Use of ChatGPT in academia: Academic integrity hangs in the balance

Technology in Society, Год журнала: 2023, Номер 75, С. 102370 - 102370

Опубликована: Сен. 11, 2023

In today's academic world, some academicians, researchers and students have begun employing Artificial Intelligence (AI) language models, e.g., ChatGPT, in completing a variety of tasks, including generating ideas, summarising literature, essay writing. However, the use ChatGPT settings is controversial issue, leading to severe concern about integrity AI-assisted cheating, while scholarly communities still lack clear principles on using such innovation academia. Accordingly, this study aims understand motivations driving academics their work, specifically role making up adoption behavior. Based 702 responses retrieved from users ResearchGate Academia.edu, we found that usage positively shaped by time-saving feature, e-word mouth, self-efficacy, self-esteem, perceived stress. contrast, peer influence had negative effect usage. Intriguingly, integrity-moderated interactions time-saving, self-esteem stress are be significantly positive. Therefore, suggest stakeholders, institutions, publishers AI models' programmers, should work together specify necessary guidelines for ethical chatbots research.

Язык: Английский

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The impact of artificial intelligence and Industry 4.0 on transforming accounting and auditing practices

Journal of Open Innovation Technology Market and Complexity, Год журнала: 2024, Номер 10(1), С. 100218 - 100218

Опубликована: Янв. 22, 2024

The main aim is to investigate the impact of artificial intelligence (AI), Industry 4.0 readiness, and Technology Acceptance Model (TAM) variables on various aspects accounting auditing operations. To evaluate associations between variables, research design employs a mediation path approach using SMART PLS. study convenience sampling method, which augmented with snowball sampling. sample size was determined techniques, yielding final 228 respondents. findings indicate that leveraging AI, big data analytics, cloud computing, deep learning advancements can improve practices. AI technologies assist businesses in increasing their efficiency, accuracy, decision-making capabilities, resulting improved financial reporting processes. contributes theoretical explanation influence adoption practices context an emerging country, Saudi Arabia. have practical implications for practitioners, policymakers, scholars. this efficiently developments Policymakers use create supporting frameworks regulations encourage integration domain. These contribute existing stock knowledge auditing, as well providing evidence its benefits country.

Язык: Английский

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Understanding the diffusion of AI-generative (ChatGPT) in higher education: Does students' integrity matter?

Computers in Human Behavior Reports, Год журнала: 2024, Номер 14, С. 100402 - 100402

Опубликована: Март 14, 2024

ChatGPT, an AI-powered language model, is revolutionising the academic world. Scholars, researchers, and students use its advanced capabilities to achieve their educational objectives, including generating innovative ideas, delivering assignments, conducting extensive research projects. Nevertheless, of ChatGPT among contentious, giving rise significant apprehensions regarding integrity AI-facilitated deceit. At same time, scholarly communities currently need more well-defined standards for adopting such academia-oriented technology. This study aims determine students' using Unified Theory Acceptance Use Technology (UTAUT) Social Cognitive (SCT), notably role in determining adoption behaviour. The analysis 921 responses demonstrated that utilisation influenced positively by performance expectancy, social influence, self-efficacy, technology personal anxiety. Conversely, student was found negatively impact usage. Remarkably, has a positive moderating effect between effort expectancy it negative on link self-efficacy with Hence, we propose community, AI model developers, publishers, relevant stakeholders collaborate establish explicit rules chatbots ethical manner purposes.

Язык: Английский

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Antecedents of trust and customer loyalty in online shopping: The moderating effects of online shopping experience and e-shopping spending

Heliyon, Год журнала: 2023, Номер 9(5), С. e16182 - e16182

Опубликована: Май 1, 2023

This paper determines the antecedents of trust (i.e., perceived ease use [PEoU], privacy concerns [PC], security [PS], product variety [PV], and on-time delivery [OD]) customer loyalty (CL) in online retailing. A questionnaire was developed using scales validated prior e-commerce studies to measure these factors conceptual model. Data were collected an survey from a non-probability judgement sample shoppers between ages 18 65 years old, who provided informed consent for participation survey. analysed via structural equation modeling (SEM) on AMOS version 28. The ethical approval certificate issued by College Business Economics Research Ethics Committee (CBEREC). results indicate that (CT) shopping relies OD, PS, PV, PEoU, but not PC. CT, followed OD significantly impacts CL. show mediates relationship Online experience e-shopping spending moderate impact PV trust. CL is moderated experience. validates scientific approach coexisting effects key forces e-retailer practitioners can gain build this valuable knowledge absent literature, as measured disjointedly studies. study offers originality validating retailing South Africa.

Язык: Английский

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Open Innovation in the Financial Sector: A Mixed-Methods Approach to Assess Bankers' Willingness to Embrace Open-AI ChatGPT

Journal of Open Innovation Technology Market and Complexity, Год журнала: 2024, Номер 10(1), С. 100216 - 100216

Опубликована: Янв. 20, 2024

As open innovation and Artificial Intelligence (AI) become more prevalent in financial institutions, early adoption of Chatbots will have a competitive advantage. However, ChatGPT is still less common the sector than other industries. This study attempts to understand bankers' perceptions towards using ChatGPT. Towards this, employed an exploratory sequential mixed-methods approach. Eventually, 10 bank professionals participated preliminary semi-structured interviews gain insight into their perceptions. Sequentially, cross-sectionally examined identified factors among 368 bankers triangulate framework with empirical evidence. The Thematic Content Analysis (TCA) analysis seven new related use ChatGPT, which were primarily validated PLS-SEM assessments. results showed positive effect performance expectancy, social influence, facilitating conditions, awareness, innovativeness, system quality on usage negative technology self-efficacy IT features. Intriguingly, moderating effects central support positively confirmed for innovativeness but relationship between self-efficacy, intention. offers highly predictive model contemplating applicability extended UTAUT explain banking sector. Accordingly, we suggest that decision-makers should emphasize improving individual attributes human capital AI quality, as well working closely government-powered authorities would facilitate diffusion process

Язык: Английский

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Toward an Islamic Education Administration System: A Critical Contribution from Technology Adoption

Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 309 - 323

Опубликована: Окт. 22, 2024

Язык: Английский

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The impact of artificial intelligence on information audit usage: Evidence from developing countries

Journal of Open Innovation Technology Market and Complexity, Год журнала: 2024, Номер 10(2), С. 100298 - 100298

Опубликована: Май 12, 2024

The present study aims to explore the factors influencing utilization of Information audit in context Egypt and Jordan, with specific attention given role artificial intelligence (AI). A sample 443 respondents participated study, data collection was carried out through a non-probability convenience snowball sampling approach. findings reveal that internal determinants are positively associated intention adopt technologies, exhibiting significant impact beta coefficient +0.45 (P-value < 0.01), perceived benefits their implementation. Moreover, underscores critical influence intelligence, dimensions such as cloud computing, mining, e-commerce enhancing advantages (β = 0.35, P-value 0.01) fostering intent use technologies 0.22, 0.01). Additionally, there is robust positive correlation between actual usage, where presence AI amplifies this association, indicated by value 0.48 This significantly enriches existing body knowledge delineating particularly within Middle Eastern context, highlights pivotal shaping these dynamics. provides empirical evidence on audit. Its originality lies its focus underexplored East region literature investigation implications for practitioners, auditors, policymakers operating region. suggest firms should allocate sufficient support resources encourage adoption technologies. auditors need have necessary skills effectively Policymakers can study's develop policies regulations promote

Язык: Английский

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Unlocking Organizational Potential: Assessing the Impact of Technology through SmartPLS in Advancing Management Excellence

Aptisi Transactions on Management (ATM), Год журнала: 2024, Номер 8(1), С. 40 - 48

Опубликована: Янв. 5, 2024

This study aims to explore the organizational potential in facing impact of implementing Business Intelligence System (BIS) technology using Partial Least Squares Structural Equation Modeling (SmartPLS) as analytical tool. We conducted research on several organizations that have adopted with goal enhancing managerial excellence. Data collection was carried out online, involving 150 respondents from 5 Indonesia, majority whom are already familiar and implemented BIS their organizations. evaluated this technology, particularly performance, decision-making processes, business process optimization. not only synthesizes knowledge relevant literature but also provides a holistic understanding specifically through its success within an context. The findings expected offer profound insight into how adoption can transform paradigms managing information, deciding strategies, improving operational efficiency.

Язык: Английский

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Artificial Intelligence in Higher Education: A Cross-Cultural Examination of Students’ Behavioral Intentions and Attitudes

The International Review of Research in Open and Distributed Learning, Год журнала: 2024, Номер 25(3), С. 134 - 157

Опубликована: Авг. 26, 2024

Artificial intelligence (AI) has undergone considerable advancement in the contemporary period and represents an emerging technology higher education. Cultural contexts significantly shape individuals’ perceptions, attitudes, behaviors, particularly realm of acceptance. By adopting a cross-cultural lens, this research explores potential variations across Chinese international students from diverse countries terms attitudes their behavioral intentions toward AI use. With acceptance model (TAM) framework, used survey approach, employing questionnaires as primary means data collection. The were then analyzed through structural equation modeling descriptive statistics. A substantial discrepancy was found prevalence, use between students. Findings further revealed stronger effect perceived ease on both among compared with counterparts. suggest that cultural backgrounds prior technological exposure play intricate roles shaping perceptions technology. study emphasizes need for tailored educational strategies to regulate perspectives, provide language-specific support, ensure user-friendly interfaces. These insights contribute evolving discourse education offer practical implications educators institutions optimizing integration pedagogical practices.

Язык: Английский

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Determinants of intention to use ChatGPT for obtaining shopping information

The Journal of Marketing Theory and Practice, Год журнала: 2024, Номер unknown, С. 1 - 18

Опубликована: Июль 26, 2024

Drawing on the "Technology Acceptance Model" (TAM) and "Elaboration Likelihood Model," this study explored determinants of intention to use ChatGPT obtain shopping information. We extended TAM by incorporating perceived enjoyment. Data were collected from 412 Malaysians analyzed using "Partial Least Squares" approach. Findings confirmed significance enjoyment, revealing that information accuracy, completeness, diagnosticity greatly influence usefulness. These results enhance understanding ChatGPT's in gathering, extend TAM, highlight how informational cues impact usefulness, guiding developers marketers encourage customer text generators.

Язык: Английский

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