Process Innovation and Company Performance - Quantitative Strategies based on Process Efficiency

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Type and Duration

FFF-Förderprojekt, December 2023 until October 2024

Coordinator

Technology & Innovation

Main Research

Growth and Complexity

Description

Efficiency improvements in corporate processes are crucial for sustainable and environmentally conscious use of available resources, so that future generations can also benefit. While many studies highlight the importance of product innovations, there are few that investigate the direct relationship between process innovation and company performance. The main goal of the research project is to identify the extent to which process innovations, leading to efficiency gains, have a positive effect on company performance. In the research project, efficiency gains are quantified through a Data Envelopment Analysis (DEA). The resulting process efficiency is expected to explain part of the company's growth and future performance. Various DEA models will be identified, developed, and tested for measuring process innovation. The project aims to build on previous research, particularly by Hörler and Brecht (2023), to develop practice-relevant applications for the economic landscape of Liechtenstein.

Practical Application

The research project makes a significant contribution to science by extending DEA-based efficiency measurement to process innovations. It aims to demonstrate the extent to which efficiency gains can improve company performance and identifies patterns that distinguish efficient from less efficient companies. For the efficient companies, Best Practice Cases can subsequently be derived. Likewise, these findings are important for economic enterprises as they reveal new performance indicators for companies, which is of great significance for Liechtenstein as a financial center.

Reference to Liechtenstein

The local financial industry can measure the performance of companies through the analysis of process efficiency and innovation activities with modern DEA indicator models, allowing fund and asset managers to use these insights for their financial products. Focusing on a European sample and the long-term perspective over two decades increases the local relevance and strategic depth of the research, which is particularly relevant for teaching at the University of Liechtenstein and the financial industry in Liechtenstein.
Keywords: Process innovation, Innovation, Company performance, Efficiency improvement

Keywords

Innovation, Process Innovation, Company Performance, Efficiency improvement

Principal Investigator

Project Collaborator