Unfolding the determinants of university students’ intentions toward digital social entrepreneurship

Human resource management (HRM) is one of the elements enabling an organization to remain competitive in turbulence conditions. The effective practice of HRM makes competent and innovative employees contributing to the achievement of organizational objectives. This study aims to analyze HRM practices in creating innovation and organizational performance. The questionnaire was used to measure the respondents’ perceptions of variables used by a Likert scale. A survey of 126 manager samples and middle managers at export-oriented short and medium enterprises (SMEs) in Bali, Indonesia, was conducted to test the model. The analysis has shown that the proposed model was proven to be compliant with the research hypotheses. HRM significantly affects organizational performance and innovation, and it was found out that innovation can improve organizational performance. However, in the process of simultaneous testing, it was found out that innovation cannot improve organizational performance. The lack of attention to investments in human resources became one of the barriers to SMEs in creating innovation.

The paper strives to investigate the influential factors that might significantly affect consumers’ intention to shop from online websites. On this premise, this paper aims to examine the impact of perceived trust (PT), convenience (CONV), perceived website quality (PWQ), and subjective norm (SN) on individuals’ intention towards online shopping (ITOS). The paper proposed a study framework based on previous relevant literature. The study has drawn samples from private university students of Bangladesh. A quantitative research approach was adopted, followed by a survey method. Only undergraduate and postgraduate students of two Bangladeshi universities were considered as respondents as it is believed that they were the primary online shoppers in Bangladesh perspective. The sample size in this paper is 339, which was deemed adequate to run regression analysis. SPSS software has been utilized to conduct correlation and regression analysis. The convenience sampling method was applied in the study as the population is not known. This paper applied a 95% confidence interval to accept the hypotheses. Correlation results confirm that all independent variables correlated with ITOS. The findings of the paper report that PT, CONV, PWQ, and SN have a significant impact on students’ intention towards online shopping (ITOS). Henceforth, the online business managers can utilize the findings of this paper to understand the young consumer behaviors and develop a solid and effective online marketing plan for sustainable business performance.

Social media significantly influences investor behavior, particularly in emerging markets like the Egyptian stock market. This study examines its impact on trading frequency, herding behavior, and overconfidence among Egyptian investors. Data were collected through a structured survey of 300 active investors, distributed via two prominent Facebook pages: “The Popular Union of Investors in the Egyptian Stock Market” and “Investment in the Egyptian Stock Market.” The sample was determined using Cochran’s formula for large, undefined populations, achieving a 78% response rate from the 385 recommended respondents. A descriptive quantitative approach was employed, utilizing correlation tests and regression analysis to assess relationships between social media engagement and investor behavior.
Findings indicate that social media usage significantly increases trading frequency, as investors make more reactive decisions based on rapidly available information. Herding behavior is also positively associated with social media engagement, demonstrating that investors tend to follow market trends and decisions discussed in online communities. Additionally, social media exposure fosters overconfidence, leading to increased risk-taking behavior. These insights highlight the critical role of social media in shaping investor behavior, with practical implications for regulators, financial advisors, and individual investors. Regulators should promote investor education on the cognitive biases linked to social media engagement, while financial advisors must address its influence on client decision-making. Future research should explore platform-specific features, such as visual content and influencer-driven financial advice, to better understand their effects on investment strategies.

Acknowledgment
The authors are thankful to the Deanship of Graduate Studies and Scientific Research at University of Bisha for supporting this work through the Fast-Track Research Support Program.