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https://archive.cm.mahidol.ac.th/handle/123456789/4766
Title: | Lawyers’ intention to use Artificial Intelligence (AI) to support their work by Technology Acceptance Model analysis |
Authors: | Chayanan, Charoenwatanakhun |
Keywords: | Entrepreneurship Management LAWYERS TECHNOLOGY ACCEPTANCE MODEL INTENSION TO USE AI TECHNOLOGY |
Issue Date: | 4-Sep-2022 |
Publisher: | Mahidol University |
Abstract: | The development of artificial intelligence has created new opportunities and challenges in every business sector including E-Commerce, Information Management Systems (IMS), and Manufacturing systems. To illustrate, AI eliminates daily routine work, redundant data entry, and monitoring processes. Furthermore, AI reduces human error including the decision-making process and document reviewing. Moreover, lawyers have enormous papers work and various law articles to review. This research explored the acceptance of lawyers in the artificial intelligence to facilitate their occupation via AI-based technology in construction using the technology acceptance model (TAM). The analysis of Lawyers' Intention to use Artificial Intelligence (AI) to support their work using Technology Acceptance Model consists of 100 samples was verified by using descriptive statistic and using inferential statistic method. According to the research results, the technological factors along with lawyer' attitudes and intentions of using Artificial Intelligence (AI) had a highest on the perceived usefulness and the perceived ease of use and high on the perceived of sense of trust, perceived of legal use and cost via AI-based technology. In addition, the data analysis of independent variable results that factor affecting lawyers' attitudes towards using AI showed that reliability, legal use and cost factors had a statistically significant positive effect on attorneys' attitudes towards using AI at 0.05. |
Description: | 40 leaves |
URI: | https://archive.cm.mahidol.ac.th/handle/123456789/4766 |
Appears in Collections: | Thematic Paper |
Files in This Item:
File | Description | Size | Format | |
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TP EM.012 2022.pdf | 3.35 MB | Adobe PDF | View/Open |
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