{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T16:51:21Z","timestamp":1781283081335,"version":"3.54.1"},"reference-count":119,"publisher":"Emerald","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,3,9]]},"abstract":"\n Purpose<\/jats:title>\n This study explores how organizations can leverage their network positions to enhance the quality and utilization of enterprise big data, ultimately driving better decision-making, customer-oriented innovation and sustainable competitive advantage. We develop and empirically test a comprehensive process model that explains how firms transform network-enabled data resources into strategic value.<\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n Data were collected from senior executives across multiple industries in Taiwan to test the proposed model. Partial least squares structural equation modeling was used to analyze the relationships among network positioning, data quality, data utilization processes and business outcomes.<\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n The results show that a firm\u2019s centrality and cohesion within its business ecosystem significantly enhance its big data quality and utilization capabilities. These network-enabled data resources improve the quality and speed of decision-making, thereby fostering customer-oriented innovation. The process model validates a dual-value creation mechanism: customer-focused innovations not only enhance innovation performance but also contribute to sustainable competitive advantage by simultaneously addressing customer needs and delivering lasting strategic benefits.<\/jats:p>\n <\/jats:sec>\n \n Research limitations\/implications<\/jats:title>\n This study offers a theoretically grounded framework for converting external network resources into distinctive data assets that create value for both customers and organizations, supporting innovation and long-term advantage.<\/jats:p>\n <\/jats:sec>\n \n Practical implications<\/jats:title>\n Executives can apply this framework to strategically develop network positions, build data resource and utilization capabilities, improve decision-making systems and foster customer-centric innovation ecosystems to achieve superior organizational performance. The findings provide actionable insights for senior managers seeking to justify and optimize returns on analytics investments.<\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n This research is among the first to empirically demonstrate how managerial practices can leverage network positions to enhance enterprise data capabilities and drive value creation. By revealing the pathways that link network-enabled resources to business outcomes, we offer a strategic roadmap for achieving competitive advantage through big data.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/jeim-02-2025-0111","type":"journal-article","created":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T06:17:11Z","timestamp":1758089831000},"page":"532-561","source":"Crossref","is-referenced-by-count":2,"title":["A network-enabled framework for\u00a0big\u00a0data-driven customer innovation: antecedents, mechanisms and performance outcomes"],"prefix":"10.1108","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8849-5719","authenticated-orcid":true,"given":"Hsiu-Wen","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Business Administration, Soochow University \u2013 Waishuanghsi Campus , ,","place":["Taipei, Taiwan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-6176-1397","authenticated-orcid":true,"given":"Han","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Business Administration, Soochow University \u2013 Waishuanghsi Campus , ,","place":["Taipei, Taiwan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6051-8213","authenticated-orcid":true,"given":"Chia-Wen","family":"Chang","sequence":"additional","affiliation":[{"name":"Department of International Business, National Taipei University of Business , ,","place":["Taipei, Taiwan"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"140","published-online":{"date-parts":[[2025,8,25]]},"reference":[{"issue":"2","key":"2026030523015320100_ref001","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1108\/mrr-10-2017-0363","article-title":"Lean management and innovation performance: evidence from international manufacturing companies","volume":"42","author":"Abdallah","year":"2019","journal-title":"Management Research Review"},{"issue":"1","key":"2026030523015320100_ref002","doi-asserted-by":"publisher","first-page":"17","DOI":"10.2307\/4134367","article-title":"Social capital: prospects for a new concept","volume":"27","author":"Adler","year":"2002","journal-title":"Academy of Management Review"},{"issue":"3","key":"2026030523015320100_ref003","doi-asserted-by":"publisher","first-page":"425","DOI":"10.2307\/2667105","article-title":"Collaboration networks, structural holes, and innovation: a longitudinal study","volume":"45","author":"Ahuja","year":"2000","journal-title":"Administrative Science Quarterly"},{"key":"2026030523015320100_ref004","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.ijpe.2016.08.018","article-title":"How to improve firm performance using big data analytics capability and business strategy alignment?","volume":"182","author":"Akter","year":"2016","journal-title":"International Journal of Production Economics"},{"issue":"11-12","key":"2026030523015320100_ref005","doi-asserted-by":"publisher","first-page":"1011","DOI":"10.1080\/09537287.2016.1267411","article-title":"Why PLS-SEM is suitable for complex modelling? 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