Purpose: – Knowledge sharing adoption has been considered as a significant practice for organizations. However, there is a modest empirical confirmation to indicate how these organizations value the richness of their knowledge capabilities. The purpose of this paper is to investigate both transformational and transactional leadership styles that influence employees’ knowledge sharing practices, and the impact of the latter on job performance, and then on firm performance. Design/methodology/approach: – Data collected from 179 employees at the higher council of youth in Jordan were empirically tested using structural equation modelling. Findings: – The findings revealed that both transformational and transactional leadership styles have significant impact on job performance, and the latter on firm performance. Also, it was found that transactional leadership impacted knowledge sharing, whereas transformational leadership did not. Originality/value: – This research proposes a new approach to understand knowledge sharing adoption, and outlines some theoretical and managerial implications of the findings.

Purpose: The purpose of this paper is to examine the mediating effect of intellectual capital and innovation on the relationship between transformational and transactional leadership and organizational performance in Jordanian banks located in Irbid city.Design/methodology/approach: A questionnaire that targeted 350 respondents resulted in 298 usable ones with a response rate of 85.14 percent. To test the research hypotheses, a structural equation model was conducted, in addition to descriptive statistics that provided background on the respondents.Findings: The findings indicate that transformational and transactional leadership relate positively to organizational performance. The results also support the argument that intellectual capital and innovation played mediating roles in transformational and transactional leadership and organizational performance.Practical implications: The present study provides managers with empirical proof that possessing strong intellectual capital in its three dimensions seems to help the banking sector in Jordan to reinforce their ability to generate both radical and incremental innovation. Also, applying an effective leadership style will motivate and lead to superior performance.Originality/value: Although papers have shown that leadership style is an important factor influencing employees' performance and outcomes, this is one of the few studies that investigates the interrelationships between leadership styles, intellectual capital, and innovation on organization performance. Furthermore, it is the first to test the model on the banking sector in Jordan.

Purpose: This research aims to examine the factors that may hinder or enable the adoption of e-learning systems by university students.Design/methodology/approach: A conceptual framework was developed through extending the unified theory of acceptance and use of technology (performance expectancy, effort expectancy, hedonic motivation, habit, social influence, price value and facilitating conditions) by incorporating two additional factors, namely, trust and self-efficacy. Data were collected from students at two universities in England using a cross-sectional questionnaire survey between January and March 2015.Findings: The results showed that behavioral intention (BI) was significantly influenced by performance expectancy, social influence, habit, hedonic motivation, self-efficacy, effort expectancy and trust, in their order of influencing the strength and explained 70.6 per cent of the variance in behavioral intention. Contrary to expectations, facilitating conditions and price value did not have an influence on behavioral intention.Originality/value: The aforementioned factors are considered critical in explaining technology adoption but, to the best of the authors’ knowledge, there has been no study in which all these factors were modeled together. Therefore, this study will contribute to the literature related to social networking adoption by integrating all these variables and the first to be tested in the UK universities.

Aim/Purpose: The objective of this study was to assess the interrelationships among knowledge management infrastructure, knowledge management process, intellectual capital, and organization performance. Background: Although knowledge management capability is extensively used by organizations, reaching their maximum financial and non-financial performances has not been fully researched. Therefore, organizations need to optimize their performance by exploiting knowledge management capability through the accumulation of intellectual capital, where the new competitiveness is shifting from tangible to intangible resources. Methodology: This study adopted a positivist philosophy and deductive approach to accomplish the main goal of this research. Moreover, this research employed a quantitative approach since this study is concerned with causal relationship between variables. A questionnaire-based survey was designed to evaluate the research model using a convenience sample of 134 employees from the food industry sector in Jordan. Surveyed data was examined following the structural equation modeling procedures. Contribution: This study highlighted the potential benefits of applying the knowledge management capabilities, intellectual capital, and organizational performance to the food industrial sector in Jordan. Future research suggestions are also provided. Findings: Results indicated that knowledge management infrastructure had a positive effect on knowledge management process. In addition, knowledge management process impacted positively intellectual capital and organization performance and mediated the relationship between knowledge management infrastructure and intellectual capital. However, knowledge management infrastructure did not positively associate to organization performance. Recommendations for Practitioners: The current model is designed to help managers and decision makers to improve their management capabilities as well as their organization financial and non-financial performance through exploiting the organizational knowledge management infrastructure and intellectual capital approaches. Recommendation for Researchers: Our findings can be used as a base of knowledge to conduct further studies about knowledge management capabilities, intellectual capital, and organization performance following different criteria and research procedures. Impact on Society: The designed model highlights a significant organizational performance approach that can influence Jordanian food industrial sector positively. Future Research: The current designed research model can be applied and assessed further in other sectors including banking and industrial sectors across developed and developing countries. Also, we suggest that in addition to focusing on knowledge management process and intellectual capital as mediating variables, future research could test our findings in a longitudinal study and examine how to affect financial and non-financial performance.

Mobile banking is a service provided by a bank that allows full remote control of customers’ financial data and transactions with a variety of options to serve their needs. With m-banking, the banks can cut down on operational costs whilst maintaining client satisfaction. This research examined the most crucial factors that could predict the Jordanian customer’s continued intention toward the use of m-banking. Following the proposed model, the research was conducted by using a self-conducted questionnaire and the responses were collected electronically from a convenience sample of 403 Jordanian customers of m-banking through social networks. The suggested model was adapted from the theory of planned behavior (TPB), the unified theory of acceptance and use of technology (UTAUT), and the technology acceptance model (TAM). The research model was further expanded by considering the factors of service quality and moderating factors (age, gender, educational level, and Internet experience). The collected data of customers were analyzed, validated, and verified by using a structural equation modeling (SME) approach including a confirmatory factor analysis (CFA), in addition to machine learning (ML) methods, artificial neural network (ANN), support vector machine (SMO), bagging reduced error pruning tree (RepTree), and random forest. Results showed that effort expectancy, performance expectancy, perceived risk, perceived trust, social influence, and service quality impacted behavioral intention, whereas facilitating conditions did not. Furthermore, behavioral intention impacted upon word of mouth and facilitating conditions (the latter regarding the continued intention to use m-banking), and had the highest coefficient value. Results also confirmed that all moderating factors affect the behavioral intention to continue using m-banking applications.