Social media is considered a dominant platform for ensuring business success and survival, especially in the case of small and medium enterprises businesses (SMEs). It offers many benefits for businesses in terms of enhancing customer relations, increasing profit, reducing cost, and allowing �?exibility. During the Covid-19 pandemic crisis, social media has become essential for businesses. The focus has shifted to conducting businesses’ daily activities remotely. Despite its importance, this research aims to explore factors that affect social media implementation on the part of SMEs in Jordan. The Technological, Environmental, and Organizational (TOE) and the Technology Acceptance Model (TAM) has been employed. These theories provide useful insights and explanations with regard to the internal and external contexts of social media adoption. Data was collected from 250 SMEs in the city of Irbid, north Jordan. The results reveal that all factors significantly affect social media adoption on the part of SMEs. Among these factors, environmental context was the most significant predictor of social media adoption during the Covid-19 pandemic crisis; this finding could provide a good basis for SME decision-makers and practitioners regarding assessing the factors that in�?uence social media implementation on the part of SMEs.
Smart Tourism Destinations (STD) are becoming significantly important for providing personalized tourism products and hospitality services via a digital platform to enhance a highvalue experience and gain a competitive advantage for business. The objective of this study is to study the impact of smart tourism destinations that affect the revisit intentions during the COVID 19 pandemic in Thailand. Data was collected from 498 samples and a Structural Equation Model (SEM) was adopted. The findings supported the revisiting behavioral intention model which indicated that the overall satisfaction of tourist is reflected in the use of STD. The results found that the use of STD, travel experience, satisfaction, and revisiting intention are positively significant. The perceptions of smart tourism on revisiting intentions are significant. A significant relationship was observed between STD indirectly affecting travel experience (0.954), travel experience directly affecting satisfaction (0.870), satisfaction directly affecting revisiting intention (0.731), travel experience directly affecting revisiting intention (0.281) and finally, travel experience in-directed (0.248). The Relative Chi-square (χ2/df) of 1.247 indicates that the model is suitable. The Comparative Fit Index (CFI) is 0.997, the Goodness Fit Index (GFI) is 0.956 and the model based on the research hypothesis is consistent with the empirical data. The Root Mean Square Error of Approximation (RMSEA) is 0.032.
Accurate stock price prediction is considered complex;however, the autoregressive integrated moving average (ARIMA) model has proven credible in various linear and non-linear methods of times series forecasting The Johannesburg Stock Exchange (JSE) is the largest stock exchange in Africa with market capitalisation of over 850 billion USD The objective of the paper is to determine an optimal ARIMA model for forecasting share price index of the JSE The study used a three-step iterative quantitative approach in determining the optimal ARIMA model to be used in forecasting the share price index The study confirmed that the ARIMA (4, 1, 4) model is stable and most suitable model to forecast the stock price index of South Africa for the next two years
