Measuring the Contribution of Workers' Health and Psychosocial Work‐Environment on Production Efficiency

Ødegaard, Fredrik; Roos, Pontus

doi:10.1111/poms.12242

Cited by 32 publications

(21 citation statements)

References 60 publications

(96 reference statements)

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“…Productivity analyses are an often-studied area within the field of production and operational management. Previous studies have examined workers' productivity from the viewpoint of job-related issues [10][11][12][13], technology [15,18], worker demographics and socioeconomic features [7,19,22,31], and worker health conditions [34][35][36][42][43][44][45]55,56]. Although previous research has explored several factors contributing to workers' productivity, few studies have examined the link between workers' on-job emotional states and productivity.…”

Section: Discussionmentioning

confidence: 99%

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Emotional Status and Productivity: Evidence from the Special Economic Zone in Laos

et al. 2020

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Employee productivity is a well-studied area, which has been explained in various dimensions. However, there is insufficient research on how workers' on-job emotional status relates to productivity. This study examined the relationship between workers' emotional states and productivity by assessing on-job emotionality recorded using a specially designed wearable biometric device. The experiment was conducted at KP Beau Lao Co. Ltd., a Japanese plastic toys and cosmetic products company in Savannakhet province in Southwestern Laos. Participants were 15 plastic toy painters. Mental status, daily output, and other issues were recorded for three consecutive working days. Using random effects panel regression models, we examined how productivity, operationalized as the log of daily output, was related to workers' emotional states, including the amount of time workers reported being happy, angry, relaxed, and sad. We controlled for conversation time, heart rate, and other demographic features. The results revealed that happiness, and no other emotional state, was significantly and positively related to productivity. Such findings suggested that workers' emotional states must be addressed as part of an organization's operational strategy to ensure higher productivity.

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Section: Discussionmentioning

confidence: 99%

“…Studies have also emphasized how an employee's health and wellbeing impact productivity. Neumann and Dul [42], as well as Ødegaard and Roos [43], found that healthier employees are more productive. Gubler, Larkin, and Pierce [44] provided evidence that implementing a corporate wellness program improved employee productivity.…”

Section: Introductionmentioning

confidence: 95%

Emotional Status and Productivity: Evidence from the Special Economic Zone in Laos

et al. 2020

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“…For example, Pericoli et al . () use their index to explain the impact of social capital on consumption insurance and income volatility, while Ødegaard and Roos () use predicted values of latent labour quality in a DEA study explaining the productive efficiency of large firms in Sweden.…”

Section: Empirical Strategymentioning

confidence: 99%

Efficiency Effects of Access to Information on Small‐scale Agriculture: Empirical Evidence from Uganda using Stochastic Frontier and IRT Models

Abdul-Salam

Phimister

2016

J Agricultural Economics

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Low power home electrical items such as radios, mobile phones and televisions are an important source of agricultural information for small-scale farmers in developing countries. To empirically test the effects of access to information from these items on efficiency in agriculture, we formulate a stochastic frontier model augmented with a technical efficiency model that controls for an index capturing farmers' 'ability to access information'. The index is constructed with a 2-parameter item response theory (IRT) model based on farmers' access to the electrical items. Using six rounds of panel data on small-scale farmers in Uganda, we find empirical evidence of a significant and positive relationship between farmer ability to access information and farm efficiency. There is also evidence that the size of these effects is larger for more literate hence better educated farmers. Greater access to information also appears to be associated with increased variance of (in)efficiency and output although the form of the increased variances is underpinned by low risk of lower efficiency and output realisations and high likelihood of higher efficiency and output realisations. Our findings imply that access to limited quantities of electricity needed to power these electrical items can have positive farm efficiency effects, 1 Yakubu Abdul-Salam is in the and hence the importance of off-grid electricity (e.g. standalone solar panels) for small-scale farmers in typically isolated communities in developing countries.

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“…The remaining 4 studies (4%) all used ad hoc approaches that (41, 45-48, 51, 56-58, 60, 62, 64, 66, 68, 70, 72-75, 79, 81, 83, 84, 87-90, 92, 93, 95, 97, 98, 100-102, 105, 107-110, 113, 117-125) North-America 34 (39, 40, 43, 44, 50, 52-55, 59, 61, 63, 65, 69, 71, 76, 80, 82, 85, 86, 91, 94, 96, 99, 103, 106, 111, 112, 114-116, 126- (39, 41, 42, 44, 45,49,50,(52)(53)(54)(55)59,60,67,68,70,71,76,77,82,87,95,115, 128) Inferred: 19 (40, 43, 46,57,61,63,65,80,86,91,92,94,96,103,111,116,(125)(126)(127)56,62,64,66,69,72,73,75,78,79,81,(83)(84)(85)…”

Section: Productivity Estimation Methodsmentioning

confidence: 99%

“…Only 5 (50,55,59,76,92) of the 90 studies did not include a measure of lost-time (absenteeism or presenteeism). This is because, in addition to studies with a primary or secondary method that used lost-time (productivity in natural units, HCA, or FCA), several of the ad hoc and output-based methods measured absenteeism or presenteeism.…”

Section: Measuring Time Lossmentioning

confidence: 99%

Productivity estimation in economic evaluations of occupational health and safety interventions: a systematic review

Steel¹,

Godderis²,

Luyten³

2018

Scand J Work Environ Health

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Productivity estimation is a key factor in demonstrating the cost-effectiveness of occupational health and safety (OHS). However, the studies analysed in this systematic review lack standardization, exclude important factors, and the precision, validity and reliability of estimates widely differs. Researchers should be aware of how the method and precision of estimating productivity affects results, and, ultimately, the economic attractiveness of OHS. Key terms: absenteeism; cost-effectiveness; economic evaluation; friction cost; human capital; indirect cost; measurement; methodology; occupational health; occupational health and safety; presenteeism; productivity estimation; review; systematic review; valuation; work This article in PubMed: www.ncbi.nlm.nih.gov/pubmed/29405241 Additional materialPlease note that there is additional material available belonging to this article on the Scandinavian Journal of Work, Environment & Health -website. Scand J Work Environ Health -online first 1Review Productivity estimation in economic evaluations of occupational health and safety interventions: a systematic review by Jonas Steel, MSc, 1 Lode Godderis, MD,2,3 Jeroen Luyten, PhD 1,4 Steel J, Godderis L, Luyten J. Productivity estimation in economic evaluations of occupational health and safety interventions: a systematic review. Scand J Work Environ Health -online first. doi:10.5271/sjweh.3715Objectives Occupational health and safety (OHS) interventions' effect on worker productivity is an essential, but complex element of the value of these programs. The trustworthiness of economic evaluation studies, aiming to provide guidance to decision-makers in the field of OHS, depends at least partly on how accurately productivity changes are measured. We aim to review the methods used to estimate productivity changes in recently published economic evaluations of OHS interventions. MethodsWe performed systematic searches of economic evaluations of OHS programs published between 2007 and 2017 and reviewed these studies' methods to quantify the programs' impact on worker productivity ResultsOf the 90 identified studies, 44 used a human capital approach, 17 a friction cost approach, 13 stated productivity in natural units (eg, a cost-per-absence-day-avoided), 7 made use of compensation expenses, 4 used output-based methods, 4 an "ad hoc" approach, and 1 study did not state its method. Different approaches were combined in 19 studies. Within these methods, we observed a wide diversity in their precise implementation, especially regarding the measurement and valuation of absenteeism and presenteeism.Conclusions Productivity is a key element of the economic attractiveness of investing in OHS. Economic evaluation studies of OHS would benefit from more methodological standardization in their approach to quantifying productivity change. Future research should better account for the methodological uncertainty that occurs in estimating it in order to demonstrate the impact that particular choices and approaches to productivity estimation ca...

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Measuring the Contribution of Workers' Health and Psychosocial Work‐Environment on Production Efficiency

Cited by 32 publications

References 60 publications

Emotional Status and Productivity: Evidence from the Special Economic Zone in Laos

Emotional Status and Productivity: Evidence from the Special Economic Zone in Laos

Efficiency Effects of Access to Information on Small‐scale Agriculture: Empirical Evidence from Uganda using Stochastic Frontier and IRT Models

Productivity estimation in economic evaluations of occupational health and safety interventions: a systematic review

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