Determinants of the allocative,cost and scope efficiencies of Indian banks

ABSTRACT

This study aims to investigate the impact of competition on determinants of allocative, scope and cost efficiencies of Indian scheduled commercial banks (SCBs). Specifically, the study, analyzes the impact of the second round of licensing on the efficiency of Indian SCBs. This is the first paper to measure scope efficiency of Indian banks and analyze its determinants. A two-stage analysis is performed on a balanced panel dataset of Indian SCBs for the period 1999–2016. In the first stage, the allocative, cost and scope efficiencies for each bank are estimated following the data envelopment analysis approach. In the second stage, internal determinants of the stated efficiency measures are estimated following the system of the generalized method of moments approach. The findings suggest that competition has not resulted in enhancing the efficiency of Indian SCBs. Among factors that can influence efficiency, it is seen that size does matter. Larger banks can enhance the efficiency of SCBs. It is also seen that having more foreign banks improves the overall efficiency of SCBs. However, before embarking on further rounds of licensing, the study posits that market-driven correction to succeed, it is imperative to address sunspots in the form of investor or borrower repression.     

Localized advantage in a global economy: The case of Bangalore

This article examines how and why firms in Bangalore, a city in southern India, have achieved success in the global software industry. We use Porter's “diamond framework” to analyze information obtained from secondary sources and interviews with engineers, managers, and top executives from software firms and officials involved in Bangalore's development. While we found some aspects of the case conform to Porter's framework, many other elements tend to diverge from the model. Thus, the article contributes to the Porter's diamond model literature by extending its application to assessing the development of successful regions in knowledge‐based industries in developing economies. The discussion in the article would be of value to officials interested in creating such successful regions, as well as international business executives interested in the opportunities afforded by locating in these regions. © 2007 Wiley Periodicals, Inc.     

Open Innovation in Emerging Markets: A Business Model Perspective

There has been significant contribution to the management literature on open innovation and partnership strategy, detailing their nature and impact in a wide range of business environments. However, “strategic positioning” of the business model based on their interactions with other business entities has not received enough academic attention despite its implications for the new generation of start-ups in emerging markets who do not have any prior business models to emulate. This research conceptualizes a framework that would help strategists position their firm in the market by carefully analyzing its interactions with other business and social entities in the business eco-system.     

Failure prevention and management in business incubation: practices towards a scalable business model

How support systems such as a business incubator deal with failure, a common phenomenon in new venture creation, is less understood. Employing a value creation perspective helps us to understand failure, the inability of an entrepreneurial team to build a scalable business model. Based on case studies at nine Swedish business incubators, we develop a dynamic process model towards understanding failure prevention and management in business incubation. We find business incubation practices towards failure prevention and management to be a mix of predictive and non-predictive strategies. These practices could help prevent and mitigate failure at personal, organisational and social levels towards value creation for the startups and their stakeholders and channel the effects of failure towards social benefit.     

Empirical Analysis of Indirect Network Effects in the Market for Personal Digital Assistants

We present a framework to measure empirically the size of indirect network effects in high-technology markets with competing incompatible technology standards. These indirect network effects arise due to inter-dependence in demand for hardware and compatible software. By modeling the joint determination of hardware sales and software availability in the market, we are able to describe the nature of demand inter-dependence and to measure the size of the indirect network effects. We apply the model to price and sales data from the industry for personal digital assistants (PDAs) along with the availability of software titles compatible with each PDA hardware standard. Our empirical results indicate significant indirect network effects. By July 2002, the network effect explains roughly 22% of the log-odds ratio of the sales of all Palm O/S compatible PDA-s to Microsoft O/S compatible PDA-s, where the remaining 78% reflects price and model features. We also use our model estimates to study the growth of the installed bases of Palm and Microsoft PDA hardware, with and without the availability of compatible third party software. We find that lack of third party software negatively impacts the evolution of the installed hardware bases of both formats. These results suggest PDA hardware firms would benefit from investing resources in increasing the provision of software for their products. We then compare the benefits of investments in software with investments in the quality of hardware technology. This exercise helps disentangle the potential for incremental hardware sales due to hardware quality improvement from that of positive feedback due to market software provision.     

Meta-analysis of the relationship between quality management practices and firm performance—implications for quality management theory development

Quality management (QM) has received a high degree of attention in extant literature. Several research papers attribute superior firm performance to adoption of QM practices. The availability of a large number of research papers that investigate the impact of QM practices on performance provide an ideal setting for theory extension and refinement using meta-analysis techniques. In this paper a meta-analytic study is presented that fulfills two objectives. First, the paper formalizes performance implications of adopting QM practices and present hypothesized relationship between QM practices and performance. Second, a meta-analysis of correlation (Hunter and Schmidt, 1990) approach is used to examine the empirical research in QM to determine which QM practices are positively related to improved performance. The study also examines the presence of moderating factors in the association between QM practices and performance. The results support many hypothesized relationships and also point towards the presence of moderating factors in almost all QM practice–performance relationships. A discussion of the findings is presented and directions for further development of QM theory are proposed.