Journal of the Knowledge Economy, Journal Year: 2024, Volume and Issue: unknown
Published: June 25, 2024
Language: Английский
Hybrid Advances, Journal Year: 2024, Volume and Issue: 7, P. 100277 - 100277
Published: Aug. 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.
Language: Английский
Citations
71
Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 200, P. 123189 - 123189
Published: Jan. 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.
Language: Английский
Citations
22
Review of Managerial Science, Journal Year: 2024, Volume and Issue: unknown
Published: April 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.
Language: Английский
Citations
21
Journal of Innovation & Knowledge, Journal Year: 2024, Volume and Issue: 9(2), P. 100481 - 100481
Published: March 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.
Language: Английский
Citations
20
Journal of Business Research, Journal Year: 2024, Volume and Issue: 182, P. 114764 - 114764
Published: June 14, 2024
Language: Английский
Citations
20
Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 208, P. 123653 - 123653
Published: Aug. 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.
Language: Английский
Citations
18
Advances in finance, accounting, and economics book series, Journal Year: 2025, Volume and Issue: unknown, P. 79 - 96
Published: Jan. 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.
Language: Английский
Citations
8
International Journal of Production Economics, Journal Year: 2025, Volume and Issue: unknown, P. 109519 - 109519
Published: Jan. 1, 2025
Language: Английский
Citations
5
International Review of Economics & Finance, Journal Year: 2025, Volume and Issue: unknown, P. 103923 - 103923
Published: Jan. 1, 2025
Language: Английский
Citations
5
Sustainable Technology and Entrepreneurship, Journal Year: 2025, Volume and Issue: unknown, P. 100098 - 100098
Published: Jan. 1, 2025
Language: Английский
Citations
2