A triple theory approach to link corporate social performance and green human resource management

Environment Development and Sustainability, Journal Year: 2023, Volume and Issue: 26(6), P. 15733 - 15776

Published: May 22, 2023

Language: Английский

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Imperatives, Benefits, and Initiatives of Green Human Resource Management (GHRM): A Systematic Literature Review

Sustainability, Journal Year: 2023, Volume and Issue: 15(6), P. 4866 - 4866

Published: March 9, 2023

This scientific paper focuses on in-depth knowledge of the concept green human resource management in field and business. For this purpose, authors have used a systematic literature review to study research papers published Google Scholar. The results led appearance 925 articles from 2006 2022. By relying many criteria that were identified, only 131 chosen are most valuable related business, which intends determine impact application practices organizations know primary benefits, mechanisms implementation procedures. current reached several conclusions, among is best way survive preserve organizations, considering concerns protecting global environment. A proposed theoretical model has been shows consequences all work added values achieved by their application.

Language: Английский

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Modelling the determinants for sustainable smart city through interpretive structure modelling and analytic hierarchy process

Computational Urban Science, Journal Year: 2024, Volume and Issue: 4(1)

Published: June 12, 2024

Abstract Rapid increasing urbanization and resource scarcity are global phenomena nowadays, leading to the urban transformation of cities into smart cities. This article explores sustainability by using lens spirit place (SOP) for city development proposing a model attainment sustainable simultaneously based on Interpretive Structure Modelling (ISM) Analytic Hierarchy Process (AHP). study followed systematic approach utilizing an analytical framework that included extensive literature review experts' opinions identification pool indicators its evaluation validity, pilot testing, administration questionnaire population sample. The utilizes sample 142 participants who have witnessed their over years. research showed every has own identity known be ‘spirit place’ helps in assessing characteristics path planning development. It also developers should consider local populations’ views important aspects designing projects achieve with resilient infrastructure. will help facilitate at level developers, planners, decision-makers while crafting strategic plans.

Language: Английский

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Employee Readiness for GHRM and Its Individual Antecedents: Instrumental and Change-Based Approach

Sustainability, Journal Year: 2024, Volume and Issue: 16(11), P. 4776 - 4776

Published: June 4, 2024

The aim of this paper is to identify and assess the formation employees’ readiness implement green human resources management (GHRM) concept according two research approaches: an instrumental change-based approach, as well demonstrate influence selected individual antecedents on in business practice. study was achieved through empirical conducted using a survey method sample 214 employees managers from Poland. results obtained indicate high level respondents GHRM their companies, regardless measurement used. Moreover, it shown that personal environmental norms, following new paradigm organizational citizenship behaviors towards environment (OCBE), significantly positively shape for surveyed group. In contrast, there no significant effect change levels. This makes original novel contribution literature by proposing different approaches measuring readiness. conclusions formulated address implementation factors GHRM, enabling more effective into

Language: Английский

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Evaluation of green innovation capability and influencing factors in the logistics industry

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: March 15, 2024

Language: Английский

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Towards Scientists and Researchers Classification Model (SRCM)-based machine learning and data mining methods: An ISM-MICMAC approach

Journal of Innovation & Knowledge, Journal Year: 2024, Volume and Issue: 9(3), P. 100516 - 100516

Published: July 1, 2024

This study introduces an innovative automated model, the Scientists and Researchers Classification Model (SRCM), which employs data mining machine-learning techniques to classify, rank, evaluate scientists researchers in university settings. The SRCM is designed foster environment conducive creativity, innovation, collaboration among academics augment universities' research capabilities competitiveness. model's development roadmap, depicted Figure 1, comprises four pivotal stages: preparation, empowerment strategies, university-recognised ID, evaluation re-enhancement. implementation structured across three layers: input, ranking, recommendations assessments. An extensive literature review identifies ten principal procedures further evaluated by experts. utilises Interpretive Structural Modelling (ISM) analyse these procedures' interactions hierarchical relationships, revealing a high degree of interdependence complexity within framework. Key with significant influence include determining input sources collecting comprehensive lists researchers. Despite its approach, faces challenges, such as quality, ethical considerations, adaptability diverse academic contexts. Future developments collection methodologies, addressing privacy issues, will enhance long-term effectiveness environments. contributes theoretical understanding systems offers practical insights for universities that aim implement sophisticated data-centric classification models. For example, implementing models, can objectively assess faculty performance promotion or tenure. These models enable evaluations based on publication records, citation counts, teaching evaluations, fostering culture excellence guiding initiatives. limitations, has emerged promising tool transforming higher education institutions' management processes.

Language: Английский

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Prioritizing Factors Affecting E-Waste Recycling in India: A Framework for Achieving a Circular Economy

Circular Economy and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 31, 2024

Language: Английский

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Charting the future of green HRM practices: insights from theories, context, characteristics and methodologies (TCCM) framework and analytical hierarchy process (AHP) analysis

Journal of Management Development, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Purpose The term “green human resource management” (Green HRM) is becoming more prevalent in both academics and business. This study’s main objective to locate current understanding trends Green HRM literature by examining the available literature. And prioritize practices higher education institutions (HEIs). study also identifies prevailing theories, context, characteristics methodologies as research interests identify potential future areas HRM. Design/methodology/approach opted for a multi-method approach, combining (TCCM) review analytical hierarchy process (AHP) methodological analysis. article selection illustrated via Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) flowchart. examines using TCCM framework it aids identifying commonly used constructs methods, suggesting directions (FRDs). After core practices, prioritizes them HEIs AHP. Findings comprehensive analysis of provided framework, which most influential contexts, theory was found be ability-motivation-opportunity (AMO) theory, followed social identity theory. In hospitality industry dominating sector/industry domain. Under characteristics, various variables were identified classified antecedents, mediators, moderators outcomes. method quantitative, design empirical. FRDs are suggested analyzing field. finding AHP indicates that green recruitment holds highest level importance among HEIs. Research limitations/implications vital past-future orientation, past explored order build new routes research. It publications from Scopus database, studies may use other databases improve Practical implications weights ranks aid decision-makers assessing practice importance, facilitating pairwise comparisons before implementation service industries. guides managers on allocating appropriate each informed decision-making. Social enriches categorizing into four key offering valuable researchers. Its provides crucial insights landscape HRM, aiding variables, relevant sectors methodologies. offers theoretical realm Originality/value Existing no has employed approach initial phase conducts thorough analysis, methodology, unique methodology. connects findings FRDs. subsequent phase, based gaps TCCM. innovative fusion AHP, resulting implications, represents novelty this paper.

Language: Английский

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Green human resource management practices and sustainable development in India: A systematic literature review and future research agenda

Social Sciences & Humanities Open, Journal Year: 2025, Volume and Issue: 11, P. 101420 - 101420

Published: Jan. 1, 2025

Language: Английский

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Human Resource Management and Green Marketing

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 209 - 258

Published: May 2, 2025

This chapter explores the integration of Green Human Resource Management (Green HRM) and green marketing as essential strategies to address environmental challenges foster sustainability. HRM encompasses practices like recruitment, sustainability-focused training, performance management aligned with eco-friendly goals, while promotes environmentally conscious products services, enhancing brand trust. The highlights synergy between these concepts, showing how strengthens authenticity efforts. Case studies companies such Wipro, IKEA, Toyota demonstrate practical applications, innovative solutions, benefits, including employee engagement programs, gamification, KPIs. Challenges regulatory hurdles, resource constraints, cultural resistance are analyzed, alongside overcome them.

Language: Английский

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