قیمت گذاری های چند دوره ای در حضور رقابت
ترجمه نشده

قیمت گذاری های چند دوره ای در حضور رقابت

عنوان فارسی مقاله: قیمت گذاری های چند دوره ای در حضور رقابت و نفوذ اجتماعی
عنوان انگلیسی مقاله: Multi-period pricing in the presence of competition and social influence
مجله/کنفرانس: مجله بین المللی اقتصاد تولید – International Journal of Production Economics
رشته های تحصیلی مرتبط: مدیریت، اقتصاد
گرایش های تحصیلی مرتبط: مدیریت مالی، اقتصاد مالی
کلمات کلیدی فارسی: نفوذ اجتماعی، قیمت گذاری چند دوره ای، رقابت قیمت، سیاست قیمت گذاری تک، سیاست قیمت گذاری پویا
کلمات کلیدی انگلیسی: Social influence, Multi-period pricing, Price competition, Single Pricing Policy, Dynamic Pricing Policy
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.ijpe.2020.107662
دانشگاه: Department of Management Science and Information Systems, Guanghua School of Management, Peking University, Beijing 100871, PR China
صفحات مقاله انگلیسی: 39
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2020
ایمپکت فاکتور: 6.344 در سال 2019
شاخص H_index: 155 در سال 2020
شاخص SJR: 2.475 در سال 2019
شناسه ISSN: 0925-5273
شاخص Quartile (چارک): Q1 در سال 2019
فرمت مقاله انگلیسی: PDF
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
آیا این مقاله مدل مفهومی دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
کد محصول: E14514
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست مطالب (انگلیسی)

Abstract

۱٫ Introduction

۲٫ Literature review

۳٫ The model and analyses

۴٫ Extension 1: model with market size varying over periods

۵٫ Extension 2: model with posted pricing policy and reference price effect

۶٫ Extension 3: model with firms adopting different pricing policies

۷٫ Conclusion

CRediT authorship contribution statement

Acknowledgments

Appendix A. All proofs

References

بخشی از مقاله (انگلیسی)

Abstract

This paper examines Single and Dynamic Pricing Policies of two competing firms over two periods in the presence of social influence. Assuming two firms adopt the same pricing policy, we find that, under either pricing policy, firm profits always decrease with the degree of social influence. Firms prefer Dynamic Pricing Policy when social influence is either relatively weak or sufficiently strong (for firms under Dynamic Pricing Policy to set zero prices in the first period). Otherwise, Single Pricing Policy is more preferable. The conclusions are similar when the market size varies over periods, except that Dynamic Pricing Policy is always more profitable if the market size in period 2 is sufficiently large. We have further compared the two pricing policies with Posted Pricing Policy. The results show that Dynamic Pricing Policy dominates when social influence is relatively weak, while Posted Pricing Policy dominates when social influence is sufficiently strong because of the synergy between social influence and the reference price effect. Finally, when each firm freely chooses either Single or Dynamic Pricing Policy, we find that, if the degree of social influence is relatively small, two asymmetric equilibria exist where two firms adopt different pricing policies. If the degree of social influence is very large, however, the unique equilibrium is both firms adopting Dynamic Pricing Policy. These findings provide important implications for firms to make more informed pricing decisions in an increasingly competitive environment with strong social influence.

Introduction

Social influence is defined as “any change which a person’s relations with other people (individual, group, institution or society) produce on his (sic) intellectual activities, emotions or actions” (Dictionary of Personality and Social Psychology (1986, p.328)). It has been found to significantly affect consumer purchase decision. Substantial research has shown that consumers prefer products that are popular among other consumers in the previous selling periods (Hu et al., 2015). This explains why almost all the online shopping websites (e.g., Amazon and Target) update the sales ranking information from time to time to show which product is more popular. Particularly, Amazon adds a “best seller” tag on the product that is very popular. In some websites, they also show the previous sales quantity of each product. For example, the daily deal site, DailyDeal, and eBay both show the sales quantity of their products. Similarly, T-mall and Taobao, the two most famous shopping websites in China, also reveal the sales quantity in the previous month of each product, which will certainly be an important reference for consumers to make purchase decisions. The underlying motivation of displaying the sales quantity information is similar to having “top seller” lists (Parsons et al., 2014). Empirical studies also show that social influence results in the “the rich get richer” phenomenon (Cai et al., 2009; Carare, 2012). Carare (2012) finds that a consumer would like to pay more for a highly ranked product through investigating the sales ranking in Apple’s App Store.