Author's Keywords: Firm Success, Firm Failure, Performance Prediction, Internet, Working capital, Financial information, Record keeping, Planning, Education, Marketing Efforts, Ordered Probit	Convention All Academic Convention makes running your annual conference simple and cost effective. It is your online solution for abstract management, peer review, and scheduling for your annual meeting or convention. Submission - Custom fields, multiple submission types, tracks, audio visual, multiple upload formats, automatic conversion to pdf. Review - Peer Review, Bulk reviewer assignment, bulk emails, ranking, z-score statistics, and multiple worksheets! Reports - Many standard and custom reports generated while you wait. Print programs with participant indexes, event grids, and more! Scheduling - Flexible and convenient grid scheduling within rooms and buildings. Conflict checking and advanced filtering. Communication - Bulk email tools to help your administrators send reminders and responses. Use form letters, a message center, and much more! Management - Search tools, duplicate people management, editing tools, submission transfers, many tools to manage a variety of conference management headaches! Click here for more information.
Association: Name: BALAS Annual Conference URL: http://http://www.balas.org/
Citation: URL: http://citation.allacademic.com/meta/p300170_index.html Direct Link: HTML Code:

Halabí, Claudia. and Lussier, Robert. "Prediction of new firms performance: some practices that increase the odds of success" Paper presented at the annual meeting of the BALAS Annual Conference, ITESM, Guadalajara, Mexico, Apr 01, 2009 <Not Available>. 2013-05-05 <http://citation.allacademic.com/meta/p300170_index.html>

Halabí, C. E. and Lussier, R. N. , 2009-04-01 "Prediction of new firms performance: some practices that increase the odds of success" Paper presented at the annual meeting of the BALAS Annual Conference, ITESM, Guadalajara, Mexico Online <PDF>. 2013-05-05 from http://citation.allacademic.com/meta/p300170_index.html

Publication Type: Conference Paper/Unpublished Manuscript Review Method: Peer Reviewed Abstract: This study developed an ordered probit model to predict small and medium size enterprise performance in Chile as failed, mediocre, or successful, which is more robust than the commonly used binary probit and logit models. The model variables that explain and predict levels of performance are: use of the Internet, starting with adequate working capital, having good financial and accounting records and controls, using specific plans, having higher levels of education, partners, parents owning a business, and marketing the firm. The model is significant (p = .000) and all the variable coeffients, except education, were significant. The sample includes 403 small businesses classified as: 158 failed, 101 mediocre, and 144 successful firms. The model can benefit both the would be and current entrepreneurs; those who assist, train and advise them; those who provide capital and supplies for their ventures; public policy makers; entrenpeurship and small business educators and researchers. Implications focus on improving success and avoiding failure of small businesses, and public policy recommendations in Chile are discussed.

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