Purpose: Green 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/approach: This 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.Findings: In 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/implications: The 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/value: This 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).

Supplier Relationship Management is very important for manufacturing firms as it can ensure the supply ofreliable and frequent deliveries in today's dynamic and competitive environment. For such relationship to beeffective and long-term, it has to be beneficial for all parties, the buying and the supplier firms. This studyattempts to examine the impact of supplier relationship management (SRM) on competitive performance in themanufacturing sector. Based on the literature review, we measure SRM through five main practices: supplier quality improvement,trust-based relationship with suppliers, supplier lead time reduction, supplier collaboration in new productdevelopment, and supplier partnership/development. We measure competitive performance through cost, quality,flexibility, delivery, and on time product launch. Using international data collected in Japan, Korea, USA, and Italy as part of round 3 of High PerformanceManufacturing (HPM) project, and After using statistical package of social sciences (SPSS) to describe andanalyze the data, the results show that two practices of supplier relationship management, supplierpartnership/development and supplier lead time reduction significantly and positively affect the competitiveperformance of the buying firms. Discussion and conclusion are provided based on the results of this study.

The purpose of this research is to examine the effect of perceived usefulness, perceived ease of use, perceived trust, perceived enjoyment, and subjective norms on users’ satisfaction and continuance intention to use Facebook in the Hashemite kingdom of Jordan. Using a structured questionnaire, the primary data was collected from 584 users’ who have an active Facebook accounts. Multiple regression analysis was employed to test the research model and hypotheses. The research findings indicated that perceived usefulness, perceived ease of use, perceived trust, perceived enjoyment, and subjective norms have a positive and significant effect on users' satisfaction and continuance intention to use Facebook. The findings also indicated that the strongest predictors, based on beta values, on both users’ satisfaction and continuance intention to use Facebook is subjective norms, and respectively; perceived enjoyment, perceived usefulness, perceived ease of use, and perceived trust. Research results, recommendations, and future research opportunities are also discussed.

Social networking sites are becoming an essential part of consumer daily activities, with profound changes in purchasing behavior compared to traditional buying formats. This study investigates the possible impact of social networking sites on the purchasing decision process concerning luxury vehicles in one of the most important markets for such products, the countries of the Gulf Cooperation Council (GCC). The study also investigates the possible impact of relative demographics on the direct relationship between social networking sites (independent variable) and the purchase decision process (dependent variable) of luxury vehicles. In order to achieve this aim, a descriptive analytical methodology is utilized with quantitative survey strategy, with a five-point Likert-type questionnaire. Of 1,500 personally submitted questionnaires distributed over a non-probability quota sample to the main showrooms and dealerships in the GCC, 1,257 were retrieved (a response rate of 83.8%); after the filtration and screening process, 1,224 valid questionnaire forms were statistically analyzed. The results indicate that social networking sites have a significant positive direct impact on the purchasing decision process of luxury vehicles in the examined population, with the highest impact being for the first two stages of the process (need recognition and information search). As for the moderation effect of relative demographics, only income and time daily time spent on social media had positive significant moderating effects on the direct relationship between social networking sites and purchasing decision process, while education had a negative significant effect. The results also indicated particular roles of certain social networking sites, like YouTube, and the fact that females prefer Snapchat over other digital platforms. Discussion, implications, and future research recommendation are provided based on the results of the analyses.