Search results

Purpose – This study aims to determine the results of productivity index, profitability and improvement of company prices and to understand the relationship between partial input factors and productivity, profitability, and price fixing.

Design/Methodology/Approach – In this work, the productivity at the palm oil factory PT Sayaukath Sejahtera was measured and evaluated by using The American Productivity Center (APC) model approach.

Findings/Results – The results showed that each index that has been analyzed has a 5.143% decrease in the productivity index per year with a profitability equal to 0.286% per year and an increase in the price improvement index of 5.143% per year. Thus, it is concluded that from each index that has been analyzed, there is a decrease in the productivity index and profitability per year and there is an annual increase in the price improvement index.

Research Limitations/Implications (if applicable) –

Practical Implications (if applicable) –

Originality/Value –

Insufficient productivity development in the global and Finnish infrastructure sectors indicates that there are challenges in genuinely achieving the goals of resource efficiency and digitalization. This study adapts the approach of capability maturity model integration (CMMI) for examining the capabilities for productivity development that reveal the enablers of improving productivity in the infrastructure sector.

Civil engineering in Finland was selected as the study area, and a qualitative research approach was adopted. A novel maturity model was constructed deductively through a three-step analytical process. Previous research literature was adapted to form a framework with maturity levels and key process areas (KPAs). KPA attributes and their maturity criteria were formed through a thematic analysis of interview data from 12 semi-structured group interviews. Finally, validation and refinement of the model were performed with an expert panel.

This paper provides a novel maturity model for examining and enhancing the infrastructure sector’s maturity in productivity development. The model brings into discussion the current business logics, relevance of lifecycle-thinking, binding targets and outcomes of limited activities in the surrounding infrastructure system.

This paper provides a new approach for pursuing productivity development in the infrastructure sector by constructing a maturity model that adapts the concepts of CMMI and change management. The model and findings benefit all actors in the sector and provide an understanding of the required elements and means to achieve a more sustainable built environment and effective operations.

The purpose of this study is to compare the competition and productivity of the US freight rail transportation industry for the past 41 years (1980 ∼ 2020), which consists of the two periods, before and after the abolishment of the Interstate Commerce Commission (ICC) in 1995.

This study investigates any relationships between the market concentration index values and labor productivity values in the separate two periods, and how the existence of a regulatory body in the freight transportation market impacted the productivity of the freight rail transportation industry by using a Cobb–Douglas production function on annual financial statement data from the US stock exchange market.

This study found that, after the abolishment of the ICC: (1) the rail industry became less competitive, (2) even if the rail industry had an increasing labor productivity trend, there was a strong negative correlation between the market concentration index and labor productivity and (3) the rail industry’s total factor productivity was decreased.

This study is to find empirical evidence of the effect of the ICC abolishment on the competition and productivity levels in the US freight rail transportation industry using a continuous data set of 41-year financial statements, which is unique compared to previous studies.

This study investigates the moderating effect of CEO power on the relationship between labor productivity and financial performance in the Tehran Stock Exchange (TSE).

In this study, the power of the CEO variable was measured using the power index method and its effect on the relationship between labor productivity and financial performance was tested using a multivariate regression. The study sample consisted of 1,040 observations and 130 firms listed on the TSE over an eight-year period between 2012 and 2019. Panel data and appropriate statistical techniques were applied to estimate models. In this study, Tobin’s Q and return on assets (ROA) are the two variables used to measure financial performance.

The results of the hypotheses show that the link between labor productivity and financial performance based on Tobin’s Q and ROA strengthens with increasing CEO power. Thus, the stewardship theory is approved on the TSE. In addition, CEO power and labor productivity have a positive impact on firm performance.

To the best of the author’s knowledge, this is the first study to examine the moderating impact of CEO power on the relationship between labor productivity and firms' financial performance in emerging capital markets. Therefore, the results of this study can be used by investors, board of directors, policymakers and regulations.

Taking into consideration the sanctions on Iran's economy during the study period and to increase the productivity and financial performance of the company, the results of this study can provide a practical guide for the board of directors to consider the characteristics of CEO power and how to choose it in the emerging capital market. Additionally, the study results show that investors should choose companies with strong CEO to invest in the Iranian capital market.

The current study is the first study conducted in an emerging economy to examine the moderating impact of CEO power on the link between labor productivity and financial performance.

The aim of this article is to research on forestry green total factor productivity and explore the impact of financial support on forestry green total factor productivity.

The methods used in this study are super efficiency SBM model of undesired output and empirical model. SBM model is a kind of Data Envelopment Analysis (DEA). The SBM model with non-expected outputs (slacks-based measure) can be used to deal with the problem of efficiency measurement with multiple input and output variables and can be used to analyze the efficiency of green development of forestry economy.

First, the overall green total factor productivity of the authors’ country's forestry has shown a trend of first decline and then an increase from 2008 to 2018, and there are significant spatiotemporal differences; second, financial support has a significant positive impact on forestry green total factor productivity; third, environmental regulation has a significant threshold effect in the process of financial support on forestry green total factor productivity, and the role of financial support shows a trend of first increasing and then decreasing.

Secondly, taking the data of 30 provinces and cities in the authors’ country from 2008 to 2018 as the research object, using the super-efficiency SBM-Malmquist index to measure the country's forestry green total factor productivity and analyze its temporal and spatial changes; finally, a dynamic panel model was established to explore the impact of financial support on forestry green total factors quantitative impact on productivity, and adding environmental regulation as a threshold variable to establish a dynamic threshold regression, and found that financial support has a nonlinear impact on forestry green total factor productivity.

The results of this study have significant policy implications for charting a new course toward enhancing agricultural productivity among Chinese farmers.

By establishing a rural household decision-making model based on the transfer market of farmland operation rights, this paper systematically analyzes the effects of land transfer-in and land transfer-out on the productivity (per labor income) of rural households. The authors conducted basic regression analysis and robustness tests using propensity score-matching and proxy variable approaches based on the micro survey data from rural households in 30 counties in 21 provinces/municipalities/autonomous regions in 2013.

After the completion of land transfer, the total productivity of rural households transferring in lands will increase with an increase in the agricultural productivity; the total productivity of rural households transferring out land will increase due to a rise in non-agricultural productivity and the absolute total productivity of rural households not involved in land transfer will remain unchanged.

Unlike previous literature, this paper discusses the impacts of land transfer-in and transfer-out on total productivity, agricultural productivity and non-agricultural productivity among various rural households (i.e. those transferring in land, transferring out land or which are self-sufficient).

The concept of productivity is central to performance management and decision-making, although it is complex and multifaceted. This paper aims to describe a methodology based on the use of Big Data in a cluster analysis combined with a data envelopment analysis (DEA) that provides accurate and reliable productivity measures in a large network of retailers.

The methodology is described using a case study of a leading kitchen furniture producer. More specifically, Big Data is used in a two-step analysis prior to the DEA to automatically cluster a large number of retailers into groups that are homogeneous in terms of structural and environmental factors and assess a within-the-group level of productivity of the retailers.

The proposed methodology helps reduce the heterogeneity among the units analysed, which is a major concern in DEA applications. The data-driven factorial and clustering technique allows for maximum within-group homogeneity and between-group heterogeneity by reducing subjective bias and dimensionality, which is embedded with the use of Big Data.

The use of Big Data in clustering applied to productivity analysis can provide managers with data-driven information about the structural and socio-economic characteristics of retailers' catchment areas, which is important in establishing potential productivity performance and optimizing resource allocation. The improved productivity indexes enable the setting of targets that are coherent with retailers' potential, which increases motivation and commitment.

This article proposes an innovative technique to enhance the accuracy of productivity measures through the use of Big Data clustering and DEA. To the best of the authors’ knowledge, no attempts have been made to benefit from the use of Big Data in the literature on retail store productivity.

This paper aims to answer the question of the future of work-from-home (WFH) from the position of productivity and employee well-being. In this research, the authors studied the future of WFH by analyzing perceived home productivity and work–life balance (WLB) in the WFH environment. This paper attempts to say that WFH is here to stay, and business leaders should acknowledge this fact and adjust their strategy.

The authors used a heterogeneous sampling method, surveying 1,157 employees in Mexico on productivity and WLB. The authors did three independent interventions in different pandemic stages: beginning – in 2020, peaking – in 2021, and calming down – in 2022. The authors used contingency table analysis to research the influence of perceived productivity and WLB in WFH on employees’ propensity to WFH.

The results show that employees perceive productivity the same or higher when WFH and WLB same or better. The findings of this study are a wake-up call for managers who refuse to embrace changes in employees’ perceptions and needs. Companies refusing to acknowledge the existing need for WFH may face significant challenges in terms of employee satisfaction and retention.

This study contributes to the broader literature by addressing whether WFH is here to stay. The dynamics of returning to office vary from country to country, industry to industry and business to business. This paper is an answer to the future of WFH for Mexico and the Latin American region.

Este artículo tiene como objetivo responder a la pregunta sobre la relevancia del futuro del trabajo desde casa (WFH por sus siglas en Inglés) desde la perspectiva de la productividad y el bienestar de los colaboradores. En esta investigación, se estudia el futuro del trabajo desde casa analizando la productividad percibida y el equilibrio entre la vida laboral y personal en el entorno del trabajo desde casa. Este documento intenta decir que el trabajo desde casa llegó para quedarse y que los líderes empresariales deberían reconocer este hecho y ajustar sus estrategias.

Se ha utilizado un método de muestreo heterogéneo, encuestando a 1157 colaboradores que trabajan en México sobre el tema de productividad y balance vida-trabajo (WLB por sus siglas en Inglés). Se realizaron tres intervenciones independientes en diferentes etapas de la pandemia del COVID-19: al inicio (2020), un año despúes que fué el pico (2021) y finalmente cuando está a la baja y en calma (2022). Se utilizaron diversas herramientas estadísticas como el análisis de tablas de contingencia para investigar la influencia de la productividad percibida y el WLB en el trabajo desde casa en los colaboradores que son propensos a trabajar desde casa.

Los resultados muestran que los colaboradores perciben la productividad igual o mayor cuando trabajan desde casa y el balance vida-trabajo son iguales o en ocasiones mejores. Los hallazgos de este estudio son para llamar la atención de los directivos y gerentes que se niegan a aceptar que han existido cambios y ajustes en las percepciones y necesidades de los colaboradores en las maneras de realizar el trabajo. Las empresas que se niegan a reconocer la necesidad existente de trabajar desde casa pueden enfrentar desafíos importantes en el corto plazo en términos de satisfacción y retención de los empleados.

Este estudio contribuye para ampliar la literatura y poder abordar el tema de las modalidades de trabajo, en particular para profundizar si el trabajo desde casa (WFH) llegó para quedarse. Así mismo, se puede mencionar que la dinámica del regreso a las oficinas puede variar de un país a otro, de una industria a otra y de una empresa a otra, ofreciendo una variedad de reflexiones y puntos de vistas, finalmente este documento es una respuesta a la reflexión sobre el futuro del trabajo, los beneficios del trabajo en casa para México y para la región de LATAM.

Este artigo pretende responder à questão sobre a relevância do futuro do trabalho a partir de casa (WFH, Work from home, por suas siglas em inglês) na perspetiva da produtividade e do bem-estar dos colaboradores. Nesta investigação, o futuro do trabalho a partir de casa é estudado através da análise da produtividade percebida e do equilíbrio entre vida pessoal e profissional no ambiente de trabalho a partir de casa. Este artigo tenta dizer que o trabalho a partir de casa veio para ficar e que os líderes empresariais devem reconhecer este facto e ajustar as suas estratégias.

Foi utilizado um método de amostragem heterogêneo, pesquisando 1.157 funcionários que trabalham no México sobre o tema produtividade e equilíbrio entre vida profissional e pessoal (WLB). Foram realizadas três intervenções independentes em diferentes fases da pandemia da COVID-19: no início (2020), um ano após o pico (2021) e finalmente quando estava em declínio e calma (2022). Várias ferramentas estatísticas, como a análise de tabelas de contingência, foram utilizadas para investigar a influência da produtividade percebida e do WLB no trabalho em casa em funcionários propensos a trabalhar em casa.

Os resultados mostram que os colaboradores percebem uma produtividade igual ou superior quando trabalham a partir de casa e que o equilíbrio entre vida pessoal e profissional é igual ou por vezes melhor. Os resultados deste estudo são para chamar a atenção de diretores e gestores que se recusam a aceitar que tenham havido mudanças e ajustes nas percepções e necessidades dos funcionários nas formas de fazer o trabalho. As empresas que se recusam a reconhecer a necessidade existente de trabalhar a partir de casa podem enfrentar desafios significativos a curto prazo em termos de satisfação e retenção dos colaboradores.

Este estudo contribui para ampliar a literatura e poder abordar a questão das modalidades de trabalho, em particular para aprofundar se o trabalho em casa (WFH) veio para ficar. Da mesma forma, pode-se mencionar que a dinâmica de retorno aos escritórios pode variar de um país para outro, de uma indústria para outra e uma empresa para outra, oferecendo uma variedade de reflexões e pontos de vista. Em última análise, este documento é um resposta. para refletir sobre o futuro do trabalho, os benefícios de trabalhar em casa para o México e a região LATAM.

The sustainability of the construction industry is associated with the productivity, profitability and competitiveness of the firms, which are significantly affected by inefficient site supervision and labour management approaches. This study aims to use a case study with mixed methods to evaluate the site supervisory characteristics in labour management, labour performance assessment and labour productivity measurement towards developing meaningful guidelines in polishing construction supervision attributes.

Well-developed modern apprenticeship elements were applied to 62 construction supervisors who were selected using the snowball sampling method, and their relevant competency characteristics were assessed using a comprehensively developed grading mechanism connected with useful training manuals/tools. Academic reviews, experts’ consultations and other meticulous mixed approaches were applied at different stages of the research plan’s sequential layout.

The mean performance scores of supervisors indicate proficient-level grades in the competency characteristics related to applying efficient labour management procedures and developing-level grades in designing productivity measurement tools, performing assessments on efficiency and productivity and proposing enhancement practices on efficiency and productivity for site operations. The findings point to a modern generalised guideline that establishes the ranges of supervisory attributes within the scope of the study. The validity, reliability, adaptability and generalisability of the findings were assured by using pertinent statistical tests and professional assessments.

Though the study’s conclusions/findings are primarily applicable to the construction environment of a developing country comparable to the Sri Lankan context, they will considerably impact current/future industrial practices in various other countries and emerging industries.

The research has produced a conceptualised modern tool that guides determining the capacity levels of supervisory attributes for carrying out labour management, labour performance assessment and labour productivity measurement aspects in construction. The research has opened a pump that inflows new values of highly workable supervision features for strengthening the site management structures and filling the industry’s knowledge vacuum in the methodical execution of apprenticeships.

This study investigates the effect of managerial ability on labor productivity by analyzing various methods in the firm-year panel data of listed firms in South Korea from 2002 to 2019. Managerial ability was analyzed using the measurement method of Demerjian et al. (2012), while labor productivity was analyzed using value-added and sales. The authors find that managerial ability has a positive effect on labor productivity. In other words, the productivity of employees improves with the appointment of a manager with higher abilities. The study’s findings suggest that firms should consider managerial ability as a means of improving labor productivity.