Univrsity Of Tehran Press Journal of Business Management 2008-5907 4 4 2013 01 20 Effects of B2C Retailing Website Features on Customer Online Purchase Intention, Using Conjoint Analysis Effects of B2C Retailing Website Features on Customer Online Purchase Intention, Using Conjoint Analysis 127 146 54768 10.22059/jibm.2013.54768 FA Mohsen Nazri Associate Prof., University of Tehran, Iran Nastaran Haji Heydari Assistant Prof., University of Tehran, Iran Mostafa Nasri M.A Student, University of Tehran, Iran Journal Article 2015 09 08 Success or failure of online B2C businesses depends on identification of website features which affect customer online purchase intention positively the most. For better profitability, online businesses must be aware of their customer's preferences between functions and services provided by their webshop. Then, using a conceptual model that identifies customer's preferences and estimates utility scores of shopping website features is crucial for e-retailers. The present conceptual model determines customer's favorite functions of e-stores, utility scores and relative preferences in form of technology factors, shopping factors and product factors. 399 valid responses were gathered utilizing online questionnaire and analyzed by conjoint analysis algorithm. Results unveiled that "digital certification and encryption" (security) and "product exchange and return services" (convenience) were the most important features for customer's online purchase intention. Findings are discussed and implications are provided. Success or failure of online B2C businesses depends on identification of website features which affect customer online purchase intention positively the most. For better profitability, online businesses must be aware of their customer's preferences between functions and services provided by their webshop. Then, using a conceptual model that identifies customer's preferences and estimates utility scores of shopping website features is crucial for e-retailers. The present conceptual model determines customer's favorite functions of e-stores, utility scores and relative preferences in form of technology factors, shopping factors and product factors. 399 valid responses were gathered utilizing online questionnaire and analyzed by conjoint analysis algorithm. Results unveiled that "digital certification and encryption" (security) and "product exchange and return services" (convenience) were the most important features for customer's online purchase intention. Findings are discussed and implications are provided. https://jibm.ut.ac.ir/article_54768_6e7880dcd20c4e10efcf87235cfb02b3.pdf