Factors affecting performance expectancy and intentions to use ChatGPT: Using SmartPLS to advance an information technology acceptance framework

Technological Forecasting and Social Change, Год журнала: 2024, Номер 201, С. 123247 - 123247

Опубликована: Фев. 6, 2024

Few studies have explored the use of artificial intelligence-enabled (AI-enabled) large language models (LLMs). This research addresses this knowledge gap. It investigates perceptions and intentional behaviors to utilize AI dialogue systems like Chat Generative Pre-Trained Transformer (ChatGPT). A survey questionnaire comprising measures from key information technology adoption models, was used capture quantitative data a sample 654 respondents. partial least squares (PLS) approach assesses constructs' reliabilities validities. also identifies relative strength significance causal paths in proposed model. The findings SmartPLS4 report that there are highly significant effects empirical investigation particularly between source trustworthiness performance expectancy chatbots, as well perceived interactivity intentions algorithm, among others. In conclusion, contribution puts forward robust acceptance framework clearly evidences factors entice online users habitually engage with text-generating chatbot technologies. implies although they may be considered useful interactive for content creators, is scope continue improving quality their responses (in terms accuracy timeliness) reduce misinformation, social biases, hallucinations adversarial prompts.

Язык: Английский

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AI and ethics in business: A comprehensive review of responsible AI practices and corporate responsibility

International Journal of Science and Research Archive, Год журнала: 2024, Номер 11(1), С. 1433 - 1443

Опубликована: Фев. 9, 2024

As artificial intelligence (AI) continues to revolutionize business landscapes, the ethical implications of its deployment have garnered significant attention. This paper presents a comprehensive review intersection between AI and ethics in context corporate responsibility. The integration into processes necessitates thorough understanding responsible practices ensure that technological advancements align with standards societal values. first dimension explored this is critical importance transparency algorithms decision-making processes. Businesses adopting technologies must prioritize build trust among stakeholders, ensuring are understandable accountable. Ethical considerations also extend issues bias fairness, prompting need for diverse inclusive datasets prevent discriminatory outcomes. Corporate responsibility realm extends beyond technical aspects, encompassing broader socio-economic impact implementation. highlights significance considering effects on employment, inequality, accessibility. urged adopt guidelines well-being employees society at large, mitigating potential negative consequences employment dynamics social structures. Furthermore, delves surrounding data privacy security, emphasizing handling practices. businesses accumulate vast amounts data, it becomes imperative protection individuals' rights, reinforcing foundation applications. underscores integrate within framework By prioritizing transparency, practices, organizations can navigate complex terrain implementation while alignment values standards. synthesis essential fostering sustainable future.

Язык: Английский

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The governance of artificial intelligence in Canada: Findings and opportunities from a review of 84 AI governance initiatives

Government Information Quarterly, Год журнала: 2024, Номер 41(2), С. 101929 - 101929

Опубликована: Апрель 3, 2024

In recent years, the effective governance of artificial intelligence (AI) systems has become a strategic necessity for many nations. Among those nations, Canada is particularly noteworthy: was first nation to implement national AI strategy, and more recently, Canada's federal provincial governments have designed implemented wide range initiatives that attempt intervene in variety potential impacts associated with systems. We present semi-systematic review synthesis 84 initiatives. find predominantly focus on developing programs, policies, plans industry innovation, technology production use, research, public administration. Conversely, we relatively little ethics statements or standards, as well intervening social workforce development services, education training, digital infrastructure. suggest three opportunities researchers four practitioners that, if enacted, would strengthen overall state Canadian governance. Our study contributes novel macro-scale within context, practical challenges related evaluation initiative outcomes, trust participation initiatives, impact representation unification.

Язык: Английский

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Promoting sustainable development goals through generative artificial intelligence in the digital supply chain: Insights from Chinese tourism SMEs

Sustainable Development, Год журнала: 2024, Номер unknown

Опубликована: Авг. 31, 2024

Abstract Interdisciplinary advancements, such as generative artificial intelligence (AI) and digital supply chains, can significantly contribute to achieving sustainable development goals (SDGs), particularly within tourism. This paper illuminates how it works well, focusing on the underexplored area of Environmental, Social, Governance (ESG) performance small medium‐sized tourism enterprises (SMEs) in China. Through a survey 429 international SMEs, we apply Resource‐Based View Dynamic Capabilities Theory investigate AI, ChatGPT, chains enhance innovation, collaboration, and, ultimately, ESG performance. The empirical findings underscore pivotal role AI augmenting via bolstering innovation collaboration chains. Additionally, moderating effect customer involvement positively influences relationship between chain By demonstrating these relations, our study contributes theoretical practical efforts toward broader achievement SDGs.

Язык: Английский

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Ethical implementation of artificial intelligence in the service industries

Service Industries Journal, Год журнала: 2024, Номер 44(9-10), С. 661 - 685

Опубликована: Май 30, 2024

This study employs a systematic literature review (SLR) combined with bibliometric analysis to investigate the ethical implementation of Artificial Intelligence (AI) in service industries. research uncovers key challenges such as privacy, bias, transparency, and accountability, emphasizing critical need for AI practices sectors handling sensitive customer data. Findings reveal that AI's is crucial areas like decision support, engagement, automation, new development. The provides actionable insights into enablers, including guidelines, human oversight, comprehensive training, adaptive organizational culture, which are essential unlocking potential mitigating risks. offers roadmap future research, advocating interdisciplinary collaboration, co-creation frameworks, sector-specific policy adaptation, ultimately aiming build responsible trustworthy

Язык: Английский

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Neuromarketing algorithms’ consumer privacy and ethical considerations: challenges and opportunities

Cogent Business & Management, Год журнала: 2024, Номер 11(1)

Опубликована: Апрель 4, 2024

This research investigates the ethical and privacy issues arising from using AI andML in neuromarketing, framed by rule utilitarianism. It assesses impact of these technologies on consumerprivacy human rights through a combination literature review, bibliometric analysis, empirical data fromsurveys interviews with experts US Spain. The study reveals tensions between efficacy ofneuromarketing techniques imperative to protect consumer privacy, particularly light GDPR'sinfluence global practices. emphasizes need for internationally consistent standards consumerdata regulations, drawing comparative analysis policies EU. outcomes include policyrecommendations minimize risks promote responsible progression neuromarketing. Theserecommendations guide companies managers toward transparency accountability. Additionally, theresearch offers policy framework crafting neuromarketing practices that reconcile technological progresswith well-being, thereby contributing broader discussions embedding ethics within innovation.

Язык: Английский

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Leveraging artificial intelligence and blockchain in accounting to boost ESG performance: the role of risk management and environmental uncertainty

International journal of organizational analysis, Год журнала: 2025, Номер unknown

Опубликована: Март 4, 2025

Purpose This study aims to explore key questions within the context of Asian countries: How do artificial intelligence (AI) and blockchain adoption in accounting influence enterprise risk management environmental, social governance (ESG) performance? What role does have as a mediator this relationship? In addition, how environmental uncertainty shape interplay between AI accounting, ESG Design/methodology/approach The authors collected data from Thomson Reuters Eikon Datastream, initially targeting 20 countries with highest gross domestic product (GDP) per capita. Using stringent selection criteria, research sample included 22,212 firms these Bahrain, China, Hong Kong, Indonesia, Israel, Japan, Jordan, Kazakhstan, South Korea, Kuwait, Lebanon, Malaysia, Oman, Qatar, Saudi Arabia, Singapore, Sri Lanka, Thailand, United Arab Emirates Vietnam. After rigorous screening process, final comprised 1,742 firms, representing 17,420 firm-year observations over 2014–2023 period. paper applied maximum likelihood structural equation modeling analyze data. Findings findings reveal that both along management, positively impact performance context. Enterprise serves mediating factor performance. significantly moderates relationships well Practical implications uncovers internal factors – such external factors, notably uncertainty, fostering sustainable value for firms. Internal enable integrate considerations into their operations, facilitating mitigation enhancing Meanwhile, heightened drives practices. Consequently, Governments should prioritize development regions characterized by high advance national goals encourage responsible business Originality/value contributes existing literature uncovering combined effects on performance, offering empirical evidence GDP Specifically, it underscores efficacy moderating

Язык: Английский

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Beyond the Business Case for Responsible Artificial Intelligence: Strategic CSR in Light of Digital Washing and the Moral Human Argument

Sustainability, Год журнала: 2024, Номер 16(3), С. 1232 - 1232

Опубликована: Фев. 1, 2024

This paper, normative in nature and scope, addresses the perks limits of strategic CSR approach when confronted with current debates on ethics artificial intelligence, responsible sustainable technology business organizations. The paper summarizes classic arguments underpinning “business case” for social responsibility businesses main moral behavior light recent technological ethical challenges. Both streams are organizational dilemmas arising designing deploying yielding tensions between economic goals. While recognizing effectiveness argument some its limits, particularly “digital washing” phenomenon. Exemplary cases digital washing corporate inconsistencies here discussed taken from literature topic re-assessed proposed approach. Hence, proposes to overcome case applied AI, which mainly focuses compliance reputational risks seeks returns washing, by highlighting supporting a AI. work contributes at intertwining AI proposing point view how deploy organizations dealing AI-related dilemmas. It does so critically reviewing state-of-the-art studies debate, which, far, contain different research, adding such body what is identified labeled as “human argument”.

Язык: Английский

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Reflections and attentiveness on eXplainable Artificial Intelligence (XAI). The journey ahead from criticisms to human-AI collaboration

Information Fusion, Год журнала: 2025, Номер unknown, С. 103133 - 103133

Опубликована: Март 1, 2025

Язык: Английский

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Security, privacy, and robustness for trustworthy AI systems: A review

Computers & Electrical Engineering, Год журнала: 2024, Номер 119, С. 109643 - 109643

Опубликована: Сен. 6, 2024

Язык: Английский

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