3/11/2024 0 Comments Sex chatbot that text your number![]() Additionally, extant research on artificial intelligence applications in marketing (e.g., Campbell et al., 2020 Chung et al., 2020 Kumar et al., 2021) points to the creation of customized products and services. As chatbots provide a more engaging platform for customers to submit their contact information, they can also serve to generate consumer interest for a product or service, potentially increasing company revenue (Lee and Lee, 2020). As software-based systems designed to interact with humans with natural language (Feine et al., 2019 McTear et al., 2016), chatbots are employed in various areas such as customer service (e.g., Hadi, 2019 Sheehan et al., 2020), education (e.g., Smutny & Schreiberova, 2020), eCommerce (e.g., Shafi et al., 2020), healthcare (e.g., Fitzpatrick et al., 2017), fintech (e.g., Huang & Lee, 2022), and retail (e.g., Tran et al., 2021), among others. For example, American Eagle Outfitters and Domino’s Pizza use chatbots to take orders or recommend products, and major platforms such as Amazon, eBay, Facebook, and WeChat have started adopting them for conversational commerce transactions (De Cicco et al., 2020).Ĭhatbots have become an increasingly important gateway to digital services and information (Følstad et al., 2021) that provide scalability, cost-effectiveness, and control over the quality of interactions and additional customer data (Crolic et al., 2021). As consumers demand immediate responses and tailored recommendations and continuously outsource their purchase decisions to algorithms (Rabassa et al., 2022 Stucke & Ezrachi, 2018), conversational commerce offers firms an entirely new channel that prioritizes convenience and personalization (Campbell et al., 2020). The current growth of conversational commerce is fuelled by technological advances in artificial intelligence (AI) (Reavie, 2018) and is forecasted to grow almost sevenfold by 2025, amounting to some 290 billion US dollars worldwide (). In his post, Chris Messina stated that service providers would shift towards conversational commerce, which offers convenience, personalization, and decision support while people are on the go and can only partially pay attention (Messina, 2015). The term “conversational commerce” was coined in a 2015 Medium post by Chris Messina, a former Uber and Google employee who invented the hashtag (#) in tweets (Edwards, 2013). The research findings can be used for future applications of AI-driven chatbots where there is a need to provide personalized and data-driven product recommendations.Ĭonversational commerce (also called conversational marketing) can be defined as an interaction between a brand and a consumer that simulates human dialogue (Gartner, 2019) and refers to purchasing products or services through a chatbot (also known as a digital assistant, conversational agent, virtual assistant, virtual agent). Moreover, the results show that the interaction between anthropomorphism and situational loneliness has an impact on the willingness to pay a higher product price. We find that anthropomorphism significantly and positively affects perceived product personalization, and that this effect is moderated by situational loneliness. In the current work, we set out to test this through one pre-test ( N = 135) and two online experiments ( N = 180 and 237). While the predominant tendency is to make chatbots appear more humanlike, little is known about how anthropomorphic verbal design cues in chatbots influence perceived product personalization and willingness to pay a higher product price in conversational commerce contexts. ![]() However, consumers still prefer to engage with humans and resist chatbots, which are often perceived as impersonal and lacking the human touch. ![]() Natural language processing (NLP) technology and artificial intelligence (AI) are likely to accelerate this trend further. ![]() The rise of AI-based chatbots has gradually changed the way consumers shop.
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