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A systems perspective of waste management allows an integrated approach not only to the five basic functional elements of waste management itself (generation, reduction, collection, recycling, disposal), but to the problems arising at the interfaces with the management of energy, nature conservation, environmental protection, economic factors like unemployment and productivity, etc. This monograph separately describes present practices and the problems to be solved in each of the functional areas of waste management and at the important interfaces. Strategies for more efficient control are then proposed from a systems perspective. Systematic and objective means of solving problems become possible leading to optimal management and a positive contribution to economic development, not least through resource conservation. India is the particular context within which waste generation and management are discussed. In considering waste disposal techniques, special attention is given to sewage and radioactive wastes.

Work crew productivity and the application of limited resources are necessary elements in construction duration delay analysis. This study thus proposes a method to analyze construction delays and resource reallocation based on work crew productivity and resource constraints. The study also presents an economic feasibility analysis that maximizes economic effect by reducing construction duration, the cost of resource reallocation, delay liquidated damages (DLDs) and incentives for reducing contractual duration.

The proposed method involved three steps. First, work crew characteristics such as productivity, unit price and workload helped analyze delay information, including delay duration, reducible duration and daily reduced cost. Next, a goal programming method assessed resource reallocation based on the priority (as determined by decision-makers) of each constraint condition, such as the available number of workers, cost, goal workload and statutory working hours. Lastly, the level of reallocation was analyzed based on the results of the economic feasibility analysis and decision-makers’ delay attitudes.

A case study was performed to test the proposed method's applicability. Its involved sensitivity analysis indicated proposing to decision-makers a scenario based on the prioritization of economic feasibility. The proposed method's applicability proved high for decision-makers, as they can determine whether to reduce construction duration per the proposed data.

The proposed method's main contribution is the reallocation of resources to reduce construction duration based on work crew productivity and the prioritization of limited resources. The proposed method can analyze the differences in productivity between the plan and actual progress, as well as calculate the necessary number of workers. Decision-makers can then reduce the appropriate level of contractual duration based on their own delay attitude, constraint condition prioritization and results from daily economic feasibility analyses.

This study aims to investigate the impact of skills and knowledge of employees, economic situations of the company, current IT infrastructure, payment fashion, cloud availability, and cloud privacy and security on the productivity of the human resources in the COVID-19 era.

Over the past few years, the advent of cloud-assisted technologies has dramatically advanced the Information Technology (IT)-based industries by providing everything as a service. Cloud computing is recognized as a growing technology among companies around the world. One of the most critical cloud applications is deploying systems and organizational resources, especially systems whose deployment costs are high. Manpower is one of the basic and vital resources of the organization, and organizations need an efficient workforce to achieve their goals. But, in the COVID-19 era, human resources' productivity can be reduced due to stress, high labor force, reduced organizational performance and profits, unfavorable organizational conditions, inability to manage and lack of training. Therefore, this study tries to investigate the productivity of human resources in the COVID-19 era. Data were collected from the medium-sized companies through a questionnaire. Distributed questionnaires were conducted on the Likert scale. The model is assessed using the structural equation modeling technique to examine its reliability and validity. The study is a library method and literature review. A case study was conducted through a questionnaire and statistical analysis by SPSS 25 and SMART-PLS.

Based on the findings, the skills and knowledge of employees, the economic situations of the company, payment fashion, cloud availability and the current IT infrastructures of the company have a positive impact on human resource efficiency in the COVID-19 era. But cloud privacy and security have a negative effect on the productivity of human resources. The findings can be the basis for companies and organizations in the COVID-19 era.

This study has some restrictions that need to be considered in evaluating the obtained results. First, due to the prevalence of Coronavirus, access to information from the companies under study was limited. Second, this research may have overlooked other variables that affect human resource productivity in the COVID-19 era. Prospective researchers can examine the impact of Customer Relationship Management (CRM) and Supply Chain Management (SCM) on the human resource's productivity in the COVID-19 era.

The results of this research are applicable for all companies, their departments and human resources in the COVID-19 era.

In this paper, human resources' productivity in the COVID-19 era is pointed out. The presented new model provides a complete framework for investigating cloud-based enterprise resource planning systems affect the productivity of human resources in the COVID-19 era.

Existent literature suggests that Africa is heavily endowed with agriculture resources and entrepreneurship remains an important mechanism for promoting national productivity and other economic outcomes. Despite these, empirical evidence on how agriculture resources promote the effect of entrepreneurship on national productivity in Africa is nonexistent given the abundance of agriculture resources and the need for Africa to increase its productivity, which has implications for improving welfare. Hence, this study aims to examine the interplay of how agriculture resources and entrepreneurship influence national productivity by way of exploring for threshold and complementarity effects of agriculture resources in Africa.

This uses panel data of 29 Africa economies between 2006 and 2016 in a bootstrap quantile regression model.

First, it is reported that initial levels of agriculture resources in the form of crop and arable lands reduce national productivity while the extreme increase in agriculture resources promotes national productivity in Africa. This implies a nonlinear direct U-shape effect of agriculture resources on national productivity indicating that the enhancing effect of agriculture resources on national productivity is only achieved beyond a certain threshold of average agriculture resources. Second, agriculture resources complement entrepreneurship (which initially reduced national productivity) to promote national productivity. This implies that there is a synergetic-complementarity relationship between entrepreneurship and agriculture resources on national productivity.

These findings suggest that governments that are interested in boosting national productivity through agriculture resources may have to commit more financial resources to develop and reclaiming more agriculture resources (in the form of crop and arable lands) given that some threshold of agriculture resources are needed to promote national productivity. Similarly, developing agriculture resources by policymakers can help complement entrepreneurship to further improve the effects of entrepreneurship on national productivity.

This study attempts to present first-time evidence on the interplay between agriculture resources and entrepreneurship on national productivity by way of exploring for threshold and complementarity effects of agriculture resources in Africa.

This paper aims to examine the effect of natural resources on the national productivity of high and low globalized economies in Africa.

This study uses two-step generalized method of moments dynamic panel data of 30 African economies between 2006 and 2016 to achieve the purpose of the study.

The results suggest that natural resources promote productivity within African economies regardless of the level of globalization. However, while natural resources have an overall enhancing effect on national productivity in both high and low globalized economies, the enhancing effect varies according to the forms of globalization. The findings of this study suggest that globalization can alter the nexus between natural resources and national productivity in Africa. The results imply that African Governments and their related policymakers can rely on globalization to promote the effect of natural resources on productivity of African economies.

This result is good and welcoming news, especially when natural resources in Africa have been described by prior studies as a curse to the continent. While globalization can be a tool for policymakers in Africa to deploy the positive effect of natural resources on national productivity, they might as well be careful as to which form of globalization they pursue, given that different forms and different levels or extent (high or low) of globalization yields different results on the nexus between natural resources and national productivity.

To the best of the authors’ knowledge, this study is the first of its kind to examine how natural resources affect national productivity in high and low globalized economies, especially in Africa.

The purpose of this study is to more closely examine the trait antecedents and outcomes of frontline employee productivity propensity. The study is the first to use a job demands-resources perspective on productivity propensity and it reveals that the inclusion of the construct into service worker personality studies significantly improves the explanatory ability of hypothesized models.

The study follows a job demands-resources perspective and uses an empirical study that included two subsamples: banking and health care. Path analyses were performed using two-group modeling to test the hypotheses. Mediation and hierarchical regressions were also used.

The findings indicate that the conscientiousness trait has a consistent effect on productivity propensity. More importantly, the findings reveal that productivity propensity influences role ambiguity, job satisfaction and self-rated service performance and that the addition of the construct into personality studies significantly improves the explanatory ability of personality models.

This study presents further evidence that productivity propensity is an important construct in services research. Beyond previously established influences on bottom-line service productivity and manager-rated work performance, the current work indicates that it also influences FLE stress, engagement and work outcomes.

Managers work under pressures to ensure service productivity and are well aware of the importance of selecting job applicants who will fit the service role. This study provides additional evidence that the productivity propensity work resource should be considered when selecting employees. The work also suggests that customer workload and the standardization of the service environment impacts the influence of productivity propensity on service outcomes.

Given the importance of transformative service experiences that uplift the experiences of consumers and employees, the productivity propensity of frontline service employees not only impacts the ability of the employee to satisfy customer needs, but also leads the employee to experience increased job satisfaction.

This work is the first work to consider the effects of productivity propensity from a job demands-resources perspective and, as such, the first to examine the influence of the construct on job satisfaction and service delivery.

The current paper's goal is to examine the productivity of the closed banking sector evidenced from Ethiopia. In addition, the inclusion of intangibles on productivity was examined in the current paper.

First, the standard Malmquist Productivity Index (MPI) was employed for 13 commercial banks for both stages. Second, by excluding the state-owned commercial bank, the analysis employed a bootstrapped MPI for the robust and comprehensive conclusion. Furthermore, from 2010 to 2019, the fixed effect Ordinary Least Square (OLS) regression with balanced panel data was used.

The standard MPI in both stages shows that the productivity of Ethiopian commercial banks is declining. The technological shock was the main reason for the loss. The catch-up in both stages scored above unity, mainly due to the pure efficiency change. Besides, when combined with tangible resources, the inclusion of resource-based view (RBV) proxy variables reduces technological shock regress and ultimately improves productivity change. The bootstrapped MPI also reveals that technological shock is the primary source of the productivity decline. However, efficiency change also contributes to the productivity decline based on this estimation.

Future research could examine the more extensive productivity analysis by considering the primary sources of data collections for resource-based variables.

According to the study's results, banking regulatory authorities and bank management, including the shareholders, should continue to invest in cutting-edge technology to improve the productivity of the banking sector.

This is the first comprehensive study of productivity for Ethiopian commercial banks based on the standard MPI, bootstrapped MPI, and OLS by incorporating all resources into the analysis.

Extending the work of Bayou (2001), we empirically investigate the relationship between firm size and resource productivity to assess whether the productivity of resources (value in use) and their underlying value at sale (value in sale) vary with firm’s size.

We use seemingly unrelated regression of revenues and equity values on assets and employees for a large sample over a wide time period and across all industries. We compare companies that are growing, declining, or continuing in size relative to their industry.

With some variability on growth, we find that smaller companies hold more productive resources based on their capacity to generate more revenues per unit of resources (assets) relative to large companies. Further, as predicted, a firm’s workforce has productive value in use, but limited value after a firm’s sale as measured by equity values.

Collectively, our findings suggest that firm size matters in influencing resource productivity, and a workforce has productive value in use, but low value in sale.

Purpose – This study examines how managerial ability relates to employee productivity using a broad and generalized sample of US firms.

Methodology – This study employs a generalized sample of firm-years from all industries between 1980 and 2013.

Findings – By contending that managers differ in their ability to synchronize management processes and human capital in ways that enhance employee productivity, the authors provide evidence showing that more-able managers are associated with higher employee productivity. In addition, the authors find that high-ability managers moderate the negative relation between uncertain environments (high-technology firms) and employee productivity. Furthermore, the authors decompose employee productivity into employee efficiency components and employee cost components. The authors find a significant positive association between managerial ability and the employee efficiency component, but do not see a significant association between managerial ability and the employee cost component.

Value – The results contribute to the understanding of employee productivity by showing the relation between managerial ability and employee productivity.

An attempt is made to define productivity in the context of service operations. In so doing some of the difficulties in relating this term to service are explored. The main part of the article takes a strategic approach and identifies three key strategic determinants of service productivity; volume, variety and variation. These terms are explained and their impact on productivity is illustrated in three short case studies.