recommended business model: understand - know about the organisation i.e. business environment and problem definitions. Model Form - set of equations based on basic understanding already achieved. Model structure - put values and parameters in
1 of 11
Powell et al 2008
types of error, impacts of error and frequency of errors
2 of 11
Galetta et al 1993
domain errors (error in application area i.e. understanding depreciation) and device errors (error in actual spreadsheet technology i.e. wrong reference)
3 of 11
Saarliouma and Sajaniemi 1994
location errors (conceptually correct formula but wrong referencing) and formula errors (misuse of operators)
4 of 11
Panko and Anderson 1996
qualitative errors - dont lead to incorrect numbers but risk practice (parameters in formula) and quantitative - omission (misunderstanding situation), logic (wrong function chosen) and mechanical (typing mistake)
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Flack and Lynn
frequ. 64% companies rely on SSl high operating risk especially with penalties for poor control (hard to audit, output not integrated with sources, non-standard output and doesnt comply with SOX)
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Randles
frequ. ** displays results but gives no context of data, 40-80% of ** have errors, developers miss over 80% of their mistakes. electronic calculation worksheets are better.
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Howcroft
frequ. and accountants as model builders
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Ballentine 1991
advantages and disadvantages of Spreadsheets
9 of 11
Leech 2002
arguing against SOX
10 of 11
Klamm and Weidenmier 2004
"business processes are collections of activities that combine different inputs to create output that is of value to the customer"
11 of 11
Other cards in this set
Card 2
Front
types of error, impacts of error and frequency of errors
Back
Powell et al 2008
Card 3
Front
domain errors (error in application area i.e. understanding depreciation) and device errors (error in actual spreadsheet technology i.e. wrong reference)
Back
Card 4
Front
location errors (conceptually correct formula but wrong referencing) and formula errors (misuse of operators)
Back
Card 5
Front
qualitative errors - dont lead to incorrect numbers but risk practice (parameters in formula) and quantitative - omission (misunderstanding situation), logic (wrong function chosen) and mechanical (typing mistake)
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