Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

International Journal of Information Management, Journal Year: 2019, Volume and Issue: 57, P. 101994 - 101994

Published: Aug. 27, 2019

Language: Английский

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Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda

International Journal of Information Management, Journal Year: 2019, Volume and Issue: 48, P. 63 - 71

Published: Feb. 9, 2019

Language: Английский

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Artificial intelligence in supply chain management: A systematic literature review

Journal of Business Research, Journal Year: 2020, Volume and Issue: 122, P. 502 - 517

Published: Sept. 24, 2020

This paper seeks to identify the contributions of artificial intelligence (AI) supply chain management (SCM) through a systematic review existing literature. To address current scientific gap AI in SCM, this study aimed determine and potential techniques that can enhance both practice SCM. Gaps literature need be addressed research were also identified. More specifically, following four aspects covered: (1) most prevalent SCM; (2) for employment (3) AI-improved SCM subfields; (4) subfields have high enhanced by AI. A specific set inclusion exclusion criteria are used examine papers from fields: logistics, marketing, production. provides insights analysis synthesis.

Language: Английский

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Artificial intelligence in information systems research: A systematic literature review and research agenda

International Journal of Information Management, Journal Year: 2021, Volume and Issue: 60, P. 102383 - 102383

Published: July 8, 2021

AI has received increased attention from the information systems (IS) research community in recent years. There is, however, a growing concern that on could experience lack of cumulative building knowledge, which overshadowed IS previously. This study addresses this concern, by conducting systematic literature review between 2005 and 2020. The search strategy resulted 1877 studies, 98 were identified as primary studies synthesise key themes are pertinent to is presented. In doing so, makes important contributions, namely (i) an identification current reported business value contributions AI, (ii) practical implications use (iii) opportunities for future form agenda.

Language: Английский

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Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making

Technovation, Journal Year: 2021, Volume and Issue: 106, P. 102312 - 102312

Published: June 8, 2021

While using artificial intelligence (AI) could improve organizational decision-making, it also creates challenges associated with the "dark side" of AI. However, there is a lack research on managers' attitudes and intentions to use AI for decision making. To address this gap, we develop an integrated acceptance-avoidance model (IAAAM) consider both positive negative factors that collectively influence behavioral towards The tested through large-scale questionnaire survey 269 UK business managers. Our findings suggest IAAAM provides more comprehensive explaining predicting contributes conceptually empirically emerging literature decision-making. Further, regarding practical implications highlight importance developing favorable facilitating conditions, having effective mechanism alleviate personal concerns, balanced consideration benefits dark side

Language: Английский

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Artificial intelligence in operations management and supply chain management: an exploratory case study

Production Planning & Control, Journal Year: 2021, Volume and Issue: 33(16), P. 1573 - 1590

Published: April 1, 2021

With the development and evolution of information technology, competition has become more intensive on a global scale. Many companies have forecast that future operation supply chain management (SCM) may change dramatically, from planning, scheduling, optimisation, to transportation, with presence artificial intelligence (AI). People will be interested in machine learning, AI, other intelligent technologies, terms SCM. Within this context, particular research study provides an overview concept AI It then focuses timely critical analysis AI-driven applications. In exploratory research, emerging AI-based business models different case are analysed. Their relevant solutions related values also evaluated. As result, identifies several areas value creation for application chain. proposes approach designing

Language: Английский

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Examining the impact of artificial intelligence on hotel employees through job insecurity perspectives

International Journal of Hospitality Management, Journal Year: 2020, Volume and Issue: 95, P. 102763 - 102763

Published: Nov. 28, 2020

Language: Английский

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Artificial intelligence in E-commerce fulfillment: A case study of resource orchestration at Alibaba’s Smart Warehouse

International Journal of Information Management, Journal Year: 2021, Volume and Issue: 57, P. 102304 - 102304

Published: Jan. 11, 2021

Language: Английский

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Applications of smart technologies in logistics and transport: A review

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2021, Volume and Issue: 153, P. 102455 - 102455

Published: Aug. 27, 2021

Language: Английский

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Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges

Journal of Business Research, Journal Year: 2020, Volume and Issue: 123, P. 588 - 603

Published: Oct. 20, 2020

The current expansion of theory and research on artificial intelligence in management organization studies has revitalized the decision-making organizations. In particular, recent advances deep learning (DL) algorithms promise benefits for within organizations, such as assisting employees with information processing, thereby augment their analytical capabilities perhaps help transition to more creative work. We conceptualize process organizations augmented DL algorithm outcomes (such predictions or robust patterns from unstructured data) learning–augmented (DLADM). contribute understanding application by (a) providing an accessible tutorial (b) illustrating DLADM two case drawing image recognition sentiment analysis tasks performed datasets Zalando, a European e-commerce firm, Rotten Tomatoes, review aggregation website movies, respectively. Finally, promises challenges well recommendations managers attending these are also discussed.

Language: Английский

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