Indian Institute of Management Tiruchirappalli

About: Indian Institute of Management Tiruchirappalli is a education organization based out in Tiruchchirappalli, India. It is known for research contribution in the topics: Emerging markets & Context (language use). The organization has 47 authors who have published 105 publications receiving 1694 citations. The organization is also known as: IIM Trichy.

Multi-level gaps: a study of intended, actual and experienced human resource practices in a hypermarket chain in India

Abstract: Multi-level (Multi-level in this paper refers to three levels- intended, actual and experienced- at which HR practices are theorised in the existing strategic human resource management process research) gaps in human resource (HR) practices have not been extensively investigated in the HR literature. Using a multiple embedded case study design within a multi-unit hypermarket chain in India, we identify ‘Intended-Actual-Experienced’ gaps across nine HR practices in seven retail units. We find that these gaps arise from implementers’ adaptation of HR practices due to different understandings of the intent of HR practices, the importance given to their contents and the processes adopted in their implementation. We propose an inductive model for emergence of multi-level gaps in HR practices. Our model depicts the processes and variables that have the potential to enable or disable adaptation, delivery and experience of HR practices, thus creating gaps between intended and experienced HR practices. Thi...

Capital Structure Choice, Information Asymmetry, and Debt Capacity: Evidence from India

Abstract: We examine the relevance of the pecking order theory of capital structure among emerging market firms in the light of their debt capacity concerns. We consider the financing choices of all public listed Indian firms during 1992 to 2011 for the empirical analysis. The estimated annual pecking order coefficients range from 0.23 to 0.56, rejecting the argument that sample firms follow the pecking order while making their financing choices. We find that the pecking order theory fares poorly among firms that face higher asymmetric information costs. It is found to be performing relatively better among firms without debt capacity concerns. We also report an improvement in the pecking order coefficient once the concave nature of the relationship between debt issuances and financial deficit is considered. However, the pecking order approach when nested in the conventional leverage regression model, adds abysmally small amount of explanatory power. Overall, we argue that the pecking order theory fails to explain sample firms’ financing choices.