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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The GenAI is out of the bottle: generative artificial intelligence from a business model innovation perspective

Review of Managerial Science, Journal Year: 2023, Volume and Issue: 18(4), P. 1189 - 1220

Published: Sept. 13, 2023

Abstract The introduction of ChatGPT in November 2022 by OpenAI has stimulated substantial discourse on the implementation artificial intelligence (AI) various domains such as academia, business, and society at large. Although AI been utilized numerous areas for several years, emergence generative (GAI) applications ChatGPT, Jasper, or DALL-E are considered a breakthrough acceleration technology due to their ease use, intuitive interface, performance. With GAI, it is possible create variety content texts, images, audio, code, even videos. This creates implications businesses requiring deeper examination, including an influence business model innovation (BMI). Therefore, this study provides BMI perspective GAI with two primary contributions: (1) development six comprehensive propositions outlining impact businesses, (2) discussion three industry examples, specifically software engineering, healthcare, financial services. employs qualitative analysis using scoping review methodology, drawing from wide-ranging sample 513 data points. These include academic publications, company reports, public information press releases, news articles, interviews, podcasts. thus contributes growing management research concerning AI's potential offers practical insights into how utilize develop new improve existing models.

Language: Английский

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The role of digitalization in business and management: a systematic literature review

Review of Managerial Science, Journal Year: 2023, Volume and Issue: 18(2), P. 449 - 491

Published: March 28, 2023

Abstract Digitalization is a powerful engine for economic growth in the world. In 2018, digitally transformed firms represented 13.5 billion US dollars of global GDP and, towards end 2023, they are expected to represent 53.3 dollars, over half general nominal (Statista, Nominal driven by and other enterprises worldwide 2018–2023. https://www.statista.com/statistics/1134766/nominal-gdp-driven-by-digitally-transformed-enterprises/ , 2022). The main objective this study provide information (highlighting principal research topics agendas) from literature on state-of-the-art digitalization within through Systematic Literature Review (SLR). all, 119 review articles most mature functional areas firm analyzed: management, marketing, finance accounting, published WOS period 2018-April 2022. study, key relevant tendencies identified firm, which impact digital technologies analysis consumer behavior; green innovation organizations; blockchain technology applied financial services. contributions work as follows: (1) complete up-to-date perspective, summarizing current state knowledge an integrated framework; (2) reduce complexity offering structure clarity; (3) offer links between established points view finance, accounting. novelty paper centered joint digitalization, transformation, technologies, taking into account firm.

Language: Английский

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Digital innovation in entrepreneurial firms: a systematic literature review

Review of Managerial Science, Journal Year: 2023, Volume and Issue: 18(2), P. 315 - 362

Published: March 21, 2023

Abstract Entrepreneurial firms are central actors in the process of generation and diffusion digital innovation which, on other hand, provides a wide range opportunities for entrepreneurs. Although existing research has produced several contributions both topics, knowledge generated field appears fragmented findings sometimes ambiguous. The reason this fragmentation can be traced back to lack reference frameworks that clarify most used concepts, thus providing shared language. This study aims consolidate state-of-art scholarly published over past 20 years at intersection entrepreneurship fields study. To aim, we carried out systematic literature review by analyzing set 185 papers order find what relevant topics investigated domain. activity was performed using MySLR software. Besides descriptive picture scientific activity, map date simultaneously addresses two themes, is provided. In particular, characterized six domain: start-ups’ collaboration networks, business-model innovation, platforms, ventures, entrepreneur’s profile, digital-innovation ecosystems. Based these results article proposes three main directions future research: multi-level analysis Digital Innovation Ventures; interdisciplinary approaches; development specific theories igital Innovation. Overall, value provide framework phenomenon with entrepreneurial as model management researchers.

Language: Английский

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How does artificial intelligence impact human resources performance. evidence from a healthcare institution in the United Arab Emirates

Journal of Innovation & Knowledge, Journal Year: 2023, Volume and Issue: 8(2), P. 100340 - 100340

Published: Feb. 9, 2023

This study aims to explore the impact of implementation artificial intelligence (AI) in healthcare sector on overall human resource (HR) practices and organizational performance. We seek highlight added value that adopting AI techniques management (HRM) offers entire ecosystem financial terms. To tackle research question, we conducted an explorative qualitative analysis investigating a Lebanese international center Dubai. obtain data triangulation, used both primary secondary as source evidence. The interesting insights into implementing tools HRM across what extent this will contribute useful tool gather better Despite unique characteristics case industry country settings, is not without limitations. It difficult extend results population. provides several theoretical, managerial, policy implications give concrete how affect processes company

Language: Английский

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A matter of motivation: the impact of enterprise digital transformation on green innovation

Review of Managerial Science, Journal Year: 2023, Volume and Issue: 18(5), P. 1489 - 1518

Published: May 27, 2023

Language: Английский

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Open innovation: status quo and quo vadis - an analysis of a research field

Review of Managerial Science, Journal Year: 2023, Volume and Issue: 18(2), P. 633 - 683

Published: March 25, 2023

Abstract Open innovation is now a widely used concept in academia, industry, and policy-making. According to the recent report “The Innovation Barometer”, released by Economist, 90% of organizations have either adopted or are planning implement key open practices opening up their organizational boundaries collaborative next three years (The Economist Group 2022). However, social economic changes imposed emerging processes transition towards more digital sustainable society raise questions on how field studies evolving meet new, needs. By combining bibliometric techniques content analysis, this study illustrates research community has evolved last 12 years. More specifically, provides descriptive analysis literature innovation, defines its knowledge structure, representative picture theoretical landscape. Our shows that attempts consolidate established topics approaches go hand with emergence new conversations about unexplored dimensions innovation. We conclude article outlining some avenues for future conceptualize, theorize, (methods analytical techniques)

Language: Английский

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What Determines AI Adoption in Companies? Mixed-Method Evidence

Journal of Computer Information Systems, Journal Year: 2023, Volume and Issue: 64(3), P. 370 - 387

Published: June 20, 2023

Artificial Intelligence (AI) is among the emerging technologies that offer potential competitive advantages, but there insufficient evidence regarding its use in B2B SMEs India. This study uses empirical methods to investigate factors lead successful adoption of AI practices by India, as well outcomes this adoption. A conceptual model formulated using technology-organization-environment (TOE) framework, which examines how enablers and readiness influence advantage with due acceptance practices. To test theoretical used a mixed-method approach; survey data was gathered from 866 employees (managers) SMEs. The findings suggested all except perceived benefits role clarity significantly impacted readiness. Further, ethics, moderator study, found be significant between benefits, clarity, trust, advantage.

Language: Английский

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Artificial intelligence in innovation management: A review of innovation capabilities and a taxonomy of AI applications

Journal of Product Innovation Management, Journal Year: 2023, Volume and Issue: unknown

Published: Sept. 26, 2023

Abstract Artificial intelligence (AI) is a promising generation of digital technologies. Recent applications and research suggest that AI can not only influence but also accelerate innovation in organizations. However, as the field rapidly growing, common understanding underlying theoretical capabilities has become increasingly vague fraught with ambiguity. In view centrality making happen, we bring together these scattered perspectives systematic multidisciplinary literature review. The aim this review to summarize role influencing provide taxonomy based on empirical studies. Drawing technological–organizational–environmental (TOE) framework, our condenses findings 62 results study are twofold. First, identify dichotomous triggered by adoption: enabling enhancing . those identifies enablers adoption, underscoring competencies routines needed implement AI. denote adoption transforming or creating Second, propose reflects practical relation three reasons: replace , reinforce reveal Our makes main contributions. either required for generated adoption. applications. Third, use TOE framework track trends contributions recent articles agenda.

Language: Английский

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The role of artificial intelligence in the procurement process: State of the art and research agenda

Journal of Purchasing and Supply Management, Journal Year: 2023, Volume and Issue: 29(2), P. 100823 - 100823

Published: March 1, 2023

Artificial intelligence (AI) is widely adopted in many areas, but it still its infancy procurement, despite potential. To map the state of art both research and practice identify future directions, this paper presents a mixed methodology exploratory study role AI procurement process. The combines systematic literature review, mapping offerings providers AI-based platforms focus group with managers. Results functionalities solutions throughout process, describe benefits challenges to their adoption directions.

Language: Английский

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