International Diversification,Business Group Affiliation and Firm Performance: Empirical Evidence from India*

We investigate the impact of business group affiliation on the relationship between international diversification and firm performance for emerging economy firms. We develop the theoretical arguments based on an integration of the literature on international diversification with the institutional theory perspective. We argue for a U‐shaped relationship between international diversification and firm performance, and suggest that a firm's affiliation to a business group moderates the relationship between international diversification and firm performance. Based on a sample of Indian firms, we find that firm performance is positively related to the degree of internationalization, while business group affiliation reduces the positive effect of internationalization on firm performance.     

Severity and determinants of stunting in children under age 2 years in Odisha (India): a tribal v/s non-tribal analysis

Prevalence of stunting among India’s tribal under-five children has witnessed a 3% annual decline in the last 8 years. Cross-sectional data of 1000 children (287 tribal and 713 non-tribal) aged 0–23 months from Odisha’s Rapid Survey of Children (RSOC, 2014) was analysed to identify the predictors of stunting and severe stunting among tribal children and to suggest policy and programme implications. Results show significant determinants of childhood stunting to be birth order, maternal illiteracy and determinants for severe stunting were maternal age <18 years at marriage and <20 years at birth, and <3 antenatal clinic visits. Severe stunting in tribal children was predicted by basic causes: poverty and maternal age <20 years at first birth and age <18 years at marriage. Findings strongly suggest to accelerate efforts towards reducing childhood stunting in Odisha more specifically among tribal children for whom a special strategy is urgently warranted.     

Multiple comparisons with a control for exponential location parameters under heteroscedasticity

In this paper, a new design-oriented two-stage two-sided simultaneous confidence intervals, for comparing several exponential populations with control population in terms of location parameters under heteroscedasticity, are proposed. If there is a prior information that the location parameter of k exponential populations are not less than the location parameter of control population, one-sided simultaneous confidence intervals provide more inferential sensitivity than two-sided simultaneous confidence intervals. But the two-sided simultaneous confidence intervals have advantages over the one-sided simultaneous confidence intervals as they provide both lower and upper bounds for the parameters of interest. The proposed design-oriented two-stage two-sided simultaneous confidence intervals provide the benefits of both the two-stage one-sided and two-sided simultaneous confidence intervals. When the additional sample at the second stage may not be available due to the experimental budget shortage or other factors in an experiment, one-stage two-sided confidence intervals are proposed, which combine the advantages of one-stage one-sided and two-sided simultaneous confidence intervals. The critical constants are obtained using the techniques given in Lam [9,10]. These critical constant are compared with the critical constants obtained by Bonferroni inequality techniques and found that critical constant obtained by Lam [9,10] are less conservative than critical constants computed from the Bonferroni inequality technique. Implementation of the proposed simultaneous confidence intervals is demonstrated by a numerical example.     

Simple Approximation Algorithms for MAXNAESP and Hypergraph 2-colorability

Hypergraph 2-colorability, also known as set splitting, is a widely studied problem in graph theory. In this paper we study the maximization version of the same. We recast the problem as a special type of satisfiability problem and give approximation algorithms for it. Our results are valid for hypergraph 2-colorability, set splitting and MAX-CUT (which is a special case of hypergraph 2-colorability) because the reductions are approximation preserving. Here we study the MAXNAESP problem, the optimal solution to which is a truth assignment of the literals that maximizes the number of clauses satisfied. As a main result of the paper, we show that any locally optimal solution (a solution is locally optimal if its value cannot be increased by complementing assignments to literals and pairs of literals) is guaranteed a performance ratio of . This is an improvement over the ratio of attributed to another local improvement heuristic for MAX-CUT (C. Papadimitriou, Computational Complexity, Addison Wesley, 1994). In fact we provide a bound of for this problem, where k 3 is the minimum number of literals in a clause. Such locally optimal algorithms appear to subsume typical greedy algorithms that have been suggested for problems in the general domain of satisfiability. It should be noted that the NAESP problem where each clause has exactly two literals, is equivalent to MAX-CUT. However, obtaining good approximation ratios using semi-definite programming techniques (M. Goemans and D.P. Williamson, in Proceedings of the 26th Annual ACM Symposium on Theory of Computing, 1994a, pp. 422–431) appears difficult. Also, the randomized rounding algorithm as well as the simple randomized algorithm both (M. Goemans and D.P. Williamson, SIAM J. Disc. Math, vol. 7, pp. 656–666, 1994b) yield a bound of for the MAXNAESP problem. In contrast to this, the algorithm proposed in this paper obtains a bound of for this problem.     

A class of k-sample distribution-free tests for location against ordered alternatives

This paper introduces a new class of distribution-free tests for testing the homogeneity of several location parameters against ordered alternatives. The proposed class of test statistics is based on a linear combination of two-sample U-statistics based on subsample extremes. The mean and variance of the test statistic are obtained under the null hypothesis as well as under the sequence of local alternatives. The optimal weights are also determined. It is shown via Pitman ARE comparisons that the proposed class of test statistics performs better than its competitor tests in case of heavy-tailed and long-tailed distributions     

Role of individuals’ virtues in relationship between emotional responses to government’s actions and their consequences

Journal of Management and Governance - In this paper, we aim to investigate the type of emotional responses that are evoked by the government’s actions and whether these emotions lead to...     

Great Expectations?: The Dubious Financial Legacy of Quality Audits

In recent years there appears to have been a veritable boom in the provision of ‘quality audits’– that is, audits of organizations' production processes and management systems. Despite the rising significance of this international audit movement affecting hundreds of thousands of organizations world‐wide, there has been limited interest in, or critique of, the practice of quality audit by academic auditing researchers. This paper traces the history of quality assurance standards and auditing and finds that quality auditing is not simply an outgrowth of an engineering inspection function. Rather, for several decades, quality auditors have consciously modelled their practice on that of the statutory financial audit, which in turn, exposes them to similar issues with regard to the long standing ‘expectations gap’ debate. Yet, despite what the authors argue are critical links with the financial audit, there has not been any notable involvement on the part of the accounting profession with quality auditing. The growing demand for ‘added‐value’ audits poses considerable questions for the future development and organizational significance of quality auditing. Current developments in both quality and financial audit services suggest that these two influential audit movements are now competing against each other to promote business excellence and contribute to business strategy.