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Article
Publication date: 26 February 2024

Emmanuel Raju, Suchismita Goswami, Nishara Fernando, Mayeda Rashid, Eti Akter, Nyima Dorjee Bhotia, Aditi Sharan, Mihir Bhatt and J.C. Gaillard

This conversation highlights the need to rethink how we approach disaster risk reduction in different South Asian contexts.

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Abstract

Purpose

This conversation highlights the need to rethink how we approach disaster risk reduction in different South Asian contexts.

Design/methodology/approach

This paper is based on the webinar held as part of Asia Week at the University of Copenhagen which was organised by Asian Dynamics Initiative and Copenhagen Centre for Disaster Research on the September 12, 2023.

Findings

The prominent themes emerging from this conversation represents hybridity, self-rule and self-recovery. Along with this we suggest a fundamental turn to ensuring hope, solidarity and empathy is part of a post-colonial future.

Originality/value

The conversation contributes to the ongoing discussions on moving away from colonial practices in disaster risk reduction and disaster studies broadly.

Details

Disaster Prevention and Management: An International Journal, vol. 33 no. 2
Type: Research Article
ISSN: 0965-3562

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Article
Publication date: 30 September 2022

Mia Mahmudur Rahim, Sanjaya Chinthana Kuruppu and Md Tarikul Islam

This paper aims to examine the role of social auditing in legitimising the relationship between the buyer and supplier firms rather than strengthening corporate accountability in…

469

Abstract

Purpose

This paper aims to examine the role of social auditing in legitimising the relationship between the buyer and supplier firms rather than strengthening corporate accountability in the global supply chain.

Design/methodology/approach

Applying case study methodology and drawing on Suchman’s theory on societal legitimacy, it is argued that social audits are artefacts of legitimacy, and global firms dominate the buyer–supplier relationship across the supply chain. The analysis is based on data collected from different secondary sources, including Walmart’s corporate sustainability reports.

Findings

Using Walmart’s relationship with Tazreen Fashions Limited around the Tazreen factory fire incident as a case study, it explains that the practices which attempt to symbolically demonstrate accountability from social audits need to shift to a more continuous and sincere demonstration of accountability through the social audit process. For this to occur, the cognitive and pragmatic approaches that international buyers have previously used in auditing their supply firms’ social responsibility are no longer sufficient to achieve societal legitimacy. Instead, a moral turn needs to underpin the intentions and actions of these buyers to maintain legitimacy and demonstrate accountability across the supply industry in developing economies.

Originality/value

The findings of the study answer the questions raised in the extant literature about the expectation from social auditing and whether social auditing serves to ensure corporate accountability. The paper contributes to the policymaking discussion of how social auditing can be configured to include a legal provision to ensure that social auditing is not a parroting tool for corporations.

Details

Meditari Accountancy Research, vol. 31 no. 6
Type: Research Article
ISSN: 2049-372X

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Article
Publication date: 18 May 2023

Kashif Ali and Satirenjit Kaur Johl

Despite just eight years remaining to meet the sustainable development goals (SDG, 2030), the manufacturing industry faces numerous challenges for small and medium-sized…

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Abstract

Purpose

Despite just eight years remaining to meet the sustainable development goals (SDG, 2030), the manufacturing industry faces numerous challenges for small and medium-sized enterprises (SMEs). Some notable challenges include integrating sustainability, circular economy (CE), and industry 4.0 (I4.0) technologies in a productive manner. However, there is a paucity of evidence available on the role of institutional pressures and organizational resources to promote I4.0 and sustainability. To fill this void, this study develops and tests a model based on institutional theory and resource-based view (RBV) theory while also taking company size into view as a moderating construct.

Design/methodology/approach

To test the study hypotheses and validate the model, data were obtained through a survey from 228 randomly selected SMEs manufacturing in China. Structured equation modeling and multigroup analysis were used to analyze the data.

Findings

The research findings indicate that institutional pressure has a positive effect on organizational resources (i.e., tangible and intangible), which are capable of orchestrating I4.0 readiness effectively. Also, I4.0 readiness has a positive effect on sustainable manufacturing practices and CE capabilities. Finally, firm size was revealed to be a significant moderator in driving overall integration.

Practical implications

Based on the findings, practical implications and future research directions are discussed.

Originality/value

Based on the institutional and RBV theories, this research shows how SMEs could be influenced by different stakeholders to acquire and develop their resources and capabilities to accelerate I4.0 readiness that further enhances sustainable practices.

Details

Journal of Manufacturing Technology Management, vol. 34 no. 5
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 14 June 2024

Selman Turkes, Hakan Güney, Serin Mezarciöz, Bülent Sari and Selami Seçkin Tetik

The widespread use of washing machines in textile dyeing and finishing boosts product quality while leading to significant wastewater production. This wastewater poses…

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Abstract

Purpose

The widespread use of washing machines in textile dyeing and finishing boosts product quality while leading to significant wastewater production. This wastewater poses environmental risks due to the textile industry's high pollution levels and water consumption. Sustainability hinges on minimizing water usage and treating wastewater for reuse. This study employs Matlab R2020a and Python 2023 to model experimental designs for treating textile production wastewater using the Fenton oxidation method, aiming to address sustainability concerns in the industry.

Design/methodology/approach

The Fenton oxidation process's efficacy and optimal operating conditions were determined through experimental sets employing the Box–Behnken design. Assessing machine learning algorithms on the data, Matlab R2020a utilized an artificial neural network (ANN), while Python 2023 employed support vector regression (SVR), decision trees (DT), and random forest (RF) models. Evaluation of model performance relied on regression coefficient (R2) and mean square error (MSE) outcomes. This methodology aimed to refine the Fenton oxidation process and identify the most efficient parameters, leveraging a combination of experimental design and advanced computational techniques across different programming platforms.

Findings

The study identified optimal conditions: pH 3, Fe+2 concentration of 0.75 g/L, and H2O2 concentration of 5 mM, yielding 87% COD removal. The Box–Behnken design achieved a high R2 of 0.9372, indicating precise predictions. Artificial neural networks (ANN) and support vector regression (SVR) exhibited successful applications, notably achieving an R2 of 0.99936 and low MSE of 0.00416 in the ANN (LOGSIG) model. However, decision trees (DT) and random forests (RF) proved less effective with limited datasets. The findings underscore technology integration in treatment modeling and the environmental imperative of wastewater purification and reuse.

Originality/value

This study, in which water use and wastewater treatment are evaluated with technological integration such as machine learning and data management, reveals how to contribute to targets 6, 9, 12, and 14 within the scope of UNEP 2030 sustainable development goals.

Details

International Journal of Clothing Science and Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0955-6222

Keywords

Available. Open Access. Open Access
Article
Publication date: 20 October 2023

Long Chu

This paper aims to focus on scrutinizing the economics of greenhouse gas (GHG) emissions in Vietnam's rice production sector.

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Abstract

Purpose

This paper aims to focus on scrutinizing the economics of greenhouse gas (GHG) emissions in Vietnam's rice production sector.

Design/methodology/approach

Using surveyed data from household rice producers, the smallest available production scale, the author delves into the economics of GHG emissions, constructs a data-driven bottom-up marginal abatement cost curve for Vietnam’s rice production, and evaluates the impacts of carbon pricing on production outputs and GHG emissions.

Findings

The author’s estimates reveal that the average profit earned per tonne of GHG emissions is $240/tCO2. Notably, the profit earning per tonne of GHG emissions varies substantially across producers, indicating significant opportunities for improvement among low-efficiency producers. The analysis suggests that a reasonable carbon price would yield a modest impact on the national rice output. The quantitative analysis also reaffirms that the primary driver of GHG emissions in Vietnam’s rice production stems from non-energy inputs and industrial processes rather than the utilisation of energy inputs, emphasizing the importance of improving cultivation techniques.

Originality/value

This research is original.

Details

Fulbright Review of Economics and Policy, vol. 3 no. 2
Type: Research Article
ISSN: 2635-0173

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Article
Publication date: 19 January 2024

Anna Fedyunina, Liudmila Ruzhanskaya, Nikolay Gorodnyi and Yuri Simachev

This paper aims to discuss the firm productivity premium for servitized firms. It discusses servitization across the product value chain and estimates the effects of the range and…

220

Abstract

Purpose

This paper aims to discuss the firm productivity premium for servitized firms. It discusses servitization across the product value chain and estimates the effects of the range and extent of servitization on productivity premium in manufacturing firms.

Design/methodology/approach

This paper develops a conceptual framework and tests the hypotheses on the effects of servitization on productivity premium using linear regression models with a sample of 20,837 Russian manufacturing firms gathered from the Ruslana Bureau van Dijk database and the Russian customs service.

Findings

Servitized firms exhibit higher total factor productivity and labor productivity. The labor productivity premium increases with the number of services offered. However, the impact of services on productivity varies along the product value chain: postmanufacturing and postsales services enhance productivity premium, while manufacturing and back-office services diminish them. The effect of establishment services remains ambiguous.

Practical implications

This paper offers an analytical framework for firms to assess their servitization strategies. These strategies should be gradual, focused on enhancing firm efficiency rather than being an end goal. Firms should initiate the process by introducing services at the postproduction and postsales stages of the product creation chain to achieve productivity premium.

Originality/value

The paper extends the evidence on firm-level productivity drivers and contributes to the servitization theory. A servitization strategy should be portfolio-based, considering both the potential gains and losses in productivity resulting from the implementation of specific services.

Details

Journal of Business & Industrial Marketing, vol. 39 no. 7
Type: Research Article
ISSN: 0885-8624

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