Published Papers

The School’s research output in the last decade has been both significant and considerable, as testified by our AACSB accreditation in 2011. We take great pride in the fact that our faculty have contributed more than 150 articles to reputed academic and practitioner journals.

In the past few years, ISB faculty members have published over 60 papers in top-tier journals. Our faculty have received numerous coveted research grants awarded by premier academic institutions, research centres, corporate houses and reputed foundations such as the Bill and Melinda Gates Foundation, Ford Foundation, MacArthur Foundation, WWF, McCombs School of Business, UT-Austin and others. These awards attest to the scope, depth and impact of the research conducted at the ISB.

Published PapersA, Prashar., Sunder M, Vijaya. (Forthcoming) "A bibliometric and content analysis of sustainable development in small and medium-sized enterprises", Journal of Cleaner Production
Published PapersJ, Antony., Sunder M, Vijaya., V, Sreedharan R.,A, Chakraborty.,A, Gunasekaran. (Forthcoming) "A Systematic Review of Lean in Healthcare: A Global Perspective", International Journal of Quality and Reliability Management
Published PapersV, Gijo E.,J, Antony., Sunder M, Vijaya. (Forthcoming) "Application of Lean Six Sigma in IT support services–a case study", The TQM Journal
Published PapersV, Sreedharan., Sunder M, Vijaya., M, Vandana.,A, Gurumurthy. (Forthcoming) "Development of Lean Six Sigma Training Module: Evidence from Emerging Economy", International Journal of Quality and Reliability Management 8.
Published PapersSunder M, Vijaya., Prashar, Anupama. (2020) "Empirical examination of critical failure factors of continuous improvement deployments: stage-wise results and a contingency theory perspective", International Journal of Production ResearchRead Abstract >Close >Organisations implement various Continuous Improvement (CI) practices such as Total Quality Management, Lean, Six Sigma and Lean Six Sigma (LSS) for improving their processes. Drawing from the success and failure stories of these structured CI practices, scholars enumerated Critical Success Factors and Critical Failure Factors (CFFs). This study empirically examines the occurrence of various CFFs across different stages of CI deployment. Further, from a contingency theoretic perspective, this study investigates their associations with contextual variables by collecting survey data from 213 business units from the USA, the UK, China, and India. Principal Component Analysis is used to group CFFs across five CI deployment stages leading to an empirically refined framework for CI. Crosstab analysis using the chi-square likelihood ratio presented associations of CFFs with contextual variables. Findings reveal significant differences in the occurrence of CFFs across countries. There is evidence that LSS is less prone to failures when compared with TQM, Lean and Six Sigma. The occurrence of CFFs has been relatively lower in smaller and medium-sized enterprises operating in the service sector. Findings also reveal that lessons learned from each CI deployment cycle, contribute to organisational learning, and thence, leading to success at the strategic CI level of maturity.

Published PapersM, Haerizadeh., Sunder M, Vijaya. (Forthcoming) "Impacts of Lean Six Sigma on improving a higher education system: a case study", International Journal of Quality and Reliability Management
Published PapersSunder M, Vijaya., S, Mahalingam.,M, Krishna.,N, S. (Forthcoming) "Improving patients’ satisfaction in a mobile hospital using Lean Six Sigma–a design-thinking intervention", Production Planning and Control
Published PapersSunder M, Vijaya., S, Ganesh L.,R, Marathe R. (Forthcoming) "Lean Six Sigma in Consumer Banking – An empirical inquiry", International Journal of Quality and Reliability Management
Published PapersSunder M, Vijaya., N, Kunnath R. (Forthcoming) "Six Sigma to reduce claims processing errors in a healthcare payer firm", Production Planning and Control
Published PapersKunnumkal, Sumit M., Talluri, Kalyan. (Forthcoming) "A Strong Lagrangian Relaxation for General Discrete Choice Network Revenue Management", Computational Optimization and ApplicationsCentre for Learning and Management PracticeRead Abstract >Close >The choice network revenue management (RM) model incorporates customer purchase behavior as customers purchasing products with certain probabilities that are a function of the offered assortment of products, and is the appropriate model for airline and hotel network revenue management, dynamic sales of bundles, and dynamic assortment optimization. The underlying stochastic dynamic program is intractable and even its certainty-equivalence approximation, in the form of a linear program called Choice Deterministic Linear Program ($CDLP$) is difficult to solve in most cases. The separation problem for $CDLP$ is NP-complete for MNL with just two segments when their consideration sets overlap. The affine approximation of the dynamic program is NP-complete for even a single-segment MNL. This is in contrast to the independent-class or perfect-segmentation case where even the piecewise-linear approximation has been shown to be tractable. In this paper we investigate the piecewise-linear approximation for network RM under a general discrete-choice model of demand. Furthermore, we show that the piecewise-linear approximation is polynomially-time solvable for a fixed consideration set size, solvable in fact as a linear program. Small consideration sets are a reasonable modeling tradeoff in many practical applications. Our solution relies on showing that for any discrete-choice model the separation problem for the linear program of the piecewise-linear approximation can be solved exactly by a Lagrangian relaxation. We give modeling extensions and show by numerical experiments the improvements from using piecewise-linear approximation functions.

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