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Article
Publication date: 11 October 2023

Denise Voci and Matthias Karmasin

This conceptual paper aims to explore the current state of sustainability communication research, focusing on the challenges of communicating inconvenient truths in an era of…

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Abstract

Purpose

This conceptual paper aims to explore the current state of sustainability communication research, focusing on the challenges of communicating inconvenient truths in an era of scientific mistrust. Therefore, this study aims to (1) examine the existing research landscape in sustainability communication, (2) identify unresolved problems and challenges, and (3) propose strategies for counteract misinformation through targeted communication.

Design/methodology/approach

For this, the authors conducted a critical literature review and analyzed the resulting sample (n = 473 journal articles) by means of qualitative content analysis to (1) evaluate existing communication approaches dealing with the communication of sustainability's inconvenient truth, (2) identify stakeholder groups involved in sustainability communication, (3) discuss limitations of current communication approaches and (4) present recommendations on (more) effective communication strategies to address the unresolved issues in sustainability communication.

Findings

The analysis reveals that when it comes to sustainability communication and its unresolved problems, literature refers to four key stakeholder groups: (1) science deniers; (2) adaptation skeptics; (3) whitewashers and (4) world saviors. Furthermore, the analysis provides valuable insights into the complex dynamics involved in communicating sustainability, emphasizes the need for tailored approaches to engage and address the concerns of each stakeholder group, and exposes limitations in current communication methods and approaches. Accordingly, the analysis highlights the necessity of developing new theories, models and methods specific to sustainability communication to tackle its unique challenges effectively.

Research limitations/implications

Like our society, communication sciences need a fundamental transformation to meet sustainability communication's new challenges induced by the necessary shift toward sustainable development.

Originality/value

This paper provides a comprehensive overview of the current state of sustainability communication in research, specifically addressing the challenges of effectively communicating unpleasant news in the context of scientific mistrust. It fills a gap in existing literature by examining the progress made in addressing these issues and identifying the emerging challenges that need to be addressed.

Details

Journal of Communication Management, vol. 28 no. 1
Type: Research Article
ISSN: 1363-254X

Keywords

Article
Publication date: 7 March 2022

Geetha Margret Soundri, Kavitha S. and Senthil Kumar B.

The essential properties of active sports fabrics are moisture management, quick-drying, body heat management and thermal regulations. Fibre type, blending nature, yarn and fabric…

Abstract

Purpose

The essential properties of active sports fabrics are moisture management, quick-drying, body heat management and thermal regulations. Fibre type, blending nature, yarn and fabric structure and the finishing treatment are the key parameters that influenced the performance of the clothing meant for sportswear. This study aims to investigate the effect of fibre blending and structural tightness factors on bi-layer sport fabric's dimensional, moisture management and thermal properties.

Design/methodology/approach

In this study, 12 different bi-layer inter-lock fabrics were produced. Polyester filament (120 Denier) yarn was fed to form the backside of the fabric, and the face side was varied with cotton, modal, wool and soya spun yarns of 30sNe. Three different types of structural tightness factors were considered, such as low, medium and high were taken for sample development. The assessment towards dimensional, moisture management and thermal properties was carried out on all the samples.

Findings

The polyester-modal blend with a high tightness factor has shown maximum overall moisture management capability (OMMC) values of 0.73 and air permeability of 205.3 cm3/cm2/s. The same sample has shown comparatively higher thermal conductivity of 61.72 × 10–3 W m-1 °C-1(Under compression state) and 58.45 × 10–3 W m-1 °C-1 (under recovery state). In the case of surface roughness is concerned, polyester-modal blends have shown the lowest surface roughness, surface roughness amplitude and surface friction co-efficient. Among the selected fibre combinations, the overall comfort level of polyester-modal bi-layer knitted structure with a higher tightness factor is appreciable. Polyester-modal is more suitable for active sportswear among the four fiber blend combinations.

Research limitations/implications

The outcome of this study will help to gain a better understanding of fibre blends, structural tightness factor and other process specifications for the development of bi-layer fabric for active sportswear applications. The dynamic functional testing methods (Moisture management and Thermal properties) were carried out to simulate the actual wearing environment of the sports clothing. This study will create a new scope of research opportunities in the field of bi-layer sports textiles.

Originality/value

This study was conducted to explore the influence of fibre blend and structural tightness factor on the comfort level of sportswear and to find the suitable fibre blend for active sportswear clothing.

Details

Research Journal of Textile and Apparel, vol. 27 no. 4
Type: Research Article
ISSN: 1560-6074

Keywords

Article
Publication date: 31 January 2024

Wiah Wardiningsih, Farhan Aqil Syauqi Pradanta, Ryan Rudy, Resty Mayseptheny Hernawati and Doni Sugiyana

The purpose of this study is to analyse the characteristics of cellulose fibres derived from the pseudo-stems of Curcuma longa and to evaluate the properties of non-woven fabric…

Abstract

Purpose

The purpose of this study is to analyse the characteristics of cellulose fibres derived from the pseudo-stems of Curcuma longa and to evaluate the properties of non-woven fabric produced using these fibres.

Design/methodology/approach

The fibres were extracted via a decortication method. The acquired intrinsic qualities of the fibres were used to assess the feasibility of using them in textile applications. The thermal bonding approach was used for the development of the non-woven fabric, using a hot press machine with low-melt polyester fibre as a binder.

Findings

The mean length of Curcuma longa fibres was determined to be 52.73 cm, with a fineness value of 4.00 tex. The fibres exhibited an uneven cross-sectional morphology, characterized by a diverse range of oval-shaped lumens. The fibre exhibited a tenacity of 1.45 g/denier and an elongation value of 4.30%. The fibres possessed a moisture regain value of 11.30%. The experimental non-woven fabrics had consistent weight and thickness, while exhibiting different properties in terms of tensile strength and air permeability, with Fabric C having the highest tensile strength and the lowest air permeability value.

Originality/value

The features of Curcuma longa fibre, obtained with the decortication process, exhibited suitability for textile applications. Three experimental non-woven fabrics comprising different compositions of Curcuma longa fibre and low-melt polyester fibre were produced. The tensile strength and air permeability properties of these fabrics were influenced by the composition of the fibres.

Details

Research Journal of Textile and Apparel, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1560-6074

Keywords

Article
Publication date: 18 February 2022

Muhammad Umar Nazir, Muhammad Usman Javaid, Khubab Shaker, Yasir Nawab, Tanveer Hussain and Muhammad Umair

This paper aims to develop bilayer woven fabrics with different picking sequences with enhanced comfort without any change in the constituent materials.

Abstract

Purpose

This paper aims to develop bilayer woven fabrics with different picking sequences with enhanced comfort without any change in the constituent materials.

Design/methodology/approach

Six bilayer woven fabrics were produced on Dobby loom with 3/1 twill weave using micro-polyester yarn. Three different picking sequences, i.e. single pick insertion (SPI), double pick insertion (DPI) and three pick insertion (3PI), were used in both face and back layers. The effect of picking sequence on air permeability (AP), volume porosity, thermal resistance and overall moisture management capability (OMMC) of the samples were analyzed.

Findings

The results showed that 3PI–3PI picking sequence gives the highest OMMC, AP and thermal resistance in bilayer woven fabrics and the least results exhibited by SPI–SPI picking sequence.

Research limitations/implications

This research uses a bilayer woven system that develops channels and trapes the air causing higher thermal resistance; therefore, applicable for winter sports clothing rather than for summer wear. Developed bilayer woven fabrics can be used in winter sportswear to improve the comfort of the wearer and reduce fatigue during activity.

Originality/value

Authors have developed bilayer fabrics by changing the picking sequences, i.e. SPI, DPI and 3PI of weft yarns in both layers and compared their thermo-physiological comfort properties.

Details

Research Journal of Textile and Apparel, vol. 27 no. 4
Type: Research Article
ISSN: 1560-6074

Keywords

Article
Publication date: 29 March 2024

Rıza Atav and Özge Çolakoğlu

The purpose of this study is to determine the effect of laser treatment on disperse dye-uptake and fastness values of polyester fabrics. Furthermore, it was aimed to evaluate…

Abstract

Purpose

The purpose of this study is to determine the effect of laser treatment on disperse dye-uptake and fastness values of polyester fabrics. Furthermore, it was aimed to evaluate colors directly over the photos of fabric samples instead of color measuring with spectrophotometer which is thought to be useful in terms of online digital color assessment.

Design/methodology/approach

In this study, 100% polyester (150 denier) single jersey knitted fabrics (weight: 145 g/m2, course density: 15 loops/cm, wale density: 24 loops/cm) were used in the trials. The effect of laser treatments before and after dyeing on color was investigated. Laser treatments were applied to fabrics at different resolutions (20, 25 and 30 dpi) and pixel times (60, 80 and 100 µs) before dyeing. The power of the laser beam was 210 W and the wavelength was 10.6 µm. In order to determine the effect of laser treatment on polyester; FTIR analysis, SEM-EDX analysis and bursting strength tests were applied to untreated and treated fabric samples.

Findings

It was found that treatments with laser have a significant effect on disperse dye-uptake of polyester fibers, and for this reason laser-treated fabrics were dyed in darker shade. Furthermore, it was determined that the samples treated at 30 dpi started to melt and the fabric was damaged considerably, but the fabrics treated at 20 and 25 dpi were not affected at all. Another result obtained regarding the use of laser technology in polyester fabrics is that if some areas of fabrics are not treated with laser and some other areas are treated with laser at 20 dpi 60 µs and 25 dpi 60 µs, it will be possible to obtain patterns containing three different shades of the same color on the fabric.

Originality/value

When the literature is examined, it is seen that there are various studies on the dyeability and patterning of polyester fabrics with disperse dyes by laser technology. As it is known, today color measurement is done digitally using a spectrophotometer. However, when we look at a photograph on computer screens, the colors we see are defined by RGB (red-green-blue) values, while in the spectrophotometer they are defined by L*a*b* (L*: lightness-darkness, a*: redness-greenness, b*: yellowness-blueness) values. Especially when it is desired to produce various design products by creating patterns with laser technology, it would be more useful to show the color directly to the customer on the computer screen and to be able to speak over the same values on the color. For this reason, in this study, the color measurement of the fabric samples was not made with a spectrophotometer, instead, the RGB values obtained from the photographs of the samples were converted into L*a*b* values with MATLAB and interpreted, that is, a digital color evaluation was made on the photographs. Therefore, it is believed that this study will contribute to the literature.

Details

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

Keywords

Book part
Publication date: 4 September 2023

Vasuki Shastry

Abstract

Details

The Notorious ESG
Type: Book
ISBN: 978-1-80455-545-3

Article
Publication date: 9 November 2022

Meryem Uluskan and Merve Gizem Karşı

This study aims to emphasize utilization of Predictive Six Sigma to achieve process improvements based on machine learning (ML) techniques embedded in define, measure, analyze…

Abstract

Purpose

This study aims to emphasize utilization of Predictive Six Sigma to achieve process improvements based on machine learning (ML) techniques embedded in define, measure, analyze, improve, control (DMAIC). With this aim, this study presents selection and utilization of ML techniques, including multiple linear regression (MLR), artificial neural network (ANN), random forests (RF), gradient boosting machines (GBM) and k-nearest neighbors (k-NN) in the analyze and improve phases of Six Sigma DMAIC.

Design/methodology/approach

A data set containing 320 observations with nine input and one output variables is used. To achieve the objective which was to decrease the number of fabric defects, five ML techniques were compared in terms of prediction performance and best tools were selected. Next, most important causes of defects were determined via these tools. Finally, parameter optimization was conducted for minimum number of defects.

Findings

Among five ML tools, ANN, GBM and RF are found to be the best predictors. Out of nine potential causes, “machine speed” and “fabric width” are determined as the most important variables by using these tools. Then, optimum values for “machine speed” and “fabric width” for fabric defect minimization are determined both via regression response optimizer and ANN surface optimization. Ultimately, average defect number was decreased from 13/roll to 3/roll, which is a considerable decrease attained through utilization of ML techniques in Six Sigma.

Originality/value

Addressing an important gap in Six Sigma literature, in this study, certain ML techniques (i.e. MLR, ANN, RF, GBM and k-NN) are compared and the ones possessing best performances are used in the analyze and improve phases of Six Sigma DMAIC.

Article
Publication date: 23 February 2024

Olga Garanina, Daria Klishevich and Andrei Panibratov

This study aims to explore when and under what conditions state-owned enterprises (SOEs) become important players in orchestrating the global climate action and what their roles…

Abstract

Purpose

This study aims to explore when and under what conditions state-owned enterprises (SOEs) become important players in orchestrating the global climate action and what their roles are as domestic or international (de)carbonizers.

Design/methodology/approach

This is a conceptual paper that aims to advance understanding of the role of SOEs in addressing the global climate challenge. The authors build on the institutional theory to capture the importance of home-country climate regulation mechanisms and advance knowledge on the internationalization of SOEs. The authors review the literature on the institutional boundaries that shape the environmental activities of firms at home and abroad and develop the argument on the influence of home country institutions and internationalization on the role of SOEs in the global climate agenda.

Findings

In this study, the authors elaborate the SOEs’ climate action matrix and offer three propositions based on the fact that SOEs’ environmental strategies are driven by the interests of the state as owner and the scope of SOEs’ internationalization. First, the authors propose that the level of home country’s climate policy ambition explains SOEs’ stance on climate action. Second, scope of internationalization explains SOEs’ stance on climate action. Third, the progressive/increasing involvement of SOEs in climate action enhances the country’s climate stance.

Originality/value

The authors incorporate the climate argument into international business (IB) studies of SOEs’ internationalization, a novel approach that helps us to advance the knowledge on the complex issue of corporate climate action. The authors argue for a dynamic and reciprocal relationship between home/host countries and SOEs’ climate engagement. In doing this, the authors contribute to the IB research and policy agenda by exploring SOEs’ engagement in advancing the global climate agenda.

Details

Critical Perspectives on International Business, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1742-2043

Keywords

Abstract

Details

Communicating Climate
Type: Book
ISBN: 978-1-83753-643-6

Book part
Publication date: 23 November 2023

Claudine Kuradusenge-McLeod

This chapter explores the dual, contentions spaces of consciousness the Rwandan diaspora communities navigate. First of which was created through the stories of trauma and…

Abstract

This chapter explores the dual, contentions spaces of consciousness the Rwandan diaspora communities navigate. First of which was created through the stories of trauma and displacement since the Rwandan genocide and is influenced by the current Rwandan government's control over narratives of identities and remembrance both socially and politically. The second originated from the younger generations' attempt to assimilate to the only country they have never lived in and personally known. In this second space, the younger generations were forced, consciously or unconsciously, to choose between their communities' attachment to the past or creating a new path or future. Most importantly, being in diaspora means accepting that the different generations will often remain at the periphery of the new country, like outsiders looking inward. This phenomenon of social exclusion is a result of different factors, such as social categorisation, collective trauma and the narratives of otherness, which shape the different generations' identity shifts and sense of belonging. Using a phenomenological research method, this study analysed how one event, the 1994 Rwandan genocide, changed the meaning of diaspora consciousness and divided the communities into social categories such as ‘victims’ and ‘perpetrators’. Using the experiences of Rwandan American diaspora communities, I explored the impact of the labels of ‘victim’ and ‘perpetrator’ and how they have not only created specific narratives around remembrance and accountability but also crystallised the normative ideas of who was harmed and who was responsible for inflicting that harm. This chapter analysed the Rwandan communities' social development and assimilation, their understanding of their pasts and their members' social and political engagements in addressing their roles in their communities and nations.

Details

Migrations and Diasporas
Type: Book
ISBN: 978-1-83797-147-3

Keywords

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