Sugarcane must be harvested at the time of maturity, known as the Period of Industrial Utilization (PIU). The PIU analysis is expensive and is performed in a laboratory by measuring an index defined as Total Recoverable Sugar (TRS). The fact is that harvesting is the most expensive stage in sugarcane production and decision-making in this segment depends on TRS level estimates. However, forecasting models aimed at replacing laboratory analyses do not meet the reality regarding the estimation of the TRS index. There is a great demand for tools capable of estimating the index and/or the factors that affect TRS. In this context, this article presents a case study whose objective is to apply statistical models to estimate the TRS index in the sugarcane production of a mill in the interior of São Paulo, Brazil. Variance Analysis (ANOVA) with one classification and Multiple Linear Regression (MLR) models are applied by using Minitab®. These models are based on covariates related to the TRS index to estimate the productivity of 48,151 plots from the 2016/2017 to the 2022/2023 harvests. It is shown that the adjusted models identify the most important covariates (5% significance level) that affect productivity and the TRS index. The accuracy is satisfactory for all covariates of the adjusted MLR model and for the coefficients that measure the proportion of data variability for productivity (76%) and the TRS index (55%). This article brings important contributions to the sugar and ethanol industries worldwide and in Brazil.

Training and productivity have been found positively correlated in theory and practice. The pattern of the relationship, however, was not explored in pre - and post-regulation in the conceived sector. This paper aims to observe the effects of regulation and training expenses along with other covariates on employee productivity in the Microfinance sector of Bangladesh. Using annual data of MRA-licensed MFIs, we have estimated both panel and cross-sectional regression models. The regression results confirm the theoretical relationship between training expenses and employee productivity. The regulation also worked positively in enhancing employee productivity. However, in the early stage of regulation, the average productivity gain due to regulation was substantial and was showing an increasing trend but then it declined and reached a constant level of about 4% - 5% each year. Between 2008 and 2011, both regulation and training positively contributed to the gains in average productivity of the employees. After 2012, there was a positive trend of average productivity elasticity of training expenses but there was a flat effect of regulation after 2012. Regulation was found to short-run shifter in the average productivity of employees while training expenses had a positive trend effect.

The role of the clove industry in Indonesia's economy is crucial, as it makes a substantial contribution to the GDP and export figures. Despite experiencing growth overall, clove farmers face various challenges such as price fluctuations, climate change impacts, and limited market access. By analyzing data spanning from 2014 to 2021, this research anticipates a continuous increase in production levels but foresees a decrease in export numbers. Proposed policy measures include providing financial assistance, promoting education, enhancing infrastructure, developing markets, and ensuring environmental sustainability. It is crucial to focus on credit availability, incentives, and subsidies, while also improving agricultural education, infrastructure, and sustainable farming methods. A comprehensive approach across eight key policy areas is necessary to strengthen the clove industry in Indonesia. By addressing these challenges holistically, the clove sector can look forward to a resilient and sustainable future, maintaining its importance in the country's economic landscape.

The poor maintenance and usage of the equipment and machines of a vegetable oil manufacturing company adversely affect its competitive advantage. These industries are faced with numerous equipment maintenance challenges in the path to increasing their throughput as well as profitability. To address the said maintenance challenges, process data were obtained for the Overall Equipment Effectiveness (OEE) factors after their Total Productive Maintenance (TPM) implementation in the company. Minitab 21 software was used to analyze the data collected, and the results showed that the mean for quality, availability, and performance obtained were 96.929%, 63.35%, and 61.20%, respectively. This shows that the quality of products is the greatest OEE factor that vegetable oil manufacturing companies must consider meticulously to reduce the six big losses in their production processes. Response Surface Method (RSM) with Central Composite design, with the application of Design Expert 13 software, was used to model, analyze, and optimize the Overall Equipment Effectiveness (OEE) using availability, quality, and performance as the input parameters. The analysis of both the actual and coded values, which is the main contribution of the study, showed that quality has the greatest value followed by availability and performance. It was found that, to effectively reduce the six big losses, the quality, performance, and availability should be targeted as 98.3052%, 81.6022%, and 80.103%, respectively.

This study investigated the effect of strategic planning and total quality management practices on organisational productivity. This study employed a quantitative approach using Jamovi software. Sample data were collected from 167 respondents who are in Tanzania Zambia Railway Authority (TAZARA) management using a structured-questionnaire. Model fit and construct validity were checked using confirmatory factor analysis and correlation matrix while mediation analysis was carried out using GLM procedure. The results of study present that strategic planning has a significant effect on productivity. The results also indicate that customer focus and important innovation foster organizational productivity and partially mediate the relationship between strategic planning and productivity. The study also shows that education and training has no significant effect on productivity and does not mediate strategic planning and productivity association.

Small and Medium Enterprises (SMEs) play a crucial role in the Indian economy. To remain competitive in the global market, application of Lean Manufacturing Techniques (LMT) helps SMEs to improve their processes in alignment with customer needs. The purpose of this study is to reduce overall lead time by identification and eliminating non-value added activities (NVA) from the manufacturing system. In this paper, the current manufacturing processes have been thoroughly studied using the principle of work study. Several lean approaches such as- TAKT time computation, Value stream Mapping (VSM), layout optimization, Kanban, Andon etc. have been used to make improvement in line efficiency and hence productivity. The study shows that use of line balancing technique, matches the cycle time with calculated TAKT time. And the efficiency of the line has increased approx 10% and hence balance delay got reduced. Again VSM helps to reduce the lead time of foundry shops by 51 minutes. It is one of the few studies that deal with productivity improvement in Indian SME.

Job insecurity has evolved in a wide range of phenomena that have been little addressed in the academic literature. One of these phenomena is to observe how the implementation of labor legislation within an economic crisis affects the perception of job insecurity. Thus, this research proposes that organizational justice, organizational support, and employability become three explanatory dimensions that shape job insecurity in the face of a change in labor legislation during an economic crisis. Through a survey of 205 employees of private companies in Puerto Rico and analyzing the data through PLS-SEM, the study demonstrates and supports new literature on how each variable considered affects perceptions of job insecurity and the productivity of human capital in the face of a change in labor legislation, a topic little addressed in the academic literature.

Hospitality industry always looks for the exhibition of positive emotions from employees’ side and employees display it through suppressing negative emotions (surface acting) or expressing positive emotions (deep acting). The aim of this study is to examine the impact of emotional labor strategies on emotional exhaustion of employees through moderating effect of perceived organizational support. The study uses a sample of 190 employees of chain hotels situated in Lahore, Pakistan. Results concludes that hotels in hospitality sector should value the emotions of frontline employees to prevent them from getting emotionally exhausted, so they could serve the customers’ productively. Similarly, if organizations develop a mechanism and system that enhance the positive perception of organizational support among employees, it will decrease the adverse consequences of emotional labor. This research could be carried out in other service sectors like education, health, banking, airlines etc. where frontline employees matter a lot for organizational image.

The objective of the study is to investigate the mediating role of the productivity of the banks sector in Jordan based on the relationship between human resources and strategic performance from the point of view of the senior management managers and functional unit managers (human resources, marketing, finance and accounting). Human resources were measured through human resource activities. The population of the current study represented all the commercial banks in Jordan, the total number of which is 26. A survey questionnaire is prepared based on the published literature, and the data are collected from 371 respondents from the targeted banks. The necessary tests to ensure reliability and validity are performed using SPSS. The results indicate that human resources positively affected strategic performance and productivity. The findings also revealed that productivity positively mediated the relationship between human resources and the commercial banks' strategic performance.

This research was conducted to test the model of strategic human resource management as a competitive advantage in the construction industry specially to identify factors related to achieving competitive advantage in this industry. The empirical data were drawn from 174 construction companies in Indonesia using questionnaire method. Structural Equation Modeling techniques was used to analyze the conceptualized relationship model. The empirical results reveal that competitive advantage in the construction industry in Indonesia could be achieved through human resource management practices to build and improve a safety culture which would increase employee productivity. Companies must integrate human resource management practices with safety culture as a priority strategy of the company since based on empirical result, safety culture can be a source of competitive advantage for construction companies in Indonesia. Future studies can use these strategic human resource management models in different industry sectors by adding a number of samples so that the results could be generalized.