Will consumers accept social robot's recommendations?

![CDATA[Social robots are considered to be the future of the hospitality industry (Herse et al., 2018) and have recently been used for providing recommendations (Woiceshyn, Wang, Nejat, & Benhabib, 2017). Recommendations are a key driver of average order value in customer purchases and lead to higher customer satisfaction(Roudposhti et al., 2018). However, the factors that impact the acceptance of social robot recommendations have not been examined yet. Understanding the impact of these factors from a customer’s perspective is critical for successful acceptance of the recommendations (Dabholkar & Sheng, 2012). Thus, this study will examine the impact of Attitudes, Subjective Norms, Inference of Manipulative Intent, Source Credibility and Empathy on Willingness to Accept Social Robot Recommendations (WASRR) and ultimately, recommendation adoption. This will help managers provide appropriate recommendations for relevant services to create a more humanlike interaction. The key contribution of the study is the development of the “Willingness to Accept Social Robots’ Recommendation model.]]