IIMB Management Review最新文献

We explore changes in newcomers’ values from the day they join their first job, over time. In an engineering company (N = 244), after one month of classroom training, newcomers showed an increase in self-enhancement values and a reduction in self-transcendence values. In a bank (N = 59), after 18 months on-the-job experience, newcomers’ values showed a reduction in self-transcendence. In an automobile company (N = 64), the supervisor's transformational leadership enhanced self-transcendence values and reduced self-enhancement values of newcomers. We also found that transformational leadership of the newcomer's supervisor was positively related to enhancement of the newcomer–supervisor value congruence.

Workforce diversity literature highlights adverse effects of surface diversity on employee affect. We examine the applicability of surface diversity effects in the Indian social milieu. Since diversity effects are context-specific, in a first, we test the moderating impact of employee's perceived organisational politics on the inclusion mediated diversity-well-being link among 617 employees from Indian organisations. Post ascertaining the measurement model fit using AMOS 22, we used PROCESS to test for moderated-mediation effects. Perception of organisational politics moderated the surface diversity–inclusion–well-being link such that inclusion was found to be weaker for employees who perceived high politics. We discuss the implications for managers.

This study examines the ability of online ticker searches to serve as a valid proxy for investor sentiment and forecast stock returns and trading volumes in the Indian financial market. In contrast to the findings in prior research, we observe that ticker search volumes do not exhibit any predictive value for future excess stock returns. However, we find a weak but significant positive effect of ticker search volumes on trading volume with a two-week lag. A battery of robustness checks supports our findings. Our work warns the investors from possible misleading insights arising from search volume and stock returns related studies.

Prior research reports that corporate debt restructuring can increase the stability of the participating bank by inflating the provision of restructured loans. This study evaluates how the stability of Bangladeshi commercial banks has changed following the implementation of the regulator-initiated corporate debt restructuring (RCDR) policy. Our comprehensive bank-level analysis reveals that debt restructuring has led to a reduction in non-performing loans (NPLs) and the provision of participating banks; however, these banks continue to experience lower stability after the policy period. This study provides a new and important insight into the debate on the effectiveness of debt restructuring on bank performance.

Loss given default (LGD) is a critical element in estimating expected as well as unexpected credit losses in banking business. This article investigates written-off history of Indian banks and provides estimates of LGD on loans across sectors, loan facilities and collateral type. The study is based on internal loss data obtained from various scheduled commercial banks in India over twenty years. A multifactor tobit regression model has also been developed to capture the key determinants affecting LGD that will be helpful to predict future losses of Indian banks. LGD trends over various time periods have also been assessed to establish their linkage with probability of default.

In this paper, we develop a basic regional e-tailing adoption model based on the “diffusion of innovations” (DOI) theory and the “ability-motivation-opportunity” (AMO) framework. We empirically test the model using ordinary least squares and Poisson regression on district-level e-tailing packages data collected from India Post. Further, we use a neural network model to classify districts into high/low e-tailing potential with 78% accuracy. Apart from its theoretical contribution, the adoption model can also be used by e-tailers to support their regional targeting decisions.

This paper focusses on the interaction between technology, the business environment, regulation, and society in ICT industries. The role of technological advances in communication (e.g., cellular mobile, 5 G, spectrum allocation) and in computational advances (e.g., cloud, Internet of Things, artificial intelligence) along with developments in the business environment (e.g., disruption, convergence, Industry 4.0) and the regulatory environment (e.g., competition law and market regulation) in the model is explained. The economics of network industries and competition law and strategies such as vertical integration, bundling, and tying are described. The role of regulation and innovation is discussed along with some cases.

Professionalisation of the roles that union officials play necessitates certain competencies in them to increase union effectiveness. This paper attempts to understand managerial competencies for union officials in the Indian context. Adopting an interdisciplinary approach, we developed a “mixed model” by matching competencies of student activists with those of union officials. Behavioural event interviews conducted with thirty-six union officials led to a competency dictionary with four competencies: result orientation, aligning critical constituencies, networking skills, and effective feedback sharing. Resting on the classical competency theories which have not seen application in industrial relations (IR) scholarship, this paper provides an actionable path to enhance union effectiveness.