Businesses are trying to flourish and adapt to the various challenges they encounter in today's competitive environment by improving their organizational performance. In order to achieve better results and higher profit margins organizations are adopting various emerging business tools and management philosophies. Business performance relates to the achievement of a firm's strategic objectives and growth goals. Both financial and non-financial measures should be used to enable a firm to make efficient strategic decisions and to measure long term success. The purpose of this paper is to reviewing the literature regarding the mediating role of job satisfaction on the impact of employee engagement on organizational performance.

Social media influencers have proved to be a major influence on customers’ purchasing decisions, especially with the increased usage of social media platforms. Social media influencers provide many opportunities for companies to increase their customer base and sales, and to enhance the attitude towards a brand. Despite the advantages of utilizing social media influencers, there are factors that social influencers need to take into consideration in order to engage customers and influence their decisions to purchase. The purpose of this study is to examine the factors that influence customers’ intention to purchase based on social media influencers. An online questionnaire was used to collect data from 439 Instagram platform users. A partial least square-SEM (PLS-SEM) approach was used to analyze and examine the proposed model. The results indicate that all constructs, namely Information Quality (IQ), Trustworthiness (TRU), Attractiveness (ATT), Meaning Transfer (TRA) and Expertise (EXP) significantly influence customers’ purchase intentions. This finding could provide insights for companies’ decision-makers when it comes to promoting their brands and increasing their sales. In addition, it could provide insights for social media influencers in terms of recognizing the important factors that encourage customers to engage and purchase.

Purpose The purpose of this study is to investigate the influence of perceived security, perceived privacy, and satisfaction on Facebook user continuance intention. In addition, the serial multiple mediating effects of trust and satisfaction on the relationship between continuance intention and Facebook determinants are explored. This study also investigates the moderating role of Facebook addiction on the relationship between satisfaction and continuance intention. Design/methodology/approach To achieve the study aims, an online survey was conducted among university undergraduate students. Data were collected from 450 voluntary participants. The statistical analysis was performed using SPSS and PROCESS macro models. Findings The study results confirm that perceived privacy and satisfaction have significant impacts on Facebook continuance intention. The path analysis results confirm the full mediating roles of trust and satisfaction in the relationship between perceived security and continuance intention. Furthermore, the moderating role of Facebook addiction on the relationship between satisfaction and continuance intention is confirmed. Practical implications The results of this study offer insights to Facebook managers and policymakers regarding the treatment of and intervention in Facebook continuance intention. The results disclose the critical role of users' satisfaction and perceived privacy in influencing Facebook users' continuance intention for Facebook managers and policymakers. This confirms that Facebook managers and policymakers must maintain user privacy to increase the level of user satisfaction and continuance intention. Furthermore, they must ensure that the requisite security mechanisms are in place to increase user trust and satisfaction that influence users’ continuance intention. Originality/value This research integrated perceived privacy, perceived security, and trust with an Information System (IS) success model. This is the first study to investigate the serial mediating effects of trust and satisfaction on the determinants of Facebook continuance intention. The moderating effects of Facebook addiction on the relationship between satisfaction and continuance intention are also examined. The study results make important contributions to Facebook continuance intention research and advance scholarship into aspects of undergraduate students’ continuance intention in the context of Facebook.

Cloud computing technology has proved to be an important technological solution, especially for small and medium- sized businesses (SMEs), by providing many opportunities for companies to enhance their operations, reduce cost, improve scalability and flexibility, and make more efficient use of technology. Despite its benefits, most SMEs are still hesitant about adopting cloud computing. The purpose of this study is to assess the factors that influence cloud computing adoption among SMEs in Jordan. This study does so by developing a research model based on the Technology Organization Environment (TOE) and Diffusion of Innovation (DOI) .These theories overlap in terms of the characteristics that strengthen the explanation of adoption. An online questionnaire was used to collect data from 244 SMEs registered in Jordan. A multiple regression test was implemented to examine the proposed model. The results indicate that seven factors significantly affect cloud computing adoption among SMEs. Among these factors, cost reduction was found to be the strongest predictor, while the weakest predictor was firm size. However, the firm’s scope insignificantly influenced cloud computing adoption among SMEs in Jordan. This finding could provide insights for SMEs decision- makers when it comes to adopting cloud computing. In addition, it provides insights for practitioners in terms of recognizing the important factors that encourage or prevent SMEs from adopting cloud computing.

This study aims to investigate the main technological and socio-environmental factors influencing the adoption intentions with regard to AI-based technologies at the organizational level. A conceptual model based on innovation diffusion theory (DOI) and the technology-organization-environment (TOE) framework is proposed and tested empirically using survey-based data collected from 512 senior IT/IS managers in public/private organizations located in Jordan. The results indicate that relative advantage, top management support, cost-effectiveness, competitive pressure, vendor support, compatibility, AI strategic alignment and availability of resources, positively influence the intention to adopt AI-based technologies. The analysis demonstrated that the influence of market uncertainty on adoption intentions is insignificant. It was found that government regulation and complexity negatively influence adoption intentions. The findings of the study would be valuable for AI-based technology providers, IT managers and top management in organizations, and government bodies, in terms of building effective policies to promote the successful adoption of AI-based technologies.