کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4959550 1445954 2017 32 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Inventory disclosure in online retailing
ترجمه فارسی عنوان
افشای موجودی در خرده فروشی آنلاین
کلمات کلیدی
یا در بازاریابی، افشای اطلاعات موجودی، قیمت گذاری، خرده فروشی، مصرف کنندگان استراتژیک،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی
Unlike in a traditional store environment where inventory is directly visible to customers, Internet retailers can selectively choose how to divulge inventory level information to customers. For example, when viewing a particular item page, online shoppers may either see merely “in stock” or a specific inventory level. By choosing the appropriate inventory-level cue to display, a retailer can selectively signal stock-out risk to customers. In this paper, we analyze the optimal structure of an online retailer's inventory disclosure and pricing policy, in a two-period setting-a regular selling period followed by a clearance period. Consumers may potentially face uncertainty regarding the firm's inventory level, as well as the overall market demand. We show that there exists an inventory level threshold below which a retailer should optimally disclose inventory, and above which masking (i.e., showing only “in stock”) is optimal. Even though the optimal price decreases in the stock level, we show that equilibrium full-price sales may increase or decrease, highlighting the non-intuitive consumer behavior implications of selective inventory disclosure. The optimal “threshold-type” inventory disclosure that we derive reflects the practice of several prominent online retailers selling fashion products, and is new to the literature as prior models of inventory sharing invoked assumptions that led to either consistent disclosure or consistent masking to be optimal. We also extend the model to consider a stochastic market size, and thus highlight that the threshold policy structure continues to hold with demand uncertainty.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Operational Research - Volume 261, Issue 1, 16 August 2017, Pages 195-204
نویسندگان
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