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Article
Publication date: 25 October 2021

Zahra Sarhadi, Mojtaba Kaffashan Kakhki and Hassan Behzadi

This study aims to assess the effect of knowledge management (KM) development and emotional intelligence (EI) on the productivity of librarians regarding the mediating…

Abstract

Purpose

This study aims to assess the effect of knowledge management (KM) development and emotional intelligence (EI) on the productivity of librarians regarding the mediating role of job motivation (JM) and job feedback (JF).

Design/methodology/approach

This study was carried out in two phases. First, the variables affecting the productivity of librarians were identified and selected through an explorative study and by surveying their opinions. Then, the theoretically designed model was administered to 312 librarians at Iranian public libraries. A questionnaire was used to collect data, and the structural equation modelling technique was used to analyse data.

Findings

The results of this study showed that KM and EI, mediated by JM and JF, had a positive and significant effect on developing the librarians’ productivity. The results also revealed that JF had a positive effect on JM and that JF was more effective on productivity than JM. This study marginally proved the direct effect of KM and EI on productivity where KM was more effective than EI on productivity. Knowing the effects of organizational and individual factors on the higher productivity of librarians in public libraries will help library managers make more efficient use of those factors in developing the capabilities of librarians and enhancing productivity.

Originality/value

This study is one of the few studies of its kind that facilitates the perception of the concept of productivity in public libraries and also the assessment of the effects of organizational and individual factors on the librarians’ productivity.

Details

The Electronic Library , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0264-0473

Keywords

Content available
Book part
Publication date: 4 May 2018

Bakhtiar, Defi Irwansyah and Zulmiardi

Purpose – This study aims to determine the results of productivity index, profitability and improvement of company prices and to understand the relationship between…

Abstract

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

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Article
Publication date: 7 October 2021

Jingbin Wang, Kexin Hou and Xuechang Zhu

The purpose of this study is to demonstrate the nonlinear relationship between inventory stickiness and productivity, with investment efficiency being a mediator and…

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Abstract

Purpose

The purpose of this study is to demonstrate the nonlinear relationship between inventory stickiness and productivity, with investment efficiency being a mediator and environmental dynamism being a moderator.

Design/methodology/approach

Using a large panel data collected from 1,479 Chinese listed manufacturing enterprises over the period from 2010 to 2020, this research employs the instrumental variable method combined with two-stage least squares estimators to explore the inverted-U-shaped relationship between inventory stickiness and productivity. Furthermore, the mediating role of investment efficiency and the moderating role of environmental dynamism are demonstrated via two three-model systems.

Findings

As its core, productivity initially increases with inventory stickiness until a turning point at the end of the sample, beyond which the incremental effect of inventory stickiness on productivity become negative. That is, an inverted U-shaped relationship between inventory stickiness and productivity is found to exist. Moreover, further mediated moderation analysis highlights that investment efficiency is a key mediator of this relationship, whereas environmental dynamism is a key moderator.

Practical implications

Managers ought to gauge carefully against the tradeoffs between inventory stickiness and productivity. In general, over 90% of manufacturing enterprises have great potential to increase productivity by implementing sticky inventory management. In addition, managers are suggested to place emphasis on investment management and environmental strategy.

Originality/value

This paper contributes to the current understanding about productivity by illustrating and verifying the nonlinear effect of sticky inventory management. It may be the first study to empirically demonstrate the mediating effect of investment efficiency and the moderating effect of environmental dynamism on the relationship between inventory stickiness and productivity.

Details

Journal of Manufacturing Technology Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 13 October 2021

Jae-Seob Lee

The purpose of the paper is to develop a method to integrate the schedule-based analysis with a productivity-based analysis to prove and support the result of the damages…

Abstract

Purpose

The purpose of the paper is to develop a method to integrate the schedule-based analysis with a productivity-based analysis to prove and support the result of the damages calculation.

Design/methodology/approach

In this paper, a “cost and schedule impact integration” (CSI2) model is proposed to objectively show and estimate lost productivity due to changes in construction projects.

Findings

A schedule-based analysis to include separate tracking of change order costs can be used to predict productivity due to the delay and disruption; changes in construction projects almost always result in delay and disruption. However, the schedule-based analysis needs to be integrated with a productivity-based analysis to prove and support the result of the damages calculation.

Practical implications

The results of this study expand upon construction practices for proving and quantifying lost productivity due to changes in construction projects.

Originality/value

The contribution of the paper is summarized as the introduction of a “schedule impact analysis” into a “cost impact analysis” technique to assess the damages, as well as to demonstrate the labor productivity impact due to delay and disruption in construction projects.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

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Article
Publication date: 21 October 2021

Chet E. Barney, Brent B. Clark and Serge P. da Motta Veiga

The main purpose of this study was to examine which job resources are most valuable for research productivity, depending on varying teaching demands.

Abstract

Purpose

The main purpose of this study was to examine which job resources are most valuable for research productivity, depending on varying teaching demands.

Design/methodology/approach

Data was collected from 324 management faculty at research, balanced and teaching (i.e. respectively low-, moderate- and high-teaching demands) public universities in the United States.

Findings

Results showed that no single job resource predicted research productivity across all three types of schools. At research schools (i.e. low-teaching demands), productivity was positively associated with job resources including summer compensation, level of protection for untenured faculty and number of research assistant hours, while negatively associated with travel funding. At balanced schools (i.e. moderate-teaching demands), research output was positively associated with time allocated to research, grant money, travel funding and conference attendance, while negatively associated with amount of consulting hours. At teaching schools (i.e. high-teaching demands), the only significant resource was time allocated to research.

Practical implications

This paper can help management faculty and business school leaders understand what resources are most appropriate given the teaching demands associated with the specific institution, and by further helping these institutions attract and retain the best possible faculty.

Originality/value

This study extends prior work on academic research performance by identifying resources that can help faculty publish given different levels of teaching demands. This is important as teaching demands tend to be relatively stable within an institution, while they can vary greatly across types of institutions.

Details

Career Development International, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1362-0436

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Article
Publication date: 20 October 2021

Noorul Shaiful Fitri Abdul Rahman, Nur Hazwani Karim, Rudiah Md Hanafiah, Saharuddin Abdul Hamid and Ahmed Mohammed

The warehouse industry is one of the backbones in the logistics operation which involves several activities i.e. storage, receiving, picking and shipping of goods/cargoes…

Abstract

Purpose

The warehouse industry is one of the backbones in the logistics operation which involves several activities i.e. storage, receiving, picking and shipping of goods/cargoes. This study analyzes the most important warehouse productivity indicators for improving warehouse operation efficiency.

Design/methodology/approach

This study presents an empirical methodology of the fuzzy analytical hierarchy process (FAHP) method, an integration between the fuzzy logic method with an analytical hierarchy process (AHP) method incorporated with the adoption of quantitative and systems theories under the modern management theory approach.

Findings

The results indicate that the weight values of the main criteria which lead by the criterion “Space (0.4005)” at the top ranking, followed by Information System (0.2445), Labor (0.2065) and Equipment (0.1484). In addition, the weight values and ranking of the 16 sub-criteria are also highlighted which the sub-criterion “Warehouse Management System (0.2445)” scores the highest weight value and followed by Storage Space Utilization (0.1043) and Throughput (0.0722) accordingly.

Research limitations/implications

Finally, this research contributed to enrich the literature, while highlighting a series of recommendations on the top three most significant productivity performance indicators that can be useful in further research.

Originality/value

A generic analysis model developed with the adoption of three study theories: quantitative, system and productivity theories.

Details

International Journal of Productivity and Performance Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 17 September 2021

Oluseyi Julius Adebowale and Justus Ngala Agumba

The global construction industry is significant to economic development, whereas the sector, particularly its small and medium sized enterprises (SMEs) have continued to…

Abstract

Purpose

The global construction industry is significant to economic development, whereas the sector, particularly its small and medium sized enterprises (SMEs) have continued to suffer from low labour productivity for decades. This has given rise to the concern of relevant construction stakeholders on the need to address the challenges undermining labour productivity growth in construction. Hence, this study aims to conduct a meta-data analysis of factors that hamper productivity growth of construction SMEs in developing countries.

Design/methodology/approach

A systematic review of existing studies relative to factors affecting construction labour productivity (CLP) is presented. Thereafter, eight developing countries-based studies that are specific to SMEs were selected for meta-data analysis using relative importance index values from the studies.

Findings

The essential productivity influencing factors were identified and quantitative data of the selected studies were synthesised. The effect summaries derived from the meta-data analysis revealed that the most significant factors that negatively affect CLP amongst SMEs include: workers’ skills, inadequate training, rework, management style and incentive to labour.

Research limitations/implications

The study is limited to scientifically analysed secondary data relative to SME contractors in developing countries.

Practical implications

The findings of the study can be adopted by construction stakeholders to evolve productivity growth policies for construction SMEs in developing countries.

Originality/value

Synthesis of quantitative data of different studies has lent deeper insight into a more realistic and scientific precision of factors affecting labour productivity of construction SMEs.

Details

Journal of Engineering, Design and Technology , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1726-0531

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Article
Publication date: 2 September 2021

Naouel Ben Jemaa Cherif

The purpose of this paper is to investigate the impact of training on labor productivity and wages in order to examine how the benefits from training are shared between…

Abstract

Purpose

The purpose of this paper is to investigate the impact of training on labor productivity and wages in order to examine how the benefits from training are shared between employers and employees.

Design/methodology/approach

This study analyzes an industry panel covering all sectors of the Tunisian economy for the period 2000–2014. The panel structure of the data allows controlling for the endogeneity of training by using different panel data techniques.

Findings

Results show that both employers and workers benefit from training since it has a positive and significant effect on productivity and wages. However, the effect of training on productivity is substantially higher than on wages, suggesting that employers obtain the largest part of the returns to training. This result is consistent with theories that explain firm-sponsored training by a compressed wage structure in imperfect labor markets.

Originality/value

This study, particularly showcasing the labor market in Tunisia, is one of the first to provide estimates for a developing country to assess the effects of training for both employer and employee. It is also among the few empirical works that analyzed the impact of training on labor productivity and wages simultaneously.

Details

International Journal of Manpower, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0143-7720

Keywords

Content available
Article
Publication date: 6 September 2021

Robert Larsson and Martin Rudberg

This paper aims to study the effects of different weather conditions on typical concrete work tasks’ productivity. Weather is one important factor that has a negative…

Abstract

Purpose

This paper aims to study the effects of different weather conditions on typical concrete work tasks’ productivity. Weather is one important factor that has a negative impact on construction productivity. Knowledge about how weather affects construction works is therefore important for the construction industry, e.g. during planning and execution of construction projects.

Design/methodology/approach

A questionnaire survey method is used involving means to perform pairwise comparisons of different weather factors according to the analytical hierarchical process (AHP). The survey also contains means to enable assessment of the loss in productivity for typical work tasks exposed to different weather types. The survey targets practitioners involved in Swedish concrete construction projects, and the results are compared with previous research findings.

Findings

The survey covers responses from 232 practitioners with long experience of concrete construction. The pairwise comparisons reveal that practitioners rank precipitation as the most important followed by wind and temperature. The loss in productivity varies significantly (from 0 to 100%) depending on the type of work and the type of weather factor considered. The results partly confirm findings reported in previous research but also reveal a more complex relationship between weather and productivity indicating several underlying influencing factors such as type of work, type of weather (e.g. rain or snow) and the intensity of each weather factor.

Originality/value

This paper presents new data about how 232 practitioners assess the effects of weather on construction productivity involving novel means to perform objective rankings such as the AHP methodology.

Details

Construction Innovation , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1471-4175

Keywords

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Article
Publication date: 1 October 2021

Wanglin Ma, Puneet Vatsa, Xiaoshi Zhou and Hongyun Zheng

The purpose of this study is to explore the relationship between farmers' happiness and farm productivity, taking maize production in China as an example.

Abstract

Purpose

The purpose of this study is to explore the relationship between farmers' happiness and farm productivity, taking maize production in China as an example.

Design/methodology/approach

The conditional mixed process model is employed to account for the endogeneity that inevitably arises in regression models studying happiness and estimate the 2015 China Household Finance Survey data.

Findings

The empirical results show that a higher level of farmers' happiness is associated with higher maize productivity. The marginal return in maize productivity changes unevenly with increments in farmers' self-reported happiness on a five-point Likert scale. Farmers' happiness is positively determined by their age, educational level, farm size, machinery ownership, access to agricultural subsidy and car ownership. Machinery ownership and access to credit are two important factors that improve maize productivity.

Research limitations/implications

The finding suggests that promoting the subjective well-being of farmers is conducive to higher productivity and improved national food security. The results have implications for China and other developing countries aiming for sustainable agricultural development.

Originality/value

Firm-level data show that workers' happiness improves productivity. However, it is still unclear whether farmworkers' happiness affects farm productivity. Thus, this study provides the first empirical analysis of the impact of farmworkers' happiness on farm productivity.

Details

International Journal of Social Economics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0306-8293

Keywords

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