There is not a concrete and unified definition for Artificial Intelligence (AI), despite the fact that it is one of the most popular terms nowadays. AI refers to an activity which is devoted to turning machines into intelligence, as it is considered as a quality that entities must have in order to function in an appropriate way. In technical terms, AI is a process of integration between “cloud computing, network devices, robots, computer, and digital content production and in various business processes, systems, and daily life operations” Hence, the thesis implemented a survey which was carried out to the participants by sharing its link via social media platforms to investigate the trust in the websites. The research included 82 participants, part of University of Padua which are studying in a bachelor’s, master’s, or PhD’s degree. The survey’s aim was to discover participants’ beliefs toward online shopping and their perceptions regarding a website created by an artificial intelligence tool. The research findings showed that the most important factor while visiting online shopping for the participants was design and structure appearance which is understandable because is the first visible element of a website. Additionally, including all parts of the shopping online such as: products prices, shipping fees, subscriptions on websites, the respondents appear unsure about whether it’s worth the money or not. Generally, it seems that participants consider online shopping as a manageable tool and reasonable to buy from if there was only to price of products even though it can be challenging to evaluate the quality of products. The survey showed that most of participants act cautiously while visiting a website by checking sections such as: privacy statement and about us for more clarity. Travel comfort is classified as the first intention for the participant to buy the product shown on the website generated by artificial intelligence.

Revolutionizing Digital Marketing with Artificial Intelligence

LALA, ARTUR
2022/2023

Abstract

There is not a concrete and unified definition for Artificial Intelligence (AI), despite the fact that it is one of the most popular terms nowadays. AI refers to an activity which is devoted to turning machines into intelligence, as it is considered as a quality that entities must have in order to function in an appropriate way. In technical terms, AI is a process of integration between “cloud computing, network devices, robots, computer, and digital content production and in various business processes, systems, and daily life operations” Hence, the thesis implemented a survey which was carried out to the participants by sharing its link via social media platforms to investigate the trust in the websites. The research included 82 participants, part of University of Padua which are studying in a bachelor’s, master’s, or PhD’s degree. The survey’s aim was to discover participants’ beliefs toward online shopping and their perceptions regarding a website created by an artificial intelligence tool. The research findings showed that the most important factor while visiting online shopping for the participants was design and structure appearance which is understandable because is the first visible element of a website. Additionally, including all parts of the shopping online such as: products prices, shipping fees, subscriptions on websites, the respondents appear unsure about whether it’s worth the money or not. Generally, it seems that participants consider online shopping as a manageable tool and reasonable to buy from if there was only to price of products even though it can be challenging to evaluate the quality of products. The survey showed that most of participants act cautiously while visiting a website by checking sections such as: privacy statement and about us for more clarity. Travel comfort is classified as the first intention for the participant to buy the product shown on the website generated by artificial intelligence.
2022
Revolutionizing Digital Marketing with Artificial Intelligence
AI
Digital Marketing
Machine Learning
Automation
SME
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/59485