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This paper aims to investigate the short- and long-run influence of core banking solutions (CBSs) on productive efficiency and identify the presence of potential network externalities arising from CBS adoption. This paper further examines the differential behaviour of long-term effects across the banking structure.

This study uses a panel data set of Indian commercial banks from 2005 to 2021. Economic efficiency is quantified using VRS-based DEA programming algorithms. Productivity changes are measured through an input-oriented, DEA-based Malmquist productivity index. Short- and long-run effects are examined through a finite autoregressive distributed lag model, estimated through a pooled mean-group estimator.

Findings suggest that CBS adoption negatively correlates with cost structure until the first year of adoption. Nevertheless, significant benefits are visible from the third year. Furthermore, such associations are highly susceptible to the industry structure. CBS results in higher incremental benefits for private banks vis-à-vis state-owned banks. Large banks receive significant and quicker productivity improvements from CBS vis-à-vis small banks. Bank age guides CBS–performance associations, highlighting that mature banks may face the issue of legacy infrastructure in CBS adoption. The resultant networking externalities are significant as they enhance the attractiveness of the network, which subsequently augments inter-branch and inter-bank communications.

To the best of the authors’ knowledge, this study is the first to recognise the stickiness of one of the most homogeneously adopted technological innovations in the Indian banking sector. The presence of a conjoint technological network has the potential to enhance the service delivery process and ensure superior returns for Indian banks.

This paper empirically examines the short-term and long-term associations between risk, capital and efficiency (R-C-E) in the Indian banking sector across 2008–2019 to answer the presence of causation or contemporaneousness in the R-C-E nexus.

The paper focuses on three objectives. First, the authors determine short-term causality in the risk–efficiency relationship by studying the simultaneous influence of a wide array of banking risks on DEA-based technical and cost efficiency in static and dynamic situations. Second, the authors introduce bank capital and contemporaneously determine the interplay between R-C-E using seemingly unrelated regression equation (SURE) and three-staged least squares (3SLS). Last, the authors assess stability in inter-temporal associations using Granger causality in an autoregressive distributed lag (ARDL) generalized method of moments (GMM) framework.

The authors contend that high capital buffers reduce insolvency risk and increase bank stability. Technically efficient banks carry lesser equity buffers, suggesting a trade-off between capital and efficiency. However, capitalization makes banks more technically efficient but not cost-efficient, implying that over-capitalization creates cost inefficiencies, which, in line with the cost skimping hypothesis, forces banks to undertake risk. Concerning causal relationships, the authors conclude that inefficiency Granger-causes insolvency and increases bank risk. Further, steady increases in capital precede technical and cost efficiency improvements. The converse also holds as more efficient banks depict temporal increases in capitalization levels.

The paper is perhaps the first that acknowledges the influence of the “time” perspective on the R-C-E nexus in an emerging economy and advocates that prudential regulations must focus on short-term and long-term intricacies among the triumvirate to foster a stable banking environment.

Against the backdrop of an Indian banking sector that finds itself entangled in the triple deadlock of increasing competition, technological changes and strict regulatory compliance, the study aims to examine the need for reinforcing stringent corporate and risk governance mechanisms as an instrument for improving efficiency and productivity levels.

The authors construct three separate indices, namely, supervisory board index, audit index and risk governance index to measure the governance practices of commercial banks. A slacks-based data envelopment analysis technical efficiency (TE) measure, a variable returns to scale cost efficiency model and Malmquist productivity index are employed to determine TE, cost efficiency and productivity change, respectively. A two-step system-generalized method of moments estimation accounts for the dynamic relationship between governance and efficiency.

The authors show that strict audit and risk governance mechanisms are associated with better efficiency and productivity levels. However, consistent with the free-rider hypothesis, large, independent and diverse boards lead to cost inefficiencies. Strict risk governance structures circumvent the negative effects of high regulatory capital and improve efficiency and total factor productivity. However, friendly boards do not perform efficiently in the presence of regulatory capital, implying that incentives arising from maintaining high levels of equity capital make them more susceptible to risk-taking, and board composition is unable to sidestep this behaviour.

The paper contributes to the literature that explores the linkages between governance, efficiency and productivity. The inferences hold relevance in the post-COVID world, as regulators try to circumvent the additional stress on the banking system by adopting sound corporate and risk governance mechanisms.

The purpose of this study is to explore and evaluate potential nonmonotonicity in the determinants of profit efficiency, specifically IT and R&D investments in the Indian commercial banking sector.

The study employs an alternative stochastic profit efficiency framework and introduces nonmonotonic effects by parameterizing the location and scale parameters of the inefficiency component on an unbalanced panel data set of 72 commercial banks in the 2008–2019 period. Marginal effects across quartiles are calculated using a bias-corrected and accelerated bootstrap procedure of 500 simulations. The study disaggregates across ownership and size for gauging the impact of structure on the associations between determinants of profit efficiency.

The study partially rejects the productivity paradox as it discovers a negative association of IT and R&D with profit inefficiency. However, the observed nonmonotonicity of IT is of significance for bank managers, as the study concludes that overinvestment in IT is detrimental to a bank’s profit-maximizing interests. Further, bank size, loan default and credit risk depict a nonmonotonic relationship across the sample with large banks, high NPAs and high credit risk associated with reducing profit efficiency. In addition, higher margins and greater diversification are related positively to efficiency, and banks with cost-heavy structures or having high liquidity risk associated negatively with efficiency.

To the best knowledge of the authors, the study is perhaps the first to acknowledge and incorporate nonmonotonic associations of IT investments amidst other exogenous determinants under a stochastic profit efficiency framework.

Bicycle industry, emerging markets, competitor analysis, financial forecasting.

This case can be used as a teaching tool in the following courses: MBA/post-graduate programs in management in management accounting, management control systems and strategic cost management; executive training programs for middle and senior level employees; and under-graduate/post-graduate programs in entrepreneurship. It can be used to explain and test the concepts of SWOT analysis, Porter's five forces model and PEST analysis. It introduces the technique of breakeven analysis and its relationship with operating leverage. Moreover, it demonstrates the application and analyses of the Du Pont equation.

Hero Cycles Ltd was established by the four Munjal brothers in pre-independence India. It started off as a business of bicycle spare parts, but quickly expanded in post-independence India, with Ludhiana as its base. The company later joined with foreign firms like Honda Motors, Japan to become the largest manufacturers of bicycles in the world. It dominates domestic markets with a market share of around 40 percent. Ananth Munjal, a learned, ambitious and cautious individual, is the next generation, ready to take over the reins of the company. Being someone who believes in learning from past mistakes, he forms a team to critically examine the decisions made by his predecessors. This team is also directed to utilize forecasting techniques for determining the expected profitability given the existing state of affairs that prevail. Additionally, Du Pont analysis is to be performed for studying the efficiency of the company on the facets of operating performance, asset turnover and associated financial leverage. Also, Ananth's risk-averse nature compels him to study the past with regard to the relationship between operating leverage, breakeven sales and corresponding margin of safety. Furthermore, he wishes to inspect the historical cost structure of the firm, and its influence on company performance.

These include the use of: SWOT analysis to identify the strengths, weaknesses, opportunities and threats to a company; PEST analysis to identify the political, economic, social and technological factors that affect the operations of a company; Porter's five forces model to analyse an industry. The case also helps students: by identifying fixed costs and variable costs that are a part of operating expenditure of a business; in the use of forecasting the financials of a company for the sake of predicting the future outcomes of certain business strategies; by application of Du Pont analysis to examine the efficiency of the various processes and strategies; in determining quantitative terms like contribution margin, breakeven sales, operating leverage, margin of safety, their significance, and the relationship between these terms.

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