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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.v9i4.14957</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>The Impact of MIS Investment on the Technical Efficiency of SMEs Under Digital Transformation: Empirical Evidence from China’s A-Share Small and Medium-Sized Listed Companies</title><url>https://artdesignp.com/journal/PBES/9/4/10.26689/pbes.v9i4.14957</url><author>LiBoyi,LiBingnan,LuoBaoyu</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>9</volume><issue>4</issue><history><date date-type="pub"><published-time>2026-06-03</published-time></date></history><abstract>Using the panel data of small and medium-sized board listed companies in China’s A-share market from 2021 to 2024, this research applies the input-oriented DEA-BCC model to measure the technical efficiency at the company level and then adopts the industry-annual two-way fixed effects model to examine the influence of management information system investment on the technical efficiency of small and medium-sized enterprises. We find that the investment in the management information system significantly restrains the technical efficiency: an increase of one standard deviation in the investment intensity will lead to the efficiency decreasing by 0.0431 units, which is equivalent to 13.34% of the sample mean and this confirms that there is a productivity paradox in the digital transformation of small and medium-sized enterprises which is analogous to the classic Solow Paradox at the corporate level. This inhibitory effect is more obvious in small-scale, high-leverage, low-profitability companies, which shows that resource endowments and risk-resistance capabilities are indeed the key boundary conditions. This research not only provides micro-empirical evidence for the research regarding the digital transformation of small and medium-sized enterprises but also produces practical reference materials for enterprises and policymakers.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Solow R, 1987, We’d Better Watch Out, New York Times Book Review, 36–38.</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>Brynjolfsson E, Hitt L, 2000, Beyond Computation: Information Technology, Organizational Transformation and Business Performance. Journal of Economic Perspectives, 14(4): 23–48.</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>Wen H, Zhong Q, Lee C, 2022, Digitalization, Competition Strategy and Corporate Innovation: Evidence from Chinese Manufacturing Listed Companies. International Review of Financial Analysis, 2022(82): 102166.</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>Apulu I, Latham A, 2011, Drivers for Information and Communication Technology Adoption: A Case Study of Nigerian Small and Medium Sized Enterprises. International Journal of Business and Management, 6(5): 51–60.</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>Wu S, Straub D, Liang T, 2021, Information Technology Investment and Firm Performance: The Moderating Role of IT-enabled Dynamic Capabilities. MIS Quarterly, 45(2): 571–604.</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>Barney J, 1991, Firm Resources and Sustained Competitive Advantage. Journal of Management, 17(1): 99–120.</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>Khanna R, Sharma C, 2024, Beyond Information Technology and Productivity Paradox: Analysing the Channels of Impact at the Firm-level. Technological Forecasting and Social Change, 2024(202): 123369.</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>Wang M, Luo Z, 2024, The Non-linear Impact of Digitalization on the Performance of SMEs: A Hypothesis Test Based on the Digitalization Paradox. Systems, 12(4): 139.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Song D, Chen L, 2024, Research on the Influence Effect of Digital Technology Application on the Total Factor Productivity of Enterprises: A Further Discussion of the Methods to Resolve the New Solow Paradox. Science &amp; Technology Progress and Policy, 41(9): 1–12.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Sahoo S, Upadhyay A, 2024, A Systematic Review of Paradoxes Linked with Digital Transformation of Business. Journal of Enterprise Information Management, 37(4): 1348–1373.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B11" content-type="article"><label>11</label><element-citation publication-type="journal"><p>Banker R, Charnes A, Cooper W, 1984, Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9): 1078–1092.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
