Spreadsheet Errors and Decision Making: Evidence from Field Interviews

doi:10.4018/joeuc.2007070101

Reference Hub

This research has been cited in:

Article
A spreadsheet life cycle analysis and the impact of Sarbanes–OxleyDecision Support Systems10.1016/j.dss.2012.06.006
Article
Spreadsheet quality assurance: a literature reviewFrontiers of Computer Science10.1007/s11704-023-2384-6
Conference
CUSTODESProceedings of the 38th International Conference on Software Engineering10.1145/2884781.2884796
Chapter
An Empirical Study on Spreadsheet Shortcomings from an Information Systems PerspectiveBusiness Information Systems10.1007/978-3-319-19027-3_5
Conference
Spreadsheet Comprehension: Guesswork, Giving Up and Going Back to the AuthorProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445634
Conference
SheetDiff: A Tool for Identifying Changes in Spreadsheets2010 IEEE Symposium on Visual Languages and Human-Centric Computing10.1109/VLHCC.2010.21
Conference
Semantic table structure identification in spreadsheetsProceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis10.1145/3460319.3464812
Conference
Planted-model evaluation of algorithms for identifying differences between spreadsheets2012 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)10.1109/VLHCC.2012.6344471
Conference
Detecting table clones and smells in spreadsheetsProceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering10.1145/2950290.2950359
Conference
Struggling to Excel: A Field Study of Challenges Faced by Spreadsheet Users2010 IEEE Symposium on Visual Languages and Human-Centric Computing10.1109/VLHCC.2010.33
Article
Master production schedule using robust optimization approaches in an automobile second-tier supplierCentral European Journal of Operations Research10.1007/s10100-019-00607-2
Conference
End User Computing: The Dark Matter (and Dark Energy) of Corporate IT2012 45th Hawaii International Conference on System Sciences10.1109/HICSS.2012.244
Article
Mathematical programming modelling tools for resource-poor countries and organisationsOR Insight10.1057/ori.2009.9
Conference
SS-BDDProceedings of the 1st Brazilian Symposium on Systematic and Automated Software Testing10.1145/2993288.2993296
Chapter
Using the ResultsPatient-Reported Outcomes and Experience10.1007/978-3-030-97071-0_6
Article
The accuracy of disclosures for complex estimates: Evidence from reported stock option fair valuesAccounting, Organizations and Society10.1016/j.aos.2015.09.001
Article
The Accuracy of Disclosures for Complex Estimates: Evidence from Reported Stock Option Fair ValuesSSRN Electronic Journal10.2139/ssrn.2560885
Article
Impact of errors in operational spreadsheetsDecision Support Systems10.1016/j.dss.2009.02.002
Conference
Spreadsheet practices and challenges in a large multinational conglomerate2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)10.1109/VLHCC.2017.8103463
Article
How can non-technical end users effectively test their spreadsheets?Information Technology & People10.1108/ITP-01-2013-0004
Article
Implementing parallel spreadsheet models for health policy decisions: The impact of unintentional errors on model projectionsPLOS ONE10.1371/journal.pone.0194916
Article
Modeling equipment hierarchy and costs for ICT solutionsTransactions on Emerging Telecommunications Technologies10.1002/ett.3583
Conference
Expressive Query Construction through Direct Manipulation of Nested Relational ResultsProceedings of the 2016 International Conference on Management of Data10.1145/2882903.2915210
Article
A critical review of the literature on spreadsheet errorsDecision Support Systems10.1016/j.dss.2008.06.001
Article
Detecting Spreadsheet Errors: An Education CaseIssues in Accounting Education10.2308/iace.2008.23.3.435
Article
Design-integrated financial assessment of smart servicesElectronic Markets10.1007/s12525-018-0300-y
Article
Evaluating the Effectiveness of Static Analysis Programs Versus Manual Inspection in the Detection of Natural Spreadsheet ErrorsJournal of Organizational and End User Computing10.4018/joeuc.2014010103
Article
End User ComputingJournal of Organizational and End User Computing10.4018/joeuc.2013070101
Article
A Study of Help Requested Online by Spreadsheet UsersJournal of Organizational and End User Computing10.4018/joeuc.2012100103
Article
Introducing a Taxonomy for Classifying Qualitative Spreadsheet ErrorsJournal of Organizational and End User Computing10.4018/joeuc.2015010102
Article
Overreliance on Mathematical Accuracy of Computer Output: An Issue for IT EducatorsJournal of Organizational and End User Computing10.4018/joeuc.2014070103

Spreadsheet Errors and Decision Making: Evidence from Field Interviews

Jonathan P. Caulkins, Erica Layne Morrison, Timothy Weidemann

Source Title: Journal of Organizational and End User Computing (JOEUC)19(3)

Cite Article Cite Article

MLA

Caulkins, Jonathan P., et al. "Spreadsheet Errors and Decision Making: Evidence from Field Interviews." JOEUC vol.19, no.3 2007: pp.1-23. http://doi.org/10.4018/joeuc.2007070101

APA

Caulkins, J. P., Morrison, E. L., & Weidemann, T. (2007). Spreadsheet Errors and Decision Making: Evidence from Field Interviews. Journal of Organizational and End User Computing (JOEUC), 19(3), 1-23. http://doi.org/10.4018/joeuc.2007070101

Chicago

Caulkins, Jonathan P., Erica Layne Morrison, and Timothy Weidemann. "Spreadsheet Errors and Decision Making: Evidence from Field Interviews," Journal of Organizational and End User Computing (JOEUC) 19, no.3: 1-23. http://doi.org/10.4018/joeuc.2007070101

Export Reference

Favorite Full-Issue Download

View Full Text PDF

Abstract

Spreadsheets are both ubiquitous and error-prone, but there is less evidence concerning whether spreadsheet errors frequently lead to bad decisions. We interviewed forty-five executives and senior managers / analysts in the private, public, and non-profit sectors about their experiences with spreadsheet errors and quality control. Almost all report spreadsheet errors are common. Most can report instances in which errors directly led to losses or bad decisions, but opinions differ as to whether the consequences of spreadsheet errors are severe. Quality control procedures are in most cases informal. A significant minority of respondents believe such ad hoc processes are sufficient because the “human in the loop” can detect any gross errors. Others thought more formal spreadsheet quality control could be beneficial.

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.

Username or email: *

Password: *

Forgot individual login password?

Create individual account

Spreadsheet Errors and Decision Making: Evidence from Field Interviews

MLA

APA

Chicago

Export Reference

Abstract

Request Access