Greening the workforce in higher educational institutions: The pursuance of environmental performance

Does green HRM really matter for sustainable performance? The role of environmental consciousness and green intellectual capital

The purpose of this study is to investigate the impact of a set of green human resource management (HRM) practices on sustainable performance in Pakistani higher education institutions (HEIs), while also taking into account the mediating influence of environmental consciousness and green intellectual capital. Furthermore, the study aims to assess the association between environmental consciousness and green intellectual capital, along with the sustainable outcome. The study data was collected from 250 HR managers and executive officers who were responsible for implementing green HRM practices and sustainable performance in the education sector of Pakistan. Smart PLS-4 software was used to perform the statistical analysis of the data. According to the results of this study, green HRM practices play a substantial role in enhancing sustainable performance. The study also identified a link between green HRM practices and sustainable performance via environmental awareness and green intellectual capital. The research contributes to the theoretical paradigm's social cognitive theory by offering information on green HRM practice bundles and sustainable performance. The research also demonstrates that green intellectual capital and environmental consciousness operate as a bridge between green HRM practices and long-term sustainable performance. The study's findings have real-world applications for education, policymakers, and human resource managers at the highest levels. In order to achieve sustainable performance, the study emphasizes the significance of developing green intellectual capital and implementing green HRM practices.

Impact of waste management among Industry 4.0 and sustainable development

The study is aimed at investigating the impact of waste management in the context of Industry 4.0 and sustainable development. Data were collected from 257 production managers in the industrial sector using a survey questionnaire and analyzed using SPSS and PLS-SEM. The findings indicated that Industry 4.0 and waste management significantly contribute to achieving sustainable development. The integration of Industry 4.0 technologies and effective waste management practices can help organizations implement sustainable development goals. Practical implications include assisting organizations in implementing Industry 4.0 technologies and waste management strategies based on the 3Rs principle. This can lead to reduced environmental impacts and improved resource efficiency, contributing to sustainable development. Policymakers can also benefit from the study's insights to address waste management challenges and promote sustainable development. The study's originality lies in its incorporation of the cyber-physical system and niche theory to explore how Industry 4.0 can facilitate sustainable waste management. It highlights the transformative potential of Industry 4.0 in the industrial sector, particularly in developing countries. Overall, this research offers a unique contribution to understanding waste management within the context of Industry 4.0 and sustainable development.

Assessment of sustainable green financial environment: the underlying structure of monetary seismic aftershocks of the COVID-19 pandemic

The study aims to assess a sustainable green financial environment by exploring the underlying structure of monetary seismic aftershocks of the COVID-19 pandemic. This study is qualitative and uses a review of literature, primary data collection methods, and qualitative analysis techniques as the study's overall design. The data is collected by one-to-one interview using a matrix style questionnaire from a panel of experts based on the purposive sampling technique. Interpretive structural modeling (ISM) combined with Matrices' Impacts Cruise's Multiplication Appliquée a UN Classement (MICMAC) is used for assessment, modeling, and analysis of data. The monetary aftershocks, namely, "more cash in hand required," "decreased travel costs," "shift to more certain or fixed revenue streams," "lower rent costs," "more zealous monitoring of cash collection cycle," and "decreased entertainment costs," occupy level I (top of the model being least critical shocks), and "tedious regulations" occupy level VIII (bottom of the model being the most vital). Other aftershocks form the middle of the model being moderate critical. Analysis of MICMAC shows that monetary seismic aftershocks high fees for assistance regarding SOPs, tedious regulations, and more downtime due to pandemic alerts are independent. This study addresses the core issue from within the aftermath of the COVID-19 pandemic. It provides new important information regarding the structure of a sustainable green financial environment that is useful for economists, financial analysts, commercial and central bankers, accountants and finance managers from the organization's public/and private sectors, local and international community, and researchers of the domain. It provides an informative structural model and classification of critical aftershocks. There are specific data/methodological/resource-related limitations of the study. The study's data are collected from a focus group; the study's methodology is qualitative and indicates relations among variables that do not quantify the associations. The study is a typical initiative of academic researchers with limited financial/physical resources; therefore, the generalizability of the study results is accordingly limited. The study is based on original, essential data and innovatively and creatively approaches the problem. It provides a unique model of an unprecedented phenomenon for reverberating the sustainable green financial environment.

Understanding the Impact of Environmentally Specific Servant Leadership on Employees' Pro-Environmental Behaviors in the Workplace: Based on the Proactive Motivation Model

The increasingly severe environmental situation has brought challenges to the world, and organizations are aware of the importance of environmental management and are committed to changing individuals' environmental behavior patterns. Based on the proactive motivation model, this study constructs a moderated multiple mediation model to explore the impact mechanism and boundary conditions between environmentally specific servant leadership (ESSL) and employees' workplace pro-environmental behaviors (WPB). This study examines 440 Chinese industrial sector employees, and the linear regression method test results show that: (1) ESSL significantly promotes employees' WPB. (2) Green self-efficacy (GSE), green organizational identity (GOI), and environmental passion (EP) act as multiple mediators between ESSL and employees' WPB. (3) Green shared vision (GSV) positively moderates the relationship between ESSL and employees' WPB. This study provides a new theoretical perspective on how ESSL affects employees' WPB, which is analyzed from three aspects: "can do", "reason to", and "energized to". This new mechanism reveals that leaders should transform their leadership style to that of environmental service, and focus on enhancing the employees' GSE, GOI, and EP. Moreover, ESSL should make copious use of green strategy tools, such as GSV, to realize the above mechanism.

Does technology innovation matter for environmental pollution? Testing the pollution halo/haven hypothesis for Asian countries

China's GDP grew 9% annually during the end of the twentieth century. This economic growth degrades China's ecology, making it the world's greatest polluter. This position forced China to invest in developing nations and to take advantage of low-cost labor and increased pollution quotas from the World Trade Organization (WTO) to meet sustainable development objectives without environmental harm. The significance of this study is, first, this study examines the influence of Chinese outward foreign direct investment, gross domestic product, trade openness, technological innovation, and energy consumption on carbon emissions in Asian countries (Turkey, Pakistan, the Philippines, Singapore, India, Indonesia, and Cambodia). Secondly, the panel autoregressive distributed lag cointegration (ARDL) technique was used on data from 2000 to 2020 to investigate the pollution halo/haven hypothesis and environmental Kuznets curve hypothesis for south Asian nations. This analysis demonstrated that Chinese outbound foreign direct investment increases carbon emissions and confirms the pollution halo concept. Except for India and Pakistan, these nations show a U-shaped link between Chinese foreign direct investment and carbon emissions. So, policy implications recommended by the results of this study are foreign direct investment inflows with modern and ecofriendly technological transfer and enhancement in labor, and conservational management practices will benefit emerging countries to attain their sustainable development goals.

Lean, agile, resilient, and green human resource management: the impact on organizational innovation and organizational performance

There are four paradigms of lean, agile, resilient, and green (LARG) which can promote human resource culture to create novel ideas and increase performance in organizations. This study aims to conceptualize, develop, and validate four lean, agile, resilient, and green paradigms in human resource management (HRM) context and investigates how different LARG HRM elements can affect organizational innovation and performance. In this way, a conceptual model for investigating the LARG concept in HRM is proposed. A new tool to measure lean, agile, resilient, and green indicators in service industry has been developed. Using convenience sampling method, an online survey questionnaire is managed to collect data from 102 service sector organizations, including banking and financial services, transportation, hotel, telecom, and insurance, having more than 50 employees in Iran. The collected data are analyzed by partial least squares-structural equation modeling (PLS-SEM). The results indicate that the LARG HRM significantly and positively influences organizational performance. In addition, the LARG HRM indirectly affects organizational performance through organizational innovation. The findings also showed that employee's ability to perform several different jobs from the lean paradigm, paying attention to employee's ideas in decision-making from the agile paradigm, increasing the ability of staff to change rules in different situations from the resilient paradigm, and having employees with a full understanding of environmental policies from the green paradigm, is the most effective elements among the LARG paradigms factors. This study provides valuable insights into recognizing the most effective LARG elements and factors for implementing the LARG HRM in organizations and how it contributes to enhancing organizational performance and organizational innovation in order to achieve competitive advantage.

Effects of the green supply chain management practices on firm performance and sustainable development

The idea of sustainable development and green supply chain management is considered at the underlying stage in the research and academic fields, particularly in the rising economies of Asia. This research investigates the persuasive force of the firm's green supply chain management practices with the mediating part of the competitiveness and investment recovery. Data was collected from the 12 ISO 9001 and ISO 14001 leather industries based in Pakistan. We distributed the 350 questionnaires at 12 leather industries, and the questionnaire was also transferred on Google Forms, and 50 questionnaire mail to different individuals who work in leather industries of other cities of Pakistan; out of 350 questionnaires, 183 were filled, and the remaining questionnaires were incomplete, and out of 50 emails, we get the response of 33 emails, and evaluated the model of this study by using the partial least square structural equation modeling PLS-SEM. We interact with the employees of leather industries and try to understand how they are following the green practices in their firms. This research uses resource dependence theory as the theoretical base. This study elaborates how the organization's behavior is affected by the external resources of the corporation. The actual outcomes uncover that green supply chain management activities positively impacting the firm's performance, where competitiveness and investment recovery play a mediating role among intra-organizational green practices.