Skip to main content
Have a personal or library account? Click to login
Impact of corporate actions on the parameters of selected innovation diffusion models Cover

Impact of corporate actions on the parameters of selected innovation diffusion models

Open Access
|Jun 2026

References

  1. Al-Hanakta, R., Hossain, M. B., Pataki, L., & Dunay, A. (2023). Eco-innovation influence on business performance in Jordanian micro, small and medium enterprises operating in the food processing sector. PLoS ONE, 18(2 February). doi: 10.1371/journal. pone.0281664
  2. Aslam, M., Shafi, I., Ahmad, J., Alvarez, R. M., Miró, Y., Flores, E. S., & Ashraf, I. (2023). An Analytical Framework for Innovation Determinants and Their Impact on Business Performance. Sustainability (Switzerland), 15(1). doi: 10.3390/su15010458
  3. Ayinaddis, S. G. (2023). The effect of innovation orientation on firm performance: evidence from micro and small manufacturing firms in selected towns of Awi Zone, Ethiopia. Journal of Innovation and Entrepreneurship, 12(26). doi: 10.1186/s13731-023-00290-3
  4. Bogdan, O., Mihaiu, R., Colobățiu, M., Hârșan, I., & Mihaiu, M. (2021). Study on the development of the Kaizen system at a meat processing unit. Managerial Challenges of the Contemporary Society, 14(1), 142-145.
  5. Brdulak, A., Chaberek, G., & Jagodziński, J. (2021). BASS Model Analysis in “Crossing the Chasm” in E-Cars Innovation Diffusion Scenarios. Energies, 14(11), 3216. doi: 10.3390/en14113216
  6. Camilleri, M. A., Troise, C., Strazzullo, S., & Bresciani, S. (2023). Creating shared value through open innovation approaches: Opportunities and challenges for corporate sustainability. Business Strategy and the Environment, 32(7), 4485-4502. doi: 10.1002/bse.3377
  7. Chen, X., Kurdve, M., Johansson, B., & Despeisse, M. (2023). Enabling the twin transitions: Digital technologies support environmental sustainability through lean principles. Sustainable Production and Consumption, 38, 13-27. doi: 10.1016/j.spc.2023.03.020
  8. Ciliberto, C., Szopik-Depczyńska, K., TarczyńskaŁuniewska, M., Ruggieri, A., & Ioppolo, G. (2021). Enabling the Circular Economy transition: a sustainable lean manufacturing recipe for Industry 4.0. Business Strategy and the Environment, 30(7), 3255-3272. doi: 10.1002/bse.2801
  9. Cusumano, M. A., Holweg, M., Howell, J., Netland, T., Shah, R., Shook, J., Ward, P., & Womack, J. (2021). Commentaries on “The Lenses of Lean.” Journal of Operations Management, 67(5), 627-639. doi: 10.1002/ joom.1138
  10. Cywiński, M. (2020). Identyfikacja i dyfuzja innowacyjności w działalności polskich przedsiębiorstw. Akademia im. Jakuba z Paradyża.
  11. Czakon, W. (2006). Łąbędzie Poppera - Case Studies w Badaniach Nauk o Zarządzaniu. Przegląd Organizacji, 9, 9-12.
  12. Dąbrowska, M., & Jokiel, P. (2023). Redukcja czasu przezbrojenia maszyn z wykorzystaniem metody SMED w wybranym przedsiębiorstwie produkcyjnym. Gospodarka Materiałowa i Logistyka, 2023(2), 38-49. doi: 10.33226/1231-2037.2023.2.5
  13. Dondajewska, A. (2016). Studia przypadków w badaniach nauk o zarządzaniu w świetle rygoru metodologicznego. Zeszyty Naukowe Politechniki Poznańskiej Organizacja i Zarządzanie, 39-50. doi: 10.21008/j.0239-9415.2016.070.03
  14. Fan, P. H. (2024). Applying Six Sigma to Improve the Defect Rate of Electronic Components: a Six Sigma Case Study. South African Journal of Industrial Engineering, 35(1), 41-56. doi: 10.7166/35-1-2899
  15. Fant, X., Wangz, Z., & Peil, L. (2023). An Extended Grey Bass Diffusion Model With Dynamic Market Capacity. The Journal of Grey System, 35(3), 71-81.
  16. Franken, J. C. M., van Dun, D. H., & Wilderom, C. P. M. (2021). Kaizen event process quality: towards a phase-based understanding of high-quality group problem-solving. International Journal of Operations and Production Management, 41(6), 962-990. doi: 10.1108/IJOPM-09-2020-0666
  17. Garcia-Garcia, G., Singh, Y., & Jagtap, S. (2022). Optimising Changeover through Lean-Manufacturing Principles: A Case Study in a Food Factory. Sustainability (Switzerland), 14(14). doi: 10.3390/su14148279
  18. Garrido-Moreno, A., Martín-Rojas, R., & García-Morales, V. J. (2024). The key role of innovation and organizational resilience in improving business performance: A mixed-methods approach. International Journal of Information Management, 77. doi: 10.1016/j.ijinfomgt.2024.102777
  19. Gomaa, A. H. (2023). Operational Excellence for Improving Manufacturing Performance Using Lean Six Sigma. International Journal of Business and Administrative Studies, 9(2), 1-19. doi: 10.20469/ijbas.9.10001-2
  20. Gruenhagen, J. H., & Parker, R. (2020). Factors driving or impeding the diffusion and adoption of innovation in mining: A systematic review of the literature. Resources Policy, 65. doi: 10.1016/j.resourpol.2019.101540
  21. Guidolin, M., & Manfredi, P. (2023). Innovation Diffusion Processes: Concepts, Models, and Predictions. Annual Review of Statistics and Its Application, 10(1), 451-473. doi: 10.1146/annurev-statistics-040220-091526
  22. Hartanti, L. P. S., Gunawan, I., Mulyana, I. J., & Herwinarso, H. (2022). Identification of Waste Based on Lean Principles as the Way towards Sustainability of a Higher Education Institution: A Case Study from Indonesia. Sustainability (Switzerland), 14(7). doi: 10.3390/su14074348
  23. Hassan, S. S., Meisner, K., Krause, K., Bzhalava, L., & Moog, P. (2024). Is digitalization a source of innovation? Exploring the role of digital diffusion in SME innovation performance. Small Business Economics, 62(4), 1469-1491. doi: 10.1007/s11187-023-00826-7
  24. Hys, K., & Domagała, A. (2021). Application of the SMED method for improving the CNC machine workplace production process in the scope of “waiting” MUDA. Scientific Papers of Silesian University of Technology. Organization and Management, 151, 239-252. doi: 10.29119/1641-3466.2021.151.15
  25. Junior, R. G. P., Inácio, R. H., da Silva, I. B., Hassui, A., & Barbosa, G. F. (2022). A novel framework for single-minute exchange of die (SMED) assisted by lean tools. International Journal of Advanced Manufacturing Technology, 119(9-10), 6469-6487. doi: 10.1007/ s00170-021-08534-w
  26. Karaś A. (2021). Alianse wiedzy i ich wpływ na działalność innowacyjną przedsiębiorstwa: -. Zeszyty Naukowe Małopolskiej Wyższej Szkoły Ekonomicznej W Tarnowie, 51(3), 75-85. doi: 10.25944/znmwse.2021.03.7585
  27. Kose, Y., Civan, H. N., Ayyildiz, E., & Cevikcan, E. (2022). An Interval Valued Pythagorean Fuzzy AHP-TOPSIS Integrated Model for Ergonomic Assessment of Setup Process under SMED. Sustainability (Switzerland), 14(21). doi: 10.3390/su142113804
  28. Kot, S., Karska, A., & Zając Kazimierz. (1993). Matematyczne Modele Procesów Innowacji. Wydawnictwo Naukowe PWN.
  29. Kotthoff, F., & Hamacher, T. (2022). Calibrating Agent-Based Models of Innovation Diffusion with Gradient. JASSS, 25(3). doi: 10.18564/jasss.4861
  30. Kumar, S., Dhingra, A. K., & Singh, B. (2018). Process improvement through Lean-Kaizen using value stream map: a case study in India. The International Journal of Advanced Manufacturing Technology, 96(5-8), 2687-2698. doi: 10.1007/s00170-018-1684-8
  31. Lakshmanan, R., Nyamekye, P., Virolainen, V. M., & Piili, H. (2023). The convergence of lean management and additive manufacturing: Case of manufacturing industries. In Cleaner Engineering and Technology (Vol. 13). Elsevier Ltd. doi: 10.1016/j.clet.2023.100620
  32. Maalouf, M. M., & Zaduminska, M. (2019). A case study of vsm and smed in the food processing industry. Management and Production Engineering Review, 10(2), 60-68. doi: 10.24425/mper.2019.129569
  33. Mahajan, V., Muller, E., & Bass, F. M. (1990). New Product Diffusion Models in Marketing: A Review and Directions for Research. Journal of Marketing, 54(1), 1-26. doi: 10.1177/002224299005400101
  34. Mahajan, V., Muller, E., & Srivastava, R. K. (1990). Determination of Adopter Categories by Using Innovation Diffusion Models. Journal of Marketing Research, 27(1), 37-50. doi: 10.1177/002224379002700104
  35. Mahajan, V., & Peterson, R. (1985). Models for Innovation Diffusion. SAGE Publications, Inc. doi: 10.4135/9781412985093
  36. Malinova, M., Gross, S., & Mendling, J. (2022). A study into the contingencies of process improvement methods. Information Systems, 104. doi: 10.1016/j.is.2021.101880
  37. Manzanares-Cañizares, C., Sánchez-Lite, A., Rosales-Prieto, V. F., Fuentes-Bargues, J. L., & González-Gaya, C. (2022). A 5S Lean Strategy for a Sustainable Welding Process. Sustainability (Switzerland), 14(11). doi: 10.3390/su14116499
  38. Masali, G., Bruni, M. E., & Perboli, G. (2025). The statistical mechanics of innovation diffusion. Annals of Operations Research. doi: 10.1007/s10479-025-06894-0
  39. Matejun, M. (2011). Metoda Badania Przypadków w Naukach o Zarządzaniu [The Case Study Method in Management Sciences]. Ekonomika i Organizacja, 10, 93-102.
  40. Mazur, M., Korenko, M., Žitňák, M., Shchur, T., Kiełbasa, P., Dostál, P., Dzhidzhora, O., & Idzikowski, A. (2024). Implementation and Benefits of the 5S Method in Improving Workplace Organisation - a Case Study. Management Systems in Production Engineering, 32(4), 498-507. doi: 10.2478/mspe-2024-0047
  41. Mielcarek, P. (2014). Metoda Case Study w Rozwoju Teorii Naukowych [The Case Study Method in the Development of Scientific Theories]. Organizacja i Kierowanie, 1, 105-117.
  42. Mitra, S., Priya, P., Venkatesh, A., & Biswas, S. N. (2020). Timely Forecasts of Diffusion of Innovations: The Bass Model in Emerging Markets. Global Business Review. doi: 10.1177/0972150920973492
  43. Moro, N. (2024). Shitsuke, Sustain - The Five Step of the 5S Methodology. International Conference KNOWLEDGE-BASED ORGANIZATION, 30(3), 1-5. doi: 10.2478/kbo-2024-0090
  44. Niekurzak, M., Lewicki, W., Coban, H. H., & Bera, M. (2023). A Model to Reduce Machine Changeover Time and Improve Production Efficiency in an Automotive Manufacturing Organisation. Sustainability (Switzerland), 15(13). doi: 10.3390/su151310558
  45. Palm, A. (2022). Innovation systems for technology diffusion: An analytical framework and two case studies. Technological Forecasting and Social Change, 182. doi: 10.1016/j.techfore.2022.121821
  46. Pizło, W. (2009). Studium Przypadku Jako Metoda Badawcza w Naukach Ekonomicznych. Stowarzyszenie Ekonomistów Rolnictwa i Agrobiznesu, 11(5), 246-251.
  47. Ramírez-Solis, E. R., & Rodriguez-Marin, M. (2022). Diffusion Model for Mexican SMEs to Support the Success of Innovation. Sustainability, 14(16), 10305. doi: 10.3390/su141610305
  48. Rogers, E. M. (1983). Diffusion of innovations (Third). Free Press.
  49. Sahmi, Z., & El Abbadi, L. (2024). The evolution of Kaizen in the industry: systematic literature review. In International Journal of Production Management and Engineering (pp. 169-179). Universidad Politecnica de Valencia. doi: 10.4995/ijpme.2024.21143
  50. Sasikumar, A., Acharya, P., Nair, M., & Ghafar, A. (2023). Applying lean Six Sigma for waste reduction in a bias tyre manufacturing environment. Cogent Business and Management, 10(2). doi: 10.1080/23311975.2023.2228551
  51. Sharif, M. N., & Ramanathan, K. (1982). Polynomial innovation diffusion models. Technological Forecasting and Social Change, 21(4), 301-323. doi: 10.1016/0040-1625(82)90043-9
  52. Simonsen, E. M., Herrera, R. F., & Atencio, E. (2023). Benefits and Difficulties of the Implementation of Lean Construction in the Public Sector: A Systematic Review. Sustainability (Switzerland), 15(7). doi: 10.3390/su15076161
  53. Singhal, S., Anand, A., & Singh, O. (2019). SDE based Generalized Innovation Diffusion Modeling. International Journal of Mathematical, Engineering and Management Sciences, 4(3), 697-707. doi: 10.33889// IJMEMS.2019.4.3-055
  54. Skiadas, C. (1985). Two generalized rational models for forecasting innovation diffusion. Technological Forecasting and Social Change, 27(1), 39-61. doi: 10.1016/0040-1625(85)90003-4
  55. Sousa, F. L. de, Canêdo-Pinheiro, M., Cabral, B. P., & Sousa Ferreira, G. E. de. (2021). Lean Management Practices’ Effects on Brazilian Firms: A Quantitative and Qualitative Analysis. Journal of Contemporary Research in Business, Economics and Finance, 3(3), 84-108. doi: 10.33094/26410265.2021.33.84.108
  56. Torma, G., & Aschemann-Witzel, J. (2023). Social acceptance of dual land use approaches: Stakeholders’ perceptions of the drivers and barriers confronting agrivoltaics diffusion. Journal of Rural Studies, 97, 610-625. doi: 10.1016/j.jrurstud.2023.01.014
  57. Vargo, S. L., Akaka, M. A., & Wieland, H. (2020). Rethinking the process of diffusion in innovation: A service-ecosystems and institutional perspective. Journal of Business Research, 116, 526-534. doi: 10.1016/j.jbusres.2020.01.038
  58. Wolniak, R., & Grebski, W. (2023). The usage of Six Sigma in Industry 4.0 conditions. Scientific Papers of Silesian University of Technology Organization and Management Series, 2023(184). doi: 10.29119/1641-3466.2023.184.37
DOI: https://doi.org/10.2478/emj-2026-0012 | Journal eISSN: 2543-912X | Journal ISSN: 2543-6597
Language: English
Page range: 65 - 78
Submitted on: Dec 1, 2025
Accepted on: Apr 1, 2026
Published on: Jun 30, 2026
In partnership with: Paradigm Publishing Services

© 2026 Kamil Wysocki, Zbigniew Wiśniewski, Aleksandra Lota, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.