Productivity and fatigue

Tanabe, Shin‐ichi; Nishihara, Naoe

doi:10.1111/j.1600-0668.2004.00281.x

Cited by 74 publications

(49 citation statements)

References 4 publications

(5 reference statements)

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“…Tanabe et al [6] tested the effect of moderately hot environments at 25 C, 28 C, and 33 C on office work performance via a subjective experiment. The effect differed between task types and was inconsistent, while there was a clear trend of greater mental fatigue with higher temperature.…”

Section: Introductionmentioning

confidence: 99%

Workplace productivity and individual thermal satisfaction

Tanabe

Haneda

Nishihara

2015

Building and Environment

108

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Section: Introductionmentioning

confidence: 99%

Workplace productivity and individual thermal satisfaction

Tanabe

Haneda

Nishihara

2015

Building and Environment

108

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“…Early research in the …eld of Ergonomics (Cakir et al 1980) has shown that as fatigue rises, productivity falls. Tanabe and Nishihara (2004) use lab experiments to study changes in productivity and …nd that even though people are highly motivated in short term experiments, they become tired and performance deteriorates over a longer time frame as fatigue kicks in. Likewise, a key …nding in the studies by Caldwell (2001) andSetyawati (1995) is that fatigued workers exhibit diminished productivity.…”

Section: Hypothesis Developmentmentioning

confidence: 99%

Impact of Workload on Service Time and Patient Safety: An Econometric Analysis of Hospital Operations

2009

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Much of prior work in the area of service operations management has assumed service rates to be exogenous to the level of load on the system. Using operational data from patient transport services and cardiothoracic surgery-two vastly different health-care delivery services-we show that the processing speed of service workers is influenced by the system load. We find that workers accelerate the service rate as load increases. In particular, a 10% increase in load reduces length of stay by two days for cardiothoracic surgery patients, whereas a 20% increase in the load for patient transporters reduces the transport time by 30 seconds. Moreover, we show that such acceleration may not be sustainable. Long periods of increased load (overwork) have the effect of decreasing the service rate. In cardiothoracic surgery, an increase in overwork by 1% increases length of stay by six hours. Consistent with prior studies in the medical literature, we also find that overwork is associated with a reduction in quality of care in cardiothoracic surgery-an increase in overwork by 10% is associated with an increase in likelihood of mortality by 2%. We also find that load is associated with an early discharge of patients, which is in turn correlated with a small increase in mortality rate. Abstract Much of prior work in the area of service operations management has assumed service rates to be exogenous to the level of load on the system. Using operational data from patient transport services and cardiothoracic surgery -two vastly di¤erent healthcare delivery services -we show that the processing speed of service workers is in ‡uenced by the system load. We …nd that workers accelerate the service rate as load increases. In particular, a 10% increase in load reduces length of stay by 2 days for cardiothoracic surgery patients, while a 20% increase in the load for patient transporters reduces the transport time by half a minute. Moreover, we show that such acceleration may not be sustainable. Long periods of increased load (overwork) have the e¤ect of decreasing the service rate. In cardiothoracic surgery, an increase in overwork by 1% increases length of stay by 6 hours. Consistent with prior studies in the medical literature, we also …nd that overwork is associated with a reduction in quality of care in cardiothoracic surgery -an increase in overwork by 10% is associated with an increase in likelihood of mortality by 2%. We also …nd that load is associated with an early discharge of patients, which is in turn correlated with a small increase in mortality rate.We are grateful to the cardiac anesthesiologists and executives at the teaching hospital where this study was conducted. We also thank the Management Science review team as well as Stefanos Zenios, Chris Lee, and Marcelo Olivares for their insightful and constructive comments on an earlier version of this paper. The authors can be reached at dkc@emory.edu and terwiesch@wharton.upenn.edu.

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“…Indoor air temperature has a significant effect on employees' work efficiency, productivity, motivation, comfort and health (Tanabe and Nishihara, 2004;Kekäläinen et al, 2010;Lan et al, 2010). Thus, adjusting and maintaining air temperature in the comfort zone (21 -238C) is vital to improving these parameters (Tanabe and Nishihara, 2004;Kekäläinen et al, 2010;Lan et al, 2010).…”

Section: Designing Architecture For An Intelligent Work Environmentmentioning

confidence: 95%

“…Thus, adjusting and maintaining air temperature in the comfort zone (21 -238C) is vital to improving these parameters (Tanabe and Nishihara, 2004;Kekäläinen et al, 2010;Lan et al, 2010). Studies by Niemelä et al have shown that worker productivity may fall by 5-7 per cent at elevated indoor temperatures (Niemelä et al, 2002).…”

Section: Designing Architecture For An Intelligent Work Environmentmentioning

confidence: 96%

“…Proper lighting is important not only to improve workers' task performance and productivity, but also to decrease fatigue (Tanabe and Nishihara, 2004). Adjusting interior colours has also been shown to improve work performance by improving mood and vigour, while decreasing tension (Kwallek and Lewis, 1990;Kwallek et al, 2007).…”

Section: Designing Architecture For An Intelligent Work Environmentmentioning

confidence: 99%

See 1 more Smart Citation

Human well-being and flowing work in an intelligent work environment

Reijula

Gröhn

Müller

et al. 2011

Intelligent Buildings International

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The modern working environment is gradually developing towards a more 'intelligent' one, which means remarkable technological, architectural, psychosocial and medical innovations. This article defines the concept of an intelligent work environment and evaluates its meaning from a user's perspective. The authors briefly discuss the history of the intelligent environment and take a multi-professional approach to foresee the possibilities and challenges awaiting future users of intelligent working environments: they stress the importance of accessibility and ergonomics when designing intelligent work environments of the future. In addition, multimodal and architectural aspects of the intelligent working environment are closely examined.

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Productivity and fatigue

Abstract: This paper introduces interesting new methods for evaluation of people's fatigue.

Cited by 74 publications

References 4 publications

Workplace productivity and individual thermal satisfaction

Workplace productivity and individual thermal satisfaction

Impact of Workload on Service Time and Patient Safety: An Econometric Analysis of Hospital Operations

Human well-being and flowing work in an intelligent work environment

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