{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T02:41:32Z","timestamp":1780627292391,"version":"3.54.1"},"reference-count":88,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2023,1,6]],"date-time":"2023-01-06T00:00:00Z","timestamp":1672963200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>The emergence of artificial intelligence (AI) and its derivative technologies, such as machine learning (ML) and deep learning (DL), heralds a new era of knowledge management (KM) presentation and discovery. KM necessitates ML for improved organisational experiences, particularly in making knowledge management more discoverable and shareable. Machine learning (ML) is a type of artificial intelligence (AI) that requires new tools and techniques to acquire, store, and analyse data and is used to improve decision-making and to make more accurate predictions of future outcomes. ML demands big data be used to develop a method of data analysis that automates the construction of analytical models for the purpose of improving the organisational knowledge. Knowledge, as an organisation\u2019s most valuable asset, must be managed in automation to support decision-making, which can only be accomplished by activating ML in knowledge management systems (KMS). The main objective of this study is to investigate the extent to which machine learning applications are used in knowledge management applications. This is very important because ML with AI capabilities will become the future of managing knowledge for business survival. This research used a literature review and theme analysis of recent studies to acquire its data. The results of this research provide an overview of the relationship between big data, machine learning, and knowledge management. This research also shows that only 10% of the research that has been published is about machine learning and knowledge management in business and management applications. Therefore, this study gives an overview of the knowledge gap in investigating how ML can be used in KM for business applications in organisations.<\/jats:p>","DOI":"10.3390\/info14010035","type":"journal-article","created":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T04:47:08Z","timestamp":1673239628000},"page":"35","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Optimisation of Knowledge Management (KM) with Machine Learning (ML) Enabled"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8160-6682","authenticated-orcid":false,"given":"Muhammad","family":"Anshari","sequence":"first","affiliation":[{"name":"School of Business & Economics, Universiti Brunei Darussalam, Bandar Seri Begawan BE1410, Brunei"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5640-4413","authenticated-orcid":false,"given":"Muhammad","family":"Syafrudin","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence, Sejong University, Seoul 05006, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abby","family":"Tan","sequence":"additional","affiliation":[{"name":"Faculty of Science, Universiti Brunei Darussalam, Bandar Seri Begawan BE1410, Brunei"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1133-3965","authenticated-orcid":false,"given":"Norma Latif","family":"Fitriyani","sequence":"additional","affiliation":[{"name":"Department of Data Science, Sejong University, Seoul 05006, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yabit","family":"Alas","sequence":"additional","affiliation":[{"name":"Faculty of Arts and Social Sciences, Universiti Brunei Darussalam, Bandar Seri Begawan BE1410, Brunei"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Zanker, M., and Bure\u0161, V. (2022). Knowledge Management as a Domain, System Dynamics as a Methodology. Systems, 10.","DOI":"10.3390\/systems10030082"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Pasher, E., and Ronen, T. (2011). The Complete Guide to Knowledge Management: A Strategic Plan to Leverage Your Company\u2019s Intellectual Capital, John Wiley.","DOI":"10.1002\/9781118983782"},{"key":"ref_3","unstructured":"Maci, J., Maresova, P., Firlej, K., and Soukal, I. (2021). Contextualisation of the Current Knowledge and Technology Transfer-Related Literature: The Text Analysis, University of Hradec Kr\u00e1lov\u00e9."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1108\/02635570010273018","article-title":"Knowledge Management: Practices and Challenges","volume":"100","author":"Gupta","year":"2000","journal-title":"Ind. Manag. Data Syst."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Lyu, H., Zhou, Z., and Zhang, Z. (2016). Measuring Knowledge Management Performance in Organizations: An Integrative Framework of Balanced Scorecard and Fuzzy Evaluation. Information, 7.","DOI":"10.3390\/info7020029"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Nyame, G., Qin, Z., Obour Agyekum, K.O.-B., and Sifah, E.B. (2020). An ECDSA Approach to Access Control in Knowledge Management Systems Using Blockchain. Information, 11.","DOI":"10.3390\/info11020111"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Anshari, M., Hamdan, M., Ahmad, N., Ali, E., and Haidi, H. (2022). COVID-19, Artificial Intelligence, Ethical Challenges and Policy Implications. AI Soc.","DOI":"10.1007\/s00146-022-01471-6"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Mulyani, M.A., Yusuf, S., Siregar, P., Nurihsan, J., Razzaq, A., and Anshari, M. (2021, January 19). Fourth Industrial Revolution and Educational Challenges. Proceedings of the 2021 International Conference on Information Management and Technology (ICIMTech), Jakarta, Indonesia.","DOI":"10.1109\/ICIMTech53080.2021.9535057"},{"key":"ref_9","first-page":"1","article-title":"Knowledge management as a strategy & competitive advantage: A strong influence to success (A survey of knowledge management case studies of different organizations)","volume":"6","author":"Azam","year":"2016","journal-title":"Public Policy Adm. Res."},{"key":"ref_10","unstructured":"Starmind (2022, August 21). What Is Tacit Knowledge and How Can Businesses Access It?. Available online: https:\/\/www.starmind.ai\/resources\/what-is-tacit-knowledge-and-how-do-you-access-it."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1108\/14635770410538745","article-title":"Benchmarking Knowledge Management in a Public Organisation in Malaysia","volume":"11","author":"Rowland","year":"2004","journal-title":"Benchmarking Int. J."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Abbas, J., Zhang, Q., Hussain, I., Akram, S., Afaq, A., and Shad, M.A. (2020). Sustainable Innovation in Small Medium Enterprises: The Impact of Knowledge Management on Organizational Innovation through a Mediation Analysis by Using SEM Approach. Sustainability, 12.","DOI":"10.3390\/su12062407"},{"key":"ref_13","unstructured":"Hajric, E. (2018). Knowledge Management System and Practices-A Theoretical and Practical Guide for Knowledge Management in Your Organization, Helpjuice."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"AlQershi, N., Mokhtar, S.S.M., and Abas, Z.B. (2020). Innovative CRM and Performance of SMEs: The Moderating Role of Relational Capital. J. Open Innov. Technol. Mark. Complex., 6.","DOI":"10.3390\/joitmc6040155"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1016\/j.ijinfomgt.2011.02.003","article-title":"Strategic Knowledge Management, Innovation and Performance","volume":"31","year":"2011","journal-title":"Int. J. Inf. Manag."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1108\/13673270510602809","article-title":"Knowledge Management, Innovation and Firm Performance","volume":"9","author":"Darroch","year":"2005","journal-title":"J. Knowl. Manag."},{"key":"ref_17","unstructured":"Bughin, J., Byers, A.H., and Chui, M. (2022, December 09). How Social Technologies Are Extending the Organization. Available online: https:\/\/www.intec.co.uk\/wp-content\/uploads\/2014\/08\/Mckinsey-report-_-Soc-Bus-_-21.11.11.pdf."},{"key":"ref_18","first-page":"69","article-title":"Keeping Customers","volume":"153","author":"Harris","year":"2001","journal-title":"Sales Mark. Manag."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1108\/13673271111137466","article-title":"Knowledge Management in Service Encounters: Impact on Customers\u2019 Satisfaction Evaluations","volume":"15","author":"Guchait","year":"2011","journal-title":"J. Knowl. Manag."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1016\/j.ijmedinf.2017.10.012","article-title":"Identifying and Prioritizing the Tools\/Techniques of Knowledge Management Based on the Asian Productivity Organization Model (APO) to Use in Hospitals","volume":"108","author":"Khajouei","year":"2017","journal-title":"Int. J. Med. Inform."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Zhou, Z., Liu, Y., Yu, H., and Ren, L. (2020). The Influence of Machine Learning-Based Knowledge Management Model on Enterprise Organizational Capability Innovation and Industrial Development. PLoS ONE, 15.","DOI":"10.1371\/journal.pone.0242253"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"476","DOI":"10.1016\/j.jclepro.2016.10.083","article-title":"An Analysis of the Interplay between Organizational Sustainability, Knowledge Management, and Open Innovation","volume":"142","author":"Lopes","year":"2017","journal-title":"J. Clean. Prod."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.autcon.2018.12.013","article-title":"A Scientometric Analysis and Critical Review of Construction Related Ontology Research","volume":"101","author":"Zhong","year":"2019","journal-title":"Autom. Constr."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1007\/s00766-018-0298-x","article-title":"A Requirements Engineering Methodology for Knowledge Management Solutions: Integrating Technical and Social Aspects","volume":"24","author":"Levy","year":"2019","journal-title":"Requir. Eng."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"012012","DOI":"10.1088\/1742-6596\/1142\/1\/012012","article-title":"Machine Learning from Theory to Algorithms: An Overview","volume":"1142","author":"Alzubi","year":"2018","journal-title":"J. Phys. Conf. Ser."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1686","DOI":"10.1109\/COMST.2020.2986444","article-title":"Machine Learning in IoT Security: Current Solutions and Future Challenges","volume":"22","author":"Hussain","year":"2020","journal-title":"IEEE Commun. Surv. Tutorials"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Anshari, M., Syafrudin, M., and Fitriyani, N.L. (2022). Fourth Industrial Revolution between Knowledge Management and Digital Humanities. Information, 13.","DOI":"10.3390\/info13060292"},{"key":"ref_28","unstructured":"(2022, December 09). Simplifying the Difference: Machine Learning vs Deep Learning. Available online: https:\/\/www.scs.org.sg\/articles\/machine-learning-vs-deep-learning."},{"key":"ref_29","first-page":"41","article-title":"A Review on the Significance of Machine Learning for Data Analysis in Big Data","volume":"6","author":"Kolisetty","year":"2019","journal-title":"Jordanian J. Comput. Inf. Technol."},{"key":"ref_30","unstructured":"(2022, December 09). Machine Learning Solutions for Knowledge Management. Available online: https:\/\/docs.servicenow.com\/bundle\/quebec-servicenow-platform\/page\/product\/knowledge-management\/concept\/machine-learning-km.html."},{"key":"ref_31","first-page":"65","article-title":"Tutorial: Big Data Analytics: Concepts, Technologies, and Applications","volume":"34","author":"Watson","year":"2014","journal-title":"Commun. Assoc. Inf. Syst."},{"key":"ref_32","unstructured":"Villars, R.L., Olofson, C.W., and Eastwood, M. (2022, December 24). Big data: What it is and why you should care. Available online: https:\/\/www.admin-magazine.com\/HPC\/content\/download\/5604\/49345\/file\/IDC_BigData_whitepaper_final.pdf."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Syafrudin, M., Fitriyani, N., Li, D., Alfian, G., Rhee, J., and Kang, Y.-S. (2017). An Open Source-Based Real-Time Data Processing Architecture Framework for Manufacturing Sustainability. Sustainability, 9.","DOI":"10.3390\/su9112139"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Ord\u00f3\u00f1ez de Pablos, P. (2011). Electronic Globalized Business and Sustainable Development through IT Management: Strategies and Perspectives, Business Science Reference.","DOI":"10.4018\/978-1-61520-623-0"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Syafrudin, M., Alfian, G., Fitriyani, N., and Rhee, J. (2018). Performance Analysis of IoT-Based Sensor, Big Data Processing, and Machine Learning Model for Real-Time Monitoring System in Automotive Manufacturing. Sensors, 18.","DOI":"10.3390\/s18092946"},{"key":"ref_36","unstructured":"Ord\u00f3\u00f1ez de Pablos, P., Zhang, X., and Almunawar, M.N. (2022). The Application of Artificial Intelligence to the Process of Logistic During COVID-19: In Advances in Finance, Accounting, and Economics, IGI Global."},{"key":"ref_37","unstructured":"Proffitt, B. (2022, December 09). Big Data Analytics May Detect Infection before Clinicians. Available online: https:\/\/www.computerworld.com\/article\/2729007\/big-data-analytics-may-detect-infection-before-clinicians.amp.html."},{"key":"ref_38","unstructured":"Marr, B. (2022, December 09). The Awesome Ways Big Data Is Used Today to Change Our World. Available online: https:\/\/www.linkedin.com\/pulse\/20131113065157-64875646-the-awesome-ways-big-data-is-used-today-to-change-our-world."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1167","DOI":"10.1007\/s11265-017-1304-0","article-title":"Data and Decision Intelligence for Human-in-the-Loop Cyber-Physical Systems: Reference Model, Recent Progresses and Challenges","volume":"90","author":"Ma","year":"2018","journal-title":"J. Signal Process. Syst."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Cioffi, R., Travaglioni, M., Piscitelli, G., Petrillo, A., and De Felice, F. (2020). Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions. Sustainability, 12.","DOI":"10.3390\/su12020492"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1016\/j.comcom.2020.02.069","article-title":"Applications of Artificial Intelligence and Machine Learning in Smart Cities","volume":"154","author":"Ullah","year":"2020","journal-title":"Comput. Commun."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3522760","article-title":"Novel Machine Learning for Big Data Analytics in Intelligent Support Information Management Systems","volume":"13","author":"Lv","year":"2022","journal-title":"ACM Trans. Manag. Inf. Syst."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.procir.2022.05.220","article-title":"Semantic Knowledge Management System for Design Documentation with Heterogeneous Data Using Machine Learning","volume":"109","author":"Gammack","year":"2022","journal-title":"Procedia CIRP"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1150","DOI":"10.1016\/j.dss.2012.10.040","article-title":"A Comparative Analysis of Machine Learning Systems for Measuring the Impact of Knowledge Management Practices","volume":"54","author":"Delen","year":"2013","journal-title":"Decis. Support Syst."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"2250017","DOI":"10.1142\/S0219649222500174","article-title":"Applications of Machine Learning in Knowledge Management System: A Comprehensive Review","volume":"21","author":"Simon","year":"2022","journal-title":"J. Inf. Knowl. Manag."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Ter\u00e1n-Bustamante, A., Mart\u00ednez-Velasco, A., and D\u00e1vila-Arag\u00f3n, G. (2021). Knowledge Management for Open Innovation: Bayesian Networks through Machine Learning. J. Open Innov. Technol. Mark. Complex., 7.","DOI":"10.3390\/joitmc7010040"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Kumar, Y., Kaur, K., and Singh, G. (2020, January 9\u201310). Machine Learning Aspects and Its Applications Towards Different Research Areas. Proceedings of the 2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM), Dubai, United Arab Emirates.","DOI":"10.1109\/ICCAKM46823.2020.9051502"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"101284","DOI":"10.1109\/ACCESS.2020.2998754","article-title":"Impact of Big Data and Machine Learning on Digital Transformation in Marketing: A Literature Review","volume":"8","author":"Miklosik","year":"2020","journal-title":"IEEE Access"},{"key":"ref_49","unstructured":"Diaconita, V. (2022, December 24). Big Data and Machine Learning for Knowledge Management. Available online: https:\/\/www.researchgate.net\/profile\/Irina-Georgescu\/publication\/264165988_POTENTIAL_OUTPUT_ESTIMATES_USING_A_GREY_PRODUCTION_FUNCTION_APPROACH\/links\/5c9911ed45851506d72bb134\/POTENTIAL-OUTPUT-ESTIMATES-USING-A-GREY-PRODUCTION-FUNCTION-APPROACH.pdf#page=244."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Phan, A.-C., Phan, T.-C., and Trieu, T.-N. (2022). A Systematic Approach to Healthcare Knowledge Management Systems in the Era of Big Data and Artificial Intelligence. Appl. Sci., 12.","DOI":"10.3390\/app12094455"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"811","DOI":"10.1016\/j.jacr.2017.02.019","article-title":"Big Data and Machine Learning\u2014Strategies for Driving This Bus: A Summary of the 2016 Intersociety Summer Conference","volume":"14","author":"Kruskal","year":"2017","journal-title":"J. Am. Coll. Radiol."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1177\/016555158901500412","article-title":"From Information- to Knowledge-Management: The Role of Rule Induction and Neural Net Machine Learning Techniques in Knowledge Generation","volume":"15","author":"Ford","year":"1989","journal-title":"J. Inf. Sci."},{"key":"ref_53","first-page":"5","article-title":"Artificial Intelligence in Knowledge Management: Overview and Trends","volume":"43","author":"Birzniece","year":"2011","journal-title":"Sci. J. Riga Tech. Univ. Comput. Sci."},{"key":"ref_54","unstructured":"Zbuchea, A., Vidu, C., and Pinzaru, F. (2022, December 24). Is Artificial Intelligence Changing Knowledge Management. Available online: https:\/\/strategica-conference.ro\/wp-content\/uploads\/2022\/04\/47.pdf."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"807","DOI":"10.1007\/s10796-021-10179-9","article-title":"Advances in Secure Knowledge Management in the Artificial Intelligence Era","volume":"23","author":"Sahay","year":"2021","journal-title":"Inf. Syst. Front."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1109\/MVT.2019.2920162","article-title":"Autonomous Wireless Systems with Artificial Intelligence: A Knowledge Management Perspective","volume":"14","author":"Gacanin","year":"2019","journal-title":"IEEE Veh. Technol. Mag."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Maarif, M.R., Listyanda, R.F., Kang, Y.-S., and Syafrudin, M. (2022). Artificial Neural Network Training Using Structural Learning with Forgetting for Parameter Analysis of Injection Molding Quality Prediction. Information, 13.","DOI":"10.3390\/info13100488"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Prananda, A.R., Frannita, E.L., Hutami, A.H.T., Maarif, M.R., Fitriyani, N.L., and Syafrudin, M. (2022). Retinal Nerve Fiber Layer Analysis Using Deep Learning to Improve Glaucoma Detection in Eye Disease Assessment. Appl. Sci., 13.","DOI":"10.3390\/app13010037"},{"key":"ref_59","unstructured":"Leondes, C.T. (2002). Expert Systems: The Technology of Knowledge Management and Decision Making for the 21st Century, Academic Press."},{"key":"ref_60","unstructured":"Reshi, Y.S., and Khan, R.A. (2022, December 24). Creating Business Intelligence through Machine Learning: An Effective Business Decision Making Tool. Available online: https:\/\/www.iiste.org\/Journals\/index.php\/IKM\/article\/view\/10380\/10579."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1007\/s43681-020-00015-2","article-title":"AI Ethics and Its Impact on Knowledge Management","volume":"1","author":"Rhem","year":"2021","journal-title":"AI Ethics"},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Fitriyani, N.L., Syafrudin, M., Ulyah, S.M., Alfian, G., Qolbiyani, S.L., and Anshari, M. (2022). A Comprehensive Analysis of Chinese, Japanese, Korean, US-PIMA Indian, and Trinidadian Screening Scores for Diabetes Risk Assessment and Prediction. Mathematics, 10.","DOI":"10.3390\/math10214027"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/0957-4174(91)90131-W","article-title":"Integration of Adaptive Machine Learning and Knowledge-Based Systems for Routing and Scheduling Applications","volume":"2","author":"Kadaba","year":"1991","journal-title":"Expert Syst. Appl."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1016\/0957-4174(94)E0029-T","article-title":"Knowledge-Based Systems Verification: A Machine Learning-Based Approach","volume":"8","author":"Lounis","year":"1995","journal-title":"Expert Syst. Appl."},{"key":"ref_65","first-page":"1","article-title":"From Knowledge-Based to Skill-Based Systems: Sailing as a Machine Learning Challenge","volume":"Volume 2838","author":"Gamberger","year":"2003","journal-title":"Knowledge Discovery in Databases: PKDD 2003"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/j.petlm.2020.08.001","article-title":"Recent Progress and New Developments of Applications of Artificial Intelligence (AI), Knowledge-Based Systems (KBS), and Machine Learning (ML) in the Petroleum Industry","volume":"6","author":"Tontiwachwuthikul","year":"2020","journal-title":"Petroleum"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"1","DOI":"10.4018\/IJISSCM.2022010103","article-title":"Forecasting Supply Chain Demand Approach Using Knowledge Management Processes and Supervised Learning Techniques","volume":"15","author":"Brahami","year":"2022","journal-title":"Int. J. Inf. Syst. Supply Chain. Manag."},{"key":"ref_68","unstructured":"dos Santos Vieira, R., do Nascimento, H.A.D., and da Silva, W.B. (2022, December 24). The Application of Machine Learning to Problems in Graph Drawing a Literature Review. Available online: https:\/\/www.researchgate.net\/profile\/Hugo-Nascimento-7\/publication\/273945668_The_Application_of_Machine_Learning_to_Problems_in_Graph_Drawing_A_Literature_Review\/links\/5510b4b40cf2a8dd79beaa22\/The-Application-of-Machine-Learning-to-Problems-in-Graph-Drawing-A-Literature-Review.pdf."},{"key":"ref_69","unstructured":"Onwujekwe, G., Osei-Bryson, K.M., and Ngwum, N. (2022, December 24). A Framework for Capturing and Analyzing Unstructured and Semi-Structured Data for a Knowledge Management System. Available online: https:\/\/arxiv.org\/ftp\/arxiv\/papers\/2007\/2007.07102.pdf."},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Thakur, N., and Parameshachari, B.D. (2021). Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments (Part I), Bentham Science Publishers.","DOI":"10.2174\/97898149988191210101"},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Nonaka, I., and Takeuchi, H. (1995). The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation, Oxford University Press.","DOI":"10.1093\/oso\/9780195092691.001.0001"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"104106","DOI":"10.1016\/j.tourman.2020.104106","article-title":"Control, Use and Ownership of Big Data: A Reciprocal View of Customer Big Data Value in the Hospitality and Tourism Industry","volume":"80","author":"Line","year":"2020","journal-title":"Tour. Manag."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"102347","DOI":"10.1016\/j.ijinfomgt.2021.102347","article-title":"Using Big Data for Co-Innovation Processes: Mapping the Field of Data-Driven Innovation, Proposing Theoretical Developments and Providing a Research Agenda","volume":"60","author":"Bresciani","year":"2021","journal-title":"Int. J. Inf. Manag."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.aci.2018.05.004","article-title":"Customer Relationship Management and Big Data Enabled: Personalization & Customization of Services","volume":"15","author":"Anshari","year":"2019","journal-title":"Appl. Comput. Inform."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.bdr.2015.04.001","article-title":"Efficient Machine Learning for Big Data: A Review","volume":"2","author":"Yoo","year":"2015","journal-title":"Big Data Res."},{"key":"ref_76","unstructured":"Siregar, Z.M.E., Suryana, E.A., Ahman, E., and Senen, S.H. (2022, December 25). Does Knowledge Management Enhance Innovation: A Literature Review. Available online: https:\/\/www.researchgate.net\/profile\/Zulkifli-Siregar\/publication\/336995121_Does_Knowledge_Management_Enhance_Innovation_A_Literature_Review\/links\/5dbe957f4585151435e2705b\/Does-Knowledge-Management-Enhance-Innovation-A-Literature-Review.pdf."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.jik.2017.07.003","article-title":"Knowledge Management, Decision-Making Style and Organizational Performance","volume":"4","author":"Abubakar","year":"2019","journal-title":"J. Innov. Knowl."},{"key":"ref_78","unstructured":"Dahbur, K., Bashabsheh, Z., and Bashabsheh, D. (2022, December 25). Assessment of Security Awareness: A Qualitative and Quantitative Study. Available online: http:\/\/americanscholarspress.us\/journals\/IMR\/pdf\/IMR-1-2017.%20pdf\/IMR-v13n1art4.pdf."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/j.procs.2015.04.188","article-title":"A Brief Introduction on Big Data 5Vs Characteristics and Hadoop Technology","volume":"48","author":"Ishwarappa","year":"2015","journal-title":"Procedia Comput. Sci."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1007\/s11761-019-00265-x","article-title":"Research Challenges of Big Data","volume":"13","author":"Younas","year":"2019","journal-title":"Serv. Oriented Comput. Appl."},{"key":"ref_81","first-page":"575","article-title":"A Survey of Big Data and Machine Learning","volume":"10","author":"Salkuti","year":"2020","journal-title":"Int. J. Electr. Comput. Eng."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.conb.2019.02.006","article-title":"Machine Learning and Big Data in Psychiatry: Toward Clinical Applications","volume":"55","author":"Rutledge","year":"2019","journal-title":"Curr. Opin. Neurobiol."},{"key":"ref_83","unstructured":"Tyagi, A.K., and Rekha, G. (2019, January 26\u201328). Machine Learning with Big Data. Proceedings of the International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Jaipur, India."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40537-014-0007-7","article-title":"Deep Learning Applications and Challenges in Big Data Analytics","volume":"2","author":"Najafabadi","year":"2015","journal-title":"J. Big Data"},{"key":"ref_85","first-page":"131","article-title":"Knowledge Transfer in Software Companies Based on Machine Learning","volume":"Volume 1071","author":"Mejia","year":"2020","journal-title":"Trends and Applications in Software Engineering. In Advances in Intelligent Systems and Computing"},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"23","DOI":"10.3991\/ijet.v14i16.10588","article-title":"Knowledge Management and Reuse in Virtual Learning Communities","volume":"14","author":"Sekkal","year":"2019","journal-title":"Int. J. Emerg. Technol. Learn."},{"key":"ref_87","first-page":"373","article-title":"Understanding Knowledge Management and Upskilling in Fourth Industrial Revolution: Transformational Shift and SECI Model","volume":"52","author":"Anshari","year":"2022","journal-title":"VINE J. Inf. Knowl. Manag. Syst."},{"key":"ref_88","doi-asserted-by":"crossref","unstructured":"Anshari, M., Nurmaini, S., Lim, S.A., and Caesarendra, W. (2019, January 2\u20133). Big Data and Big Challenge for Knowledge Management. Proceedings of the 2019 International Conference on Electrical Engineering and Computer Science (ICECOS), Batam Island, Indonesia.","DOI":"10.1109\/ICECOS47637.2019.8984508"}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/14\/1\/35\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T18:01:46Z","timestamp":1760119306000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/14\/1\/35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,6]]},"references-count":88,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,1]]}},"alternative-id":["info14010035"],"URL":"https:\/\/doi.org\/10.3390\/info14010035","relation":{},"ISSN":["2078-2489"],"issn-type":[{"value":"2078-2489","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,6]]}}}