publication . Article . Preprint . 2012

Does a Daily Deal Promotion Signal a Distressed Business? An Empirical Investigation of Small Business Survival

Farahat, Ayman; Ahmed, Nesreen; Dholakia, Utpal;
Open Access
  • Published: 07 Nov 2012 Journal: SSRN Electronic Journal (eissn: 1556-5068, Copyright policy)
  • Publisher: Elsevier BV
Abstract
In the last four years, daily deals have emerged from nowhere to become a multi-billion dollar industry world-wide. Daily deal sites such as Groupon and Livingsocial off er products and services at deep discounts to consumers via email and social networks. As the industry matures, there are many questions regarding the impact of daily deals on the market-place Important questions in this regard concern the reasons why businesses decide to o er daily deals and their longer-term impact on businesses. In the present paper, we investigate whether the unobserved factors that make marketers run daily deals are correlated with the unobserved factors that influence the ...
Subjects
free text keywords: Mathematics, Seemingly unrelated regressions, Machine learning, computer.software_genre, computer, Selection bias, media_common.quotation_subject, media_common, Social network, business.industry, business, Actuarial science, Small business, Artificial intelligence, Liberian dollar, Computer Science - Computational Engineering, Finance, and Science, Statistics - Applications
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publication . Article . Preprint . 2012

Does a Daily Deal Promotion Signal a Distressed Business? An Empirical Investigation of Small Business Survival

Farahat, Ayman; Ahmed, Nesreen; Dholakia, Utpal;