Abstract
Advances in information technology are transforming the value provided to customers and business models for delivering value. Pharmaceutical companies, which are required to provide safe and reliable products, are also building digital platforms to comply with regulatory and user requirements and to improve the efficiency of manufacturing and quality control. In order to be accountable for the reliability of their products and services, they need to continuously assess their performance in the process of digital transformation.
However, there is no established method to dynamically design and manage performance indicators in the process from the verification of concept of a new product to its deployment to the business. In this report, we propose a method for deriving dynamic performance indicators for corporate digital transformation using a design thinking approach. This method enables more dynamic and flexible design and review of performance indicators, instead of the conventional static performance indicators centered on financial perspectives.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Singh, M., Sachan, S., Singh, A., & Singh, K. K. (2020). Internet of Things in pharma industry: possibilities and challenges, pp. 195–216 Academic Press
Sharma, A., Kaur, J., Singh, I.: IoT in pharmaceutical manufacturing, warehousing, and supply chain management. SN Comput. Sci. 1(4), 1–10 (2020)
Szlezak, N., Evers, M., Wang, J., Pérez, L.: The role of big data and advanced analytics in drug discovery, development, and commercialization. Clin. Pharmacol. Ther. 95(5), 492–495 (2014)
Resman, M., Pipan, M., Šimic, M., Herakovič, N.: A new architecture model for smart manufacturing: a performance analysis and comparison with the RAMI 4.0 reference model. Adv. Prod. Eng. Manag, 14(2), 153–165 (2019)
Miura, K., Kobayashi, N., Shirasaka, S.: A strategic performance indicator deriving framework for evaluating organizational change. Rev. Integr. Bus. Econ. Res. 9(4), 36–46 (2020)
Buckl, S., Matthes, F., Schulz, C., Schweda, C.M.: Exemplifying a Framework for Interrelating Enterprise Architecture Concerns. In: Sicilia, M.-A., Kop, C., Sartori, F. (eds.) ONTOSE 2010. LNBIP, vol. 62, pp. 33–46. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-16496-5_3
Tamm, T., Seddon, P.B., Shanks, G., Reynolds, P.: How does enterprise architecture add value to organizations? Commun. Assoc. Inform Syst. 28(1), 141–168 (2011).
Masuda, Y., Shirasaka, S., Yamamoto, S., Hardjono, A.B., Practices in Adaptive Enterprise Architecture with Digital Platform: A Case of Global Healthcare Enterprise, T.: International Journal of Enterprise Information Systems. IGI Global. 14, 1 (2018)
Masuda, Y., Zimmerman, A., Shepard, D. S., Schmidt, R., Shirasaka, S.: An adaptive enterprise architecture design for a digital healthcare platform: toward digitized society-industry 4.0, Society 5.0. In: 2021 IEEE 25th International Enterprise Distributed Object Computing Workshop (EDOCW), (pp. 138–146) (2021). IEEE
Dixon, J.R., Nanni, A.J., Vollmann, T.E.: New performance challenge: Measuring operations for world-class competition. McGraw-Hill Professional Publishing, Homewood (1990)
Kaplan, R.S., Norton, D.P.: Linking the balanced scorecard to strategy. Calif. Manage. Rev. 39(1), 53–79 (1996)
Bourne, M., Melnyk, S., Bititci, U.S.: Performance measurement and management: theory and practice. Int. J. Oper. Prod. Manag. 38(11), 2010–2021 (2018)
Bititci, U., Garengo, P., Dörfler, V., Nudurupati, S.: Performance measurement: challenges for tomorrow. Int. J. Manag. Rev. 14(3), 305–327 (2012)
Rossi, P.H., Lipsey, M.W., Henry, G.T.: Evaluation: A systematic approach. Sage publications (2018).
International Organization for standardization (2008), ISO9001:2008 Quality management systems – requirements
ICH. ICH Harmonized Tripartite Guideline: Pharmaceutical Quality System Q10; June, 2008
Lawrence, X.Y., Kopcha, M.: The future of pharmaceutical quality and the path to get there. Int. J. Pharm. 528(1–2), 354–359 (2017)
Arling, E.R., Dowling, M.E., Frankel, P.A.: Creating and managing a quality management system. Pharmaceutical Sciences Encyclopedia: Drug Discovery, Development, and Manufacturing, pp. 1–48 (2010)
Iizuka, Y., Nagata, Y.: Introduction to Modern Quality Management (Japaneses). Asakura Publishing Co., Ltd (2009)
Curedale, R.: Design Thinking Processes & Methods. Design Community College, Los Angeles, (2018)
Stanford d.school bootcamp bootleg, https://dschool.stanford.edu/resources/the-bootcamp-bootleg
Peterson, K., Wohlin, C., Baca, D.: The waterfall model in large-scale development, in International Conference on Product-Focused Software Process Improvement, 2009, S. 386–400
Fowler, M., & Highsmith, J., The agile manifesto, Software development, Bd. 9, Nr. 28–35, 2001
Qurashi, S.A., Qureshi, M.: Scrum of scrum solution for large size teams using scrum methodology, arXiv preprint arXiv: 1408.6142 (2014)
Leffingwell, SAFe 4.5 reference guide: scaled agile framework for lean enterprises. Addison-Wesley Professional, 2018
Ambler, S.W., Lines, M.: Disciplined agile delivery: A practitioner’s guide to agile software delivery in the enterprise. IBM press, 2012
Osterwalder, A., Pigneur, Y.: Business Model Generation. John Wiley, Hoboken, NJ, USA (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Miura, K., Masuda, Y., Shirasaka, S. (2023). Designing Performance Indicator in Human-Centered Agile Development. In: Zimmermann, A., Howlett, R., Jain, L.C. (eds) Human Centred Intelligent Systems. KES-HCIS 2023. Smart Innovation, Systems and Technologies, vol 359. Springer, Singapore. https://doi.org/10.1007/978-981-99-3424-9_14
Download citation
DOI: https://doi.org/10.1007/978-981-99-3424-9_14
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-3423-2
Online ISBN: 978-981-99-3424-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)