drivers in Online Retail in Asia-Pacific (%), 2012 Table 33: Business Executives: Influence of Key Drivers in Online Retail in Asia-Pacific by Age (%), 2012 Table 34: Business Executives: Influence of Key Drivers in Online Retail in Asia-Pacific by Gender (%), 2012 Table 35: Business Executives: Influence of Key Drivers in Online Retail in Asia-Pacific by Annual Income (%), 2012 Table 36: Business Executives: Principal Barriers of Online Retail in Asia-Pacific (%), 2012 Table 37: Business Executives: Principal Barriers of Online Retail in Asia-Pacific by Age (%), 2012 Table 38: Business Executives: Principal Barriers of Online Retail in Asia-Pacific by Gender (%), 2012 Table 39: Business Executives: Principal Barriers of Online Retail in Asia-Pacific by Annual Income (%), 2012 Table 40: Business Executives: Impact of Key Barriers in Online Retail in Asia-Pacific (%), 2012 Table 41: Business Executives: Most Popular Websites used for Online Shopping in Asia-Pacific (%), 2012 Table 42: Business Executives: Most Popular Websites used for Online Shopping in Asia-Pacific by Age (%), 2012 Table 43: Business Executives: Most Popular Websites used for Online Shopping in Asia-Pacific by Gender (%), 2012 Table 44: Business Executives: Most Popular Websites used for Online Shopping in Asia-Pacific by Annual Income (%), 2012 Table 45: Business Executives: Most Popular Websites used for Online Shopping vs. Average Expenditure (%), 2012 Table 46: Business Executives: Frequency of Electronic Medium in Online Retail in Asia-Pacific (%), 2012 Table 47: Business Executives: Frequency of Electronic Medium in Online Retail in Asia-Pacific by Age (%), 2012 Table 48: Business Executives: Frequency of Electronic Medium in Online Retail in Asia-Pacific by Gender (%), 2012 Table 49: Business Executives: Frequency of Electronic Medium in Online Retail in Asia-Pacific by Annual Income (%), 2012 Table 50: Business Executives: Electronic Devices used for Online Research or Purchasing in Asia-Pacific (%), 2012 Table 51: Business Executives: Electronic Devices used for Online Research in Asia-Pacific (%) by Age, 2012 Table 52: Business Executives: Electronic Devices used for Online Purchasing in Asia-Pacific (%) by Age, 2012 Table 53: Business Executives: Electronic Devices used for Online Research in Asia-Pacific (%) by Gender, 2012 Table 54: Business Executives: Electronic Devices used for Online Purchasing in Asia-Pacific (%) by Gender, 2012 Table 55: Business Executives: Electronic Devices used for Online Research in Asia-Pacific (%) by Annual Income, 2012 Table 56: Business Executives: Electronic Devices used for Online Purchasing in Asia-Pacific (%) by Annual Income, 2012 Table 57: Business Executives: Preferred Product Categories through Mobile Shopping in Asia-Pacific (%), 2012 Table 58: Business Executives: Preferred Product Categories through Smartphones in Asia-Pacific by Gender (%), 2012 Table 59: Business Executives: Preferred Product Categories through Tablet PC in Asia-Pacific by Gender (%), 2012 Table 60: Business Executives: Key Attributes of Online Product Research in Asia-Pacific (%), 2012 Table 61: Business Executives: Key Attributes of Online Product Research in Asia-Pacific by Age (%), 2012 Table 62: Business Executives: Key Attributes of Online Product Research in Asia-Pacific by Gender (%), 2012 Table 63: Business Executives: Key Attributes of Online Product Research in Asia-Pacific by Annual Income (%), 2012 Table 64: Business Executives: Frequency of Online Research in Asia-Pacific (%), 2012 Table 65: Business Executives: Online Research vs. Purchase (%), 2012 Table 66: Business Executives: Online Research vs. Purchase by Age (%), 2012 Table 67: Business Executives: Online Research vs. Purchase by Gender (%), 2012 Table 68: Business Executives: Online Research vs. Purchase by Annual Income (%), 2012 Table 69: Business Executives: Electronic Devices vs. Online research or Purchasing Table 70: Business Executives: Change in Online Retailers in Asia-Pacific (%),2012 Table 71: Business Executives: Effectiveness of Discount Coupons or Vouchers in Online Retail (%),2012 Table 72: Business Executives: Effectiveness of Discount Coupons or Vouchers in Online Retail by Age (%),2012 Table 73: Business Executives: Effectiveness of Discount Coupons or Vouchers in Online Retail by Gender (%),2012 Table 74: Business Executives: Effectiveness of Discount Coupons or Vouchers in Online Retail by Annual Income (%),2012 Table 75: Frequency of Utilizing: 'People who bought this item also bought…/related items' Section (%),2012 Table 76: Survey Results

List of Figures

Figure 1: Most Popular Retail Channels in Asia-Pacific (% Business Executive Respondents), 2012 Figure 2: Business Executives: Most Popular Retail Channels in Asia-Pacific by Age (%), 2012 Figure 3: Business Executives: Most popular Retail Channels in Asia-Pacific by Gender (%), 2012 Figure 4: Business Executives: Most Popular Retail Channels in Asia-Pacific by Annual Income (%), 2012 Figure 5: Online Shopping Frequency of Business Executives based on Product Categories in Asia-Pacific (%), 2012 Figure 6: Online Shopping Frequency of Business Executives based on Product Categories by Gender (Male) %, 2012 Figure 7: Online Shopping Frequency of Business Executives based on Product Categories by Gender (Female) %, 2012 Figure 8: Commonly used Payment Facilities by Business Executives in Asia-Pacific for Online Shopping (%), 2012 Figure 9: Commonly used Payment Facilities by Business Executives in Asia-Pacific for Online Shopping by Age (%), 2012 Figure 10: Commonly used Payment Facilities by Business Executives in Asia-Pacific for Online Shopping by Gender (%), 2012 Figure 11: Commonly used Payment Facilities by Business Executives in Asia-Pacific for Online Shopping by Annual Income (%), 2012 Figure 12: Percentage Contribution of Business Executives towards Online Shopping in Asia-Pacific (%), 2012 Figure 13: Percentage Contribution of Business Executives towards Online Shopping in Asia-Pacific by Age (%), 2012 Figure 14: Percentage Contribution of Business Executives towards Online Shopping in Asia-Pacific by Gender (%), 2012 Figure 15: Percentage Contribution of Business Executives towards Online Shopping in Asia-Pacific by Annual Income (%), 2012 Figure 16: Business Executives: Impulsive and Planned Online Purchases in Asia-Pacific (%), 2012 Figure 17: Business Executives: Impulsive and Planned Online Purchases in Asia-Pacific by Age (%), 2012 Figure 18: Business Executives: Impulsive and Planned Online Purchases in Asia-Pacific by Gender (%), 2012 Figure 19: Business Executives: Impulsive and Planned Online Purchases in Asia-Pacific by Annual Income (%), 2012 Figure 20: Business Executives: Average Expenditure on Online Retail in Asia-Pacific (%), 2012 Figure 21: Business Executives: Average Expenditure on Online Retail in Asia-Pacific by Age (%), 2012 Figure 22: Business Executives: Average Expenditure on Online Retail in Asia-Pacific by Gender (%), 2012 Figure 23: Business Executives: Average Expenditure on Online Retail in Asia-Pacific by Annual Income (%), 2012 Figure 24: Business Executives: Shopping Frequency at Online Retail Stores vs. Average Expenditure (%), 2012 Figure 25: Business Executives: Key Drivers of Demand Growth in Online Retail in Asia-Pacific (%), 2012 Figure 26: Business Executives: Key Drivers of Demand Growth in Online Retail in Asia-Pacific by Age (%), 2012 Figure 27: Business Executives: Key Drivers of Demand Growth in Online Retail in Asia-Pacific by Gender (%), 2012 Figure 28: Business Executives: Key Drivers of Demand Growth in Online Retail in Asia-Pacific by Annual Income (%), 2012 Figure 29: Business Executives: Influence of Key Drivers in Online Retail in Asia-Pacific (%), 2012 Figure 30: Business Executives: Influence of Key Drivers in Online Retail in Asia-Pacific by Age (%), 2012 Figure 31: Business Executives: Influence of Key Drivers in Online Retail in Asia-Pacific by Gender (%), 2012 Figure 32: Business Executives: Influence of Key Drivers in Online Retail in Asia-Pacific by Annual Income (%), 2012 Figure 33: Business Executives: Principal Barriers of Online Retail in Asia-Pacific (%), 2012 Figure 34: Business Executives: Principal Barriers of Online Retail in Asia-Pacific by Age (%), 2012 Figure 35: Business Executives: Principal Barriers of Online Retail in Asia-Pacific by Gender (%), 2012 Figure 36: Business Executives: Principal Barriers of Online Retail in Asia-Pacific by Annual Income (%), 2012 Figure 37: Business Executives: Impact of Key Barriers in Online Retail in Asia-Pacific (%), 2012 Figure 38: Business Executives: Most Popular Websites used for Online Shopping in Asia-Pacific (%), 2012 Figure 39: Business Executives: Most Popular Websites used for Online Shopping in Asia-Pacific by Age (%), 2012 Figure 40: Business Executives: Most Popular Websites used for Online Shopping in Asia-Pacific by Gender (%), 2012 Figure 41: Business Executives: Most Popular Websites used for Online Shopping in Asia-Pacific by Annual Income (%), 2012 Figure 42: Business Executives: Most Popular Websites used for Online Shopping vs. Average Expenditure (%), 2012 Figure 43: Business Executives: Frequency of Electronic Medium in Online Retail in Asia-Pacific (%), 2012 Figure 44: Business Executives: Frequency of Electronic Medium in Online Retail in Asia-Pacific by Age (%), 2012 Figure 45: Business Executives: Frequency of Electronic Medium in Online Retail in Asia-Pacific by Gender (%), 2012 Figure 46: Business Executives: Frequency of Electronic Medium in Online Retail in Asia-Pacific by Annual Income (%), 2012 Figure 47: Business Executives: Electronic Devices used for Online Research or Purchasing in Asia-Pacific (%), 2012 Figure 48: Business Executives: Electronic Devices used for Online Research in Asia-Pacific (%) by Gender, 2012 Figure 49: Business Executives: Electronic Devices used for Online Purchasing in Asia-Pacific (%) by Gender, 2012 Figure 50: Business Executives: Electronic Devices used for Online Purchasing in Asia-Pacific (%) by Annual Income, 2012 Figure 51: Business Executives: Preferred Product Categories through Mobile Shopping in Asia-Pacific (%), 2012 Figure 52: Business Executives: Preferred Product Categories through Smartphones in Asia-Pacific by Gender (%), 2012 Figure 53: Business Executives: Preferred Product Categories through Tablet PC in Asia-Pacific by Gender (%), 2012 Figure 54: Business Executives: Key Attributes of Online Product Research in Asia-Pacific (%), 2012 Figure 55: Business Executives: Key Attributes of Online Product Research in Asia-Pacific by Age (%), 2012 Figure 56: Business Executives: Key Attributes of Online Product Research in Asia-Pacific by Gender (%), 2012 Figure 57: Business Executives: Key Attributes of Online Product Research in Asia-Pacific by Annual Income (%), 2012 Figure 58: Business Executives: Frequency of Online Research in Asia-Pacific (%), 2012 Figure 59: Business Executives: Online Research vs. Purchase (%), 2012 Figure 60: Business Executives: Online Research vs. Purchase by Age (%), 2012 Figure 61: Business Executives: Online Research vs. Purchase by Gender (%), 2012 Figure 62: Business Executives: Online Research vs. Purchase by Annual Income (%), 2012 Figure 63: Business Executives: Electronic Devices vs. Online research or Purchasing Figure 64: Business Executives: Change in Online Retailers in Asia-Pacific (%),2012 Figure 65: Business Executives: Effectiveness of Discount Coupons or Vouchers in Online Retail (%),2012 Figure 66: Business Executives: Effectiveness of Discount Coupons or Vouchers in Online Retail by Age (%),2012 Figure 67: Business Executives: Effectiveness of Discount Coupons or Vouchers in Online Retail by Gender (%),2012 Figure 68: Business Executives: Effectiveness of Discount Coupons or Vouchers in Online Retail by Annual Income (%),2012 Figure 69: Frequency of Utilizing: 'People who bought this item also bought…/related items' Section (%),2012

Companies Mentioned

www.egrocy.com,www. master-resell-rights.com.lk ,www.minidisc.com.au,Labels, The Bombay Store, The Elephant Company, Matahari, Golden Eagle Retail Group, Shoppers Stop, K Raheja Corp Group, www.cheapincoming.com, BigPondshopping,www.taobao.com, www.countryroad.com.au, www.natureshop.co.nz,www.dstore.com, India Internet Marketing Pvt. Ltd, Tata Group, Infiniti Retail, Quiznos India, www.Dinga.com.au, www.valleygreentea.com.au, Paridhanlok Online, Infinity Books Japan, Thailand.com, National Australian Bank, David Jones, IBM, Auto India, www.chinaflower.com.cn, www.pharmacyonline.com.au, Vodaphone, Sony Australia, Gucci, IKEA , Damiani, eBay, OLX, Quikr India Private Limited, Amazon, Flipkart, Research in Motion , HTC, Singapore Telecommunications Ltd, Essar Group , www.tradus.com, Brown Tree , Zara , American Apparel , Rakuten , Google India , Suning , Takashimaya Singapore Ltd , Snap deal , Yebhi.com , Shoebuy.co.nz , LuvClothez.com

To order this report:e-Commerce Industry: Online Shopping Habits of Business Executives in Asia-Pacific, 2012-2013

Contact
Nicolas Bombourg
Reportlinker
Email: [email protected]
US: (805)652-2626
Intl: +1 805-652-2626

 

SOURCE Reportlinker

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

@ThingsExpo Stories
Building low-cost wearable devices can enhance the quality of our lives. In his session at Internet of @ThingsExpo, Sai Yamanoor, Embedded Software Engineer at Altschool, provided an example of putting together a small keychain within a $50 budget that educates the user about the air quality in their surroundings. He also provided examples such as building a wearable device that provides transit or recreational information. He then reviewed the resources available to build wearable devices at home including open source hardware, the raw materials required and the options available to power s...
How do APIs and IoT relate? The answer is not as simple as merely adding an API on top of a dumb device, but rather about understanding the architectural patterns for implementing an IoT fabric. There are typically two or three trends: Exposing the device to a management framework Exposing that management framework to a business centric logic Exposing that business layer and data to end users. This last trend is the IoT stack, which involves a new shift in the separation of what stuff happens, where data lives and where the interface lies. For instance, it's a mix of architectural styles ...
We certainly live in interesting technological times. And no more interesting than the current competing IoT standards for connectivity. Various standards bodies, approaches, and ecosystems are vying for mindshare and positioning for a competitive edge. It is clear that when the dust settles, we will have new protocols, evolved protocols, that will change the way we interact with devices and infrastructure. We will also have evolved web protocols, like HTTP/2, that will be changing the very core of our infrastructures. At the same time, we have old approaches made new again like micro-services...
Connected devices and the Internet of Things are getting significant momentum in 2014. In his session at Internet of @ThingsExpo, Jim Hunter, Chief Scientist & Technology Evangelist at Greenwave Systems, examined three key elements that together will drive mass adoption of the IoT before the end of 2015. The first element is the recent advent of robust open source protocols (like AllJoyn and WebRTC) that facilitate M2M communication. The second is broad availability of flexible, cost-effective storage designed to handle the massive surge in back-end data in a world where timely analytics is e...
Collecting data in the field and configuring multitudes of unique devices is a time-consuming, labor-intensive process that can stretch IT resources. Horan & Bird [H&B], Australia’s fifth-largest Solar Panel Installer, wanted to automate sensor data collection and monitoring from its solar panels and integrate the data with its business and marketing systems. After data was collected and structured, two major areas needed to be addressed: improving developer workflows and extending access to a business application to multiple users (multi-tenancy). Docker, a container technology, was used to ...
The true value of the Internet of Things (IoT) lies not just in the data, but through the services that protect the data, perform the analysis and present findings in a usable way. With many IoT elements rooted in traditional IT components, Big Data and IoT isn’t just a play for enterprise. In fact, the IoT presents SMBs with the prospect of launching entirely new activities and exploring innovative areas. CompTIA research identifies several areas where IoT is expected to have the greatest impact.
The 4th International Internet of @ThingsExpo, co-located with the 17th International Cloud Expo - to be held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA - announces that its Call for Papers is open. The Internet of Things (IoT) is the biggest idea since the creation of the Worldwide Web more than 20 years ago.
The Industrial Internet revolution is now underway, enabled by connected machines and billions of devices that communicate and collaborate. The massive amounts of Big Data requiring real-time analysis is flooding legacy IT systems and giving way to cloud environments that can handle the unpredictable workloads. Yet many barriers remain until we can fully realize the opportunities and benefits from the convergence of machines and devices with Big Data and the cloud, including interoperability, data security and privacy.
The Internet of Things is tied together with a thin strand that is known as time. Coincidentally, at the core of nearly all data analytics is a timestamp. When working with time series data there are a few core principles that everyone should consider, especially across datasets where time is the common boundary. In his session at Internet of @ThingsExpo, Jim Scott, Director of Enterprise Strategy & Architecture at MapR Technologies, discussed single-value, geo-spatial, and log time series data. By focusing on enterprise applications and the data center, he will use OpenTSDB as an example t...
The Internet of Things is not only adding billions of sensors and billions of terabytes to the Internet. It is also forcing a fundamental change in the way we envision Information Technology. For the first time, more data is being created by devices at the edge of the Internet rather than from centralized systems. What does this mean for today's IT professional? In this Power Panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, panelists will addresses this very serious issue of profound change in the industry.
Scott Jenson leads a project called The Physical Web within the Chrome team at Google. Project members are working to take the scalability and openness of the web and use it to talk to the exponentially exploding range of smart devices. Nearly every company today working on the IoT comes up with the same basic solution: use my server and you'll be fine. But if we really believe there will be trillions of these devices, that just can't scale. We need a system that is open a scalable and by using the URL as a basic building block, we open this up and get the same resilience that the web enjoys.
We are reaching the end of the beginning with WebRTC, and real systems using this technology have begun to appear. One challenge that faces every WebRTC deployment (in some form or another) is identity management. For example, if you have an existing service – possibly built on a variety of different PaaS/SaaS offerings – and you want to add real-time communications you are faced with a challenge relating to user management, authentication, authorization, and validation. Service providers will want to use their existing identities, but these will have credentials already that are (hopefully) i...
All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades. With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo, June 9-11, 2015, at the Javits Center in New York City. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be
Container frameworks, such as Docker, provide a variety of benefits, including density of deployment across infrastructure, convenience for application developers to push updates with low operational hand-holding, and a fairly well-defined deployment workflow that can be orchestrated. Container frameworks also enable a DevOps approach to application development by cleanly separating concerns between operations and development teams. But running multi-container, multi-server apps with containers is very hard. You have to learn five new and different technologies and best practices (libswarm, sy...
SYS-CON Events announced today that DragonGlass, an enterprise search platform, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. After eleven years of designing and building custom applications, OpenCrowd has launched DragonGlass, a cloud-based platform that enables the development of search-based applications. These are a new breed of applications that utilize a search index as their backbone for data retrieval. They can easily adapt to new data sets and provide access to both structured and unstruc...
The Internet of Things is a misnomer. That implies that everything is on the Internet, and that simply should not be - especially for things that are blurring the line between medical devices that stimulate like a pacemaker and quantified self-sensors like a pedometer or pulse tracker. The mesh of things that we manage must be segmented into zones of trust for sensing data, transmitting data, receiving command and control administrative changes, and peer-to-peer mesh messaging. In his session at @ThingsExpo, Ryan Bagnulo, Solution Architect / Software Engineer at SOA Software, focused on desi...
An entirely new security model is needed for the Internet of Things, or is it? Can we save some old and tested controls for this new and different environment? In his session at @ThingsExpo, New York's at the Javits Center, Davi Ottenheimer, EMC Senior Director of Trust, reviewed hands-on lessons with IoT devices and reveal a new risk balance you might not expect. Davi Ottenheimer, EMC Senior Director of Trust, has more than nineteen years' experience managing global security operations and assessments, including a decade of leading incident response and digital forensics. He is co-author of t...
SYS-CON Events announced today that MetraTech, now part of Ericsson, has been named “Silver Sponsor” of SYS-CON's 16th International Cloud Expo®, which will take place on June 9–11, 2015, at the Javits Center in New York, NY. Ericsson is the driving force behind the Networked Society- a world leader in communications infrastructure, software and services. Some 40% of the world’s mobile traffic runs through networks Ericsson has supplied, serving more than 2.5 billion subscribers.
While great strides have been made relative to the video aspects of remote collaboration, audio technology has basically stagnated. Typically all audio is mixed to a single monaural stream and emanates from a single point, such as a speakerphone or a speaker associated with a video monitor. This leads to confusion and lack of understanding among participants especially regarding who is actually speaking. Spatial teleconferencing introduces the concept of acoustic spatial separation between conference participants in three dimensional space. This has been shown to significantly improve comprehe...
Buzzword alert: Microservices and IoT at a DevOps conference? What could possibly go wrong? In this Power Panel at DevOps Summit, moderated by Jason Bloomberg, the leading expert on architecting agility for the enterprise and president of Intellyx, panelists will peel away the buzz and discuss the important architectural principles behind implementing IoT solutions for the enterprise. As remote IoT devices and sensors become increasingly intelligent, they become part of our distributed cloud environment, and we must architect and code accordingly. At the very least, you'll have no problem fil...