Customer Engagement in Service Ecosystems: A Bibliometric and Thematic Analysis of Emerging Innovation Perspectives

Authors

Suhaily Mohd-Ramly

Institute of Graduate Studies, Universiti Poly-Tech Malaysia, 56100 Kuala Lumpur (Malaysia)

Norasiah Omar

Faculty of Economics and Management, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2026.100500411

Subject Category: Marketing

Volume/Issue: 10/5 | Page No: 6126-6150

Publication Timeline

Submitted: 2026-05-12

Accepted: 2026-05-18

Published: 2026-06-03

Abstract

This study maps the intellectual structure and thematic evolution of customer engagement (CE) research within service ecosystems, tracing its shift from firm-centric to ecosystem-based and innovation-driven perspectives through a longitudinal bibliometric approach. A total of 1,139 peer-reviewed publications indexed in the Scopus database were analyzed using a systematic search strategy. Data cleaning and standardization were performed using biblioMagika® and OpenRefine to ensure consistency in author keywords, source titles, and bibliographic records. Bibliometric techniques, including performance analysis, co-occurrence analysis, thematic mapping, and thematic evolution analysis, were implemented using R-Biblioshiny and IIP Maps. The findings reveal that CE research has experienced sustained growth, with notable acceleration after 2019 reflecting increasingly scholarly interest in engagement as a dynamic and multidimensional concept. CE and loyalty form the field’s conceptual core, highlighting the continued importance of relational outcomes in service research. At the same time, emerging digital themes, particularly artificial intelligence (AI), immersive platforms, digital service innovation, and technology-enabled interactions, signal a shift toward innovation-enabled, ecosystem-oriented engagement. Thematic evolution further indicates a transition from relationship-based and customer-focused perspectives toward multi-actor, technology-embedded, and value co-creation perspectives within broader service ecosystems. This study contributes to the CE literature by providing a structured overview of key research trends, dominant themes, and emerging innovation perspectives. It also offers insights for scholars seeking to position future studies within the evolving CE knowledge domain. By integrating co-occurrence, thematic mapping, and thematic evolution analyses, this study provides a theory-informed, longitudinal overview of CE research that informs future innovation-oriented theory and research. The study is limited to publications indexed in Scopus and focuses on structural patterns rather than detailed content analysis. Future research could integrate multiple databases and qualitative approaches to extend these insights.

Keywords

Customer Engagement, Service Ecosystems, Bibliometric Analysis, Thematic Mapping, Innovation Research

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References

1. Ahmi, A. (2023). OpenRefine: An approachable tool for cleaning and harmonizing bibliographical data. AIP Conference Proceedings, 11th International Conference on Applied Science and Technology 2022, Putrajaya, Malaysia, 13 - 14 June 2022. [Google Scholar] [Crossref]

2. Ahmi, A. (2026). BiblioMagika. https://bibliomagika.com [Google Scholar] [Crossref]

3. Anderson, L. C., Lyons, K., & Sawatani, Y. (2020). Research approaches to service innovation: Organizational perspectives. Advances in Intelligent Systems and Computing, 1208 AISC, 43–49. [Google Scholar] [Crossref]

4. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. [Google Scholar] [Crossref]

5. Bansal, R., & Pruthi, N. (2025). Insights from bibliometric analysis on customer engagement in the banking industry. International Journal of Electronic Marketing and Retailing, 16(5), 516–539. [Google Scholar] [Crossref]

6. Bhandari, A., & Sinha, M. (2025). Towards the underlying theories of artificial intelligence in customer engagement: A review and future research agenda. In Marketing Intelligence, Part B (pp. 233–264). Emerald Publishing Limited. [Google Scholar] [Crossref]

7. Bijmolt, T. H. A., Leeflang, P. S. H., Block, F., Eisenbeiss, M., Hardie, B. G. S., Lemmens, A., & Saffert, P. (2010). Analytics for customer engagement. Journal of Service Research, 13(3), 341–356. [Google Scholar] [Crossref]

8. Bowden, J. (2009a). Customer engagement: A framework for assessing customer-brand relationships: The case of the restaurant industry. Journal of Hospitality Marketing & Management, 18(6), 574–596. [Google Scholar] [Crossref]

9. Bowden, J. (2009b). The process of customer engagement: A conceptual framework. Journal of Marketing Theory and Practice, 17(1), 63–74. [Google Scholar] [Crossref]

10. Brodie, R. J., Fehrer, J. A., Jaakkola, E., & Conduit, J. (2019). Actor Engagement in Networks: Defining the Conceptual Domain. Journal of Service Research, 22(2), 173–188. [Google Scholar] [Crossref]

11. Brodie, R. J., & Hollebeek, L. D. (2011). Advancing and consolidating knowledge about customer engagement. Journal of Service Research, 14(3), 283–284. [Google Scholar] [Crossref]

12. Brodie, R. J., Saren, M., & Pels, J. (2011). Theorizing about the service dominant logic: The bridging role of middle range theory. Marketing Theory, 11(1), 75–91. [Google Scholar] [Crossref]

13. Callon, M., Courtial, J. P., & Laville, F. (1991). Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemsitry. Scientometrics, 22(1), 155–205. [Google Scholar] [Crossref]

14. Chen, J., & Huang, I. (2012). Customer engagement and service innovation. Proceedings of the International Conference on Electronic Business (ICEB). [Google Scholar] [Crossref]

15. Chen, J. S., Weng, H. H. (Robin), & Huang, C. L. (2018). A multilevel analysis of customer engagement, its antecedents, and the effects on service innovation. Total Quality Management and Business Excellence, 29(3–4), 410–428. [Google Scholar] [Crossref]

16. Donthu, N., Kumar, S., Pandey, Neeraj, Pandey, Nitesh, & Mishra, A. (2021). Mapping the electronic word-of-mouth (eWOM) research: A systematic review and bibliometric analysis. Journal of Business Research, 135, 758–773. [Google Scholar] [Crossref]

17. Finsterwalder, J. (2018). A 360-degree view of actor engagement in service co-creation. Journal of Retailing and Consumer Services, 40, 276–278. [Google Scholar] [Crossref]

18. Gummerus, J., Liljander, V., Weman, E., & Pihlström, M. (2012). Customer engagement in a Facebook brand community. Management Research Review, 35(9), 857–877. [Google Scholar] [Crossref]

19. Harmeling, C. M., Moffett, J. W., Arnold, M. J., & Carlson, B. D. (2016). Toward a theory of customer engagement marketing. Journal of the Academy of Marketing Science 2016 45:3, 45(3), 312–335. [Google Scholar] [Crossref]

20. Harmeling, C. M., Moffett, J. W., & Palmatier, R. W. (2018). Conclusion: Informing customer engagement marketing and future Research. In Customer Engagement Marketing (pp. 307–323). Springer International Publishing. [Google Scholar] [Crossref]

21. Harrigan, P., Miles, M. P., & Daly, T. M. (2016). Customer engagement with tourism social media brands. Tourism Management, 59(September 2017), 597–609. [Google Scholar] [Crossref]

22. Hollebeek, L. D., & Andreassen, T. W. (2018). The S-D logic-informed “hamburger” model of service innovation and its implications for engagement and value. Journal of Services Marketing, 32(1), 1–7. [Google Scholar] [Crossref]

23. Hollebeek, L. D., Keeling, D. I., & de Ruyter, K. (2022). Customer engagement design in industrial innovation. Industrial Marketing Management, 106, 83–89. [Google Scholar] [Crossref]

24. Hollebeek, L. D., Srivastava, R. K., & Chen, T. (2019). S-D logic–informed customer engagement: integrative framework, revised fundamental propositions, and application to CRM. Journal of the Academy of Marketing Science, 47(1), 161–185. [Google Scholar] [Crossref]

25. Islam, J. U., & Rahman, Z. (2016). The transpiring journey of customer engagement research in marketing: A systematic review of the past decade. Management Decision, 54(8), 2008–2034. [Google Scholar] [Crossref]

26. Kaur, G., Deshwal, P., & Dangi, H. K. (2023). Customer engagement: A systematic review and future research agenda. International Journal of Internet Marketing and Advertising, 18(2/3), 148. https://doi.org/10.1504/IJIMA.2023.129659 [Google Scholar] [Crossref]

27. Kim, K. H., Ko, E., Kim, S. J., & Jiang, Q. (2021). Digital service innovation, customer engagement, and customer equity in AR marketing. Journal of Global Scholars of Marketing Science, 31(3), 453–466. [Google Scholar] [Crossref]

28. Kumar, R. P., Banerjee, A., Al-Salti, Z., & Ananda, S. (2024). Technology acceptance model and customer engagement: Mediating role of customer satisfaction. Journal of Financial Services Marketing, 29(3), 1062–1076. [Google Scholar] [Crossref]

29. Leckie, C., Nyadzayo, M. W., & Johnson, L. W. (2019). Customer engagement and organizational performance: A service-dominant logic perspective. In Handbook of Research on Customer Engagement (pp. 311–328). Edward Elgar Publishing Ltd. [Google Scholar] [Crossref]

30. Lim, W. M., & Rasul, T. (2022). Customer engagement and social media: Revisiting the past to inform the future. Journal of Business Research, 148, 325–342. [Google Scholar] [Crossref]

31. Marvi, R., Foroudi, P., & Jerez, M. J. (2024). A bibliometric review of customer engagement in the international domain: Reviewing the past and the present. Corporate Reputation Review. [Google Scholar] [Crossref]

32. McLean, G., & Wilson, A. (2019). Shopping in the digital world: Examining customer engagement through augmented reality mobile applications. Computers in Human Behavior, 101, 210–224. [Google Scholar] [Crossref]

33. Pansari, A., & Kumar, V. (2017). Customer engagement: The construct, antecedents, and consequences. Journal of the Academy of Marketing Science, 45(3), 294–311. [Google Scholar] [Crossref]

34. Prakash, C., Yadav, R., Dangi, A., & Yadav, M. (2025). Unlocking the power of artificial intelligence for customer engagement: A bibliometric analysis. Marketing Intelligence, Part A: Understanding Customers in the Era of Digitalization, 1–18. [Google Scholar] [Crossref]

35. Rasool, A., Shah, F. A., & Islam, J. U. (2020). Customer engagement in the digital age: A review and research agenda. Current Opinion in Psychology, 36, 96–100. [Google Scholar] [Crossref]

36. Rasul, T., Nair, S., Palamidovska-Sterjadovska, N., Ladeira, W. J., Santini, F. de O., & Elgammal, I. (2024). The evolution of customer engagement in the digital era for business: A review and future research agenda. Journal of Global Scholars of Marketing Science: Bridging Asia and the World, 34(3), 325–348. [Google Scholar] [Crossref]

37. Rehman, M. A., Abbas, Z., Rather, R. A., Khalil, M., & Muhammad, S. (2023). Customer engagement and employee engagement, two sides of a coin: Intellectual structures using bibliometric analysis. Handbook of Customer Engagement in Tourism Marketing, 142–157. [Google Scholar] [Crossref]

38. Roopak, R., & Chakrabarti, S. (2025). Framing knowledge structure of customer engagement: A multimethod review. VINE Journal of Information and Knowledge Management Systems, 55(4), 902–950. [Google Scholar] [Crossref]

39. Sharma, A., Gangwar, V. P., Bhattacharyya, A., Giri, U., Chavan, G., & Mahato, S. (2024). Leveraging intelligent process automation for customer engagement in sales and marketing (pp. 435–458). [Google Scholar] [Crossref]

40. Srivastava, M., & Sivaramakrishnan, S. (2022). A bibliometric analysis of the structure and trends of customer engagement in the context of international marketing. International Marketing Review, 39(4), 836–851. [Google Scholar] [Crossref]

41. Suraña-Sánchez, C., & Aramendia-Muneta, M. E. (2024). Impact of artificial intelligence on customer engagement and advertising engagement: A review and future research agenda. International Journal of Consumer Studies, 48(2). [Google Scholar] [Crossref]

42. Treves, L., Pynnönen, M., & Immonen, M. (2026). Unveiling the dynamics of product service systems: insights from digital platform ecosystems and customer engagement perspectives. International Journal of Services and Operations Management, 53(1), 86–105. [Google Scholar] [Crossref]

43. Ubgade, P. N., & Joshi, S. (2023). Evolution of consumer brand engagement in past two decades: A systematic analysis. Vision: The Journal of Business Perspective. [Google Scholar] [Crossref]

44. van Doorn, J., Lemon, K. N., Mittal, V., Nass, S., Pick, D., Pirner, P., & Verhoef, P. C. (2010). Customer engagement behavior: Theoretical foundations and research directions. Journal of Service Research, 13(3), 253–266. [Google Scholar] [Crossref]

45. van Eck, N. J., & Waltman, L. (2014). Visualizing Bibliometric Networks. Measuring Scholarly Impact, 285–320. [Google Scholar] [Crossref]

46. Vargo, S. L., & Lusch, R. F. (2008). Service-dominant logic: Continuing the evolution. Journal of the Academy of Marketing Science, 36(1), 1–10. [Google Scholar] [Crossref]

47. Vargo, S. L., & Lusch, R. F. (2015). Institutions and axioms: an extension and update of service-dominant logic. Journal of the Academy of Marketing Science 2015 44:1, 44(1), 5–23. [Google Scholar] [Crossref]

48. Verhoef, P. C., Reinartz, W. J., & Krafft, M. (2010). Customer engagement as a new perspective in customer management. Journal of Service Research, 13(3), 247–252. [Google Scholar] [Crossref]

49. Visser, M., van Eck, N. J., & Waltman, L. (2021). Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic. Quantitative Science Studies, 2(1), 20–41. [Google Scholar] [Crossref]

50. Vivek, S. D., Beatty, S. E., & Morgan, R. M. (2012). Customer engagement: Exploring customer relationships beyond purchase. Journal of Marketing Theory and Practice, 20(2), 127–145. [Google Scholar] [Crossref]

51. Yuan, S. T. D., Chou, S. Y., Yang, W. C., Wu, C. A., & Huang, C. T. (2017). Customer engagement within multiple new media and broader business ecosystem – a holistic perspective. Kybernetes, 46(6), 1000–1020. [Google Scholar] [Crossref]

52. Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472. [Google Scholar] [Crossref]

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