Multi-factor performance measure model with an application to Fortune 500 companies
By Joe Zhu. European Journal of Operational Research, 2000
524 citations recorded by the source corpus.
Subfields: Management Information Systems, Management Science and Operations Research, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/d7f8ecbeb77b20606d0bafeff026bb5bac30caa9
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In Management Information Systems
- Chiang Kao
- K. Khalili-Damghani
- Madjid Tavana
- Liang Liang
- Wade D. Cook
- Joe Zhu
- Shiuh-Nan Hwang
- Yao Chen
In Management Science and Operations Research
- Chiang Kao
- Madjid Tavana
- Wade D. Cook
- Liang Liang
- K. Khalili-Damghani
- Joe Zhu
- Shiuh-Nan Hwang
- Yao Chen
In Strategy and Management
- Chiang Kao
- Wade D. Cook
- Liang Liang
- Shiuh-Nan Hwang
- K. Khalili-Damghani
- Madjid Tavana
- Joe Zhu
- Ramakrishnan Ramanathan
Citations in the corpus
- Network data envelopment analysis: A review (2014, background): “Based on this work, studies have been carried out of the Fortune 500 companies (Zhu, 2000), 245 banks in the US with assets greater than one billion US dollars (Luo, 2003), 14 financial holding companies in Taiwan (Lo & Lu, 2006, 2009), US S&P 500 firms (Lo, 2010), 40 IC fabless firms in Taiwan (Lu ”
- A new two-stage Stackelberg fuzzy data envelopment analysis model (2014, methodology): “Zhu [68] applied the same two-stage process to the Fortune Global 500 companies.”
- The impact of marketing capability, operations capability and diversification strategy on performance: A resource-based view (2010, background): “Such choice of measures is well supported in DEA literature like to study profitability efficiency of Fortune 500 companies (Zhu, 2000); operational efficiency of third party logistics providers (Min & Joo, 2006).”
- Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan (2008, background): “Zhu (2000) follows the same idea to analyze the financial efficiency of the best 500 companies as ranked by Fortune.”
- Measuring performance of two-stage network structures by DEA: A review and future perspective (2010, background): “Zhu [3] applies the same two-stage network structure to the Fortune Global 500 companies.”
- Measuring Information Technology's Indirect Impact on Firm Performance (2004, background): “DEA has been proven effective in performance evaluation when multiple performance measures are present [30,32].”
- A New Method for Predicting the Ingredients of Self-Compacting Concrete (SCC) Including Fly Ash (FA) Using Data Envelopment Analysis (DEA) (2020, background): “Hence, DEA has been rapidly expanded in different field of studies [54, 55] and it compatible well with business practices and it has been recognized as a worthy analytical investigation instrument.”