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Center for Research in Electronic Commerce (CREC)

McCombs School of Business, The University of Texas at Austin

http://crec.bus.utexas.edu







E-business Value Assessment



Dr. Anitesh Barua Dr. Prabhudev Konana

E-mail: barua@mail.utexas.edu E-mail: pkonana@mail.utexas.edu

Phone: 512-471-7895 Phone: 512-471-5219



Dr. Andrew Whinston Fang Yin

E-mail: abw@uts.cc.utexas.edu E-mail: Fyin@mail.utexas.edu

Phone: 512-471-8879 Phone: 512-471-7962





Study sponsored by DELL Computer Corporation

Productivity Paradox



“We see computers everywhere except

in the productivity statistics.”



-- Nobel Laureate Robert Solow









ⒸCopyright Barua, Konana, Whinston and Yin 2000, CREC The University of Texas at Austin

Motivation behind the study

 Internet economy is about the transformation of traditional

businesses to e-business, and just not a dot com revolution.



 Confusion regarding the true potential of the Internet economy.



 The Internet economy is big, but how good is it?



 Are e-business initiatives paying off? If “yes” where and how? If “no”

why not?

 Wide range of sizes



 Industry sectors: manufacturing, retailers, wholesalers and

distributors.



 Ongoing research activity of CREC since late 1980s

ⒸCopyright Barua, Konana, Whinston and Yin 2000, CREC The University of Texas at Austin

Measuring E-business Value

 E-business success measured ultimately by financial

performance

 To see financial benefits (e.g., increase revenue per employee),

choose measures of operational excellence (e.g., % of

customers doing business online, % online procurement)

 To achieve operational excellence, invest in e-business drivers

(e.g., online IT capabilities for customers and suppliers), and e-

business processes.

 Synergistic investments in e-business technology coupled with

restructuring of processes that emphasize online interaction with

customers and suppliers, and developing online support for

customer and suppliers relationship management.



ⒸCopyright Barua, Konana, Whinston and Yin 2000, CREC The University of Texas at Austin

A Model of E-Business Value

Revenue/employee, Financial

Gross Profit Margin, Measures

Return on Assets, etc.





% Online Business,

% Online Procurement,

Operational

% Customer Service Provided Online Excellence

Order Delivery Time, etc. Measures





IT E-Business

Processes

Applications Readiness E-Business

Drivers

Customers Customers Customers

Suppliers Suppliers Suppliers

Internal Internal

ⒸCopyright Barua, Konana, Whinston and Yin 2000, CREC The University of Texas at Austin

Data collection

 A 74-item questionnaire developed by CREC researchers

 Over 4500 U.S. and European firms contacted by MarketVision Research.

 Approximately 1200 firms responded to the survey





Employee Distribution Industry Respondents





9%

31% 11%

45%







59%

10% 35%







Retailers Manufacturers Distributors Wholesalers

Less than 100 Between 101 and 400 More than 400



ⒸCopyright Barua, Konana, Whinston and Yin 2000, CREC The University of Texas at Austin

Highlights

 Firms that have observed increase in financial performance have

significantly better operational excellence performance (e.g., % existing

customer doing business online, % online procurement) and higher-levels

of investments in e-business drivers (e.g., integration of Web and back-

office systems).

 Smaller firms observe much higher percentage gains in financial

performance with e-business relative to larger firms.

 There is significant potential to gain efficiencies with online supplier

relationships.

 Firms have not leveraged the power of online product customization.

 Firms need to invest in increasing the e-business readiness of customers

and suppliers.

 Firms must redesign their customer and supplier processes for e-

business transformation.

ⒸCopyright Barua, Konana, Whinston and Yin 2000, CREC The University of Texas at Austin

How can a firm achieve high levels of financial

benefits in e-business? (Table 1)

 Comparison of driver levels of firms reporting increase in financial

performance with firms reporting no financial gains

Revenue per Gross

E-business drivers ROA ROIC

Employee Margin

System integration *

Customer Orientation of IT (Informational) *** *** *** ***

Supplier Orientation of IT (quality)

Supplier Orientation of IT (supply-continuity) * ** **

Supplier Orientation of IT (relationship) *** *** *** ***

Internal Orientation of IT *

Supplier Processes * *

Customer Processes *** *** *** ***

Supplier E-business Readiness * *

Customer E-business Readiness *** *** *** ***



*  significant at 10%; **  significant at 5%; ***  significant at = $10

with revenue 50%





% of firms procuring MRO items online 34% 41% 16% 9%



% of firms procuring production goods 42% 31% 20% 14%

online









ⒸCopyright Barua, Konana, Whinston and Yin 2000, CREC The University of Texas at Austin

More information

 Academic details of this study will be presented at Multichannel Conference

on Productivity and the Internet Economy, Austin, November 2-3, 2000.

Details available at http://www.internetproductivity.org/



 Copies of other productivity-related papers available at

http://crec.bus.utexas.edu



 Value and Productivity in the Internet Economy (in IEEE Computer, May 2000) by

Anitesh Barua, Andrew B. Whinston, and Fang Yin.

(http://crec.bus.utexas.edu/works/articles/IEEE_Computer.pdf)



 Not all Dot Coms are Created Equal: An Exploratory Investigation of the

Productivity of Internet Based Companies by Anitesh Barua, Andrew B. Whinston,

and Fang Yin. (http://crec.bus.utexas.edu/works/articles/digital.pdf)







ⒸCopyright Barua, Konana, Whinston and Yin 2000, CREC The University of Texas at Austin


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