Abstract

Conversational agents are becoming an essential part of a growing number of personal and commercial encounters, bringing the issue of Conversational Marketing to a broader audience. A conversational agent is a developing technology that will be used in various fields throughout life, including e-commerce. The common characteristics of any conversational agent in whatever area are their capacity to engage in one-to-one personalised real-time dialogue with a human user and their availability 24 hours a day. Scale items for conversational agent phenomena have not been created scientifically or managerially in a business environment. The primary goal of this study was to develop and validate a new scale for conversational agents that could be used to quantify individual interactions in conversational marketing. As a result, the creation of a new scale for conversational agents with the objective of measuring individual customer interactions in conversational marketing was separated into two phases: Scale Development and Scale Validation. The Conversational Agent Usage Scale was developed and validated as a consequence of pilot studies. Additionally, this article discusses the practical consequences of conversational marketing, which can now be accomplished through the use of the Conversational Agent Usage Scale, which may be used by Customer Service & Support, Marketing, and Sales departments.

Highlights

  • The emergence of the Internet, the increase of big data, the explosive growth of computer science, and the enormous advancements in robotics and programming have resulted in the development of Artificial Intelligence, which enables it to handle complicated difficulties and tasks

  • The Conversational Agent Usage Scale (CAUS) instrument has proven to be helpful in anticipating customer preferences in order to give more perceived value during a dialogue with the conversational agent. 540

  • The paper's primary objective was to provide a new scale for conversational agents in order to measure individual encounters in conversational marketing

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Summary

Introduction

The emergence of the Internet, the increase of big data, the explosive growth of computer science, and the enormous advancements in robotics and programming have resulted in the development of Artificial Intelligence, which enables it to handle complicated difficulties and tasks. This technology appears to generate a variety of various types of content, including dialogues, music, poetry, artwork, film or news scripts, jokes, and creative problem-solving (Israfilzade & Pilelienė, 2018; Akerkar, 2019; Israfilzade, 2020).

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