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Global Business Travelers% Online Shopping Habits, 2012-2013

NEW YORK, Nov. 21, 2012 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Global Business Travelers% Online Shopping Habits, 2012-2013

http://www.reportlinker.com/p01045635/Global-Business-Travelers%-Online-...

Product Synopsis

"Global Business Executives' Online Shopping Habits, 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 the 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 product categories preferred by the 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 when purchasing from 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?

What is the current market landscape and what is changing?

US$79What are the key drivers behind recent market changes?

Asia-PacificWhat makes this report unique and essential to read?

Key Features and Benefits

Reveals the average global 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, 90% of North American business executives mostly favor 'multi-brand websites' when online shopping. In addition, 'single brand websites' and 'auction sites' are other popular types with 53% and 42% using these respectively.

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

European business executives identified 'unable to assess the product', 'insecure financial transactions' and 'unprepared to pay delivery costs' as the critical factors that prevent them from shopping online.

Business executives from North America 'always' verify key attributes such as 'price', 'features', 'reviews', and 'special offers', while researching a product online. Conversely, 'delivery modes' and 'return policy' are rarely observed.

Key Highlights

Asia-Pacific

The survey reveals that 35% of European business executives spend between 'US$51-100' per visit when shopping online, while 34% spend between 'US$21-50' per visit.

In total, 42% of North American business executives acknowledged that they 'always' prefer 'search engines' as the initial start point for online product research and purchasing.

'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 from Asia-Pacific research online at least 'once a week or more'.

Most of the European business executives plan to change their online retailer for purchasing 'electrical and electronics', 'sports and leisure' and 'home and garden products'.

Table of Contents

1.1 What is This Report About?

1.2 Definitions

1.3 Methodology

1.4 Profile of Global Business Executives: Online Retail Industry

2 Executive Summary

3 Global Business Executives: Online Retail Trends

3.1 Global Business Executives: Most Popular Retail Channels

3.1.1 Business executives: most popular retail channels by age - Europe

3.1.2 Business executives: most popular retail channels by age - North America

3.1.3 Business executives: most popular retail channels by age - Asia-Pacific

3.1.4 Business executives: most popular retail channels by gender - Europe

3.1.5 Business executives: most popular retail channels by gender - North America

3.1.6 Business executives: most popular retail channels by gender - Asia-Pacific

3.1.7 Business executives: most popular retail channels by annual income - Europe

3.1.8 Business executives: most popular retail channels by annual income - North America

3.1.9 Business executives: most popular retail channels by annual income - Asia-Pacific

3.2 Global Business Executives: Online Shopping Frequency based on Product Categories

3.2.1 Business executives: online shopping frequency based on product categories by gender - Europe

3.2.2 Business executives: online shopping frequency based on product categories by gender - North America

3.2.3 Business executives: online shopping frequency based on product categories by gender - Asia-Pacific

3.3 Global Business Executives: Commonly used Payment Facilities for Online Shopping

3.3.1 Business executives: commonly used payment facilities for online shopping by age - Europe

3.3.2 Business executives: commonly used payment facilities for online shopping by age - North America

3.3.3 Business executives: commonly used payment facilities for online shopping by age - Asia-Pacific

3.3.4 Business executives: commonly used payment facilities for online shopping by gender - Europe

3.3.5 Business executives: commonly used payment facilities for online shopping by gender - North America

3.3.6 Business executives: commonly used payment facilities for online shopping by gender - Asia-Pacific

3.3.7 Business executives: commonly used payment facilities for online shopping by annual income - Europe

3.3.8 Business executives: commonly used payment facilities for online shopping by annual income - North America

3.3.9 Business executives: commonly used payment facilities for online shopping by annual income - Asia-Pacific

4 Global Business Executives: Expenditure and Purchasing Patterns

4.1 Global Business Executives: Percentage Contribution towards Online Shopping

4.1.1 Business executives: percentage contribution towards online shopping by age - Europe

4.1.2 Business executives: percentage contribution towards online shopping by age - North America

4.1.3 Business executives: percentage contribution towards online shopping by age - Asia-Pacific

4.1.4 Business executives: percentage contribution towards online shopping by gender - Europe

4.1.5 Business executives: percentage contribution towards online shopping by gender - North America

4.1.6 Business executives: percentage contribution towards online shopping by gender - Asia-Pacific

4.1.7 Business executives: percentage contribution towards online shopping by annual income - Europe

4.1.8 Business executives: percentage contribution towards online shopping by annual income - North America

4.1.9 Business executives: percentage contribution towards online shopping by annual income - Asia-Pacific

4.2 Global Business Executives: Impulsive and Planned Online Purchases

4.2.1 Business executives: impulsive and planned online purchases by age - Europe

4.2.2 Business executives: impulsive and planned online purchases by age - North America

4.2.3 Business executives: impulsive and planned online purchases by age - Asia-Pacific

4.2.4 Business executives: impulsive and planned online purchases by gender - Europe

4.2.5 Business executives: impulsive and planned online purchases by gender - North America

4.2.6 Business executives: impulsive and planned online purchases by gender - Asia-Pacific

4.2.7 Business executives: impulsive and planned online purchases by annual income - Europe

4.2.8 Business executives: impulsive and planned online purchases by annual income - North America

4.2.9 Business executives: impulsive and planned online purchases by annual income - Asia-Pacific

4.3 Global Business Executives: Average Expenditure on Online Retail

4.3.1 Business executives: average expenditure on online retail by age - Europe

4.3.2 Business executives: average expenditure on online retail by age - North America

4.3.3 Business executives: average expenditure on online retail by age - Asia-Pacific

4.3.4 Business executives: average expenditure on online retail by gender - Europe

4.3.5 Business executives: average expenditure on online retail by gender - North America

4.3.6 Business executives: average expenditure on online retail by gender - Asia-Pacific

4.3.7 Business executives: average expenditure on online retail by annual income - Europe

4.3.8 Business executives: average expenditure on online retail by annual income - North America

4.3.9 Business executives: average expenditure on online retail by annual income - Asia-Pacific

5 Global Business Executives: Drivers and Barriers

5.1 Global Business Executives: Key Drivers of Demand Growth in Online Retail

5.1.1 Business executives: key drivers of demand growth in online retail by age - Europe

5.1.2 Business executives: key drivers of demand growth in online retail by age - North America

5.1.3 Business executives: key drivers of demand growth in online retail by age - Asia-Pacific

5.1.4 Business executives: key drivers of demand growth in online retail by gender - Europe

5.1.5 Business executives: key drivers of demand growth in online retail by gender - North America

5.1.6 Business executives: key drivers of demand growth in online retail by gender - Asia-Pacific

5.1.7 Business executives: key drivers of demand growth in online retail by annual income - Europe

5.1.8 Business executives: key drivers of demand growth in online retail by annual income - North America

5.1.9 Business executives: key drivers of demand growth in online retail by annual income - Asia-Pacific

5.2 Global Business Executives: Influence of Key Drivers in Online Retail

5.2.1 Business executives: influence of key drivers in online retail by age - Europe

5.2.2 Business executives: influence of key drivers in online retail by age - North America

5.2.3 Business executives: influence of key drivers in online retail by age - Asia-Pacific

5.2.4 Business executives: influence of key drivers in online retail by gender - Europe

5.2.5 Business executives: influence of key drivers in online retail by gender - North America

5.2.6 Business executives: influence of key drivers in online retail by gender - Asia-Pacific

5.2.7 Business executives: influence of key drivers in online retail by annual income - Europe

5.2.8 Business executives: influence of key drivers in online retail by annual income - North America

5.2.9 Business executives: influence of key drivers in online retail by annual income - Asia-Pacific

5.3 Global Business Executives: Principal Barriers of Online Retail

5.3.1 Business executives: principal barriers of online retail by age - Europe

5.3.2 Business executives: principal barriers of online retail by age - North America

5.3.3 Business executives: principal barriers of online retail by age - Asia-Pacific

5.3.4 Business executives: principal barriers of online retail by gender - Europe

5.3.5 Business executives: principal barriers of online retail by gender - North America

5.3.6 Business executives: principal barriers of online retail by gender - Asia-Pacific

5.3.7 Business executives: principal barriers of online retail by annual income - Europe

5.3.8 Business executives: principal barriers of online retail by annual income - Asia-Pacific

5.4 Global Business Executives: Impact of Key Barriers in Online Retail

6 Global Business Executives: Significance of Websites and Electronic Devices

6.1 Global Business Executives: Most Popular Websites used for Online Shopping

6.1.1 Business executives: most popular websites used for online shopping by age - Europe

6.1.2 Business executives: most popular websites used for online shopping by age - North America

6.1.3 Business executives: most popular websites used for online shopping by age - Asia-Pacific

6.1.4 Business executives: most popular websites used for online shopping by gender - Europe

6.1.5 Business executives: most popular websites used for online shopping by gender - North America

6.1.6 Business executives: most popular websites used for online shopping by gender - Asia-Pacific

6.1.7 Business executives: most popular websites used for online shopping by annual income - Europe

6.1.8 Business executives: most popular websites used for online shopping by annual income - North America

6.1.9 Business executives: most popular websites used for online shopping by annual income - Asia-Pacific

6.2 Global Business Executives: Frequency of Electronic Medium in Online Retail

6.2.1 Business executives: frequency of electronic medium in online retail by age - Europe

6.2.2 Business executives: frequency of electronic medium in online retail by age - North America

6.2.3 Business executives: frequency of electronic medium in online retail by age - Asia-Pacific

6.2.4 Business executives: frequency of electronic medium in online retail by gender - Europe

6.2.5 Business executives: frequency of electronic medium in online retail by gender - North America

6.2.6 Business executives: frequency of electronic medium in online retail by gender - Asia-Pacific

6.2.7 Business executives: frequency of electronic medium in online retail by annual income - Europe

6.2.8 Business executives: frequency of electronic medium in online retail by annual income - North America

6.2.9 Business executives: frequency of electronic medium in online retail by annual income - Asia-Pacific

6.3 Global Business Executives: Electronic Devices used for Online Retail

6.3.1 Business executives: electronic devices used for online research or purchasing by age - Europe

6.3.2 Business executives: electronic devices used for online research or purchasing by age - North America

6.3.3 Business executives: electronic devices used for online research or purchasing by age - Asia-Pacific

6.3.4 Business executives: electronic devices used for online research or purchasing by gender - Europe

6.3.5 Business executives: electronic devices used for online research or purchasing by gender - North America

6.3.6 Business executives: electronic devices used for online research or purchasing by gender - Asia-Pacific

6.3.7 Business executives: electronic devices used for online research or purchasing by annual income - Europe

6.3.8 Business executives: electronic devices used for online research or purchasing by annual income - North America

6.3.9 Business executives: electronic devices used for online research or purchasing by annual income - Asia Pacific

6.4 Global Business Executives: Preferred Products through Mobile Shopping

6.4.1 Business executives: preferred product categories through mobile shopping by age - Europe

6.4.2 Business executives: preferred product categories through mobile shopping by gender - Europe

6.4.3 Business executives: preferred product categories through mobile shopping by gender - North America

6.4.4 Business executives: preferred product categories through mobile shopping by gender - Asia-Pacific

7 Global Business Executives: Research Trends in Online Retail

7.1 Global Business Executives: Key Attributes of Online Product Research

7.1.1 Business executives: key attributes of online product research by age - Europe

7.1.2 Business executives: key attributes of online product research by age - North America

7.1.3 Business executives: key attributes of online product research by age - Asia-Pacific

7.1.4 Business executives: key attributes of online product research by gender - Europe

7.1.5 Business executives: key attributes of online product research by gender - North America

7.1.6 Business executives: key attributes of online product research by gender - Asia-Pacific

7.1.7 Business executives: key attributes of online product research by annual income - Europe

7.1.8 Business executives: key attributes of online product research by annual income - North America

7.1.9 Business executives: key attributes of online product research by annual income - Asia-Pacific

7.2 Global Business Executives: Frequency of Online Research

7.2.1 Business executives: frequency of online research by gender - North America

7.3 Global Business Executives: Online Research vs. Purchase

7.3.1 Business executives: online research vs. purchase by age - Europe

7.3.2 Business executives: online research vs. purchase by age - North America

7.3.3 Business executives: online research vs. purchase by age - Asia-Pacific

7.3.4 Business executives: online research vs. purchase by gender - Europe

7.3.5 Business executives: online research vs. purchase by gender - North America

7.3.6 Business executives: online research vs. purchase by gender - Asia-Pacific

7.3.7 Business executives: online research vs. purchase by annual income - Europe

7.3.8 Business executives: online research vs. purchase by annual income - North America

7.3.9 Business executives: online research vs. purchase by annual income - Asia-Pacific

8 Global Business Executives: Key Promotional and Marketing Activities for Business Growth

8.1 Global Business Executives: Change in Online Retailers

8.2 Global Business Executives: Effectiveness of Discount Coupons or Vouchers in Online Retail

8.2.1 Business executives: effectiveness of discount coupons or vouchers in online retail by age - Europe

8.2.2 Business executives: effectiveness of discount coupons or vouchers in online retail by age - North America

8.2.3 Business executives: effectiveness of discount coupons or vouchers in online retail by age - Asia-Pacific

8.2.4 Business executives: effectiveness of discount coupons or vouchers in online retail by gender - Europe

8.2.5 Business executives: effectiveness of discount coupons or vouchers in online retail by gender - North America

8.2.6 Business executives: effectiveness of discount coupons or vouchers in online retail by gender - Asia-Pacific

8.2.7 Business executives: effectiveness of discount coupons or vouchers in online retail by annual income - Europe

8.2.8 Business executives: effectiveness of discount coupons or vouchers in online retail by annual income - North America

8.2.9 Business executives: effectiveness of discount coupons or vouchers in online retail by annual income - Asia-Pacific

8.3 Frequency of Utilizing: 'People who bought this item also bought/related items' Section

9 Appendix

9.1 About Canadean

9.2 Disclaimer

List of Tables

Table 2: European Business Executives by Gender (%), 2012

Table 3: European Business Executives by Annual Income (%), 2012

Table 4: North American Business Executives by Age (%), 2012

Table 5: North American Business Executives by Gender (%), 2012

Table 6: North American Business Executives by Annual Income (%), 2012

Table 7: Asia-Pacific Business Executives by Age (%), 2012

Table 8: Asia-Pacific Business Executives by Gender (%), 2012

Table 9: Asia-Pacific Business Executives by Annual Income (%), 2012

Table 10: Most Popular Retail Channels in Asia-Pacific (% Business Executive Respondents), 2012

Table 11: Business Executives: Most Popular Retail Channels in Europe by Age (%), 2012

Table 12: Business Executives: Most Popular Retail Channels in North America by Age (%), 2012

Table 13: Business Executives: Most Popular Retail Channels in Asia-Pacific by Age (%), 2012

Table 14: Business Executives: Most Popular Retail Channels in Europe by Gender (%), 2012

Table 15: Business Executives: Most Popular Retail Channels in North America by Gender (%), 2012

Table 16: Business Executives: Most popular Retail Channels in Asia-Pacific by Gender (%), 2012

Table 17: Business Executives: Most Popular Retail Channels in Europe by Annual Income (%), 2012

Table 18: Business Executives: Popular Retail Channels in North America by Annual Income (%), 2012

Table 19: Business Executives: Most Popular Retail Channels in Asia-Pacific by Annual Income (%), 2012

Table 20: Online Shopping Frequency of Business Executives based on Product Categories in Europe (%), 2012

Table 21: Online Shopping Frequency of Business Executives in North America based on Product Categories (%), 2012

Table 22: Online Shopping Frequency of Business Executives based on Product Categories in Asia-Pacific (%), 2012

Table 23: Online Shopping Frequency of Business Executives based on Product Categories by Gender (Male) %, 2012

Table 24: Online Shopping Frequency of Business Executives based on Product Categories by Gender (Female) %, 2012

Table 25: Online Shopping Frequency of Business Executives based on Product Categories by Gender (Male) %, 2012

Table 26: Online Shopping Frequency of Business Executives based on Product Categories by Gender (Female) %, 2012

Table 27: Online Shopping Frequency of Business Executives based on Product Categories by Gender (Male) %, 2012

Table 28: Online Shopping Frequency of Business Executives based on Product Categories by Gender (Female) %, 2012

Table 29: Commonly used Payment Facilities by Business Executives in Europe for Online Shopping (%), 2012

Table 30: Commonly used Payment Facilities by Business Executives in North America for Online Shopping (%), 2012

Table 31: Commonly used Payment Facilities by Business Executives in Asia-Pacific for Online Shopping (%), 2012

Table 32: Commonly used Payment Facilities by Business Executives in Europe for Online Shopping by Age (%), 2012

Table 33: Commonly used Payment Facilities by Business Executives in North America for Online Shopping by Age (%), 2012

Table 34: Commonly used Payment Facilities by Business Executives in Asia-Pacific for Online Shopping by Age (%), 2012

Table 35: Commonly used Payment Facilities by Business Executives in Europe for Online Shopping by Gender (%), 2012

Table 36: Commonly used Payment Facilities by Business Executives in North America for Online Shopping by Gender (%), 2012

Table 37: Commonly used Payment Facilities by Business Executives in Asia-Pacific for Online Shopping by Gender (%), 2012

Table 38: Commonly used Payment Facilities by Business Executives in Europe for Online Shopping by Annual Income (%), 2012

Table 39: Commonly used Payment Facilities by Business Executives in North America for Online Shopping by Annual Income (%), 2012

Table 40: Commonly used Payment Facilities by Business Executives in Asia-Pacific for Online Shopping by Annual Income (%), 2012

Table 41: Percentage Contribution of Business Executives towards Online Shopping in Europe (%), 2012

Table 42: Percentage Contribution of Business Executives towards Online Shopping in North America (%), 2012

Table 43: Percentage Contribution of Business Executives towards Online Shopping in Asia-Pacific (%), 2012

Table 44: Percentage Contribution of Business Executives towards Online Shopping in Europe by Age (%), 2012

Table 45: Percentage Contribution of Business Executives towards Online Shopping in North America by Age (%), 2012

Table 46: Percentage Contribution of Business Executives towards Online Shopping in Asia-Pacific by Age (%), 2012

Table 47: Percentage Contribution of Business Executives towards Online Shopping in Europe by Gender (%), 2012

Table 48: Percentage Contribution of Business Executives towards Online Shopping in North America by Gender (%), 2012

Table 49: Percentage Contribution of Business Executives towards Online Shopping in Asia-Pacific by Gender (%), 2012

Table 50: Percentage Contribution of Business Executives towards Online Shopping in Europe by Annual Income (%), 2012

Table 51: Percentage Contribution of Business Executives towards Online Shopping in North America by Annual Income (%), 2012

Table 52: Percentage Contribution of Business Executives towards Online Shopping in Asia-Pacific by Annual Income (%), 2012

Table 53: Business Executives: Impulsive and Planned Online Purchases in Europe (%), 2012

Table 54: Business Executives: Impulsive and Planned Online Purchases in North America (%), 2012

Table 55: Business Executives: Impulsive and Planned Online Purchases in Asia-Pacific (%), 2012

Table 56: Business Executives: Impulsive and Planned Online Purchases in Europe by Age (%), 2012

Table 57: Business Executives: Impulsive and Planned Online Purchases in North America by Age (%), 2012

Table 58: Business Executives: Impulsive and Planned Online Purchases in Asia-Pacific by Age (%), 2012

Table 59: Business Executives: Impulsive and Planned Online Purchases in North America by Gender (%), 2012

Table 60: Business Executives: Impulsive and Planned Online Purchases in Asia-Pacific by Gender (%), 2012

Table 61: Business Executives: Impulsive and Planned Online Purchases in Europe by Annual Income (%), 2012

Table 62: Business Executives: Impulsive and Planned Online Purchases in North America by Annual Income (%), 2012

Table 63: Business Executives: Impulsive and Planned Online Purchases in Asia-Pacific by Annual Income (%), 2012

Table 64: Business Executives: Average Expenditure on Online Retail in Europe (%), 2012

Table 65: Business Executives: Average Expenditure on Online Retail in North America (%), 2012

Table 66: Business Executives: Average Expenditure on Online Retail in Asia-Pacific (%), 2012

Table 67: Business Executives: Average Expenditure on Online Retail in North America by Age (%), 2012

Table 68: Business Executives: Average Expenditure on Online Retail in Asia-Pacific by Age (%), 2012

Table 69: Business Executives: Average Expenditure on Online Retail in Europe by Gender (%), 2012

Table 70: Business Executives: Average Expenditure on Online Retail in North America by Gender (%), 2012

Table 71: Business Executives: Average Expenditure on Online Retail in Asia-Pacific by Gender (%), 2012

Table 72: Business Executives: Average Expenditure on Online Retail in Europe by Annual Income (%), 2012

Table 73: Business Executives: Average Expenditure on Online Retail in North America by Annual Income (%), 2012

Table 74: Business Executives: Average Expenditure on Online Retail in Asia-Pacific by Annual Income (%), 2012

Table 75: Business Executives: Key Drivers of Demand Growth in Online Retail in Europe (%), 2012

Table 76: North American Business Executives: Key Drivers of Demand Growth in Online Retail (%), 2012

Table 77: Business Executives: Key Drivers of Demand Growth in Online Retail in Asia-Pacific (%), 2012

Table 78: Business Executives: Key Drivers of Demand Growth in Online Retail in Europe by Age (%), 2012

Table 79: Business Executives: Key Drivers of Demand Growth in Online Retail in Asia-Pacific by Age (%), 2012

Table 80: Business Executives: Key Drivers of Demand Growth in Online Retail in Europe by Gender (%), 2012

Table 81: North American Business Executives: Key Drivers of Demand Growth in Online Retail by Gender (%), 2012

Table 82: Business Executives: Key Drivers of Demand Growth in Online Retail in Asia-Pacific by Gender (%), 2012

Table 83: Business Executives: Key Drivers of Demand Growth in Online Retail in Asia-Pacific by Annual Income (%), 2012

Table 84: Business Executives: Influence of Key Drivers in Online Retail in Europe (%), 2012

Table 85: Business Executives: Influence of Key Drivers in Online Retail in North America (%), 2012

Table 86: Business Executives: Influence of Key Drivers in Online Retail in Asia-Pacific (%), 2012

Table 87: Business Executives: Influence of Key Drivers in Online Retail in Asia-Pacific by Age (%), 2012

Table 88: Business Executives: Influence of Key Drivers in Online Retail in Europe by Gender (%), 2012

Table 89: Business Executives: Influence of Key Drivers in Online Retail in North America by Gender (%), 2012

Table 90: Business Executives: Influence of Key Drivers in Online Retail in Asia-Pacific by Gender (%), 2012

Table 91: Business Executives: Influence of Key Drivers in Online Retail in Europe by Annual Income (%), 2012

Table 92: Business Executives: Influence of Key Drivers in Online Retail in North America by Annual Income (%), 2012

Table 93: Business Executives: Influence of Key Drivers in Online Retail in Asia-Pacific by Annual Income (%), 2012

Table 94: Business Executives: Principal Barriers of Online Retail in Europe (%), 2012

Table 95: Business Executives: Principal Barriers of Online Retail in North America (%), 2012

Table 96: Business Executives: Principal Barriers of Online Retail in Asia-Pacific (%), 2012

Table 97: Business Executives: Principal Barriers of Online Retail in Asia-Pacific by Age (%), 2012

Table 98: Business Executives: Principal Barriers of Online Retail in Europe by Gender (%), 2012

Table 99: Business Executives: Principal Barriers of Online Retail in North America by Gender (%), 2012

Table 100: Business Executives: Principal Barriers of Online Retail in Asia-Pacific by Gender (%), 2012

Table 101: Business Executives: Principal Barriers of Online Retail in Europe by Annual Income (%), 2012

Table 102: Business Executives: Principal Barriers of Online Retail in Asia-Pacific by Annual Income (%), 2012

Table 103: Business Executives: Impact of Key Barriers in Online Retail in Europe (%), 2012

Table 104: Business Executives: Impact of Key Barriers in Online Retail in North America (%), 2012

Table 105: Business Executives: Impact of Key Barriers in Online Retail in Asia-Pacific (%), 2012

Table 106: Business Executives: Most Popular Websites used for Online Shopping in Europe (%), 2012

Table 107: Business Executives: Most Popular Websites used for Online Shopping in North America (%), 2012

Table 108: Business Executives: Most Popular Websites used for Online Shopping in Asia-Pacific (%), 2012

Table 109: Business Executives: Most Popular Websites used for Online Shopping in Europe by Age (%), 2012

Table 110: Business Executives: Most Popular Websites used for Online Shopping in North America by Age (%), 2012

Table 111: Business Executives: Most Popular Websites used for Online Shopping in Asia-Pacific by Age (%), 2012

Table 112: Business Executives: Most Popular Websites used for Online Shopping in Europe by Gender (%), 2012

Table 113: Business Executives: Most Popular Websites used for Online Shopping in North America by Gender (%), 2012

Table 114: Business Executives: Most Popular Websites used for Online Shopping in Asia-Pacific by Gender (%), 2012

Table 115: Business Executives: Most Popular Websites used for Online Shopping in Asia-Pacific by Annual Income (%), 2012

Table 116: Business Executives: Frequency of Electronic Medium in Online Retail in Europe (%), 2012

Table 117: Business Executives: Frequency of Electronic Medium in Online Retail in North America (%), 2012

Table 118: Business Executives: Frequency of Electronic Medium in Online Retail in Asia-Pacific (%), 2012

Table 119: Business Executives: Frequency of Electronic Medium in Online Retail in Europe by Gender (%), 2012

Table 120: Business Executives: Frequency of Electronic Medium in Online Retail in North America by Gender (%), 2012

Table 121: Business Executives: Frequency of Electronic Medium in Online Retail in Europe by Annual Income (%), 2012

Table 122: Business Executives: Frequency of Electronic Medium in Online Retail in North America by Annual Income (%), 2012

Table 123: Business Executives: Frequency of Electronic Medium in Online Retail in Asia-Pacific by Annual Income (%), 2012

Table 124: Business Executives: Electronic Devices used for Online Research or Purchasing in North America (%), 2012

Table 125: Business Executives: Electronic Devices used for Online Research or Purchasing in Asia-Pacific (%), 2012

Table 126: Business Executives: Electronic Devices used for Online Research in Europe by Age (%), 2012

Table 127: Business Executives: Electronic Devices used for Online Purchasing in Europe by Age (%), 2012

Table 128: Business Executives: Electronic Devices used for Online Research in North America by Age (%), 2012

Table 129: Business Executives: Electronic Devices used for Online Purchasing in North America by Age (%), 2012

Table 130: Business Executives: Electronic Devices used for Online Research in Asia-Pacific (%) by Age, 2012

Table 131: Business Executives: Electronic Devices used for Online Purchasing in Asia-Pacific (%) by Age, 2012

Table 132: Business Executives: Electronic Devices used for Online Research in Europe by Gender (%), 2012

Table 133: Business Executives: Electronic Devices used for Online Purchasing in Europe by Gender (%), 2012

Table 134: Business Executives: Electronic Devices used for Online Research in North America by Gender (%), 2012

Table 135: Business Executives: Electronic Devices used for Online Purchasing in North America by Gender (%), 2012

Table 136: Business Executives: Electronic Devices used for Online Research in Asia-Pacific (%) by Gender, 2012

Table 137: Business Executives: Electronic Devices used for Online Purchasing in Asia-Pacific (%) by Gender, 2012

Table 138: Business Executives: Electronic Devices used for Online Research in Europe by Annual Income (%), 2012

Table 139: Business Executives: Electronic Devices used for Online Purchasing in Europe by Annual Income (%), 2012

Table 140: Business Executives: Electronic Devices used for Online Research in North America by Annual Income (%), 2012

Table 141: Business Executives: Electronic Devices used for Online Purchasing in North America by Annual Income (%), 2012

Table 142: Business Executives: Electronic Devices used for Online Research in Asia-Pacific (%) by Annual Income, 2012

Table 143: Business Executives: Electronic Devices used for Online Purchasing in Asia-Pacific (%) by Annual Income, 2012

Table 144: Business Executives: Preferred Product Categories through Mobile Shopping in Europe (%), 2012

Table 145: Business Executives: Preferred Product Categories through Mobile Shopping in North America (%), 2012

Table 146: Business Executives: Preferred Product Categories through Mobile Shopping in Asia-Pacific (%), 2012

Table 147: Business Executives: Preferred Product Categories through Smart Phones in Europe by Gender (%), 2012

Table 148: Business Executives: Preferred Product Categories through Tablet PC in Europe by Gender (%), 2012

Table 149: Business Executives: Preferred Product Categories through Smart Phone Shopping in North America by Gender (%), 2012

Table 150: Business Executives: Preferred Product Categories through Tablet PC Shopping in North America by Gender (%), 2012

Table 151: Business Executives: Preferred Product Categories through Smartphones in Asia-Pacific by Gender (%), 2012

Table 152: Business Executives: Preferred Product Categories through Tablet PC in Asia-Pacific by Gender (%), 2012

Table 153: Business Executives: Key Attributes of Online Product Research in Europe (%), 2012

Table 154: Business Executives: Key Attributes of Online Product Research in North America (%), 2012

Table 155: Business Executives: Key Attributes of Online Product Research in Asia-Pacific (%), 2012

Table 156: Business Executives: Key Attributes of Online Product Research in Europe by Age (%), 2012

Table 157: Business Executives: Key Attributes of Online Product Research in North America by Age (%), 2012

Table 158: Business Executives: Key Attributes of Online Product Research in Asia-Pacific by Age (%), 2012

Table 159: Business Executives: Key Attributes of Online Product Research in Europe by Gender (%), 2012

Table 160: Business Executives: Key Attributes of Online Product Research in North America by Gender (%), 2012

Table 161: Business Executives: Key Attributes of Online Product Research in Europe by Annual Income (%), 2012

Table 162: Business Executives: Key Attributes of Online Product Research in North America by Annual Income (%), 2012

Table 163: Business Executives: Key Attributes of Online Product Research in Asia-Pacific by Annual Income (%), 2012

Table 164: Business Executives: Frequency of Online Research in Europe (%), 2012

Table 165: Business Executives: Frequency of Online Research in North America (%), 2012

Table 166: Business Executives: Frequency of Online Research in Asia-Pacific (%), 2012

Table 167: Business Executives: Frequency of Online Research in North America by Male (%), 2012

Table 168: Business Executives: Frequency of

To order this report:e-Commerce Industry: Global Business Travelers% Online Shopping Habits, 2012-2013

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@ThingsExpo Stories
The 3rd International Internet of @ThingsExpo, co-located with the 16th International Cloud Expo - to be held June 9-11, 2015, at the Javits Center in New York City, NY - announces that its Call for Papers is now open. The Internet of Things (IoT) is the biggest idea since the creation of the Worldwide Web more than 20 years ago.
Cultural, regulatory, environmental, political and economic (CREPE) conditions over the past decade are creating cross-industry solution spaces that require processes and technologies from both the Internet of Things (IoT), and Data Management and Analytics (DMA). These solution spaces are evolving into Sensor Analytics Ecosystems (SAE) that represent significant new opportunities for organizations of all types. Public Utilities throughout the world, providing electricity, natural gas and water, are pursuing SmartGrid initiatives that represent one of the more mature examples of SAE. We have s...
The security devil is always in the details of the attack: the ones you've endured, the ones you prepare yourself to fend off, and the ones that, you fear, will catch you completely unaware and defenseless. The Internet of Things (IoT) is nothing if not an endless proliferation of details. It's the vision of a world in which continuous Internet connectivity and addressability is embedded into a growing range of human artifacts, into the natural world, and even into our smartphones, appliances, and physical persons. In the IoT vision, every new "thing" - sensor, actuator, data source, data con...
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...
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 ...
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...
The Internet of Things will greatly expand the opportunities for data collection and new business models driven off of that data. In her session at @ThingsExpo, Esmeralda Swartz, CMO of MetraTech, discussed how for this to be effective you not only need to have infrastructure and operational models capable of utilizing this new phenomenon, but increasingly service providers will need to convince a skeptical public to participate. Get ready to show them the money!
The Internet of Things will put IT to its ultimate test by creating infinite new opportunities to digitize products and services, generate and analyze new data to improve customer satisfaction, and discover new ways to gain a competitive advantage across nearly every industry. In order to help corporate business units to capitalize on the rapidly evolving IoT opportunities, IT must stand up to a new set of challenges. In his session at @ThingsExpo, Jeff Kaplan, Managing Director of THINKstrategies, will examine why IT must finally fulfill its role in support of its SBUs or face a new round of...
One of the biggest challenges when developing connected devices is identifying user value and delivering it through successful user experiences. In his session at Internet of @ThingsExpo, Mike Kuniavsky, Principal Scientist, Innovation Services at PARC, described an IoT-specific approach to user experience design that combines approaches from interaction design, industrial design and service design to create experiences that go beyond simple connected gadgets to create lasting, multi-device experiences grounded in people's real needs and desires.
Enthusiasm for the Internet of Things has reached an all-time high. In 2013 alone, venture capitalists spent more than $1 billion dollars investing in the IoT space. With "smart" appliances and devices, IoT covers wearable smart devices, cloud services to hardware companies. Nest, a Google company, detects temperatures inside homes and automatically adjusts it by tracking its user's habit. These technologies are quickly developing and with it come challenges such as bridging infrastructure gaps, abiding by privacy concerns and making the concept a reality. These challenges can't be addressed w...
The Domain Name Service (DNS) is one of the most important components in networking infrastructure, enabling users and services to access applications by translating URLs (names) into IP addresses (numbers). Because every icon and URL and all embedded content on a website requires a DNS lookup loading complex sites necessitates hundreds of DNS queries. In addition, as more internet-enabled ‘Things' get connected, people will rely on DNS to name and find their fridges, toasters and toilets. According to a recent IDG Research Services Survey this rate of traffic will only grow. What's driving t...
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.
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...
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...
"Matrix is an ambitious open standard and implementation that's set up to break down the fragmentation problems that exist in IP messaging and VoIP communication," explained John Woolf, Technical Evangelist at Matrix, in this SYS-CON.tv interview at @ThingsExpo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
P2P RTC will impact the landscape of communications, shifting from traditional telephony style communications models to OTT (Over-The-Top) cloud assisted & PaaS (Platform as a Service) communication services. The P2P shift will impact many areas of our lives, from mobile communication, human interactive web services, RTC and telephony infrastructure, user federation, security and privacy implications, business costs, and scalability. In his session at @ThingsExpo, Robin Raymond, Chief Architect at Hookflash, will walk through the shifting landscape of traditional telephone and voice services ...
Explosive growth in connected devices. Enormous amounts of data for collection and analysis. Critical use of data for split-second decision making and actionable information. All three are factors in making the Internet of Things a reality. Yet, any one factor would have an IT organization pondering its infrastructure strategy. How should your organization enhance its IT framework to enable an Internet of Things implementation? In his session at Internet of @ThingsExpo, James Kirkland, Chief Architect for the Internet of Things and Intelligent Systems at Red Hat, described how to revolutioniz...
Bit6 today issued a challenge to the technology community implementing Web Real Time Communication (WebRTC). To leap beyond WebRTC’s significant limitations and fully leverage its underlying value to accelerate innovation, application developers need to consider the entire communications ecosystem.
The definition of IoT is not new, in fact it’s been around for over a decade. What has changed is the public's awareness that the technology we use on a daily basis has caught up on the vision of an always on, always connected world. If you look into the details of what comprises the IoT, you’ll see that it includes everything from cloud computing, Big Data analytics, “Things,” Web communication, applications, network, storage, etc. It is essentially including everything connected online from hardware to software, or as we like to say, it’s an Internet of many different things. The difference ...
Cloud Expo 2014 TV commercials will feature @ThingsExpo, which was launched in June, 2014 at New York City's Javits Center as the largest 'Internet of Things' event in the world.