مهسا لطفیان مقدم

Purpose : Unlike human intelligence, which naturally exists, artificial intelligence (AI) is represented by human-like and non-human-like machines that are programmed by humans to serve human and commercial purposes. This technology enables computers to analyze complex data using sophisticated algorithms and mathematical models, allowing them to learn and improve autonomously. The main objective of this research is to examine the impact of AI stimuli and chatbots on smart customer experience and recommendatory marketing, considering the moderating role of technology readiness in platform businesses, based on the Stimulus-Organism-Response framework. Method : This study is classified as descriptive-survey research. Data were collected using a standard questionnaire. The statistical population consisted of users of the Snapp application. Due to the unlimited size of the population, G*Power software was applied for sample size determination. In total, 453 electronic questionnaires were collected, although 406 were required; analyses were conducted on the full set of 453 responses for greater reliability. Given the non-normal distribution of the data, Smart PLS version 4 and SPSS version 27 software were used for analysis. Findings : Of the 12 hypotheses tested, 9 were supported while 3 were rejected. Results confirmed the impact of enthusiasm, usability, and responsiveness on relative advantage and perceived interaction. Moreover, relative advantage and perceived interaction positively influenced recommendatory marketing. The moderating effect of optimism on the relationship between enthusiasm and perceived interaction was also supported. However, the moderating effect of feelings of lack of control on usability–relative advantage and enthusiasm–interaction relationships, as well as the moderating role of optimism on usability–relative advantage, were rejected. These results may be explained by the novelty of chatbot use in Iran and cultural differences. Conclusion : The findings indicate that AI-related stimuli, including chatbots, significantly affect the smart customer experience. In turn, perceived interaction and relative advantage influence recommendatory marketing. Organizations with proper infrastructure and sufficient human resources can therefore effectively leverage AI and chatbot capabilities.

This research aims to investigate the factors influencing the adoption of e-commerce in small and medium-sized companies using the push-pull framework and with a practical approach in companies that produce and sell building stones in Iran. This research is a descriptive survey correlation in terms of its practical purpose and method. The statistical population of this research is made up of all sellers and producers of construction stone in Tehran province, and with the help of G*Power software, a minimum sample size of 216 people was estimated; But for more certainty, 220 people were selected as samples. The partial least squares technique and Smart Pls software have been used to test research hypotheses. The results of the research show that pull and push variables have an effect on changing the behavior of the company from traditional retail to e-commerce. Perceived time savings by using e-commerce and perceived cost savings by using e-commerce affect supporting customers' information-seeking behavior. Understanding that small and medium-sized companies in the stone industry can provide better service quality and lower prices with the presence of e-commerce has an impact on the perceived value of e-commerce for small and medium-sized companies that produce and sell stones in the stone industry. An increase in sales due to expansion of market access, improvement of external market communication, quality of e-commerce site services, and customer support system on the website also affect understanding the attractiveness of e-commerce adoption for the company.