Measuring Performance of Digital Projects: Case of Swiss Medium-sized Enterprises


  • Thierry André Klinkert Institute for Information Systems, School of Business, University of Applied Sciences and Arts Northwestern Switzerland
  • Mona A. Meyer Institute for Information Systems, School of Business, University of Applied Sciences and Arts Northwestern Switzerland
  • Yunieta Anita Nainggolan School of Business and Management Institut Teknologi Bandung



Digital Projects, Measurement Model, Performance Measurements, ROI, Swiss medium-sized enterprises, Digital projects


The research objective is to understand the challenges of digitalisation of Swiss medium-sized enterprises and their satisfaction with current measurement methods, and to develop a measurement model to evaluate the performance of their digital projects. The research methodology involved a comprehensive literature review, followed by interviews with experts from 15 medium sized companies. The analysis revealed that Swiss medium sized enterprises not only lack the appropriate tools to measure their digital projects’ performance but are also facing challenges caused by the lack of financial resources and time to implement digital projects; and the difficulty of finding the right people to execute digital projects. The results from the research include a measurement model for digital projects. This model supports managers in making effective decisions regarding their digital projects, allocating resources more effectively, and enhancing overall organizational performance. The research outcomes are not necessarily generalizable to other enterprises (other size, other nations). However, they show that in the context of digital projects, Swiss medium-sized companies need a measurement model to evaluate the performance and success since such technologies/projects are associated with financial costs. For future research, the developed model should be tested with different firms in an operational handling where effective past or future projects would be measured. This could further explore the applicability of the model to different sized enterprises or those in other nations.


Download data is not yet available.


Ali, B. J., & Anwar, G. (2021). An Empirical Study of Employees’ Motivation and Its Influence Job Satisfaction (SSRN Scholarly Paper No. 3822723).

Almeida, F., Duarte Santos, J., & Augusto Monteiro, J. (2020). The Challenges and Opportunities in the Digitalization of Companies in a Post-COVID-19 World. IEEE Engineering Management Review, 48(3), 97–103. doi: 10.1109/EMR.2020.3013206

Ballon, P., Van Hoed, M., & Schuurman, D. (2018). The effectiveness of involving users in digital innovation: Measuring the impact of living labs. Telematics and Informatics, 35(5), 1201–1214. doi: 10.1016/j.tele.2018.02.003

Betchoo, N. K. (2016). Digital transformation and its impact on human resource management: A case analysis of two unrelated businesses in the Mauritian public service. IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EmergiTech), 147–152. doi: 10.1109/EmergiTech.2016.7737328

Bleicher, J., & Stanley, H. (2019). Digitization as a catalyst for business model innovation a three-step approach to faciliating economic sucess. Journal of Business Management, 5(2), 10.

Bosri, R. (2016). Evaluation of Managerial Techniques: NPV and IRR. 2016, 5(1), 10.

Bouwman, H., Nikou, S., Molina-Castillo, F. J., & de, R. M. (2018). The impact of digitalization on business models. Digital Policy, Regulation and Governance, 20(2), 105–124. doi: 10.1108/DPRG-07-2017-0039

Buchbinder, E. (2010). Beyond Checking: Experiences of the Validation Interview. Qualitative Social Work, 1, 106–122. doi: 10.1177/1473325010370189

Cao, G., Duan, Y., Cadden, T., & Minocha, S. (2016). Systemic capabilities: The source of IT business value. Information Technology & People, 29(3), 556–579. doi: 10.1108/ITP-05-2014-0090

Capgemini. (2019, January 29). How much should you expect to spend on a new ERP system? Capgemini Schweiz.

Cenamor, J., Parida, V., & Wincent, J. (2019). How entrepreneurial SMEs compete through digital platforms: The roles of digital platform capability, network capability and ambidexterity. Journal of Business Research, 100, 196–206. doi: 10.1016/j.jbusres.2019.03.035

Chen, L., Mislove, A., & Wilson, C. (2016). An Empirical Analysis of Algorithmic Pricing on Amazon Marketplace. Proceedings of the 25th International Conference on World Wide Web, 1339–1349. doi: 10.1145/2872427.2883089

Elhusseiny, H. M., & Crispim, J. (2022). SMEs, Barriers and Opportunities on adopting Industry 4.0: A Review. Procedia Computer Science, 196, 864–871. doi: 10.1016/j.procs.2021.12.086

Ernst Young. (2019, March 20). EY: Schweizer Mittelstand gut gerüstet für die Digitalisierung, aber…[EY: Swiss SMEs well equipped for digitalisation, but...]. Moneycab.

Francis, J. J., Johnston, M., Robertson, C., Glidewell, L., Entwistle, V., Eccles, M. P., & Grimshaw, J. M. (2010). What is an adequate sample size? Operationalising data saturation for theory-based interview studies. Psychology & Health, 25(10), 1229–1245. doi: 10.1080/08870440903194015

Gangadhar, V. R., & Shaikh, A. (2021). Cloud Technology and Return on Investment (ROI). International Research Journal on Advanced Science Hub, 3(Special Issue ICEST 1S), 73–79. doi: 10.47392/irjash.2021.023

George, G., & Bock, A. J. (2011). The Business Model in Practice and its Implications for Entrepreneurship Research. Entrepreneurship Theory and Practice, 35(1), 83–111. doi: 10.1111/j.1540-6520.2010.00424.x

Gill, P., Stewart, K., Treasure, E., & Chadwick, B. (2008). Methods of data collection in qualitative research: Interviews and focus groups. Nature Publishing Group, 204(6), 291–295. doi: 10.1038/bdj.2008.192








How to Cite

Klinkert, T. A., Meyer , M. A., & Nainggolan, Y. A. (2023). Measuring Performance of Digital Projects: Case of Swiss Medium-sized Enterprises. The Asian Journal of Technology Management (AJTM), 16(1), 65–81.