Subsidiary-specific advantages for inter-regional expansion: The role of intermediate units

This paper explores the distinctive deployment of resources and capabilities by subsidiaries in order to develop an intermediate role within the MNC. Based on the regional management perspective, we focus on a specific intermediate role—the springboard subsidiary—that helps overcome the liability of inter-regional foreignness. Our results, which are based on a dataset covering 188 subsidiaries, show that the probability of taking on this role is contingent upon experiential knowledge about the target region, as well as a rich knowledge base derived from a wide range of activities and a broad geographical scope. Our findings also show that possession of slack resources does not necessarily mean that a subsidiary will take on this role, as such slack must be combined with experiential knowledge. This paper serves as a first step in helping MNCs plan resource allocation to handle inter-regional expansion.     

Toward a Fine Balance: Cross-Cultural Comparison of Work–Family Identities

This study investigates the differences in the salience of work and family identities between samples of employees in the United States and India. The authors hypothesized the effects of cultural differences on these workers' salient identities. Additionally, the authors hypothesized that across cultures a balance in the importance of family and work identities achieved by an individual would lead to greater job and life satisfaction and fewer intentions to turnover. Structural equation modeling tests support the authors' hypotheses. This article contributes toward an understanding of cross-cultural differences and even some similarities in work–family identity issues and the outcomes a balance in them engender.     

Stock Market Valuation of Deferred Tax Assets: Evidence from Internet Firms

Abstract:   We use the provisions of SFAS No. 109 , Accounting for Income Taxes , to examine the extent to which stock prices of Internet firms were associated with expectations of future profitability before versus after the 'market correction' in early 2000. We find that the valuation of deferred tax assets of firms with business models reliant on the level of web site traffic was significantly greater after the market correction. In our view, this evidence is consistent with pre‐correction mispricing.     

Earnings Smoothing,Cash Flow Volatility,and CEO Cash Bonus

Prior studies generally relate managers’ decisions to smooth earnings to their desire to maximize their overall compensation and to smooth their consumption. However, earnings smoothing could also be driven by the firm's expected benefits from reporting a smooth earnings stream. Our paper provides empirical support for the latter explanation of earnings smoothing. Specifically, we find that while CEO bonus on average increases with earnings smoothing, the increase is larger when the firm's cash flow volatility is higher. Further, CEO bonus is shielded from the negative effects of lower earnings arising from the need to report a smoother earnings stream.     

Does stardom affect the informativeness of a CEO's insider trades?

This study examines whether the celebrity or star status of a chief executive officer (CEO) affects the informativeness of his insider trades. Using three different measures to identify star CEOs in a sample of S&P 1500 firms, we find that trades of non‐star CEOs predict future abnormal returns and earnings innovations and that trades of star CEOs do not. The predictive power of non‐star CEO trades is mostly attributable to opportunistic trades, not routine trades. We also find evidence suggesting that the abnormal returns associated with non‐star CEO insider trades are due to the lower visibility and consequently less scrutiny of non‐star CEOs compared with star CEOs.     

Impact of MGNREGA on the livelihood security of rural poor in India: a study using national sample survey data

This paper studies the impact of the Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGA) at the all-India level utilizing nationally representative data from the national sample survey (NSS). We propose an alternative methodology for the proper identification of target households in the baseline period using a secondary data source such as the NSS. The programme is assessed in terms of whether it has been successful in ensuring livelihood security for beneficiary households. The study found that the increase in spending capacity of non-beneficiary households was greater than MGNREGA beneficiary households. Moreover, the overall growth trend in spending capacity over time had a greater effect in improving the livelihood security of the target households than the estimated effect of the programme.     

Productivity and efficiency dynamics in Indian banking: An input distance function approach incorporating quality of inputs and outputs

Banking technology is typically characterized by multiple inputs and multiple outputs that are associated with various attributes, such as different types of deposits, loans, number of accounts, classes of employees and location of branches. These quality differentials in inputs and outputs are mostly ignored in empirical studies. These omissions make the practical value of productivity studies in organizations like banks questionable because quality is a key component of performance. This paper proposes using hedonic aggregator functions (as a tool of aggregating inputs and outputs with quality attributes) within an input distance function framework and analyzes the impact of banking deregulation on efficiency and total factor productivity (TFP) change in the Indian banking industry using panel data for the period 1996–2005. Empirical results indicate that banks have improved their efficiency (from 61% in 1996 to 72% in 2005) during the post‐deregulation period, and the gain in efficiency of state‐owned banks has surpassed that of private banks. Improvement in capital base, as indicated by increased capital adequacy ratio, played an important role in ushering efficiency gain. The return to scale estimate suggests that state‐owned banks are operating far above their efficient scale and cost savings can be obtained by reducing their size of operations. Overall, TFP growth was above 3.5% annually. Both technical progress and technical efficiency change consistently played an important role in shaping TFP growth. Copyright © 2010 John Wiley & Sons, Ltd.     

GLOBALISATION: PAST AND PRESENT

This article compares and contrasts the two modern eras of globalisation, namely the one that started in the mid-nineteenth century and ended on the eve of World War I, and the contemporary era. Although in both periods globalisation brought down national barriers and integrated economies and societies, there were distinct characteristic features of both periods. For example, the scale of global integration through trade and financial channels during the contemporary era was unmatched by the previous phase of globalisation. Furthermore, never in history had global integration involved so many countries and people, both in absolute numbers and as a percentage of the global population.     

E-commerce sellers' ratings: Is user feedback adequate?

The literature on the theory of public procurement points out two well-known informational problems arising out of information asymmetry: (i) adverse selection and (ii) moral hazard. To reduce these issues and foster credibility and trust in the procurement process while maintaining quality and efficiency in public procurement, e-procurement platforms have turned to reputation or rating systems. Therefore, the research and design of such rating systems are crucial. In this study, we discuss the theoretical underpinnings of procurement and employ the information-theoretic, regression analysis, artificial neural network and principal component analysis (PCA) approaches to estimate the weights of the variables entering the rating system. Using real data from Government e-Marketplace, a business-to-business public e-commerce portal, we empirically determine the weights of the rating variables derived from the transaction-level and user feedback data for sellers. The weights obtained from the PCA are the most applicable compared with the other three methods. We compare the old rating system with the newly proposed design using the Wilcoxon signed-rank test. This results in a statistically significant difference between the two ratings. The canonical correlation and Wilks' trial reveal that the ratings derived from transaction-level data and user feedback are uncorrelated to a great extent. Hence, considering only transaction-level data or user feedback is unlikely to divulge sellers' intrinsic worth. E-commerce platforms can use this approach to quickly implement methods to obtain rating scores on a real-time basis for sellers on online platforms.