Consumer’s values, Cultural values, Emotional Values and Word of mouth expressiveness, are good predictors for their buying decision satisfaction. In current study sample of 500 was taken to assess the consumer’s buying decision satisfaction in relation to the importance of their values associated with those decisions. This study also reveals how gender influences buying decision satisfaction. Consumer values have a positive and significant impact on buying decision satisfac-tion. While evaluation on the basis of gender and females have more emotional and word of mouth linkages than males, on the contrary to this, males are more concerned with cultural val-ues, and are less expressive and have a tendency to suppress their emotions while making buy-ing decisions.

This study aims to investigate the antecedents of trust including Company Reputation, Website Design, Service Quality, and Security and Privacy Policy in an online environment within the Pakistani context. A pre-tested questionnaire survey is used in order to collect the response of e-shopper in three cities, Abbottabad, Haripur and Islamabad, from 200 Pakistani e-shoppers. SPSS was used to analyze the data and three techniques descriptive statistics, regression analysis and correlation analysis are applied. Findings revealed a positive direct relationship between the independent and dependent variables which validate the earlier studies.

The purpose of this study is to examine the role of knowledge management practices in enhancing performance of universities, specifically in the context of Pakistan. A convenient sample of 450 employees from the universities all over the Pakistan was taken for the study. Exploratory factor analysis was performed to identify the elements of knowledge management and linear regression analysis was performed to test the hypotheses presented in the study. This study measures the moderating role of technology in the knowledge management framework. Furthermore, it relied on R & D, employee commitment and industry linkages to construct universities’ performance. The results revealed that knowledge management process and knowledge management infrastructure (HR and culture) are significant predictors of the performance of universities. It was also found that technology moderates the relationship of knowledge management dimensions and universities’ performance. The study highlighted that with proper attention towards knowledge management infrastructure, knowledge management processes and technology, universities can outperform their competitors.