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1
Schmitt, Günther H. "What do Agricultural Income and Productivity Measurements Really Mean?" Agricultural Economics 2, no. 2 (1988): 139–57. http://dx.doi.org/10.1111/j.1574-0862.1988.tb00044.x.
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Mueller, Steffen. "Works Councils and Labour Productivity: Looking beyond the Mean." British Journal of Industrial Relations 53, no. 2 (2013): 308–25. http://dx.doi.org/10.1111/bjir.12037.
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Siegel, Donald. "Symposium on Harrison's ?Lean and Mean?: A productivity perspective." Small Business Economics 7, no. 5 (1995): 349–51. http://dx.doi.org/10.1007/bf01302734.
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Schmitt, G. "What do agricultural income and productivity measurements really mean?" Agricultural Economics 2, no. 2 (1988): 139–57. http://dx.doi.org/10.1016/0169-5150(88)90013-8.
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Charles, Grace K., Lauren M. Porensky, Corinna Riginos, Kari E. Veblen, and Truman P. Young. "Herbivore effects on productivity vary by guild: cattle increase mean productivity while wildlife reduce variability." Ecological Applications 27, no. 1 (2017): 143–55. http://dx.doi.org/10.1002/eap.1422.
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HU, Liangjun, and Qinfeng GUO. "What Does Productivity Really Mean? Towards an Integrative Paradigm in the Search for Biodiversity-Productivity Relationships." Notulae Botanicae Horti Agrobotanici Cluj-Napoca 41, no. 1 (2013): 36. http://dx.doi.org/10.15835/nbha4118948.
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How species diversity relates to productivity remains a major debate. To date, however, the underlying mechanisms that regulate the ecological processes involved are still poorly understood. Three major issues persist in early efforts at resolution. First, in the context that productivity drives species diversity, how the pathways operate is poorly-explained. Second, productivity  per se varies with community or ecosystem maturity. If diversity indeed drives productivity, the criterion of choosing appropriate measures for productivity is not available. Third, spatial scaling suggests that sampling based on small-plots may not be suitable for formulating species richness-productivity relationships (SRPRs). Thus, the long-standing assumption simply linking diversity with productivity and pursuing a generalizing pattern may not be robust. We argue that productivity, though defined as ‘the rate of biomass production’, has been measured in two ways environmental surrogates and biomass production leading to misinterpretations and difficulty in the pursuit of generalizable SRPRs. To tackle these issues, we developed an integrative theoretical paradigm encompassing richer biological and physical contexts and clearly reconciling the major processes of the systems, using proper productivity measures and sampling units. We conclude that loose interpretation and confounding measures of productivity may be the real root of current SRPR inconsistencies and debate.
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Khalid Said Ali AL Zawamri. "The Impact of Total Quality Management on Productivity in Oil and Gas Manufacturing Industries: A Case Study from SME of Oman." Journal of Information Systems Engineering and Management 10, no. 3 (2025): 388–406. https://doi.org/10.52783/jisem.v10i3.4934.
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This study explores the relationship between Total Quality Management (TQM) practices and productivity in Omani SMEs within the oil and gas manufacturing sector. Using a five-point Likert scale, the research examines TQM dimensions such as top management support, customer focus, employee motivation, and continuous improvement, and their impact on productivity, human capital investment, product quality, and production size. Results show a strong link between TQM practices and productivity, with top management support having the most significant impact (mean = 4.28, SD = 0.82). Other dimensions, including customer focus (mean = 4.08, SD = 0.86), employee motivation (mean = 3.96, SD = 0.96), and continuous improvement (mean = 4.09, SD = 0.88), also scored highly. Human capital investment (mean = 4.02, SD = 0.96) and its impact on productivity (mean = 4.11, SD = 1.00) were strongly correlated with productivity. Key productivity drivers were identified as product quality (mean = 4.23, SD = 0.85) and production size (mean = 4.26, SD = 0.84). Regression analysis revealed a strong positive relationship between TQM practices and productivity, with an R square value of 0.696, indicating that TQM accounts for nearly 70% of productivity variation. ANOVA confirmed the robustness of the model. While the sector shows high TQM implementation and productivity, improvements are needed in employee involvement and customer feedback collection, offering valuable insights for SMEs in Oman.
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Liang, Lingfeng, Xiancun Hu, Linda Tivendale, and Chunlu Liu. "The log mean divisia index based carbon productivity in the Australian construction industry." Construction Economics and Building 17, no. 3 (2017): 68–84. http://dx.doi.org/10.5130/ajceb.v17i3.5544.
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Environmental protection and economic growth are two indicators of sustainable global development. This study aims to investigate the performance of environmental protection and economic growth by measuring carbon productivity in the construction field. Carbon productivity is the amount of gross domestic product generated by the unit of carbon emissions. The log mean Divisia index method is used to investigate influential factors including carbon intensity, energy intensity and regional adjustment that impact on changes of carbon productivity. The study utilises a range of data from the Australian construction industry during 1995-2004 including energy consumption, industry value added and carbon dioxide equivalent consumption. The research indicates carbon productivity in the Australian construction industry has clearly increased. Energy intensity plays a significant positive role in promoting carbon productivity, whereas carbon intensity and regional adjustment have limited influence. Introducing advanced construction machinery and equipment is a feasible pathway to enhance carbon productivity. The research method is generic and can be used to measure other performance indicators and decomposing them into influential factors.
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Dias, Daniel A., and Carlos Robalo Marques. "From Micro to Macro: A Note on the Analysis of Aggregate Productivity Dynamics Using Firm-Level Data." International Finance Discussion Paper 2021, no. 1314 (2021): 1–36. http://dx.doi.org/10.17016/ifdp.2021.1314.
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In the empirical literature, the analysis of aggregate productivity dynamics using firm-level productivity has mostly been based on changes in the mean of log-productivity. This paper shows that there can be substantial quantitative and qualitative differences in the results relative to when the analysis is based on changes in the mean of productivity, and discusses the circumstances under which such differences are likely to happen. We use firm-level data for Portugal for the period 2006-2015 to illustrate the point. When the mean of productivity is used, we estimate that TFP and labor productivity for the whole economy increased by 17.7 percent and 5.2 percent, respectively, over this period. But, when the mean of log-productivity is used, we estimate that these two productivity measures declined by 4.3 percent and 1.8 percent, respectively. Similarly disparate results are obtained for productivity decompositions regarding the contributions for productivity growth of surviving, entering and exiting firms.
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Hamberger, Jonathan. "Individual Contracts What Do They Mean for Australia?" Economic and Labour Relations Review 6, no. 2 (1995): 288–99. http://dx.doi.org/10.1177/103530469500600207.
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Collective bargaining can be of benefit to both employees and employers. Nevertheless, there is growing interest in individual contracts, as part of a broader agenda for labour market flexibility. In particular, individual contracts are being pursued by some companies as part of a human resource management strategy to increase productivity by reducing the role of third parties and promoting ‘common purpose’ between the firm and its employees. There is some evidence that individual contracts can indeed contribute to higher productivity. The challenge for policy makers is to provide sufficient flexibility in the area of individual contracts while preventing employers from using them to reduce wages and conditions.
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T.Nagarathinam and Rameshkumar K. "K-Means Algorithm for ROI Segmentation from Diseased Plant Leaf." RESEARCH REVIEW International Journal of Multidisciplinary 03, no. 11 (2018): 568–73. https://doi.org/10.5281/zenodo.1495849.
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Plants are one of the most important resources to living things in world. Every human and animal leads their life with the help of plants. Nowadays, most plants are affected by different diseases. When disease ratio is increase, the productivity from the plants decrease, sometimes it stops the productivity. To increase the productivity, need very fast disease detection techniques. For which we attempt to develop a automated segmentation algorithm for diseased portion segmentation from the plant leaves.
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Morris, James T., Björn Kjerfve, and John M. Dean. "Dependence of estuarine productivity on anomalies in mean sea level." Limnology and Oceanography 35, no. 4 (1990): 926–30. http://dx.doi.org/10.4319/lo.1990.35.4.0926.
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Reed, David D., and Elizabeth A. Jones. "Assessing multiple estimates of plantation productivity." Canadian Journal of Forest Research 19, no. 8 (1989): 948–54. http://dx.doi.org/10.1139/x89-146.
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Forest managers are often faced with several estimates of plantation productivity. Not only are there different measures of productivity, such as site index or mean annual increment at some fixed age, but estimates of each may be obtained from several sources, including habitat classification systems, soil site equations, and growth measures from young stands. Site index cannot be truly observed until the stand reaches index age, and mean annual increment cannot be truly observed without measuring standing volume at the age of interest. Without observations of these "true" values, common measures of accuracy have only generally evaluated performance compared to a standard method that accurately predicts these values. In this paper, a technique of assessing alternative estimates of site index and mean annual increment in the absence of observations of the true values is presented and is illustrated through a quantitative evaluation of the alternative productivity estimates for young red pine plantations.
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Wosu, Des, Azubuike George, Daniel O. Aikhuele, and Harold U. Nwosu. "Development of Artificial Intelligent Based Model for Improving Productivity and Reducing Manufacturing Cost." Saudi Journal of Engineering and Technology 10, no. 01 (2025): 13–16. https://doi.org/10.36348/sjet.2025.v10i01.004.
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This study proposes an artificial intelligence-driven model that can enhance productivity and reduce manufacturing costs in the brewery industry of Nigeria. The research initiated with a critical literature review on the factors of productivity in the knowledge-intensive industries, choosing thereupon the brewery sector based on expert advice. In total, three predictive models were developed, namely Artificial Neural Network, Machine Learning, and a hybrid Artificial Neural Network-Machine Learning model, for predicting productivity. The Mean Squared Error was 0.001399 for the Artificial Neural Network model, Root Mean Squared Error was 0.037407, and Mean Absolute Error was 0.037283, while the Machine Learning had Mean Squared Error of 0.040378, Root Mean Squared Error of 0.200943, and Mean Absolute Error of 0.183000, the hybrid having Mean Squared Error of 0.013982, Root Mean Squared Error of 0.118247, and Mean Absolute Error of 0.110141. It also proved the fact that the Machine Learning model is able to predict productivity based on maintenance, Mean Time Before Failure, and Mean Time to Repair indicators since the obtained values for this type of model had lower errors than all the others: Mean Absolute Error = 0.08508, Mean Squared Error = 0.19275, Root Mean Squared Error = 0.43903.
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Usman, Suleiman, Aisha I. Shehu, and Nuru Gambo. "Factors Affecting Construction Labour Productivity for Effective Projects Delivery Performance In Borno State Nigeria." British Journal of Environmental Sciences 12, no. 7 (2024): 77–96. https://doi.org/10.37745/bjes.2013/vol12n77796.
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Construction projects play a vital role in developed and developing countries' economic and social development. However, poor productivity in the construction sector often leads to significant revenue losses. This study assesses the factors affecting construction labour productivity and their impact on project delivery performance in Borno State, Nigeria. A quantitative research approach was employed, using a questionnaire that identified 28 factors affecting labour productivity, categorised into five groups and three categories related to project effectivenes. Data collated were drawn from(177) respondents, including 42 Architect, 54 Builders, and 81 Masons, involved in construction projects. The collected data were analysed using descriptive statistics (mean and standard deviation). The results reveal that key factors affecting labour productivity in the region include worker relationships (mean = 3.80), worker health (mean = 3.79), and incentive programs (mean = 3.72). For project delivery effectivenes, political interference (mean = 4.07), corruption (mean = 3.85), and on-site waste (mean = 3.78) were identified as significant influences. The study suggests that improving team dynamics, fostering healthy work environments, and implementing motivational strategies can enhance labour productivity. It recommends adopting effective project management practices, including detailed planning, scheduling, and resource allocation, to improve project delivery and overall performance in Borno State's construction sector.
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Fernald, John G., and J. Christina Wang. "Why Has the Cyclicality of Productivity Changed? What Does It Mean?" Annual Review of Economics 8, no. 1 (2016): 465–96. http://dx.doi.org/10.1146/annurev-economics-080315-015018.
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K., J. Adamu, Dzasu W.E., Haruna A., and K. Balla S. "LABOUR PRODUCTIVITY CONSTRAINTS IN THE NIGERIAN CONSTRUCTION INDUSTRY." Continental J. Environmental Design and Management 1, no. 2 (2011): 9–13. https://doi.org/10.5281/zenodo.824735.
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The study examined the factors that affect production output of craftsmen involved in building projects. The objective is to ascertain productivity influence factors among operatives in indigenous constructing organizations in the North – Eastern states of Nigeria. Data were purposively obtained from 5 states of the zone namely, Adamawa, Taraba, Bauchi, Yobe and Gombe State. Data were collected from a total of 170 sampled craftsmen using simple random techniques. Data collected were analysed using simple percentages, mean, ranking scale and the chi – square. Results revealed that low wages ranked top amongst the factors considered to have impact on craftsmen productivity with a mean score of 3.86. It was closely followed by lack of materials with a mean score of 3.79 and unfriendly working atmosphere with mean 3.62. However, the result also showed that repeated works and inspection delays with mean scores of 1.21 and 2.31 respectively have little or no effect on the level of the productivity of the craftsmen. Finally, the result of the hypotheses tested at 0.05 level of significance showed that significant relationship exists between the factors that hinder productivity and the expected output of the craftsmen on site.
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Ines, C., A. Ben Tekaya, A. Gharbi, et al. "POS0361-PARE THE MEDIATING EFFECT OF PAIN CATASTROPHIZING ON WORK PRODUCTIVITY." Annals of the Rheumatic Diseases 81, Suppl 1 (2022): 434.2–434. http://dx.doi.org/10.1136/annrheumdis-2022-eular.4974.
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BackgroundWork disability is a major patient outcome for spondyloarthritis (SpA) patients since SpA mostly appears in younger adults.Objectiveswe examined the influence of catastrophizing as a negative psychological factor on work productivity and activity impairment in SpA.MethodsWe conducted a cross-sectional study over a 3 months period. We included patients treated with SpA (Assessment of SpondyloArthritis International Society (ASAS) 2009 criteria). Patients related data, and disease characteristics were collected. Pain catastrophizing were assessed by the pain catastrophizing score (PCS). Work productivity and activity impairment were evaluated by Work productivity and Activity Impairment Questionnaire (WPAI). WPAI score examined four aspects of the patient’s life: Absenteeism due to SpA and presenteism at work, work productivity loss and activity impairment.ResultsSixteen SpA patients were enrolled (22 females and 38 males). Mean age was 39,4 years ± 11,08. Mean disease duration was 11,37 years ±7,23; 28 were unemployed. Among workers, absenteeism due to SpA was reported in 7 cases (21,9%). Mean absenteeism rate was 2,35% [0-20]. Both mean work productivity loss and mean activity impairment were 50,23% [20-90].Mean PCS was 15,73 ± 13,893. Thirteen patients (21,7%) had PCS >30 which indicates a clinically relevant level of catastrophizing, and only two of them reported absenteeism at work. PCS score was higher in patients with absenteeism (mean score=26), compared to patients without absenteeism (mean score=16,96), (p=0,166). Presenteeism was lower in patients with higher pain catastrophizing scores, without reaching a significant difference (p=0,066). A higher PCS was significantly correlated with a greater work productivity loss (p= 0,036, r=0,371) and greater activity impairment (p=0,005, r=0,36).ConclusionIn our series, pain catastrophizing affected work productivity and daily activity in patients with SpA.Disclosure of InterestsNone declared
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van der Vlegel, Marjolein, Juanita A. Haagsma, Leonie de Munter, Mariska A. C. de Jongh, and Suzanne Polinder. "Health Care and Productivity Costs of Non-Fatal Traffic Injuries: A Comparison of Road User Types." International Journal of Environmental Research and Public Health 17, no. 7 (2020): 2217. http://dx.doi.org/10.3390/ijerph17072217.
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This study aimed to provide a detailed overview of the health care and productivity costs of non-fatal road traffic injuries by road user type. In a cohort study in the Netherlands, adult injury patients admitted to a hospital as a result of a traffic accident completed questionnaires 1 week and 1, 3, 6, 12 and 24 months after injury, including the iMTA Medical Consumption and Productivity Cost Questionnaire. In-hospital, post-hospital medical costs and productivity costs were calculated up to two years after traffic injury. In total, 1024 patients were included in this study. The mean health care costs per patient were € 8200. The mean productivity costs were € 5900. Being female, older age, with higher injury severity and having multiple comorbidities were associated with higher health care costs. Higher injury severity and being male were associated with higher productivity costs. Pedestrians aged ≥ 65 years had the highest mean health care costs (€ 18,800) and motorcyclists the highest mean productivity costs (€ 9000). Bicycle injuries occurred most often in our sample (n = 554, 54.1%) and accounted for the highest total health care and productivity costs. Considering the high proportion of total costs incurred by bicycle injuries, this is an important area for the prevention of traffic injuries.
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Marites, D. Paquibulan MBA, and Floyd Schneider PHD. DBA CGSP CHIA Stilo. "Employability and Work Environment as Predictors to Employee Productivity of Banks Employees." International Journal of Business Management and Technology 6, no. 3 (2023): 365–82. https://doi.org/10.5281/zenodo.7679562.
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The main purpose of this study was to find out if employability and work environment significantly influence employee productivity of banks employees of Davao del Norte and Davao de Oro. The 255 respondents of this study are from 27 banks of Davao del Norte and Davao de Oro. The statistical tools used to interpret the data gathered were Mean, Pearson-r, and Multiple Regression Analysis. The independent variables were employability and work environment, while the dependent variable was employee productivity. Findings from the study revealed that employability got a mean of 4.33 which means very high.This indicates that the level of employability is very much observed. And, work environment received a mean of 4.20 which means very high, this indicates that the level of work environment is very much observed. On the other hand, employee productivity got a mean score of 4.31 which means very high, this indicates that the level of employee productivity is very much observed. Moreover, the result shows a significant relationship between employability and work environment on employee productivity. Also, all the domains of the variables mentioned above significantly predict the employee productivity of bank employees of Davao del Norte and Davao de Oro. Thus, a better employability and work environment would positively contribute to increasing employee productivity
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McFadden, Joseph P., Neil W. MacDonald, John A. Witter, and Donald R. Zak. "Fine-textured soil bands and oak forest productivity in northwestern lower Michigan, U.S.A." Canadian Journal of Forest Research 24, no. 5 (1994): 928–33. http://dx.doi.org/10.1139/x94-122.
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The relationship between fine-textured soil bands and forest productivity was studied by comparing three mixed-oak (Quercusrubra L. and Quercusalba L.) stands that had little or no fine-textured banding with three stands that had bands. The degree to which soil factors could account for differences in productivity between banded and unbanded stands was examined using two methods, one based on field observations (banding codes) and the other based on laboratory textural analysis. Because stand ages were not significantly different, overstory biomass was used as an index of productivity. Mean overstory biomass in the banded stands was 312 Mg/ha, significantly greater than 170 Mg/ha measured in the unbanded stands. Mean percent clay + silt and mean banding code also were significantly higher in banded than in unbanded stands. Linear regression analysis indicated that mean percent clay + silt accounted for 57% of the variation in overstory biomass, whereas mean banding code accounted for 40% of the variation. In the oak stands we studied, variation in productivity can be explained largely by differences in soil texture associated with fine-textured bands. We also found a positive relationship between mean banding code and mean percent clay + silt (r2 = 0.90), which suggests that the field method of quantifying banding can produce values that are highly correlated with soil texture and, by extension, forest productivity.
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Mubassir Ahmad, Muhammad Ibrahim, Amjad Ali, et al. "Response of maize productivity to nitrogen management and mulching practices." Journal of Agriculture Sustainability and Environment 1, no. 1 (2022): 52–61. http://dx.doi.org/10.56556/jase.v1i1.882.
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The present experiment was conducted to evaluate the effect of different nitrogen levels and mulch practice on days to physiological maturity, plant height, mean leaf area, mean weeds population, weeds fresh weight, weeds dry weight of maize at Agriculture Research Station Swabi, Khyber Pakhtunkhwa during summer 2019. The experiment was laid out in a randomized complete block design (RCBD) with three replicates. Data was recorded on six quantitative traits i.e. days to physiological maturity, plant height, mean leaf area, mean weeds population, weeds fresh weight, weeds dry weight. Results indicated that Days to physiological maturity, plant height, mean leaf area, mean weeds population, weeds fresh weight, weeds dry weight was significantly altered due to applied treatment. The treatment nitrogen level (N4-150 g.) give high results for the Days to physiological maturity, plant height, mean leaf area, mean weeds population, weeds fresh weight, weeds dry weight as compared to other level of nitrogen, (N1-control), (N2-50g), (N3-100g), (N5-200g). And similarly organic mulch (crop residue) show high result for the Days to physiological maturity, plant height, mean leaf area, mean weeds population, weeds fresh weight, weeds dry weight as compared to inorganic mulch (plastic mulch). It was observed that the nitrogen level (N4-150g) valuable fertilizer and organic mulch show better result as compare to other nitrogen level and inorganic mulch.
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U.F., Ibrahimova, and Mammadov A.Ch. "Effect of Salt Stress on the Productivity Indices of Wheat (Triticum aestivum L. and Triticum durum Desf.) Genotypes." Journal of Life Sciences and Biomedicine 73, no. 2 (2022): 91–94. https://doi.org/10.5281/zenodo.7401701.
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The effect of salt stress on productivity indices (weight of grain per 1m2 area, 1000 grain weight, spike weight, weight and the number of spikelets in a spike) of local perspective bread (Giymatli-2/17, Nurlu-99, Azamatli-95) and durum (Garagilchig-2, Barakatli-95) wheat genotypes, regionalized in Azerbaijan has been studied. The research was carried out under field conditions. Salt stress was found to negatively affect productivity of varieties and structural elements of productivity. According to the tolerance indices (productivity under normal conditions, productivity under stress, mean productivity, geometric mean productivity, stress sensitivity index, stress tolerance index) Giymatli2/17 is productive and medium tolerant, Nurlu-99 and Barakatli-95 are productive and tolerant, Azamatli-95 is medium productive and medium tolerant, and the Garagilchig-2 genotype is sensitive
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Monnaie, Bernard F. "Supplier-Buyer Collaboration Versus Productivity." Journal of Sustainable Development 10, no. 2 (2017): 83. http://dx.doi.org/10.5539/jsd.v10n2p83.
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Firms that upgrade and then maintain supply-demand matching collaboration with a highly-governed commercial chain, like a Global Value Chain (GVC), are thought to obtain better opportunities for improving their business prospects. This paper reviews a study on such a hypothetical impact by using data from the fish value chain of Seychelles, comprising a few small-scale producers that have upgraded to supply foreign markets. The difference in the mean value of 5 months’ of production capacity, actual output and productivity (as total output value/input value) of random fish suppliers that had upgraded (n = 34) and not upgraded (n = 32) were tested. Four of the upgraded suppliers were subsequently interviewed on key production-related attributes. Only the difference in the mean productivity figures of the two groups of firms was not significant. The interviews suggest that (1) the productivity of upgraded suppliers is strongly impacted by their directly-controlled resources and exploited fish stocks and (2) viability challenges motivate upgraded suppliers to multi-chain and target various foreign and native customers. The results indicate that supply-demand collaboration in a highly-governed fish chain allows small-scale producers to improve their production capacity, associated output and their potential productivity too if it helps strengthen the environmental sustainability of their fish stocks.
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VYAS, MM, ML PUROHIT, and BL GAJJA. "Crop productivity and environmental attributes in Jodhpur district of western Rajasthan." MAUSAM 36, no. 2 (2022): 203–4. http://dx.doi.org/10.54302/mausam.v36i2.1866.
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The study deals with crop yields of bajra, kharif pulses and sesamum in relation to rainfall, mean relative humidity and mean temperature in Jodhpur district of western Rajasthan. Highest instability was observed in order to sesamum, bajra and kharif pulses, while mean relative humidity and mean temperature were more stable. Multivariate analysis showed that yield of crops under study were positive and significantly influenced by rainfall and negatively by mean temperature an Mon- barring bajra crop. The mean relative humidity had weak influence on crop productivity and significant at lower level. The order of variables were rainfall, mean relative humidity and mean temperature, for bajra and kharif pulses while for sesamum order was rainfall, mean temperature and mean relative humidity. Therefore, to increase the yield of crops, technological changes like use of fertilizer and HYV seeds more tolerant to temperature should be popularized.
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Hermilia, Hermilia, Nur Ahyani, and Alhadi Yan Putra. "The Effect of Creativity and Work Motivation on the Productivity of Islamic Religious Education Teachers." Edunesia : Jurnal Ilmiah Pendidikan 2, no. 2 (2021): 464–73. http://dx.doi.org/10.51276/edu.v2i2.145.
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The effect of creativity and work motivation on the productivity of Islamic Religious Education (IRE) teachers. This study aims to determine the effect of creativity and work motivation on the productivity of IRE teachers in Lengkiti district at Ogan Komering Ulu (OKU) district. As for the formulation of the problem, (1) is there an effect of creativity on the productivity of IRE elementary school teachers?, (2) is there an effect of motivation on the productivity of IRE elementary school teachers?, and (3) is there an effect of creativity and motivation on the productivity of IRE elementary school teachers?. This type of research is descriptive. The sample in this study amounted to 19 people in 19 SD Negeri in OKU District. Data collection techniques in the form of observation, questionnaires and documentation. The results of this study. Based on respondents' perceptions about the effect of creativity on teacher productivity in a moderate category, the mean was 69.43. The results of the descriptive analysis of the effect of IRE motivation on teacher productivity are in a good category, the mean is 58.68. The results of the analysis of the effect of creativity and work motivation on teacher productivity are in moderate category with a mean of 49.59.
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Dhamira, Aura, and Herdiana Anggrasari. "Indonesian Climatic Factors and Its Effect on Cocoa Productivity." West Science Interdisciplinary Studies 2, no. 05 (2024): 963–74. http://dx.doi.org/10.58812/wsis.v2i05.873.
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One of the important aspects in cocoa cultivation is productivity, as it is related to the ability of national cocoa producers to meet market demand. Cocoa productivity is affected by many factors, including climate factors. On this basis, this study aims to determine the trend of national cocoa productivity and climatic factors (maximum temperature, minimum temperature, mean temperature, and rainfall) and to determine the influence of climatic factors on cocoa productivity. By applying a descriptive method, this research utilized secondary data with a time span between 1961-2021, which were analyzed using quadratic regression model. From the analysis, it was clear that there had been increasing tendency for national cocoa productivity, maximum temperature, minimum temperature, mean temperature and rainfall from year to year. Meanwhile, the climatic factors that affect cocoa productivity are the maximum temperature, minimum temperature, and mean temperature with an optimum point of 30.53°C; 21.31°C and 25.87°C respectively. Temperature generally has a negative effect on cocoa productivity, although it does not have a big impact. However, continuous exposure to temperature will lead to a more harmful threat to cocoa productivity. This research contributes to the use of non-linear regression analysis, especially quadratic regression model in determining climatic factors that influence cocoa productivity in Indonesia, considering that not many studies have used similar model.
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Minat, V. N. "The Paradox of Labour Productivity: When More Work Doesn’t Mean Better Results (the Case of American Economy)." AlterEconomics 20, no. 3 (2023): 603–20. http://dx.doi.org/10.31063/altereconomics/2023.20-3.6.
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This study aims to provide a theoretical and empirical assessment of the influence of increased work intensity, physical strain, and repetitive tasks on labour productivity in different sectors of the US economy over an extended period. Employing an index-based methodology, we present a comparative analysis of changes in these factors from 1901 to 2020, using indicators and standards provided by the US Bureau of Labour Statistics. The findings reveal a paradoxical trend of slowing and, in some cases, declining labour productivity growth in specific sectors of the American economy. Our research hypothesis focuses on the paradox created by employers valuing employees’ time as a continuously acquired resource, resulting in increased “meaningless work”. This leads to stagnant labour productivity, requiring longer working hours as a solution. Empirical evidence confirms our hypothesis: in sectors involving material production and socially significant services, the limits of labour intensity and effort play a big role in reducing overall labour productivity. This happens independently of factors like capital and technology. On the other hand, in most commercial sectors like trade and various services, labour productivity steadily grows. These sectors efficiently use both intensive and extensive aspects of human effort per unit of time worked. The adverse impact of the proliferation of “meaningless work” is particularly noticeable in socially significant service industries, in the transport and warehousing sector in the United States. Through an examination of labour productivity trends across different sectors of the US economy, this study sheds light on the prospects of harnessing human potential within the context of structural adjustments.
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Elibox, Winston, and Pathmanathan Umaharan. "Genetic Basis for Productivity in Anthurium andraeanum Hort." HortScience 49, no. 7 (2014): 859–63. http://dx.doi.org/10.21273/hortsci.49.7.859.
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Anthurium andraeanum Hort. is an important tropical ornamental crop regarded as second only to orchids in its commercial importance. The genetic basis for productivity in anthurium was studied using parent–offspring regression analysis. Sixteen parental genotypes (4 years old) and 14 biparental progeny families (60 plants each, 4 years old) derived from the parents were used in the study. Yield expressed as number of cut flowers per plant per year (CFPY) was significant both between parental genotypes (P < 0.001) and between progeny families (P < 0.05). Mean CFPY of the parent genotypes was normally distributed and ranged from 4.8 in ‘Local Mina Red’ to 9.8 in ‘Kalapana’ with a mean of 7.5. CFPY in Year 1 was strongly correlated to that in Year 2 (Pearson’s r = 0.96; Spearman’s r = 0.93) and the broad sense heritability (H2) was high (87.6%) under controlled shadehouse conditions. CFPY in the progeny families varied from four to 14 with progeny means ranging from 5.7 in ‘Honduras/Local Mina Red’ to 7.2 in ‘Mirjam/Kalapana’. Progeny of seven and 10 crosses possessed mean CFPY greater than that of the more productive parent and the midparent values, respectively. The frequency distribution for productivity of the 840 progeny plants was skewed to the right with a modal class of six to seven. The correlation coefficient between progeny CFPY and midparent CFPY was large and significant (r = 0.90, P < 0.001). The regression of mean progeny CFPY on mean midparental CFPY was strong (y = 0.51x + 2.56; R2 = 0.81) with an estimated narrow sense heritability (h2) of 51.0%. A breeding strategy for improving per plant productivity based on the results is discussed.
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Sun, Zheng-Guo, Jie Liu, and Hai-Yang Tang. "Application of a new model using productivity coupled with hydrothermal factors (PCH) for evaluating net primary productivity of grassland in southern China." Solid Earth 8, no. 2 (2017): 545–52. http://dx.doi.org/10.5194/se-8-545-2017.
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Abstract. Grassland ecosystems play important roles in the global carbon cycle. The net primary productivity (NPP) of grassland ecosystems has become the hot spot of terrestrial ecosystems. To simulate grassland NPP in southern China, a new model using productivity coupled with hydrothermal factors (PCH) was built and validated based on data recorded from 2003 to 2014. The results show a logarithmic correlation between grassland NPP and mean annual temperature and a linear positive correlation between grassland NPP and mean annual precipitation in southern China, both highly significant relationships. There was a highly significant correlation between simulated and measured NPP (R2 = 0. 8027). Both RMSE and relative root mean square error (RRMSE) were relatively low, showing that the simulation results of the model were reliable. The NPP values in the study area had a decreasing trend from east to west and south to north. Mean NPP was 471.62 g C m−2 from 2003 to 2014. Additionally, the mean annual NPP of southern grassland presented a rising trend, increasing 3.49 g C m−2 yr−1 during the past 12 years. These results document performance and use of a new method to estimate the grassland NPP in southern China.
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Latta, Gregory, Hailemariam Temesgen, and Tara M. Barrett. "Mapping and imputing potential productivity of Pacific Northwest forests using climate variables." Canadian Journal of Forest Research 39, no. 6 (2009): 1197–207. http://dx.doi.org/10.1139/x09-046.
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Regional estimation of potential forest productivity is important to diverse applications, including biofuels supply, carbon sequestration, and projections of forest growth. Using PRISM (Parameter-elevation Regressions on Independent Slopes Model) climate and productivity data measured on a grid of 3356 Forest Inventory and Analysis plots in Oregon and Washington, we evaluated four possible imputation methods to estimate potential forest productivity: nearest neighbour, multiple linear regression, thin plate spline functions, and a spatial autoregressive model. Productivity, measured by potential mean annual increment at culmination, is explained by the interaction of annual temperature, precipitation, and climate moisture index. The data were randomly divided into 2237 reference plots and 1119 target plots 30 times. Each imputation method was evaluated by calculating the coefficient of determination, bias, and root mean square error of both the target and reference data set and was also tested for evidence of spatial autocorrelation. Potential forest productivity maps of culmination potential mean annual increment were produced for all Oregon and Washington timberland.
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Atkinson, Scott E., and Paul W. Wilson. "Comparing mean efficiency and productivity scores from small samples: A bootstrap methodology." Journal of Productivity Analysis 6, no. 2 (1995): 137–52. http://dx.doi.org/10.1007/bf01073408.
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Ejem, E. A. Ekeugo* C. U. Dike D. N. Chukwu O. Igboanusi C. C. and Erumaka O. "ANALYSIS OF DETERMINANTS OF AIRLINES PRODUCTIVITY IN NIGERIA DOMESTIC NETWORK." Global Journal of Engineering Science and Research Management 4, no. 12 (2017): 7–13. https://doi.org/10.5281/zenodo.1098664.
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This study set out to ascertain the determinants of the productivity of the Nigerian airline industry. The study superficially examined the extent of these determinant factors on airline productivity. In the study, quantitative techniques such as one simple t-test and Friedman’s rank test and were employed. The data used in the study were both secondary and primary data collected from the airline employees and customers (passengers) in selected airlines of MMA and Port Harcourt International airport in Nigeria, using structured questionnaires and oral interviews. The critical factor affecting airline productivity in Nigeria is Sincere and responsive attitude to passenger complaints, with a mean rank of 26.79. This is closely followed by Age of aircraft, with a mean rank of 26.09, and Technical qualities/success to complete a trip, with a mean rank of 24.68. The least factor in order of importance is prompt response of employees of the airline to your request or complaints, with a mean rank of 13.74. Hence certain factors are more critical to airline productivity in Nigeria.
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van der Linde, Just A., Judith E. Bosmans, Dirk P. ter Meulen, et al. "Direct and indirect costs associated with nonoperative treatment for shoulder instability: an observational study in 132 patients." Shoulder & Elbow 11, no. 4 (2018): 265–74. http://dx.doi.org/10.1177/1758573218773543.
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Background Shoulder instability is associated with decreased functioning. The associated costs could be substantial and interesting to clinicians, researchers, and policy makers. This prospective observational study aims to (1) estimate productivity losses and healthcare expenses following the nonoperative treatment of shoulder instability and (2) identify patient characteristics that influence societal costs. Methods One hundred and thirty-two patients completed a questionnaire regarding production losses and healthcare utilization following consecutive episodes of shoulder instability. Productivity losses were calculated using the friction cost approach. Healthcare utilization was evaluated using standard costs. analysis of variance test was used to assess which patient characteristics are related to productivity losses and healthcare expenses. Societal costs were assessed using multilevel analyses. Bootstrapping was used to estimate statistical uncertainty. Results Mean productivity losses are €1469, €881, and €728 and mean healthcare expenses are €3759, €3267, and €2424 per patient per dislocation for the first, second, and third dislocation. Productivity losses decrease significantly after the second (mean difference €−1969, 95%CI= −3680 to −939) and third (mean difference €−2298, 95%CI= −4092 to −1288) compared to the first dislocation. Conclusions Nonoperative treatment of shoulder instability has substantial societal costs. Level of Evidence III, economic analysis.
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Ami Rahmawati, Ita Yulianti, and Siti Nurajizah. "Image Segmentation Analysis Using Otsu Thresholding and Mean Denoising for the Identification Coffee Plant Diseases." Jurnal Riset Informatika 6, no. 1 (2023): 7–14. http://dx.doi.org/10.34288/jri.v6i1.261.
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In Indonesia, coffee is one of the plantation products with a relatively high level of productivity and is a source of foreign exchange income for the country. However, unfortunately, certain factors can threaten productivity and quality in cultivating coffee plants, one of which is rust leaf disease. This disease causes disturbances in photosynthesis, thereby reducing plant yields. Therefore, to maintain and control productivity in coffee cultivation, this research carried out the process of observing coffee leaf images through segmentation using the Otsu Thresholding and Mean Denoising methods. The entire series of processes in this research was carried out using the Python programming language and succeeded in providing output in the form of image comparisons showing areas affected by Rust Leaf disease using the Otsu thresholding method alone and the Otsu thresholding method combined with a non-local means denoising algorithm. The test results prove that the Otsu thresholding method with the non-local means denoising algorithm has a smaller MSE value. It is the most optimal method for handling coffee leaf disease image segmentation with an accuracy level of 88%. It is hoped that this research can support farmers in providing insight into early detection of coffee plant diseases and increasing productivity through visual analysis.
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Michael, I. E. Edaba. "The Nexus Between Farm Productivity, Financing, and Gender Equality: Evidence from Rural Arable Crop Farmers in South-South Nigeria." Global Journal of Economic and Finance Research 02, no. 04 (2025): 223–31. https://doi.org/10.5281/zenodo.15283362.
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<strong>ABSTRACT: </strong>One of the most essential and crucial considerations in the world today is how to afford adequate food for the over seven billion people in the globe. This paper examined the nexus between farm productivity, financing, and gender equality: evidence from rural arable crop farmers in South-South Nigeria. A multi-stage random sampling procedure was employed to select 284 respondents for the study. Primary data was analyzed using descriptive statistics such as frequency, percentage, and mean, as well as econometric models such as z-test and multiple regression. From the results, farmers in the formal credit sector enjoyed a substantially greater levels of farm productivity (with mean productivity level of 6.85) compared to their counterparts who depended on the informal credit sector for farm financing (with mean productivity level of 5.34). In the same vein, the mean level of productivity of male headed farmers and female headed farmers were 8.474 and 5.15 for formal financing category; and 6.377 and 4.972 for farmer categories who only access finance through the unregulated informal sector, implying that the male headed farmers were more productive than their female folks. Factors such as land area, labour, fertilizer-use, age and marital status were found to have significant effects on crop productivity in the study area. For farmers to become more resilient and viable, it is strongly recommended that government and all stakeholders make necessary financial investments to support farmers to obtain greater access to funding opportunities. Also, it is fundamental to ensure that farmers are not discriminated on gender basis when applying for loans and credit facilities.
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Mahasetha, Vinod Kumar. "Primary Productivity of Phytoplankton of Mahakali River, Nepal." BIBECHANA 14 (November 28, 2016): 98–102. http://dx.doi.org/10.3126/bibechana.v14i0.15988.
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Present paper describes primary productivity of Mahakali river at four stations. The two years mean of net primary production was 96.80 mgC/m3/day. The net primary production value of Mahakali river was less due to the low water temperature and less phytoplanktonic growth. Two years mean value of gross primary production of Mahakali river was 176.29 mgC/m3/day, which is less than lentic water. It shows that the river is oligotrophic but developing a tendency as going towards mesotrophic.BIBECHANA 14 (2017) 98-102
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Abdi, Nishtman, Reza Darvishzadeh, and Hatami Maleki. "Effective selection criteria for screening drought tolerant recombinant inbred lines of sunflower." Genetika 45, no. 1 (2013): 153–66. http://dx.doi.org/10.2298/gensr1301153a.
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In this study, seventy two sunflower recombinant inbred lines were tested for their yielding ability under both water-stressed and well-watered states. The inbred lines were evaluated in a rectangular 8?9 lattice design with two replications in both well-watered and water-stressed conditions, separately. Eight drought tolerance indices including stability tolerance index (STI), mean productivity (MP), geometric mean productivity (GMP), harmonic mean (HM), stress susceptibility index (SSI), tolerance index (TOL), yield index (YI) and yield stability index (YSI) were calculated based on grain yield for every genotype. Results showed the highest values of mean productivity (MP) index, geometric mean productivity (GMP), yield index (YI), harmonic mean (HM) and stress tolerance index (STI) indices for ?C134a? inbred line and least values of stress susceptibility index (SSI) and tolerance (TOL) for C61 inbred line. According to correlation of indices with yield performance under both drought stress and non-stress states and principle component analysis, indices including HM, MP, GMP and STI could properly distinguish drought tolerant sunflower inbred lines with high yield performance under both states. Cluster analysis of inbred lines using Ys, Yp and eight indices, categorized them into four groups including 19, 6, 26 and 19 inbred lines.
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Tsado, Sala, Lazarus, Nwaogazie, Ify L., and Ugbebor, John N. "A Comparative Analysis of Safety Programs and Employee Productivity in Oil and Gas Versus Construction Industries in the Niger Delta Region." Asian Journal of Advanced Research and Reports 18, no. 12 (2024): 10–24. http://dx.doi.org/10.9734/ajarr/2024/v18i12802.
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This study assesses the impact of safety programmes on employee productivity in selected Oil and Gas and Construction industries in the Niger Delta. A descriptive cross-sectional design was used, surveying 390 employees through structured questionnaire distributed online. Data analyses were conducted using IBM SPSS (version 26) and Xlstat (version 16), with reliability of constructs confirmed by Cronbach's alpha values between 0.630 and 0.916. Bartlett’s and Kaiser-Meyer-Olkin (KMO) tests established the suitability of Principal Component Analysis (PCA), and a Multiple Correspondence Analysis (MCA) explored the relationship between reward mechanisms for safety compliance across industries. The findings show that Management Commitment (MC) is highest in Oil and Gas (Multinational) companies (mean = 4.56), correlating with higher productivity (mean = 4.16), while Construction (Indigenous) companies score the lowest (mean = 3.49), with reduced productivity (mean = 4.05). Safety Participation (SP) and Safety Compliance (SC) are consistently strong across industries, particularly in Oil and Gas (Multinational), which also leads in Safety Promotional Policies (SPP) and Safety Training (ST), both linked to higher productivity. Safety Knowledge (SK) and Employee Involvement (EI) also show positive associations with productivity, especially in Multinational firms. In all, the study highlights that robust safety management practices, especially in Multinational Oil and Gas companies, significantly enhance employee productivity. Strengthening safety parameters like management commitment, compliance, and training is essential for improving productivity across industries. Given that the multinational companies in oil & gas and construction industries in Niger Delta are currently ahead of indigenous companies, it is recommended that indigenous companies should improve and invest in effective workplace safety programmes.
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Arshadi, Aram, Ezzat Karami, Behzad Khateri, and Payam Rezabakhsh. "Drought stress effects on the grain yield among different barley cultivars." Genetika 48, no. 3 (2016): 1087–100. http://dx.doi.org/10.2298/gensr1603087a.
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We examined commercial barley cultivars in two sequential growing season by including irrigation and rainfed conditions under a randomized complete block experimental design. There were positive and significant correlations between the yeild and either of the indices including Mean productivity (MP), Stress Tolerance Index (STI), Geometric Mean Productivity (GMP), Harmonic Mean Productivity (HMP), and Mean Relative Performance (MRP) in both irrigated and drought conditions. The PC1 and PC2 justified 94.86 and 94.44% of total variation in the first year and second year, respectively. According to 3-dimensional diagram and based on STI, genotypes 2, 3, and 8 in the first year and gentypes 4, 3, 8, and 2 in the second year were clustered together in group A, and therefore, called the most tolerant cultivars to drought stress.
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Enoch, David, and Tristram McPherson. "What do you mean “This isn’t the question”?" Canadian Journal of Philosophy 47, no. 6 (2017): 820–40. http://dx.doi.org/10.1080/00455091.2017.1312963.
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AbstractThis is a contribution to the symposium on Tim Scanlon’s Being Realistic about Reasons (2014). We have two aims here: First, we ask for more details about Scanlon’s meta-metaphysical view (about his notion of a domain, his criterion of existence, his ambition to remain ontologically thin, and on the role of pragmatic considerations in Scanlon’s picture), showing problems with salient clarifications. And second, we raise independent objections to the view – to its explanatory productivity, its distinctness, and the argumentative support it enjoys.
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Chiu, Kevin, Joanna P. MacEwan, Katalin Bognar, et al. "Estimating productivity losses for cancer patients and caregivers of cancer patients." Journal of Clinical Oncology 38, no. 15_suppl (2020): e19381-e19381. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.e19381.
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e19381 Background: Although cancer is a leading cause of illness in the United States, its true impact on productivity is poorly understood. Traditional approaches to capturing health-related productivity loss—e.g., the human capital method—focus on patients’ foregone wages, overlooking fringe benefits and the impacts incurred by caregivers and co-workers. Thus, the value of lost productivity is often underestimated. We sought to comprehensively estimate productivity loss incurred by working-age cancer patients and unpaid caregivers in the United States. Methods: We conducted a cross-sectional survey study of (i) non-small cell lung cancer (NSCLC) and breast cancer (BC) patients, and (ii) unpaid caregivers. To measure loss associated with absenteeism and presenteeism, participants reported pre- and post-cancer diagnosis income, hours worked, and time to complete tasks. The “multiplier effect” method was used to measure productivity loss incurred by co-workers due to patient or caregiver absenteeism and/or presenteeism. Exploratory multivariable analyses controlled for cancer type, stage, age, time since diagnosis, oncogene mutation status, and industry sector. Results: A total of 404 participants (104 BC, 100 NSCLC patients; 100 BC, 100 NSCLC caregivers) completed the surveys. Of these, 319 participants (162 BC, 157 NSCLC) who worked ≥40 weeks in the year pre-diagnosis and who did not transition from part- to full-time work after diagnosis were included in the analysis. Over a third of the NSCLC (33%) and BC (43%) patients left the workforce after diagnosis. For patients, estimated mean annual productivity loss equaled $123,792 (144% of mean income pre-diagnosis) for NSCLC and $123,502 (209% of mean income pre-diagnosis) for BC. For caregivers, the estimated mean annual productivity loss was $90,421 (108% of mean income pre-diagnosis) for NSCLC and $143,839 (190% of mean income pre-diagnosis) for BC. Exploratory analyses also found that patient age and stage at diagnosis were positively correlated with a greater absenteeism effect. Conclusions: This study found that traditional approaches, such as the human capital method, significantly underestimate productivity loss in cancer patients and caregivers. Holistic approaches that include lost wages, fringe benefits, and teamwork effects, are better approaches to understanding the amplified impact cancer can have for patients, caregivers, and co-workers.
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Chilcote, Mark W. "Relationship between natural productivity and the frequency of wild fish in mixed spawning populations of wild and hatchery steelhead (Oncorhynchus mykiss)." Canadian Journal of Fisheries and Aquatic Sciences 60, no. 9 (2003): 1057–67. http://dx.doi.org/10.1139/f03-092.
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The proportion of wild fish in 12 mixed populations of hatchery and wild steelhead (Oncorhynchus mykiss) was evaluated for its relationship to mean and intrinsic measures of population productivity. The population mean of ln(recruits/spawner) was used to represent mean productivity. Intrinsic productivity was represented by values for the Ricker a parameter as estimated from fits of spawner and recruit data. Significant regressions (p < 0.001) were found between both measures of productivity and the proportion of wild fish in the spawning population (Pw). The slopes of the two regressions were not significantly different (p = 0.55) and defined a relationship suggesting that a spawning population comprised of equal numbers of hatchery and wild fish would produce 63% fewer recruits per spawner than one comprised entirely of wild fish. Study findings were not sensitive to likely levels of data error or confounded by extraneous habitat correlation with Pw. Population status assessments and conservation monitoring efforts should include Pw as a critical variable. For natural populations, removal rather than addition of hatchery fish may be the most effective strategy to improve productivity and resilience.
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Lewensohn, Danielle, Ebba Sjögren, and Carl Johan Sundberg. "Does Productive Mean Active? The Behavior of Occasional and Serial Academic Inventors in Patenting Processes." Triple Helix 8, no. 1 (2021): 163–215. http://dx.doi.org/10.1163/21971927-bja10021.
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Abstract Previous literature has attributed differences in individuals’ inventive productivity to a range of environmental, organizational and individual traits. However, the behavior of individuals with different inventive productivity has not been empirically explored in detail. Based on interviews with twenty Swedish academic inventors of diverse patenting experience, this paper analyses how serial and occasional inventors acted in patent initiation, patent application and subsequent patent management for specific inventions. Two modes of behavior are identified: passive and active. Individuals’ inventive productivity was not aligned with behavioral mode, with both modes of behavior exhibited by occasional as well as serial academic inventors. Individual academic inventors also varied in mode of behavior across different patent processes. These findings suggest that commonly used volume-based classifications of academic inventors obscure potentially relevant behavioral differences. This insight has implications for contemporary policy and organizational practice. It also highlights the need for further investigation of when academic inventors assume an active or passive mode of behavior in processes of academic commercialization.
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Simonetti, Serena, Agus Saptoro, Claudia Fernández Martín, and Davide Dionisi. "Product Concentration, Yield and Productivity in Anaerobic Digestion to Produce Short Chain Organic Acids: A Critical Analysis of Literature Data." Processes 8, no. 12 (2020): 1538. http://dx.doi.org/10.3390/pr8121538.
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In order to make anaerobic digestion-based processes for short chain organic acid (SCOA) production attractive, the key performance variables, i.e., concentration, yield, and productivity of the produced SCOAs need to be maximised. This study analysed recent literature, looking for the effect of process operating parameters (feed concentration, pH, temperature, and residence time) on the performance variables. Data from 551 experiments were analysed. Mean values of the SCOA concentration, yield, and productivity were 10 g l−1, 32% (chemical oxygen demand (COD) COD−1), and 1.9 g l−1 day−1, respectively. Feed concentration and residence time had the most important effect. Higher feed concentration corresponded to higher product concentration and productivity, but to lower yield. The mean feed concentration was 109 gCOD l−1 and 19 gCOD l−1 in the experiments with the highest product concentrations and in the experiments with the highest yields, respectively. Shorter residence times corresponded to higher productivity. The mean HRT (hydraulic residence time) in the experiments with the highest productivities was 2.5 days. Sequencing batch reactors gave higher values of the performance variables (mean values 29 g l−1, 41% COD COD−1, and 12 g l−1 day−1 for product concentration, yield, and productivity, respectively) than processes without phase separation.
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Hinkel, J. M., J. L. Vandergrift, S. J. Perkel, M. B. Waldinger MHSA, W. Levy PA-C, and F. M. Stewart. "The impact of midlevel providers on productivity in outpatient oncology clinics at National Comprehensive Cancer Network (NCCN) institutions." Journal of Clinical Oncology 27, no. 15_suppl (2009): 6628. http://dx.doi.org/10.1200/jco.2009.27.15_suppl.6628.
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6628 Background: An ASCO workforce study has predicted an oncologist shortage by 2020. Increased reliance on mid-level providers (PA/NPs) has been proposed to ameliorate the physician shortage. However, no methods currently exist to assess the impact of PA/NPs as physician extenders in an oncology setting. Obtaining productivity data is challenging due to variations in PA/NP utilization and billing. NCCN developed a survey to evaluate the use of PA/NPs in cancer centers and to pilot test PA/NP productivity metrics in outpatient oncology clinics. Methods: An online survey instrument was developed in consultation with oncologists, executive administrators, and PA/NP leaders at NCCN institutions. It included questions on work characteristics, allocation of time and labor, and productivity. PA/NP outpatient clinic productivity was measured as the average number of new and follow-up patients seen per half-day clinic (patients per clinic, PPC). A convenience sample was obtained through 15 NCCN institutions that distributed the survey through their own internal PA/NP e-mail lists. Results: A total of 206 PA/NPs completed the survey. A greater proportion of respondents were NPs (54%) than PAs (46%). Most responding PA/NPs listed their primary specialty as medical oncology (MO, 34%), followed by hematologic malignancies/BMT (HM/BMT, 28%) and surgical oncology (SO, 23%). The highest reported productivity was observed for SO specialists (mean = 8.7 PPC, SD = 3.5), followed by MO (mean = 7.6, SD = 4.3), and HM/BMT (mean = 6.1, SD = 2.8). Within the SO and HM/BMT specialties, little difference was observed between NP and PA productivity. Among MO specialists, NPs reported seeing more follow-up patients per clinic (mean = 7.2, SD = 4.3) than PAs (mean = 5.5, SD = 2.7, p = 0.04). In most cases, productivity was unrelated to seniority. However, more experienced HM/BMT NPs were more productive with new patients (rs = 0.46, p = 0.03). Conclusions: Mid-level providers have a measurable impact on productivity in outpatient oncology clinics. Refining productivity metrics for PAs/NPs will help inform workforce projections and staffing decisions for oncology practices/specialists and cancer centers, especially in the face of future physician shortages. No significant financial relationships to disclose.
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Pilgaard, T., B. A. Esbensen, and S. E. Stallknecht. "PARE0006 WORK PRODUCTIVITY LOSS IN PATIENTS WITH INFLAMMATORY ARTHRITIS." Annals of the Rheumatic Diseases 79, Suppl 1 (2020): 1289.2–1289. http://dx.doi.org/10.1136/annrheumdis-2020-eular.1497.
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Background:Limited data exist of work productivity loss in patients with Rheumatoid Arthritis (RA), Psoreatic Arthritis (PsA) and Spondyloarthritis (axSpA).Objectives:The objective of this research was to assess productivity loss and absenteeism in patients with RA, PsA and axSpA.Methods:The study was designed as a cross-sectional study aimed to collect patient-reported outcomes from patients with RA, PsA and axSpA in Denmark via a nurse administered questionnaires and patient journals. Patients ≥18 years with RA, PsA or axSpA were consecutively recruited for the study over a 6-month period via routine visits to outpatient rheumatology clinics. Descriptive statistics were analyzed using SAS.Results:Of 488 respondents, 62% were women and mean age was 53.5 years (RA:57.4; PsA:52.6; axSpA:43.6). Average time since diagnosis was 11-15 years, however, for PsA and axSpA most patients answered 6-10 and 0-5 years, respectively. 280 (57%) answered that they had a job and completed the WPAI questionnaire (RA: 149 (51%); PsA: 48 (56%); axSpA: 83 (75%)). Average work hours was 31.9 in the last week (RA:31.2; PsA:33; axSpA:32.4). Average missed work hours were 4.3 in the last 7 days ((RA:4.0; PsA:4.2; axSpA:4.8), of which 32% was missed due to their inflammatory arthritis (RA:30%; PsA:38%; axSpA:32%). Mean absenteeism was highest for patients with PsA (mean=6.8; SD=17.7) followed by patients with axSpA (mean=5.4; SD=15.1) and with RA (mean=3.4; SD=12.2). Mean productivity loss was 20.5 (SD=23.8) for patients with RA, 27.6 (SD=25.8) for PsA and 26.3 (SD=25.8) for axSpAConclusion:We found that patients with PsA or axSpA miss more hours of work compared with patients with RA and when they are at work they have a higher absenteeism/lower productivity. This even though that both the group of patients with PsA and the axSpA were younger and had lived less time with their diagnosed disease compared with the group with RA.Disclosure of Interests:Trine Pilgaard Shareholder of: Pfizer, Employee of: Pfizer, Bente Appel Esbensen: None declared, Sandra Elkjær Stallknecht Consultant of: Pfizer
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Lukman, Jimoh Adams, Zi Jian Oh, Muhammad Azim Akmal bin Johani, et al. "The Role of Robotics-Driven Productivity, Profit, and Employee Satisfaction in Enhancing Sustainability in the Beverage Industry." Asian Pacific Journal of Management and Education 7, no. 3 (2024): 256–72. http://dx.doi.org/10.32535/apjme.v7i3.3541.
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This research examines the perceptions of individuals from diverse backgrounds regarding the role of robotics in the Coca-Cola industry, focusing on productivity, profitability, and employee satisfaction. The objective was to evaluate how robotics impacts organizational efficiency and sustainability in beverage manufacturing, especially Coca-Cola. A quantitative methodology was employed, utilizing a Google Form questionnaire distributed to 50 respondents from Malaysia, Indonesia, India, and Belarus. The survey assessed the perceived productivity, profitability, and satisfaction related to robotic integration in Coca-Cola's operations. Results indicated that respondents rated the productivity of robotics positively, with a mean score of 3.84, suggesting a strong perception of automation’s efficiency. Profitability was similarly viewed favorably, with a mean of 3.86, indicating that robotics contributes to organizational profitability. Employee satisfaction with robotics had a slightly lower mean score of 3.82, reflecting a neutral to positive outlook. In conclusion, robotics significantly enhances productivity and profitability in the beverage industry, while employee satisfaction, though important, has a secondary impact on sustainability outcomes
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Sanju, Pooja Rawat, Ajay Sharma, and Mohit Godara. "Forecasting of Productivity of Pulse Crops in India: A Nonlinear Approach." Current Journal of Applied Science and Technology 42, no. 15 (2023): 12–17. http://dx.doi.org/10.9734/cjast/2023/v42i154122.
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India is the world's top producer and consumer of pulse crops. Pulse crops are an essential source of protein, providing amino acids, vitamins, and minerals to supplement diets. These contain 22-24 percent protein, about twice as much as wheat. This research uses a non-linear growth approach to conduct an analytical evaluation of total pulse productivity in India from 1949-2020. For total pulse productivity in India, four different non-linear growth models were fitted: Logistic, Gompertz, Monomolecular, and Von Bertalanffy. Goodness of fit statistics such as Coefficient of determination, Root Mean Square Error, Mean Absolute Error, and Mean Absolute Percentage Error were used to choose the best model. The Logistic model was determined to be the best fit for productivity of total pulse crops grown in India, followed by the Gompertz model. Finally, the Logistic and Gompertz models were used to forecast India's total pulse productivity from 2020-21 to 2025-26.
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Kalra, Ricky R., and John R. W. Kestle. "An assessment of academic productivity in pediatric neurosurgery." Journal of Neurosurgery: Pediatrics 12, no. 3 (2013): 262–65. http://dx.doi.org/10.3171/2013.6.peds13112.
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Object Various bibliometric indices are now commonly used to assess academic productivity in medicine. Some evidence suggests that these measures are specific to subspecialty areas. The authors' goal was to measure the h index of academic pediatric neurosurgeons and compare it with previously reported results for academic neurosurgeons in general. Methods Programs with an Accreditation Council for Pediatric Neurosurgery Fellowships–approved fellowship were identified, and the h and g indices of each of their surgeons were calculated. These were correlated with academic rank and compared with published literature on academic neurosurgical departments. Results Seventy-two pediatric neurosurgeons had a mean h index of 16.6 and a mean g index of 29.5. Both indices increased with progressive academic rank. The rank-specific mean index for academic pediatric neurosurgeons was similar to that of neurosurgeons from academic departments in general. Conclusions Overall, the authors conclude that the h index metric is a reasonable measure of academic productivity in the pediatric neurosurgery arena that provides a robust measure of an individual's contribution to the pediatric neurosurgery literature. Like its counterpart in neurosurgery in general, the h index for pediatric neurosurgeons correlates with institutional rank. The h index calculation also reveals the productivity of the pediatric neurosurgeons to be on par with the productivity of neurosurgeons in general.