Scientometric Mapping of the Intellectual Landscape of Digital Transformation and Sustainable Supply Chain Innovation

Copyright © Author(s) 2025. All Rights Reserved. Published by GLOBAL PUBLICATION HOUSE. | Int. J. Applied Management Science GPH-International Journal of Applied Management Science (e-ISSN 3050-9688 | Open Access | Peer-Reviewed) Article ID: gph/ijams/2025/2113 Scientometric Mapping of the Intellectual Landscape of Digital Transformation and Sustainable Supply Chain Innovation Kyle Ruskin M. Porazo ORCID: 0009-0003-1993-5826 Affiliation: Industrial Engineering Department, College of Technology and Engineering, Palompon Institute of Technology, Palompon, Leyte. -------------------------------------------------------- Volume: 05 | Issue: 09 | September 2025 | Pages: 01–19 DOI: 10.5281/zenodo.17312490 | www.gphjournal.org -------------------------------------------------------- How to cite: Porazo, K. R. (2025). Scientometric Mapping of the Intellectual Landscape of Digital Transformation and Sustainable Supply Chain Innovation. GPH-International Journal of Applied Management Science, 5(9), 01-13. https://doi.org/10.5281/zenodo.17312490 Page 01 of 19 Scientometric Mapping of the Intellectual Landscape of Digital Transformation and Sustainable Supply Chain Innovation Volume 05 Issue No 09 (2025) Open Access: https://gphjournal.org/index.php/ams Abstract The accelerating convergence of digital transformation and sustainability imperatives is reshaping global supply chains, driving both technological innovation and responsible business practices. This study maps the intellectual structure and thematic evolution of research at the intersection of digital transformation (DT) and sustainable supply chain innovation (SSCI) through a scientometric analysis of 3,680 Scopus-indexed publications from 2003 to 2026. Using bibliometric indicators and visualization tools (VOSviewer and Bibliometrix in R), the study examined publication trends, prolific authors, influential journals, institutional and country contributions, thematic clusters, and collaboration networks. Results reveal a vibrant, globally distributed, and interdisciplinary field, with China leading in publication output and countries such as Germany, Italy, and the United States achieving higher citation impact per publication. Core themes include “digital transformation,” “sustainability,” and “industry 4.0,” while emerging topics such as ESG, carbon performance, and supply chain resilience reflect growing integration of technological and sustainability imperatives. The collaboration network showcases strong intra-European and cross-continental partnerships, aligning directly with the United Nations Sustainable Development Goals (SDG 9, SDG 12, SDG 13, and SDG 17). While the field is thematically mature, opportunities remain in niche areas such as blockchain integration, Industry 5.0 applications, and digital inclusion, offering directions for advancing both research and practice. Keywords Digital Transformation, sustainable development goals, resilience, sustainable supply chain innovation, collaboration networks. Introduction In recent years, the convergence of digital transformation and sustainable supply chain innovation has emerged as a central focus of both academic research and industry practice. Digital technologies, including artificial intelligence (AI), blockchain, Internet of Things (IoT), and advanced analytics, are substantially reconfiguring the architecture and capabilities of global supply chains (Vial, 2019; Marinoiu et.al., 2025). Concurrently, heightened regulatory scrutiny, shifting stakeholder expectations, and international sustainability commitments have intensified pressure on firms to align supply-chain operations with environmental, social, and governance (ESG) objectives. Together, these dynamics have fostered an interdisciplinary research domain that spans operations management, industrial engineering, information systems, sustainability science, and innovation studies (Vial, 2019; Marinoiu et al., 2025). Despite the rapidly expanding literature, the intellectual landscape of this field remains fragmented; differing disciplinary lenses, inconsistent terminology, and heterogeneous research priorities complicate efforts to synthesize findings and locate coherent research agendas. Consequently, systematic insights into the domain’s core themes, leading contributors, collaborative networks, and nascent trends are still limited (Seuring & Müller, 2008; Vial, 2019). 02 Porazo, K. R. (2025). Scientometric Mapping of the Intellectual Landscape of Digital Transformation and Sustainable Supply Chain Innovation. GPH-International Journal of Applied Management Science, 5(9), 01-13. https://doi.org/10.5281/zenodo.17312490 © GPH-International Journal of Applied Management Science | www.gphjournal.org To address this gap, this present study conducts a scientometric mapping of the literature at this intersection. Using established bibliometric techniques, including co-authorship, co-citation, and keyword co-occurrence analyses and leveraging visualization and science-mapping tools such as VOSviewer and Bibliometrix, the study delineates the field’s intellectual architecture and thematic evolution. Analyzing a comprehensive dataset extracted from major bibliographic databases, the research identifies the most influential publications, authors, journals, and research clusters that have shaped the emergence of digital transformation and sustainable supply-chain innovation (van Eck & Waltman, 2010; Aria & Cuccurullo, 2017; Marinoiu et al., 2025). In alignment with the study’s aim to uncover the intellectual architecture and evolution of the field, the following research questions guide the analysis: 1. How has the field of digital transformation and sustainable supply chain innovation evolved in terms of publication output and thematic development? 2. Who are the most influential authors, journals, and institutions contributing to the advancement of this interdisciplinary field? 3. What are the core research themes, conceptual clusters, and emerging topics that define the scholarly discourse at the intersection of digital transformation and sustainable supply chain innovation? Methods This study adopts a quantitative scientometric research design, which is widely recognized as an effective approach for mapping the intellectual structure and thematic evolution of a research domain (Donthu et al., 2021; Aria & Cuccurullo, 2017). The design focuses on systematically analyzing bibliometric metadata to uncover publication trends, influential authors, research fronts, and patterns of scholarly collaboration. Scientometric mapping enables the identification of conceptual clusters, thematic trajectories, and intellectual foundations, providing a data-driven understanding of the domain’s development (van Eck & Waltman, 2010). The study was conceptualized and executed on August 7, 2025, ensuring a fixed temporal reference point for data collection and analysis. The bibliometric dataset was retrieved from the Scopus database, a leading source of peerreviewed scientific literature known for its breadth, citation tracking, and multidisciplinary coverage (Mongeon & Paul-Hus, 2016). Data extraction was conducted on August 7, 2025, to ensure replicability. The dataset included comprehensive bibliographic metadata such as authorship details, article titles, publication years, source titles, document types, citation counts, DOIs, author affiliations, publishers, indexed keywords, and complete lists of cited references. This ensured that both descriptive and relational bibliometric analyses could be performed with high accuracy. Search Strategy A structured Boolean search strategy was developed to ensure comprehensive retrieval while minimizing irrelevant results. The exact phrases "Digital Transformation", "Sustainable Supply 03 Scientometric Mapping of the Intellectual Landscape of Digital Transformation and Sustainable Supply Chain Innovation Volume 05 Issue No 09 (2025) Open Access: https://gphjournal.org/index.php/ams Chain Management", and "Supply Chain Innovation" were used with Boolean operators (AND / OR) to capture records containing at least one of these terms in article titles or author keywords. Abstracts were also included in the search scope, acknowledging that keyword occurrence in abstracts does not always guarantee direct thematic relevance. The search covered all available publication years up to January 2025, without restrictions on language, document type, or journal category. This inclusive approach aligns with best practices in bibliometric research to avoid temporal or disciplinary bias (Zupic & Čater, 2015). Data Analysis The analysis employed bibliometric and scientometric techniques to capture both descriptive and relational dimensions of the research domain. At the descriptive level, metrics such as annual publication trends, prolific authors, highly cited papers, leading journals, institutional productivity, and country-level contributions were assessed. Citation indicators, including total citations and hindex values, were calculated to measure academic influence. To comprehensively map the intellectual and thematic landscape of the field, multiple bibliometric techniques were employed. Co-authorship analysis was conducted to examine patterns of scholarly collaboration across authors, institutions, and countries, providing insights into the structure and dynamics of research networks. Keyword co-occurrence analysis was utilized to identify dominant research topics, conceptual linkages, and thematic clusters, thereby revealing the conceptual foundations of the domain. In addition, bibliographic coupling was applied to detect emerging research fronts by identifying recently published works that share common references. A thematic evolution analysis was also undertaken to trace longitudinal shifts in research focus and thematic priorities over time. These analytical procedures were implemented using VOSviewer (van Eck & Waltman, 2010) and Bibliometrix in R (Aria & Cuccurullo, 2017), both of which are widely recognized and extensively applied tools for science mapping. Procedure The bibliometric study followed a systematic and replicable methodological framework to ensure rigor, transparency, and validity in mapping the intellectual structure and thematic evolution of research at the intersection of digital transformation and sustainable supply chain innovation. First, the research scope and objectives were clearly defined to capture the thematic overlap between these two domains. A carefully designed search strategy was developed, employing Boolean operators and exact phrase matching to maintain term integrity and precision in retrieval. Data were extracted from the Scopus database on August 7, 2025, ensuring comprehensive coverage of peer-reviewed publications relevant to the topic. The extracted dataset underwent a rigorous cleaning process, which involved removing duplicate records, unifying author and institution names, and standardizing keywords to enhance analytical consistency. Descriptive bibliometric analyses were conducted to identify publication trends, prolific authors, leading institutions, and citation impact, thereby outlining the foundational structure of the field. Subsequently, relational network analyses—including co-authorship, co-citation, bibliographic coupling, and keyword cooccurrence mapping—were applied to visualize collaboration patterns, intellectual linkages, and thematic clusters. A thematic evolution analysis was also performed to trace the longitudinal 04 Porazo, K. R. (2025). Scientometric Mapping of the Intellectual Landscape of Digital Transformation and Sustainable Supply Chain Innovation. GPH-International Journal of Applied Management Science, 5(9), 01-13. https://doi.org/10.5281/zenodo.17312490 © GPH-International Journal of Applied Management Science | www.gphjournal.org development and shifts in scholarly focus over time. Finally, the findings from these quantitative analyses were synthesized to produce an integrated interpretation of the field’s knowledge structure and emerging research directions. This methodological approach is consistent with established scientometric research guidelines, ensuring robustness and replicability (Donthu et al., 2021; Zupic & Čater, 2015). Results As summarized in Table 1, the bibliometric dataset for Digital Transformation and Sustainable Supply Chain Innovation (2003–2026) comprises 3,680 documents drawn from 1,283 distinct sources, supported by 245,086 references. With an average of 25 citations per document and a mean document age of 1.92 years, the corpus reflects both scholarly relevance and recency. Thematic diversity is evidenced by 8,868 Keywords Plus and 7,642 author-supplied keywords, capturing the field’s multidimensional scope. Contributions from 9,120 authors, including 258 single-authored works, reveal a predominantly collaborative structure, with a mean of 3.47 coauthors per document and an international collaboration rate of 30.35%, underscoring the field’s global and interdisciplinary character. Publication formats are dominated by journal articles (2,467), followed by conference papers (579) and book chapters (284), complemented by 267 reviews that consolidate emerging knowledge. The relatively low occurrence of retracted works and other non-research formats affirms the field’s academic integrity (Tiwari, S., & Goel, R., 2025). Overall, the dataset depicts a vibrant, collaborative, and thematically rich research landscape actively shaping the integration of digital transformation into sustainable supply chain innovation. Table 1. Descriptive Bibliometric Profile of Research on Digital Transformation and Sustainable Supply Chain Innovation. DESCRIPTION RESULTS Main Information About Data Timespan 2003:2026 Sources (Journals, Books, etc.) 1283 Documents 3680 Annual Growth Rate % 0 Document Average Age 1.92 Average citations per doc 25 References 245086 DOCUMENT CONTENTS Keywords Plus (ID) 8868 Author’s Keywords (DE) 7642 AUTHORS Authors 9120 05 Scientometric Mapping of the Intellectual Landscape of Digital Transformation and Sustainable Supply Chain Innovation Volume 05 Issue No 09 (2025) Open Access: https://gphjournal.org/index.php/ams Authors of single-authored docs 258 AUTHORS COLLABORATION Single-authored docs 276 Co-Authors per doc 3.47 International co-authorships % 30.35 DOCUMENT TYPES article 2467 book 62 book chapter 284 conference paper 579 conference review 7 editorial 4 erratum 1 note 4 retracted 3 review 267 short survey 2 Figure 1 shows the global scientometric map of digital transformation and sustainable supply chain innovation, revealing that China is the leading contributor, producing the highest number of publications in this domain, consistent with prior bibliometric analyses highlighting its dominance in digitalization and sustainability research output (Wang et al., 2023). Other notable contributors include India, Brazil, the United States, and several European countries such as Germany, Italy, and Finland, which, although producing fewer papers than China, demonstrate higher citation impact per publication, suggesting greater research quality and influence (Wang et al., 2023; Zhang et al., 2024). The map also illustrates regional collaboration patterns, with strong intra-European networks and significant cross-continental ties between the United States, Europe, and Asia, echoing previous findings on global collaboration structures in sustainability-oriented 06 Porazo, K. R. (2025). Scientometric Mapping of the Intellectual Landscape of Digital Transformation and Sustainable Supply Chain Innovation. GPH-International Journal of Applied Management Science, 5(9), 01-13. https://doi.org/10.5281/zenodo.17312490 © GPH-International Journal of Applied Management Science | www.gphjournal.org technological research (Zhang et al., 2024). In contrast, lighter-shaded regions in Africa, parts of Latin America, and the Middle East indicate underrepresentation, underscoring persistent disparities in research capacity and offering opportunities for targeted capacity building and South–South collaborations (Li et al., 2024). Figure 1. Global Distribution of Research Output on Digital Transformation and Sustainable Supply Chain Innovation. Table 2 shows the intellectual landscape of digital transformation and sustainable supply chain innovation, leading contributors demonstrate distinct profiles in research productivity and scholarly influence. Frank, A.G. emerges as the most prolific and impactful author, producing 19 publications (14% of total) with the highest total citations (5,095) and average citations per paper (268.2), while Ghobakhloo, M. follows closely with slightly fewer publications (18) but a higher hindex (13), reflecting consistently cited work. Other authors, such as Caiado, R.G.G., and Deschamps, F., display moderate productivity but comparatively lower citation impact, underscoring the uneven relationship between output and influence. These variations highlight the importance of using multiple bibliometric indicators TP, TC, ACP, and h-index—to obtain a balanced understanding of scholarly performance (Hirsch, 2005; Donthu et al., 2021). Interpreting these metrics through a sensemaking lens scanning for patterns, sensing their implications, and substantiating conclusions provides deeper insights into the dynamics shaping research contributions in this emerging field (Lim & Kumar, 2024). 07 Scientometric Mapping of the Intellectual Landscape of Digital Transformation and Sustainable Supply Chain Innovation Volume 05 Issue No 09 (2025) Open Access: https://gphjournal.org/index.php/ams Table 2. Top Contributing Authors and Their Scholarly Impact in Digital Transformation and Sustainable Supply Chain Innovation AUTHOR’S NAME AFFILIATION TP (%) TC ACP H-INDEX RANK Frank, A.G. Universidade Federal do Rio Grande do Sul 19 (14%) 5,095 268.2 11 1st Ghobakhloo, M. Uppsala Universitet 18 (13%) 3,247 180.4 13 2nd Caiado, R.G.G. Pontificia Universidade Catolica do Rio de Janerio 15 (11%) 259 17.3 7 3rd Gunasekaran, A. Penn State Harrisburg 15 (11%) 966 64.4 11 4th Benitez, G.B. Oxford Brookes Pontificia Universidade Catolica do Rio de Parana 14 (10%) 2050 146.4 7 5th Deschamps, F. Pontificia Universidade Catolica do Rio de Parana 14 (10%) 98 7.0 3 6th Raut, R.D. Indian Institute of Management Mumbai 11 (8%) 547 49.7 8 7th Tortorella, G.L. University of Melbourne 11 (8%) 160 14.5 8 8th Deveci, M. Milli Savunma Universitesi 10 (7%) 160 16 8 9th Iranmanesh, M. Edith Cowan University 10 (7%) 143 14.3 4 10th Legend: TP – Total Publications; TC – Total Citations; ACP – Average Citations per Publication Figure 2(a) highlights Politecnico di Milano as the leading contributor to research on digital transformation (DT) and sustainable supply chain innovation (SSCI), with 72 publications, reflecting its established reputation as a hub for innovation management and Industry 4.0 research (Li et al., 2024). Jiangsu University (56 publications) and Universidade Federal do Rio Grande do Sul (55 publications) follow closely, demonstrating strong engagement from both Asian and South American academic institutions in advancing the integration of digital technologies with sustainable supply chain practices. Mid-tier contributors such as Istanbul Technical University (42), The Hong Kong Polytechnic University (40), and LUT University (39) represent diverse geographic regions, underscoring the field’s global scope and multidisciplinary character (Wang et al., 2023; Zhang et al., 2024). Notably, institutions like the University of Johannesburg, Wuhan University, and South China University of Technology maintain steady output (37–38 publications), indicating an active yet regionally focused contribution to the field. Emerging research hubs such as Bina Nusantara University also appear in the ranking, signaling the increasing participation of Southeast Asian institutions in DT–SSCI scholarship. The diversity in geographic representation mirrors broader bibliometric trends showing that while Europe and Asia lead in total research output, contributions from Latin America and Africa are gaining momentum, potentially fostering new regional perspectives and collaborative opportunities (Donthu et al., 2021; Li et al., 2024). 08 Porazo, K. R. (2025). Scientometric Mapping of the Intellectual Landscape of Digital Transformation and Sustainable Supply Chain Innovation. GPH-International Journal of Applied Management Science, 5(9), 01-13. https://doi.org/10.5281/zenodo.17312490 © GPH-International Journal of Applied Management Science | www.gphjournal.org Figure 2(a). Top Contributing Institutions in the Scholarly Domain of Digital Transformation and Sustainable Supply Chain Innovation. Figure 3 captures the temporal analysis of high-frequency terms in Digital Transformation and Sustainable Supply Chain Innovation research, revealing the evolution and thematic consolidation of the field over the past decade. Core terms such as “digital transformation,” “digitization,” “sustainability,” and “industry 4.0” dominate recent discourse, with significant frequency peaks occurring between 2021 and 2024, indicating their centrality to contemporary scholarship. Emerging themes such as “supply chain resilience,” “green development,” and “security of data” highlight a growing emphasis on resilience, environmental considerations, and cybersecurity within digitally enabled supply chains. The sustained presence of managerial and operational concepts such as “chain management,” “decision making,” and “business intelligence” reflects the integration of strategic and analytical perspectives into technological transformation frameworks. The clustering of term emergence in recent years suggests a rapid thematic expansion aligned with global supply chain disruptions and accelerated digital adoption, underscoring the interdisciplinary and adaptive nature of the research domain. 09 Scientometric Mapping of the Intellectual Landscape of Digital Transformation and Sustainable Supply Chain Innovation Volume 05 Issue No 09 (2025) Open Access: https://gphjournal.org/index.php/ams Figure 7. Conceptual Structure of Digital Transformation and Sustainable Supply Chain Innovation. Discussion The findings of this study reveal a rapidly evolving, multidisciplinary research field situated at the intersection of digital transformation (DT) and sustainable supply chain innovation (SSCI). The observed growth in publication volume, coupled with high thematic diversity, underscores the increasing scholarly recognition of DT as both an enabler and driver of sustainability in supply chains (Vial, 2019; Wang et al., 2023). Authorand institution-level analyses indicate a dual research structure in which a small cohort of highly cited scholars and globally recognized institutions shape the theoretical foundations, while a broader network of contributors disseminates practical and context-specific insights (Lotka, 1926; Donthu et al., 2021). This aligns with earlier bibliometric studies suggesting that global collaboration is essential for advancing interdisciplinary domains such as DT–SSCI (Zhang et al., 2024; Li et al., 2024). The thematic mapping further illustrates the field’s conceptual maturity, with core themes such as “digital transformation,” “sustainability,” and “industry 4.0” exhibiting strong centrality and density. At the same time, emerging topics like “ESG,” “supply chain resilience ”and“ carbon performance” reflect a shift toward integrating socio-environmental imperatives into digital strategies, likely in response to post-pandemic disruptions and climate change imperatives (Queiroz et al., 2019; Zhang et al., 2024). These thematic directions are directly aligned with multiple United Nations 16 Porazo, K. R. (2025). Scientometric Mapping of the Intellectual Landscape of Digital Transformation and Sustainable Supply Chain Innovation. GPH-International Journal of Applied Management Science, 5(9), 01-13. https://doi.org/10.5281/zenodo.17312490 © GPH-International Journal of Applied Management Science | www.gphjournal.org Sustainable Development Goals (SDGs), particularly SDG 9 (Industry, Innovation, and Infrastructure), which emphasizes fostering resilient infrastructure and innovation; SDG 12 (Responsible Consumption and Production), which advocates sustainable supply chain practices; and SDG 13 (Climate Action), which calls for urgent action to mitigate climate impacts. Additionally, the global collaboration patterns identified in this study support SDG 17 (Partnerships for the Goals), highlighting the importance of cross-border and interdisciplinary partnerships in accelerating the adoption of sustainable digital practices. Conclusion This scientometric mapping has provided a comprehensive overview of the intellectual structure, thematic evolution, and collaborative networks defining research on digital transformation and sustainable supply chain innovation. The analysis reveals a vibrant, collaborative, and thematically integrated field anchored by core digital and sustainability themes, yet still evolving to incorporate emergent priorities such as ESG performance, resilience, and technological inclusivity. By identifying influential scholars, institutions, and thematic clusters, the study offers a strategic foundation for advancing both academic inquiry and practical implementation. Strengthening global collaborations, diversifying regional representation, and fostering niche research directions will be critical to sustaining the momentum of this interdisciplinary domain in addressing the twin imperatives of technological advancement and sustainable development. References Aria, M., & Cuccurullo, C. 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