Digital technology and business model innovation: A systematic literature review and future research agenda

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 188, P. 122307 - 122307

Published: Jan. 10, 2023

Language: Английский

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Investigating the Influence of Artificial Intelligence on Business Value in the Digital Era of Strategy: A Literature Review

Information, Journal Year: 2023, Volume and Issue: 14(2), P. 85 - 85

Published: Feb. 2, 2023

For organizations, the development of new business models and competitive advantages through integration artificial intelligence (AI) in IT strategies holds considerable promise. The majority businesses are finding it difficult to take advantage opportunities for value creation while other pioneers successfully utilizing AI. On basis research methodology Webster Watson (2020), 139 peer-reviewed articles were discussed. According literature, performance advantages, success criteria, difficulties adopting AI have been emphasized prior research. results this review revealed open issues topics that call further research/examination order develop capabilities integrate them into business/IT enhance various streams. Organizations will only succeed digital transformation alignment present era by precisely implementing these new, cutting-edge technologies. Despite revolutionary potential may promote, resource orchestration, along with governance dynamic environment, is still complex enough early stages regarding strategic implementation which issue aims address and, as a result, assist future organizations effectively outcomes.

Language: Английский

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Types of innovation and artificial intelligence: A systematic quantitative literature review and research agenda

Journal of Business Research, Journal Year: 2022, Volume and Issue: 155, P. 113364 - 113364

Published: Nov. 17, 2022

This study provides a systematic overview of innovation research strands revolving around AI. By adopting Systematic Quantitative Literature Review (SQLR) approach, we retrieved articles published in academic journals, and analysed them using bibliometric techniques such as keyword co-occurrences bibliographic coupling. The findings allow us to offer an up-to-date outline existing literature that are embedded into interpretative framework allowing disentangle the key antecedents consequences AI context innovation. Among antecedents, identify technological, social, economic reasons leading firms embrace innovate. In addition detecting disciplinary foci, also firms' product innovation, process business model social deployment. Drawing on from this study, directions for further investigation relation different types

Language: Английский

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Artificial intelligence and corporate innovation: A review and research agenda

Technological Forecasting and Social Change, Journal Year: 2022, Volume and Issue: 188, P. 122264 - 122264

Published: Dec. 26, 2022

Language: Английский

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Industry 4.0 and supply chain performance: A systematic literature review of the benefits, challenges, and critical success factors of 11 core technologies

Industrial Marketing Management, Journal Year: 2022, Volume and Issue: 105, P. 268 - 293

Published: June 27, 2022

The exponentially growing literature on Industry 4.0 technologies and their implications for supply chains exhibits valuable insights alongside considerable fragmentation. While prior systematic reviews (SLRs) started to consolidate the literature, an SLR that simultaneously (a) covers several core of 4.0, (b) synthesizes positive negative chain performance in a broad sense, (c) accounts critical success factors foster or impede these is still missing. We contribute establishing cumulative body knowledge by conducting such SLR. synthesize 221 articles published 11 between 2005 2021. Rather than aggregate implications, our presents benefits, challenges, each technology vis-à-vis individually. integrate findings into framework derive promising avenues future research. Specifically, we call more research challenges technologies; hitherto underexplored 4.0; interaction multiple (are they complements substitutes?); as well (d) further consolidation interdisciplinary dissemination efforts.

Language: Английский

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AI-powered marketing: What, where, and how?

International Journal of Information Management, Journal Year: 2024, Volume and Issue: 77, P. 102783 - 102783

Published: April 9, 2024

Artificial intelligence (AI) has become a disruptive force that revolutionized industries and changed business practices. The integration of AI brought numerous benefits to various functional areas within organizations, with marketing experiencing significant positive impact. technologies have empowered marketers advanced tools insights, fostering unparalleled efficiency, personalization, strategic campaign decision-making. Despite these advancements, the scholarly focus on AI's transformative effects is limited. This research investigates how currently applied across different functions its potential future evolution impact processes. In rapidly evolving world, businesses must navigate complexity, innovate, sustain competitive advantages. Grounding our analysis in previous literature, we adopt dynamic capability theoretical lens, emphasizing organizations adapt prosper changing environments. study highlights six key where promises effects, aiming illuminate path for innovations strategies, including AI-driven customer measuring performance, automated ethical implications, enhancing experiences, growth opportunities Implementation. While recognizing as force, also highlight limitations, threats privacy security, well ramifications biases, misuse, dissemination misinformation. Finally, article delineates gaps formulates questions aimed at advancing knowledge marketing.

Language: Английский

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Artificial intelligence enabling circular business model innovation in digital servitization: Conceptualizing dynamic capabilities, AI capacities, business models and effects

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 197, P. 122903 - 122903

Published: Oct. 13, 2023

This study explores the potential of AI to enable circular business model innovation (CBMI) for industrial manufacturers and corresponding capacities dynamic capabilities required their commercialization. Employing an analysis six leading B2B firms engaged in digital servitization, we conceptualize perceptive, predictive, prescriptive AI, which enhance resource efficiency by automating augmenting data-driven decision making. We further identify two innovative classes AI-enabled CBMs – augmentation (e.g., optimization solutions) automation autonomous models main value drivers. Finally, our research reveals novel underpinning discovery, realization, make economic sustainable values come life collaborating with customers ecosystem partners. represents important step understanding how can drive circularity servitization. Overall, contributes practice academic literature on models, servitization highlighting empower underlying processes this transformation.

Language: Английский

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The impact of artificial intelligence capabilities on servitization: The moderating role of absorptive capacity-A dynamic capabilities perspective

Journal of Business Research, Journal Year: 2022, Volume and Issue: 157, P. 113609 - 113609

Published: Dec. 28, 2022

Language: Английский

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Technology readiness and the organizational journey towards AI adoption: An empirical study

International Journal of Information Management, Journal Year: 2022, Volume and Issue: 68, P. 102588 - 102588

Published: Sept. 26, 2022

Artificial Intelligence (AI) is viewed as having potential for significant economic and social impact. However, its history of boom bust cycles can make adopters wary. A cross-sectional, qualitative study was carried out, with a purposive sample AI experts from research, development business functions, to gain deeper understanding the adoption process. Technology Readiness Levels were used benchmark against which could align their experiences. model proposed embeds an extended version People, Processes, lens, incorporating Data. The suggests that people, process data readiness are required in addition technology achieve long term operational success AI. findings further indicate innovative organizations should build bridges between technical functions.

Language: Английский

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State-of-the-Art of Artificial Intelligence and Big Data Analytics Reviews in Five Different Domains: A Bibliometric Summary

Sustainability, Journal Year: 2023, Volume and Issue: 15(5), P. 4026 - 4026

Published: Feb. 22, 2023

Academicians and practitioners have recently begun to accord Artificial Intelligence (AI) Big Data Analytics (BDA) significant consideration when exploring emerging research trends in different fields. The technique of bibliometric review has been extensively applied the AI BDA literature map out existing scholarships. We summarise 711 articles on & its sub-sets published multiple fields identify academic disciplines with contributions. pulled papers from Scopus Q1 Q2 journal database between 2012 2022. returned documents journals 59 countries, averaging 17.9 citations per year. Multiple software Database Analysers were used investigate data illustrate most active scientific indicators such as authors co-authors, citations, co-citations, institutions, sources, subject areas. USA was influential nation (101 documents; 5405 citations), while China productive (204 2371 citations). institution Symbiosis International University, India (32 4.5%). results reveal a substantial increase reviews five clusters disciplines: (a) Business Management, (b) Engineering Construction, (c) Healthcare, (d) Sustainable Operations I4.0, (e) Tourism Hospitality Studies, majority which applications use cases address real-world problems field. keyword co-occurrence past analyses indicates that BDA, AI, Machine Learning, Deep NLP, Fuzzy Logic, Expert Systems will remain conspicuous areas these diverse domain Therefore, this paper summarises Business, Engineering, Operations, serves starting point for novice experienced researchers interested topics.

Language: Английский

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