Digitalization impact on transformations of mass customization concept: conceptual modelling of online customization frameworks

Gedas Baranauskas1
1. Mykolas Romeris University (Lithuania)
120 - 132
Cite as:
Baranauskas, G. (2020). Digitalization Impact on Transformations of Mass Customization Concept: Conceptual Modelling of Online Customization Frameworks. Marketing and Management of Innovations, 3, 120-132.


This paper summarizes the main theoretical points within the scientific discussion on the issue of digitalization in Mass Customization concept and online Mass Customization frameworks. Origins of a stand-alone Mass Customization concept drawback to the second half of the 1990s, but major theoretical content changes and development have been identified in the last 2 decades. An intensive application of combined technology and management solutions, digital society and business transformations in the past decade has shifted the orientation of the concept to intangible products management, customer involvement and mutual value creation via frameworks in the online environment. The main purpose of the research is to reveal and present the role and impact of the digitalization sub-domain to the Mass Customization concept, its transition to the e-concept version and modelling of new combined online customization frameworks. The decision relevance of this scientific problem is multiple issues in transitions of practical organizations to the modern and mixed technological-management approach-based Mass Customization version as well as application limitations of existing online customization frameworks. The analysis of the research topic is carried out in the logical sequence. Firstly, the author presented the influence of the digitalization sub-domain to theoretical transformations of traditional Mass Customization concept. Then, a case study of the organizational transition to electronic Mass Customization and Personalization and online customization frameworks was conducted. Methodological tools and research methods used in the paper have been integrative literature review and narrative synthesis of qualitative findings of 53 articles, and a simplified Robinson conceptual modelling framework together with a c-tuple method for the simulation of new combined online customization frameworks. The research empirically confirms and theoretically proves that within last decade both practical and academic attention to sustainable and agile development of new, fully digital customized products and personalized services as well as flexible online customization frameworks and solutions significantly have increased. Furthermore, here the extent by 6 new online customization frameworks is offered next to 3 standard theoretical online customization frameworks, which became difficult to apply in the environment and preferences of modern e-business organizations and digital end-users. The results of the research can be useful for continuous scientific researches to test and validate 6 new online customization frameworks in a feedback loop part and evaluate the influence of these frameworks to a digital end-user behaviour, their role in frameworks and attitude aspects.

customization, digital, online frameworks, personalization, standardization

  1. Abdallah, A. B., & Matsui, Y. (2009). The Impact of Lean Practices on Mass Customization and Competitive Performance of Mass-Customizing plants. Proceedings of the 20th Annual Production and Operations Management Society (POMS) Conference, 1-30. [Google Scholar] [CrossRef]
  2. AnisIc, Z., Freund, R., & Suzic, N. (2013). Mass customization and personalization in Southeast Europe. 2013 DAAAM International Scientific Book, 389-416. [Google Scholar] [CrossRef]
  3. Baranauskas, G. (2020). Application of Customization and Personalization in Digital Solutions of Non-Life Insurance Market: a Case Study of Lithuanian, Latvian and Estonian E-Sales Platforms. Paper presented at the 31st EBES international conference, April 15-17, 2020 Warsaw, Poland
  4. Brandao, F. J. S, Paio, A., & Whitelaw, C. (2016). Mapping Mass Customization. Proceedings of the 35th eCAADe Conference, 2, 417-424. Retrieved from
  5. Broekhuizen, T. L. J., & Alsem, K. J. (2002). Success Factors for Mass Customization: A Conceptual Model. Journal of Market-Focused Management, 5(4), 309-330. [Google Scholar][CrossRef]
  6. Burke, L. A., & Hutchins, H. M. (2007). Training Transfer: An Integrative Literature Review. Human Resource Development Review, 6(3), 263-296. [Google Scholar] [CrossRef]
  7. Carter, C. M. (2016). The Complete Guide to Generation Alpha, The Children of Millennials. Forbes. Retrieved from
  8. Daaboul, J., Bernard, A., & Laroche, F. (2009). Knowledge Management, Value Chain Modelling and Simulation as Primary Tools for Mass Customization. Paper presented at International Conference on Concurrent Enterprising, Leiben, Netherlands. [Google Scholar] [CrossRef]
  9. Forbes, H., & Schaefer, D. (2017). Social Product Development: The Democratization of Design, Manufacture and Innovation. Procedia CIRP 60, 404-409. [Google Scholar] [CrossRef]
  10. Francis, T., & Hoefel, F. (2018). True Gen': Generation Z and its implications for companies. Mckinsey. Retrieved from
  11. Gandhi, A., Magar, A., &, Roberts, R. (2013). How technology can drive the next wave of mass customization. McKinsey on Business Technology, 32, 1-9. Retrieved from
  12. Gilmore, J. H., & Pine, B. J. (1997). The four faces of mass customization. Harvard business review, 75(1), 91-102. [Google Scholar] [CrossRef]
  13. Grosso, C., & Forza, C. (2019). Users' Social-interaction Needs While Shopping via Online Sales Configurators. International Journal of Industrial Engineering and Management (IJIEM), 10(2), 139-154. [Google Scholar] [CrossRef]
  14. Haag, A. (2017). Managing variants of a personalized product. Journal of Intelligent Information Systems, 49, 59-86. [Google Scholar] [CrossRef]
  15. Haag, A., & Haag, L. (2019). Empowering the use of variant tables in Mass Customization. International Journal of Industrial Engineering and Management, 10(2), 155-170. [Google Scholar][CrossRef]
  16. Hankammer, S., & Steiner, F. (2015). Leveraging the Sustainability Potential of Mass Customization through Product Service Systems in the Consumer Electronics Industry. Procedia CIRP, 30, 504-509. [Google Schoolar] [CrossRef]
  17. Hong, Q. N., Pluye, P., Bujold, M., & Wassef, M. (2017). Convergent and sequential synthesis designs: implications for conducting and reporting systematic reviews of qualitative and quantitative evidence. Systematic Reviews, 6(61), 1-14. [Google Scholar] [CrossRef] 
  18. Hora, M., Hankammer, S., Canetta, L., Sel., S. K., Gomez, S., & Gahrens, S. (2016). Designing Business Models for Sustainable Mass Customization: A Framework Proposal. International Journal of Industrial Engineering and Management, 7(4), 143-152. [Google Scholar]
  19. Hu, S. J. (2013). Evolving Paradigms of Manufacturing: From Mass Production to Mass Customization and Personalization. Procedia CIRP 7, 3-8. [Google Scholar] [CrossRef]
  20. Joergensen, K. A., Brunoe, T. D., Taps, S., & Nielsen, K. (2014). Customization issues: A Four Level Customization Model. Proceedings of the 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC 2014), 73-82. [Google Scholar] [CrossRef]
  21. Kamis, A., Koufaris, M., & Stern, T. (2004). Online Mass Customization and the Customer Experience. AMCIS 2004 Proceedings, 481. [Google Scholar]
  22. Kamis, A., Stern, T., & Ladik, D.M. (2008) A flow-based model of web site intentions when users customize products in business-to-consumer electronic commerce. Information Systems Frontiers, 12, 157–168. [Google Schoolar] [CrossRef]
  23. Kanama, D. (2018). Manufacturing Transformation toward Mass Customization and Personalization in the Traditional Food Industry. In A. Petrillo, R. Cioffi & F. De Felice, Digital Transformation in Smart Manufacturing (p. 59-74). London: IntechOpen. [Google Scholar] [CrossRef]
  24. Kaplan, A. M., & Haenlein, M. (2006). Toward a Parsimonious Definition of Traditional and Electronic Mass Customization. The Journal of Product Innovation Management, 23, 168-182. [Google Scholar] [CrossRef]
  25. Karwatzki, S., Dytynko, O., Trenz, M., & Veit, D. (2017). Beyond the Personalization–Privacy Paradox: Privacy Valuation, Transparency Features, and Service Personalization. Journal of Management Information Systems, 34(2), 369-400. [Google Scholar] [CrossRef]
  26. Lai, P. (2017). The literature review of technology adoption models and theories for the novelty technology. Journal of Information Systems and Technology Management, 14(1), 21-38. [Google Scholar] [CrossRef]
  27. Lee, C. H. S., Barua, A., & Whinston, A. B. (2000). The complementarity of mass customization and electronic commerce. Economics of Innovation and New Technology, 9(2), 81-110. [Google Scholar] [CrossRef]
  28. Lee, Z. W. Y., Chan, T. K. H., Loong-Chong, A. Y., & Thadani, D. R. (2019) Customer engagement through omnichannel retailing: The effects of multichannel integration quality. Industrial Marketing Management, 77, 90-101. [Google Scholar] [CrossRef]
  29. Mccarthy, I. P. (2004). Special issue editorial: the what, why and how of mass customization. Production Planning & Control, 15(4), 347-351. [Google Scholar] [CrossRef]
  30. Medini, K., Le Duigou, J., Da Cunha, C., & Bernard, A. (2015). Investigating mass customization and sustainability compatibilities. International Journal of Engineering, Science and Technology, 7(1), 11-20. [Google Scholar] [CrossRef]
  31. Morelli, N., & Nielsen, L. M. (2009). Beyond mass customization: exploring the features of a new paradigm. In F. T. Piller & M. M. Tseng, Handbook of Research in Mass Customization and Personalization (p. 97-117). World Scientific. [Google Scholar] [CrossRef]
  32. Park, M. & Yoo, J. (2018). Benefits of mass customized products: moderating role of product involvement and fashion innovativeness. Heliyon, 4(2), 1-25. [Google Scholar] [CrossRef]
  33. Piller, F. T., Harzer, T., Ihl, C., & Salvador, F. (2014). Strategic Capabilities of Mass Customization Based E-Commerce: Construct Development & Empirical Test, Conference. Proceedings of the 2014 47th Hawaii International Conference on System Sciences, 1-10. [Google Scholar] [CrossRef]
  34. Pourabdollahian, G., Steiner, F., Rasmussen, O. G., & Hankammer, S. (2014b) A contribution toward a research agenda: identifying impact factors of mass customization on environmental sustainability. International Journal of Industrial Engineering and Management (IJIEM), 5(4), 169-178. [Google Scholar]
  35. Pourabdollahian, G., Taisch, M., & Piller, F. T. (2014a). Is Sustainable Mass Customization an Oxymoron? An Empirical Study to Analyze the Environmental Impacts of a MC Business Model. Proceedings of the 7th World Conference on Mass Customization, Personalization, and Co-Creation, 301-310. [Google Scholar] [CrossRef]
  36. Reichwald, R., Piller, F. T., & Moslein, K. (2000). Mass Customization Concepts for the Economy: Four Strategies to Create Competitive Advantage with Customized Goods and Services on the Internet. Paper presented at the International NAISO Congress on Information Science Innovations ISI 2000, Workshop on Information Systems for Mass Customization ISMC 2000, March 17-21, 2001, American University in Dubai, U.A.E [Google Scholar]
  37. Risdiyono, R., & Koomsap, P. (2013). Design by Customer: Concept and Applications. Journal of Intelligent Manufacturing, 24(2), 295-311. [Google Scholar] [CrossRef]
  38. Risdiyono, R., Widodo, I. D., & Mahtarami, A. (2016). Mass Customization and Personalization Prospects in Developing Country: Indonesian Context. IOP Conference Series: Materials Science and Engineering, 105, 1-5. [Google Scholar] [CrossRef]
  39. Robinson, S. (2008a). Conceptual modelling for simulation Part II: A framework for conceptual modelling. Journal of the Operational Research Society, 59(3), 291-304. [Google Scholar][CrossRef]
  40. Robinson, S. (2008b). Conceptual Modelling for Simulation Part I: Definition and Requirements. Journal of the Operational Research Society, 59(3), 278-290. [Google Schoolar] [CrossRef]
  41. Robinson, S. (2015). A tutorial on conceptual modeling for simulation. Proceedings of the 2015 Winter Simulation Conference, 1820-1834. [Google Scholar] [CrossRef]
  42. Rodseth, H., Schjolberg, P., & Marhau, A. (2017). Deep digital maintenance. Advance Manufacturing, 4, 299-310. [Google Scholar] [CrossRef]
  43. Rungtusanatham, M. J., & Salvador, F. (2008). From Mass Production to Mass Customization: Hindrance Factors, Structural Inertia, and Transition Hazard. Production and Operations Management, 17(3), 385-396. [Google Scholar] [CrossRef]
  44. Saad-Sulonen, J., De Gotzen, A., Morelli, N., & Simeone, L (2020) Service design and participatory design: time to join forces? Proceedings of the 16th Participatory Design Conference 2020, Association for Computing Machinery, 2, 76-81. [Google Scholar] [CrossRef]
  45. Salvador, F., Holan, P. D. & Piller. F. T. (2009). Cracking the Code of Mass Customization. MIT Sloan Management Review, 50(3), 71-79. [Google Scholar]
  46. Schubert, P. (2006). A Project Method for the Personalization of E-Commerce applications in SMEs. Journal of Electronic Commerce in Organizations, 2(3), 21-39. [Google Scholar] [CrossRef]
  47. Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333-339. [Google Scholar] [CrossRef]
  48. Tiihonen, J., & Felfernig, A. (2017). An introduction to personalization and mass customization. Journal of Intelligent Information Systems, 49, 1-7. [Google Scholar] [CrossRef]
  49. Vekic, A., Borocki, J., Fajsi, A., & Moraca, S. (2018). Adapting Business Model and Strategies for Next Wave of Mass Customization. Proceedings of 8th International Conference on Mass Customization and Personalization – Community of Europe (MCP-CE 2018), 316-321. [Google Scholar]
  50. Verhoefa, P. C., Kannanb, P. K. & JeffreyInmanc, J. (2015). From Multi-Channel Retailing to Omni-Channel Retailing: Introduction to the Special Issue on Multi-Channel Retailing. Journal of Retailing, 91(2), 174-181. [Google Scholar] [CrossRef]
  51. Wang, Q., Wang, Z., & Zhao, X. (2015). Strategic orientations and mass customization capability: the moderating effect of product life cycle. International Journal of Production Research, 53(17), 5278–5295. [Google Scholar] [CrossRef]
  52. Wang, X., Wang, Y., Tao, F., & Liu, A. (2020). New Paradigm of Data-Driven Smart Customisation through Digital Twin. Journal of Manufacturing Systems. [Google Scholar] [CrossRef]
  53. Wang, Y., Ma, H. S., Yang, J. H., & Wang, K. S. (2017). Industry 4.0: a way from mass customization to mass personalization production. Advance Manufacturing, 4, 310-321. [Google Scholar][CrossRef]
  54. Wang., S. S. (2019). Integrated framework for information security investment and cyber insurance. Pacific-Basin Finance Journal, 57, 1-12. [Google Scholar] [CrossRef]
  55. Weber, M., & Chatzopoulos, C. G. (2019). Digital customer experience: the risk of ignoring the non-digital experience. International Journal of Industrial Engineering and Management (IJIEM), 10(3), 201-210. [Google Scholar] [CrossRef]
  56. Xu, Y., Chen, G., & Zheng, J. (2016). An integrated solution—KAGFM for mass customization in customer-oriented product design under cloud manufacturing environment. The International Journal of Advanced Manufacturing Technology, 84(1-4), 85-101. [Google Scholar] [CrossRef]
  57. Xu, Y., Landon, Y., Segonds, S., & Zhang, Y. (2017). A decision support model in mass customization. Computers & industrial engineering, 114, 11-21. [Google Scholar] [CrossRef]
  58. Yao, J. M. (2017). Supply chain resources integration optimization in B2C online shopping. International Journal of Production Research, 55(17), 5079-5094. [Google Scholar] [CrossRef]
  59. Zhang, C., Chen, D., Tao, F., & Liu, A. (2019). Data Driven Smart Customization. Procedia CIRP, 564-569. [Google Scholar] [CrossRef]
  60. Zhao, H., McLoughlin, L., Adzhiev, V., & Pasko, A. (2018). «Why do we buy mass customized products? »- consumer's perspective of success factors for online mass customization. Proceedings of 8th International Conference on Mass Customization and Personalization Community of Europe: Digital Customer Experience, 1-8. [Google Scholar]