Determinants of computing in very small businesses

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Prashant Palvia, Joe Rosenthal Excellence Professor and Director of the McDowell Research Center for Global IT Management (Creator)
The University of North Carolina at Greensboro (UNCG )
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Abstract: This article focuses on computing in very small businesses (VSB). We have defined a business to be very small if it has less than 50 employees. They have been ignored in the mainstream MIS literature. However, given that small businesses constitute a significant portion of the U.S. economy and that computers are making widespread inroads into small businesses, a serious investigation is warranted. A model is proposed for computing in VSBs and the parameters are investigated in an empirical study that identifies relationships between business characteristics, individual characteristics, and the degree of computing. On an a priori basis, it is assumed that the most important factors related to VSB computing are: size of the business, age of the business, general education of the owner/manager, the computer knowledge of the owner/ manager, and the profitability of the business. The results generally support the assumptions. The model therefore provides a descriptive understanding of VSB computing; it can also be used in a prescriptive mode to induce desired changes in VSB computing.

Additional Information

Information & Management. Vol 27, 1994, pp. 161-174.
Language: English
Date: 1994
Small business computing, Very small businesses, Discriminant analysis, End user computing

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