The Value of IT-Enabled Retailer Learning: Personalized Product Recommendations and Customer Store Loyalty in Electronic Markets

نویسندگان

  • Tongxiao Catherine Zhang
  • Ritu Agarwal
  • Henry C. Lucas
چکیده

Quality of PPRs PPR1: In general, most items on this list match my preferences very well. PPR2: In general, most items on this list fit my tastes very well. PPR3: In general, most items on this list are interesting to me. Website Knowledge WBKN1: I always know where I can find the products/information I am looking for at Amazon.com’s website. WBKN2: I visit Amazon.com very often. WBKN3: I have been to Amazon.com many times. Product Evaluation Cost (reverse coded) PEC1: It was very easy for me to make this purchase decision. PEC2: I had no difficulty deciding which item would be best for me. PEC3: Making this purchase decision was an easy task for me. Product Screening Cost (reverse coded) PSC1: I had no problem locating the items I was interested in at Amazon.com. PSC2: It was very easy for me to locate the items I was interested in at Amazon.com. PSC3: Locating the items I was interested in at Amazon.com was very easy. Decision-making Quality DMQ1: I have picked the items that best fit my taste among all DVDs available at Amazon.com. DMQ2: I have selected the items I like the most among all DVDs available at Amazon.com. DMQ3: These two items are my favorite among all DVDs available at Amazon.com. Repurchase Intention REPUR1: I will consider Amazon.com the first choice to buy similar products in the future. REPUR2: I will buy more similar products at Amazon.com in the future. REPUR3: I will come back to Amazon.com to buy similar products in the future.

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ABSTRACT Title of Dissertation: THE VALUE OF IT-ENABLED RETAILER LEARNING: CAN PERSONALIZED PRODUCT RECOMMENDATIONS (PPRS) IMPROVE CUSTOMER STORE LOYALTY IN ELECTRONIC MARKETS?

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عنوان ژورنال:
  • MIS Quarterly

دوره 35  شماره 

صفحات  -

تاریخ انتشار 2011