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Sustainable strategic management (SSM) is an integrated concept that entails sustainability in the approaches and processes of strategic management. Banking being a rapidly growing industry in service sector, it is reasonably important to study the SSM and its integrated performance. This paper aims to study the sustainable-strategic (SS) factors of Indian banks that affects their endurance and prioritizes the banks based on their sustainable and strategic performance.

This study appertains a sustainable balanced scorecard (SBSC) framework to determine the SS factors and an integrated multicriteria decision making (MCDM) method to weigh the criteria and prioritize the banks' performance.

The criterion weightage signifies sustainability, followed by financial and internal business perspective to be a crucial dimension for the performance of banks. The banks, State Bank of India, HDFC Bank Ltd and Canara Bank are ranked top-most on the SS performance.

The insights from the study on SS factors and banks' performance can be further used by policy-makers and researchers to understand the sustainability assessing factors and focus on making policies and further studies to enhance the performance in this regard.

Banking is one of the potentially growing industry in service sector. It being a major part of economy's sustainable growth, it is essential to assess the SS factors that enhance their sustainable performance. There is dearth of study in this purview, for developing countries like India. Thus, this study critically analyses the strategic sustainability of Indian banking industry to ascertain the SS factors and prioritize the performance of banks based on criterion weightage and bank's SS operations.

In the big data era, image compression is of significant importance in today’s world. Importantly, compression of large sized images is required for everyday tasks; including electronic data communications and internet transactions. However, two important measures should be considered for any compression algorithm: the compression factor and the quality of the decompressed image. In this paper, we use Frei-Chen bases technique and the Modified Run Length Encoding (RLE) to compress images. The Frei-Chen bases technique is applied at the first stage in which the average subspace is applied to each 3 × 3 block. Those blocks with the highest energy are replaced by a single value that represents the average value of the pixels in the corresponding block. Even though Frei-Chen bases technique provides lossy compression, it maintains the main characteristics of the image. Additionally, the Frei-Chen bases technique enhances the compression factor, making it advantageous to use. In the second stage, RLE is applied to further increase the compression factor. The goal of using RLE is to enhance the compression factor without adding any distortion to the resultant decompressed image. Integrating RLE with Frei-Chen bases technique, as described in the proposed algorithm, ensures high quality decompressed images and high compression rate. The results of the proposed algorithms are shown to be comparable in quality and performance with other existing methods.

This study aims to map and analyze health-care pricing information research. This work highlights current gap in pricing information research in health care and proposes future research avenues to academia and industry professionals.

A bibliometric method was adopted to analyze extant literature on pricing information asymmetry. Semistructured interviews were conducted with key stakeholders in health care to triangulate the findings.

Pricing information is crucial for all stakeholders including health-care consumers, providers and regulators. The popular research areas were the rising health-care cost, cost-saving, outcome-based pricing, price based on service supply and demand, insurance and out-of-pocket spending. Cost–quality perceived linkages, cost–demand correlation in health-care service and cost–price interlinked drivers were the dominant themes in extant literature. The study highlighted that pricing information asymmetry pushed patients from weaker sections into a debt trap due to unplanned out-of-pocket health-care expenses. The study suggests areas of research to minimize this pricing information asymmetry.

The emerging themes in health pricing asymmetry will help key stakeholders to identify areas for improvement and take remedial actions in the health-care domain.

This study is a pioneering effort to summarize extant literature published in the health-care information pricing domain and analyze it from a bibliometric perspective. The study also triangulates the finding with primary data from key stakeholders and highlights emerging research areas.