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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">PBES</journal-id><journal-title-group><journal-title>Proceedings of Business and Economic Studies</journal-title></journal-title-group><issn>2209-2641</issn><eissn>2209-265X</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/pbes.v9i5.15181</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on Data Value Realization and Economic Efficiency Enhancement in Manufacturing Industry: A Case Study of Ningbo</title><url>https://artdesignp.com/journal/PBES/9/5/10.26689/pbes.v9i5.15181</url><author>ZouJiaxin</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>9</volume><issue>5</issue><history><date date-type="pub"><published-time>2026-06-19</published-time></date></history><abstract>This study investigates barriers that prevents manufacturing firms from converting data assets into economic value. Based on the survey of the 287 enterprises in Ningbo, China, the analysis examines three interconnected factors: data governance costs, technology adoption risks, and benefit distribution clarity. According to the above results, the governance cost and adoption risk of small and medium-sized enterprises are relatively high, and vague distribution rules have weakened cooperation at all levels of the enterprise. Significant differences have been found between the large and small-sized enterprises in all the above indices. Based on the above research, we have suggested several plans to control costs, manage risks and regulate rules in a transparent way.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Müller J, Buliga O, Voigt K, 2018, Fortune Favors the Prepared: How SMES Approach Business Model Innovations in Industry 4.0. Technological Forecasting and Social Change, 2018(132): 2–17.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Ghobakhloo M, 2020, Industry 4.0, Digitization, and Opportunities for Sustainability. Journal of Cleaner Production, 2020(252): 119869.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Fathi M, Ghobakhloo M, 2020, Enabling Mass Customization and Manufacturing Sustainability in Industry 4.0 Context: A Novel Heuristic Algorithm for In-Plant Material Supply Optimization. Sustainability, 12(16): 6669.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Janssen M, Brous P, Estevez E, et al., 2020, Data Governance: Organizing Data for Trustworthy Artificial Intelligence. Government Information Quarterly, 37(3): 101493.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Fathi M, Nourmohammadi A, Ghobakhloo M, et al., 2020, Production Sustainability via Supermarket Location Optimization in Assembly Lines. Sustainability, 12(11): 4728.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Kache F, Seuring S, 2017, Challenges and Opportunities of Digital Information at the Intersection of Big Data Analytics and Supply Chain Management. International Journal of Operations and Production Management, 37(1): 10–36.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Buer S, Strandhagen J, Chan F, 2018, The Link between Industry 4.0 and Lean Manufacturing: Mapping Current Research and Establishing a Research Agenda. International Journal of Production Research, 56(8): 2924–2940.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Ghobakhloo M, Fathi M, 2020, Corporate Survival in Industry 4.0 Era: The Enabling Role of Lean-Digitized Manufacturing. Journal of Manufacturing Technology Management, 31(1): 1–30.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
