{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T13:32:20Z","timestamp":1777901540732,"version":"3.51.4"},"reference-count":87,"publisher":"Vilnius University Press","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"abstract":"<jats:p>Artificial Intelligence (AI) in the price management process is being applied in business practice and research to a variety of pricing use cases that can be augmented or automated, providing opportunities as a forecasting tool or for price optimization. However, the complexity of evaluating the technology to prioritize implementation is challenging, especially for small and medium enterprises (SMEs), and guidance is sparse. Which are the relevant stakeholder criteria for a sustainable implementation of AI for pricing purpose? Which type of AI supported price functions meet these criteria best? Theoretically motivated by the hedonic price theory and advances in AI research, we identify nine criteria and eight AI supported price functions (AISPF). A multiple attribute decision model (MADM) using the fuzzy Best Worst Method (BWM) and fuzzy combined compromise solution (CoCoSo) is set up and evaluated by pricing experts from Germany and Spain. To validate our results and model stability, we carried out several random sensitivity analyses based on the weight of criteria exchange. The results suggest accuracy and reliability as the most prominent attribute to evaluate AISPF, while ethical and sustainable criteria are sorted as least important. The AISPF which best meet the criteria are financial prices followed by procurement prices.<\/jats:p>","DOI":"10.15388\/24-infor559","type":"journal-article","created":{"date-parts":[[2024,5,22]],"date-time":"2024-05-22T06:22:02Z","timestamp":1716358922000},"page":"529-556","source":"Crossref","is-referenced-by-count":7,"title":["Pricing Powered by Artificial Intelligence: An Assessment Model for the Sustainable Implementation of AI Supported Price Functions"],"prefix":"10.15388","author":[{"given":"Anett","family":"Erdmann","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5526-8950","authenticated-orcid":false,"given":"Morteza","family":"Yazdani","sequence":"additional","affiliation":[]},{"given":"Jose Manuel","family":"Mas Iglesias","sequence":"additional","affiliation":[]},{"given":"Cristina","family":"Marin Palacios","sequence":"additional","affiliation":[]}],"member":"6097","published-online":{"date-parts":[[2024,5,22]]},"reference":[{"key":"2024082910112634922_j_infor559_ref_001","year":"2024"},{"key":"2024082910112634922_j_infor559_ref_002","volume-title":"Power and Prediction: The Disruptive Economics of Artificial Intelligence","year":"2022"},{"key":"2024082910112634922_j_infor559_ref_003","doi-asserted-by":"publisher","year":"2023","DOI":"10.31449\/inf.v47i5.4671"},{"key":"2024082910112634922_j_infor559_ref_004","doi-asserted-by":"publisher","year":"2022","DOI":"10.1007\/s10479-022-04908-9"},{"issue":"5","key":"2024082910112634922_j_infor559_ref_005","doi-asserted-by":"publisher","first-page":"33","DOI":"10.48550\/arXiv.1710.05944","article-title":"Neuro fuzzy modelling for prediction of consumer price index","volume":"8","year":"2017","journal-title":"Journal of Artificial Intelligence Research"},{"issue":"19","key":"2024082910112634922_j_infor559_ref_006","doi-asserted-by":"publisher","first-page":"6688","DOI":"10.3390\/s21196688","article-title":"Building an IoT platform based on service containerisation","volume":"21","year":"2021","journal-title":"Sensors"},{"issue":"15\u201316","key":"2024082910112634922_j_infor559_ref_007","first-page":"6050","article-title":"Leanness assessment and optimization by fuzzy cognitive map and multivariate analysis","volume":"42","year":"2015","journal-title":"Expert Systems with Applications"},{"key":"2024082910112634922_j_infor559_ref_008","doi-asserted-by":"publisher","DOI":"10.1016\/j.tele.2020.101529","article-title":"Identifying relevant segments of AI applications adopters\u2013expanding the UTAUT2\u2019s variables","volume":"58","year":"2021","journal-title":"Telematics and Informatics"},{"issue":"9","key":"2024082910112634922_j_infor559_ref_009","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.4986","article-title":"Research on exchange rate pass-through effect based on artificial intelligence approach","volume":"31","year":"2019","journal-title":"Concurrency and Computation: Practice and Experience"},{"key":"2024082910112634922_j_infor559_ref_010","doi-asserted-by":"publisher","DOI":"10.1016\/j.frl.2022.103095","article-title":"Do the green bonds overreact to the COVID-19 pandemic?","volume":"49","year":"2022","journal-title":"Finance Research Letters"},{"issue":"4","key":"2024082910112634922_j_infor559_ref_011","doi-asserted-by":"publisher","first-page":"112","DOI":"10.4067\/S0718-27242012000400009","article-title":"Advanced manufacturing technology adoption in SMEs: an integrative model","volume":"7","year":"2012","journal-title":"Journal of Technology Management & Innovation"},{"key":"2024082910112634922_j_infor559_ref_012","doi-asserted-by":"publisher","year":"2022","DOI":"10.3389\/fpsyg.2022.993935"},{"key":"2024082910112634922_j_infor559_ref_013","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-55196-4_2","volume-title":"Privacy Technologies and Policy, APF 2020","volume":"12121","year":"2020"},{"issue":"9","key":"2024082910112634922_j_infor559_ref_014","doi-asserted-by":"crossref","first-page":"4972","DOI":"10.3390\/su14094972","article-title":"Toward sustainable urban mobility by using fuzzy-FUCOM and fuzzy-CoCoSo methods: the case of the SUMP podgorica","volume":"14","year":"2022","journal-title":"Sustainability"},{"key":"2024082910112634922_j_infor559_ref_015","article-title":"So what if ChatGPT wrote it? 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