Survey of top companies highlights mental health's role in worker productivity.

2002 ◽  
Author(s):  
D. Smith
Keyword(s):  
Worker Productivity

Changing Role of Agriculture in Income and Employment, and Trends of Agricultural Worker Productivity in Indian States

2020 ◽  
pp. 183-189
Keyword(s):  
Green Revolution ◽  
Positive Trend ◽  
Worker Productivity ◽  
Indian States ◽  
Agricultural Worker ◽  
The Sixties ◽  
High Level ◽  
The Cost ◽  
Changing Role

The productivity of land has been often discussed and deliberated by the academia and policymakers to understand agriculture, however, very few studies have focused on the agriculture worker productivity to analyze this sector. This study concentrates on the productivity of agricultural workers from across the states taking two-time points into consideration. The agriculture worker productivity needs to be dealt with seriously and on a time series basis so that the marginal productivity of worker can be ascertained but also the dependency of worker on agriculture gets revealed. There is still disguised unemployment in all the states and high level of labour migration, yet most of the states showed the dependency has gone down. Although a state like Madhya Pradesh is doing very well in terms of income earned but that is at the cost of increased worker power in agriculture as a result of which, the productivity of worker has gone down. States like Mizoram, Meghalaya, Nagaland and Tripura, though small in size showed remarkable growth in productivity and all these states showed a positive trend in terms of worker shifting away from agriculture. The traditional states which gained the most from Green Revolution of the sixties are performing decently well, but they need to have the next major policy push so that they move to the next orbit of growth.

OMERACT Filter Evidence Supporting the Measurement of At-work Productivity Loss as an Outcome Measure in Rheumatology Research

2015 ◽  
Vol 43 (1) ◽  
pp. 214-222 ◽  
Author(s):  
Dorcas E. Beaton ◽  
Sarah Dyer ◽  
Annelies Boonen ◽  
Suzanne M.M. Verstappen ◽  
Reuben Escorpizo ◽  
...  
Keyword(s):  
Outcome Measurement ◽  
Contextual Factors ◽  
Productivity Loss ◽  
Work Productivity ◽  
Contextual Factor ◽  
Nominal Group ◽  
Future Research ◽  
Specific Work ◽  
Worker Productivity ◽  
Activity Impairment

Objective.Indicators of work role functioning (being at work, and being productive while at work) are important outcomes for persons with arthritis. As the worker productivity working group at OMERACT (Outcome Measures in Rheumatology), we sought to provide an evidence base for consensus on standardized instruments to measure worker productivity [both absenteeism and at-work productivity (presenteeism) as well as critical contextual factors].Methods.Literature reviews and primary studies were done and reported to the OMERACT 12 (2014) meeting to build the OMERACT Filter 2.0 evidence for worker productivity outcome measurement instruments. Contextual factor domains that could have an effect on scores on worker productivity instruments were identified by nominal group techniques, and strength of influence was further assessed by literature review.Results.At OMERACT 9 (2008), we identified 6 candidate measures of absenteeism, which received 94% endorsement at the plenary vote. At OMERACT 11 (2012) we received over the required minimum vote of 70% for endorsement of 2 at-work productivity loss measures. During OMERACT 12 (2014), out of 4 measures of at-work productivity loss, 3 (1 global; 2 multiitem) received support as having passed the OMERACT Filter with over 70% of the plenary vote. In addition, 3 contextual factor domains received a 95% vote to explore their validity as core contextual factors: nature of work, work accommodation, and workplace support.Conclusion.Our current recommendations for at-work productivity loss measures are: WALS (Workplace Activity Limitations Scale), WLQ PDmod (Work Limitations Questionnaire with modified physical demands scale), WAI (Work Ability Index), WPS (Arthritis-specific Work Productivity Survey), and WPAI (Work Productivity and Activity Impairment Questionnaire). Our future research focus will shift to confirming core contextual factors to consider in the measurement of worker productivity.

scholarly journals Recover Overnight? Work Interruption and Worker Productivity

2018 ◽  
Vol 64 (8) ◽  
pp. 3489-3500 ◽  
Author(s):  
Xiqian Cai ◽  
Jie Gong ◽  
Yi Lu ◽  
Songfa Zhong
Keyword(s):  
Worker Productivity
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