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The key performance indicators (KPIs) and their impact on overall organizational performance

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  • M. Ishaq Bhatti
  • H. Awan
  • Z. Razaq

Abstract

The concept of performance management is used by most of the organizations to ensure that either they are going on the right path or not. For managing the performance the organizations are required to know about the performance indicators. This paper explores the key performance indicators (KPIs) and impact of these KPIs on the overall organizational performance in manufacturing sector in Pakistan. The data for present study collected from the top level management of the 84 best manufacturing organizations in Pakistan by using a structured questionnaire and the impact of KPIs on the overall performance of the manufacturing organizations were evaluated. The results show that the manufacturing organizations put more focus on the customer satisfaction and Delivery reliability in terms of performance measurement. And measuring the performance in terms of cost, financial, quality, time, flexibility, delivery reliability, safety, customer satisfaction, employees’ satisfaction and social performance indicators have positive significant impact on the overall organization’s performance. This paper puts together all important performance indicators used by organizations in a single list and check their impact on the overall performance indicator index of the Organizations. As Pakistan is among the developing countries, this study will serve as a valuable guideline for several manufacturing organizations operating in other developing countries of the world. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • M. Ishaq Bhatti & H. Awan & Z. Razaq, 2014. "The key performance indicators (KPIs) and their impact on overall organizational performance," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3127-3143, November.
    • Handle: RePEc:spr:qualqt:v:48:y:2014:i:6:p:3127-3143
    DOI: 10.1007/s11135-013-9945-y
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    References listed on IDEAS

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    3. Zdenka Gyurák Babeľová & Augustín Stareček, 2021. "Evaluation of industrial enterprises' performance by different generations of employees," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 9(2), pages 346-362, December.
    4. Nora CHIRIȚĂ & Andrei VIȘAN & Mihaela POPESCU, 2020. "Measuring Adobe Company performance from the perspective of a Complex Adaptive System," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(4(625), W), pages 55-72, Winter.
    5. Lubna Q. OWAIS, 2021. "A Brief Overview Of Performance Management Systems," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 25, pages 23-30, May.
    6. Snežana Nestić & Ranka Gojković & Tijana Petrović & Danijela Tadić & Predrag Mimović, 2022. "Quality Performance Indicators Evaluation and Ranking by Using TOPSIS with the Interval-Intuitionistic Fuzzy Sets in Project-Oriented Manufacturing Companies," Mathematics, MDPI, vol. 10(22), pages 1-19, November.
    7. Ciprian Cristea & Maria Cristea, 2021. "KPIs for Operational Performance Assessment in Flexible Packaging Industry," Sustainability, MDPI, vol. 13(6), pages 1-18, March.
    8. Ionuț NICA & Nora CHIRIȚĂ & Ștefan IONESCU, 2021. "Using of KPIs and Dashboard in the analysis of Nike company's performance management," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(626), S), pages 61-84, Spring.
    9. Diogo Rodrigues & Radu Godina & Pedro Espadinha da Cruz, 2021. "Key Performance Indicators Selection through an Analytic Network Process Model for Tooling and Die Industry," Sustainability, MDPI, vol. 13(24), pages 1-20, December.
    10. Carmen B. Rosa & Graciele Rediske & Paula D. Rigo & João Francisco M. Wendt & Leandro Michels & Julio Cezar M. Siluk, 2018. "Development of a Computational Tool for Measuring Organizational Competitiveness in the Photovoltaic Power Plants," Energies, MDPI, vol. 11(4), pages 1-13, April.
    11. Michael Huber & Nikola Komatina & Vladan Paunović & Snežana Nestić, 2023. "Analysis of the Relationship between the Organizational Resilience Factors and Key Performance Indicators’ Recovery Time in Uncertain Environments in Industrial Enterprises," Mathematics, MDPI, vol. 11(14), pages 1-19, July.
    12. Zhang, Haili & Song, Michael & Wang, Yufan, 2023. "Does AI-infused operations capability enhance or impede the relationship between information technology capability and firm performance?," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    13. Henao, Rafael & Sarache, William, 2022. "Sustainable performance in manufacturing operations: The cumulative approach vs. trade-offs approach," International Journal of Production Economics, Elsevier, vol. 244(C).
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