Navigating the new frontier: the impact of artificial intelligence on students’ entrepreneurial competencies

International Journal of Entrepreneurial Behaviour & Research, Год журнала: 2024, Номер 30(11), С. 236 - 260

Опубликована: Авг. 7, 2024

Purpose Artificial intelligence (AI) technologies have led to significant transformations across industries and society, including the field of education. The integration AI in educational settings has potential improve students' learning experience support their individual competencies when paired with non-AI methods. Despite growing importance modern education, there remains a noticeable research gap regarding its use entrepreneurship education effects Chatbots on entrepreneurial competencies. To address this gap, an exploratory study was conducted undergraduate students who were tasked using ChatGPT business model canvas. Design/methodology/approach chosen methodology aligned purpose, aiming explore relationship between Generative Due novel nature problem, mixed methods approach. A survey open- closed-ended questions designed, statistical text analyses performed interpret data test identified propositions. Findings findings indicate that can enhance types considered study: spotting opportunities, creativity, vision, valuing ideas ethical sustainable thinking. results show be particularly helpful ability ideas. Originality/value Overall, highlights adopting experiential methodologies for enhancing improving outcomes.

Язык: Английский

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Leveraging generative artificial intelligence for sustainable business model innovation in production systems

International Journal of Production Research, Год журнала: 2025, Номер unknown, С. 1 - 26

Опубликована: Апрель 7, 2025

Язык: Английский

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From hype to strategy: navigating the reality of experimental strategic adoption of AI technologies in libraries

Reference Services Review, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 12, 2024

Purpose The article highlights the value of adopting an experimental strategy for artificial intelligence (AI) adoption in libraries, with a specific focus on University Toronto (UofT) libraries as case study. approach entails carrying out small-scale, effective, quick, and reversible experiments to increase awareness, reduce risks incorrect, ineffective, or full-scale adoption; flexibility new technologies rapidly evolving AI industry; open-mindedness consider diverse perspectives even though they go against one’s held perceptions, develop dynamic capabilities innovate. To fully realize revolutionary potential it is crucial adopt strategically, driven by experimentation, collaboration, knowledge sharing. Design/methodology/approach Mixed-model research involving study UofT author’s professional experiences digitally transforming used answer question. emerging area hence its applications libraries. Leveraging expertise, findings from are enriched, offering broader more nuanced implications. Findings Libraries can recognize opportunities, adapt shifting landscape, effectively exploit because development innovation. instance sheds light acts lens comprehend how strategically think about complete spectrum rather than keeping eye few that otherwise might just be overhyped media outlets. A mix centralization decentralization technology experimentation evident at UOT, where any librarian free test tool share their peers expectation other will embrace well. reverse scenario also conceivable (top management individual libraries). UofT’s culture fosters collaboration knowledge-sharing among librarians, promoting Cocreation patrons, including student entrepreneurs, enhances informs rational decisions. Looking results, some future directions emerge could strengthen library’s AI. indicate need further investigation into experiment design, particularly focusing policies, monitoring evaluation activities, fostering greater patrons. Additionally, exploring factors both organizational levels essential create supportive environment these experiments. Conducting continuous enables librarians critically assess leveraging various applications, allowing them distinguish practical solutions market hype concentrate options truly enhance library operations. Practical implications contributes strategic role libraries’ technologies. This paper offers guidance all sizes resource seeking It encourages creation collaborative patrons come together knowledge. explore directions—such defining integrating (M&E) effectiveness experiments, factors—to cultivate experimentation. aims number and, consequently, valuable Originality/value evolving, but current literature remains underdeveloped lacks comprehensive frameworks. Investigating practices sharing insights enable learning, helping improve overall process, innovation technologies, theoretical foundation maturity domain. outcomes hold significant wide range those hesitant due ethical concerns actively experimenting uniquely recommends intersection AI-driven digital transformations, cocreation, (M&E), models, policies ethically balances data privacies.

Язык: Английский

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Transforming Smart City and Smart Sustainable Tourism Projecting Artificial Intelligence and IoT

Advances in hospitality, tourism and the services industry (AHTSI) book series, Год журнала: 2024, Номер unknown, С. 55 - 80

Опубликована: Авг. 16, 2024

The swift progress of technology has led to the emergence notions smart cities and tourism, which are expected significantly transform both urban living travel experiences. Modern is used by maximize services, increase sustainability, improve quality life for their citizens. A subset this more comprehensive strategy called “smart tourism” focuses on using these technologies travelers' experiences make travels frictionless, educational, pleasurable. Cities that effectively utilize have potential not just standard its citizens but also offer tourists unique sustainable These ideas will surely be crucial in determining how future tourist destinations shaped as they develop further. This chapter explores mutually beneficial link between tourism cities, emphasizing advantages, difficulties, developments.

Язык: Английский

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Generative Artificial Intelligence (GenAI) in entrepreneurial education and practice: emerging insights, the GAIN Framework, and research agenda

International Entrepreneurship and Management Journal, Год журнала: 2025, Номер 21(1)

Опубликована: Март 28, 2025

Язык: Английский

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The transformative power of artificial intelligence in entrepreneurship: exploring AI’s capabilities for the success of entrepreneurial ventures

Future Business Journal, Год журнала: 2025, Номер 11(1)

Опубликована: Май 5, 2025

Abstract This study examines the influence of artificial intelligence (AI) capabilities on success entrepreneurial ventures by enhancing firms’ decision making, automation, customer experience, innovation, risk mitigation and competitive advantage. A quantitative approach was used to gather data from a sample 327 entrepreneurs through questionnaire. The collected information analyzed using structural equation modeling with SmartPLS software. Additionally, snowball sampling employed ensure diverse existing projects. analysis reveals significant effects AI in advantage, all contributing ventures. However, automation experience did not show statistically effects. results indicate that can leverage strategically adopt this technology. Policymakers investors use insights work foster supportive ecosystem for AI-driven Furthermore, new conceptual framework introduced enhances understanding how revolutionize entrepreneurship. It also provides valuable industry stakeholders operating environments. underscores importance making strategies integration reduction practices, ultimately enriching body knowledge implementation across various business settings.

Язык: Английский

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Impact of Motivation Factors for Using Generative AI Services on Continuous Use Intention: Mediating Trust and Acceptance Attitude

Social Sciences, Год журнала: 2024, Номер 13(9), С. 475 - 475

Опубликована: Сен. 9, 2024

This study aims to empirically analyze the relationship between motivational factors of generative AI users and intention continue using service. Accordingly, motives who use services are defined as individual, social, technical motivation factors. research verified effect these on tested meditating trust acceptance attitude. We this through verifying attitudes. An online survey was conducted language-based service such OpenAI’s ChatGPT, Google Bard, Microsoft Bing, Meta-Lama, a structural equation analysis total 356 surveys. As result analysis, all had positive (+) attitude toward accepting services. Among them, individual self-efficacy, innovation orientation, playful desire were found have greatest influence formation In addition, social identified that in When it comes AI, confirmed reputation or awareness directly affects usability.

Язык: Английский

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Factors influencing librarian adoption of ChatGPT technology for entrepreneurial support: A study protocol

Journal of Economy and Technology, Год журнала: 2024, Номер 2, С. 166 - 173

Опубликована: Апрель 22, 2024

Artificial intelligence (AI) has become a revolutionary force in the constantly evolving technology landscape, transforming many industries, including libraries. Libraries have been focusing on experimenting with emerging AI technologies to innovate their services, especially for supporting entrepreneurs. Generative AI, instance, ChatGPT, holds immense potential libraries by enabling them provide advanced support entrepreneurs, meeting business needs of or strengthening entrepreneurial education programs. By concentrating adoption generative librarians will be encouraged experiment and use expertise current test out future ones adopt more useful ones. The objective research is investigate factors influencing ChatGPT provision aims insights that can help formulate strategies successful library settings enhance To achieve objective, study adopts correlational design empirically hypothesis- relationship between latent variables affecting three stages adoption. Surveys administered actively engaged assisting aiming capture data various decisions, hence aiding empirical validation formulated hypothesis. Before commencing collection, participants provided detailed informed consent sheet outlining research's purpose, procedures involved, voluntary nature participation, risks involved. Only after explicitly are they granted access survey questionnaire. This ensures transparency ethical compliance throughout process. safeguard participant confidentiality maintain integrity, all securely stored password-protected cloud storage platforms, such as University OneDrive. Strict handling protocols followed, limited authorized team members. Moreover, participants' personal information not collected, ensuring anonymity privacy. Stringent quality assurance measures implemented ensure reliability validity findings. administration, pilot conducted refine instrument identify any ambiguities. testing adhere guidelines principles, mandatory consent, well storage, procedures, safety considerations outlined main study. Continuous monitoring peer review processes employed mitigate individual biases errors, thereby enhancing overall robustness outcomes. Data cleaning outlier detection imputation techniques, further reinforce integrity completeness dataset. Additionally, member checking accuracy alignment interpretations perspectives, bolstering credibility Through Partial Least Squares Structural Equation Modeling (PLS-SEM), collected undergo rigorous analysis using SmartPLS 4 software version, validating complex relationships different constructs theoretical model. both practical contributions. Theoretically, it seeks among enriching our understanding dynamics services. Practically, findings offer actionable librarians, stakeholders innovation. uncovering drivers barriers, develop dynamic capabilities technologies, foster co-creation patrons, strengthen entrepreneur results also greater implications countries where yet positioned innovation actor entrepreneurship.

Язык: Английский

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Usage of Gen AI in Employee Training and Development

Advances in human resources management and organizational development book series, Год журнала: 2025, Номер unknown, С. 103 - 132

Опубликована: Янв. 31, 2025

This paper explores how artificial intelligence can be used to improve the end outcomes of training being given employees, transforming them into valuable human resources in organisations. Moreover, Paradigm-shifting changes and breakthroughs technology, inventions, other innovations need organisations constantly upskill their personnel create next market disruption for cause. Businesses demand that materials methodology comparable programs developed stimulate workers learn keep involved processes researchers will use method bibliometric analysis from (2002 - 2024) SCOPUS 184 document Data It allows readers track evolution topic AI development, allowing future establish scientometric landscape research topic. adds body knowledge by shedding light on may help businesses turn workforce highly skilled valued resources.

Язык: Английский

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Factors influencing librarian adoptions of ChatGPT technology for entrepreneurial support

Library Hi Tech, Год журнала: 2025, Номер unknown

Опубликована: Фев. 4, 2025

Purpose Libraries, both public and academic, have expanded their roles to become crucial hubs of innovation business support. To cater the emerging needs patrons, including entrepreneurs, libraries must digitally transform innovate support services. This research aims empirically validate factors influencing adoption generative AI technologies (or switching intentions), particularly ChatGPT, among librarians providing The study explores multifaceted that shape librarians’ decisions adopt these or consider alternative solutions. Design/methodology/approach employed purposive convenience sampling select actively supporting businesses with some experience in technologies. After pilot testing questionnaire, it was refined administered via Google Forms, utilizing a Likert scale for responses. Informed consent obtained from participants, strict privacy protocols place. Data analysis conducted using partial least squares structural equation modeling (PLS-SEM) SmartPLS 4 software, adhering rigorous quality assurance protocols. Findings validated key intentions toward technologies, entrepreneurs. Identified encompass social influence, domain expertise, familiarity technology, system quality, training support, interaction convenience, anthropomorphism, perceptions usefulness, ease use enjoyment. These influence emotional responses technology affect regarding considering options. Notably, demographic variables – age, gender, years education level do not significantly intentions, underscoring inclusivity innovation. Practical implications offers practical various stakeholders, librarians, providers policymakers. Librarians can benefit fostering interdisciplinary collaborations co-creation initiatives strengthen networks, enhance evaluate customize Technology opportunity improve user by enhancing anthropomorphism. Policymakers within library settings through funding changes employment conditions. recommendations aim enable seamless integration while stakeholder collaboration drive address evolving needs. Originality/value enriches theories contexts empirical evidence insights into dynamics librarians. It enhances existing specifically focusing on its Despite growing interest settings, librarian has been lacking. By addressing this gap, contributes fields information sciences, entrepreneurship, management management, offering specificity depth our understanding decision-making processes.

Язык: Английский

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