Financial reforms and technical efficiency in Indian commercial banking: A generalized stochastic frontier analysis

In this study we estimate technical efficiency of Indian commercial banks from 1989 to 2009, using a multiple-output generalized stochastic production frontier and analyze the effects of financial reforms on estimated efficiency. The generalized method estimates technical efficiency in the presence of multiple outputs, filling a gap in the existing literature. Our results show that Indian commercial banks were operating with 64% efficiency on average during the sample period. The initial phase of reform had a positive impact on while the later phase adversely affected technical efficiency of banks. Public sector banks show higher efficiency levels compared to private and foreign banks.     

Analysing retail failure from an historical perspective: A case study of A. Goldberg & Sons plc

Organisational failure has been considered from various perspectives in the academic literature, but there has been less focus on the causes of retail failure. This paper considers the case of A. Goldberg and Sons plc, a retail organisation which, prior to its demise in 1990, had grown from a single Glasgow store in 1908 to a chain of over 100 outlets. Drawing on annual reports, interviews with former directors, and the contents of a company archive, the paper provides evidence of the key factors and decisions that led to the firm's failure. Various internal and external pressures, including over-expansion into new retail space and the general economic downturn, effected Goldberg's ‘failure’.     

The selection of supply chain management projects: A case study approach

Organizations undertake strategic supply chain initiatives through project implementation. However, selecting the right supply chain projects can be difficult due to high levels of organizational risk and technical complexity. Although the literature is rich in quantitative and qualitative methods for project management, prior research into best management practices specific to supply chain management (SCM) project selection is limited. This paper examines the methods used in evaluating and selecting SCM projects used by the management at three publically held multi-national organizations. The primary objective of this research is to identify a set of generalizable good practices in the selection and evaluation of SCM projects. Nine useful business practices in SCM project selection have been identified based on cross-case comparisons and a close examination of the literature. Eight practices had been previously identified, but were scattered throughout the literature on ERP, IT management, and R&D management. A new practice calls for the consideration of supply chain partners’ return-on-investment (ROI) in the project selection process. Highest preference should be given to win-win projects for the organization and its partner(s). The practices identified here sho`uld provide the foundation of practical guidelines that can be used during the planning stage of SCM projects. This paper reduces the knowledge gap in SCM project management by analyzing organizations with significant supply chain experience and synthesizing these results with the current related literature.     

Marketing challenges of technical industries in developing countries

A rapidly changing technology-based industry such as electronics in the environment of a developing country has many unique problems in organizational marketing. The problems and possible strategies under such conditions are discussed in this article.     

Deconstructing the notion of blame in corporate failure

Corporate failure is the subject of considerable academic debate since the 1960s. Failure in the retail sector receives less attention however. This paper addresses the notion of blame in corporate failure. Reference to A Goldberg and Sons, a failed retailer, exemplifies the discussion. Prior to bankruptcy in 1990, this firm was a successful Scottish department store and clothing retailer. The study takes a historical approach, using in-depth interviews, archival material, and other secondary data sources. Findings reveal that, despite warning signs from various key performance indicators and external reviews, the company's board failed to act appropriately. A series of bad strategic decisions contributed to the company's failure. In line with theories of blame attribution, through their (in)actions, the board's negligence played a major role in the firm's demise.     

The joint information role of analysts’ cash flow and earnings forecasts

We study whether the relative magnitudes of analysts’ cash flow and earnings forecasts convey information about the persistence and value relevance of reported earnings. We find that reported earnings are likely to be more (less) persistent and value relevant when analysts forecast relatively moderate (extreme) levels of operating cash flows, relative to earnings. We also find that the market’s response to a given earnings surprise is the strongest for moderate levels of cash flow forecasts relative to earnings. The joint information role of analysts’ cash flow and earnings forecasts persists even after controlling for the absolute accruals in the model.     

Omitted variables,variability of estimated parameters and the appearance of autocorrelated disturbances

This paper shows that in a standard regression model with omitted variables, the OLS formula for the estimated variance matrix of the regression coefficients is more likely to underestimate the appropriate criterion of estimator reliability which is the Mean Square Errors matrix. Using examples of two and three regressor models, we show that overestimation, though possible, occurs in rather special cases. Throughout, our analysis is contrasted with that of Chaudhuri (1977) and clarifies some ambiguities of that paper. Finally, we disagree with Chaudhuri who distinguishes between the corresponding coefficients in the correct and the misspecified models. This distinction is inappropriate and leads to a misplaced criticism of some GLS variants when errors are serially correlated. A first-order Markov process is an inexact representation of serial correlation which is due to omitted regressors.