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Article
Publication date: 31 January 2022

Anup Kumar Das

This paper evaluates the different digital libraries (DLs) in India developed in the past two decades. These DLs help advance scholarship and facilitate the reading habits of…

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Abstract

Purpose

This paper evaluates the different digital libraries (DLs) in India developed in the past two decades. These DLs help advance scholarship and facilitate the reading habits of their users. Many of these DLs have a rich collection of vernacular literature depicting India’s diverse cultural heritages and traditions. DLs in India also help in outreaching global researchers and knowledge seekers. Many diaspora communities use these DLs frequently and other stakeholders such as the international scholars interested in Indic civilization. This paper finally suggests a way forward to make operational DL initiatives discoverable to humans and machines with the adaptation of FAIR principles that make e-resources findable, accessible, interoperable and reusable for their discovery beyond respective DL portals.

Design/methodology/approach

This study used a desk survey of DL initiatives in India. Their salient features are obtained from their respective Web portals and social media profiles.

Findings

This study identified twelve operational DL initiatives in India. Out of them, the newest five DL initiatives are described in this paper.

Originality/value

This study reflects original findings on the newest five DL initiatives of India. These findings were not earlier reported in a journal article.

Details

Library Hi Tech News, vol. 39 no. 2
Type: Research Article
ISSN: 0741-9058

Keywords

Article
Publication date: 20 March 2023

Vipin Valiyattoor and Anup Kumar Bhandari

A brief review of earlier studies on the productivity scenario of Indian industry shows that most of the studies analysed are confined to either parametric approach or growth…

Abstract

Purpose

A brief review of earlier studies on the productivity scenario of Indian industry shows that most of the studies analysed are confined to either parametric approach or growth accounting approach of measuring productivity. At the same time, the few studies based on the non-parametric [namely, Malmquist productivity index (MPI)] overlook the returns to scale conditions as well as the bias involved in the estimation of distance functions. Given this backdrop, this study aims to provide a robust measure of productivity, which considers the returns to scale assumptions and correct for the bias involved in the estimation of productivity.

Design/methodology/approach

This study empirically tests for the returns to scale that exists in the chemical and chemical products industry in India. The test result suggests that Ray and Desli (1997) approach of MPI is the appropriate one for the present context. Initially, the conventional Ray and Desli (1997) estimation and decomposition of MPI for the period 2001 to 2017 is being used. Subsequently, to correct for the bias in the estimation of efficiency scores used for the estimation of MPI, the bootstrapping algorithm of Simar and Wilson (2007) has been extended into the context of MPI estimation.

Findings

The results from the conventional Malmquist productivity estimates testifies to an improvement of total factor productivity (TFP) in seven out of 16 years under consideration. On the contrary, TFP growth is recorded only in the four years throughout the period after the bias correction. A greater discrepancy between the two measures has been found in the case of scale change factor component of MPI.

Practical implications

The technical change (TC) component positively influences TFP, whereas scale change factor (SCF) deteriorates the TFP condition of this industry. It will be appropriate for these firms to identify and operate under an optimal scale of operation, along with reaping the benefits of technological change. From a methodological perspective, researchers should consider the potential bias that arise in estimation of TFP and use a larger sample whenever possible.

Originality/value

This paper brings in a new perspective to the existing literature on industrial productivity. As against earlier studies, this study empirically tests the returns to scale of the sector under consideration and uses the most appropriate approach to measure productivity. The effect of sampling bias on TFP and its components is analysed.

Details

Indian Growth and Development Review, vol. 16 no. 2
Type: Research Article
ISSN: 1753-8254

Keywords

Article
Publication date: 4 August 2022

Anup Kumar, Santosh Kumar Shrivastav and Subhajit Bhattacharyya

This study proposes a methodology based on data source triangulation to measure the “strategic fit” for the automotive supply chain.

Abstract

Purpose

This study proposes a methodology based on data source triangulation to measure the “strategic fit” for the automotive supply chain.

Design/methodology/approach

At first, the authors measured the responsiveness of the Indian automobile supply chain, encompassing the top ten major automobile manufacturers, using both sentiment and conjoint analysis. Second, the authors used data envelopment analysis to identify the frontiers of their supply chain. The authors also measured the supply chain's efficiency, using the balance sheet. Further, the authors analyzed the “strategic fit” zone and discussed the results.

Findings

The results indicate that both the proposed methods yield similar outcomes in terms of strategic fitment.

Practical implications

The study outcomes facilitate measuring the strategic fit, thereby leveraging the resources available to align. The methodology proposed is both easy to use and practice. The methodology eases time and costs by eliminating hiring agencies to appraise the strategic fit. This valuable method to measure strategic fit can be considered feedback for strategic actions. This methodology could also be incorporated possibly as an operative measurement and control tool.

Originality/value

Data triangulation meaningfully enhances the accuracy and reliability of the analyses of strategic fit. Data triangulation leads to actionable insights relevant to top managers and strategic positioning of top managers within a supply chain.

Details

International Journal of Productivity and Performance Management, vol. 72 no. 10
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 21 November 2018

Anup Kumar Saha

The research investigates the determinants of corporate social responsibility (CSR) spending and CSR disclosures by the Bangladeshi commercial banks. In the process, it explains…

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Abstract

Purpose

The research investigates the determinants of corporate social responsibility (CSR) spending and CSR disclosures by the Bangladeshi commercial banks. In the process, it explains the relationship between CSR disclosures and CSR expenditure by Bangladeshi commercial banks.

Design/methodology/approach

Legitimacy theory has been used to explain the motivation for such expenditure and disclosure. For purpose of analysing the determinants, ordinary least square (OLS) regression analysis has been used for the first test with CSR expenditures and ordered PROBIT regression analysis has been used for test with CSR disclosures.

Findings

The result found that CSR expenditure depend on banks’ size, age and government ownership, whilst CSR disclosures depend on CSR expenditure, profitability, age, government ownership and Islamic compliance.

Practical implications

The practical contribution of this study includes the assistance for the public policy development by providing better understanding of extent and credibility of CSR reporting by the Bangladeshi banking sector.

Originality/value

The study contributes to the academic literature by presenting preliminary findings from different focus on a developing economy like Bangladesh. The study leads to draw a standard for the developing country to find out the differences compared to developed country.

Details

Social Responsibility Journal, vol. 15 no. 4
Type: Research Article
ISSN: 1747-1117

Keywords

Article
Publication date: 28 December 2020

Atul Kumar Sahu, Anup Kumar, Anoop Kumar Sahu and Nitin Kumar Sahu

Today, industrial revolutions demands advanced technologies, means, mediums, tactics and so forth for optimizing their operating behavior and opportunities. It is probed that the…

Abstract

Purpose

Today, industrial revolutions demands advanced technologies, means, mediums, tactics and so forth for optimizing their operating behavior and opportunities. It is probed that the effectual results can be seized into system by not only developing advance means and technologies, but also capably adapting these developed technologies, their user interface and their utilization at optimum levels. Today, industrial resources need perfect synchronization and optimization for getting elevated results. Accordingly, present study is furnished with the purpose to expose quality-driven insights to march toward excellence by optimizing existing resources by the industrial organizations. The present study evaluates quality attributes of mechanical machineries for seizing performance opportunities and maintaining competitiveness via synchronizing and reconfiguring firm's resources under quality management system.

Design/methodology/approach

In the present study, Kano’s integrated approach is implemented for supporting decision rational concerning industrial assets. The integrative Kano–analytic hierarchy process (AHP) approach is used to reflect the relative importance of quality attributes. Kano and AHP tactics are integrated to define global relative weight and their computational medium is adapted along with ratio analysis, reference point theory and TOPSIS technique for understanding robust decision. The study described an interesting idea for underpinning quality attributes for benchmarking system substitutes. A machine tool selection case is discussed to disclose the significant aspect of decision-making and its virtual qualities.

Findings

The decision executives can realize massive benefits by streaming quality data, advanced information, technological advancements, optimum analysis and by identifying quality measures and disruptions for gaining performance deeds. The study determined quality measures for benchmarking machine tool substitute for industrial applications. Momentous machine alternatives are evaluated by means of technical structure, dominance theory and comparative analysis for supporting decision-making of industrial assets based on optimization and synchronization.

Research limitations/implications

The study linked financial, managerial and production resources under sole platform to present a technical structure that may assist in improving the performance of the manufacturing firms. The study provides a decision support mechanism to assist in reviewing the momentous resources to imitate a higher level of productive strength toward the manufacturing firms. The study endeavors its importance toward optimizing resources, which is an evident requirement in industries as the same not only saves money, escalates production, improves profit margins and so forth, but also gratifies the consumption of scarce natural resources.

Originality/value

The study stressed that advance information can be sought from system characteristics in the form of quality measures and attributes, which can be molded for gaining elevated outcomes from existing system characteristics. The same demands decision supports tools and frameworks to utilize data-driven information for benchmarking operations and supply chain activities. The study portrayed an approach for ease of utilizing data-driven information by the decision-makers for demonstrating superior outcomes. The study originally conceptualized multi-attributes appraisement framework associated with subjective cum objective quality measures to evaluate the most significant machine tool choice amongst preferred alternatives.

Details

The TQM Journal, vol. 35 no. 1
Type: Research Article
ISSN: 1754-2731

Keywords

Article
Publication date: 16 November 2020

Anup Kumar, Santosh Shrivastav, Amit Adlakha and Niraj K. Vishwakarma

The authors develop a methodology to select appropriate sustainable supply chain indicators (SSCIs) to measure Sustainable Development Goals (SDGs) in the global supply chain.

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Abstract

Purpose

The authors develop a methodology to select appropriate sustainable supply chain indicators (SSCIs) to measure Sustainable Development Goals (SDGs) in the global supply chain.

Design/methodology/approach

SSCIs are identified by reviewing the extant literature and topic modeling. Further, they are evaluated based on existing SDGs and ranked using the fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method. Notably, the evaluation of indicators is a multi-criteria decision-making (MCDM) process within a fuzzy environment. The methodology has been explained using a case study from the automobile industry.

Findings

The case study identifies appropriate SSCIs and differentiates them among peer suppliers for gaining a competitive advantage. The results reveal that top-ranked sustainability indicators include the management of natural resources, energy, greenhouse gas (GHG) emissions and social investment.

Practical implications

The study outcome will enable suppliers, specialists and decision makers to understand the criteria that improve supply chain sustainability in the automobile industry. The analysis provides a comprehensive understanding of the competitive package of indicators for gaining strategic advantage. This proactive sustainability indicator selection promotes and enhances sustainability reporting while fulfilling regulatory requirements and increasing collaboration potential with trustworthy downstream partners. This study sets the stage for further research in SSCIs’ competitive strategy in the automobile industry along with its supply chains.

Originality/value

This study is unique as it provides a framework for determining relevant SSCIs, which can be distinguished from peer suppliers, while also matching economic, environmental and social metrics to achieve a competitive advantage.

Details

International Journal of Productivity and Performance Management, vol. 71 no. 1
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 22 February 2024

Anup Kumar and Vinit Singh Chauhan

This study examines the relationship between servant leadership and its dimensions on firm performance, with big data playing the role of a mediator.

Abstract

Purpose

This study examines the relationship between servant leadership and its dimensions on firm performance, with big data playing the role of a mediator.

Design/methodology/approach

Survey responses used for analysis in this study have been taken from business managers associated reputed private sector organizations in India. A conceptual model is proposed grounded to the Conservation of Resource Theory (COR). Structural equation modeling has been used to test the proposed model.

Findings

Servant leadership significantly relates to firm performance, whereby Big Data is seen to play the role of a mediator. The results also indicate that none of the dimensions of servant leadership independently affect firm performance.

Originality/value

The study adds to extant research by examining the mediating mechanism of Big Data in servant leadership and firm performance. It also suggests that each dimension of servant leadership gets reflected in overall servant leadership. Here it is important to note that Big Data analytics partially mediate the effectiveness of servant leadership.

Details

International Journal of Productivity and Performance Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 11 March 2024

Anup Kumar Saha and Imran Khan

This study aims to examine the impact of board characteristics on climate change disclosures (CCDs) in the context of an emerging economy, with a unique focus on regulatory…

Abstract

Purpose

This study aims to examine the impact of board characteristics on climate change disclosures (CCDs) in the context of an emerging economy, with a unique focus on regulatory influences.

Design/methodology/approach

This study analyzes longitudinal data (2014–2021) from environmentally sensitive firms listed on the Dhaka Stock Exchange, using a disclosure index developed within the Global Reporting Initiative framework. The authors use a neo-institutional theoretical lens to explore regulatory influences on CCD through board characteristics. This study uses hand-collected data from annual reports owing to the absence of an established database.

Findings

The results indicate that a larger board size, the presence of foreign directors and the existence of an audit committee correlate with higher levels of CCD disclosure. Conversely, a higher frequency of board meetings is associated with lower CCD disclosure levels. This study also observed an increase in CCD following the implementation of corporate governance guidelines by the Bangladesh Securities and Exchange Commission, albeit with a relatively low number of firms making these disclosures.

Research limitations/implications

This study contributes to the climate change reporting literature by providing empirical evidence of regulatory influences on CCD through board characteristics in an emerging economy. However, the findings may not be universally applicable, considering the study’s focus on Bangladeshi listed firms.

Practical implications

This study suggests growing pressures for diverse stakeholders, including researchers and regulatory bodies, to integrate climate change disclosure into routine activities. This study offers a valuable framework and insights for various stakeholders.

Social implications

By emphasizing the influence of good governance and sustainability practices, this study contributes to stakeholders’ understanding, aiming to contribute to a better world.

Originality/value

This study stands out by uniquely positioning itself in the climate change reporting literature, shedding light on regulatory influences on CCD through board characteristics in the context of an emerging economy.

Details

Corporate Governance: The International Journal of Business in Society, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1472-0701

Keywords

Article
Publication date: 26 January 2024

Anup Kumar Saha and Imran Khan

In the swiftly evolving business landscape, environmental, social and governance (ESG) considerations have gained exceptional prominence, as stakeholders increasingly emphasize…

Abstract

Purpose

In the swiftly evolving business landscape, environmental, social and governance (ESG) considerations have gained exceptional prominence, as stakeholders increasingly emphasize accountability and sustainability. This study aims to meticulously probe the intricate interplay between ESG factors, financial performance and the distinct corporate governance landscape that characterizes the Nordic region's crucible of proactive societal and environmental commitment.

Design/methodology/approach

The authors begin with a data set of 899 Nordic firms across Sweden, Norway, Denmark, Finland and Iceland. Using the Thomson Reuters database, they refine this data set by excluding non-regional headquarters and entities without ESG scores or year-long financial data. This resulted in a focused data set of 1,360 firm-years spanning a decade, forming the foundation for investigating the link between ESG factors and financial performance in Nordic firms.

Findings

Drawing upon empirical data, the authors systematically dissect the correlation between specified financial ratios and ESG scores on the bedrock of sustainability evaluation. The findings underscore a partially significant, yet robust relationship between ESG endeavors and financial performance metrics. Furthermore, the intricate interplay of corporate governance dimensions’ reveals intriguing correlations with financial indicators among the surveyed Nordic enterprises. However, the findings also reveal an intricate weave that underscores the ESG and financial performance nexus.

Research limitations/implications

This study addresses stakeholders’ theory and unique positions and contributes to the current discussion on sustainability reporting literature by providing empirical evidence of ESG influences on firm profitability through board characteristics in the specific context of the Nordic region. The sample for this study encompasses firms listed in Nordic countries; thus, the results may not be generalizable to unlisted firms and other countries or regions.

Practical implications

This study suggests that Nordic firms are advanced in reporting ESG in response to diverse stakeholder demands as part of their regular activities. This study provides valuable insights for diverse stakeholders including researchers and regulatory bodies.

Social implications

This study provides an understanding of stakeholders about the association of ESG and sustainability practices with firm profitability, which might lead to making the world a better place.

Originality/value

While illuminating the multifaceted ESG-financial performance nexus, this study reveals its intricate nature. This complexity accentuates the compelling need for further exploration to decode the exact outcomes and myriad factors contributing to the array of correlations observed. Through this comprehensive inquiry, this research advances the understanding and underscores the pivotal role of a focused investigation. This study seeks to harmonize ESG practices and financial performance seamlessly within the Nordic business realm.

Details

European Business Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0955-534X

Keywords

Article
Publication date: 8 January 2024

Anup Kumar, Bhupendra Kumar Sharma, Bandar Bin-Mohsen and Unai Fernandez-Gamiz

A parabolic trough solar collector is an advanced concentrated solar power technology that significantly captures radiant energy. Solar power will help different sectors reach…

Abstract

Purpose

A parabolic trough solar collector is an advanced concentrated solar power technology that significantly captures radiant energy. Solar power will help different sectors reach their energy needs in areas where traditional fuels are in use. This study aims to examine the sensitivity analysis for optimizing the heat transfer and entropy generation in the Jeffrey magnetohydrodynamic hybrid nanofluid flow under the influence of motile gyrotactic microorganisms with solar radiation in the parabolic trough solar collectors. The influences of viscous dissipation and Ohmic heating are also considered in this investigation.

Design/methodology/approach

Governing partial differential equations are derived via boundary layer assumptions and nondimensionalized with the help of suitable similarity transformations. The resulting higher-order coupled ordinary differential equations are numerically investigated using the Runga-Kutta fourth-order numerical approach with the shooting technique in the computational MATLAB tool.

Findings

The numerical outcomes of influential parameters are presented graphically for velocity, temperature, entropy generation, Bejan number, drag coefficient and Nusselt number. It is observed that escalating the values of melting heat parameter and the Prandl number enhances the Nusselt number, while reverse effect is observed with an enhancement in the magnetic field parameter and bioconvection Lewis number. Increasing the magnetic field and bioconvection diffusion parameter improves the entropy and Bejan number.

Originality/value

Nanotechnology has captured the interest of researchers due to its engrossing performance and wide range of applications in heat transfer and solar energy storage. There are numerous advantages of hybrid nanofluids over traditional heat transfer fluids. In addition, the upswing suspension of the motile gyrotactic microorganisms improves the hybrid nanofluid stability, enhancing the performance of the solar collector. The use of solar energy reduces the industry’s dependency on fossil fuels.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 34 no. 2
Type: Research Article
ISSN: 0961-5539

Keywords

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