Recent trends of green human resource management: Text mining and network analysis

Sharma, Chetan; Sakhuja, Sumit; Nijjer, Shivinder

doi:10.1007/s11356-022-21471-9

Cited by 35 publications

(21 citation statements)

References 83 publications

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“…It is easy to use and has many features that help researchers perform their experiments. For example, researchers can share their workflow for better insight (Dietz and Berthold, 2016; Sharma et al , 2022b). Vosviewer, an open-source software, is used for network analysis (Singh et al , 2023; Xie et al , 2020).…”

Section: Methodsmentioning

confidence: 99%

Industrial revolution and environmental sustainability: an analytical interpretation of research constituents in Industry 4.0

Malik

Sharma²,

Batra

et al. 2023

IJLSS

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Purpose Environmental sustainability is quickly becoming one of the most critical issues in industry development. This study aims to conduct a systematic literature review through which the author can provide various research areas to work on for future researchers and provide insight into Industry 4.0 and environmental sustainability. Design/methodology/approach This study accomplishes this by performing a backward analysis using text mining on the Scopus database. Latent semantic analysis (LSA) was used to analyze the corpus of 4,364 articles published between 2013 and 2023. The authors generated ten clusters using keywords in the industrial revolution and environmental sustainability domain, highlighting ten research avenues for further exploration. Findings In this study, three research questions discuss the role of environmental sustainability with Industry 4.0. The author predicted ten clusters treated as recent trends on which more insight is required from future researchers. The authors provided year-wise analysis, top authors, top countries, top sources and network analysis related to the topic. Finally, the study provided industrialization’s effect on environmental sustainability and the future aspect of automation. Research limitations/implications The reliability of the current study may be compromised, notwithstanding the size of the sample used. Poor retrieval of the literature corpus can be attributed to the limitations imposed by the search words, synonyms, string construction and variety of search engines used, as well as to the accurate exclusion of results for which the search string is insufficient. Originality/value This research is the first-ever study in which a natural language processing technique is implemented to predict future research areas based on the keywords–document relationship.

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Section: Methodsmentioning

confidence: 99%

Industrial revolution and environmental sustainability: an analytical interpretation of research constituents in Industry 4.0

Malik

Sharma²,

Batra

et al. 2023

IJLSS

Self Cite

View full text Add to dashboard Cite

show abstract

“…Green job ranking should be included in employee appraisals (Kapil, 2015). Sharma et al (2022) concluded in their study in the Indian context that green human resources have a connection with environmental sustainability. Though it is in a preliminary stage, lots of areas are required to explore to maintain ecological sustainability while focusing on performance factors, GI and ethical health benefits.…”

Section: Theoretical Background and Development Of Hypothesesmentioning

confidence: 99%

Green human resource management and environmental performance: mediating role of green innovation – a study from an emerging country

Rana

Arya

2023

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Purpose This study sought to determine the role of green human resource management (GHRM) in fostering employees' environmental performance (ENVP). This study aims to advance knowledge related to the role of firms’ GHRM activities in cultivating eco-responsible behaviors among employees, considering green innovation (GI) as a mediator. Design/methodology/approach For this study, data of 579 respondents were collected from employees working in the manufacturing industry in India. In all, 579 employees from the manufacturing sector in India participated in the study. The proposed model was tested using SMART PLS 3.3. Findings The findings of this study stated that GHRM was found significantly to predict ENVP in the Indian manufacturing industry, and GI exhibited partial mediation. This study emphasizes that GHRM activities carried out by firms encourage employees to engage in innovation to develop green products and find novel green operation processes to improve firms’ ENVP. Research limitations/implications As this study is limited to manufacturing organizations in India, the results of this study cannot be generalized; future studies may examine the proposed model in different contexts to generalize findings. Originality/value This study encourages policymakers to devise laws to enable organizations to implement GHRM practices. This study contributes to the existing literature on the environmental aspects of corporate social responsibility and environmental management. This study is one of the few attempts that seek to assess the relationship between GHRM, ENVP and GI in the Indian manufacturing industry. The contribution of this paper is significant to limit GHRM literature, as it empirically investigates the association between GHRM and ENVP.

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“…Also, Green transformational leadership connected to team resilience (Çop et al ., 2021), while considering team aspects. Organisational aspects that relate to the green transformational leadership includes corporate social responsibility (Tosun et al ., 2022), green development performance (Zhou et al ., 2018), green psychological climate (Zhou et al ., 2018), organisational support (Zhao and Huang, 2022), organisational performance (Kusi et al ., 2021), green human resource management practices (Chand and Nijjer, 2022; Sharma et al ., 2022; Arici and Uysal, 2022; Aboramadan et al ., 2022) etc. Connecting with resource based view, we consider green transformational leadership to act as a potential resource of the organisation who act as the custodian of inculcating the green aspects among the employees in the organisation, striving them to achieve higher performance and noble values, thus achieving competitive advantage (Singh et al ., 2021).…”

Section: Theoretical Background and Hypothesis Developmentmentioning

confidence: 99%

Promoting green employee behaviour from the lens of green transformational leadership

Lathabhavan,

Kaur

2023

LODJ

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PurposeThe present study intends to study the role of green transformational leadership in promoting green employee behaviour via green employee creativity. The study will draw its foundation from resource-based view and social exchange theory, thereby providing theoretical underpinning to explore the relationship between leadership, creativity and green behaviour.Design/methodology/approachA survey questionnaire was prepared to collect data to examine the relationship among the variables. Responses of 82 human resource (HR) managers and 488 employees of Indian Information Technology/Information Technology Enabled Services (IT/ITES) firms were used for the study. A 2-1-1 multi-level structural equation modelling (ML-SEM) was performed using Mplus version 8.6 software.FindingsThe study reveals significant and positive association for first three hypotheses, i.e. the direct relationship between green transformational leadership, green employee creativity and green employee behaviour. However, the fourth hypothesis is partially supported. Green employee creativity partially mediates the direct relationship between green transformational leadership and green employee behaviour.Originality/valueBy examining how green transformational leadership influences green employee behaviour through the interaction of creativity, the research offers a novel contribution to the field of sustainable organizational practices, enhancing the understanding of leadership, creativity and environmental commitment. The present research addresses pressing societal issues, contributes to more environmentally responsible practices and enhances the understanding of leadership and creativity in today's socially conscious world. Such a holistic examination of these interconnected factors can lead to actionable strategies for organizations to navigate the challenges of environmental responsibility in a rapidly changing world.

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Recent trends of green human resource management: Text mining and network analysis

Cited by 35 publications

References 83 publications

Industrial revolution and environmental sustainability: an analytical interpretation of research constituents in Industry 4.0

Industrial revolution and environmental sustainability: an analytical interpretation of research constituents in Industry 4.0

Green human resource management and environmental performance: mediating role of green innovation – a study from an emerging country

Promoting green employee behaviour from the lens of green transformational leadership

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