{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T15:28:30Z","timestamp":1782401310348,"version":"3.54.5"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031934285","type":"print"},{"value":"9783031934292","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-93429-2_18","type":"book-chapter","created":{"date-parts":[[2025,5,31]],"date-time":"2025-05-31T17:23:54Z","timestamp":1748712234000},"page":"267-276","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Applied Optical Character Recognition and\u00a0Large Language Models in\u00a0Augmenting Manual Business Processes for\u00a0Data Analytics in\u00a0Traditional Small Businesses with\u00a0Minimal Digital Adoption"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-3780-5795","authenticated-orcid":false,"given":"Zachary Matthew","family":"Alabastro","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3748-6468","authenticated-orcid":false,"given":"Joseph Benjamin","family":"Ilagan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-0560-9231","authenticated-orcid":false,"given":"Lois Abigail","family":"To","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2111-3675","authenticated-orcid":false,"given":"Jose Ramon","family":"Ilagan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,5,30]]},"reference":[{"key":"18_CR1","unstructured":"AnalyzeDocument - Amazon Textract. https:\/\/docs.aws.amazon.com\/textract\/latest\/dg\/API_AnalyzeDocument.html"},{"key":"18_CR2","unstructured":"Claude 3 Haiku: our fastest model yet Anthropic. https:\/\/www.anthropic.com\/news\/claude-3-haiku"},{"key":"18_CR3","unstructured":"OCR Software, Data Extraction Tool - Amazon Textract - AWS. https:\/\/aws.amazon.com\/textract\/"},{"key":"18_CR4","doi-asserted-by":"publisher","unstructured":"Baier, M., et al.: Sales-force performance analytics and optimization. IBM J. Res. Dev. 56(6), 8:1\u20138:10 (2012). https:\/\/doi.org\/10.1147\/JRD.2012.2216314, https:\/\/ieeexplore.ieee.org\/abstract\/document\/6353942, 7 citations (Crossref) [2024-10-13] Conference Name: IBM Journal of Research and Development","DOI":"10.1147\/JRD.2012.2216314"},{"issue":"1","key":"18_CR5","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1002\/(SICI)1097-4571(199401)45:1<12::AID-ASI2>3.0.CO;2-L","volume":"45","author":"M Buckland","year":"1994","unstructured":"Buckland, M., Gey, F.: The relationship between Recall and Precision. J. Am. Soc. Inf. Sci. 45(1), 12\u201319 (1994)","journal-title":"J. Am. Soc. Inf. Sci."},{"key":"18_CR6","doi-asserted-by":"publisher","unstructured":"Chaudhuri, A., Mandaviya, K., Badelia, P., Ghosh, S.K.: Optical character recognition systems. In: Chaudhuri, A., Mandaviya, K., Badelia, P., K\u00a0Ghosh, S. (eds.) Optical Character Recognition Systems for Different Languages with Soft Computing, pp. 9\u201341. Springer International Publishing, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-50252-6_2","DOI":"10.1007\/978-3-319-50252-6_2"},{"key":"18_CR7","doi-asserted-by":"publisher","unstructured":"Chen, B., Zhang, Z., Langren\u00e9, N., Zhu, S.: Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review (2024). https:\/\/doi.org\/10.48550\/arXiv.2310.14735, http:\/\/arxiv.org\/abs\/2310.14735, arXiv:2310.14735","DOI":"10.48550\/arXiv.2310.14735"},{"key":"18_CR8","doi-asserted-by":"publisher","unstructured":"Church, K.W., Chen, Z., Ma, Y.: Emerging trends: a gentle introduction to fine-tuning. Nat. Lang. Eng. 27(6), 763\u2013778 (2021). https:\/\/doi.org\/10.1017\/S1351324921000322, https:\/\/www.cambridge.org\/core\/journals\/natural-language-engineering\/article\/emerging-trends-a-gentle-introduction-to-finetuning\/C31D429D0928351D6A6692F8ECD1E7ED, 31 citations (Crossref) [2025-01-29]","DOI":"10.1017\/S1351324921000322"},{"key":"18_CR9","doi-asserted-by":"publisher","unstructured":"Concepcion, R.S., Bedruz, R.A.R., Culaba, A.B., Dadios, E.P., Pascua, A.R.A.R.: The technology adoption and governance of artificial intelligence in the Philippines. In: 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ), pp. 1\u201310 (2019). https:\/\/doi.org\/10.1109\/HNICEM48295.2019.9072725, https:\/\/ieeexplore.ieee.org\/abstract\/document\/9072725?casa_token=2xcX699p_fwAAAAA:UcwEKBOzHMKlXeNQg94Hj_R2SRV5Mwx3AxVbx7f39jHVklR6MDPLJUjUsxyGMIYWQfCV5S5Pz-0P, 21 citations (Crossref) [2024-10-18]","DOI":"10.1109\/HNICEM48295.2019.9072725"},{"key":"18_CR10","unstructured":"Devarasetty, N.: AI and data engineering: harnessing the power of machine learning\u00a0in data-driven enterprises. Int. J. Mach. Learn. Res. Cybersecur. Artif. Intell. 14(1), 195\u2013226 (2023). http:\/\/ijmlrcai.com\/index.php\/Journal\/article\/view\/68, number: 1"},{"key":"18_CR11","doi-asserted-by":"publisher","unstructured":"Golin, M., Rauh, C.: The Impact of Fear of Automation (2022). https:\/\/doi.org\/10.17863\/CAM.91990, https:\/\/www.repository.cam.ac.uk\/handle\/1810\/344569, publisher: Faculty of Economics, University of Cambridge","DOI":"10.17863\/CAM.91990"},{"key":"18_CR12","doi-asserted-by":"publisher","unstructured":"Gray, C.: Entrepreneurship, resistance to change and growth in small firms. J. Small Bus. Enterp. Dev. 9(1), 61\u201372 (2002). https:\/\/doi.org\/10.1108\/14626000210419491, 139 citations (Crossref) [2025-01-18] Publisher: MCB UP Ltd","DOI":"10.1108\/14626000210419491"},{"key":"18_CR13","doi-asserted-by":"publisher","unstructured":"Habaradas, R., Jimenez, S., Mia, I.B., Javier, C., Enriquez, J., Ranieses, J.J.: Digital Technology Adoption Among Philippine Micro-, Small-,and Medium-Sized Enterprises: Barriers, Enablers & Challenges During COVID-19 4 (2024). https:\/\/doi.org\/10.61781\/4-1I2024\/1bmlm, 0 citations (Crossref) [2024-10-18]","DOI":"10.61781\/4-1I2024\/1bmlm"},{"key":"18_CR14","doi-asserted-by":"publisher","unstructured":"Helo, P., Hao, Y.: Artificial intelligence in operations management and supply chain management: an exploratory case study. Prod. Plann. Control 33(16), 1573\u20131590 (2022). https:\/\/doi.org\/10.1080\/09537287.2021.1882690, 164 citations (Crossref) [2025-01-19] Publisher: Taylor","DOI":"10.1080\/09537287.2021.1882690"},{"key":"18_CR15","doi-asserted-by":"publisher","unstructured":"Hirche, M., Greenacre, L., Nenycz-Thiel, M., Loose, S., Lockshin, L.: SKU performance and distribution: a large-scale analysis of the role of product characteristics with store scanner data. J. Retail. Consum. Serv. 61, 102533 (2021). https:\/\/doi.org\/10.1016\/j.jretconser.2021.102533, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0969698921000990, 7 citations (Crossref) [2024-10-13]","DOI":"10.1016\/j.jretconser.2021.102533"},{"key":"18_CR16","doi-asserted-by":"publisher","unstructured":"Huang, Y., Gursoy, D.: How does AI technology integration affect employees\u2019 proactive service behaviors? A transactional theory of stress perspective. J. Retail. Consum. Serv. 77, 103700 (2024). https:\/\/doi.org\/10.1016\/j.jretconser.2023.103700, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0969698923004514, 15 citations (Crossref) [2025-01-19]","DOI":"10.1016\/j.jretconser.2023.103700"},{"key":"18_CR17","doi-asserted-by":"publisher","unstructured":"Ilagan, J.B., Alabastro, Z.M., Basallo, C.L., Ilagan, J.R.: Exploratory customer discovery through simulation using ChatGPT and prompt engineering. In: Yang, X.S., Sherratt, S., Dey, N., Joshi, A. (eds.) Proceedings of Ninth International Congress on Information and Communication Technology, pp. 51\u201360. Springer Nature, Singapore (2024). https:\/\/doi.org\/10.1007\/978-981-97-4581-4_5, 0 citations (Crossref) [2025-01-19]","DOI":"10.1007\/978-981-97-4581-4_5"},{"key":"18_CR18","doi-asserted-by":"publisher","unstructured":"Lamarine, M., Hager, J., Saris, W.H.M., Astrup, A., Valsesia, A.: Fast and accurate approaches for large-scale, automated mapping of food diaries on food composition tables. Front. Nutr. 5, 38 (2018). https:\/\/doi.org\/10.3389\/fnut.2018.00038, https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC5954085\/, 9 citations (Crossref) [2025-01-29]","DOI":"10.3389\/fnut.2018.00038"},{"key":"18_CR19","doi-asserted-by":"publisher","unstructured":"Lee, D., Kim, S.C., Youn, I.H.: Development of a ship\u2019s logbook data extraction model using OCR program. J. Korean Soc. Mar. Environ. Saf. 30(1), 97\u2013107 (2024). https:\/\/doi.org\/10.7837\/kosomes.2024.30.1.097, https:\/\/koreascience.kr\/article\/JAKO202410643409202.page, 0 citations (Crossref) [2024-10-13] Publisher: The Korean Society of Marine Environment and safety","DOI":"10.7837\/kosomes.2024.30.1.097"},{"key":"18_CR20","doi-asserted-by":"publisher","unstructured":"Nguyen, T.T.H., Jatowt, A., Coustaty, M., Doucet, A.: Survey of Post-OCR processing approaches. ACM Comput. Surv. 54(6), 124:1\u2013124:37 (2021). https:\/\/doi.org\/10.1145\/3453476, https:\/\/dl.acm.org\/doi\/10.1145\/3453476, 100 citations (Crossref) [2024-10-13]","DOI":"10.1145\/3453476"},{"key":"18_CR21","doi-asserted-by":"publisher","unstructured":"Nguyen, T.H., Newby, M., Macaulay, M.J.: Information technology adoption in small business: confirmation of a proposed framework. J. Small Bus. Manage. 53(1), 207\u2013227 (2015). https:\/\/doi.org\/10.1111\/jsbm.12058, https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1111\/jsbm.12058, 151 citations (Crossref) [2025-01-19] _eprint: https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/jsbm.12058","DOI":"10.1111\/jsbm.12058"},{"key":"18_CR22","unstructured":"Perez, E., Kiela, D., Cho, K.: True few-shot learning with language models. In: Advances in Neural Information Processing Systems. vol.\u00a034, pp. 11054\u201311070. Curran Associates, Inc. (2021). https:\/\/proceedings.neurips.cc\/paper\/2021\/hash\/5c04925674920eb58467fb52ce4ef728-Abstract.html"},{"key":"18_CR23","doi-asserted-by":"publisher","unstructured":"Premkumar, G., Roberts, M.: Adoption of new information technologies in rural small businesses. Omega 27(4), 467\u2013484 (1999). https:\/\/doi.org\/10.1016\/S0305-0483(98)00071-1, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0305048398000711, 570 citations (Crossref) [2024-10-13]","DOI":"10.1016\/S0305-0483(98)00071-1"},{"key":"18_CR24","doi-asserted-by":"publisher","unstructured":"Raj, B.S., Sujith, B., Krishna, J.V., Anjali: Seamless attendance logging application: a technological revolution in logbook capture. In: 2024 IEEE 9th International Conference for Convergence in Technology (I2CT). pp.\u00a01\u20136 (2024). https:\/\/doi.org\/10.1109\/I2CT61223.2024.10543455, https:\/\/ieeexplore.ieee.org\/abstract\/document\/10543455, 0 citations (Crossref) [2024-10-13]","DOI":"10.1109\/I2CT61223.2024.10543455"},{"key":"18_CR25","unstructured":"Sajjadi, M.S.M., Bachem, O., Lucic, M., Bousquet, O., Gelly, S.: Assessing generative models via precision and recall. In: Advances in Neural Information Processing Systems. vol.\u00a031. Curran Associates, Inc. (2018). https:\/\/proceedings.neurips.cc\/paper\/2018\/hash\/f7696a9b362ac5a51c3dc8f098b73923-Abstract.html"},{"key":"18_CR26","doi-asserted-by":"publisher","unstructured":"Simon, R., Suarez, M.T.: Examining the behavioral intention of Philippine MSMEs toward business intelligence adoption. J. Bus. Manag. 28(1), 67\u201399 (2022). https:\/\/doi.org\/10.1504\/JBM.2022.141295, https:\/\/www.inderscienceonline.com\/doi\/abs\/10.1504\/JBM.2022.141295, 0 citations (Crossref) [2024-10-18] Publisher: Inderscience Publishers","DOI":"10.1504\/JBM.2022.141295"},{"key":"18_CR27","doi-asserted-by":"publisher","unstructured":"Szyma\u0144ski, P., Kajdanowicz, T.: A scikit-based Python environment for performing multi-label classification (2018). https:\/\/doi.org\/10.48550\/arXiv.1702.01460, http:\/\/arxiv.org\/abs\/1702.01460, arXiv:1702.01460 [cs]","DOI":"10.48550\/arXiv.1702.01460"},{"key":"18_CR28","unstructured":"Tolbert, F.: Why point of sales data matters for demand management. J. Bus. Forecast. 27(4), 33\u201335 (2008). https:\/\/www.proquest.com\/docview\/226917513\/abstract\/94C35C4D88CE47EFPQ\/1, num Pages: 3 Place: Flushing, United States Publisher: Journal of Business Forecasting"},{"key":"18_CR29","unstructured":"Windrum, P., de\u00a0Berranger, P.: The adoption of e-business technology by SMEs"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in HCI"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-93429-2_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,31]],"date-time":"2025-05-31T17:23:58Z","timestamp":1748712238000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-93429-2_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031934285","9783031934292"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-93429-2_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"30 May 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Gothenburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sweden","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2025.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}