Milind Sathye

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This paper empirically investigates the x-eciency (technical and allocative) in Australian banks. A non-parametric method of Data Envelopment Analysis (DEA) has been used to arrive at the eciency scores. Banks in this sample were found to have low levels of overall eciency compared with the banks in the European countries and in the US. The results(More)
The objective of this paper is to measure the productive efficiency of banks in a developing country, that is, India. The measurement of efficiency is done using Data Envelopment Analysis (DEA). Two models have been constructed to show how efficiency scores vary with change in inputs and outputs. The efficiency scores, for three groups of banks, that is,(More)
This paper investigates the impact of the introduction of transactional Internet banking on performance and risk profile of major credit unions in Australia. Performance was measured using linear programming technique of data envelopment analysis and regressed on relevant explanatory variables using censored normal regression. Accounting data were used to(More)
The present study, according to our knowledge, is the first attempt to establish a financial distress prediction model for a unique set of enterprises, which are the enterprises listed on the specialized Hong Kong Growth Enterprise Market. It also makes an analysis of corporate financial sustainability and its relationship to financial distress prediction.(More)
We analyse the factors that led to the turnaround of the Indian Railways from a low performing organisation to a high performing one. Literature on public sector turnaround provides the theoretical underpinnings. Enterprise turnaround is often ascribed to managerial leadership; we found that environmental factors (good luck) contributed in a substantial way(More)
We investigate the factors influencing the intention to use of mobile value added services in the Pacific island of Fiji. Technology adoption literature suggests that perceived usefulness and perceived ease of use influence intention to adopt new technology. However, behavioral research suggests that intention to adopt is influenced by social norms. We(More)