The rise of social media has transformed the way of collaboration between organisations and customers. Social content resulting from the active collaboration between both parties on a social media platform should be managed accordingly. Thus, a social content management (SCM) framework should be developed as a guide to manage the social content. Such SCM framework should be able to augment existing frameworks, which mainly focuses on the value of social content for the organisations. Hence, based on the service science perspective, this article proposes a SCM framework that focusses on value to both organisations and its customers. In order to do this, the concept of Service Dominant Logic and the DART model are adopted to explore and extract the elements and factors that collectively become the dimensions of the proposed SCM framework. Experts’ review of the elements and factors is conducted to ensure that the dimensions in the SCM framework are acceptable and have practical value. The proposed framework is then validated via an instrument whose content validity is investigated by using Lawshe’s Technique. This framework could assist the organisations in decision-making process towards innovating services and in the management of social content.

Financial sustainability in higher education is increasingly fragile due to policy shifts, rising costs, and funding volatility. Legacy early-warning systems based on static thresholds or rules struggle to adapt to these dynamics and often overlook fairness and interpretability—two essentials in public-sector governance. We propose a university financial risk early-warning framework that couples a causal-attention Transformer with Multi-Objective Bayesian Optimization (MBO). The optimizer searches a constrained Pareto frontier to jointly improve predictive accuracy (AUC↑), fairness (demographic parity gap, DP_Gap↓), and computational efficiency (time↓). A sparse kernel surrogate (SKO) accelerates convergence in high-dimensional tuning; a dual-head output (risk probability and health score) and SHAP-based attribution enhance transparency and regulatory alignment. On multi-year, multi-institution data, the approach surpasses mainstream baselines in AUC, reduces DP_Gap, and yields expert-consistent explanations. Methodologically, the design aligns with LLM-style time-series forecasting by exploiting causal masking and long-range dependencies while providing governance-oriented explainability. The framework delivers earlier, data-driven signals of financial stress, supporting proactive resource allocation, funding restructuring, and long-term planning in higher education finance.

IT business developers in the recent decades have been focusing on information technology, and the tourism sector is not excluded from this subject. Training and development in organizations have come to be seen as a normal cost of doing business in order for companies to maintain their productivity and to stay competitive in the marketplace. Virtual team commitment is the most influential factor in the justification of organizational performance and success. Some related studies on e-tourism performance, and e-training and development conditions have been made. However, useful recommendations for virtual team job performance enhancement in e-tourism organizations with direct role of virtual team training and development, and the effects of virtual team organizational commitment in this relationship have not been recognized as well. Hence, this paper will focus on the relationship between E-training in virtual team and IT project performance with the mediation role of the organizational commitment in the E-Tourism category. The main goal is in finding useful recommendations in improving the virtual team job performance in virtual IT organizations by improving the Etraining and development, and the virtual team's organizational commitment in E-tourism. The reason for this study is based on the need for change in most industries and organizations, involving both the traditional and virtual teams, in creating the necessity for newly planned development to follow the direction of the external and internal work environment. Based on these findings, it can be concluded that the support for employee participation in training programs increases the perception of accessibility to training programs among the employees, and organizational commitment is an extremely important factor which affects the productivity and efficiency of an employee at a workplace.

Developing and Validating an Instrument for Social Content Management

E-learning is a teaching system that involves electronic resources such as computers and the Internet, and the student portal is an essential tool that supports learning in universities. However, there is a limited evaluation model for educational websites. Therefore, a framework is required to guide the creation of such a model. The study conducted evaluates the quality of the student portal at Al-Madinah International University based on ISO 9126 quality model from the student's perspective, and the results show a good quality portal. Nonetheless, students suggest improvements to enhance its effectiveness, ease of use, and learning process.