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This study aims to explore the factors that influence job satisfaction among women in Jordan and contribute to the growing interest in women’s workplace happiness in the context of the Middle East.

The authors used an explanatory sequential mixed-method approach. During the first phase, 250 female respondents were surveyed from the private sector in Jordan. The authors analyzed the impact of various employment-related attributes and other variables, including educational level, position, work experience, daily work hours, income level, relationships with colleagues and supervisors and internal career opportunities on job satisfaction. During the second stage, the authors interviewed 23 supervisor female respondents and conducted a thematic analysis to explore in more depth the determinants of job satisfaction of females working in the private sector in Jordan.

The quantitative findings of this study indicate that job satisfaction is positively influenced by education level and income, while notably, it was negatively impacted by work experience and daily work hours. Relationships with colleagues and supervisors, as well as internal career opportunities, positively affect job satisfaction. The qualitative findings of the study indicate that positive corporate culture, developing subordinates, financial independence, self-worthiness, work-life balance, internal career opportunities and factors that spillover from the personal life domain contributed highly to job satisfaction.

The findings of this study can help employers in gaining a deeper understanding of the needs and behaviors of female workers in the Middle East, potentially resulting in decreased job turnover and heightened productivity.

This study offers valuable insights into the cultural dynamics at play and sheds light on the psychology of the Arab female workforce. Given the limited research on job satisfaction among women in the Middle East and the Arab world, this study holds significant importance for practitioners.

Researchers looking for ways to change the insecure behaviour that results in phishing have considered multiple possible reasons for such behaviour. Therefore, the purpose of this paper is to understand the role of optimism bias (OB – defined as a cognitive bias), which characterises overly optimistic or unrealistic individuals, to ensure secure behaviour. Research that focused on issues such as personality traits, trust, attitude and Security, Education, Training and Awareness (SETA) was considered.

This study built on a recontextualized version of the theory of planned behaviour to evaluate the influence that optimism bias has on phishing susceptibility. To model the data, an analysis was performed on 226 survey responses from a South African financial services organisation using partial least squares (PLS) path modelling.

This study found that overly optimistic employees were inclined to behave insecurely, while factors such as attitude and trust significantly influenced the intention to behave securely.

Our contribution to practice seeks to enhance the effectiveness of SETA by identifying and addressing the optimism bias weakness to deliver a more successful training outcome.

Our study enriches the Information Systems literature by evaluating the effect of a cognitive bias on phishing susceptibility and offers a contextual explanation of the resultant behaviour.

While attempting to persuade surgeons to accept their health technology, sales representatives for medical devices face daily challenges in the operating room. Surgeons exhibit cognitive complexity (abstractness vs. concreteness) when accepting any form of health technology. Surgeons choose technologies on behalf of their patients, taking patient priorities and expectations into account. Prior research has focused on cognitive complexity in the context of health technology adoption, but the issue of technology acceptance has not been addressed. The purpose of this study to use the construal level (CL) theory to determine the role of behavioural abstraction levels in the acceptance of surgical health technology.

On the basis of 556 min of seminar-based data and semi-directive interviews, the surgeons’ experiences regarding the acceptance of health technology were analysed. A non-directive observational method was used to permit the spontaneous emergence of CL dimensions in a natural environment. A categorization model was used for data coding, and MAXQDA, in addition to traditional multidimensional scaling and hierarchical cluster analysis, was used to generate results with joint displays.

Effort expectancy, learning curve, performance risk, habit, patient clinical condition, clinical outcome expectancy, technology setting and social influence were construed at a low construal level (LCL). On the other hand, patient paying capacity, technology cost, price value, financial risk and patient performance expectation were construed at a high construal level (HCL). The study also reveals duality-based factors which showed proximity to HCL but intersected at LCL, and vice versa. Duality-based factors such as effort expectancy, surgical technique, trust and perceived risk intersected at HCL, whereas performance expectancy, relative advantage, time expectancy, perceived value, physical risk and peer group influence intersected at LCL.

This is one of the early studies that presented the impact of behavioural abstraction on behavioural intention to accept health technology for surgeries.