ChatGPT's influence on customer experience in digital marketing: Investigating the moderating roles

Abdelkader, Osama Ahmed

doi:10.1016/j.heliyon.2023.e18770

Cited by 19 publications

(1 citation statement)

References 10 publications

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“…Most medical AI research has targeted medical workers as software users, which requires medical knowledge reserves [7]. ChatGPT and other conversation question-and-answer AI software programs do not establish a user threshold, and their strong function makes them an essential auxiliary tool to increase finance and management job efficiency [8]. Health is a natural component of humans and should be explored and used in ChatGPT, particularly in the context of situational conversations between patients and physicians.…”

Section: Introductionmentioning

confidence: 99%

Quality and Dependability of ChatGPT and DingXiangYuan Forums for Remote Orthopedic Consultations: Comparative Analysis

Xue,

Zhang,

Gan

et al. 2024

J Med Internet Res

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Background The widespread use of artificial intelligence, such as ChatGPT (OpenAI), is transforming sectors, including health care, while separate advancements of the internet have enabled platforms such as China’s DingXiangYuan to offer remote medical services. Objective This study evaluates ChatGPT-4’s responses against those of professional health care providers in telemedicine, assessing artificial intelligence’s capability to support the surge in remote medical consultations and its impact on health care delivery. Methods We sourced remote orthopedic consultations from “Doctor DingXiang,” with responses from its certified physicians as the control and ChatGPT’s responses as the experimental group. In all, 3 blindfolded, experienced orthopedic surgeons assessed responses against 7 criteria: “logical reasoning,” “internal information,” “external information,” “guiding function,” “therapeutic effect,” “medical knowledge popularization education,” and “overall satisfaction.” We used Fleiss κ to measure agreement among multiple raters. Results Initially, consultation records for a cumulative count of 8 maladies (equivalent to 800 cases) were gathered. We ultimately included 73 consultation records by May 2023, following primary and rescreening, in which no communication records containing private information, images, or voice messages were transmitted. After statistical scoring, we discovered that ChatGPT’s “internal information” score (mean 4.61, SD 0.52 points vs mean 4.66, SD 0.49 points; P=.43) and “therapeutic effect” score (mean 4.43, SD 0.75 points vs mean 4.55, SD 0.62 points; P=.32) were lower than those of the control group, but the differences were not statistically significant. ChatGPT showed better performance with a higher “logical reasoning” score (mean 4.81, SD 0.36 points vs mean 4.75, SD 0.39 points; P=.38), “external information” score (mean 4.06, SD 0.72 points vs mean 3.92, SD 0.77 points; P=.25), and “guiding function” score (mean 4.73, SD 0.51 points vs mean 4.72, SD 0.54 points; P=.96), although the differences were not statistically significant. Meanwhile, the “medical knowledge popularization education” score of ChatGPT was better than that of the control group (mean 4.49, SD 0.67 points vs mean 3.87, SD 1.01 points; P<.001), and the difference was statistically significant. In terms of “overall satisfaction,” the difference was not statistically significant between the groups (mean 8.35, SD 1.38 points vs mean 8.37, SD 1.24 points; P=.92). According to how Fleiss κ values were interpreted, 6 of the control group’s score points were classified as displaying “fair agreement” (P<.001), and 1 was classified as showing “substantial agreement” (P<.001). In the experimental group, 3 points were classified as indicating “fair agreement,” while 4 suggested “moderate agreement” (P<.001). Conclusions ChatGPT-4 matches the expertise found in DingXiangYuan forums’ paid consultations, excelling particularly in scientific education. It presents a promising alternative for remote health advice. For health care professionals, it could act as an aid in patient education, while patients may use it as a convenient tool for health inquiries.

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Section: Introductionmentioning

confidence: 99%

Quality and Dependability of ChatGPT and DingXiangYuan Forums for Remote Orthopedic Consultations: Comparative Analysis

Xue,

Zhang,

Gan

et al. 2024

J Med Internet Res

View full text Add to dashboard Cite

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Factors affecting generative artificial intelligence, such as ChatGPT, use in higher education: An application of technology acceptance model

Shahzad,

Xu,

Asif

2024

British Educational Res J

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The adoption of generative artificial intelligence (GAI) tools, such as ChatGPT, in higher education presents numerous opportunities and challenges. The use of GAI technologies in various fields, including education, has accelerated as technology develops. The widely used language model ChatGPT, developed by OpenAI, has become progressively more important, especially in the field of education. This study employs the technology acceptance model to investigate the factors influencing the employment of ChatGPT within the higher education sector of Pakistan. This study employed the PLS‐SEM method for probing data collected from 368 Pakistani university students. The findings indicate that ChatGPT trust positively mediates the affiliation between ChatGPT self‐efficacy, ChatGPT actual use, ChatGPT use for information and ChatGPT use for interaction. Further, ChatGPT usefulness and ChatGPT ease of use significantly moderate the association between ChatGPT self‐efficacy and ChatGPT trust. Educators must encourage students to use ChatGPT safely to preserve their critical thinking, problem‐solving abilities and creativity during assessments. This study contributes to understanding generative AI tools such as ChatGPT that are used in educational settings and provides insights for administrators and policymakers aiming to implement these technologies effectively.

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Revolutionizing Influencer Marketing: Harnessing the Power of Data Analytics and Artificial Intelligence (AI)

Aziz,

Dua,

Gupta

2024

Information Systems Engineering and Management

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ChatGPT's influence on customer experience in digital marketing: Investigating the moderating roles

Cited by 19 publications

References 10 publications

Quality and Dependability of ChatGPT and DingXiangYuan Forums for Remote Orthopedic Consultations: Comparative Analysis

Quality and Dependability of ChatGPT and DingXiangYuan Forums for Remote Orthopedic Consultations: Comparative Analysis

Factors affecting generative artificial intelligence, such as ChatGPT, use in higher education: An application of technology acceptance model

Revolutionizing Influencer Marketing: Harnessing the Power of Data Analytics and Artificial Intelligence (AI)

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