Small Business Growth Characteristics

Boardman, Calvin M.; Bartley, Jon W.; Ratliff, Richard L.

doi:10.1177/104225878100500307

Cited by 31 publications

(19 citation statements)

References 2 publications

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“…Bankruptcy occurs when firms lack sufficient capital to cover the obligations of the business (Boardman et al 1981). For new firms, the critical challenge then is to establish valuable resources and capabilities that lead to the generation of positive cash flow before initial asset endowments are depleted (Levinthal 1991).…”

Section: Introductionmentioning

confidence: 99%

Learning About Failure: Bankruptcy, Firm Age, and the Resource-Based View

Thornhill

Amit

2003

Organization Science

555

358

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Systematic differences in the determinants of firm failure between firms that fail early in their life and those that fail after having successfully negotiated the early liabilities of newness and adolescence are identified. Analysis of data from 339 Canadian corporate bankruptcies suggests that failure among younger firms may be attributable to deficiencies in managerial knowledge and financial management abilities. Failure among older firms, on the other hand, may be attributable to an inability to adapt to environmental change.

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Section: Introductionmentioning

confidence: 99%

Learning About Failure: Bankruptcy, Firm Age, and the Resource-Based View

Thornhill

Amit

2003

Organization Science

555

358

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“…One relevant issue is the definition of 'failure' as used in literature. Many studies define failure as actual filing for bankruptcy or liquidation (Altman, 1968;Blum, 1974;Boardman et al, 1981;Castagna and Matolcsy, 1981). Others define it as suffering financial stress or an inability to pay financial obligations (Beaver, 1966;Chen and Lee, 1993).…”

Section: Literature Reviewmentioning

confidence: 99%

A new non-parametric classifier to predict small-business failures in Italy via performance ratios

Donato

Nieddu

2018

IJIDS

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We considered the case of small-medium enterprises (SMEs) in Italy introducing a new classifier to predict bankruptcy up to eight years prior to failure. We considered a stratified random sample of 100 non-listed Italian SMEs, 50 of which filed for bankruptcy during the years 2000 to 2011. Results suggest that the proposed method more than holds its own when compared with standard non-parametric classification techniques. The performance of the proposed method based on recognition rate, sensitivity and specificity shows that the proposed technique is effective in predicting the failure of a firm up to eight years prior to the event. The high specificity makes the proposed technique very effective as a warning signal to determine if a firm is in distress with a sufficient enough time to take proper actions. The performance assessment has been achieved via cross-validation to get unbiased estimates of the performances.

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“…Many indicators to evaluate and measure business growth performance, such as business revenue growth, number of employees growth, profits growth, market share growth, etc. (Boardman et al 1981 [3] ; Konings, 1997 [23] ; 2002 [25] ; Grilli et al 2009 [8] ; Hsu et al 2009 [21] ). Financial growth is affected by many factors, innovation capability of enterprise plays an important role in its growth (Penrose, 1959 [32] ); firm size, the quality of managers and corporate business strategies are also crucial factors for SMEs financial growth.…”

Section: Literature Reviewmentioning

confidence: 99%

The Impact of Government R&D Support on SMEs Financial Growth: Evidence from China

Peng¹,

Yu²

2013

IJEFM

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This paper investigates the impact of government R&D support on financial growth of SMEs, and analyzes the significant different supportive effect for the enterprises with different nature of control rights. We take 516 listed companies from the SMEs' board on Shenzhen stock market as sample, using the data from 2006 to 2011 and implementing the method of Propensity Score Matching to relieve the sample selection bias. The empirical results indicate that: On the whole, government R&D support can effectively improve the financial growth of SMEs, and demonstrates an 1-2 year-lagged-effect; the property of enterprises' ultimate controller also has extraordinary impact on R&D supportive effect, financial growth of non-state-holding companies which have accepted R&D support will turn out to be more significant improvement, while that of the state-controlled enterprises have not been significantly enhanced in the short-term, or even fared-worse than the matched samples.

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Small Business Growth Characteristics

Cited by 31 publications

References 2 publications

Learning About Failure: Bankruptcy, Firm Age, and the Resource-Based View

Learning About Failure: Bankruptcy, Firm Age, and the Resource-Based View

A new non-parametric classifier to predict small-business failures in Italy via performance ratios

The Impact of Government R&D Support on SMEs Financial Growth: Evidence from China

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