{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T00:56:00Z","timestamp":1781916960557,"version":"3.54.5"},"reference-count":109,"publisher":"Informa UK Limited","issue":"2","content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Journal of Management Information Systems"],"published-print":{"date-parts":[[2024,4,2]]},"DOI":"10.1080\/07421222.2024.2340827","type":"journal-article","created":{"date-parts":[[2024,6,24]],"date-time":"2024-06-24T14:01:54Z","timestamp":1719237714000},"page":"453-486","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":16,"title":["Knowledge-Aware Learning Framework Based on Schema Theory to Complement Large Learning Models"],"prefix":"10.1080","volume":"41","author":[{"given":"Long","family":"Xia","sequence":"first","affiliation":[{"name":"Department of Management & Entrepreneurship, Love School of Business, Elon University, Elon, North Carolina, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenqi","family":"Shen","sequence":"additional","affiliation":[{"name":"Department of Business Information Technology, Pamplin College of Business, Virginia Tech, Blacksburg, Virginia, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weiguo","family":"Fan","sequence":"additional","affiliation":[{"name":"Department of Business Analytics, Tippie College of Business, University of Iowa, Iowa City, Iowa, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"G. Alan","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Business Information Technology, Pamplin College of Business, Virginia Tech, Blacksburg, Virginia, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"301","published-online":{"date-parts":[[2024,6,24]]},"reference":[{"key":"e_1_3_4_2_1","doi-asserted-by":"publisher","DOI":"10.2307\/25148873"},{"key":"e_1_3_4_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0306-4573(02)00021-3"},{"key":"e_1_3_4_4_1","doi-asserted-by":"publisher","DOI":"10.1037\/0033-2909.93.2.203"},{"key":"e_1_3_4_5_1","doi-asserted-by":"publisher","DOI":"10.3102\/00346543058004375"},{"key":"e_1_3_4_6_1","doi-asserted-by":"publisher","DOI":"10.4304\/tpls.3.1.130-134"},{"key":"e_1_3_4_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4684-2535-2_8"},{"key":"e_1_3_4_8_1","doi-asserted-by":"publisher","DOI":"10.4324\/9781315271644-33"},{"key":"e_1_3_4_9_1","first-page":"255","article-title":"A schema-theoretic view of basic processes in reading comprehension","volume":"1","author":"Anderson R.C.","year":"1984","unstructured":"Anderson, R.C.; and Pearson, P.D. A schema-theoretic view of basic processes in reading comprehension. Handbook of Reading Research, 1 (1984), 255\u2013291.","journal-title":"Handbook of Reading Research"},{"key":"e_1_3_4_10_1","doi-asserted-by":"publisher","DOI":"10.3102\/00028312015003433"},{"key":"e_1_3_4_11_1","first-page":"174","volume-title":"Global Conference on Artificial Intelligence (GCAI)","author":"Apeldoorn D.","year":"2016","unstructured":"Apeldoorn, D.; and Kern-Isberner, G. When should learning agents switch to explicit knowledge? In C. Benzm\u00fcller, G. Sutcliffe, and R. Rojas (eds.), Global Conference on Artificial Intelligence (GCAI), Berlin, 2016, pp. 174\u2013186."},{"key":"e_1_3_4_12_1","first-page":"1427","article-title":"Schema theory","volume":"2","author":"Arbib M.A.","year":"1992","unstructured":"Arbib, M.A. Schema theory. The Encyclopedia of Artificial Intelligence, 2 (1992), 1427\u20131443.","journal-title":"The Encyclopedia of Artificial Intelligence"},{"key":"e_1_3_4_13_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-2087"},{"key":"e_1_3_4_14_1","doi-asserted-by":"publisher","DOI":"10.1207\/s15326985ep3102_5"},{"key":"e_1_3_4_15_1","first-page":"2787","volume-title":"Advances in Neural Information Processing Systems. Lake Tahoe","author":"Bordes A.","year":"2013","unstructured":"Bordes, A.; Usunier, N.; Garcia-Duran, A.; Weston, J.; and Yakhnenko, O. Translating embeddings for modeling multi-relational data. In C.J. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K.Q. Weinberger (eds.), Advances in Neural Information Processing Systems. Lake Tahoe. 2013, pp. 2787\u20132795."},{"key":"e_1_3_4_16_1","first-page":"3","volume-title":"Handbook of Mixed Membership Models and Their Applications","author":"Boyd-Graber J.","year":"2014","unstructured":"Boyd-Graber, J.; Mimno, D.; and Newman, D. Care and feeding of topic models: Problems, diagnostics, and improvements. In E.M. Airoldi, D. Blei, E.A. Erosheva, and S.E. Fienberg (eds.), Handbook of Mixed Membership Models and Their Applications, New York: Chapman and Hall\/CRC, 2014, pp. 3\u201341."},{"key":"e_1_3_4_17_1","first-page":"1877","volume-title":"Advances in Neural Information Processing Systems","author":"Brown T.","year":"2020","unstructured":"Brown, T.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J.D.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; and Askell, A. Language models are few-shot learners. In H. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan, and H. Lin (eds.), Advances in Neural Information Processing Systems. Virtual, 2020, pp. 1877\u20131901."},{"key":"e_1_3_4_18_1","doi-asserted-by":"publisher","DOI":"10.2307\/3586613"},{"key":"e_1_3_4_19_1","volume-title":"Neural natural language inference models enhanced with external knowledge","author":"Chen Q.","year":"2017","unstructured":"Chen, Q.; Zhu, X.; Ling, Z.-H.; Inkpen, D.; and Wei, S. Neural natural language inference models enhanced with external knowledge. arXiv preprint arXiv:1711.04289 (2017)."},{"key":"e_1_3_4_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4684-1083-9_20"},{"key":"e_1_3_4_21_1","doi-asserted-by":"publisher","DOI":"10.1207\/s15326985ep3102_2"},{"key":"e_1_3_4_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12599-019-00595-2"},{"key":"e_1_3_4_23_1","volume-title":"Pre-training of deep bidirectional transformers for language understanding","author":"Devlin J.","year":"2018","unstructured":"Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_4_24_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0140525X99002186"},{"key":"e_1_3_4_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531997"},{"key":"e_1_3_4_26_1","doi-asserted-by":"publisher","DOI":"10.1207\/s15327043hup1201_2"},{"key":"e_1_3_4_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2018.04.005"},{"key":"e_1_3_4_28_1","first-page":"26562","volume-title":"Proceedings of the National Academy of Sciences","volume":"117","author":"Firestone C.","year":"2020","unstructured":"Firestone, C. Performance vs. competence in human\u2013machine comparisons. Proceedings of the National Academy of Sciences, 117, 43 (2020), 26562\u201326571."},{"key":"e_1_3_4_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13347-023-00621-y"},{"issue":"2","key":"e_1_3_4_30_1","first-page":"83","article-title":"Companion cognitive systems: A step toward Human-Level AI","volume":"27","author":"Forbus K.D.","year":"2006","unstructured":"Forbus, K.D.; and Hinrichs, T.R. Companion cognitive systems: A step toward Human-Level AI. AI Magazine, 27, 2 (2006), 83\u201383.","journal-title":"AI Magazine"},{"key":"e_1_3_4_31_1","doi-asserted-by":"publisher","DOI":"10.7763\/IJIET.2011.V1.24"},{"key":"e_1_3_4_32_1","doi-asserted-by":"publisher","DOI":"10.25300\/MISQ\/2013\/37.2.01"},{"key":"e_1_3_4_33_1","doi-asserted-by":"publisher","DOI":"10.1108\/JPBM-02-2015-0818"},{"key":"e_1_3_4_34_1","volume-title":"Deberta: Decoding-enhanced bert with disentangled attention","author":"He P.","year":"2020","unstructured":"He, P.; Liu, X.; Gao, J.; and Chen, W. Deberta: Decoding-enhanced bert with disentangled attention. arXiv preprintarXiv:2006.03654 (2020)."},{"key":"e_1_3_4_35_1","unstructured":"Hern A. \u2018What should the limits be?\u2019 The father of ChatGPT on whether AI will save humanity \u2013 or destroy it. 2023. https:\/\/www.theguardian.com\/technology\/2023\/jun\/07\/what-should-the-limits-be-the-father-of-chatgpt-on-whether-ai-will-save-humanity-or-destroy-it (accessed August 30 2023)."},{"key":"e_1_3_4_36_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-5653-8_2"},{"key":"e_1_3_4_37_1","doi-asserted-by":"publisher","DOI":"10.2307\/25148625"},{"key":"e_1_3_4_38_1","first-page":"1","volume-title":"IEEE Transactions on Knowledge and Data Engineering","author":"Hu L.","year":"2023","unstructured":"Hu, L.; Liu, Z.; Zhao, Z.; Hou, L.; Nie, L.; and Li, J. A survey of knowledge enhanced pre-trained language models. IEEE Transactions on Knowledge and Data Engineering, (2023), 1\u201319."},{"key":"e_1_3_4_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3070843"},{"key":"e_1_3_4_40_1","first-page":"494","volume-title":"IEEE Transactions on Neural Networks and Learning Systems","author":"Ji S.","year":"2021","unstructured":"Ji, S.; Pan, S.; Cambria, E.; Marttinen, P.; and Philip, S.Y. A survey on knowledge graphs: Representation, acquisition, and applications. IEEE Transactions on Neural Networks and Learning Systems, (2021), 494\u2013514."},{"key":"e_1_3_4_41_1","doi-asserted-by":"publisher","DOI":"10.1287\/isre.2020.0982"},{"key":"e_1_3_4_42_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2022.102479"},{"key":"e_1_3_4_43_1","doi-asserted-by":"publisher","DOI":"10.1080\/07421222.2023.2172778"},{"key":"e_1_3_4_44_1","doi-asserted-by":"publisher","DOI":"10.4324\/9780203052563"},{"key":"e_1_3_4_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00851"},{"key":"e_1_3_4_46_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10796-018-9838-7"},{"key":"e_1_3_4_47_1","volume-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf T.N.","year":"2016","unstructured":"Kipf, T.N.; and Welling, M. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016)."},{"key":"e_1_3_4_48_1","unstructured":"Knight W. OpenAI\u2019s CEO Says the Age of Giant AI Models Is Already Over. 2023. https:\/\/www.wired.com\/story\/openai-ceo-sam-altman-the-age-of-giant-ai-models-is-already-over\/ (accessed August 30 2023)."},{"key":"e_1_3_4_49_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0140525X16001837"},{"key":"e_1_3_4_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/2483969.2483972"},{"key":"e_1_3_4_51_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"e_1_3_4_52_1","doi-asserted-by":"publisher","DOI":"10.25300\/MISQ\/2020\/15323"},{"issue":"1","key":"e_1_3_4_53_1","first-page":"29","article-title":"A survey of data-driven and knowledge-aware explainable ai","volume":"34","author":"Li X.-H.","year":"2020","unstructured":"Li, X.-H.; Cao, C.C.; Shi, Y.; Bai, W.; Gao, H.; Qiu, L.; Wang, C.; Gao, Y.; Zhang, S.; and Xue, X. A survey of data-driven and knowledge-aware explainable ai. IEEE Transactions on Knowledge and Data Engineering, 34, 1 (2020), 29\u201349.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"e_1_3_4_54_1","first-page":"3961","volume-title":"IEEE Transactions on Neural Networks and Learning Systems","author":"Li Z.","year":"2021","unstructured":"Li, Z.; Liu, H.; Zhang, Z.; Liu, T.; and Xiong, N.N. Learning knowledge graph embedding with heterogeneous relation attention networks. IEEE Transactions on Neural Networks and Learning Systems (2021), 3961\u20133973."},{"key":"e_1_3_4_55_1","doi-asserted-by":"publisher","DOI":"10.4324\/9781315460536"},{"key":"e_1_3_4_56_1","doi-asserted-by":"publisher","DOI":"10.1080\/07421222.2015.1095013"},{"key":"e_1_3_4_57_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1282"},{"key":"e_1_3_4_58_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05057-5"},{"key":"e_1_3_4_59_1","doi-asserted-by":"publisher","DOI":"10.17507\/jltr.0606.24"},{"key":"e_1_3_4_60_1","article-title":"Transductive text classification by combining gcn and bert","author":"Lin Y.","year":"2021","unstructured":"Lin, Y.; Meng, Y.; Sun, X.; Han, Q.; Kuang, K.; Li, J.; and Wu, F. Bertgcn: Transductive text classification by combining gcn and bert. arXiv preprint arXiv:2105.05727 (2021).","journal-title":"arXiv preprint arXiv:2105.05727"},{"key":"e_1_3_4_61_1","volume-title":"A robustly optimized bert pretraining approach","author":"Liu Y.","year":"2019","unstructured":"Liu, Y.; Ott, M.; Goyal, N.; Du, J.; Joshi, M.; Chen, D.; Levy, O.; Lewis, M.; Zettlemoyer, L.; and Stoyanov, V. Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692 (2019)."},{"key":"e_1_3_4_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511019"},{"key":"e_1_3_4_63_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01389"},{"key":"e_1_3_4_64_1","first-page":"155","volume-title":"Assessing schema knowledge","author":"Marshall S.P.","year":"2012","unstructured":"Marshall, S.P. Assessing schema knowledge. In N. Frederiksen, R.J. Mislevy, I.I. Bejar (eds.), Test Theory for a New Generation of Tests. New York, London: Routledge, 2012, pp. 155\u2013180."},{"key":"e_1_3_4_65_1","unstructured":"Meyer D. OpenAI\u2019s Sam Altman says giant A.I. models are over\u2014but going small won\u2019t appease regulators. 2023. https:\/\/finance.yahoo.com\/news\/openai-sam-altman-says-giant-164924270.html (accessed August 30 2023)."},{"key":"e_1_3_4_66_1","doi-asserted-by":"publisher","DOI":"10.1145\/3605943"},{"key":"e_1_3_4_67_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btz600"},{"key":"e_1_3_4_68_1","doi-asserted-by":"publisher","DOI":"10.1111\/0023-8333.00189"},{"key":"e_1_3_4_69_1","first-page":"11","volume-title":"Proceedings of the IEEE","volume":"104","author":"Nickel M.","year":"2015","unstructured":"Nickel, M.; Murphy, K.; Tresp, V.; and Gabrilovich, E. A review of relational machine learning for knowledge graphs. Proceedings of the IEEE, 104, 1 (2015), 11\u201333."},{"key":"e_1_3_4_70_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0147-1767(99)00019-X"},{"key":"e_1_3_4_71_1","doi-asserted-by":"publisher","DOI":"10.2753\/MIS0742-1222220308"},{"key":"e_1_3_4_72_1","doi-asserted-by":"publisher","DOI":"10.1080\/10447318.2022.2153320"},{"key":"e_1_3_4_73_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3365103"},{"key":"e_1_3_4_74_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"e_1_3_4_75_1","doi-asserted-by":"publisher","DOI":"10.1080\/07421222.2014.994672"},{"key":"e_1_3_4_76_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"e_1_3_4_77_1","unstructured":"Perrigo B. The A to Z of Artificial Intelligence. 2023. https:\/\/time.com\/6271657\/a-to-z-of-artificial-intelligence\/ (accessed August 30 2023)."},{"key":"e_1_3_4_78_1","volume-title":"Conditionally adaptive multi-task learning: Improving transfer learning in nlp using fewer parameters & less data","author":"Pilault J.","year":"2020","unstructured":"Pilault, J.; Elhattami, A.; and Pal, C. Conditionally adaptive multi-task learning: Improving transfer learning in nlp using fewer parameters & less data. arXiv preprint arXiv:2009.09139 (2020)."},{"key":"e_1_3_4_79_1","doi-asserted-by":"publisher","DOI":"10.1080\/07421222.2023.2267317"},{"key":"e_1_3_4_80_1","first-page":"99","article-title":"The representation of knowledge in memory","author":"Rumelhart D.E.","year":"1977","unstructured":"Rumelhart, D.E.; and Ortony, A. The representation of knowledge in memory. Schooling and the Acquisition of Knowledge, (1977), 99\u2013135.","journal-title":"Schooling and the Acquisition of Knowledge"},{"key":"e_1_3_4_81_1","doi-asserted-by":"publisher","DOI":"10.2307\/747898"},{"key":"e_1_3_4_82_1","doi-asserted-by":"publisher","DOI":"10.1080\/07421222.2023.2172772"},{"key":"e_1_3_4_83_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013027"},{"key":"e_1_3_4_84_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41583-020-00395-8"},{"key":"e_1_3_4_85_1","doi-asserted-by":"publisher","DOI":"10.1037\/a0024997"},{"key":"e_1_3_4_86_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018876"},{"key":"e_1_3_4_87_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-023-06291-2"},{"key":"e_1_3_4_88_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11164"},{"key":"e_1_3_4_89_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cedpsych.2005.08.001"},{"key":"e_1_3_4_90_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2006.07.002"},{"key":"e_1_3_4_91_1","first-page":"20227","article-title":"Leap-of-thought: Teaching pre-trained models to systematically reason over implicit knowledge","volume":"33","author":"Talmor A.","year":"2020","unstructured":"Talmor, A.; Tafjord, O.; Clark, P.; Goldberg, Y.; and Berant, J. Leap-of-thought: Teaching pre-trained models to systematically reason over implicit knowledge. Advances in Neural Information Processing Systems, 33 (2020), 20227\u201320237.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_4_92_1","doi-asserted-by":"publisher","DOI":"10.25300\/MISQ\/2017\/41.1.15"},{"key":"e_1_3_4_93_1","doi-asserted-by":"publisher","DOI":"10.4324\/9780203773185"},{"key":"e_1_3_4_94_1","doi-asserted-by":"publisher","DOI":"10.1287\/isre.3.1.36"},{"key":"e_1_3_4_95_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186175"},{"key":"e_1_3_4_96_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/406"},{"key":"e_1_3_4_97_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2754499"},{"key":"e_1_3_4_98_1","volume-title":"Entailment as few-shot learner","author":"Wang S.","year":"2021","unstructured":"Wang, S.; Fang, H.; Khabsa, M.; Mao, H.; and Ma, H. Entailment as few-shot learner. arXiv preprint arXiv:2104.14690 (2021)."},{"key":"e_1_3_4_99_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00360"},{"key":"e_1_3_4_100_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-016-0043-6"},{"key":"e_1_3_4_101_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.12.004"},{"key":"e_1_3_4_102_1","doi-asserted-by":"publisher","DOI":"10.1080\/07421222.2023.2196780"},{"key":"e_1_3_4_103_1","doi-asserted-by":"publisher","DOI":"10.1080\/07421222.2023.2196770"},{"key":"e_1_3_4_104_1","first-page":"1","article-title":"A general method for transferring explicit knowledge into language model pretraining","author":"Yan R.","year":"2021","unstructured":"Yan, R.; Sun, L.; Wang, F.; and Zhang, X. A general method for transferring explicit knowledge into language model pretraining. Security and Communication Networks, 2021 (2021), 1\u20138.","journal-title":"Security and Communication Networks, 2021"},{"key":"e_1_3_4_105_1","article-title":"Xlnet: Generalized autoregressive pretraining for language understanding","volume":"32","author":"Yang Z.","year":"2019","unstructured":"Yang, Z.; Dai, Z.; Yang, Y.; Carbonell, J.; Salakhutdinov, R.R.; and Le, Q.V. In H. Wallach, H. Larochelle, A. Beygelzimer, F. d\u2019Alch\u00e9-Buc, E. Fox, and R.; Garnett (eds.), Xlnet: Generalized autoregressive pretraining for language understanding. Advances in Neural Information Processing Systems. Vancouver, 32 (2019).","journal-title":"Advances in Neural Information Processing Systems. Vancouver"},{"key":"e_1_3_4_106_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33017370"},{"key":"e_1_3_4_107_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btab207"},{"key":"e_1_3_4_108_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1306"},{"key":"e_1_3_4_109_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00141"},{"key":"e_1_3_4_110_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1139"}],"container-title":["Journal of Management Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/07421222.2024.2340827","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,2]],"date-time":"2024-07-02T08:26:39Z","timestamp":1719908799000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/07421222.2024.2340827"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,2]]},"references-count":109,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,4,2]]}},"alternative-id":["10.1080\/07421222.2024.2340827"],"URL":"https:\/\/doi.org\/10.1080\/07421222.2024.2340827","relation":{},"ISSN":["0742-1222","1557-928X"],"issn-type":[{"value":"0742-1222","type":"print"},{"value":"1557-928X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4,2]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=mmis20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=mmis20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2024-06-24","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}