Leila Ebrahimi; Vahid Reza Mirabi; Mohammad Hossein Ranjbar; Esmaeil Hassan Pour
Abstract
The main objective of this research is to provide a customer loyalty model for e-commerce recommender systems. The proposed model is developed using Delone and McLean Information System success model and a set of factors which are identified from the literature. To test the research hypotheses of the ...
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The main objective of this research is to provide a customer loyalty model for e-commerce recommender systems. The proposed model is developed using Delone and McLean Information System success model and a set of factors which are identified from the literature. To test the research hypotheses of the developed model, a questionnaire survey is conducted and the data is collected from the 384 customers in a B2C website. We used SPSS and SmartPLS software for descriptive statistics and path analyses and to verify the proposed model. The result of the Structural Equations Modeling showed that trust has a significant relationship with the customers’ satisfaction in the e-commerce recommendation systems. In addition, the results revealed that satisfaction with the recommended products can improve the customers’ loyalty in the B2C recommendation systems. The proposed model will help the e-commerce managers to improve their website recommendation systems and increase the sale of the products by achieving the customers’ loyalty in the online shopping websites.
Seyed Mohammadbagher Jafari; Asef Karimi; Zahede i Abarghou
Abstract
رSocial networks are a new generation of social relationship area that despite short lifetime, have been able to play an important role in people’s life.Given the importance and presence of social networks in today lives and growing their influence and impact, understanding of user behavior patterns ...
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رSocial networks are a new generation of social relationship area that despite short lifetime, have been able to play an important role in people’s life.Given the importance and presence of social networks in today lives and growing their influence and impact, understanding of user behavior patterns has become interesting subjects of researches. The aim of this study is to investigate the factors affecting on continuance intention to use online social network websites and LinkedIn was chosen as a specialized social network in this research. The population was all of Iranian members of LinkedIn. The random available sampling was used and 352 questionnaires were collected and analyzed. The hypotheses were tested with using structural equation modeling. After variable factor analysis and the relations between variables and their impact on each other were examined through path analysis. Social effects, content, value, ease of use, the tie strength and satisfaction from social networks have been identified as factors affecting on continuance intention to use of social network websites. Meanwhile the satisfaction with higher path coefficient has a stronger impact than other factorsSocial networks are a new generation of social relationship area that despite short lifetime, have been able to play an important role in people’s life.Given the importance and presence of social networks in today lives and growing their influence and impact, understanding of user behavior patterns has become interesting subjects of researches. The aim of this study is to investigate the factors affecting on continuance intention to use online social network websites and LinkedIn was chosen as a specialized social network in this research. The population was all of Iranian members of LinkedIn. The random available sampling was used and 352 questionnaires were collected and analyzed. The hypotheses were tested with using structural equation modeling. After variable factor analysis and the relations between variables and their impact on each other were examined through path analysis. Social effects, content, value, ease of use, the tie strength and satisfaction from social networks have been identified as factors affecting on continuance intention to use of social network websites. Meanwhile the satisfaction with higher path coefficient has a stronger impact than other factors
