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Out of the Crisis
TLDR
Deming's theory of management based on the 14 Points for Management is described in Out of the Crisis, originally published in 1982 as mentioned in this paper, where he explains the principles of management transformation and how to apply them.Abstract:
According to W. Edwards Deming, American companies require nothing less than a transformation of management style and of governmental relations with industry. In Out of the Crisis, originally published in 1982, Deming offers a theory of management based on his famous 14 Points for Management. Management's failure to plan for the future, he claims, brings about loss of market, which brings about loss of jobs. Management must be judged not only by the quarterly dividend, but by innovative plans to stay in business, protect investment, ensure future dividends, and provide more jobs through improved product and service. In simple, direct language, he explains the principles of management transformation and how to apply them.read more
Citations
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Standard, routine and non‐routine processes in health care
Paul Lillrank,Matti Liukko +1 more
TL;DR: Processes in health care can be classified into standard, routine and non-routine depending on the level of repetition and amount of variation, variety and uncertainty, and quality problems are different in each type.
Journal ArticleDOI
A review of literature on manufacturing systems productivity measurement and improvement
TL;DR: In this paper, a survey of commercial tools available to measure manufacturing system performance is also performed, indicating that quantitative metrics for measuring factory level productivity and for performing factory level diagnostics (bottleneck detection, hidden capacity identification) are lacking.
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A dynamic feedback model for partner selection in agile supply chains
Chong Wu,David Barnes +1 more
TL;DR: A four‐phase dynamic feedback model for supply partner selection in agile supply chains (ASCs) that incorporates modern computer programming techniques to overcome the information processing difficulties inherent in selecting from amongst large numbers of potential suppliers against multiple criteria in conditions of uncertainty.
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Confessions of a pragmatic statistician
TL;DR: The paper reflects on the author’s experience and discusses how statistical theory, sound judgment and knowledge of the context can work together to best advantage when tackling the wide range of statistical problems that can arise in practice.
Evolutional Data Quality: A Theory-Specific View.
Liping Liu,Lauren Chi +1 more
TL;DR: A concept of theory-specific data quality (DQ) that stipulates DQ is defined and measured as the extent to which data meet the needs and specifications of a theory is proposed.
References
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To Err Is Human Building a Safer Health System
TL;DR: Boken presenterer en helhetlig strategi for hvordan myndigheter, helsepersonell, industri og forbrukere kan redusere medisinske feil.
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Software Engineering: A Practitioner's Approach
TL;DR: Software Engineering A Practitioner's Approach recognizes the dramatic growth in the field of software engineering and emphasizes new and important methods and tools used in the industry.
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Whence Consumer Loyalty
TL;DR: Both practitioners and academics understand that consumer loyalty and satisfaction are linked inextricably. But they also understand that this relation is asymmetric as mentioned in this paper. Although loyal consumers are most...
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Role congruity theory of prejudice toward female leaders.
Alice H. Eagly,Steven J. Karau +1 more
TL;DR: Evidence from varied research paradigms substantiates that consequences of perceived incongruity between the female gender role and leadership roles are more difficult for women to become leaders and to achieve success in leadership roles.
Journal ArticleDOI
Beyond accuracy: what data quality means to data consumers
Richard Y. Wang,Diane M. Strong +1 more
TL;DR: Using this framework, IS managers were able to better understand and meet their data consumers' data quality needs and this research provides a basis for future studies that measure data quality along the dimensions of this framework.