Generative artificial intelligence (ChatGPT): Implications for management educators

The International Journal of Management Education, Journal Year: 2023, Volume and Issue: 21(3), P. 100857 - 100857

Published: July 26, 2023

ChatGPT has been one of the most talked about computer programs amongst management educators in recent weeks due to its transformative ability change how assessments are undertaken and graded. Unlike other educational technologies that can be tracked when used, superior abilities make it virtually untraceable used. This creates a dilemma for wanting utilise technology whilst staying relevant but also interested authentic learning. Thus, is critical quickly implement policies regarding subsequent new generative artificial intelligence because ease use affordability. article conceptual nature discusses as form presents challenges need addressed through appropriate strategies. Thereby contributing literature on technological innovations included curriculum design learning practices. Practical managerial implications stated highlight re-examine existing education practices way incorporating innovation utilised beneficial way.

Language: Английский

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A study on ChatGPT for Industry 4.0: Background, potentials, challenges, and eventualities

Journal of Economy and Technology, Journal Year: 2023, Volume and Issue: 1, P. 127 - 143

Published: Aug. 24, 2023

ChatGPT is an Artificial Intelligence (AI)-powered Natural Language Processing (NLP) tool that comprehends and produces text in response to given commands. It can be adopted for various requirements, like answering our inquiries, assisting us with content creation, translating languages, more. The fourth industrial revolution, called "Industry 4.0," denotes a new production age focused on automation, digitalisation, real-time connectivity of systems. help Industry 4.0 variety ways. AI-driven process optimisation poised revolutionise by enhancing productivity, quality assurance, efficiency. For developing this paper, articles ChatGPT/ AI were identified through Scopus, ScienceDirect, Google Scholar ResearchGate. progresses due the incorporation cutting-edge technology AI, Machine Learning (ML), NLP Manufacturing operations are changing. language model becoming well-known daily use because its promising applications. In framework 4.0, it promises processes assist advancement boosting business productivity This paper studies major need 4.0. Various associated features, traits versatile competencies briefed. Finally, identifies discusses significant applications very flexible efficient method creating human-machine interfaces automatically generating text, which provides proper knowledge guidance employee. Applications include chatbots, virtual assistants, automated customer care, translation, production. future, will become effective communication automating

Language: Английский

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Technological innovation-enabling industry 4.0 paradigm: A systematic literature review

Technovation, Journal Year: 2023, Volume and Issue: 124, P. 102733 - 102733

Published: March 7, 2023

Technological innovation and the Industry 4.0 paradigm have gained increasing attention from both scientific community practitioners, with two themes being considered topical research avenues of great interest. Adopting a systematic literature review approach, this paper aimed to provide an overview existing that focuses on interplay between these aspects. The analysis carried out offers in-depth selected sources bibliometric highlights various aspects evolution identification five clusters: theories; technologies; methodologies countries; areas sectors; current future impacts, which debate has developed. On basis clusters emerged, content was performed highlight focus in field technological under paradigm. also agenda order identify unexplored promising paths can be inspiration for those who intend address issues relation 5.0.

Language: Английский

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The implementation of artificial intelligence in organizations: A systematic literature review

Information & Management, Journal Year: 2023, Volume and Issue: 60(5), P. 103816 - 103816

Published: May 3, 2023

Language: Английский

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A CRITICAL REVIEW OF AI-DRIVEN STRATEGIES FOR ENTREPRENEURIAL SUCCESS

International Journal of Management & Entrepreneurship Research, Journal Year: 2024, Volume and Issue: 6(1), P. 200 - 215

Published: Jan. 25, 2024

In the rapidly evolving landscape of entrepreneurship, integration Artificial Intelligence (AI) has emerged as a transformative force, reshaping traditional business paradigms and offering unprecedented opportunities for success. This paper provides comprehensive critical review AI-driven strategies employed by entrepreneurs to enhance their ventures. The encompasses thorough analysis key AI applications, impact on various aspects potential benefits challenges associated with implementation. first section explores role in market analysis, highlighting how advanced data analytics predictive modelling contribute informed decision-making forecasting. discussion then extends innovations product development, emphasizing acceleration ideation, prototyping, customization through machine learning algorithms. Next, scrutinizes influence customer engagement relationship management. It delves into personalized experiences facilitated chatbots, recommendation systems, sentiment while also addressing ethical considerations surrounding privacy algorithmic biases. Entrepreneurial operations efficiency gains are examined subsequent section, AI's supply chain management, logistics, resource optimization. underscores increased productivity cost-effectiveness implementation AI-powered automation smart systems. Despite myriad advantages, critically examines such concerns, job displacement, digital divide. emphasizes need balanced approach that addresses societal adoption fostering inclusive entrepreneurial ecosystems. conclusion, this not only overview current entrepreneurship but offers insights future developments challenges. Entrepreneurs, policymakers, researchers can leverage navigate intersection sustainable ethically sound environment success era. Keywords: (AI), Entrepreneurship, Strategic Implementation, Innovation, Market Analysis, Predictive Modelling.

Language: Английский

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Artificial-Intelligence-Supported Reduction of Employees’ Workload to Increase the Company’s Performance in Today’s VUCA Environment

Sustainability, Journal Year: 2023, Volume and Issue: 15(6), P. 5019 - 5019

Published: March 12, 2023

This paper aims to develop a multidimensional model of AI-supported employee workload reduction increase company performance in today’s VUCA environment. Multidimensional constructs the include several aspects artificial intelligence related human resource management: organizational culture, leadership, appropriate training and development employees, employees’ perceived their by AI, engagement, company’s performance. The main survey involved 317 medium-sized large Slovenian companies. Structural equation modeling was used test hypotheses. results show that three (AI-supported employees) have statistically significant positive effect on AI. In addition, reduced AI has engagement. engagement concept is based fact growth cannot be achieved increasing number employees or adding capital; added value comes primarily from increased productivity, which result innovative ability work improve will significantly contribute creating new views field adopting important decisions working conditions for rapidly changing

Language: Английский

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Examining the Impact of Artificial Intelligence and Internet of Things on Smart Tourism Destinations: A Comprehensive Study

Aptisi Transactions On Technopreneurship (ATT), Journal Year: 2023, Volume and Issue: 5(2sp), P. 135 - 145

Published: Aug. 10, 2023

This research focuses on the high urgency of utilizing Artificial Intelligence (AI) and Internet Things (IoT) to enhance Smart Tourism Destinations (STDs). The integration AI IoT technologies offers unprecedented opportunities revolutionize various aspects tourism, from personalized recommendations real-time data collection. aims provide a comprehensive analysis current state, challenges, future direction STDs in context integration. It explores techniques IoT-enabled collection mechanisms that can enrich traveler experience improve destination management. However, challenges such as privacy security issues need be addressed. also provides foresight into like Augmented Reality (AR) Virtual (VR) further STDs. ultimate goal is contribute development smarter, visitor-oriented tourism destinations. highlights significance shaping emphasizes importance addressing ethical considerations, quality, interpretability, human-AI collaboration ensure responsible effective use industry.

Language: Английский

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Redefining entrepreneurship education in the age of artificial intelligence: An explorative analysis

The International Journal of Management Education, Journal Year: 2023, Volume and Issue: 21(3), P. 100879 - 100879

Published: Oct. 7, 2023

Language: Английский

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Digital entrepreneurship and entrepreneurship education: a review of the literature

International Journal of Entrepreneurial Behaviour & Research, Journal Year: 2023, Volume and Issue: 30(2/3), P. 277 - 304

Published: Sept. 25, 2023

Purpose Continuous advances in digital technology and business models digitalization have decisively altered the entrepreneurial landscape redefining aims requirements of education to suit new reality entrepreneurship. The purpose this study is shed light a neglected niche intersection between entrepreneurship (DE) outline DE as field research. Given that interdisciplinary growth research outpaces instructional designs terms required knowledge skills, it important document how responds ongoing integration emerging technologies with process. Moreover, introduction conceptual framework would facilitate discussion on theoretical practical implications promote conceptualizations future research, educational approaches curriculum designs. Design/methodology/approach A concept-driven, semi-structured developmental literature review methodology, based grounded theory reinforced increased systemization, was used for identification analysis peer-reviewed articles. Previous reviews were define search keywords. articles from three databases carefully selected, protocol strict eligibility criteria. papers final set classified four primary dimensions, synthesized several sub-streams Each sub-stream highlighting different view emerged through open, axial selective coding combined perspectives these dimensions resulted framework. Findings Thematic interrelation studies examined, revealed an ample various schools thought field, offering also better understanding addresses dimensional produced highlights pedagogy learning, success factors barriers, behavioral approach ecosystems current trends Also, directions are proposed. Practical classification proposed can serve roadmap educators seeking efficient pedagogical practices focused transfer training skills by motivate researchers aiming propose novel interventions. Originality/value Although has gained significant momentum recent years, little attention paid its requirements. body develops uncontrolled fragmented manner, systematic perspective missing. This offers representative picture topic, synthesizes disciplinary origins, provides linkages unconnected streams points out gaps. Finally, proposes circumscribe basis help move forward.

Language: Английский

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Building entrepreneurial resilience during crisis using generative AI: An empirical study on SMEs

Technovation, Journal Year: 2024, Volume and Issue: 135, P. 103063 - 103063

Published: June 25, 2024

Recently, Gen AI has garnered significant attention across various sectors of society, particularly capturing the interest small business due to its capacity allow them reassess their models with minimal investment. To understand how and medium-sized firms have utilised AI-based tools cope market's high level turbulence caused by COVID-19 pandemic, geopolitical crises, economic slowdown, researchers conducted an empirical study. Although is receiving more attention, there remains a dearth studies that investigate it influences entrepreneurial orientation ability cultivate resilience amidst market turbulence. Most literature offers anecdotal evidence. address this research gap, authors grounded theoretical model hypotheses in contingent view dynamic capability. They tested using cross-sectional data from pre-tested survey instrument, which yielded 87 useable responses medium enterprises France. The used variance-based structural equation modelling commercial WarpPLS 7.0 software test model. study's findings suggest EO influence on building as higher-order lower-order capabilities. However, negative moderating effect path joins resilience. results assumption will positive effects capabilities competitive advantage not always true, linear does hold, consistent some scholars' assumptions. offer contributions open new avenues require further investigation into non-linear relationship

Language: Английский

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