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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.

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.

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.

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.

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.

Enhancing the innovative behaviour of knowledge workers is a main task in knowledge management. The pay-for-performance policy is one of the management practices for innovative behaviour enhancement and has been gaining popularity in the knowledge-intensive context. However, it is still uncertain whether such practice really enhances the innovative behaviour of knowledge workers. To address this issue, this paper aims to propose and verify a conceptual framework incorporating kernel notions of social exchange, psychological empowerment and work engagement rooted in the social cognition paradigm.

The current study conducts a survey on 608 knowledge workers and their supervisors, validating the model structure and causal path pattern of the proposed framework. The causality is delineated from social exchange attributes of financial incentive, psychological empowerment and work engagement to innovative behaviour of knowledge workers.

Perceived organisational support and perceived pay equity are primary antecedents of symbolic incentive meaning reflected in the financial incentive of the pay-for-performance policy. Symbolic incentive meaning comprising dimensions of relative position, control and personal importance relates positively to innovative behaviour of knowledge workers. Psychological empowerment and work engagement are partial mediators of the positive relationship.

The current study explicates why and how social exchange attributes of the financial incentive provided by the pay-for-performance policy may enhance innovative behaviour of knowledge workers. Implications are supplied to knowledge management scholars and practitioners to optimise the pay-for-performance policy for innovative behaviour enhancement.

The purpose of this paper is to investigate a specific pattern of relationships among various task, knowledge and social characteristics of work design and work outcomes. It clearly shows how particular work characteristics influence task and contextual performance.

The empirical research was conducted through a field survey of the largest Croatian organizations with more than 500 employees. A cross-sectional and cross-occupational sample of 512 knowledge workers from 48 organizations is analyzed by applying the partial least squares structural equation modeling technique.

The results confirmed the existence and importance of the interaction between work characteristics and work outcomes. However, the findings suggest that only knowledge characteristics of work design exhibit a significant effect on both dimensions of work behavior, while task and social characteristics showed different effects on task and contextual performance, respectively.

The research findings clearly show that work design efforts are not straightforward but rather context-specific, and with diverging performance effects. Organizations can significantly enhance their bottom-line performance by designing challenging and cognitively demanding configurations of work tasks for their knowledge workers.

The paper extends previous research by capturing a broader set of work characteristics of knowledge workers. The results suggest that different categories of work characteristics have different effects on task and contextual performance. By revealing the nature of work design in the central and eastern European context, this study indicates the existence of possible differences in work design practices in various backgrounds.

How is the performance of a knowledge worker affected by the departure of a colleague? While prior research has highlighted the aggregate impact of knowledge worker mobility on firms, in this chapter we look inside the firm, to explore the individual-level impact of a coworker's departure on the performance of a remaining employee. We propose that the departure of a coworker can change the remaining employee's access to knowledge, but the implications of such changes will depend on the nature of the coworker's relationship with the employee: the employee's performance will be negatively affected to the extent that the relationship is collaborative, but it will be positively affected to the extent that the relationship is competitive. Moreover, these effects will be magnified to the extent that the employee was dependent on the coworker for knowledge access prior to the move, but weakened to the extent that the relationship persists after the move. Our knowledge-based perspective on coworker departures advances research on employee mobility and knowledge flows by highlighting the variety of changes in knowledge access that may result when a colleague leaves the firm, and illuminating the implications of these changes for the performance of employees who remain behind.

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.