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This study aims to present the overview of intellectual capital creation micro-mechanisms concerning formal and informal knowledge processes. The organizational culture, transformational leadership and innovativeness are also included in the investigation as ascendants and consequences of the focal relation of intellectual capital and knowledge processes.

Based on a sample of 1,418 Polish knowledge workers from the construction, healthcare, higher education and information technology (IT) industries, the empirical model was developed using the structural equation modeling (SEM) method.

The study exposes that the essence of transformational leadership innovativeness oriented is developing all intellectual capital components. To do so, leaders must support both formal and informal knowledge processes through the organizational culture of knowledge and learning. Furthermore, for best results of the knowledge transformation into intellectual capital, the learning culture must be shaped by both components: learning climate and acceptance of mistakes.

Presented findings can be directly applied to organizations to enhance innovativeness. Namely, leaders who observe that the more knowledge is formally managed in their organizations, the less effective the knowledge exchange is-should put more effort into supporting informal knowledge processes to smoothly develop human and relational intellectual capital components. Shortly, leaders must implement an authentic learning culture, including the mistakes acceptance component, to use the full organizational potential to achieve intellectual capital growth. Intellectual capital growth is essential for innovativeness.

This study presents the “big picture” of all intellectual capital creation micro-mechanisms linking transformational leadership with organizational innovativeness and explains the “knowledge paradox” identified by Mabey and Zhao (2017). This explanation assumes that intellectual capital components are created informally (i.e. human and relational ones) and formally (i.e. structural ones). Therefore, for best effects, both formal and informal knowledge processes, must be supported. Furthermore, this study exposes that the intensity of all explored micro-mechanisms is industry-specific.

This research explores support vector machine (SVM) with Gaussian radial basis function kernel (RBF) as the model and Analysis of Variance (ANOVA) for forecasting the invalidation re-examination decisions of China invention patents, it is beneficial to support patent monetization for corporate intellectual capital.

There were 8,666 China invention patents with their existing invalidation re-examination decisions during 2000∼2021 chosen to conduct classification model training and prediction for the accuracy of invalidation re-examination decisions through SVM with RBF. Statistical significance was performed by ANOVA to identify indicators for these invention patents selected in this research. These selected 8,666 China invention patents were divided into two groups based on their invalidation re-examination decisions during 2000∼2021 in Table 1, which Group 1 included 5,974 invention patents with all valid or partially valid claims, and Group 0 included 2,692 invention patents with all invalid claims. Thereafter, each group was further divided into sub-groups based on 13 major regions where the applicants filed invalidation re-examination. The training sets for Group 1, Group 0 and the sub-groups were selected based on the patent issued in January, February, April, May, July, August, October and November; while the prediction sets were selected from the invention patents issued in March, June, September and December.

The training and prediction accuracies were compared to the existing invalidation re-examination decisions. Accuracies of training sets were ranged from 100% in region 7 (Beijing) and region 9 (Shanghai) to 95.95% in region 1 (US), and the average accuracy of invalidation re-examination decisions was 98.95%. While the accuracies of prediction sets for Group 1 were ranged from 100.00% in region 7 (Beijing) to 90.78% in region 13 (Overseas-others), and the average accuracy of classification was 95.96%, this research’s outcomes confirmed the purpose of applying SVM with RBF to predict the patentability sustainability.

This research developed an empirical method through SVM with RBF to predict patentability sustainability which is crucial for corporate intellectual capital on patents. In particular, the investments on patents are huge, including the patent cultivation and maintenance, developments into products or services, patent litigations and dispute managements. Therefore, this research is beneficial not only for corporation, but also for research organisations to perform cost-effective and profitable patent strategies on intellectual capital.

The effects of integrated reporting quality (IRQ) have been debated in increasing empirical studies. Several IRQ measures, different theoretical approaches and multiple contexts have been adopted and investigated, leading to mixed results. By using the meta-analytic technique, this study aims to contribute to the accounting literature, reconciling the conflicting results on the effects of IRQ and providing objective conclusions to complement narrative literature reviews.

A sample of 45 empirical papers from 2013 to 2022, with 653 effect sizes, was used to assess the effects associated with IRQ. The papers were clustered into five groups (market reaction, financial performance, cost of capital, financial analysts’ properties and managerial decisions) based on the different consequences of IRQ investigated in the primary studies. A random-effects meta-regression model was used to explore all sources of heterogeneity together.

The meta-regression results confirm that IRQ positively influences firms’ market valuation and financial performance and hampers opportunistic managerial behaviour by improving corporate transparency, mitigating information asymmetry and encouraging accountability. Moreover, differences in the study characteristics affect the strength of the relationship object of interest.

Through meta-analysis, this study provides a broader overview of the effects of IRQ by enhancing the generalisability of the findings. The results also pave the way for additional evidence on the outcome variables affected by the quality of integrated disclosure.

This study aims towards developing a conceptual framework by systematically reviewing the available literature with reference to job crafting under the lens of an emerging economy from South Asia, i.e. India, which is the largest country and the largest economy in the South Asian region.

The study employs a hybrid methodology of a systematic literature review (SLR) and bibliometric analysis using VOSviewer and Biblioshiny. Bibliometric analysis provides glimpses into the current state of knowledge like-trend of publication, influential authors, collaboration with foreign authors, the major themes and studied topics on job crafting in India etc. Further, a detailed SLR of the selected articles led to the development of the conceptual framework consisting of the enablers and outcomes of job crafting.

It discusses implications for academia, business and society at large, and also provides valuable insights to policymakers and practitioners paving the way for better adoption, customization and implementation of job crafting initiatives.

Owing to its own unique social, cultural, and economic characteristics, the dynamics of job crafting in India may vary from other countries and regions which can also be reflective of how job crafting operates in South Asia in general. As job crafting was conceptualized and later evolved mostly in the western context, our study assumes greater significance as it is the first study which attempts to systematically review the job crafting literature to understand how job crafting manifests in the Indian context and presents a conceptual framework for the same.

This research aims to investigate the symbiotic relationship between work and family life among doctors in India, with a focus on work–family enrichment (WFE) as a positive interplay. The study seeks to examine the impact of two aspects of WFE, namely, work-to-family enrichment (WTFE) and family-to-work enrichment (FTWE) on job satisfaction (JS) and life satisfaction (LS), while exploring the mediating role of self-efficacy (SE).

The research employs a comprehensive survey to gather data from Indian doctors. The survey includes measures of WTFE, FTWE, JS, LS and SE. Structural equation modeling (SEM) was employed to examine the proposed connections among the research constructs, using IBM AMOS v.23.

The findings reveal that WTFE significantly impacts both JS and LS. However, FTWE does not show a direct influence on JS, though it does positively impact LS. SE plays a noteworthy role, having a strong direct influence on both job and life satisfaction. In terms of indirect influence, WTFE impacts job and life satisfaction through the mechanism of SE. Nevertheless, no significant indirect effect was found between FTWE and both types of satisfaction through SE.

This research presents several original contributions to the study of work–life balance among healthcare professionals. Firstly, its unique geographic focus on North India distinguishes it from existing literature, offering fresh insights into the experiences of doctors in this region. Moreover, the study's multifaceted examination of WFE, SE, JS, and LS introduces a comprehensive perspective seldom seen in current research.

This study examines the relationship between emotional intelligence, self-efficacy and organizational commitment, focusing on the mediating role of self-efficacy in the relationship between emotional intelligence and organizational commitment.

The authors used an online survey to collect data for this purpose. The sample consisted of 145 employees of different organizations in Kosovo. To test the hypothetical model, a mediation analysis was conducted using PROCESS Model Type 4.

The results show that emotional intelligence is positively related to self-efficacy and that self-efficacy is positively related to organizational commitment. Furthermore, the results of the mediation analysis confirm that the relationship between emotional intelligence and organizational commitment is mediated by self-efficacy.

For future research, the authors recommend using the sub-dimensions of the above variables to test this model, and multiple models could be formulated. At the same time, the survey can be applied to managers to examine their emotional intelligence and to determine whether emotional intelligence influences their organizational commitment through self-efficacy. Consistent with the findings of this study, managers and executives in organizations should consider the emotional intelligence of their employees and that the employees with higher emotional intelligence have higher self-efficacy and can perform better.

This study extends the current literature in organizational behavior and provides a comprehensive understanding of the relationship between emotional intelligence, self-efficacy and organizational commitment. This study was also conducted in a developing country context, which can always lead to different results than studies conducted in developed countries.