The aim of this cross-sectional study was to investigate the factors associated with trust in AI algorithms used in the e-commerce industry in Romania. The motivation for conducting this analysis arose from the observation of a research gap in the Romanian context regarding this specific topic. The researchers utilized a non-probability convenience sample of 486 college students enrolled at a public university in Romania, who participated in a web-based survey focusing on their attitudes towards AI in e-commerce. The findings obtained from an ordinal logistic model indicated that trust in AI is significantly influenced by factors such as transparency, familiarity with other AI technologies, perceived usefulness of AI recommenders, and the students’ field of study. To ensure widespread acceptance and adoption by consumers, it is crucial for e-commerce companies to prioritize building trust in these new technologies. This study makes significant contributions to our understanding of how young consumers in Romania perceive and evaluate AI algorithms utilized in the e-commerce sector. The findings provide valuable guidance for e-commerce practitioners in Romania seeking to effectively leverage AI technologies while building trust among their target audience.

Innovation requires creativity, risk-taking, and the ability to manage change effectively, all of which are closely linked to emotional intelligence. Individuals with high levels of emotional intelligence are more flexible, adaptable, and resilient in technological advancements and are better able to respond effectively to new challenges and opportunities. Thus, this study aims to recognize the significant role of emotional intelligence, along with the mediation of innovative work behavior (IWB) and the moderation role of cultural intelligence in the attainment of innovation performance. This is quantitative research and for data collection, a questionnaire was used in healthcare institutions. The result shows that emotional intelligence is an antecedent of innovation performance. The finding also proved that IWB mediates the linkage between emotional intelligence and innovation performance. In addition, the outcomes show that cultural intelligence strengthens the relationship between emotional intelligence and innovation performance. However, the current dynamic business world has created an urgency to understand the linkage between the employee’s emotional intelligence and employee innovative performance, particularly taking into consideration the mediation effect of IWB. Emotional intelligence and innovation are closely linked, and innovative work behavior connects this link in a stronger way. This study offered a unique framework for achieving innovation performance through the nexus of emotional intelligence, innovative work behavior, and cultural intelligence.

The advancement of technology offers various opportunities for business organizations to achieve sustainable growth. Through emerging technologies, business organizations are able to collect and analyze essential information vital for the acceleration of innovation. Therefore, this study investigated how big data contribute to the innovation activities of manufacturing entrepreneurs in terms of big data analytic capability (BDAC). The aim of this study was to relate BDAC to organizational readiness and innovation performance (IP). Moreover, we examined the mediating role of organizational readiness between BDAC and IP. We also examined the strengthening role of digital orientation. To collect the study data, we approached 494 frontline managers of the manufacturing sector of Saudi Arabia. The collected data were analyzed using statistical techniques such as descriptive, correlation, and hierarchical regression techniques. We found that BDAC plays a vital role in developing organizational readiness and IP. The findings also proved that organizational readiness has a significant effect on IP. The results revealed that organizational readiness mediates between BDAC and IP.

This study aims to explore the impact of technology orientation on innovation performance in the electronic industry operating in the digital economy. This study also investigates the mediating role of digital innovation (a special type of innovation that is based on digital technologies) in the relationship between technology orientation and innovation performance. Primary data, based on perception, was collected from operational managers of electronic firms. Correlation and regression analyses were used to test the direct relationship among digital innovation, innovation performance, and technology orientation. The stepwise regression model was used to check the indirect relationship (mediation analysis). Findings revealed that technology orientation is a major predictor of innovation performance in the electronic industry. Results show that digital innovation acts as a bridge between technology orientation and innovation performance. This study investigates the nexus of technology orientation, digital innovation, and innovation performance in electronic firms. This study contextualizes electronic firms for the achievement of innovation performance through digitalization and technology orientation, which is a dire need of the current decade.