Organizational learning curve in software installation: An empirical investigation

Saraswat, Satya Prakash; Gorgone, John T.

doi:10.1016/0378-7206(90)90014-9

Cited by 16 publications

(9 citation statements)

References 11 publications

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“…The amount of scatter in Fig. 1(b) is consistent with progress curves from many non-conflict applications including successive operations by a medical surgery team (10)(11)(12)(13)(14)(15), and is to be expected given the struggle underway. The minimal timescale is one day (i.e.…”

Section: Figures 1(a) and (B)supporting

confidence: 66%

“…Progress curves (or 'functions') (5) are a widely used tool for quantifying how human productivity changes over time, e.g. in industrial manufacturing (4)(5)(6)(7), software installation (10) and even cancer surgery (11)(12)(13)(14)(15). The province-by-province progress curves reveal a remarkable regularity that we explain in terms of a dynamical arms race between an adaptive Red Queen (i.e.…”

mentioning

confidence: 85%

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Dynamic Red Queen Explains Patterns in Fatal Insurgent Attacks

Johnson¹,

Carran²,

Botner³

et al. 2011

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The Red Queen's notion "It takes all the running you can do, to keep in the same place" has been applied within evolutionary biology, politics and economics. We find that a generalized version in which an adaptive Red Queen (e.g. insurgency) sporadically edges ahead of a Blue King (e.g. military), explains the progress curves for fatal insurgent attacks against the coalition military within individual provinces in Afghanistan and Iraq. Remarkably regular mathematical relations emerge which suggest a prediction τ n = τ 1 n − m log 10 τ 1 +c [ ] for the timing of the n'th future fatal day, and provide a common framework for understanding how insurgents fight in different regions. Our findings are consistent with a Darwinian selection hypothesis which favors a weak species which can adapt rapidly, and establish an unexpected conceptual connection to Physics through correlated walks.

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Section: Figures 1(a) and (B)supporting

confidence: 66%

mentioning

confidence: 85%

Dynamic Red Queen Explains Patterns in Fatal Insurgent Attacks

Johnson¹,

Carran²,

Botner³

et al. 2011

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“…The purpose of this case study was to examine the relationship between cognitive style and the learning curve when implementing a new technology. There has been significant interest in cognitive variables [Bariff and Lusk 1977;Benbasat and Taylor 1978;Lusk and Kersnick 1979;Huber 1983;Green and Hughes 1986;Harrison and Rainer 1992;Clapp 1993;Hong et al 2004;Santanen et al 2004;Chilton et al 2005;Khoumbati et al 2006; Lee and Kwon 2006], learning curves [Howell 1980;Habermeier 1989;Saraswat and Gorgone 1990;Ramsay et al 2001], and information systems in the literature, but no integration of these three subjects. These topics are important because systems take time to learn [Bostrom et al 1990b; Davis and Bostrom 1993], and decreased performance generally results in increased operational costs.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Information Systems on End User Performance: Examining the Effects of Cognitive Style Using Learning Curves in an Electronic Medical Record Implementation

McLeod¹,

Clark²,

Warren³

et al. 2008

CAIS

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This study examines the relationship between cognitive style (adaptors versus innovators) and the learning curve when implementing new information technology. Kirton's proposition that adaptors and innovators find equally creative ways of solving problems based on cognitive preferences was tested using a longitudinal case study. Test subjects were paramedics from a large metropolitan area. Cognitive style of the paramedics was determined, along with their individual learning curve when transitioning from a paper medical record to an electronic medical record. Results indicate Kirton's proposition of equal performance between adaptors and innovators was only supported during stable periods. There was no statistically significant difference between adaptors and innovators either before implementation of the new system or post-stabilization. However, following system implementation, adaptors and innovators differed significantly with regard to their initial change in task completion times, pattern of learning, and the number of days required to reach stabilization.

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“…Em busca da melhoria contínua dos meios produtivos, pesquisadores da área de Engenharia têm sugerido diversas sistemáticas para explicar o aprimoramento resultante da repetição de tarefas, bem como os fatores que influenciam tal progresso (ANDERSON, 1982;OSOTHSILP, 2002;UZUMERI, 2000a;PANANISWAML;BISHOP, 1991;ADLER;CLARK, 1991;VITS;GELDERS, 2002). Dentre os fatores contemplados na literatura, merecem destaque: i) política de treinamento adotada pela empresa (TERWIESCH;BOHN, 2001;VITS;GELDERS, 2002;SEREL et al, 2003), ii) motivação do trabalhador em realizar as tarefas demandadas (KANFER, 1990;EYRING;JOHNSON;FRANCIS, 1993;NATTER et al, 2001;AGRELL;BAGETOFT;TIND, 2002), iii) existência de conhecimento prévio (experiência) na execução da tarefa UZUMERI, 2000aUZUMERI, , 2000bOSOTHSILP, 2002); e iv) complexidade da tarefa (PANANISWAML;BISHOP, 1991;OSOTHSILP, 2002). Outros estudos abordam fatores como destreza e retenção de conheci-mento, quando o trabalhador interrompe temporariamente a execução de uma tarefa (DAR-EL; RUBINOVITZ, 1991;WICKENS;GORDON;LIU, 1998;UZUMERI, 2000b).…”

Section: Introductionunclassified

Curvas de aprendizado: estado da arte e perspectivas de pesquisa

Anzanello

Fogliatto

2007

Gest. Prod.

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Curvas de aprendizado têm se mostrado ferramentas úteis no monitoramento do desempenho de um trabalhador submetido a uma nova tarefa, avaliando seu progresso na medida que repetições são efetuadas. Essas curvas foram introduzidas por Wright em 1936, e desde então, têm sido utilizadas para avaliação do tempo demandado para a conclusão de corridas de produção, estimação da redução de custos de produção e alocação de trabalhadores para tarefas com base em suas características de atuação. Este artigo apresenta o estado da arte da literatura em torno do tema, abordando os modelos existentes, aplicações em contextos práticos e limitações da ferramenta. Por fim, direcionamentos para pesquisas futuras serão propostos.

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Organizational learning curve in software installation: An empirical investigation

Cited by 16 publications

References 11 publications

Dynamic Red Queen Explains Patterns in Fatal Insurgent Attacks

Dynamic Red Queen Explains Patterns in Fatal Insurgent Attacks

The Impact of Information Systems on End User Performance: Examining the Effects of Cognitive Style Using Learning Curves in an Electronic Medical Record Implementation

Curvas de aprendizado: estado da arte e perspectivas de pesquisa

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