Communications in computer and information science, Год журнала: 2024, Номер unknown, С. 96 - 108
Опубликована: Окт. 18, 2024
Язык: Английский
European Journal of Innovation Management, Год журнала: 2024, Номер unknown
Опубликована: Авг. 1, 2024
Purpose This study examines the existing literature on generative artificial intelligence (Gen AI) and its impact across many sectors. analysis explores potential, applications, challenges of Gen AI in driving innovation creativity generating ideas. Design/methodology/approach The adopts a comprehensive review approach, carefully assessing current scientific articles published from 2022 to 2024. trends insights derived research. Findings indicates that has significant potential augment human processes as collaborative partner. However, it is imperative prioritize responsible development ethical frameworks order effectively tackle biases, privacy concerns, other challenges. significantly transforming business models, processes, value propositions several industries, but with varying degrees effect. indicate also despite theory-driven approach investigating AI's creative innovative cutting-edge applications research prioritizes examining possibilities models. Research limitations/implications Although this offers picture great possibilities, concurrently underlines necessity for deep knowledge nuances fully harness capabilities. findings continuous exploration efforts are required address assure implementation. Therefore, more needed enhancing human-AI collaboration defining norms varied circumstances. Originality/value presents relevant transformational an catalyst. It emphasizes major issues integration.
Язык: Английский
Процитировано
18
Journal of Family Business Management, Год журнала: 2024, Номер unknown
Опубликована: Авг. 29, 2024
Purpose This paper examines the integration of artificial intelligence (AI) within family businesses, focusing on how AI can enhance their competitiveness, resilience and sustainability. The study seeks to provide insights into AI’s application in business contexts, addressing unique strengths challenges these businesses face. Design/methodology/approach A systematic literature review was conducted synthesize existing research adoption businesses. involved a comprehensive analysis relevant academic identify key trends, opportunities, factors influencing family-owned enterprises. Findings highlights significant potential for particularly improving operations, decision-making customer engagement. It identifies opportunities such as analysing data, enhancing brand building, streamlining operations experiences through technologies like Generative AI, Machine Learning, Chatbots NLP. However, resource constraints, inadequate infrastructure, low customization knowledge gaps inhibit firms. proposes an roadmap tailored outlines future directions based emerging themes use Originality/value addresses underexplored area contributing understanding intersection between offers synthesis research, providing valuable practical recommendations competitiveness sustainability adoption.
Язык: Английский
Процитировано
8
Journal of Family Business Management, Год журнала: 2025, Номер unknown
Опубликована: Янв. 15, 2025
Purpose This study aims to analyse the literature on digital transformation of family businesses and impact artificial intelligence this process, highlighting key areas interest future perspectives. Design/methodology/approach A bibliometric analysis is performed explore interconnection between variables relationships authors, countries journals in research area. The Scopus database was used as March 2024, data carried out with Bibliometrix for result VOSviewer scientific mapping. Findings confirms increasing relevance topic, a high number articles 2023. Prominent are identified, authors mainly from China Europe. Keywords “family business” firms” strongly linked, showing connection transformation. Family embracing era, must respond accordingly. Originality/value pioneering offers novel contribution, no prior has addressed topic. It lays groundwork research, identifying emerging themes significant potential.
Язык: Английский
Процитировано
1
Technology, work and globalization, Год журнала: 2025, Номер unknown, С. 221 - 262
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
Technology, work and globalization, Год журнала: 2025, Номер unknown, С. 3 - 28
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
International Journal of Information Management Data Insights, Год журнала: 2025, Номер 5(1), С. 100326 - 100326
Опубликована: Фев. 3, 2025
Язык: Английский
Процитировано
0
Journal of Family Business Management, Год журнала: 2025, Номер unknown
Опубликована: Янв. 22, 2025
Purpose As the knowledge-based theory of firm suggests, integrating leadership knowledge from non-family sources may be paramount in building competitive advantage, and is an invaluable resource successful firms. In volatile business environment, AI developments are among key drivers several thorough transformations, so possible relationship between top management talent readiness has become essential. Our paper examines this link family context, analyzing mediation role professionalization. Design/methodology/approach The adopted a quantitative research approach. Data about Hungarian firms were collected during March April 2024. authors used structural equation modeling, results with without controlling for size sector effect compared. final sample contained 112 Findings findings suggest that identified personal professionalization subdimensions have different roles external integration teams readiness. Without including control variables, development competence absorption fully mediate relationship, delegation subdimension does not significant role. These two effects significantly weaker inclusion variables. Research limitations/implications highlight importance firms, especially when preparing into processes. addition, also emphasize creating AI-compatible environment. Originality/value This aims to integrate evolving field on involvement corporate leadership. Professionalization dimensions defined, examined concerning highlights new directions enhance understanding outcomes.
Язык: Английский
Процитировано
0
Journal of Family Business Management, Год журнала: 2025, Номер unknown
Опубликована: Март 13, 2025
Purpose Despite increasing research on artificial intelligence (AI) in business, further studies are needed to understand how AI adoption shapes existing and develops new organisational capabilities. This paper aims examine fosters ambidexterity, both directly indirectly, through decision-making comprehensiveness (DMC), while also exploring the role of family involvement this process. Design/methodology/approach We gathered data a 2-wave survey among 582 management-level participants from UK firms addressed Prolific platform. A moderated mediation model was tested SPSS PROCESS. Findings find evidence partial mediation, as indirectly ambidexterity DMC. However, no moderating effect is observed. Family leverage for effectively non-family firms, with their focus long-term survival adaptability complementing AI-driven without compromising core values or socioemotional wealth. Practical implications Managers should consider adopting technologies strategic enabler improve DMC enhance ambidexterity. Our results suggest that may benefit equally despite potential hesitations. provide suggestions facilitate overcoming scepticism. Originality/value study responds calls insights into constructs clarify mechanisms behind integration capability development. By examining involvement, we explore businesses can adopt foster innovation capabilities preserving legacy. In doing so, bridge business literature.
Язык: Английский
Процитировано
0
Advances in finance, accounting, and economics book series, Год журнала: 2025, Номер unknown, С. 165 - 198
Опубликована: Фев. 7, 2025
The purpose of studying the nexus between Artificial Intelligence and Business management through a bibliometric perspective is to systematically analyze understand existing body scholarly literature on this topic.This paper aims review articles related with help analysis. A total number 699 documents were drawn from Scopus database out which 593 selected. To accomplish overview Research, techniques such as performance analysis scientific mapping applied. data was also organized, analyzed, presented using Bibliometrix package. study found that research has significant growth rate 7.05 percent. It discovered Chen Y Zhang produced most influential in field Industrial Marketing Management top-ranked journal.
Язык: Английский
Процитировано
0
Revista Inovação Projetos e Tecnologias, Год журнала: 2025, Номер 13(1), С. e27432 - e27432
Опубликована: Апрель 4, 2025
A gestão financeira desempenha um papel fundamental na estabilidade e no crescimento das empresas. categorização inadequada de despesas fluxo caixa pode acarretar consequências negativas, como relatórios financeiros imprecisos, dificuldades previsão do problemas identificação áreas com custos excessivos ou ineficientes (Silva Navarro & Valverde, 2023). O objetivo deste relato técnico é apresentar a aplicação uma ferramenta desenvolvida base em técnicas machine learning para resolver o problema da incorreta planilha empresa familiar alagoana setor varejista artigos armarinhos. método adotado foi pesquisa-ação, que, ambiente organizacional, busca frequentemente solucionar natureza técnica. Devido às inconsistências nas categorias atribuídas manualmente pelos funcionários, solução utilizando bibliotecas Python análise texto classificação dados. Modelos Regressão Logística Random Forest foram aplicados automatizar correção categorias. Como resultado, dessas permitiu melhora precisão despesas, alcançando acurácia 94% modelo Forest. Este estudo evidencia eficácia integração processos financeiros, demonstrando essas tecnologias podem contribuir maior eficiência, reduzindo erros otimizando empresarial.
Процитировано
0