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Article
Publication date: 12 February 2024

Boyi Li, Miao Tian, Xiaohan Liu, Jun Li, Yun Su and Jiaming Ni

The purpose of this study is to predict the thermal protective performance (TPP) of flame-retardant fabric more economically using machine learning and analyze the factors…

Abstract

Purpose

The purpose of this study is to predict the thermal protective performance (TPP) of flame-retardant fabric more economically using machine learning and analyze the factors affecting the TPP using model visualization.

Design/methodology/approach

A total of 13 machine learning models were trained by collecting 414 datasets of typical flame-retardant fabric from current literature. The optimal performance model was used for feature importance ranking and correlation variable analysis through model visualization.

Findings

Five models with better performance were screened, all of which showed R2 greater than 0.96 and root mean squared error less than 3.0. Heat map results revealed that the TPP of fabrics differed significantly under different types of thermal exposure. The effect of fabric weight was more apparent in the flame or low thermal radiation environment. The increase in fabric weight, fabric thickness, air gap width and relative humidity of the air gap improved the TPP of the fabric.

Practical implications

The findings suggested that the visual analysis method of machine learning can intuitively understand the change trend and range of second-degree burn time under the influence of multiple variables. The established models can be used to predict the TPP of fabrics, providing a reference for researchers to carry out relevant research.

Originality/value

The findings of this study contribute directional insights for optimizing the structure of thermal protective clothing, and introduce innovative perspectives and methodologies for advancing heat transfer modeling in thermal protective clothing.

Details

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

Keywords

Article
Publication date: 21 October 2022

Wei Deng, Ming Jia and Zhe Zhang

This paper aims to investigate the differential moderating effects of two types (internal/external) of corporate social responsibility (CSR) on the relationship between…

Abstract

Purpose

This paper aims to investigate the differential moderating effects of two types (internal/external) of corporate social responsibility (CSR) on the relationship between distributive injustice and organization-directed revenge through the mediating role of negative emotions.

Design/methodology/approach

This paper conducts two studies. Study 1 was a vignette study based on a sample of 501 part-time master of business administration students in China aimed at testing the moderating effects of different levels of internal (external) CSR. Study 2 involved a laboratory experiment in which 108 postgraduate students were recruited to scrutinize the contrasting moderating effects of different types of CSR (internal vs external) and test the underlying mechanisms of negative emotions. The latest facial expression analysis technology (FaceReader 5.0 software) was used to detect participants’ emotional state.

Findings

Study 1 demonstrates that internal CSR buffers the relationship between distributive injustice and organizational revenge behavior through negative emotions. However, the moderating effect of external CSR is not significant. Study 2 reveals that compared with external CSR, distributive injustice induces fewer negative emotions in the presence of internal CSR and the mediating role of negative emotions detected by the facial expression analysis software is also verified.

Practical implications

The authors hope that the findings of this paper can provide theoretical references for enterprise managers to enhance their employee governance, develop more effective intervention policies and formulate corresponding coping mechanisms to prevent and mitigate workplace revenge behaviors.

Originality/value

First, this paper enriches the literature on the relationship between injustice and organization revenge by introducing CSR as an employee governance tool. Second, this paper reconciles prior inconsistent findings about employee response to CSR in the occurrence of negative events by distinguishing between external and internal CSR and examining the differential moderating effects of two types of CSR. Such distinction is derived from the heterogeneous justice perceptions arising from different CSR actions. In addition, the authors measure participants’ negative emotions through a multi-method approach integrating the latest technology for facial expression analysis and the PANAS scale, which represents a method advancement and provides implications for measuring emotions.

Details

Chinese Management Studies, vol. 17 no. 6
Type: Research Article
ISSN: 1750-614X

Keywords

Article
Publication date: 16 May 2023

Sadia Aziz and Muhammad Abdullah Khan Niazi

Tourists’ irresponsible behaviours (e.g. damaging flowers, writing and painting on the walls and throwing waste material in the water and around the sea site) damage the coastal…

Abstract

Purpose

Tourists’ irresponsible behaviours (e.g. damaging flowers, writing and painting on the walls and throwing waste material in the water and around the sea site) damage the coastal environment. The irresponsible behaviour of tourists has raised concerns about the sustainability of the coastal tourism environment. The purpose of this study is to identify and explain the behavioural patterns of tourists that can influence the environmentally responsible behaviours (ERBs) of tourists, particularly in the context of coastal tourism. The study aims to provide a theoretical and practical explanation of destination image and perceived destination value (PDV) in shaping ERB with the mediating role of destination social responsibility (DSR) among tourists at the coastal touring destination.

Design/methodology/approach

The study used a quantitative research design and data were gathered from the five beaches in Karachi. Structured equation model was used to analyse the direct and mediating effect while stepwise regression was used to analyse the moderating effect of DSR. The results of the direct effect showed that cognitive image has a significant effect on the affective image, while the insignificant effect on conative image and ERB. While the affective image has a significant effect on conative and ERB, and finally, results showed a significant effect of conative image on ERB. Results of the study revealed that PDV significantly mediated the relationship between cognitive, affective and conative destination image and ERB. Finally, the study’s results revealed that DSR has significantly moderated the relationship between affective, conative destination image, PDV and ERB.

Findings

The results are divided into three categories, direct effect, mediating effect and moderating effect. The results of the direct effect showed that cognitive image has a significant effect on the affective image, while the insignificant effect on conative image and ERB. While affective image has a significant effect on conative and ERB, and finally, results showed a significant effect of conative image on ERB. It is found in the results that PDV significantly mediated the relationship between cognitive, affective and conative destination image and ERB. Finally, the study’s results revealed that DSR has significantly moderated the relationship between affective, conative destination image, PDV and ERB.

Research limitations/implications

First, data has been collected from a single geographic area of Pakistan. Therefore, cross-country data are required to compare the ERB of tourists. Second, only local respondents are considered in the study; future studies may include foreign tourists as well. Finally, data has been collected during one month in summer, which may have measured the experience of only summer. The respondent may have different perceived values and destination images during winter. The future study may split data collection into summer and winter to cover diverse perceptions of tourists.

Social implications

It is almost impossible for coastal destinations to achieve a competitive advantage without attaining sustainable coastal environments. Clean and green beaches and responsible behaviour towards marine mammals can only be achieved through tourists’ ERB. This study has major contributions towards society by reserving the natural environment of coastal areas.

Originality/value

This research will significantly contribute to the existing literature by extending the ERB knowledge through the theoretical lens of cognitive-affective-conative models and social expectancy theory. Moreover, PDV as a mediator and DSR as a moderator will enhance the understanding of ERB and extend the existing literature. Further research has provided a strong understanding of how cognitive, effective and conative image helps in influencing the ERB of tourists. Moreover, research will benefit destination managers and policymakers to enhance the image and perceived value of touring destinations. Finally, this study is a unique attempt to present a comprehensive model which could be applicable to diverse situations and areas.

Details

Social Responsibility Journal, vol. 19 no. 10
Type: Research Article
ISSN: 1747-1117

Keywords

Article
Publication date: 13 December 2022

Pallavi Chaturvedi, Kushagra Kulshreshtha, Vikas Tripathi and Durgesh Agnihotri

The current study aims to investigate the various consumption motives (hedonic, gain and normative) responsible for strengthening consumers' intentions toward purchase behavior…

Abstract

Purpose

The current study aims to investigate the various consumption motives (hedonic, gain and normative) responsible for strengthening consumers' intentions toward purchase behavior for electric vehicle (EV).

Design/methodology/approach

A total of 411 valid survey responses were collected using a structured questionnaire. Data were analyzed using confirmatory factor analysis and structural equation modeling to investigate the empirical fit of the hypothesized framework.

Findings

The results of structural equation modeling revealed that all three motives were positively correlated with purchase intentions for EV. Hedonic motives were found to have the strongest influence on purchase intentions. In addition, gain and normative motives were also found to be significant predictors of EV buying behavior. Further analysis revealed a positive correlation between gain, normative and hedonic motives. Moreover, personal moral standards seem to have a significant and positive impact on the positive emotions associated with buying EV.

Practical implications

The results of current research can be useful for marketers while designing promotional strategies for all the high-involvement green products. Marketing professionals and policymakers can use these results to build effective marketing strategies for EVs and reduce greenhouse gas emissions resulting from personal vehicle use.

Originality/value

To the best of the authors' knowledge, this is the first study in the South Asian region that explores consumers' motives for EV purchase behavior. Further, this is among a few studies, which have attempted to investigate the impact of hedonic, gain and normative motives on green purchase behavior in the context of high involvement green products.

Details

Benchmarking: An International Journal, vol. 30 no. 10
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 20 January 2022

Fredrick Ahenkora Boamah, Jianhua Zhang, Muhammad Usman Shehzad, Sherani and Dandan Wen

Creativity and productivity are important factors for corporate and government institutions in the COVID-19 era. As a result, there is an urgent need to ensure that construction…

Abstract

Purpose

Creativity and productivity are important factors for corporate and government institutions in the COVID-19 era. As a result, there is an urgent need to ensure that construction projects can recover adequately to survive potential surges or even potential epidemics. Therefore, this study aims to explore social capital by examining the effect/impact of knowledge creation on construction performance in the COVID-19 era.

Design/methodology/approach

A simple random sampling approach focused on Ghanaian construction firms was used. Completed responses were obtained and analyzed from employees who had tasks on sites. SmartPLS 3.3.3 and Statistical Package for Social Sciences v. 26 was used.

Findings

One key finding from this research was that construction firms with solid social capital built by their management staff are more connected and have better adaptive systems than firms with low capital. A company’s development programs must concentrate not only on the development of targeted or selective know-how and professional abilities but also on capacity creating, collaboration and knowledge creation and sharing among its employees.

Originality/value

Using this study’s findings, construction professionals can develop successful solutions to the COVID-19 epidemic and future emergencies. Additionally, the comprehensive exposition of the implications, constraints and preventive methods in this study may enable scholars to discover current gaps in the literature and investigate other elements of the pandemic’s influence on the construction industry.

Details

Journal of Engineering, Design and Technology , vol. 22 no. 2
Type: Research Article
ISSN: 1726-0531

Keywords

Article
Publication date: 19 March 2024

Rizwana Hameed, Naeem Akhtar and Anshuman Sharma

Utilizing the theoretical foundation of the stimulus-organism-response framework, the present work developed and investigated a conceptual model. The work explores the effects of…

Abstract

Purpose

Utilizing the theoretical foundation of the stimulus-organism-response framework, the present work developed and investigated a conceptual model. The work explores the effects of perceived risk of COVID-19 on tourists' choice hesitation and choice confidence. Furthermore, it examines the impacts of choice hesitation and choice confidence on psychological distress, which, in turn, influences purchase intentions and risk-protective behavior. Additionally, the study assesses the boundary effects of vulnerability on the association between choice hesitation, choice confidence, and psychological distress.

Design/methodology/approach

An online survey was administered in China during COVID-19 to assess the postulated hypotheses. We collected 491 responses using purposive sampling, and covariance-based structural equation modeling (CB-SEM) was performed to investigate the relationships.

Findings

Results show that the perceived risk of COVID-19 positively influences the choice hesitation and negatively impact choice confidence. It was also found that choice hesitation and choice confidence positively developed psychological distress, which, in turn, negatively triggered purchase intentions and positively developed risk-protective behavior. Additionally, perceived vulnerability had a significant moderating impact on the proposed relationships, strengthening psychological distress.

Originality/value

In the current context, this study measures bipolar behavioral outcomes using the S-O-R model. Because cognitive processes influence participation in health preventative behavior during the spread of diseases, we highlighted how the perception of risk and vulnerability to a pandemic serves as a reliable indicator of certain behaviors. This study advances understanding of how the psychological mindset of tourists copes with such circumstances. Due to the pandemic, tourists face limitations in their choices and are placing greater emphasis on adopting protective measures to mitigate associated risks.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

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