Cloud computing (CC) has been used in several industries and domains. However, the use of CC in governmental organization is still limited. The purpose of this study is to examine the CC usage among governmental organizations in Saudi Arabia. The population of this study are Information technology (IT) professionals working for governmental organizations in Saudi Arabia. Purposive sampling was used to collect the data from the respondents. The questionnaire was distributed, and 211 valid responses were collected. The analysis was conducted using Smart PLS 4.0. The findings showed that perceived usefulness (PU), perceived ease of use (PEOU), external influence, security but not privacy have significant effects on CC usage. The findings also showed that technological readiness moderated the effect of PU, external influence, and security on CC usage. Decision makers are recommended to enhance the perception of the benefit of CC and conduct more training courses to ease the usage of CC.

The Internet of Things (IoT) is an innovative technology that has the potential to help public hospitals better meet the demands of hospitalization. However, only a small portion of the research looked at patients' behavioural intentions (BI) to utilise IoT healthcare devices (IoTHD). This study intends to investigate the variables that influence the BI's use of IoTHD. The research suggests that the BI may be explained by factors of UTATU. The patients of public hospitals make up the population. A questionnaire was used to obtain the data using convenience sampling. Participants in this research totalled 161. Smart Partial Least Square results demonstrated that social influence (SI) has an impact on performance expectancy (PE). Technological complexity (TC) and playfulness (PP) had an impact on effort expectancy (EE). Additionally, the BI to adopt IoTHD was impacted by PE, EE, perceived security (PS), and perceived privacy (PV). The impact of PE and EE on BI to use IoTHD was not moderated by the facilitating conditions (FC). In order to improve patients' perceptions of IoTHD usage in public health organisations, simple process and more positive word of mouth is required.

The Internet of Things (IoT) has become essential for business. The adoption rate of IoT has dropped recently and this could be due to security, privacy, and trust issues. Blockchain (BC) has the potential to mitigate the risk of security, privacy, and trust. However, few studies examined the integration between IoT and BC in the context of developing countries. The purpose of this study is to examine the predictors of IoT adoption by telecommunication companies in the Gulf Cooperation Council (GCC). In addition, the study aims to examine the moderating role of BC as well as the effect of using IoT and BC on the competitive advantage of companies. Based on technology acceptance model, social exchange theory, and resource-based view, the study proposed that security, privacy, trust, communication quality, perceived ease of use (PEOU), and perceived usefulness (PU) affect positively the adoption of IoT. BC is proposed as a moderating variable and expected with IoT to affect the competitive advantage of companies. The population includes all the telecommunication companies in GCC. Data was collected using purposive sampling from IT professionals. The results of data analysis using SmartPLS showed that security, privacy, trust, PU, and PEOU positively affected the adoption of IoT. BC and IoT adoption have a positive effect on competitive advantage. Further, BC moderated only the effect of security and privacy on the adoption of IoT. Services providers must enhance the security, privacy, and trust of IoT services by deploying BC technology. Effective integration of IoT and BC will lead to the achievement of competitive advantages.

Online information privacy has become a developing social worry that may hinder individuals' social site associations. The motivation behind this investigation is to dissect the effect of an err toward privacy and the social presence of a website on a person's privacy concerns about the website. Data were collected from 650 respondents in Saudi Arabia. The findings indicate a significance influence of informativness, social presence, utility of website, perceived severity, and self-efficacy on website-specific privacy concerns. Furthermore, privacy concerns have a significant influence on behavioural intentions. This study also extends the information privacy literature through the analysis of the drivers and outcomes of online privacy concerns in the social network context.

Data is essential for making decisions. However, these data should be appropriately collected and analyzed by capable managers. Few studies examined the effect of data characteristics (DC) and top management characteristics (TMC) on decision-making capability (DMC). In addition, few examine the application of artificial intelligence enterprise resource planning (AIERP) in this process. The purpose of this study is to examine the effect of DC and TMC on DMC. Building on existing theories and studies, this study proposed that DC (data integrity, data quality, data authentication, and data error) significantly affect the DMC. In addition, TMC (data analytical capability and technological innovation) significantly affect the DMC. AIERP is predicted to have a mediator role between DC and TMC, and DMC. Business analytical capability (BAC) is anticipated as a moderating variable. The data was collected from technological companies in the Gulf Cooperation Council (GCC). A purposive sampling technique was deployed. The findings using SmartPLS 4.0 showed that DC and its components expect data authentication and TMC and its components have significant effects on DMC. AIERP mediated the effect of DC and TMC on DMC while BAC did not moderate the effect of DC and TMC on DMC. Decision-makers have to focus on collecting high-quality data and ensuring the data is free from error. Decision-makers also have to use technology to enhance the quality and effectiveness of decisions.