The effect of air temperature on labour productivity in call centres—a case study

Niemelä, Raimo; Hannula, Mika; Rautio, Sari; Reijula, Kari; Railio, Jorma

doi:10.1016/s0378-7788(02)00094-4

Cited by 169 publications

(97 citation statements)

References 2 publications

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“…This appears to be in accordance with many actual productivity studies in laboratories and in call centers, including Pepler et al 1968, Meese et al 1984, Wyon 1974, 1996, Niemela et al 2002, Federspiel et al 2002, and Wetterseh et al 2004]. …”

Section: Discussionsupporting

confidence: 87%

Demand Shifting With Thermal Mass in Large Commercial Buildings:Field Tests, Simulation and Audits

Xu¹,

Haves²,

Piette³

et al. 2005

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Section: Discussionsupporting

confidence: 87%

Demand Shifting With Thermal Mass in Large Commercial Buildings:Field Tests, Simulation and Audits

Xu¹,

Haves²,

Piette³

et al. 2005

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“…Niemelä et al (2002) examine the productivity of call center workers in different ambient temperatures, which vary both due to external weather and due to changes in cooling technology. The authors find that, within the range of temperatures from 22-29ºC, each additional ºC is associated with a reduction of about 1.8 percent in labor productivity.…”

Section: Labor Productivitymentioning

confidence: 99%

What Do We Learn from the Weather? The New Climate-Economy Literature

Dell

Jones²,

Olken

2014

Journal of Economic Literature

1,603

859

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A rapidly growing body of research applies panel methods to examine how temperature, precipitation, and windstorms influence economic outcomes. These studies focus on changes in weather realizations over time within a given spatial area and demonstrate impacts on agricultural output, industrial output, labor productivity, energy demand, health, conflict, and economic growth, among other outcomes. By harnessing exogenous variation over time within a given spatial unit, these studies help credibly identify (i) the breadth of channels linking weather and the economy, (ii) heterogeneous treatment effects across different types of locations, and (iii) nonlinear effects of weather variables. This paper reviews the new literature with two purposes. First, we summarize recent work, providing a guide to its methodologies, datasets, and findings. Second, we consider applications of the new literature, including insights for the “damage function” within models that seek to assess the potential economic effects of future climate change. (JEL C51, D72, O13, Q51, Q54)

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“…It often happens in laboratory studies that the differences in the task performances between different environmental conditions are not significant, while in field studies, significant differences are seen (Niemela, R. et al 2002, Tham et al 2004, Tanabe et al 2005. The lack of response in laboratory studies could mean that the environment did not impact productivity.…”

Section: Productivity Evaluationmentioning

confidence: 99%

Comfort, perceived air quality, and work performance in a low-power task–ambient conditioning system

Zhang

Arens

Kim

et al. 2010

Building and Environment

255

124

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The effect of air temperature on labour productivity in call centres—a case study

Cited by 169 publications

References 2 publications

Demand Shifting With Thermal Mass in Large Commercial Buildings:Field Tests, Simulation and Audits

Demand Shifting With Thermal Mass in Large Commercial Buildings:Field Tests, Simulation and Audits

What Do We Learn from the Weather? The New Climate-Economy Literature

Comfort, perceived air quality, and work performance in a low-power task–ambient conditioning system

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