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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…

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

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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…

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. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

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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.

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. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0401

Keywords

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Article
Publication date: 29 July 2021

Mohammad Shahid Zaman and Anup Kumar Bhandari

This paper examines the technical efficiency (TE) of Indian commercial banks during 1998–2015.

Abstract

Purpose

This paper examines the technical efficiency (TE) of Indian commercial banks during 1998–2015.

Design/methodology/approach

This study uses mathematical programming-based data envelopment analysis (DEA) methodology to measure technical efficiency of Indian banks. Further, Simar and Wilson (2007) double bootstrap procedure is applied to examine the determinants of efficiency of the Indian banks, by examining the effects of various bank specific and other contextual variables.

Findings

The results indicate substantial upward bias in the conventional efficiency estimates of the Indian commercial banks. Needless to note, such upward bias is consistent with the theoretical postulates. The bootstrapped regression results show that increasing capital adequacy ratio is positively associated with bank efficiency. The popular belief that non-performing assets have a dampening effect on performance of banks is validated. Among others, ownership category is observed to be an important determining factor of bank efficiency. Specifically, state-owned banks (SOBs) are relatively lagging behind the foreign banks. Moreover, larger banks are observed to have a significantly higher level of efficiency, therefore, recent official policy initiatives toward consolidation of SOBs are validated.

Originality/value

As this study uses Simar and Wilson (2007) bootstrap approach, it enables the authors to have an estimate of the extent of bias in the traditional DEA TE scores. It also helps us drawing consistent inferences by rectifying the problem of serial correlation in the conventional second stage regression in this regard.

Details

Studies in Economics and Finance, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1086-7376

Keywords

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Article
Publication date: 4 June 2018

Keshav Kumar Sharma and Anup Kumar

The purpose of this paper is to develop criteria for project manager selection based on desired skills of a project manager and facilitate the selection of a suitable…

Abstract

Purpose

The purpose of this paper is to develop criteria for project manager selection based on desired skills of a project manager and facilitate the selection of a suitable candidate from a pool of potential candidates for the implementation of projects in the Indian context.

Design/methodology/approach

The study utilizes three major skills, namely human skill, conceptual and organizational skills; technical skill along with their sub-skills to develop criteria for project manager selection. Based on the responses of project professionals from industry, the study uses analytical hierarchy process to prioritize and identify the relative importance of different skills in the criteria in order to develop a hierarchical structure for project manager selection.

Findings

The study finds that at the first level of project manager selection criteria, conceptual and organizational skills are the most important selection criteria followed by human skills and technical skills. At the second level of project manager selection criteria, planning, delegating authority and understanding methods, processes, and procedures are some of the important sub-selection criteria. The weights indicating the relative importance of major selection criteria and sub-selection criteria can be used to evaluate the relative weight of a given candidate for selection as a project manager.

Research limitations/implications

The results in this study are derived from specific demographic conditions in India. Future research with larger samples from other countries is needed for generalizations of the proposed criteria.

Practical implications

The proposed method quantifies the intangible qualitative criteria to select a project manager, which can aid decision-makers in a multi-criteria decision-making environment.

Originality/value

This research paper is focused on the identification of critical skills for the selection of a project manager, which is almost neglected by the researchers.

Details

International Journal of Quality & Reliability Management, vol. 35 no. 6
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 12 September 2016

Anup Kumar, Amit Adlakha and Kampan Mukherjee

The purpose of this paper is to capture the dynamic variations in sales of a product based upon the dynamic estimation of the time series data and propose a model that…

Abstract

Purpose

The purpose of this paper is to capture the dynamic variations in sales of a product based upon the dynamic estimation of the time series data and propose a model that imitates the price discounting and promotion strategy for a product category in a retail organization.

Design/methodology/approach

Time series data relating to sales has been used to model the sales estimates using moving average and proportional and derivative control; thereafter a sales forecast is generated to estimate the sales of a particular product category. This provides valuable inputs for taking lot sizing decisions regarding procurement of the products and selection of suppliers. A hybrid model has been proposed and explained with a hypothetical case, which considerably impacts the sales promotion and intelligent pricing decisions.

Findings

A conceptual framework is developed for modeling the dynamic price discounting strategy in retail using fuzzy logic. The model imitates sales promotion and price discounting strategy. This has helped minimize the inventory cost thereby keeping the profitability of the retail organization intact.

Research limitations/implications

There is no appropriate empirical data to verify the models. In light of the research approach (modeling based upon historical time series data of a particular product category) that was undertaken, there is a possibility that the research results may be valid for the product category that was selected. Therefore, the researchers are advised to test the proposed propositions further for other product categories.

Originality/value

The study provides valuable insight on how to use the real-time sales data for designing a dynamic automated model for product sales promotion and price discounting strategy using fuzzy logic for a retail organization.

Details

Industrial Management & Data Systems, vol. 116 no. 8
Type: Research Article
ISSN: 0263-5577

Keywords

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Article
Publication date: 16 January 2019

Anup Kumar and Rajiv R. Thakur

There has been a persistent debate on measures of efficiency and ranking procedures of higher education institutions (HEIs). Deriving absolute efficiency measures and…

Abstract

Purpose

There has been a persistent debate on measures of efficiency and ranking procedures of higher education institutions (HEIs). Deriving absolute efficiency measures and their ranking provide a critical input for the society to choose the appropriate educational institute. The purpose of this paper is to evaluate the relative performance of institutions in management education in different locations in India and propose a holistic efficiency measurement which can be applied to HEIs in general.

Design/methodology/approach

This study uses dynamic data envelopment analysis (DDEA) as the primary methodology of analysis. Multiple measures of inputs and output have been defined to assess efficiency in institutions of management education. Some of the output variables used for measuring relative effectiveness are: the number of students placed, number of entrepreneurs, median CTC of placed students, total number of students passed, number of research publications, number of students and faculty who have participated in international exchange, input variables used, student intake, faculty profile, resource allocation on the development of student, faculty and staff, industry linkages, alumni network. The institutions under study are in three different locations in India, having distinct characteristics. The multiple measures of inputs and outputs defined have been used to measure efficiency, following which DDEA was used to rank the efficiency measures.

Findings

Various agencies use their framework to evaluate and rank HEIs; however, they are either subjective or less researched methodologies. The proposed method acts as a new researched and objective methodology for ranking of HEIs operating across regions with different societal, economic and political contexts. Efficiency in education is of high relevance today for various stakeholders such as students, parents, industry, policy-makers and government. An objective, such as the one proposed in this paper, would be helpful in satisfying the needs of various stakeholders. Furthermore, the government has policies of allocating funds, in case of public-funded institutions, based on efficiency levels in HEIs. The measure using DDEA suggested in this study provides a better measurement of efficiency.

Research limitations/implications

This research is based on the extension of DDEA with slight modification to the denominator portion of efficiency calculation. The modification is accentuated by taking an industry benchmark or government benchmark. This may lead to slight difficulty in the appropriation of input parameters. Hence, selection of appropriate input and output parameters is the key limitation. To demonstrate capabilities of the proposed approach, this framework is implemented for performance evaluation of institutions of higher education in India. Some helpful policy-making and managerial insights are derived from the numerical results.

Originality/value

The uniqueness of this research is that it adds a well-researched methodology based on DDEA to measure efficiency and rank HEIs for effective assessment and benchmarking. The frameworks used so far have been either subjective or less researched methodologies.

Details

International Journal of Productivity and Performance Management, vol. 68 no. 4
Type: Research Article
ISSN: 1741-0401

Keywords

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Article
Publication date: 3 February 2020

Vipin Valiyattoor and Anup Kumar Bhandari

This paper aims to evaluate the performance of basic metals industry in India and analyze its determinants, using data envelopment analysis (DEA) method. It also intends…

Abstract

Purpose

This paper aims to evaluate the performance of basic metals industry in India and analyze its determinants, using data envelopment analysis (DEA) method. It also intends to compare the results through conventional two-stage and bootstrap-based inferences.

Design/methodology/approach

Considering technical efficiency as a measure of performance, this paper specifically investigates whether the participation of a firm in the global market affects its performance. The conventional two-stage procedure is used to test the export intensity and firm performance nexus. The bootstrap-based algorithms (by Simar and Wilson, 2007) are used to correct the bias and serial correlation issues involved in the conventional approach.

Findings

The result shows a negative relation between export intensity and firm performance while following the conventional procedure. Even after accounting for serial correlation, the relation remains more or less similar to that of conventional analysis. However, a strong negative relation between export intensity and firm performance is not observed in a more reliable inference obtained after correcting for possible bias as well as serial correlation.

Research limitations/implications

This paper is based on cross-sectional analysis, and a more reliable result can be obtained by considering a larger sample and longer period.

Originality/value

This paper shows how the conventional two-stage procedure may result in misleading inferences due to bias in the estimation of efficiency scores and the serial correlation during the second stage inferential analysis. This paper also empirically exemplifies how the double bootstrap DEA procedure can overcome these limitations of the conventional two-stage approach.

Details

Indian Growth and Development Review, vol. 13 no. 3
Type: Research Article
ISSN: 1753-8254

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Article
Publication date: 16 July 2021

Da-Eun Yoon, Tonmoy Choudhury, Anup Kumar Saha and Mamunur Rashid

Globally influential Islamic banks from the Middle East and Southeast Asia carry voluminous correspondence banking with banks from China and India, leading to potential…

Abstract

Purpose

Globally influential Islamic banks from the Middle East and Southeast Asia carry voluminous correspondence banking with banks from China and India, leading to potential spillover effect of contagion among the banks from these regions. This study aims to investigate the Islamic banks systemic risk contagion with major banks from China and India.

Design/methodology/approach

Having the option pricing theory in the backdrop, the authors calculated three different distance to risk measurements (default, insolvency and capital). The authors have included top six listed globally influential Islamic banks, top seven Indian banks and top eight Chinese banks based on their net asset value. They then measured the banks’ extreme shocks based on the extreme value theory by using the logistic regression model. These extreme shocks helped the authors to map the spillover among the selected banks from multiple regions.

Findings

The authors have found strong evidences of directional risk spillover among the banks in this sample. Islamic banks are receiving a significant risk spillover from the other sample banks but transmitting less toward the other banks from India and China. Hence, there is strong one-directional risk contagion toward the Islamic banks in the study sample.

Practical implications

This research would be particularly useful to the regulators and bankers from emerging and Islamic markets to understand the conniving nature of the crisis by effectively mapping the source, destination and implementation of the shock transmission mechanism of the potential financial contagion.

Originality/value

Even though the corresponding banking among the top Islamic banks from the Middle East and Southeast Asian countries, and banks from India and China, is on the rise, the assessment of risk among these banks has been limited. In particular, the authors extended on the extreme value theory to focus on the wider impact of spillover, including significant direction of contagion from non-Islamic banks to Islamic banks.

Details

International Journal of Islamic and Middle Eastern Finance and Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1753-8394

Keywords

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Article
Publication date: 24 November 2020

Anup Kumar

The purpose of this paper is to analytically examine the viability of using blockchain technology (BT) in a public distribution system (PDS) supply chain to overcome…

Abstract

Purpose

The purpose of this paper is to analytically examine the viability of using blockchain technology (BT) in a public distribution system (PDS) supply chain to overcome issues of shrinkage, misplacement and ghost demand.

Design/methodology/approach

The authors use a standard news vendor model with two objectives, the first of which includes a reduction of the total cost of stock, while the second includes minimization of the negative impact of human suffering due to the nonavailability of subsidized food supplies to the needy people.

Findings

The authors applied the model to a real-life case to draw meaningful insights. The authors also analyzed the cost/benefit tradeoff of adopting BT in a PDS supply chain. The results show that the adoption of BT in a charitable supply chain can reduce pilferage and ghost demand significantly.

Originality/value

The paper is positioned for utilizing inventory visibility via consistent and tamper-resistant data stream flow capability of BT to enhance the overall efficiency of PDS. Notably, Indian PDS faces three major challenges in terms of its supply chain efficiency.

Details

Journal of Humanitarian Logistics and Supply Chain Management, vol. 11 no. 1
Type: Research Article
ISSN: 2042-6747

Keywords

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