Measuring Information Technology's Indirect Impact on Firm Performance
By Yao Chen, Joe Zhu. Inf. Technol. Manag., 2004
565 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/1c0eea78bc02806e8d1bee6c5d32c1a20d351625
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Chiang Kao
- Wade D. Cook
- Liang Liang
- Joe Zhu
- Shiuh-Nan Hwang
- Chun-Hsien Wang
- Yung-Hsiang Lu
- Chin-Wei Huang
In Management Science and Operations Research
In Strategy and Management
- Chiang Kao
- Wade D. Cook
- Liang Liang
- Shiuh-Nan Hwang
- Joe Zhu
- Chun-Hsien Wang
- Yung-Hsiang Lu
- Chin-Wei Huang
Citations in the corpus
- Network data envelopment analysis: A review (2014, methodology): “Chen and Zhu (2004) used a process distance measure model to find the input efficiency of process one and the output efficiency of process two, with weights representing the relative importance of the processes in forming the system efficiency.”
- Data envelopment analysis 1978-2010: A citation-based literature survey (2013, background): “Chen and Zhu [77], Kao and Hwang [78], and Chen et al.”
- Measuring performance of two-stage network structures by DEA: A review and future perspective (2010, methodology): “[25] show that the following CRS version of the Chen and Zhu’s [10] model is equivalent to model (3).”
- Additive efficiency decomposition in two-stage DEA (2009, background): “For example, banks use labor and assets to generate deposits which are in turn used to generate loan income (Chen and Zhu, 2004).”
- DEA models for supply chain efficiency evaluation (2006, background): “Seiford and Zhu (1999) and Chen and Zhu (2004) provide two approaches in modeling efficiency as a two-stage process. Along a related line, Färe and Grosskopf (2000) develop the network DEA approach to model general multi-stage processes with intermediate inputs and outputs. Golany, Hackman, and Pass”
- Data envelopment analysis (DEA) - Thirty years on (2009, background): “Seiford and Zhu ( 1999c ) and Chen and Zhu ( 2004 ) provide two approaches in modeling two - stage processes .”
- R&D, productivity, and market value: An empirical study from high-technology firms (2013, methodology): “Chen and Zhu [56] show that these processes can be used to estimate the R&D value chain efficiency of high-tech firms.”
- DEA models for two‐stage processes: Game approach and efficiency decomposition (2008, methodology): “Such an action would, however, imply a reduction in the first stage outputs, thereby reducing the efficiency of that stage.”