Опубликована: Янв. 1, 2024
Язык: Английский
Technological Forecasting and Social Change, Год журнала: 2024, Номер 208, С. 123653 - 123653
Опубликована: Авг. 24, 2024
In today's data-driven era, ubiquitous concern about environmental issues pushes more startups to engage in business model innovation that promotes environmentally friendly technologies. The goal of these is create technology-based products and services enhance sustainability. this context, artificial intelligence promises be a key instrument create, capture, deliver value. However, the existing literature lacks deep understanding how using AI innovate their models achieve positive impact. Therefore, paper investigates green technology utilize from perspective for We conduct qualitative, exploratory multiple-case study Eisenhardt methodology, based on interview data analyzed qualitative content analysis. derive five predominant manifestations AI-driven identify archetypical connections between dimensions. Further, we establish three overarching associations among cases. doing so, contribute theory practice by providing deeper account attempt maximize impact through AI. results also highlight driven can support society securing sustainable future.
Язык: Английский
Процитировано
14
International Journal of Managing Projects in Business, Год журнала: 2024, Номер unknown
Опубликована: Сен. 23, 2024
Purpose This paper delves into the transformative impact of artificial intelligence (AI) across diverse sectors, notably project management. It examines potential AI to revolutionize management processes within entrepreneurial ventures, where agility, efficiency and innovation reign supreme. Design/methodology/approach Through a comprehensive analysis, this study navigates intersection meticulously dissects opportunities presents, hurdles it introduces optimal strategies for harnessing its capabilities effectively. Drawing insights from complexity theory, framework is crafted delineate AI’s capacity substitute human involvement, elucidating key considerations transitioning digitally-driven paradigm in Findings The underscores augment significantly, particularly fostering agility innovation. However, challenges persist, necessitating adept navigation maximize benefits. delineates extent which can supplant roles, offering crucial digital transformation Practical implications Practitioners are equipped with valuable guidance on leveraging effectively, enhancing organizational performance. Understanding adoption fosters informed decision-making realm Social integration signifies broader societal shifts toward digitalization automation. Insights contribute navigating these transformations, greater resilience adaptability endeavors. Originality/value offers novel perspective management, shedding light unexplored terrain. By drawing advances nuanced understanding implications, paving way future research avenues dynamic field.
Язык: Английский
Процитировано
7
Royal Society Open Science, Год журнала: 2025, Номер 12(1)
Опубликована: Янв. 1, 2025
Artificial intelligence is transforming the way we work with information across disciplines and practical contexts. A growing range of are now involved in studying, developing assessing use AI practice, but these often employ conflicting understandings what its use. New, interdisciplinary approaches needed to bridge competing conceptualizations practice help shape future I propose a novel conceptual framework called Thinking, which models key decisions considerations disciplinary perspectives. Thinking addresses five practice-based competencies applying context: motivating use, formulating methods, available tools technologies, selecting appropriate data situating sociotechnical contexts it used in. hypothetical case study provided illustrate application practice. This article situates broader cross-disciplinary discourses AI, including connections ongoing discussions around literacy AI-driven innovation. can between diverse disciplines, actors space, efforts education, industrial development policy.
Язык: Английский
Процитировано
0
Revista Científica Sapientia Technological, Год журнала: 2025, Номер 6(1), С. 72 - 86
Опубликована: Янв. 13, 2025
Las organizaciones empresariales afrontan un entorno contemporáneo reacio y de dificultades crecientes, complejizado por externalidades tal como la COVID-19. Ante ello es necesario disponer herramientas dinámicas, congruentes con dinámica del que faculten resiliencia organizacional. Encontrando en las Ciencias Administrativas una fuente para afrontar tiempos reacios. ello, presente investigación procura reportar citadas literatura eficaces a instituciones medios referentes complicaciones robustas. El diseño aplicado fue tipo exploratorio ejercido medio revisión bases datos artículos científicos alto impacto acceso abierto. Se determinó administración procesos tecnología aprecio empresariales. Esquemas administrativos consolidados, gestión procesos, aplicaciones tecnológicas, entre ellas: inteligencia artificial digitalización, se establecen ejercer eficazmente organizacional ya permiten operativizar empresarial alta probabilidad éxito durante Abstract Business organizations face challenging contemporary environment of increasing difficulties, made more complex by externalities such as Given this, it is necessary to have dynamic tools, consistent with the dynamics and that enable organizational resilience. Finding in Administrative Sciences source tools reluctant times. this research seeks report cited literature effective institutions reference means robust complications. The design applied was an exploratory type carried out through review databases high-impact open access scientific articles. Process management technology were determined high appreciation business organizations. Consolidated administrative schemes, process management, technological applications, including: intelligence digitalization, are established effectively exercise resilience since they allow be operationalized probability success during difficult Keywords: resilience, organizations, administration, technology,
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
Review of Managerial Science, Год журнала: 2025, Номер unknown
Опубликована: Янв. 22, 2025
Язык: Английский
Процитировано
0
Advances in business strategy and competitive advantage book series, Год журнала: 2025, Номер unknown, С. 163 - 190
Опубликована: Янв. 3, 2025
Businesses are fundamentally changing because of AI, allowing for a greater focus on creativity. The chapter introduces advancements in AI like machine learning, predictive analytics, and natural language processing that help boost customer service, operational efficiencies asset monetization opportunities. Key considerations will include personalized engagements, process efficiencies, optimizing resources planning to set up new business models—subscription-based services/platform economies, etc. Emerging technologies artificial intelligence have broader implications e-commerce, finance, manufacturing—showing how firms use strategies gain competitive advantage foster growth. In addition, the addresses ethical bias, privacy as well workforce their role ensuring responsible practices. can improve flexibility, realizing highest level value maintaining advantage.
Язык: Английский
Процитировано
0
Advances in business strategy and competitive advantage book series, Год журнала: 2025, Номер unknown, С. 219 - 246
Опубликована: Янв. 3, 2025
Two major forces driving this transformation are business model innovation. Together, they redefining the core structures and capabilities of modern enterprises, enabling companies to adapt evolving consumer needs, optimize operations, create new value streams. At its core, innovation (BMI) is about how a creates, delivers, captures value. Traditionally, businesses have relied on stable, well-established models such as product sales, subscription services, or fee-based services. However, in world rapid technological advancement shifting expectations, need think beyond these conventional models. Business encourages organizations explore ways generating revenue, improving customer relationships, differentiating themselves from competitors.
Язык: Английский
Процитировано
0
Advances in finance, accounting, and economics book series, Год журнала: 2025, Номер unknown, С. 255 - 280
Опубликована: Фев. 7, 2025
Artificial intelligence (AI) is a key driver of digital transformation. However, companies need help with introducing and integrating AI into business processes. This paper examines how maturity models can assess strategically develop their maturity. The focus on the dimensions strategy, data, technology, people, governance, which structure progress in five development phases from exploration to Specific challenges success factors are analyzed based empirical case studies medium-sized companies. An additional enlightening role Large Language Models (LLMs) as driving force behind development. article shows importance valuable tool for use AI.
Язык: Английский
Процитировано
0
Frontiers in Artificial Intelligence, Год журнала: 2025, Номер 8
Опубликована: Март 24, 2025
Язык: Английский
Процитировано
0