The Inclusive Analysis of Green Technology Implementation Effect on Employee Knowledge, Health, Job Opportunities in the Production Houses

Alam, Sajjad; Zhang, Jianhua; Hussain, Jafar; Shahzad, Muhammad Usman; Ali, Ahmad Fahme Mohd

doi:10.1007/s13132-022-01067-x

Cited by 10 publications

(5 citation statements)

References 32 publications

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“…As indicated in prior literature, employees play a significant role in accumulating information to appropriately utilize resources in the GT environment (Maravilhas and Martins, 2019; Alam et al ., 2022a). In this linking, our study support hypotheses (H4a, H4b and H4c); the supply process identifies the regular information to determine the employee's needs and feelings about the existing process.…”

Section: Resultsmentioning

confidence: 99%

“…With global environmental fluctuations, manufacturing firms implement green technologies (GT) toward sustainable environments and maintain a competitive supply market. GT is associated with minimizing environmental damage to improve manufacturing performance (Alam et al ., 2022a). Adopting green technologies in supply houses improves environmental and financial performance (Zimon et al ., 2020).…”

Section: Introductionmentioning

confidence: 99%

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Mediation approach of knowledge management process towards supply chain performance under green technology: an empirical analysis

Alam¹,

Zhang²,

Shehzad³

et al. 2023

BPMJ

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PurposeEmployee knowledge is an essential contributor to managing supply chain ambiguities and supply improvement. The current research examined green technology (GT) implementation and knowledge management (KM) processes toward knowledge worker supply performance (KWSP). The present study postulates that GT implementation's positive impacts on the KM process and KM process lead to improved KWSP based on employee knowledge contribution.Design/methodology/approachTo accomplish the research objective, the data were taken from those production houses that are utilizing GT. A total of 400 questionnaires were distributed in Zhengzhou city, and feedback was received (343). The feedback data were studied through partial least squares-structural equation modelling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA). fsQCA is used to analyze improving the multiple configurational paths of KWSP.FindingsThe study revealed that GT implementation is positively associated with the KM process, and KM processes substantially influence the improvement of KWSP. The consequence of fsQCA demonstrated that various combinations improve supply chain performance. The study combines certain dimensions of GT implementation with the KM process, revealing that supply chain performance improved based on knowledge sharing in manufacturing firms.Research limitations/implicationsThis study guides decision-makers and academics on using the knowledge process associated with GT to improve supply chain performance. Moreover, future researchers should use information technology in supply houses and compare the result with the literature to generalize the results better.Originality/valueThe asymmetric technique assists in differentiating the connections that are not directly investigated by the traditional symmetric method. The study covers and identifies various approaches that can be used in manufacturing firms to improve the supply chain process and employee satisfaction. The study combines the two techniques to understand supply performance based on knowledge sharing in manufacturing firms.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mediation approach of knowledge management process towards supply chain performance under green technology: an empirical analysis

Alam¹,

Zhang²,

Shehzad³

et al. 2023

BPMJ

Self Cite

View full text Add to dashboard Cite

show abstract

“…This study extends our understanding of GEO, GP, ambidextrous GI, and ROC in the manufacturing industry. First, drawing from the NRBV, this study underscores the pivotal role of resources in enhancing organizational capabilities and securing a competitive edge, a concept widely endorsed yet insufficiently explored within the context of GP and their precursors (Usman Shehzad et al ., 2022; Mao et al ., 2016; Alam et al ., 2022). Despite the acknowledgment of GP as a crucial element in environmental management, the researchers dialogue remains nascent, with a scant body of literature addressing this domain (Abbas, 2020; Zhang et al ., 2019).…”

Section: Discussionmentioning

confidence: 99%

Linking green entrepreneurial orientation and ambidextrous green innovation to stimulate green performance: a moderated mediation approach

Baquero

2024

BPMJ

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PurposeIn view of the significance of intangible organizational resources and firm sustainability, this study investigates the mediating role of ambidextrous green innovation and the moderating effects of resource orchestration capability in the relationship between green entrepreneurial orientation and green performance.Design/methodology/approachThe research employed a quantitative analysis technique using hierarchical linear regression and a moderated mediation approach on a sample of 409 managers from UAE manufacturing firms to investigate the proposed relationships among the variables.FindingsThe research results show that a firm’s green performance is influenced by its green entrepreneurial orientation. Green innovation, both exploratory and exploitative, mediates the link between green entrepreneurial orientation and green performance. Moreover, the association between green entrepreneurial orientation and exploitative green innovation, as well as between exploitative green innovation and a firm's green performance, is strengthened by resource orchestration capability. The findings of the moderated mediation show that when resource orchestration capacity is high, exploitative green innovation has a greater mediating effect on green entrepreneurial orientation and green performance.Practical implicationsThis study provides valuable insights for manufacturing firms to achieve sustainable performance and reduce their environmental impact. Firms should adopt proactive environmental strategies and innovative approaches to achieve sustainable green performance by adopting green entrepreneurship and establishing ambidextrous green innovation.Originality/valueThis study contributes to the literature on GEO, ambidextrous green innovation, resource orchestration capability, and green performance. These results provide insight into fostering green innovation in the manufacturing industry, deepen the theoretical foundation for green entrepreneurship, and advance the field of green entrepreneurship study.

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“…Third, the digital economy facilitates the development of data infrastructure, including big data, cloud computing and artificial intelligence, leading to improved allocation of human resources and optimized talent teams (Nguyen, 2023). This not only reduces excessive dependence on labor, resulting in cost savings and reduced resource consumption (Zhang and Chen, 2023) but also attracts highly skilled digital talents and harnesses their potential (Alam et al, 2022;Nair, 2019). Furthermore, it enables enterprises to enhance the quality of industrial green products, thereby enhancing the efficiency of industrial green innovation.…”

Section: Digital Economy and Industrial Green Innovation Efficiencymentioning

confidence: 99%

The relationship between digital economy and industrial green innovation efficiency – based on the perspective of external knowledge sources

Liao,

Hou,

et al. 2024

JKM

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Purpose Driven by the development of the global digital economy, knowledge management in industrial enterprises offers more possibilities for green innovation. Based on the perspective of external knowledge sources, this study aims to construct a panel regression model to explore the relationship between digital economy and industrial green innovation efficiency. Design/methodology/approach Panel data from 30 regions in China from 2011 to 2020 were selected as research samples. All data are obtained from national and provincial statistical yearbooks. Coupling coordination degree analysis, entropy method, panel regression analysis, robustness test and threshold effect test by Stata 16.0 were used to test the hypotheses. Findings The empirical results demonstrate the hypotheses and reveal the following findings: the digital economy is positively related to industrial green innovation efficiency and external knowledge sources, and external knowledge sources mediate the relationship between them. Moreover, based on the threshold test results, the digital economy has a double-threshold effect on industrial green innovation efficiency. Originality/value Based on the perspective of external knowledge sources, the proposed mediating mechanism between the digital economy and industrial green innovation efficiency has not been established previously, further enriching the research on the antecedents and outcomes of external knowledge sources. Moreover, this study estimated the direct influence mechanism and double-threshold effect of the digital economy on industrial green innovation efficiency from theoretical and empirical analysis, thus responding to the call of scholars and adding to existing research on how the digital economy affects the green transformation of industrial enterprises.

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The Inclusive Analysis of Green Technology Implementation Effect on Employee Knowledge, Health, Job Opportunities in the Production Houses

Cited by 10 publications

References 32 publications

Mediation approach of knowledge management process towards supply chain performance under green technology: an empirical analysis

Mediation approach of knowledge management process towards supply chain performance under green technology: an empirical analysis

Linking green entrepreneurial orientation and ambidextrous green innovation to stimulate green performance: a moderated mediation approach

The relationship between digital economy and industrial green innovation efficiency – based on the perspective of external knowledge sources

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