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The purpose of this paper is to develop data envelopment analysis (DEA) models and algorithms for efficiency improvement when the inputs and output weights are restricted…
The purpose of this paper is to develop data envelopment analysis (DEA) models and algorithms for efficiency improvement when the inputs and output weights are restricted and there is fixed availability of inputs in the system.
Limitation on availability of inputs is represented in the form of constant sum of inputs (CSOI) constraint. The amount of excess input of an inefficient decision-making unit (DMU) is redistributed among other DMUs in such a way so that there is no reduction in their efficiency. DEA models have been developed to design the optimum strategy to reallocate the excess input.
The authors have developed the method for reallocating the excess input among DMUs while under CSOI constraint and parameter weight restrictions. It has been shown that in this work to improve the efficiency of an inefficient DMU one needs the cooperation of selected few DMUs. The working of the models and results have been shown through a case study on carbon dioxide emissions of 32 countries.
The limitation of the study is that only one DMU can expect to benefit from the application of these methods at any given time.
Results of the paper are useful in situations when decision maker is exploring the possibility of transferring the excess resources from underperforming DMUs to the other DMUs to improve the performance.
This strategy of reallocation of excess input will be very useful in situations when decision maker is exploring the possibility of transferring the excess resources from underperforming DMUs to the other DMUs to improve the performance. Unlike the existing works on efficiency improvement under CSOI, this work seeks to address the issue of efficiency improvement when the input/output parameter weights are also restricted.
This paper aims to consolidate and review the literature in the field of market-calibrated option pricing analysis. By doing so, the paper brings out the gaps in the…
This paper aims to consolidate and review the literature in the field of market-calibrated option pricing analysis. By doing so, the paper brings out the gaps in the extant literature and makes suggestions for future researchers in the field.
The methodology used in this research is inspired by the works of Ferreira et al. (2016), Jabbour (2013), Lage Junior and Godinho Filho (2010), Seuring (2013) and Sharma et al. (2018). A total of 1,500 papers written on the pricing of options globally are collated from the Web of Science ranging across 2010-2018.
Most of the research papers present mathematical proposals to value options; without calibrating it with real market data points. The authors bring out five important gaps in the extant literature.
This is arguably the first study that consolidates the literature in the field of market calibrated option pricing analysis with a view to suggest directions for future researchers.
This study examines the role of Big Five personality traits namely openness to experience, conscientiousness, extraversion, agreeableness and neuroticism in…
This study examines the role of Big Five personality traits namely openness to experience, conscientiousness, extraversion, agreeableness and neuroticism in regulatory-focused job crafting, i.e. promotion- and prevention-focused job crafting and their inter-relationships.
Survey data collected from 444 executives of Indian public sector energy companies were analysed using structural equation modelling.
Big Five personality traits differentially influence individuals' ways of managing job demands through promotion- and prevention-focused job crafting. These influences are easily identifiable in case of openness to experience, conscientiousness and neuroticism.
Findings of the study may help organizations in developing an effective recruitment, job designing and job allocation process, devise a framework for uncertainty management, encourage their employees to undertake personality-aligned job crafting to manage their ever-emerging jobs and enhance person–job fit.
This study, for the first time, provided a comparative influence of Big Five personality traits on both forms of regulatory-focused job crafting. These findings may be relevant for job demand management in a dynamic business environment.
The study evaluated the interlinkages and diversification opportunities in the context of emerging bond markets from 2007:1 to 2020:5, using the vector autoregressive…
The study evaluated the interlinkages and diversification opportunities in the context of emerging bond markets from 2007:1 to 2020:5, using the vector autoregressive (VAR) model and sub‐period analyses to compare BRIC (2007:1–2010:11) and BRICS (2010:12–2020:5) regimes. As indicated by the breaking unit‐root test, dummies for the global financial crisis and COVID‐19 were incorporated in the analyses. VAR results showed that the Indian bond market responds positively to the previous change in the Chinese bond market during the BRIC era while BRICS bond markets are mostly uninfluenced by prior behavior patterns of one another. These suggested that the diversification opportunity has been increased following the admission of South Africa to the league. In addition, variance decomposition and impulse response provide proofs to suggest that BRICS bond markets are more exogenous and independent compared to what is obtained during the BRIC period. Consequently, the authors concluded that the BRICS bloc has provided greater diversification opportunities for emerging markets’ bondholders in the recent past.