Annex Predicting bankruptcy Source: www.bnkruptcyaction.com/bankpred2.htm The above mentioned link provides the software that handles the calculation. The authors claim that this Bankruptcy Predictor has proved to have an accu- racy rate of over 88 percent for small businesses (average asset size US$2.5 mil- lion) and an accuracy rate of over 83 percent for very large businesses (average asset size US$63.4 million). A negative score predicts bankruptcy. Variable Current Assets Interest Expense Profit or loss before taxes Performance level Variable Sales Total Assets Current liabilities Calculate score Performance level The higher the score, the more financially sound is the company. The lower the score, the greater the danger of the company becoming insolvent. This technique should be considered complementary to other tools. The formula used is the "Springate Formula" developed at Simon Fraser University, Burnaby, British Columbia. 171
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Annex
Predicting bankruptcy
Source: www.bnkruptcyaction.com/bankpred2.htm
The above mentioned link provides the software that handles the calculation. The authors claim that this Bankruptcy Predictor has proved to have an accu
racy rate of over 88 percent for small businesses (average asset size US$2.5 million) and an accuracy rate of over 83 percent for very large businesses (average asset size US$63.4 million). A negative score predicts bankruptcy.
Variable
Current Assets
Interest Expense
Profit or loss before taxes
Performance level Variable
Sales
Total Assets
Current liabilities
Calculate score
Performance level
The higher the score, the more financially sound is the company. The lower the score, the greater the danger of the company becoming insolvent. This technique should be considered complementary to other tools. The formula used is the "Springate Formula" developed at Simon Fraser University, Burnaby, British Columbia.
171
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Index
Abu Dhabi, 65, 159 achievement motivation, 130, 131-2
characteristics and attitudes, 114 action program, 23 actualization, 101, 102 Africa, 51, 60, 81 Air France, 60 Al Habtoor Group, 159-60 Al Tomooh and Sheik Moh Ben
Rashid Foundation, 145 Albert, M., 109 Algeria, 83 American venture capital firm, 144 Anglo-Saxon model, 109 Ansoff, 1., 3, 27, 29 Ansoff's growth matrix, 16, 17-18 Anthony, R., 24, 75 Arab entrepreneur, 117
bright side, 129-30: achievement motivation, 131-2; locus of control, 132-3
call it quits, 162-3: performancerelated sign of trouble, 164; personal goal, 163-4; personrelated sign of trouble, 165; reentry, 168; seriousness of issue, 165-6; situation, 168-9
dark side, 129, 130: distrust of environment, 133-4; propensity to enterprise, 134-5
entry barriers: biased business choice, 124; conditions for exit, 125; finance, 125; lack of identity, 124; minority status, 124; motivation, 123; nonguided entry, 124-5; nonguided project choice, 124; regulation, 123-4; understanding and choosing technology, 125
exit barriers: cost, 127; lack of alternatives, 127; restart, 127; social stigma, 127
propensity to enterprise, 119-21 self-employment, 118-19 small business sickness, 121-2:
source, 122; types, 127-8 survival barriers: administrative and
family business, 155 in GCC state: case studies, 158-60;
conglomeration, 161; divergence areas, 157-8; explicit SCA, absence, 162; exploiting opportunities made by national development strategy, 160-1; innovation or R&D, 161; manufacturing or processing, connection with, 161; respect scale, 161-2; response to government strategy, 161; share and management, 156-7
Far East, 60, 90 financial growth objectives, 13-14 Flanagan, M., 64-5 Ford, 74-5, 78, 79 Foreign Direct Investment (FOI), 45,
158-60; conglomeration, 161; divergence areas, 157-8; explicit SCA, absence, 162; exploiting opportunities made by national development strategy, 160-1; innovation or R&D, 161; manufacturing or
Index 179
processing, connection with, 161; respect scale, 161-2; response to government strategy, 161; share and management, 156-7
venture capital in, 139-40: case studies, 144-5; experience, 142-3; growth, 147-8; investor, 140-2; small business finance, 139, 145-6; types, 143-4
Gulf Finance House (GFH), 144
Handy, C. B., 22 Harvey, v., 46 Hill, Charles W. L., 24, 75 Hofstede, G., 130-1, 133, 168 HSBC fund, 145 hyper-competition, 10
ILO (International Labor Organization), 111, 118, 119
India, 70, 72 individualism, 130, 169 industry fitness test, 76-7 infrastructure, 57
in Dubai, 42 in Saudi Arabia, 71 in Singapore, 45
Injazat Technology Fund, 144-5 instability in Middle East, 71 international market
72-3 Pettijohn, T. E, 132 Phang,Sock-Yong,44 planning model
fallacy, 4, 28 Polaroid, 74, 78-9 Porter, M. E., 4, 10,27,41,62, 70 Porters "Diamond Analysis", 27, 41,
42 potential fitness test, 76 power distance, 130, 169 power of buyers, 63 power of suppliers, 62 predetermination, 4, 28 private equity finance, see venture
capital privatization, 83, 84
in Egypt, 86-7: external orientation parameters, 87-8; public enterprises, competitiveness, 88: strategic choice, 88-9
in Saudi Arabia, 92: external orientation parameters, 92-3: public enterprises, competitiveness, 93-4; strategic choice, 94-5
privatization - continued strategic options matrix, 85-6 in Syria, 89-90: external orientation
parameters, 90; public enterprises, competitiveness, 91; strategic choice, 91-2