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PurposeGreen product innovation is a global industrial concern. This research examines the possible impact of green product innovation on firms' competitive advantage in industrial enterprises operating in qualified industrial zones (QIZs).Design/methodology/approachThis research follows a descriptive analytical methodology, testing two hypotheses formulated based on the reviewed literature among chemical industrial plants of the three Jordanian QIZs (Amman, Zarqa and Irbid) in Jordan. Following a preliminary scoping study of all 219 Jordanian chemical manufacturers, a quantitative five-point Likert scale questionnaire was administered to firms applying green product activities.FindingsIn total, 20 firms were found to be utilizing green product innovation, representing only 9.13% of the overall population. The hypothesis testing results indicated that green product innovation has a statistically significant positive impact on competitive advantage. The results also showed that the factor “firm resources” has a statistically significant positive moderation effect on the relationship between green product innovation and competitive advantage.Research limitations/implicationsThe vast majority of Jordanian chemical manufacturers were not implementing green innovation or practices; further study is needed to identify barriers. Findings are limited to managers of chemical industrial plants in Jordan, excluding the demand side (e.g. plant customers who purchase final products), which leaves a different research angle to be explored.Originality/valueThis is a pioneering study of green product innovation implications for firm competitive advantage in manufacturing enterprises, especially in QIZs of Jordan (which offer tax exemptions to foreign and local investors and sell products to regional and international markets).

PurposeThis paper aims to investigate the relationship between academic integrity of online university students and its effects on academic performance and learning quality. The first hypothesis aimed to see if there is statistically significant relationship between academic honesty of students taking online classes and their apparent academic performance. The second hypothesis aimed to see if there is a statistically significant difference in academic integrity among male and female students. The third hypothesis aimed to see if there was a statistically significant relationship between academic honesty of students and their quality of learning.Design/methodology/approachThis is a quantitative study; data was collected via student emails from 155 active online university students.FindingsThere was a positive linear relationship for the first hypothesis, the relationship is relatively weak as the value of Pearson correlation was (0.172). For the second hypothesis, the results showed that there was no significant difference between males and females. The results for the third hypothesis showed that there is a statistically significant relationship between academic integrity of students taking online classes and academic learning quality. This relationship is relatively strong.Research limitations/implicationsThe sample size may have been a limitation for generalizing the results.Practical implicationsAs a practical implication, authors recommend that education administrators focus on training their faculty members to stress and instill strong ethical values, such as academic integrity and honesty, in their students all throughout their academic journey.Social implicationsAs for social implication, the embracing of ethical values in students, graduates may continue to embrace such values in the workplace which may lead to more reputable and profitable work environment where the society at large benefits.Originality/valueThis research is among the pioneers that attempted to study the connection of academic integrity and learning quality from the students’ perspective.

The purpose of this quantitative research was to measure customer satisfaction with bank tellers and bank teller leadership attributes and to determine the relationships between the two and the effect of gender on the ratings. Data were collected at three bank branches in West Amman-Jordan with 126 bank customers. The results revealed statistically significant differences in the ratings of the leadership attributes: Ethics had highest ratings while innovation had the lowest ratings. There were significantly different gender ratings in two leadership attributes such that women’s ratings were higher than the men’s in bank knowledge and communication leadership attributes. Also, men and women differed significantly on satisfaction; women were more satisfied than men. Moreover, results revealed that satisfaction correlated directly, strongly, and significantly with all five leadership attributes. Additionally, results showed that bank knowledge, innovation, and gender all made unique and statistically significant contributions to predicting satisfaction with bank tellers.

Background: This research aims to comprehensively evaluate the influence of firm capabilities, resources, and Artificial Intelligence (AI) on supply chain financing within the Jordanian context. It also analyzes the mediating role of blockchain technology and trust in these relationships. Methods: A conceptual model was utilized to empirically examine the suggested relationships. Data were gathered from a sample of 349 Jordanian start-ups focusing on AI and blockchain technologies via a five-point Likert scale questionnaire. Partial Least Square regression-based Structural Equation Modeling (PLS-SEM) facilitated by SmartPLS4 was used to perform the analysis. Results: The findings reveal that firm capabilities/resources and AI positively impact supply chain financing. Blockchain technology and trust serve as mediators, enhancing the effects of these factors on supply chain financing. Conclusions: The study highlights the role of innovative technologies in improving financial information security and collaboration among supply chain partners. It emphasizes how firm capabilities, resources, and emerging technologies such as AI and blockchain influence supply chain financing as they foster trust and security in financial transactions, offering valuable insights for decision-makers in the supply chain domain.

This study aimed to translate and investigate the psychometric properties of the short version of the Smartphone Addiction Scale in Saudi Arabia. A sample of 590 respondents participated in this study and answered the Smartphone Addiction Scale, the Smartphone Application-Based Addiction Scale (SABAS), the Internet Gaming Disorder Scale - Short Form (IGDS-SF) and the Hospital Anxiety and Depression Scale, as well as socio-demographic questions. To validate SAS-SV, confirmatory factor analysis (CFA), reliability analysis, concurrent and convergent validity were performed. The scale exhibited adequate internal consistency and test-retest reliability (Cronbach's a =0.79 the test-retest reliability = 0.83), good concurrent and convergent validity. The CFA supported a unidimensional structure established by previous studies with good fit indices. In conclusion, the scale is valid and reliable and can be used to assess the levels of smartphone addiction in Saudi Arabia.