Journal of the Knowledge Economy, Год журнала: 2024, Номер unknown
Опубликована: Июнь 25, 2024
Язык: Английский
Hybrid Advances, Год журнала: 2024, Номер 7, С. 100277 - 100277
Опубликована: Авг. 23, 2024
Artificial Intelligence (AI) technology's rapid advancement has significantly changed various industries' operations. This comprehensive review paper aims to provide readers with a deep understanding of AI's applications & implementations, workings, and potential impacts across different sectors. It also discusses its future, threats, integration into new policy. Through extensive research on more than 200 many other sources, the authors have made every effort present an accurate overview numerous AI nowadays in industries such as agriculture, education, autonomous systems, healthcare, finance, entertainment, transportation, military, manufacturing, more. The explores technologies, including machine learning, robotics, big data, Internet Things, natural language processing, image object detection, virtual reality, augmented speech recognition, computer vision. provides real-world examples their implementations. Moreover, it highlights evaluates future potential, challenges, limitations associated widespread use AI. Our study incorporates latest offer nuanced benefits challenges. data-driven case immense technology addresses ethical, societal, economic considerations related implementation.
Язык: Английский
Процитировано
71
Technological Forecasting and Social Change, Год журнала: 2024, Номер 200, С. 123189 - 123189
Опубликована: Янв. 11, 2024
This study explores the interlink between AI capabilities and circular business models (CBMs) through a literature review. Extant reveals that can act as efficiency catalyst, empowering firms to implement CBM. However, journey harness for CBM is fraught with challenges grapple lack of sophisticated processes routines tap into AI's potential. The fragmented leaves void in understanding barriers development pathways contexts. Bridging this gap, adopting perspective, review intricately brings together four pivotal capabilities: integrated intelligence capability, process automation augmentation infrastructure platform ecosystem orchestration capability drivers AI-enabled These are vital navigating multi-level utilizing key contribution synthesis an framework, which not only summarizes results but also sets stage future explorations dynamic field.
Язык: Английский
Процитировано
22
Review of Managerial Science, Год журнала: 2024, Номер unknown
Опубликована: Апрель 18, 2024
Abstract This study intends to scrutinize the role of Artificial Intelligence (AI) in Product-Service Innovation (PSI). The literature on AI enabled PSI, other related innovation business models, product-service systems, and servitization has grown significantly since 2018; therefore, there is a need structure systematic manner add what been studied thus far. Product-service used represent relevance achieving models dealing with outcomes including artificial intelligence. bibliographic coupling analyze 159 articles emerging from fields computer sciences, engineering, social decision management. review depicts structures comprising five (5) clusters, namely, (1) technology adoption transformational barriers, which barriers faced during AI-enabled technologies following transformation; (2) data-driven capabilities innovation, highlights data-based supported through innovation; (3) digitally model explained how occurs; (4) smart design changes sustainability, reveals working product service environments different transformations based sustainability; sectorial application, industry examples. Each cluster comprehensively analyzed its contents, central themes, theories, methodologies, help identify gaps support suggestions for future research directions.
Язык: Английский
Процитировано
21
Journal of Innovation & Knowledge, Год журнала: 2024, Номер 9(2), С. 100481 - 100481
Опубликована: Март 23, 2024
Knowledge creation is the foundation for indigenous innovation in manufacturing enterprises; however, effects of digital transformation on knowledge are still not well understood. Nonaka put forward model creation, which includes four processes: socialization, externalization, combination, and internalization, known as famous SECI model. Based model, this study analyzes processes, using panel data from Chinese listed enterprises 2007 to 2020. The provides several novel findings. First, positively affects all with combination capability being particularly notable. Second, digitalization inputs externalization insignificant but exert a negative impact socialization internalization. Third, heterogeneity analysis reveals that facilitating effect more significant state-owned large enterprises. Moreover, it primarily acts "cherry top," significantly benefiting already have strong capabilities. A low level technology development region where an enterprise located will inhibit role promoting socialization. Furthermore, culture regional environments play positive moderating roles. This contributes further understanding how enterprises' activities.
Язык: Английский
Процитировано
20
Journal of Business Research, Год журнала: 2024, Номер 182, С. 114764 - 114764
Опубликована: Июнь 14, 2024
Язык: Английский
Процитировано
20
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
18
Advances in finance, accounting, and economics book series, Год журнала: 2025, Номер unknown, С. 79 - 96
Опубликована: Янв. 31, 2025
This chapter investigates the extraordinary job of computer-based intelligence in current business conditions, accentuating its effect on variety and advancement. Simulated advances are progressively being used to smooth out enrolment processes, alleviate predispositions, encourage comprehensive workplaces. By dissecting huge datasets distinguishing designs, simulated devices upgrade dynamic employing, execution assessments, group elements, prompting more impartial practices. The discusses important theoretical frameworks that support integration AI promotion workplace diversity, such as algorithmic fairness theory diversity inclusion theory. It additionally presents contextual analyses fruitful artificial intelligence-driven drives, featuring how associations like IBM Accenture influence foster designated systems track measurements.
Язык: Английский
Процитировано
8
International Journal of Production Economics, Год журнала: 2025, Номер unknown, С. 109519 - 109519
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
5
International Review of Economics & Finance, Год журнала: 2025, Номер unknown, С. 103923 - 103923
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
5
Sustainable Technology and Entrepreneurship, Год журнала: 2025, Номер unknown, С. 100098 - 100098
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
2