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Knowledge management in the public sector is relatively an ignored avenue of research and practice that has recently been given attention. Knowledge management initiatives in the public sector are now not limited to the developed countries anymore. The public sectors of various developing countries including Pakistan have developed knowledge management functions to address the problems of low organizational commitment (higher turnover rates) and knowledge-workers’ performance. Consequently, the purpose of this paper is to examine the mediation role of organizational commitment in the relationship between knowledge management practices and knowledge-worker performance.

The data were gathered from 341 knowledge workers of the public sector health department of Punjab Province, Pakistan, where knowledge management unit initiative has been taken. It was then analyzed using the structural equation modeling.

Organizational commitment partially mediates the relationship between knowledge management practices and knowledge-work performance.

The public sector policy makers are strongly advised to implement knowledge management units and practices in order to enhance knowledge-work performance as well as organizational commitment.

First, the model on the mediating role of organizational commitment has never been examined before. Second, the data collection from the public Health Department of Pakistan, a developing country, is relatively rare because the public sector knowledge management studies have mostly been conducted in developed countries. Finally, this study extends the literature on knowledge management in the public sector that is the developing theme in knowledge management discipline while adding knowledge management as a toolkit to enhance knowledge-workers’, organizational commitment and knowledge-work performance.

Since the subject matters of human resources activities on knowledge intensive firms have been changed by coronavirus disease 2019 (COVID-19) pandemic, this study aims to analyze the impact of stock options on talent retention (knowledge worker retention) and knowledge productivity (innovation) in terms of patents, which directly affect the financial performance of knowledge intensive firms.

Drawing on agency and contingency theory to design the causality model, this study analyzes the data obtained from 227 publicly traded knowledge intensive firms in information technology (IT) and healthcare sectors. Panel data analysis is used to determine the long run causal relationship between firm innovation, knowledge worker retention and financial performance, in addition to ANOVA for evaluating firm size as a lurking variable on the effect of stock options.

The results of this study demonstrate that, when firm size is taken into account, (1) stock options significantly affect knowledge worker retention and firms' financial performance, and this impact is stronger in a during-pandemic situation than in a pre-pandemic situation (2) firm innovation significantly affects firms' financial performance and this impact is stronger in a during-pandemic situation than in a pre-pandemic situation; (3) knowledge worker retention doesn't have a significant impact on firm innovation and firms' financial performance. Moreover, random effect regression analysis for long-term relationships also depicts the same results: knowledge worker retention has non-significant impact on firm innovation and financial performance, but firm innovation significantly affects financial performance.

To the best of the authors' knowledge, the authors are the first to compare the effects of stock options, knowledge worker retention and firm innovation in both pre- and during-pandemic scenarios where firm size is taken into consideration.

The authors examined how the identification mechanism of the innovation performance of knowledge employees is affected by empowering leadership by influencing the organizational identification and the moderating effect of leaders on the role expectation of knowledge employees as an essential innovation subject.

The authors employed a mixed-method research approach. The authors collected data from 378 knowledge employees and managers in 20 companies in China's Yangtze River Delta cities. The authors analyzed data using multiple regression analysis forecasting methods.

The authors found that there was an inverted U-shaped relationship between empowering leadership and the innovation performance of knowledge employees; organizational identity played a partial mediating role between empowering leadership and the innovation performance of knowledge employees; role expectation of leaders on the innovation behavior of employees regulated the relationship between the organizational identity and innovation performance of knowledge employees.

This study extends the literature on empowering leadership and innovation performance. This study empirically examines the mediating effect of organizational identity between empowering leadership and innovation performance. In addition, this study empirically examines how empowered leaders' expected innovation level moderates the association between organizational identity and innovation performance.

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.

Drawing upon social cognitive theory (SCT), the authors aimed to examine the relationship between supervisors' knowledge-oriented leadership (KOL) style and knowledge workers' performance. The authors further investigated the conditional indirect effects of KOL on workers' performance through knowledge management (KM) engagement at different levels of workers' empowerment.

The authors used a time-lagged field survey and collected data from 212 knowledge workers and their 72 supervisors working in 15 knowledge-intensive firms across Pakistan.

The results showed that supervisors' KOL positively affected knowledge workers' performance both directly and through KM engagement. Similarly, the effect of KM engagement on workers' performance was stronger for those who experienced higher levels of empowerment. Finally, the indirect effects of KOL on workers' performance through KM engagement were stronger for higher levels of empowerment.

The study provided theoretical implications, specifically in a non-Western work context where KOL is relatively less explored. Additionally, the authors examined the concept of empowerment, using SCT, as a boundary condition, providing evidence for empowerment as a contingency factor that fosters employees' performance.

This paper aims to identify the impact of demographical and organizational variables such as age, gender, experiences use of knowledge management system (KMS), education and job level on knowledge sharing (KS) performance of knowledge workers in knowledge activities of a KMS. Specifically, it seeks to explore that is there any relationship between the KS behavior patterns of high KS performance knowledge workers with their performance. Furthermore, this study using its conceptual attitude model aims to show that whether knowledge workers’ behavior patterns in sharing information and knowledge throughout a KMS have any specific effect or not.

This paper proposed a framework to mine knowledge workers’ raw data using data mining techniques such as clustering and association rules mining. Also, this research uses a case-based approach to a knowledge-intensive company in Iran that works in the field of information technology with 730 numbers of workers.

Findings suggest that demographical and organizational variables such as age, education and experience use of KMS have positive effects on knowledge worker’s KS behavior in KMSs. In fact, people who have lower age, higher education degrees and more experience use of KMS, have more participation in KS in KMS. Also, results depict that the experienced use of KMS has the most impact on the intention of KS in this KMS. Findings emphasize on the importance of the influence of the behavioral, organizational environments and psychological factors such as reward system, top management support, openness and trust, on KS performance of knowledge workers in the KMS. In fact, according to data, the KMS reward system caused to increasing participation of the users in KS, also in each knowledge activity that top managers participate in, the scores were higher.

This research helps top managers in designing policies and strategies to improve the participation of knowledge workers in KS and helps human resource managers to improve their membership policies. Also, assist Information Technology (IT) managers to enhance KMSs’ design to leverage with organization strategies in the field of improving KS and encourage people to participate in KMS.

This research has two key values. First, this paper applies a data mining framework to mining and analyzing data and this paper uses actual data of a KMS in a specialist company in Iran, with about 27,740 real data points. Second, this paper investigates the impact of demographical and organizational attributes on KS behavior, which little is empirically known about the impact of demographical variables on KS intention.

This paper aims to draw upon motivated information processing theory to examine the sequential mediating roles of perspective taking and boundary spanning between transformational leadership and the creative performance of knowledge workers.

The study was carried out on a sample, including a dyad of 398 knowledge workers and their immediate supervisors in four research institutes in southwest China. The authors tested the theoretical model using structural equation modeling (SEM) and Mplus 7.0 software.

The results support the mediation model in which perspective taking was found to significantly and positively mediate the relationship between transformational leadership and boundary spanning. Boundary spanning was found to significantly and positively mediate the relationship between perspective taking and creative performance. Moreover, both perspective taking and boundary spanning were found to mediate the relationship between transformational leadership and creative performance.

The study findings imply that the transformational leadership behaviors of managers or supervisors nurture knowledge workers' perspective taking and their boundary spanning activities leading to creative performance.

The findings contribute new knowledge to the relationship between transformational leadership and creative performance by uncovering the causal chain of a cognitive mechanism (perspective taking) with a behavioral mechanism (boundary spanning).

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.

Building on network theory, this study aims to examine how network resources and network knowledge utilization influence mobility within networks of knowledge workers. Specifically, it examines how the availability of resources in a network and knowledge utilization, in a period impacts the structure of the focal network in the following period.

The study uses data from the National Basketball Association to depict the mobility of knowledge workers in a network. Because of the nature of the dependent variable, the study used a conditional fixed-effects quasi-maximum-likelihood Poisson regression as an analytical methodology.

The study finds that network resources are partially significant in predicting knowledge workers’ mobility and that knowledge utilization of networks of knowledge workers in one period negatively affects networks’ structure in the following period.

The study advances our understanding of the knowledge workers’ mobility phenomenon by examining network-level factors that influence the mobility of knowledge workers. It addresses the issue from a different theoretical perspective that is rarely used in studies of knowledge workers, which mostly draw from the traditional human resource literature. Additionally, it contributes to the emerging literature of network dynamics by studying factors that affect network changes. The study also responds to the calls that advocate using sports data to examine organizational phenomena.

One major purpose of performance appraisals is to determine individual merit, especially where pay for performance systems are employed. Based upon expectancy theory, high performance ratings should entail high merit increases while low performance ratings result in low merit increases. However, it appears that decoupling performance ratings and merit increases is a common practice, as evident from a survey that was administered to knowledge workers at multiple sites in Pittsburgh, Pennsylvania, USA. Human capital themes that appeared to be fair and/or equitable among the sampled knowledge workers, using a grounded theory approach, included the following collective concepts: marginal, actual performance, good reviews associated with good raises, nice raises, management's reviews are partly or mostly objective, employee intrinsic motivation, attitude, years of service, and appropriate education level. Negative aspects of the performance/reward systems were also explored. Associated training suggestions included constant attention by management that keeps the coupling of performance evaluations and motivational/incentive pay systems alive and well, as well as a system to track corporate goals that allow management to compare training, performance metrics, employee retention, and other data with company‐wide goals and employees’ expectations.