In a constantly changing and increasingly globalized world, the construct of culture and subculture have become increasingly central to the consumer behavior literature. Religion still plays a significant role in influencing social and consumer behavior. This paper will shed some light on measuring religiosity fom Islamic perspective. All possible alternatives within different dimensions were assessed to find out the most suitable combination of dimensions that gives the best results in measuring Islamic religiosity. Seven Factors were extracted by factor analysis form the four dimensions. The findings of the study indicated that the combination of three dimensions namely (Current Islamic issues, religious education, and sensitive products) produce the best results among other dimensions.

In a constantly changing and increasingly globalized world, the construct of culture and subculture have become increasingly central to the consumer behavior literature. Religion still plays a significant role in influencing social and consumer behavior. This paper will shed some light on measuring religiosity from Islamic perspective. All possible alternatives within different dimensions were assessed to find out the most suitable combination of dimensions that gives the best results in measuring Islamic religiosity. Seven Factors were extracted by factor analysis form four dimensions. The findings of the study indicated that the combination of three dimensions namely,current Islamic issues, religious education, and sensitive products, produced the best results among other dimensions.

Purpose – The purpose of this paper is to investigate the factors affecting students’ satisfaction with university portals in developing countries. The factors examined are educational services availability, user ability, system quality and information quality. Design/methodology/approach – A self completion questionnaire was developed and distributed to a sample of 550 students in several universities. Correlation and regression analysis were used to identify relationships and explore which of the factors had the strongest explanatory power. Findings – The results showed that educational services availability, system quality and information quality influence students’ satisfaction, with service availability being the major determinant. The cultural perspective was employed to explain these results. Originality/value – Understanding what students expect from a university portal should increase their satisfaction and consequently have a positive impact on universities’ performance. The results of this study also contribute to the current literature, which is very limited in developing countries. The paper concludes by discussing implications for both research and practitioners.

The worldwide annual expenditures for cosmetics is estimated at U.S. $18 billion, and many players in the field are competing aggressively to capture more and more markets. The purpose of this article is to investigate the influence of brand loyalty on cosmetics buying behavior of female consumers in the Emirate of Abu Dhabi in the UAE. The seven factors of brand loyalty are brand name, product quality, price, design, promotion, service quality and store environment. Questionnaires were distributed and self-administered to 382 respondents. Descriptive analysis, one-way ANOVA and Pearson Correlation were used in this study. The findings of this study indicated that brand name has shown strong correlation with brand loyalty. The research results showed that there is positive and significant relationship between factors of brand loyalty (brand name, product quality, price, design, promotion, service quality and store environment) with cosmetics brand loyalty.

The purpose of this paper is to provide an understanding of the influence of consumer religiosity on Jordanian consumer's evaluation of retail store attributes. Data collected in the survey have included retail stores attributes, religiosity and demographic characteristics of respondents. Data were collected from 800 random selected consumers in several shopping centres in Amman. Different methods of statistical analysis have been used such as mean differences, one way ANOVA, percentile, and factor analysis. The findings reveal that among the six factors considered (locational convenience, service, post purchase services, merchandise, kinship and local goods), the most important factor for consumers has been merchandise, which includes four items with cheaper prices scoring the highest mean among all items. Results of the hypothesis testing indicate that there was a difference between high, moderate and low consumers' religiosity in evaluating the importance of all retail store factors. This paper provides retailers with knowledge on consumer behaviour in Jordanian culture context by categorizing the attributes that are considered by consumers when making choices regarding where to shop.

Search Engine Optimization (SEO) is an Internet marketing strategy that used widely for improving the volume and quality of customer traffic to a company website through search engines. This research aims to explore the importance and benefits of SEO in marketing as well as to examine the impact of SEO dimensions on online advertisement. A questionnaire was distributed personally on 121 companies in Jordan. Out of 121, only 102 companies completed and returned the questionnaire, which give 72% response rate. Factor Analysis provided four dimensions which were used later in Multiple Regression. Those factors were named as; SEO connectivity, SEO competitiveness, SEO experience and SEO techniques. Results show that SEO connectivity was not significant, while the remaining three dimensions were all significant.

This study investigates the influence of technological innovative capabilities (TICs) on firm performance (FP) in the IT sector, with strategic agility as a moderator variable. This paper analyzes the TICs at the firm level in the service sector using the functional approach. An online structured questionnaire was adapted and refined to collect the required information on the influence of TICs dimensions on FP in the IT sector to achieve the objectives. The unit of analysis consists of top management staff and heads of departments from IT firms in Amman, Jordan. A sample of 67 IT firms was selected, and 300 questionnaires were distributed. A total number of returned responses was 223, producing a 74% response rate. Structural equation modeling was used to test the hypotheses. The revealed findings show that learning capability, marketing capability, organizational capability, and strategic planning capability had a significant influence on FP, whereas resource allocation capability was not significant. In addition, multiple hierarchical regression was used to test the moderating effect of strategic agility on the relationship between TICs and FP. Revealed results of the overall model to examine the moderating effect show that strategic agility is not significant in moderating the relationship between TICs dimensions and FP.

The study aims to explore the effect of network strategic capabilities (NSCs) with its dimension of artificial intelligence (AI) and blockchain on digital transformation (DT) in Jordanian universities. The paper used the analytical-descriptive approach to analyze and interpret the results. The study population includes Jordanian universities, and the sample consists of top management. Out of 400, 304 questionnaires were completed and returned. The results show that AI (β = 1.219, t = 1.175, p < 0.00) and blockchain (β = –0.773, t = 0.437, p < 0.00) have a significant effect on DT. The first sub-hypothesis results concerning leadership revealed that AI (β = 0.525, t = 0.360, p < 0.03) and blockchain (β = –0.538, t = 0.186, p < 0.04) have a significant effect on leadership. The second sub-hypothesis result concerning strategic planning revealed that AI (β = 4.031, t = 3.050, p < 0.002) and blockchain (β = –5.150, t = 2.334, p < 0.020) have a significant effect on strategic planning. While for third sub-hypothesis concerning infrastructure, the results of AI were β = 0.818, t = 1.011, p < 0.032 and for blockchain β = 0.159, t = 0.121, p < 0.904. This result shows that AI has a significant effect on infrastructure, while blockchain does not have any effect. Therefore, NSCs must be integrated into the business process to enhance and boost DT efficiently and effectively.