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Drawing upon the theoretical underpinning of knowledge worker productivity, this study aims to examine the relationship between abusive supervision and knowledge management (KM) process (creation, application and sharing of knowledge) and its impact on the knowledge worker productivity in knowledge-intensive organizations.

Hypothesis were tested through PROCESS Macro in IBM SPSS v.26 on a sample of 204 employees working in banking sector of Pakistan. Confirmatory factor analysis was conducted to test the model fitness through AMOS v. 26.

The results showed that the relationship between abusive supervision and KM process (creation, application and sharing of knowledge) is negative and highly significant, i.e. greater the abusive supervision in the banking sector, the lower is the engagement in KM processes. Furthermore, there is a positive and highly significant relationship between the KM process and knowledge worker productivity. Finally, the study indicates the negative impact of abusive supervision on the knowledge worker productivity through the mediating mechanism of knowledge management processes.

A key limitation is that the study is cross-sectional, and the findings may only be generalizable to developing countries context.

Previous studies have focused on supervisor–employee relationship but not in the context of knowledge worker productivity. This article fulfills this gap through understanding the impact of abusive supervision on the knowledge worker productivity in relation to KM processes (knowledge creation, sharing and application) by drawing upon the theoretical underpinning of knowledge worker productivity.

The purpose of this paper is to propose a new method for knowledge worker productivity measurement which is based on valid principles and appropriate viewpoints.

Based on an extensive and thorough literature review the elements that need to be taken into consideration, while designing a method for knowledge worker productivity measurement, are determined and divided into principles and viewpoints. These elements must be incorporated into the design of knowledge worker productivity measurement methods so that the correctness and accuracy of these methods can be verified. The proposed model, which is based on appropriate principles and viewpoints, determines the outputs of knowledge work with respect to the tasks that a worker’s job includes. Considering nine measures, these outputs are evaluated using fuzzy numbers and, then, quantified. The inputs of knowledge work are knowledge, skills and abilities (KSAs) required to do the job. These inputs are identified and quantified using Job Element Method. Furthermore, fuzzy Data Envelopment Analysis is employed to model the productivity.

In this paper, the proposed method for knowledge worker productivity measurement follows both appropriate principles and viewpoints, simultaneously. In order to validate the obtained results and explore the applicability of the proposed method, a case study was carried out at an Iranian organization in electric power industry. Statistical analyses are employed to prove the validity of the results. Based on the obtained results, the productivity of a knowledge worker is said to be high when he/she delivers the expected amount of job outputs considering the values of his/her inputs (KSAs).

The originality of this paper is twofold. First, the extracted principles and viewpoints can serve as a guideline for the development of similar methods. Second, the proposed model offers an effective and efficient tool that can serve as the basis for the comparison among relative productivity of knowledge workers. Furthermore, the obtained results could form a basis to examine the productivity trend of each knowledge worker over different periods of time.

The productivity of knowledge workers is crucial not only for organizational innovation and competitiveness but also for sustainable development. In the context of knowledge-intensive firms, implementation of knowledge management is likely to increase knowledge worker productivity. Therefore, the purpose of this paper is to examine the influence of knowledge management on knowledge worker productivity.

A research framework on the effects of knowledge management processes on knowledge worker productivity is established and empirically tested with data from 336 knowledge workers at five mobile network operator companies in Pakistan.

The results indicate that knowledge creation and knowledge utilization impact knowledge worker productivity positively and statistically significantly. However, knowledge sharing does not have statistically significant impact on knowledge worker productivity. Demographic factors (gender, managerial position and formal education level) do not moderate the relationship between knowledge management and knowledge worker productivity statistically significantly.

The key limitations are the cross-sectional nature of the data and the geographic limitation to telecom companies in Pakistan.

Irrespective of gender, education and managerial position, implementation of knowledge management can increase knowledge worker productivity. Therefore, knowledge management practices should be implemented to enhance the knowledge worker productivity via fostering the knowledge worker’s engagement in and propensity to knowledge management processes.

This study is among the first to examine the likely influence of knowledge management on the productivity of knowledge workers conclusively while controlling for three individual demographic factors. This study also addresses the effectiveness of knowledge management in the little-explored cultural context of Pakistan.

The purpose of this paper is to analyse the drivers that allow for enhanced personal productivity of knowledge-based workers in Central London focusing on the physical and social environment as well as worker’s individual preferences.

A closed-ended questionnaire was sent to employees of eight professional companies (Consultancy, Financial and Media Services) based in Central London. Of the 500 questionnaires sent, 213 were successfully completed and returned, representing a response rate of 42.6 per cent.

The findings from this trial study show that comfort, convenience, IT connectivity, good design and working to a specific time scale were strong drivers of personal productivity. Knowledge workers prefer a flexible range of office settings that enable both a stimulating open and connected work environment, knowledge sharing, collaboration, as well as quiet concentration locations, free of distractions and noise. It was also found that moves of knowledge workers into open-plan office space (and especially fee earners) is normally met with initial resistance. However, there is normally greater acceptance of open space after experiencing an actual move into open-plan, with benefits improving teamwork and communication being highlighted. The research also stresses that office design considerations need to be closer aligned with knowledge worker’s overall well-being and individual psychological needs.

Limited to Central London offices and self-assessed evaluation of productivity drivers within the knowledge worker’s office environment.

Corporate real estate managers and office occupiers, designers and facilities managers can use the findings as part of their workplace strategy by providing a range of flexible workplaces that allow the knowledge worker a place for greater personal productivity through the provision of a well-designed collaborative office environment alongside private and quiet working spaces. Developers and landlords should also be aware of these requirements when taking their decisions.

This paper focuses specifically on the high-productivity knowledge-based work environment, demonstrating that there is a need to consider the collaborative physical and social environment and the individual preferences of knowledge workers to ensure enhanced personal productivity and well-being within the office. This can be achieved through the provision of a well-designed office space that allows for open, connected and comfortable work environments, as well as opportunities to use dedicated concentration spaces that are free of distraction. It was also shown that hot-desking was unanimously disliked by knowledge workers.

The purpose of this paper is to propose and discuss, from both a theoretical and empirical point of view, a methodology for measuring the productivity of knowledge workers, then giving a contribution to the question launched by P. Drucker at the end of last millennium. An application of the method on a real case of a knowledge-based firm is shown.

The paper is both theoretical and empirical. At first, building also on Pulic’s theory of human capital efficiency (HCE) and on previous works by the same authors of this paper, a deep theoretical analysis is proposed. After, the explicit calculation of the knowledge worker productivity in a real case of a knowledge-based young firm has been carried out.

From a theoretical point of view, an inter-theory relationship between Drucker’s approach of sustainable strategies based on knowledge and the theory of HCE, mostly attributable to Pulic, has been constructed. From results of the application on the case study, it emerges that the calculation of the productivity of knowledge workers can be achieved and furthermore the result of the calculation can be the basis for the policy of rewarding within the firm.

The proposed methodology can support the s.c. knowledge-based firms to calculate the productivity of employees, a very practical problem for such kind of firms. Furthermore, the calculation of knowledge worker productivity is the basis for implementing a policy of rewarding employees.

The originality of the paper is to provide a practical methodology useful to calculate knowledge worker productivity. To do so, the link between Drucker’s and Pulic’s theories has been deeply analyzed and an inter-theory relationship has been constructed. The existence of such a relation, in the authors’ opinion, is necessary to provide a theoretical foundation for the methodology proposed.

The structure of the economy continues to change; where once they are dependent on the productivity of a manual workforce, companies increasingly depend on the productivity of knowledge workers. Today, knowledge workers account for more than two‐thirds of the workforce, and thus should be the focus of strategic plans to improve productivity. Currently there are no universally accepted methods to measure knowledge worker productivity, or even generally accepted categories. This paper provides a taxonomy of knowledge worker productivity measurements, and identifies a number of productivity dimensions that are used to categorize the findings of previous research. Also describes the relative density of discussions along these dimensions and identifies critical areas for future research.

The high turnover rate of knowledge workers presents a challenge to both organizational and personal knowledge management. Although personal knowledge management plays an important role in organizational knowledge management, empirical research on the practices for its application is underdeveloped. This study aims to examine the role of idiosyncratic job-design practices (i.e. job definition, job autonomy, innovation as a job requirement and lifelong learning orientation) in cultivating personal knowledge management among knowledge workers in organizations, to increase their productivity and safeguard the organization against knowledge loss arising from knowledge workers’ interfirm mobility.

Data were collected from 221 knowledge workers pursuing various knowledge-intensive jobs through a questionnaire survey and were analysed using partial least squares modelling.

The results demonstrated that three job-design practices (job definition, innovation as a job requirement and lifelong learning orientation) have a positive impact on personal knowledge management among knowledge workers and thus improve their productivity. However, job autonomy can affect personal knowledge management negatively.

The findings are confined to a specific context and should be replicated across different contexts for better generalizability in future research.

Organizational managers should pay attention to (re)designing knowledge-intensive jobs to cultivate personal knowledge management by clearly outlining job responsibilities, offering opportunities to add relevant job activities and drop irrelevant ones, and making innovation and lifelong learning a formal job requirement. In addition, job autonomy should be judiciously provided along with sufficient social and network support to avoid lost opportunities in knowledge creation and sharing, and should be linked to job responsibilities and performance appraisals to avoid negative effects.

The high turnover rate of knowledge workers presents a challenge to both organizational and personal knowledge management. This study contributes to the literature by addressing the research gap in two aspects. Firstly, based on Drucker’s theory, this study identifies four idiosyncratic job-design practices (job definition, job autonomy, innovation as a job requirement and lifelong learning orientation) that reflect the distinctive characteristics of knowledge-intensive work. Secondly, this study examines whether and how these practices can cultivate personal knowledge management among knowledge workers, which can support their productivity.

Knowledge workers labor to meet their business goals with the support of practical information technology (IT) tools. IT advances can be organizational enablers, when aligned with business goals, and when selectively applied. Workplace leaders and their workers often experience a productivity paradox. This paradox forms an operational limit for current knowledge workers and organizational success. Performance management steps within a Balanced Scorecard (BSC) framework can help overcome workplace productivity paradoxes. The BSC frames and tabulates lagging and leading indicators of IT tools’ usage and soft skill engagements. These adaptive measures dashboard workplace progress and success for organizations of all sizes and in public and private sectors. Lessons can be learned from BSC deployment successes in several business sectors. Valued practices exist to pick / monitor / adapt organizational capability objectives, measures and HR initiatives. Can right IT tool(s) or application(s) help achieve aligned business goals? Yes. Certain IT applications can favorably frame learning and development (L&D) efforts and metrics for knowledge workers as most valuable players, or MVPs.How do knowledge workers and their business leaders manage and leverage these IT applications for employee L&D to improve organizational capabilities? How do they address and adapt to complex and chaotic business conditions, and manage disruptive technologies: a. Artificial Intelligence (AI), b. The Internet of Things (IoT), and c. Data Analytics? Prudent managers and workers can accommodate these conditions and disruptions with agile, productive BSC approaches to generate productivity-ware and to attain their aligned business goals.

As sustainable performance has a central role in the small and medium enterprises (SMEs) performance literature, this study aims to examine the influence of networking capabilities in enhancing sustainable performance through knowledge workers’ productivity and digital innovation. It also examines the sequential mediating role of knowledge workers’ productivity and digital innovation on networking capabilities and SMEs’ sustainable performance relationship.

Data were collected from 308 knowledge workers in the information technology sector and analyzed using the Hayes Process Macro bootstrapping method to test the proposed hypotheses.

Results indicate that knowledge workers’ productivity and digital innovation individually and sequentially mediate the relationship between networking capabilities and SME’s sustainable (economic and environmental) performance, surprisingly, they do not act as a mediator between networking capability and SME’s social performance. SMEs should prioritize investments in the professional development of their knowledge workers through training and skill enhancement programs. This investment equips knowledge workers with the tools to effectively use the knowledge and resources acquired through networking. Thus, knowledge workers may improve performance by using these resources to tackle challenges.

Although this research focused on this specific context, it is prudent to acknowledge that additional factors may also exert influence on sustainable performance within SMEs, factors that managers may consider when making decisions. Methodologically, the cross-sectional design of this research poses a potential limitation, as it does not allow for the complete elimination of endogeneity concerns. However, it is worth noting that scholars have endorsed the use of cross-sectional data in cases where management researchers aim to expand beyond well-documented and longitudinal data sets.

This research offers practical recommendations for SMEs to improve their sustainable performance through networking. SMEs should seek partnerships with complementary knowledge to improve operations and for other performance-oriented benefits.

This study adds significantly to the literature on sustainable SME performance by studying the interdependent effects of networking capabilities. It also represents the individual and sequential mediation mechanism that links networking capabilities to SME success through knowledge worker productivity and digital innovation.

The purpose of this study was to understand if productivity and turnover of the female millennial knowledge workers was influenced by participative management theory. Developing a greater understanding for maximizing the productivity and minimizing turnover risks associated with the significant population of female millennial knowledge workers could contribute towards business success.

This qualitative embedded single-case study used triangulation to develop a more complete look at the female millennial knowledge worker within an organization while utilizing a method that allowed for maximizing the understanding of a common case.

While triangulating across three modes of data collection “employee development” was identified in connection with both productivity and turnover. “Timely communication” was associated with productivity, and both “feedback” and “working environment” triangulated with turnover.

This study extends existing participative management theory, limited by a majority focus, to include the female millennial knowledge worker.

The results of this study showed that managers should provide development opportunities and timely feedback to female millennial knowledge workers in support of their productivity. In addition, employee development, timely feedback and a positive work environment could be used by managers to minimize turnover in this population.

The risk of alienating the population of female millennial knowledge workers could result in turnover and productivity challenges for businesses. The results of this study showed that managers should engage in employee development, timely feedback and cultivate a positive work environment to minimize turnover and increase the productivity of this population.