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Gear transmissions are widely utilized in practice. This paper aims to uncouple the crack feature from the cracked time-varying mesh stiffness (TVMS) and investigate the effects of the crack on the nonlinear dynamics of a spur gear pair.

An approximate method to simulate the cracked TVMS is proposed by using an amplitude modulation function. The ratio of mesh stiffness loss is introduced to estimate the TVMS with different crack depths and angles. The dynamic responses are obtained by solving a torsional model which takes the non-loaded static transmission error, the backlash and the cracked TVMS into account. By using the bifurcation diagram, the largest Lyapunov exponent (LLE) and dynamic mesh force, the influences of crack on nonlinear behaviors are examined. The dynamic characteristics are identified from the phase diagram, Poincaré map, dynamic mesh force, time series and FFT spectra.

The comparison between the healthy and cracked gear pairs indicates that the crack affects the system motions, such as the obvious changes of impact force and unpredictable instability. Besides, the additive and difference combination frequencies can be found in periodic-1 and -2 motions, but they are covered in periodic-3 and chaotic motions. Deeper crack is an important determinant of the nonlinear behaviors at a higher speed.

The research provides an interesting perspective on cracked TVMS and reveals the connection between crack and nonlinear behaviors of the gear pairs.

The purpose of this paper is to evaluate the influence of perceived organizational support on employees’ performance in information technology (IT) firms in Pakistan and Saudi Arabia. Organizational support is critical as it ensures support given by the organization to workers and to complete one’s job proficiently and effectively.

Data were collected from IT firm employees through a self-administered questionnaire survey where a total of 400 questionnaires were distributed, i.e. 200 in each country’s IT firms. A total of 383 completed questionnaires were received (190 from Pakistan and the remaining 183 from Saudi Arabia) representing a response rate of 95%. The hypothesis was tested using confirmatory factor analyzes and direct relations were confirmed using AMOS v24.

The results indicate that perceived organizational support and affective commitment have a significant positive impact on employee performance. Findings of the study show that perceived organizational support and affective commitment directly and significantly correlated (r = 0.439**; p < 0.05) (r = 0.489**; p < 0.05) with employee performance. On other hand, results of structural equation modeling indicate that perceived organizational support and affective commitment have a significant and positive impact (ß = 0.284; p < 0.01) and (ß = 0.370; p < 0.01) on employees’ performance. Moreover, affective commitment partially mediates the relationship between perceived organizational support and employee performance.

The outcomes are not generalized, as the researcher analyzed working employees in the IT firms in Saudi Arabia and Pakistan. The relationship between perceived organizational support and employees’ performance may be checked in a longitudinal study. If all items are considered because of the ambiguity of human feeling and acknowledgment, it is hard to precisely assess employees’ performance and their needs. This research proposes a straightforward and handy model that supports managers to feature the most powerful factors in building up their employees’ performance.

This study proposes managers to give chances to proficient advancement, improved occupation and satisfying the necessities identified through deference, mindfulness and endorsement. Furthermore, they ought to make more good working conditions, for example, preparing chances to support workers in their wants for self-improvement and accomplishment. The research additionally recommends recording the unmistakable standard operation procedure to clarify the understanding of the employees. In addition, managers ought to invest sensible energy with their front-line employees through socialization and training. These efforts could limit fatigue work, enhance organizational duty and performance.

This study aims to investigate earnings management practice of classification shifting of revenues in Chinese-listed firms.

The study employs a dataset of 2,920 A-listed firms from Chinese stock exchanges of Shanghai and Shenzhen for the period of 2003–2019. We apply both univariate and panel regression analysis by using fixed effect estimation with robust standard errors.

Our findings reveal that firms misclassify revenues by taking advantage of the flexibility provided by applicable financial reporting standards. The empirical evidence obtained through regression analysis suggest that managers reclassify non-operating revenues as operating revenue to alter the economic reality while seeking the advantage of financial reports users’ vulnerability for valuing the upper half of income statement items more as compared to lower part. The results further indicate that international financial reporting standards adoption inhibits the earnings management practices using classification shifting of revenues. It is also concluded that firms, which are suffering losses or having low growth, are more persistently involved in misclassification of revenues.

The study is unique from the point of view that it investigates earnings management from the prospective of revenue’s classification in an emerging market characterized by various market imperfections such as lower investor protection and higher information asymmetry.

The purpose of the study was to evaluate the impact of Introduction of Smart Teaching and Learning (INSTAL) project on students' academic achievements in terms of students' science scores. Information and communication technologies (ICT)-based initiative was introduced in Sindh Education Foundation (SEF) schools at District Khairpur, Sindh, Pakistan. The aim of the study was to identify whether science test scores of students have been improved with the use of INSTAL facility at schools or remained the same at SEF-supported schools.

The quantitative research approach has been used in the current study, and within it a quasi-experimental research design was employed. The descriptive (mean, standard deviation) and inferential statistics (independent sample t-test and paired sample t-test) were computed to find the pre- and post-difference in science scores of students. Both primary and secondary data were used. The primary data were gathered through questionnaire from 48 science teachers. Whereas, secondary data of 382 students who used ICT-based facility under INSATL project for two academic years were taken from quality assessment test (QAT) scores conducted by third party in SEF-assisted schools in District Khairpur.

The findings of the study revealed that the students' science scores improved by 10% in one year and 23% in two years with the use of ICT-based facilities under INSTAL project. Also, it can be concluded from the results that ICT has a positive as well as statistically significant impact on students' science learning by using INSTAL facility in schools. Results of the study show that students' level of interest toward learning science has been enhanced by the use of ICT.

As the world is rapidly moving toward digitalization, the modes of teaching and learning have been changing. ICT plays a very significant role in the betterment of education. ICT helps to achieve socio-economic development of a country. However, Pakistan, being a developing country, has not that much resources, and ICT-based learning is not common in Pakistan. Therefore, it is very important to be aware people about the usage of technology in teaching and learning. The present study is an attempt to create such type of awareness. Moreover, the current study may be the first kind of study in the context of Pakistan which used TPACK as theoretical framework, and this study may contribute to the body of knowledge in the context of ICT.

Implementing ICT-based software for teaching and learning in rural context of Pakistan was a challenging task, but it has brought positive results in terms of student's achievement. This may be the first study that has been conducted in the context of adopted schools of SEF.

This study aims to reconcile and address Bowman’s paradox empirical criticism from the lens of financial theory, corporate strategy and their econometric adversaries based on three issues, i.e. risk conceptualization, measurement and econometric modeling in Asian emerging countries (AEC).

The study is conducted on panel data sampling from 2,872 firms across four Asian Emerging Countries (AEC) and employs a two-stage least squares (2SLS) estimation technique. We proposed a theoretical framework based on triangulation that outlines four risk-return relationships based on proxies derived from capital market and firm-level data and used different econometric models to answer Bowman’s paradox ongoing criticism.

The empirical results negate the empirical artifact viewpoint in AEC. The risk-return relationship estimated on firm accounting-based ratios or its combination with market-based measures supports Bowman’s paradox and thus upholds the corporate strategy point of view. Whereas the risk-return relationship based on market-based ratios upholds the financial theory point of view. However, the results are mixed when risk is subdivided into systematic and business risk. Our results are robust across standard deviation and semi-standard deviation-based measures of risk, and there is no evidence of a non-linear relationship.

A compelling debate exists that Bowman’s paradox is an empirical artifact. We provide an innovative approach that aims to reconcile and address the ongoing debate by employing diverse risk-return proxies and econometric models in Asian emerging countries. Methodological issues such as endogeneity, sample biases, temporal fluctuations, downside risk variations, multiple moments of a variable and model misspecification are also addressed. This triangulation enhances the robustness of our analysis, providing a comprehensive perspective on AEC and laying the groundwork for future researchers to explore Bowman’s paradox through alternative measures and models.

Innovation has become a necessity for the information technology (IT) sector, especially during COVID-19 pandemic. Therefore, this study aims to investigate how knowledge sharing affects employees’ innovative work behavior (IWB). Specifically, the study examined occupational self-efficacy (as mediating mechanism) and entrepreneurial leadership (as boundary condition) to encourage IWB.

The study used social media platforms to collect data from 270 employees working in the IT sector through “google forms” on convenience basis between March and August, 2021. The study applied structural equation modeling in two stages to examine the measurement model (for uni-dimensionality) and the structural model (for hypotheses testing).

The study noted that knowledge sharing positively affects employees’ IWB and occupational self-efficacy positively explains this association. In addition, employees’ perception of entrepreneurial leadership strengthens the association between knowledge sharing and IWB.

The study collected data from a developing country during COVID-19 by using a cross-sectional design that may restrict causality. However, the findings suggest the management not only encourages knowledge sharing environment but also engages employees in various training that motivate them to experiment with new ideas and techniques.

This study extends the existing literature on knowledge sharing and IWB by exploring occupational self-efficacy as mediating mechanism and entrepreneurial leadership as a boundary condition.

This study aims to verify the significance of Andersen (2008) corporate risk management (CRM) framework in Asian emerging markets (AEMs) to control firm risk and improve firm performance.

The cross-sectional analyses are performed on a sample of 4,609 firms across nine Asian emerging countries using 2SLS estimation technique.

The empirical findings show that the adoption of CRM not only enhances firm performance by increasing the firm ability to capitalize on the market opportunity but also plays a significant role in reducing firm risk. The findings of this study assert that by institutionalizing risk management practices into an integrated CRM framework, the firm can reap multiple benefits by maintaining better contractual agreements and strategic partnerships with key stakeholders.

The study shifts the focus of CRM away from Western countries toward AEMs, which has been afflicted by high risks and uncertainties. The effectiveness of CRM against firm risk is established by dividing firm risk into firm-specific risk and systematic risk. Furthermore, this study also establishes that CRM not only leads to high returns but also reduces firm operational and production costs. Overall, the study provides a compelling argument to implement CRM for improving organizational performance and managing risks in a strategic and integrated manner. The findings are also relevant to risk management practitioners, as well as to academicians interested in the broader fields of corporate finance and strategy.

This study aims to extend Bowman's risk–return paradox to Asian emerging markets and explain its causes under the prospect theory.

The study is conducted on a cross-sectional sample of 4,609 firms across nine Asian emerging countries. The two stage least squares (2SLS) estimation technique is used to evaluate the three objectives of the study, i.e. Bowman's risk–return paradox, significance of firm-specific risk and prospect theory explanation of Bowman's paradox.

The authors challenge the two basic financial economics arguments that higher risk is rewarded with higher return, and firm-specific risk is diversifiable. The empirical findings confirm the negative impact of firm-specific and systematic risk on firm return, thus, corroborates the Bowman's explanation of risk–return trade-off. However, the authors did not find empirical evidence to support prospect theory's explanations of Bowman’s paradox in Asian emerging markets.

A holistic approach is adopted to analyze the various aspects of Bowman's paradox and its causes for the same time period, variables and sample. The authors also rectified several methodological limitations observed in previous studies, i.e. the use of same proxies for firm return and risk, endogeneity and survivorship issues. Furthermore, the findings of this study will enable managers to formulate critical viewpoint on firm-specific risk and systematic risk and take informed strategic decisions regarding optimum utilization of their firm's key resources in Asian emerging markets.

The present study focused on information literacy education through a unique research lens, i.e. the Delphi process in developing countries. The primary aim of the study is to formulate an information literacy framework for higher education.

In total 13 experts from the field, including academicians and practitioners, were invited to build consensus on the components of an information literacy curriculum for library and information sciences or management postgraduate students.

The Delphi process was completed in three reasonable rounds to build consensus on eight information literacy course units, including computer, research, critical, information, domain-specific knowledge and copyright literacies in line with learning and communication skills. The panelists considered computer, research and critical literacies as the most significant components of an information literacy curriculum for postgraduates.

The proposed framework of information literacy curriculum may have considerable implications for educators, practitioners and researchers.

The study is unique as it focuses on developing a contextual and comprehensive information literacy education framework for information professionals.

Knowledge sharing has become necessary for organizations as it is a source of competitive advantage. Therefore, this study aims to investigate how empowering leadership through psychological empowerment encourages employees’ knowledge-sharing (KS) behavior. This study further explores the moderating role of learning goal orientation (LGO) between psychological empowerment and KS behavior.

This study collected data from 423 employees working in manufacturing and service organizations in two waves on convenience basis to tackle common method variance. The data were analyzed through structural equation modeling.

The results revealed that empowering leadership helps employees modify their KS behavior both directly and indirectly in the presence of psychological empowerment. Moreover, individuals high in LGO are more likely to involve in KS behavior when psychologically empowered.

This study used a cross-sectional design and suggests management focus on their working environment to enhance knowledge sharing among employees, which is possible through empowering leaders. The study further suggests management not ignore individual attributes during recruitment.

Drawing upon job characteristics model and social exchange theory, this study explores the mediating role of psychological empowerment between empowering leadership and KS behavior and the moderating role of LGO on the association between psychological empowerment and KS behavior.