In the knowledge economy knowledge productivity is the main source of competitive advantage and thus the biggest management challenge. Based on a review of the concept from two distinct perspectives, knowledge productivity is defined as the process of knowledge-creation that leads to incremental and radical innovation. The two main elements in this definition are „the process of knowledge creation‟ and „incremental and radical innovation‟. The main aim of this chapter is to contribute to a better understanding of the concept of knowledge productivity in order to support management in designing policies for knowledge productivity enhancement. After elaborating on the concept of knowledge productivity, the two main elements are combined in a conceptual framework – the knowledge productivity flywheel. This framework appeared to be an effective model for supporting initiatives that aim for enhancing knowledge productivity.
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High Performance Organization (HPO) characteristics indicate why an organization is able to achieve significantly better results than other organizations and these characteristics can facilitate associations to optimize employees’ work outcomes. The independent professional (IP) is an increasingly occurring phenomenon in the labor market that fulfils an organizations’ need for flexibility in knowledge productivity. This study focuses on the contribution of HPO characteristics to the knowledge productivity of IP's. It was conducted among managers and HRM professionals in various Dutch knowledge-intensive organizations that frequently enlist the services of IPs. This study found a number of HPO attributes that appeared to contribute to the IPs' knowledge productivity, namely the quality of management, an open and actionfocused organizational culture, and continual improvement and innovation. We will use these results to look ahead and consider the future consequences for professional practice. Managers and HRM professionals should strive to contribute to the incorporation of these characteristics within the organization in order to safeguard and enhance knowledge productivity of independent professionals.
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The labor productivity of construction projects is low. This urges construction companies to increase their labor efficiency, particularly when demands grow and labor is scarce. This blog introduces an overview that helps practitioners identify causes of low productivity to find and eliminate the root causes.
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Future work processes are going to change in several aspects. The working population (at least in Western European countries) is decreasing, while average age of employees increases. Their productivity is key to continuity in sectors like healthcare and manufacturing. Health and safety monitoring, combined with prevention measures must contribute to longer, more healthy and more productive working careers. The ‘tech-optimist’ approach to increase productivity is by means of automation and robotization, supported by IT, AI and heavy capital investments. Unfortunately, that kind of automation has not yet fulfilled its full promise as productivity enhancer as the pace of automation is significantly slower than anticipated and what productivity is gained -for instance in smart industry and healthcare- is considered to be ‘zero-sum’ as flexibility is equally lost (Armstrong et al., 2023). Simply ‘automating’ tasks too often leads to ‘brittle technology’ that is useless in unforeseen operational conditions or a changing reality. As such, it is unlikely to unlock high added-value. In healthcare industry we see “hardly any focus on research into innovations that save time to treat more patients.” (Gupta Strategists, 2021). Timesaving, more than classic productivity, should be the leading argument in rethinking the possibilities of human-technology collaboration, as it allows us to reallocate our human resources towards ‘care’, ’craft’ and ’creativity’.
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The sources of productivity have always been the main subject of economic debate because they are the main determinants of profitability and competitiveness. In order to improve productivity we should be able to identify the sources of productivity. This article presents a method for measuring the sources of knowledge productivity in order to give direction to knowledge management initiatives. The method is based on a theoretical framework which combines two different perspectives (economic and process) on knowledge productivity. This article presents the methodological and theoretical framework, the initial design of the method and the results of the first two case studies. The relevance of this article is that it combines the concepts of knowledge management and intellectual capital measurement in the relatively new concept of knowledge productivity.
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Despite the efforts of governments and firms, the construction industry is trailing other industries in labour productivity. Construction companies are interested in increasing their labour productivity, particularly when demand grows and construction firms cope with labour shortages. Off-site construction has proved to be a favourable policy to increase labour productivity. However, a complete understanding of the factors affecting construction labour productivity is lacking, and it is unclear which factors are influenced by off-site construction. This study developed a conceptual model describing how 15 factors influence the construction process and make a difference in labour productivity between off-site and on-site construction. The conceptual model shows that all 15 factors affect labour productivity in three ways: through direct effects, indirect effects and causal loops. The model is a starting point for further research to determine the impact of off-site construction on labour productivity.
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Purpose – purpose of this article is to report about the progress of the development of a method that makes sense of knowledge productivity, in order to be able to give direction to knowledge management initiatives. Methodology/approach – the development and testing of the method is based on the paradigm of the Design Sciences. In order to increase the objectivity of the research findings, and in order to test the transferability of the method, this article suggests a methodology for beta testing. Findings – based on the experiences within this research, the concept of beta testing seems to fit Design Science Research very well. Moreover, applying this concept within this research resulted in valuable findings for further development of the method. Research implications – this is the first article that explicitly applies the concept of beta testing to the process of developing solution concepts. Originality/value – this article contributes to the further operationalization of the relatively new concept of knowledge productivity. From a methodological point of view, this article aims to contribute to the paradigm of the Design Sciences in general, and the concept of beta testing in particular.
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In tourism management, traditional input-output models are often applied to calculate economic impacts, including employment impacts. These models imply that increases in output are translated into proportional increases in labour, indicating constant labour productivity. In non-linear input- output (NLIO) models, final demand changes lead to substitution. This causes changes in labour productivity, even though one unit of labour ceteris paribus still produces the same output. Final demand changes can, however, also lead to employees working longer, harder and/or more efficiently. The goal of this article is to include this type of 'real' labour productivity change into an NLIO model. To do this, the authors introduce factor augmenting technical change (FATC) and a differentiation between core and peripheral labour. An NLIO model with and without FATC is used to calculate the regional economic impacts of a 10% final demand increase in tourism in the province of Zeeland in the Netherlands. Accounting for real productivity changes leads to smaller increase in the use of labour, as productivity increases allow output to be produced using fewer inputs.
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Background: This paper presents the findings of a pilot research survey which assessed the degree of balance between safety and productivity, and its relationship with awareness and communication of human factors and safety rules in the aircraft manufacturing environment.Methods: The study was carried out at two Australian aircraft manufacturing facilities where a Likertscale questionnaire was administered to a representative sample. The research instrument included topics relevant to the safety and human factors training provided to the target workforce. The answers were processed in overall, and against demographic characteristics of the sample population.Results: The workers were sufficiently aware of how human factors and safety rules influence their performance and acknowledged that supervisors had adequately communicated such topics. Safety and productivity seemed equally balanced across the sample. A preference for the former over the latter wasassociated with a higher awareness about human factors and safety rules, but not linked with safety communication. The size of the facility and the length and type of employment were occasionally correlated with responses to some communication and human factors topics and the equilibrium between productivity and safety.Conclusion: Although human factors training had been provided and sufficient bidirectional communication was present across the sample, it seems that quality and complexity factors might have influencedthe effects of those safety related practices on the safety-productivity balance for specific parts of the population studied. Customization of safety training and communication to specific characteristics of employees may be necessary to achieve the desired outcomes.
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Renewing agricultural grasslands for improved yields and forage quality generally involves eliminating standing vegetation with herbicides, ploughing and reseeding. However, grassland renewal may negatively affect soil quality and related ecosystem services. On clay soil in the north of the Netherlands, we measured grass productivity and soil chemical parameters of ‘young’ (5–15 years since last grassland renewal) and ‘old’ (>20 years since last grassland renewal) permanent grasslands, located as pairs at 10 different dairy farms. We found no significant difference with old permanent grassland in herbage dry matter yield and fertilizer nitrogen (N) response, whereas herbage N yield was lower in young permanent grassland. Moreover, the young grassland soil contained less soil organic matter (SOM), soil organic carbon (C) and soil organic N compared to the old grassland soil. Grass productivity was positively correlated with SOM and related parameters such as soil organic C, soil organic N and potentially mineralizable N. We conclude that on clay soils with 70% desirable grasses (i.e., Lolium perenne and Phleum pratense) or more, the presumed yield benefit of grassland renewal is offset by a loss of soil quality (SOM and N-total). The current practice of renewing grassland after 10 years without considering the botanical composition, is counter-productive and not sustainable.
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