The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions

Journal of Computer Information Systems, Journal Year: 2023, Volume and Issue: unknown, P. 1 - 32

Published: Oct. 5, 2023

ABSTRACTIn a short span of time since its introduction, generative artificial intelligence (AI) has garnered much interest at both personal and organizational levels. This is because potential to cause drastic widespread shifts in many aspects life that are comparable those the Internet smartphones. More specifically, AI utilizes machine learning, neural networks, other techniques generate new content (e.g. text, images, music) by analyzing patterns information from training data. enabled have wide range applications, creating personalized improving business operations. Despite benefits, there also significant concerns about negative implications AI. In view this, current article brings together experts variety fields expound provide multi-disciplinary insights on opportunities, challenges, research agendas specific industries (i.e. marketing, healthcare, human resource, education, banking, retailing, workplace, manufacturing, sustainable IT management).KEYWORDS: Generative intelligencemachine learninglarge language modelChatGPTBard Disclosure statementNo conflict was reported author(s).

Language: Английский

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Are users willing to embrace ChatGPT? Exploring the factors on the acceptance of chatbots from the perspective of AIDUA framework

Technology in Society, Journal Year: 2023, Volume and Issue: 75, P. 102362 - 102362

Published: Sept. 14, 2023

Language: Английский

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Role of trust in customer attitude and behaviour formation towards social service robots

International Journal of Hospitality Management, Journal Year: 2023, Volume and Issue: 114, P. 103587 - 103587

Published: Aug. 26, 2023

Language: Английский

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Artificial intelligence: an overview of research trends and future directions

International Journal of Contemporary Hospitality Management, Journal Year: 2024, Volume and Issue: unknown

Published: April 2, 2024

Purpose This study aims to offer an overview of hospitality and tourism research on artificial intelligence (AI) its impact the industry. More specifically, this examines AI trends in customer service experience creation delivery, failure recovery, human resources organizational behavior. Based review, identifies challenges opportunities provides directions for future studies. Design/methodology/approach A narrative synthesis approach was used review various aspects Findings applications delivery possible effects employees organizations are viewed as a double-edged sword. Although use offers benefits, there also serious concerns over ethical AI, replacement by AI-powered devices, discomfort among customers trust toward AI. Originality/value The paper updated holistic implications different facets Challenges discussed foster discussions scholars industry professionals.

Language: Английский

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Is it the end of the technology acceptance model in the era of generative artificial intelligence?

International Journal of Contemporary Hospitality Management, Journal Year: 2024, Volume and Issue: 36(10), P. 3324 - 3339

Published: Jan. 17, 2024

Purpose The technology acceptance model (TAM) is a widely used framework explaining why users accept new technologies. Still, its relevance questioned because of evolving consumer behavior, demographics and technology. Contrary to research paper or systematic literature review, the purpose this critical reflection discuss TAM's limitations in hospitality tourism research. Design/methodology/approach This uses reflective approach, enabling comprehensive review synthesis recent academic on TAM. evaluation encompasses historical trajectory, evolutionary growth, identified and, more specifically, context Findings within revolve around individual-centric perspective, limited scope, static nature, cultural applicability reliance self-reported measures. Research limitations/implications To optimize efficacy, authors propose several strategic recommendations. These include embedding TAM specific industry, delving into TAM-driven artificial intelligence adoption, integrating industry-specific factors, acknowledging nuances using methods, such as mixed methods approach. It imperative for researchers critically assess suitability their studies be open exploring alternative models that can adeptly navigate distinctive dynamics industry. Originality/value prompts profound exploration adoption dynamic sector, makes insightful inquiries future potential presents

Language: Английский

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Embracing digital companions: Unveiling customer engagement with anthropomorphic AI service robots in cross-cultural context

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 79, P. 103825 - 103825

Published: March 18, 2024

Language: Английский

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Rapport with a chatbot? The underlying role of anthropomorphism in socio-cognitive perceptions of rapport and e-word of mouth

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 77, P. 103666 - 103666

Published: Jan. 3, 2024

This study examines the impact of rapport with chatbots on electronic word mouth (e-WOM), in first phase, by considering several antecedents including anthropomorphism. In second deeper insights are provided into moderated mediation role and moderation effect value creation hedonic motivation e-WOM engagement. With tourism services as research context, a survey was conducted among 257 visitors from three countries (China, India New Zealand), selected due to their diverse cultural backgrounds higher number inbound Australia. The partial least squares method used for data analysis along multi-group analysis. Findings report positive anthropomorphism developing digital interactions. Interestingly, had highest China followed India. only significant China, whereas moderator both Zealand. extends social exchange theory human–chatbot or artificial intelligence (AI) interaction context implications. findings useful organizations relying customer AI-based ensure long-term service through

Language: Английский

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Artificial intelligence research: A review on dominant themes, methods, frameworks and future research directions

Telematics and Informatics Reports, Journal Year: 2024, Volume and Issue: 14, P. 100127 - 100127

Published: March 7, 2024

This article presents an analysis of artificial intelligence (AI) in information systems and innovation-related journals to determine the current issues stock knowledge AI literature, research methodology, frameworks, level conceptual approaches identify gaps for future investigations. A total 85 peer-reviewed articles from 2020 2023 were used analysis. The findings show that extant literature is skewed towards prevalence technological highlights relatively lower focus on other themes, such as contextual co-creation issues, conceptualisation, application domains. While there have been increasing with intelligence, three identified areas security concern are data security, model network security. Furthermore, review found contemporary AI, which continually drives boundaries computational capabilities tackle increasingly intricate decision-making challenges, distinguishes itself earlier iterations two primary aspects significantly affect organisational learning dealing AI's potential: autonomy learnability. study contributes by providing insights into approaches, framework help

Language: Английский

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How service robots’ human-like appearance impacts consumer trust: a study across diverse cultures and service settings

International Journal of Contemporary Hospitality Management, Journal Year: 2024, Volume and Issue: 36(9), P. 3151 - 3167

Published: Jan. 17, 2024

Purpose This study aims to compares the effects of different human-like appearances (low vs. medium high) service robots (SRs) on consumer trust in (CTSR), examines mediating role perceived warmth (WA) and competence (CO) demonstrates moderating culture setting. Design/methodology/approach The research design includes three scenario-based experiments (Chinese hotel setting, American Chinese hospital setting). Findings Study 1 found SR’s appearance can arouse anthropomorphism (PA), which positively affects CTSR through parallel mediators (WA CO). 2 revealed consumers from (vs. American) had higher CTSR. 3 showed WA CO for SRs credence experience) authors also an exploratory analysis uncanny valley phenomenon. Practical implications findings have practical promoting diffusion hospitality industry. Managers increase by augmenting anthropomorphic SRs; however, they must consider differences this effect across all recipients (consumers cultures) settings. Originality/value introduce as between PA set setting moderators.

Language: Английский

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Pursuing the drivers of consumer behaviour toward service robots in the hotel industry

International Journal of Hospitality Management, Journal Year: 2024, Volume and Issue: 120, P. 103752 - 103752

Published: April 25, 2024

Language: Английский

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