Navigating the challenges of generative technologies: Proposing the integration of artificial intelligence and blockchain

Business Horizons, Год журнала: 2024, Номер 67(5), С. 525 - 535

Опубликована: Апрель 12, 2024

Язык: Английский

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Managerial framework for evaluating AI chatbot integration: Bridging organizational readiness and technological challenges

Business Horizons, Год журнала: 2024, Номер 67(5), С. 595 - 606

Опубликована: Май 21, 2024

The ubiquity of chatbots continues to expand offering a multitude benefits for firms. While acknowledging the capabilities AI handle customer interactions and improve response times, we critically examine several challenges they present - including interoperability challenges, data protection concerns, biased output. This research presents novel framework managers assess firm's readiness adopt chatbot technology through lens Technology Acceptance Model (TAM) which has been adapted account critical associated with emerging technology. Incorporating four factors namely subjective norms, compatibility, facilitating conditions trust allows more holistic assessment framework, together tool, provides comprehensive mechanism managerial decision-making, focusing on adoption enhancing strategic implementation these technologies in service, sales, marketing business functions. By exploring extended factors, our article offers an in-depth perspective implications integrating into processes, ensuring informed approach adoption.

Язык: Английский

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Insights Gained from Using AI to Produce Cases for Problem-Based Learning

Опубликована: Фев. 27, 2025

Язык: Английский

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Navigating the organizational AI journey: The phased AI transformation framework

Business Horizons, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

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Building Proficiency in GAI: Key Competencies for Success

Опубликована: Янв. 17, 2025

The rapid proliferation and adoption of generative Artificial Intelligence (GAI) underscores its ease use. However, there has been limited research exploring what constitutes proficient use GAI competencies underpin it. In this study, we adopt a grounded approach semi-structured interviews to explore how twenty-five expert users (all knowledge workers) define, exemplify, explain proficiency. A purposive sampling was adopted with the aim capturing input from experts range occupations sectors towards answering three questions. First, can identify characteristics that differentiate (more effective) GAI? Second, are seen underlie Third, benefits associated more tools? Analysis descriptions shared by revealed four aspects proficiency: effective prompting, informed responsible choices, diversity use, complexity frequency addition, following themes emerged analysis supporting GAI: literacy, domain expertise, communication skills, metacognition curiosity inquisitiveness, flexibility adaptability, diligence, (in some contexts) information technology skills. More have ranging improved productivity, higher quality output, original work. By offering comprehensive framework for GAI, in real-world experience, study guides further substantiates continuing relevance human knowledge, mindsets when working tools.

Язык: Английский

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The Role of Generative AI and Human-AI Interaction Technologies in Enhancing and Transforming Higher Education and the Manufacturing Industry: A Qualitative Study

Опубликована: Янв. 1, 2025

Язык: Английский

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Generative artificial intelligence in hospitality and tourism: future capabilities, AI prompts and real-world applications

Journal of Hospitality Marketing & Management, Год журнала: 2025, Номер unknown, С. 1 - 32

Опубликована: Янв. 30, 2025

Язык: Английский

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Building Proficiency in Generative AI: Key Competencies for Success

Опубликована: Фев. 20, 2025

The rapid adoption of generative Artificial Intelligence (GenAI) underscores its ease use, yet research on GenAI proficiency and competencies is limited. This study uses semi-structured interviews with twenty-five expert users from various sectors to explore proficiency. aims answer three questions: What differentiates proficient use? support benefits does use provide? Three aspects emerged: effective prompting, informed responsible choices, diverse, complex use. following were seen GenAI: literacy, domain expertise, communication skills, metacognition, curiosity, flexibility, adaptability, diligence, IT skills. outcomes improved productivity, higher quality output, greater originality. framework, grounded in real-world experience, the importance human knowledge, mindsets for tools.

Язык: Английский

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Human-AI agency in the age of generative AI

Information and Organization, Год журнала: 2025, Номер 35(1), С. 100560 - 100560

Опубликована: Март 1, 2025

Язык: Английский

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Future of cyberspace: A critical review of standard security protocols in the post-quantum era

Computer Science Review, Год журнала: 2025, Номер 57, С. 100738 - 100738

Опубликована: Март 18, 2025

Язык: Английский

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