Digital Transformation and Organizational Performance in Chinese Retail SMEs: Unpacking the Mediating Role of Organizational Resilience

Purpose: Retail SMEs in China operate in a highly volatile digital commerce ecosystem with rapidly shifting consumer demand, intense platform-based competition, and frequent technological and regulatory changes. This study examines how digital transformation (DT) improves firm performance by strengthening organizational resilience (OR) and whether environmental dynamism (ED) moderates the resilience–performance relationship.
Design/methodology/approach: A quantitative survey was conducted with retail SMEs, and the conceptual model was tested using PLS-SEM to assess measurement properties and estimate direct, mediating, and moderating effects.
Findings: The results show that DT directly improves firm performance and significantly enhances OR, indicating that digital initiatives in retail SMEs create value by boosting efficiency, market responsiveness, and the ability to withstand shocks and adapt quickly. OR partially mediates the DT–performance link, showing that resilience is a key capability through which DT yields superior business outcomes. ED positively moderates the OR–performance relationship, meaning that the performance benefits of organizational resilience increase under high market and technological volatility.
Research limitations/implications: This study uses cross-sectional, self-reported data, limiting causal inference and potentially introducing common method bias. Future research should apply longitudinal or multi-source designs and examine additional mechanisms (e.g., organizational agility, innovation capability) and contextual contingencies (e.g., competitive intensity, regulatory turbulence).
Practical implications: For managers of Chinese retail SMEs, the findings highlight the need to prioritize DT initiatives that improve real-time environmental sensing, speed up data-driven decisions, and enable rapid operational reconfiguration—dynamic capabilities that underpin resilience in highly volatile retail settings. Policymakers can strengthen these SMEs’ competitiveness by offering targeted capability-building programs (e.g., digital literacy, data analytics training, resilience-focused technology upgrades) and by enhancing digital infrastructure and governance to reduce excessive environmental uncertainty for small retailers.
Originality/value: This study extends understanding of DT in retail SMEs by explaining when and how DT improves performance: it identifies OR as a central capability mechanism and ED as a key boundary condition in a dynamic, platform-mediated retail context.

Digital transformation, Organizational resilience, Small and medium-sized retail enterprises, Environmental dynamism

1. Ab Hamid, M. R., Sami, W., & Mohmad Sidek, M. H. (2017). Discriminant Validity Assessment: Use of Fornell & Larcker criterion versus HTMT Criterion. Journal of Physics: Conference Series, 890, 012163. https://doi.org/10.1088/1742-6596/890/1/012163 [Google Scholar] [Crossref]

2. Akter, S., Motamarri, S., Hani, U., Shams, R., Fernando, M., Mohiuddin Babu, M., & Ning Shen, K. (2020). Building dynamic service analytics capabilities for the digital marketplace. Journal of Business Research, 118, 177–188. https://doi.org/10.1016/j.jbusres.2020.06.016 [Google Scholar] [Crossref]

3. Amit, R., & Han, X. (2017). Value Creation through Novel Resource Configurations in a Digitally Enabled World. Strategic Entrepreneurship Journal, 11(3), 228–242. https://doi.org/10.1002/sej.1256 [Google Scholar] [Crossref]

4. Annarelli, A., & Nonino, F. (2016). Strategic and operational management of organizational resilience: Current state of research and future directions. Omega, 62, 1–18. https://doi.org/10.1016/j.omega.2015.08.004 [Google Scholar] [Crossref]

5. Awad, J. A. R., & Martín-Rojas, R. (2024). Digital transformation influence on organisational resilience through organisational learning and innovation. Journal of Innovation and Entrepreneurship, 13(1), 69. https://doi.org/10.1186/s13731-024-00405-4 [Google Scholar] [Crossref]

6. Becker, J.-M., Klein, K., & Wetzels, M. (2012). Hierarchical latent variable models in PLS-SEM: Guidelines for using reflective-formative type models. Long Range Planning, 45(5–6), 359–394. https://doi.org/10.1016/j.lrp.2012.10.001 [Google Scholar] [Crossref]

7. Bhatt, S. R. (2025). The impact of digital transformation on organizational resilience in Nepalese SMEs: The mediating role of entrepreneurial orientation. Journal of Business and Management, 9(I), 88–104. https://doi.org/10.3126/jbm.v9iI.81191 [Google Scholar] [Crossref]

8. Browder, R. E., Dwyer, S. M., & Koch, H. (2024). Upgrading adaptation: How digital transformation promotes organizational resilience. Strategic Entrepreneurship Journal, 18(1), 128–164. (1 📊). https://doi.org/10.1002/sej.1483 [Google Scholar] [Crossref]

9. Bughin, J. (2024). Resilience and performance: Capturing their synergy for ongoing success. Journal of Business Strategy, 45(2), 124–132. https://doi.org/10.1108/JBS-07-2022-0114 [Google Scholar] [Crossref]

10. Cenfetelli, R. T., & Bassellier, G. (2009). Interpretation of formative measurement in information systems research. MIS Quarterly, 689–707. https://doi.org/10.2307/20650323 [Google Scholar] [Crossref]

11. Chanias, S., Myers, M. D., & Hess, T. (2019). Digital transformation strategy making in pre-digital organizations: The case of a financial services provider. The Journal of Strategic Information Systems, 28(1), 17–33. https://doi.org/10.1016/j.jsis.2018.11.003 [Google Scholar] [Crossref]

12. Chin, W. W. (1998). Commentary: Issues and opinion on structural equation modeling. In MIS quarterly (pp. vii–xvi). JSTOR. https://www.jstor.org/stable/249674 [Google Scholar] [Crossref]

13. Cohen, J. (2013). Statistical power analysis for the behavioral sciences. routledge. https://www.taylorfrancis.com/books/mono/10.4324/9780203771587/statistical-power-analysis-behavioral-sciences-jacob-cohen [Google Scholar] [Crossref]

14. Cui, R., Sun, T., Lu, Z., & Golden, J. (2020). Sooner or Later? Promising Delivery Speed in Online Retail. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3563404 [Google Scholar] [Crossref]

15. Delana, K., Savva, N., & Tezcan, T. (2021). Proactive Customer Service: Operational Benefits and Economic Frictions. Manufacturing & Service Operations Management, 23(1), 70–87. https://doi.org/10.1287/msom.2019.0811 [Google Scholar] [Crossref]

16. Duchek, S. (2020). Organizational resilience: A capability-based conceptualization. Business Research, 13(1), 215–246. (621 📊). https://doi.org/10.1007/s40685-019-0085-7 [Google Scholar] [Crossref]

17. Eisenhardt, K. M., & Martin, J. A. (2017). Dynamic Capabilities: What Are They? In C. E. Helfat (Ed.), The SMS Blackwell Handbook of Organizational Capabilities (1st ed., pp. 341–363). Wiley. https://doi.org/10.1002/9781405164054.ch21 [Google Scholar] [Crossref]

18. Ellström, D., Holtström, J., Berg, E., & Josefsson, C. (2022). Dynamic capabilities for digital transformation. Journal of Strategy and Management, 15(2), 272–286. https://doi.org/10.1108/JSMA-04-2021-0089 [Google Scholar] [Crossref]

19. Etienne Fabian, N., Dong, J. Q., Broekhuizen, T., & Verhoef, P. C. (2024). Business value of SME digitalisation: When does it pay off more? European Journal of Information Systems, 33(3), 383–402. https://doi.org/10.1080/0960085X.2023.2167671 [Google Scholar] [Crossref]

20. Fang, Z. (2025). Microservice-Driven Modular Low-Code Platform for Accelerating SME Digital Transformation. Proceedings of the 2025 International Conference on Economic Management and Big Data Application, 894–898. https://doi.org/10.1145/3770177.3770324 [Google Scholar] [Crossref]

21. Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149–1160. https://doi.org/10.3758/BRM.41.4.1149 [Google Scholar] [Crossref]

22. Feroz, A. K., Zo, H., Eom, J., & Chiravuri, A. (2023). Identifying organizations’ dynamic capabilities for sustainable digital transformation: A mixed methods study. Technology in Society, 73, 102257. https://doi.org/10.1016/j.techsoc.2023.102257 [Google Scholar] [Crossref]

23. Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104 [Google Scholar] [Crossref]

24. Gallego-García, D., Gallego-García, S., & García-García, M. (2021). An Optimized System to Reduce Procurement Risks and Stock-Outs: A Simulation Case Study for a Component Manufacturer. Applied Sciences, 11(21), 10374. https://doi.org/10.3390/app112110374 [Google Scholar] [Crossref]

25. Garzoni, A., De Turi, I., Secundo, G., & Del Vecchio, P. (2020). Fostering digital transformation of SMEs: A four levels approach. Management Decision, 58(8), 1543–1562. https://doi.org/10.1108/MD-07-2019-0939 [Google Scholar] [Crossref]

26. Gillani, F., Chatha, K. A., Jajja, S. S., Cao, D., & Ma, X. (2024). Unpacking Digital Transformation: Identifying key enablers, transition stages and digital archetypes. Technological Forecasting and Social Change, 203, 123335. https://doi.org/10.1016/j.techfore.2024.123335 [Google Scholar] [Crossref]

27. Gouveia, S., De La Iglesia, D., Abrantes, J. L., & Rivero, A. L. (2024). Transforming Strategy and Value Creation Through Digitalization? Administrative Sciences. (6 📊). https://doi.org/10.3390/admsci14110307 [Google Scholar] [Crossref]

28. Guo, Y., Chen, Y., Usai, A., Wu, L., & Qin, W. (2022). Knowledge integration for resilience among multinational SMEs amid the COVID-19: From the view of global digital platforms. J. Knowl. Manag., 27, 84–104. (17 📊). https://doi.org/10.1108/jkm-02-2022-0138 [Google Scholar] [Crossref]

29. Hair, J., & Alamer, A. (2022). Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3), 100027. https://doi.org/10.1016/j.rmal.2022.100027 [Google Scholar] [Crossref]

30. Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Evaluation of Formative Measurement Models. In J. F. Hair, G. T. M. Hult, C. M. Ringle, M. Sarstedt, N. P. Danks, & S. Ray, Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (pp. 91–113). Springer International Publishing. https://doi.org/10.1007/978-3-030-80519-7_5 [Google Scholar] [Crossref]

31. He, T., Liu, W., Shao, X., & Tian, R. G. (2025). Exploring the digital innovation process and outcome in retail platform ecosystems: Disruptive transformation or incremental change. Electronic Commerce Research, 25(1), 465–494. https://doi.org/10.1007/s10660-023-09699-0 [Google Scholar] [Crossref]

32. He, Z., Huang, H., Choi, H., & Bilgihan, A. (2022). Building organizational resilience with digital transformation. Journal of Service Management. (136 📊). https://doi.org/10.1108/josm-06-2021-0216 [Google Scholar] [Crossref]

33. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8 [Google Scholar] [Crossref]

34. Jiang, Y., Ritchie, B. W., & Verreynne, M. (2019). Building tourism organizational resilience to crises and disasters: A dynamic capabilities view. International Journal of Tourism Research, 21(6), 882–900. (224 📊). https://doi.org/10.1002/jtr.2312 [Google Scholar] [Crossref]

35. Kähkönen, A.-K., Evangelista, P., Hallikas, J., Immonen, M., & Lintukangas, K. (2023). COVID-19 as a trigger for dynamic capability development and supply chain resilience improvement. International Journal of Production Research, 61(8), 2696–2715. https://doi.org/10.1080/00207543.2021.2009588 [Google Scholar] [Crossref]

36. Kao, L.-J., Chiu, C.-C., Lin, H.-T., Hung, Y.-W., & Lu, C.-C. (2024). Unveiling the dimensions of digital transformation: A comprehensive taxonomy and assessment model for business. Journal of Business Research, 176, 114595. (3 📊). https://doi.org/10.1016/j.jbusres.2024.114595 [Google Scholar] [Crossref]

37. Karanasios, S., Senyo, P. K., Zorina, A., & Effah, J. (2025). Digital Bricolage and Its Limits: How Microenterprises Undertake Digitalization in Resource-Constrained Environments. Information Systems Research, isre.2023.0193. https://doi.org/10.1287/isre.2023.0193 [Google Scholar] [Crossref]

38. Kock, N. (2020). Harman’s single factor test in PLS-SEM: Checking for common method bias. Data Analysis Perspectives Journal, 2(2), 1–6. [Google Scholar] [Crossref]

39. Kowalski, M., Bernardes, R. C., Gomes, L., & Borini, F. M. (2025). Microfoundations of dynamic capabilities for digital transformation. European Journal of Innovation Management, 28(8), 3717–3746. https://doi.org/10.1108/EJIM-12-2023-1074 [Google Scholar] [Crossref]

40. Li, G., Xue, J., Li, N., & Ivanov, D. (2022). Blockchain-supported business model design, supply chain resilience, and firm performance. Transportation Research Part E: Logistics and Transportation Review, 163, 102773. (91 📊). https://doi.org/10.1016/j.tre.2022.102773 [Google Scholar] [Crossref]

41. Liao, Z., Li, W., Al Mamun, A., Tseng, M.-L., & Helmi Ali, M. (2025). SMEs’ capabilities in relation to resilience, reconfiguration, and flexibility in the supply chain: A moderated mediation model. International Journal of Logistics Research and Applications, 28(12), 2098–2120. https://doi.org/10.1080/13675567.2025.2450365 [Google Scholar] [Crossref]

42. Linnenluecke, M. K. (2017). Resilience in Business and Management Research: A Review of Influential Publications and a Research Agenda. International Journal of Management Reviews, 19(1), 4–30. (935 📊). https://doi.org/10.1111/ijmr.12076 [Google Scholar] [Crossref]

43. Liu, X., Wu, X., Wang, Q., & Zhou, Z. (2022). Entrepreneurial mindfulness and organizational resilience of Chinese SMEs during the COVID-19 pandemic: The role of entrepreneurial resilience. Frontiers in Psychology, 13, 992161. https://doi.org/10.3389/fpsyg.2022.992161 [Google Scholar] [Crossref]

44. MacKenzie, S. B. (2003). The Dangers of Poor Construct Conceptualization. Journal of the Academy of Marketing Science, 31(3), 323–326. https://doi.org/10.1177/0092070303031003011 [Google Scholar] [Crossref]

45. Mandviwalla, M., & Flanagan, R. (2021). Small business digital transformation in the context of the pandemic. European Journal of Information Systems, 30(4), 359–375. https://doi.org/10.1080/0960085X.2021.1891004 [Google Scholar] [Crossref]

46. Mehta, M., Pancholi, G., & Saxena, A. (2024). Organizational resilience and sustainability: A bibliometric analysis. Cogent Business & Management, 11(1), 2294513. (5 📊). https://doi.org/10.1080/23311975.2023.2294513 [Google Scholar] [Crossref]

47. Mikalef, P., Krogstie, J., Pappas, I. O., & Pavlou, P. (2020). Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities. Information & Management, 57(2), 103169. https://doi.org/10.1016/j.im.2019.05.004 [Google Scholar] [Crossref]

48. Mrutzek, B., Kotzab, H., & Galipoglu, E. (2020). The Omnichannel Retailing Capabilities Wheel: Findings of the Literature. In M. Freitag, H.-D. Haasis, H. Kotzab, & J. Pannek (Eds.), Dynamics in Logistics (pp. 204–214). Springer International Publishing. https://doi.org/10.1007/978-3-030-44783-0_20 [Google Scholar] [Crossref]

49. Oduro, S., De Nisco, A., & Mainolfi, G. (2023). Do digital technologies pay off? A meta-analytic review of the digital technologies/firm performance nexus. Technovation, 128, 102836. (52 📊). https://doi.org/10.1016/j.technovation.2023.102836 [Google Scholar] [Crossref]

50. Omoush, K. S. A., Lassala, C., & Ribeiro-Navarrete, S. (2023). The role of digital business transformation in frugal innovation and SMEs’ resilience in emerging markets. International Journal of Emerging Markets. (35 📊). https://doi.org/10.1108/ijoem-12-2022-1937 [Google Scholar] [Crossref]

51. Orero-Blat, M., Palacios-Marqués, D., Leal-Rodríguez, A. L., & Ferraris, A. (2025). Beyond digital transformation: A multi-mixed methods study on big data analytics capabilities and innovation in enhancing organizational performance. Review of Managerial Science, 19(2), 649–685. https://doi.org/10.1007/s11846-024-00768-8 [Google Scholar] [Crossref]

52. Őri, D., Szabó, I., Kő, A., & Kovács, T. (2024). Digitalizing in crisis: The role of organizational resilience in SMEs’ digitalization. Journal of Enterprise Information Management. (0 📊). https://doi.org/10.1108/JEIM-03-2023-0141 [Google Scholar] [Crossref]

53. Ortiz-de-Mandojana, N., & Bansal, P. (2016). The long-term benefits of organizational resilience through sustainable business practices. Strategic Management Journal, 37(8), 1615–1631. https://doi.org/10.1002/smj.2410 [Google Scholar] [Crossref]

54. Pani, A. K., & Pramanik, H. S. (2020). Digital Transformation of Organizations – Defining an Emergent Construct. In S. K. Sharma, Y. K. Dwivedi, B. Metri, & N. P. Rana (Eds.), Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation (Vol. 618, pp. 511–523). Springer International Publishing. https://doi.org/10.1007/978-3-030-64861-9_45 [Google Scholar] [Crossref]

55. Panichakarn, B., Pochan, J., Shafiq, M., Saleem, I., Wang, Y., & Nazeer, S. (2024). The interplay of digital transformation, agility, environmental volatility, and innovation to spur enterprise performance: Evidence from Chinese electric vehicle firms. Journal of Open Innovation: Technology, Market, and Complexity, 10(4), 100408. https://doi.org/10.1016/j.joitmc.2024.100408 [Google Scholar] [Crossref]

56. Parast, M. M. (2022). Toward a contingency perspective of organizational and supply chain resilience. International Journal of Production Economics, 250, 108667. https://doi.org/10.1016/j.ijpe.2022.108667 [Google Scholar] [Crossref]

57. Peterson, R. A., & Kim, Y. (2013). On the relationship between coefficient alpha and composite reliability. Journal of Applied Psychology, 98(1), 194–198. https://doi.org/10.1037/a0030767 [Google Scholar] [Crossref]

58. Rizana, A. F., Wiratmadja, I. I., & Akbar, M. (2024). Exploring the Role of Digital Transformation for Agile and Resilience Business: A Conceptual Model Based on Dynamic Capabilities View. 2024 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 868–872. https://doi.org/10.1109/IEEM62345.2024.10857225 [Google Scholar] [Crossref]

59. Robertson, J., Botha, E., Walker, B., Wordsworth, R., & Balzarova, M. (2022). Fortune favours the digitally mature: The impact of digital maturity on the organisational resilience of SME retailers during COVID-19. International Journal of Retail & Distribution Management, 50(8/9), 1182–1204. (20 📊). https://doi.org/10.1108/IJRDM-10-2021-0514 [Google Scholar] [Crossref]

60. Sáenz, J., Ortiz de Guinea, A., & Peñalba-Aguirrezabalaga, C. (2022). Value creation through marketing data analytics: The distinct contribution of data analytics assets and capabilities to unit and firm performance. Information & Management, 59(8), 103724. https://doi.org/10.1016/j.im.2022.103724 [Google Scholar] [Crossref]

61. Sahoo, S., Upadhyay, A., & Kumar, A. (2023). Circular economy practices and environmental performance: Analysing the role of big data analytics capability and responsible research and innovation. Business Strategy and the Environment, 32(8), 6029–6046. https://doi.org/10.1002/bse.3471 [Google Scholar] [Crossref]

62. Sarstedt, M., Hair, J. F., Cheah, J.-H., Becker, J.-M., & Ringle, C. M. (2019). How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM. Australasian Marketing Journal, 27(3), 197–211. https://doi.org/10.1016/j.ausmj.2019.05.003 [Google Scholar] [Crossref]

63. Schneider, M. H. G., Kanbach, D. K., Kraus, S., & Dabić, M. (2024). Transform Me If You Can: Leveraging Dynamic Capabilities to Manage Digital Transformation. IEEE Transactions on Engineering Management, 71, 9094–9108. https://doi.org/10.1109/TEM.2023.3319406 [Google Scholar] [Crossref]

64. Sestino, A., Leoni, E., & Gastaldi, L. (2025). Exploring the effects of digital transformation from a dual (internal vs external) marketing management perspective. European Journal of Innovation Management, 28(8), 3619–3647. https://doi.org/10.1108/EJIM-09-2023-0794 [Google Scholar] [Crossref]

65. Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J.-H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347. https://doi.org/10.1108/EJM-02-2019-0189 [Google Scholar] [Crossref]

66. Shojaee, A., Rashed, Md., Islam, M. F., & Vasa, L. (2025). Innovative configurations for organizational resilience: Bridging the proactive and reactive capability in volatile environments. Sustainable Futures, 10, 101236. https://doi.org/10.1016/j.sftr.2025.101236 [Google Scholar] [Crossref]

67. Tahir, Z. (2021). Effectiveness of offline and online rewards in restoring satisfaction and trust. Spanish Journal of Marketing - ESIC, 25(3), 409–424. https://doi.org/10.1108/SJME-07-2021-0143 [Google Scholar] [Crossref]

68. Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319–1350. (9995 📊). https://doi.org/10.1002/smj.640 [Google Scholar] [Crossref]

69. Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40–49. https://doi.org/10.1016/j.lrp.2017.06.007 [Google Scholar] [Crossref]

70. Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533. https://doi.org/10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z [Google Scholar] [Crossref]

71. Trieu, H. D. X., Nguyen, P. V., Tran, K. T., Vrontis, D., & Ahmed, Z. (2023). Organisational resilience, ambidexterity and performance: The roles of information technology competencies, digital transformation policies and paradoxical leadership. International Journal of Organizational Analysis, 32(7), 1302–1321. (4 📊). https://doi.org/10.1108/IJOA-05-2023-3750 [Google Scholar] [Crossref]

72. Ulmer, M. W., Erera, A., & Savelsbergh, M. (2022). Dynamic service area sizing in urban delivery. OR Spectrum, 44(3), 763–793. https://doi.org/10.1007/s00291-022-00666-z [Google Scholar] [Crossref]

73. Venkata Krishna Pradeep Mattegunta. (2025). Integrated retail ecosystem: The convergence of predictive analytics and omnichannel strategies in modern merchandising. World Journal of Advanced Engineering Technology and Sciences, 15(2), 168–176. https://doi.org/10.30574/wjaets.2025.15.2.0509 [Google Scholar] [Crossref]

74. Verreynne, M.-L., Ford, J., & Steen, J. (2023). Strategic factors conferring organizational resilience in SMEs during economic crises: A measurement scale. International Journal of Entrepreneurial Behavior & Research, 29(6), 1338–1375. (4 📊). https://doi.org/10.1108/IJEBR-07-2022-0681 [Google Scholar] [Crossref]

75. Vial, G. (2021). Understanding digital transformation: A review and a research agenda. Managing Digital Transformation, 13–66. https://doi.org/10.4324/9781003008637-4 [Google Scholar] [Crossref]

76. Volz, F., Münch, C., Küffner, C., & Hartmann, E. (2025). Digital ecosystems and their impact on organizations—A dynamic capabilities approach. International Journal of Management Reviews, 27(3), 398–419. https://doi.org/10.1111/ijmr.12396 [Google Scholar] [Crossref]

77. Vorhies, D. W., & Morgan, N. A. (2005). Benchmarking Marketing Capabilities for Sustainable Competitive Advantage. Journal of Marketing, 69(1), 80–94. (1657 📊). https://doi.org/10.1509/jmkg.69.1.80.55505 [Google Scholar] [Crossref]

78. Xia, J., Wu, Z., & Chen, B. (2022). How digital transformation improves corporate environmental management: A review and research agenda. Frontiers in Environmental Science, 10, 943843. https://doi.org/10.3389/fenvs.2022.943843 [Google Scholar] [Crossref]

79. Zhang, J., Long, J., & Von Schaewen, A. M. E. (2021). How Does Digital Transformation Improve Organizational Resilience?—Findings from PLS-SEM and fsQCA. Sustainability, 13(20), 11487. (91 📊). https://doi.org/10.3390/su132011487 [Google Scholar] [Crossref]

80. Zhao, Z. (Iggy), Hönigsberg, S., & Mandviwalla, M. (2025). Digital driven success: The digitalization effect on SME performance. Information Technology for Development, 31(4), 1090–1116. https://doi.org/10.1080/02681102.2025.2453213 [Google Scholar] [Crossref]

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