What Changes in Organization and Management Can Empower the Digital Transformation?

• Autorzy: Anna Saniuk
• Języki publikacji: EN

Abstrakty

EN

Purpose: The main purpose of this research was to investigate what key outcomes of the new digital technologies are observed in selected manufacturing enterprises in Poland and what changes in organization and management area should be realized to support the digital transformation strategy. Design/methodology/approach: To illuminate this uncharted field, the individual in-depth interviews with the selected management experts with extensive experience and practice in industry were tested and their interesting observations and recommendations for top managers and scientists were identified. Findings: The findings from the study indicated that one of the primary effect of the digital transformation is a possibility to process and analyze a huge amount of data in real-time. This gives many significant benefits revealed in this study. One of them is shortening time and an increase quality of decision-making process. These results can provide meaningful insights for subsequent research towards designing new methods and tools for business management using advanced digital technologies. Research limitations/implications: The first limitation is that this research focuses on Polish manufacturing enterprises, but it does not include a division into different type of industry sectors. Therefore, it was not possible to identify changes specific for each kind of sector. A second limitation is associated with the qualitative research which was conducted to identify new changes and cannot lead to the elimination of changes with marginal importance and indicate the most important ones. The quantitative research could bring interesting results and indicate which changes are significant. Practical implications: These research results established a solid basis towards the development of new solutions, business models and methods by answering the question about what should be changed in manufacturing enterprises in digital transformation environment for their own betterment. Originality/value: The article addresses the need for conducting research to develop a new approach, new perspectives and trends in business organization and management so far lacking in the scientific literature. The presented results of in-depth interviews with experts contributes to descriptive and explanatory knowledge on the influence of digital transformation on organization and management areas in manufacturing enterprises.(original abstract)

Słowa kluczowe

EN

Organisation and management; Digital transformation; In-depth interview

PL

Organizacja i zarządzanie; Transformacja cyfrowa; Wywiad pogłębiony

• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2023
• Numer: z. 184 Współczesne zarządzanie = Contemporary Management
• Strony: 493--512

Twórcy

autor

Anna Saniuk

• Uniwersytet Zielonogórski

Bibliografia

• 1. AINuaimi, B.K., Singh, S.K., Ren, S., Budhwar, P., Vorobyev, D. (2022). Mastering digital transformation: The nexus between leadership, agility, and digital strategy. Journal of Business Research, No. 145, pp. 636-648.
• 2. Alami, D., Maraghy, W. (2021). A cost benefit analysis for industry 4.0 in a job shop environment using a mixed integer linear programming model. Journal of Manufacturing Systems, No. 59, pp. 81-97.
• 3. Albukhitan, S. (2020). Developing Digital Transformation Strategy for Manufacturing. Procedia Computer Science, No. 170, pp. 664-671.
• 4. Aquilani, B., Picarozzi, M., Abbate, T., Codini, A. (2020). The Role of Open Innovation and Value Co-creation in the Challenging Transition from Industry 4.0 to Society 5.0: Toward a Theoretical Framework. Sustainability, No. 12, 8943, Retrieved from: https://doi.org/10.3390/su12218943
• 5. Boyce, C., Neale, P. (2006). Conducting In-depth Interviews: A Guide for Designing and Conducting In-Depth Interviews for Evaluation Input. Pathfinder International Tool Series: Monitoring and Evaluation - 2, pp. 3-6.
• 6. Brock, J.K.U., Von Wangenheim, F. (2019). Demystifying AI: What digital transformation leaders can teach you about realistic artificial intelligence. California Management Review, Vol. 61, Iss. 4, pp. 110-134.
• 7. Culot, G., Nassimbeni, G., Orzes, G., Sartor, M. (2020). Behind the definition of the Industry 4.0: Analysis and open questions International. Journal of Production Economics, No. 226, 107617.
• 8. European Commission (2020). Retrieved from: https://research-and-innovation.ec.europa.eu/research-area/industrial-research-and-innovation/industry-50_en
• 9. Felsberger, A., Reiner, G. (2020). Sustainable Industry 4.0 in Production and Operations Management: A Systematic Literature Review. Sustainability, No. 12, 7982.
• 10. Fettermann, D.C., Cavalcante, C.G.S., de Almeida, T.D., Tortorella, G.L. (2018). How does Industry 4.0 contribute to operations management? Journal of Industrial and Production Engineering, Vol. 35, Iss. 4, pp. 255-268.
• 11. Fettig, K., Gacic, T., Koskal, A., Kuhn, A., Stuber, F. (2018). Impact of Industry 4.0 on Organizational Structures. IEEE International Conference on Engineering Technology and Innovation, 17-20 June 2018. Proceedings Paper. Stuttgart, Germany.
• 12. Foerster-Metz, U.S., Marquardt, K., Golowko, N., Kompalla, A., Hell, C. (2020). The effects of digital technology on organizational behaviour. Proceedings Paper of Vision: Sustainable economic development, innovation management, and global growth, I-IX. 30th International Business-Information-Management-Association Conference, November 8-9, 2017, Madrid, pp. 2871-2883.
• 13. Gaspar, M., Juliao, J. (2020). Impacts of Industry 4.0 on Operations Management: Challenges for Operations Strategy. Proceedings of IEEE 7th International Conference on Industrial Engineering and Applications, Bangkok, pp. 82-87.
• 14. Gasparetto, W., Egger, G., Giusti, A., Rauch, E., Riedl, M., Matt, D.T. (2018). Intelligent workpiece carrier for distributed data collection and control in manufacturing environments. Procedia Manufacturing, No. 24, pp. 190-195.
• 15. Gastaldi, L., Lessanibahri, S., Tedaldi, G., Miragliotta, G. (2022). Companies' adoption of smart technologies to achieve structural ambidexterity: An analysis with SEM. Technological Forecasting and Social Change, No. 174, 121187.
• 16. Grabowska, S., Saniuk, S. (2022). Business Models in the Industry 4.0 Environment? Results of Web of Science Bibliometric Analysis. Journal of Open Innovation: Technology, Market, and Complexity, Vol. 8, Iss. 1, pp. 1-19.
• 17. Huang, S., Wang, B., Li, X., Zheng, P., Mourtzis, D., Wang, L. (2022). Industry 5.0 and Society 5.0 - Comparison, complementation and co-evolution. Journal of Manufacturing Systems, No. 64, pp. 424-428.
• 18. Ismail, M.H., Khater, M., Zaki, M. (2017). Digital Business Transformation and Strategy: What Do We Know So Far? University of Cambridge. Retrieved from: https://cambridgeservicealliance.eng.cam.ac.uk/system/files/documents/2017NovPaper_Mariam.pdf
• 19. Ivanov, D. (2022). The Industry 5.0 framework: viability-based integration of the resilience, sustainability, and human-centricity perspectives. International Journal of Production Research, Vol. 61, Iss. 5, pp. 683-1695.
• 20. Jang, J.M., Seo, S.J., Lee, Y., Kim, Y.S. (2019). A Study on Improving the Quality of Clothing Companies: Focusing on Kutesmart using Quality 4.0 Matrix. Journal of the Korean Society for Quality Management, Vol. 47, Iss. 1, pp. 199-211.
• 21. Kagermann, H. (2015). Change through digitization - Value creation in the age of Industry 4.0. In: H. Albach, H. Meffert, A. Pinkwart, R. Reichwald (Eds.), Management of Permanent Change (pp. 23-45). Springer Gabler.
• 22. Kessler, M., Arlinghaus, J.C. (2022). A framework for human-centered production planning and control in smart manufacturing. Journal of Manufacturing Systems, No. 65, pp. 220-232.
• 23. Kitsios, F., Kamariotou, M. (2021). Artificial intelligence and business strategy towards digital transformation: A research agenda. Sustainability, No. 13, 2025.
• 24. Kreuzer, T., Lindenthal, A.K., Oberlander, A.M., Roglinger, M. (2022). The effects of digital technology on opportunity recognition. Business & Information Systems Engineering, Vol. 64, Iss. 1, pp. 47-67.
• 25. Kumar, K., Zindani, D., Davim, J.P. (2020). Design Thinking to Digital Thinking. Switzerland: Springer, ISBN: 978-3-030-31359-3
• 26. Kumar, S., Mallipeddi, R.R. (2022). Impact of cybersecurity on operations and supply chain management: Emerging trends and future research directions. Productions and Operations Management, Vol. 31, Iss. 12, pp. 4488-4500.
• 27. Kyungtae, K., Boyoung, K. (2022). Decision-Making Model for Reinforcing Digital Transformation Strategies Based on Artificial Intelligence Technology. Information, Vol. 13, Iss. 5, 253.
• 28. Lam, H.K.S., Ding, L., Dong, Z. (2022). The impact of foreign competition on domestic firms' product quality: Evidence from a quasi-natural experiment in the United States. Journal of Operations Management, pp. 1-22, Retrieved from: https://doi.org/10.1002/joom.1169
• 29. Letmathe, P., Rossler, M. (2022). Should firms use digital work instructions? Individual learning in an agile manufacturing settings. Journal of Operations Management, Vol. 68, Iss. 1, pp. 94-109.
• 30. Maddikunta, P.K.R., Pham, Q.V., Prabadevi, B., Deepa, N., Dev, K., Gadekallu, T.R., Ruby, R., Liyanage, M. (2022). Industry 5.0: A survey on enabling technologies and potential applications. Journal of Industrial Information Integration, No. 26, 100257, doi: 10.1016/j.jii.2021.100257
• 31. Madsen, D.O., Berg, T. (2021). An Exploratory Bibliometric Analysis of the Birth and Emergence of Industry 5.0. Applied System Innovation, Vol. 4, Iss. 4, No. 87, doi: 10.3390/asi4040087
• 32. Margues, M., Agostinho, C., Zacharewicz, G., Jardim-Goncalves, R. (2017). Decentralized decision support for intelligent manufacturing in Industry 4.0. Journal of Ambient Intelligence and Smart Environments, Vol. 9, Iss. 3, pp. 299-313.
• 33. Margues, M., Agostinho, C., Zacharewicz, G., Poler, R., Jardim-Gocalves, R. (2018). Responsive Production in Manufacturing: a Modular Architecture. In: V. Sgurev, V. Jotsov, J. Kacprzyk (Eds.), Practical issues of intelligent innovations, studies in systems decision and control, No. 140 (pp. 231-254). Cham: Springer International Publishing.
• 34. Marre, M., Beihofer, D., Haggenmueller, W.A., Grupp, P. (2015). Forming for resource efficient Industry 4.0. Proceedings of the 5th international conference on accuracy in forming technology (ICAFT), Chemnitz, Germany, 10-11 November 2015, pp. 655-673.
• 35. Matt, C., Hess, T., Benlian, A. (2015). Digital Transformation Strategies Business & Information Systems Engineering, Vol. 57, Iss. 5, pp. 339-343.
• 36. Merdin, D., Ersoz, F., Taskin, H. (2023). Digital Transformation: Digital Maturity Model for Turkish Businesses Journal of Science, Vol. 36, Iss. 1, pp. 263-282.
• 37. Nahavandi, S. (2019). Industry 5.0 - A Human-Centric Solution. Sustainability, Vol. 11, Iss. 16, 4371, Retrieved from: https://doi.org/10.3390/su11164371
• 38. Nguyen, T.H., Nguyen, V.H., Huy, D.T.N. (2021). Transforming the University Management Model in the Concept of Digital Transformation. Revista Geintec, Vol. 11, Iss. 3, pp. 380-387.
• 39. Olsen, T.L., Tomlin, B. (2020). Industry 4.0: Opportunities and challenges for operations management. Manufacturing & Service Operations Management, Vol. 22, Iss. 1, pp. 113-122.
• 40. Ozkan-Ozen, Y.D., Kazancoglu, Y. (2021). Analysing workforce development challenges in the Industry 4.0. International Journal of Manpower. Retrieved from: https://doi.org/10.1108/IJM-03-2021-0167
• 41. Park, W.S., Yang, J.W. (2020). Crafting sustainable human resource management strategies in the era of artificial intelligence. Korea Business Review, No. 24, pp. 189-209.
• 42. Peng, B. (2021). Digital leadership: State governance in the era of digital technology. Culture of Science, Vol. 5, Iss. 4, pp. 1-16. Sage. Retrieved from: https://journals.sagepub.com/doi/pdf/10.1177/2096608321989835
• 43. Piccarozzi, M., Aquilani, B., Gatti, C. (2018). Industry 4.0 in management studies: A systematic literature review. Sustainability, Vol. 10, Iss. 3821, pp. 1-24.
• 44. Pilipczuk, O. (2021). Transformation of the Business Process Manager Profession in Poland: The Impact of Digital Technologies. Sustainability, Vol. 13, Iss. 24, 13690, Retrieved from: https://doi.org/ 10.3390/su132413690
• 45. Raza, Z., Woxenius, J., Vural, C.A., Lind, M. (2023). Digital transformation of maritime logistics: Exploring trends in the liner shipping segment. Computers in Industry, No. 145, doi: 10.1016/j.compind.2022.103811
• 46. Rubin, H.J., Rubin, I.S. (2011). Qualitative Interviewing: The Art of Hearing Data. London, UK: Sage.
• 47. Rutledge, P.B., Hogg, J.L.C. (2020). In-Depth Interviews. In: The International Encyclopedia of Media Psychology. Retrieved from: https://doi.org/10.1002/ 9781119011071.iemp0019
• 48. Said, A., Mouaad, H. (2019). Managing strategy in digital transformation context: An exploratory analysis of enterprise architecture management support. Proceedings of the 21st IEEE Conference of Business Informatics, 1, CBI, Moscow, Russia, pp. 165-173.
• 49. Saniuk, S., Caganova, D., Saniuk, A. (2021). Knowledge and skills of industrial employees and managerial staff for the Industry 4.0 implementation. Mobile Networks and Application, Retrieved from: https://doi.org/10.1007/s11036-021-01788-4
• 50. Schwaferts, D., Shama, B. (2018). Digital transformation management and digital business development. Studies in Systems, Decision and Control, No. 141, pp. 147-159.
• 51. Teng, X., Wu, Z., Yang, F. (2022). Research on the Relationship between Digital Transformation and Performance of SMEs. Sustainability, Vol. 14, Iss. 10, 6012. Retrieved from: https://doi.org/10.3390/su14106012
• 52. Thoben, K.D., Wiesner, S., Wuest, T. (2017). "Industrie 4.0" and smart manufacturing - A review of research issues and application examples. International Journal of Automation Technology, Vol. 11, Iss. 1, pp. 1-16.
• 53. Tonder, Ch., Schachtebeck, Ch., Nieuwenhuizen, C., Bossink, B. (2021). A framework for digital transformation and business model innovation. Management Journal of Contemporary Management Issues, Vol. 25, Iss. 2, pp. 111-132.
• 54. Tsou, H.T., Chen, J.S. (2021). How does digital technology usage benefit firm performance? Digital transformation strategy and organizational innovation as mediators. Technology Analysis & Strategic Management. Retrieved from: https://doi.org/10.1080/ 09537325.2021.1991575.
• 55. Veile, J.W., Kiel, D., Muller, J.M., Voigt, K. (2020). Lessons learned from Industry 4.0 implementation in the German manufacturing industry. Journal of Manufacturing Technology Management, Vol. 31, Iss. 5, pp. 977-997.
• 56. Verhoef, P.C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J.Q., Fabian, N., Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, No. 122, pp. 889-901.
• 57. Vial, G. (2019). Understanding digital transformation: A review and research agenda. Journal of Strategic Information Systems, No. 28, pp. 118-144.
• 58. Warner, K.S.R., Wager, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, Vol. 25, Iss. 3, pp. 326-349.
• 59. Xu, X., Lu, Y., Vogel-Heuser, B., Wang, L. (2021). Industry 4.0 and 5.0 - Inception, conception and perception. Journal of Manufacturing Systems, No. 61, pp. 530-535.
• 60. Yang, F., Wang, M. (2020). A review of systematic evaluation and improvement in the big data environment. Frontiers of Engineering Management, Vol. 7, Iss. 1, pp. 27-46.
• 61. Zhang, X., Xu, Y.Y., Ma, L. (2023). Information technology investment and digital transformation: the roles of digital transformation strategy and top management. Business Process Management Journal, DOI: 10.1108/BPMJ-06-2022-0254.
• 62. Zhichao, L., Yong, Y., Ya, C. (2021). Management and control of economic cost and analysis of investment effect in small and medium-sized enterprises under the background of Industry 4.0. International Journal of Technology Management, Vol. 84, Iss. 3-4, pp. 211-228.

Identyfikatory

DOI

10.29119/1641-3466.2023.184.25