Information Technology and Risk Factors for Evaluating the Banking Industry in the Taiwan: An Application of a Value Chain Dea

Wang, Mu-Shun; Lu, Shih-Tong

doi:10.3846/16111699.2014.976255

Cited by 6 publications

(4 citation statements)

References 37 publications

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“…In this analysis, inputs are, for example, labor, physical capital, purchased funds, deposits, and outputs, short, medium, and long-term loans (Kao and Liu 2014), bonds, and off-balance sheet assets (Tsionas et al 2015), revenue-generating assets (Mamatzakis et al 2015), income (Desta 2016;Abdul-Wahab and Haron 2017). Investment in technology can also be considered as input, and the number of ATMs can be used as a proxy (Wang and Lu 2015).…”

Section: Efficiencymentioning

confidence: 99%

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Bank Profitability and Efficiency in Portugal and Spain: A Non-Linearity Approach

Neves

Proença

Dias

2020

JRFM

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This paper aims to analyze the determinants of profitability and bank efficiency in the Iberian Peninsula. To achieve the proposed objective, a sample of 66 Portuguese and Spanish banks was analyzed. To test the hypotheses formulated according to the proposed literature review, the panel data methodology was used; specifically, the Generalized Method of Moments (GMM) system model proposed by and the Tobit model. The results point out that the banking performance, measured in terms of profitability and efficiency, in the Iberian Peninsula, is influenced by internal management variables, but also by the macroeconomic environment. More interestingly, and new in the Iberian banking sector literature, the results prove a positive and negative non-linear relationship between bank size and their levels of profitability and efficiency, respectively.

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Section: Efficiencymentioning

confidence: 99%

“…To analyze the determinants of efficiency, the Tobit methodology is used, since efficiency is a scale from zero to one, this being the most appropriate methodology, following Defung et al (2016) and Wang and Lu (2015). Thus, according to these authors, the model is as follows:…”

Section: Cost or Economic Efficiencymentioning

confidence: 99%

Bank Profitability and Efficiency in Portugal and Spain: A Non-Linearity Approach

Neves

Proença

Dias

2020

JRFM

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“…DEA is an analytical tool used for business effectiveness evaluations in many areas (Hadad, Friedman, & Israeli, 2005;Wang & Lu, 2015;Yao, Han, & Luo, 2010;Zhu, 2009). DEA is also known to be able to rank different models (Jablonksy, 2016) evaluate risks of the units surveyed (Aldamak & Zolfaghari, 2017;Chang, Chung, Sun, & Yang, 2012), and analytically rank risks (Sheludko & Kirova, 2018).…”

Section: Literature Review On Dea Methodsmentioning

confidence: 99%

New approach for risks ranking of the initial innovation idea using data envelopment analysis

Kirova

2019

Proceedings of 6th International Scientific Conference Contemporary Issues in Business, Management and Economics Engineering ‘2

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Purpose – this paper presents the application of Data Envelopment Analysis (DEA) for risks ranking in a graphical form at the initial stages of the innovation process, by using the innovation potential as an output parameter of DEA. Research methodology – an example of the potential change of a given innovation under the influence of certain risk is presented. The data for the risk assessment and the reduction of the potential after the expression of the risks are given. On the bases of this data, a graph for the boundaries of the risk effectiveness is constructed, according to DEA models. Findings – DEA is applicable for the risk ranking, including for risks with equal effectiveness evaluations. Research limitations – the approach is applied to risks which are initially selected for ranking. The other types of risks are not considered, and they need separate research attention. Practical implications – the new approach may be used in the initial stages of product and process innovation. Originality/Value – the innovation potential is used as an output parameter in the DEA to graphically rank the risk of the initial innovation applications.

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“…The model was also adopted by Chiu and Huang (2011), who evaluated the operational and profitability efficiencies of tourist hotels in Taiwan using the model. More recently the model has been applied in evaluating the impact of IT and risk performance in commercial banks in Taiwan (Wang & Lu, 2015). Kao (2014) summarised a wide range of network DEA studies that were based on problems identified and the models that have been developed and applied to them.…”

Section: Data Envelopment Analysis In Performance Measurementmentioning

confidence: 99%

Finance Function Performance Measurement-A Data Envelopment Analysis Approach

Migiro

Shewell

2018

JEBS

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The practice of measuring performance of the finance function as a business support unit is not widespread. This study assessed the importance of measuring finance function performance, by ascertaining whether such measurement facilitates identification of the relative efficiency of business finance functions, and by establishing its impact, if any, on overall company performance. Focussing on a sample of companies in the South African Freight Forwarding industry, a performance metric was developed and implemented to measure finance function performance. Relative finance function efficiency was then evaluated using inputorientated data envelopment analysis (DEA) to identify â€˜best in classâ€™ performance and to benchmark participantsâ€™ performance. Further, value chain DEA (VC-DEA) was applied to evaluate finance function efficiency simultaneously with overall company efficiency. Results show that implementation of the performance metric together with DEA facilitated the benchmarking of the finance functions of the sample group and the establishment of improvement targets for the finance functions determined as inefficient. In addition, a link between overall company performance and finance function performance in terms of inputs was confirmed; however, this link was not conclusively established as regards finance function performance in terms of outputs. The contribution of the study includes confirmation that implementation of the performance metric together with DEA facilitates the critical evaluation of finance function performance, thus establishing the importance of measuring the performance of the finance functions. In addition, incorporating the use of DEA in a performance framework for the finance function as a business support unit has extended the range of applications of DEA.

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Information Technology and Risk Factors for Evaluating the Banking Industry in the Taiwan: An Application of a Value Chain Dea

Cited by 6 publications

References 37 publications

Bank Profitability and Efficiency in Portugal and Spain: A Non-Linearity Approach

Bank Profitability and Efficiency in Portugal and Spain: A Non-Linearity Approach

New approach for risks ranking of the initial innovation idea using data envelopment analysis

Finance Function Performance Measurement-A Data Envelopment Analysis Approach

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