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Review of Organizational Performance Measurement and KPI Cascading for High-Growth Enterprises
Subject area: Management and Commerce · Area of research: Performance Management
Abstract
High-growth enterprises operate in dynamic environments where strategic alignment, operational agility, and consistent performance monitoring are crucial for sustaining competitiveness. Organizational performance measurement frameworks provide the foundation for assessing effectiveness, efficiency, and value creation, while Key Performance Indicator (KPI) cascading ensures that strategic objectives are systematically translated into actionable goals across all organizational levels. This review synthesizes existing literature on performance measurement systems and KPI cascading models, highlighting their relevance to the unique challenges faced by high-growth enterprises such as scalability, rapid market adaptation, and talent management. Emphasis is placed on examining how balanced scorecards, strategy maps, and integrated analytics tools enable goal alignment, while also identifying gaps in adaptability, contextualization, and data governance. The review further explores best practices, emerging trends such as AI-driven KPI management, and practical implications for managers. Findings underscore the importance of aligning KPIs with both financial and non-financial dimensions, embedding cascading mechanisms into organizational culture, and ensuring flexibility to adapt to growth stages. This paper contributes to bridging theory and practice by providing a consolidated understanding of how performance measurement and KPI cascading can foster sustainable growth trajectories in rapidly scaling enterprises.
Keywords
Organizational Performance Measurement, KPI Cascading, High-Growth Enterprises, Strategic Alignment, Balanced Scorecard, Performance Analytics.
References
[1] Adeniyi Ajonbadi, H., Aboaba Mojeed-Sanni, B., & Otokiti, B. O. (2015). Sustaining competitive advantage in medium-sized enterprises (MEs) through employee social interaction and helping behaviours. Journal of Small Business and Entrepreneurship, 3(2), 1-16.
[2] Aguinis, H. (2015). Performance management. Pearson Education.
[3] Ajonbadi, H. A., Lawal, A. A., Badmus, D. A., & Otokiti, B. O. (2014). Leadership and organisational performance in the Nigeria small and medium enterprises (SMEs). American Journal of Business, Economics and Management, 36(2), 124-138.
[4] Ajonbadi, H. A., Otokiti, B. O., & Adebayo, P. (2016). The efficacy of planning on organisational performance in the Nigeria SMEs. European Journal of Business and Management, 24(3), 25-47.
[5] Amos, A. O., Adeniyi, A. O., & Oluwatosin, O. B. (2014). Market based capabilities and results: inference for telecommunication service businesses in Nigeria. European Scientific Journal, 10(7).
[6] Bititci, U., Garengo, P., Dörfler, V., & Nudurupati, S. (2016). Performance Measurement: Challenges for Tomorrow.
[7] Bourne, M., Franco-Santos, M., Pavlov, A., Lucianetti, L., Martinez, V., & Mura, M. (2018). Performance measurement and management: A system of systems perspective. International Journal of Production Research, 56(8), 2788–2799.
[8] Bourne, M., Pavlov, A., Franco-Santos, M., Lucianetti, L., & Mura, M. (2017). Performance measurement and management: A system of systems perspective. International Journal of Production Research, 55(18), 5297–5311.
[9] Brynjolfsson, E., & McElheran, K. (2016). The rapid adoption of data-driven decision-making. American Economic Review, 106(5), 133–139. https://doi.org/10.1257/aer.p20161016
[10] Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.
[11] de Villiers, C., Rouse, P., & Kerr, J. (2016). A new conceptual model of influences driving sustainability based on case evidence of the integration of corporate sustainability management control and reporting. Journal of Cleaner Production, 136, 78–85.
[12] Eccles, R. G., Ioannou, I., & Serafeim, G. (2014). The impact of corporate sustainability on organizational processes and performance. Management Science, 60(11), 2835–2857.
[13] Franco-Santos, M., & Otley, D. (2018). Reviewing and Theorizing the Link between Performance Measurement and Management.
[14] Franco-Santos, M., & Otley, D. (2018). Reviewing and theorizing the unintended consequences of performance management systems. International Journal of Management Reviews, 20(3), 696–730.
[15] Ittner, C. D., & Larcker, D. F. (2017). Performance effects of balanced scorecard adoption: A multilevel analysis. Accounting Review, 92(3), 1–35.
[16] Jourdan, Z., Rainer, R. K., & Marshall, T. E. (2014). Business intelligence: An analysis of the literature. Information Systems Management, 25(2), 121–131.
[17] Kaplan, R. S., & Norton, D. P. (2014). The Balanced Scorecard: Translating strategy into action. Harvard Business Review Press.
[18] Kaplan, R. S., & Norton, D. P. (2015). The Balanced Scorecard: Translating strategy into action. Harvard Business Review Press.
[19] Marr, B. (2015). Key performance indicators: The 75 measures every manager needs to know. Pearson UK.
[20] Melnyk, S. A., Bititci, U., Platts, K., Tobias, J., & Andersen, B. (2014). Is performance measurement and management fit for the future? Management Accounting Research, 25(2), 173–186. https://doi.org/10.1016/j.mar.2013.07.007
[21] Menson, W. N. A., Olawepo, J. O., Bruno, T., Gbadamosi, S. O., Nalda, N. F., Anyebe, V., ... & Ezeanolue, E. E. (2018). Reliability of self-reported Mobile phone ownership in rural north-Central Nigeria: cross-sectional study. JMIR mHealth and uHealth, 6(3), e8760.
[22] Micheli, P., & Mura, M. (2017). Executing strategy through comprehensive performance measurement systems. International Journal of Operations & Production Management, 37(4), 423–443.
[23] Neely, A., & Adams, C. (2014). Perspectives on Performance Measurement and Management Systems.
[24] Neely, A., Gregory, M., & Platts, K. (2014). Performance measurement system design: A literature review and research agenda. International Journal of Operations & Production Management, 34(3), 174–200.
[25] Neely, A., Gregory, M., & Platts, K. (2017). Performance measurement system design: A literature review and research agenda. International Journal of Operations & Production Management, 15(4), 80–116. https://doi.org/10.1108/01443579510083622
[26] Otley, D. (2016). The contingency theory of management accounting and control: 1980–2014. Management Accounting Research, 31, 45–62. https://doi.org/10.1016/j.mar.2016.02.001
[27] Otokiti, B. O. (2017). A study of management practices and organisational performance of selected MNCs in emerging market-A Case of Nigeria. International Journal of Business and Management Invention, 6(6), 1-7.
[28] Otokiti, B. O. (2017). Social media and business growth of women entrepreneurs in Ilorin metropolis. International Journal of Entrepreneurship, Business and Management, 1(2), 50-65.
[29] Otokiti, B. O., & Akorede, A. F. (2018). Advancing sustainability through change and innovation: A co-evolutionary perspective. Innovation: Taking creativity to the market. Book of Readings in Honour of Professor SO Otokiti, 1(1), 161-167.
[30] Pauwels, K., Ambler, T., Clark, B. H., LaPointe, P., Reibstein, D., Skiera, B., ... & Wiesel, T. (2016). Dashboards as a service: Why, what, how, and what research is needed? Journal of Service Research, 12(2), 175–189. https://doi.org/10.1177/1094670509336746
[31] Pauwels, K., Ambler, T., Clark, B. H., LaPointe, P., Reibstein, D., Skiera, B., ... & Wiesel, T. (2016). Dashboards as a service: Why, when, and how to use them. Journal of Marketing, 80(2), 1–19.
[32] Popovič, A., Hackney, R., Coelho, P. S., & Jaklič, J. (2016). Towards business intelligence systems success: Effects of maturity and culture on analytical decision making. Decision Support Systems, 54(1), 729–739.
[33] Sardi, A., Sorano, E., & Ferraris, A. (2018). A systematic review of performance measurement and management systems. International Journal of Productivity and Performance Management, 67(9), 1859–1883.
[34] Scholten, J., Eneogu, R., Ogbudebe, C., Nsa, B., Anozie, I., Anyebe, V., ... & Mitchell, E. (2018). Ending the TB epidemic: role of active TB case finding using mobile units for early diagnosis of tuberculosis in Nigeria. The international Union Against Tuberculosis and Lung Disease, 11, 22.
[35] Sharma, R., Mithas, S., & Kankanhalli, A. (2014). Transforming decision-making processes: A research agenda for understanding the impact of business analytics on organizations. Information Systems Research, 25(4), 796–817.
How to cite this paper
@article{1711013,
author = {Oladipupo Fasawe, Opeyemi Morenike Filani, Christiana Onyinyechi Okpokwu},
title = {Review of Organizational Performance Measurement and KPI Cascading for High-Growth Enterprises},
journal = {Iconic Research And Engineering Journals},
year = {2018},
volume = {2},
number = {2},
pages = {125-138},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1711013.pdf},
abstract = {High-growth enterprises operate in dynamic environments where strategic alignment, operational agility, and consistent performance monitoring are crucial for sustaining competitiveness. Organizational performance measurement frameworks provide the foundation for assessing effectiveness, efficiency, and value creation, while Key Performance Indicator (KPI) cascading ensures that strategic objectives are systematically translated into actionable goals across all organizational levels. This review synthesizes existing literature on performance measurement systems and KPI cascading models, highlighting their relevance to the unique challenges faced by high-growth enterprises such as scalability, rapid market adaptation, and talent management. Emphasis is placed on examining how balanced scorecards, strategy maps, and integrated analytics tools enable goal alignment, while also identifying gaps in adaptability, contextualization, and data governance. The review further explores best practices, emerging trends such as AI-driven KPI management, and practical implications for managers. Findings underscore the importance of aligning KPIs with both financial and non-financial dimensions, embedding cascading mechanisms into organizational culture, and ensuring flexibility to adapt to growth stages. This paper contributes to bridging theory and practice by providing a consolidated understanding of how performance measurement and KPI cascading can foster sustainable growth trajectories in rapidly scaling enterprises.},
keywords = {Organizational Performance Measurement, KPI Cascading, High-Growth Enterprises, Strategic Alignment, Balanced Scorecard, Performance Analytics.},
month = {August},
}