کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6948410 1451039 2018 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Know who to give: Enhancing the effectiveness of online product sampling
ترجمه فارسی عنوان
می دانید که چه کسی می گوید: افزایش اثربخشی نمونه گیری آنلاین محصول
کلمات کلیدی
نمونه گیری محصول، ناهمگونی مصرف کننده، مدل سازی کلاس بستن تجارت الکترونیک، فروش مارک،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر سیستم های اطلاعاتی
چکیده انگلیسی
Product sampling is an established marketing strategy to increase product exposure and sales, and its use has recently been extended online. Online product sampling affords the advantages of reaching mass audiences, as well as opportunities for firms to select promising sample recipients. In this study, we leverage on the data from an online platform's early effort in administering online product sampling campaigns, whereby sample recipients were randomly selected from among the consumers who indicated interest in the product sample. This affords a relatively “clean” environment for us to investigate the behaviors of consumers in terms of their subsequent purchase-making after being given a product sample, with minimal biases arising from purposive selection issues. We find that, overall, receiving a product sample could increase the consumers' purchase probability by around 300%. Furthermore, the effects vary among different type of consumers. Specifically, average consumers who have few or moderate experience on the platform demonstrated highest purchase probability compared to mature shoppers and also “opportunists”, after they received a product sample. This study contributes to the literature by unveiling consumer heterogeneity in response to online product sampling when receiving a sample, and provides guidance to firms' decision-making in targeting potential consumers so as to better economize on these campaigns.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Decision Support Systems - Volume 105, January 2018, Pages 77-86
نویسندگان
, , , ,