Let’s drive environmentally friendly: A perspective from asymmetrical modelling by using fuzzy set qualitative comparative analysis

Abbasi, Ghazanfar Ali; Quan, Lai Shu; Kumar, Kavigtha Mohan; Iranmanesh, Mohammad

doi:10.1007/s12144-022-03813-5

Cited by 5 publications

(2 citation statements)

References 91 publications

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“…This study uses a dual-method approach, examining the complex relationship between green HRM practices, pro-environmental behavior, and future sustainability through the use of partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) [8]. The principal objective is to develop a theoretical framework that investigates the causes of employees' proenvironmental behavior and the way it affects the sustainability of the firm (Ansari.…”

Section: Introductionmentioning

confidence: 99%

Configurational Insights into Achieving Future Sustainability through Green Human Resource Management Practices

Asghar,

Abbas,

Khan

et al. 2024

SAJSSE

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This study explores the ways in which green human resource management (GHRM) practices, by encouraging environmentally conscious behavior among staff members, contribute to the attainment of future sustainability in organizations. Engaging employees in green projects and implementing eco-friendly practices have become increasingly important as firms look to gain a competitive edge. The effect of GHRM procedures on workers' opinions of their company's dedication to sustainability and pro-environmental conduct, however, has not received much attention from researchers. In particular, the study focuses at the way three important GHRM elements green recruiting, green training, and green compensation affect pro-environmental behavior in businesses. Data from 328 employees in the manufacturing and service industries was gathered via online surveys conducted with Google Forms. Sophisticated analytical methods such as fuzzy-set qualitative comparative analysis (fsQCA) and Smart-PLS were employed. The findings emphasize the importance that green hiring, green training, and green pay are to obtaining a competitive edge and attaining sustainability in the future. It has been determined that all three of the GHRM practices are essential to the survival of businesses, especially in light of the growing social and environmental issues. Businesses must incorporate Green HRM (GHRM) principles into their daily operations to create practices and policies that support environmental objectives. Pro-environmental conduct on the part of employees is recognized as a critical means of encouraging staff members to adopt green practices while preserving organizational resources, which in turn makes a substantial contribution to the sustainability of the business. It highlights the value of GHRM as a tool for businesses to advance ecological and societal well-being while accomplishing long-term sustainability objectives.

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Section: Introductionmentioning

confidence: 99%

Configurational Insights into Achieving Future Sustainability through Green Human Resource Management Practices

Asghar,

Abbas,

Khan

et al. 2024

SAJSSE

View full text Add to dashboard Cite

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“…To fill this gap, it is critical to assess the sufficiency and necessity of the factors under study in achieving the expected outcome [ 31 ]. This evaluation should occur from the vantage point of complexity theory and configurational models, thus making complexity theory an ideal theoretical framework for this research.…”

Section: Introductionmentioning

confidence: 99%

Understanding consumers’ intentions to purchase smart clothing using PLS-SEM and fsQCA

Chen,

2023

PLoS ONE

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With the advancement of artificial intelligence (AI) and the Internet of Things (IoT), smart clothing, which has enormous growth potential, has developed to suit consumers’ individualized demands in various areas. This paper aims to construct a model that integrates that technology acceptance model (TAM) and functionality-expressiveness-aesthetics (FEA) model to explore the key factors influencing consumers’ smart clothing purchase intentions (PIs). Partial least squares structural equation modeling (PLS-SEM) was employed to analyze the data, complemented by fuzzy-set qualitative comparative analysis (fsQCA). The PLS-SEM results identified that the characteristics of functionality (FUN), expressiveness (EXP), and aesthetics (AES) positively and significantly affect perceived ease of use (PEOU), and only EXP affects perceived usefulness (PU). PU and PEOU positively impact consumers’ attitudes (ATTs). Subsequently, PU and consumers’ ATTs positively influence PIs. fsQCA revealed the nonlinear and complex interaction effects of the factors influencing consumers’ smart clothing purchase behaviors and uncovered five necessary and six sufficient conditions for consumers’ PIs. This paper furthers theoretical understanding by integrating the FEA model into the TAM. Additionally, on a practical level, it provides significant insights into consumers’ intentions to purchase smart clothing. These findings serve as valuable tools for corporations and designers in strategizing the design and promotion of smart clothing. The results validate theoretical conceptions about smart clothing PIs and provide useful insights and marketing suggestions for smart clothing implementation and development. Moreover, this study is the first to explain smart clothing PIs using symmetric (PLS-SEM) and asymmetric (fsQCA) methods.

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Exploring the determinants affecting the usage of blockchain-based remittance services: an empirical study on the banking sector

Mansoor

Abbasi

et al. 2023

Behaviour & Information Technology

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Let’s drive environmentally friendly: A perspective from asymmetrical modelling by using fuzzy set qualitative comparative analysis

Cited by 5 publications

References 91 publications

Configurational Insights into Achieving Future Sustainability through Green Human Resource Management Practices

Configurational Insights into Achieving Future Sustainability through Green Human Resource Management Practices

Understanding consumers’ intentions to purchase smart clothing using PLS-SEM and fsQCA

Exploring the determinants affecting the usage of blockchain-based remittance services: an empirical study on the banking sector

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