The Role of Green Attributes in Production Processes as Well as Their Impact on Operational, Commercial, and Economic Benefits

Mendoza-Fong, José Roberto; Alcaráz, Jorge Luis García; Díaz-Reza, José Roberto; Jiménez‐Macías, Emilio; Blanco‐Fernández, Julio

doi:10.3390/su11051294

Cited by 12 publications

(11 citation statements)

References 74 publications

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“…Referring to table 2, the significant barriers to GM were: -Short term costs, low level of demand, technological problems, firm's awareness, poor enforcement, uncertain benefits. Similar studies which come out with the same results were (Ariffin et al, 2015;Gandhi et al, 2018;Kumar & Singh, 2014;Mendoza-fong et al, 2019) Short term costs (Costs) were found to be significantly determining the application of GM at 1% significance level. A movement from the category of firms which do not perceive short term costs as barriers to GM to the ones which perceive short term costs as a barrier to GM, it decreases the probability of a firm to apply GM by 64.8% Holding other variable at their means.…”

Section: Barriers To Green Manufacturingsupporting

confidence: 74%

“…The GM paradigm helps to minimize the environmental impact of manufacturing processes and ensures improvement in pollution control, reduction in consumption of natural resources and produces a green brand image, (Barzegar, Rasi, & Niknamfar, 2018;Gandhi et al, 2018). Specifically, some of the ascertained benefits of implementing GM among others include; reducing waste through efficient use of energy and raw materials, enhancing productivity and increasing product yield through greater efficiency, increasing profitability and quality of products, reducing the risks of environmental accidents and avoiding regulatory compliance costs leading to insurance saving, (Mendoza-fong et al, 2019). Other studies which have confirmed the benefits of GM among others include:- Abdullah et al, 2015;Baines et al, 2013;Belekar, 2017. Practicing GM among both small and large manufacturers has been influenced by a number of drivers and barriers.…”

Section: Background Of the Studymentioning

confidence: 99%

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Towards Industrialisation in Tanzania: Drivers and Barriers to Green Manufacturing

Tumaini

2021

Eur. j., econ.

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For the industrialization efforts to be fruitful and sustainable, they should be coupled with Green Manufacturing (GM) which simply implies clean manufacturing. This study analyses the drivers and barriers to GM in Tanzania. It specifically analyses the drivers and barriers to GM and ranks them for prioritisation. The study made the use of cross-sectional primary data which were collected using interviewer administered questionnaires from a random sample of 185 manufacturing firms in two purposively selected regions of Dodoma and Mwanza in Tanzania. In the analysis, the Binary Logistic regression was used to estimate the drivers and barriers to GM using the STATA software. The results showed that some of the significant drivers to green manufacturing include; firm size, firms resources, current legislation, incentives, and public pressure, The significant barriers included high short term costs, low customer demand, technological risk, lack of awareness and unclear benefits. It was also found that the highest ranked driver to GM was the firm size and the highest ranked barrier to GM was the short term costs. The study finally recommends that the relevant authorities should prioritize on the significant drivers and barriers to GM so that the move towards industrialisation in Tanzania can be more fruitful and sustainable.

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Section: Barriers To Green Manufacturingsupporting

confidence: 74%

Section: Background Of the Studymentioning

confidence: 99%

Towards Industrialisation in Tanzania: Drivers and Barriers to Green Manufacturing

Tumaini

2021

Eur. j., econ.

View full text Add to dashboard Cite

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“…Other researchers have emphasized the significance of the development process, management system, organization, motivation, and competencies (Awan et al, 2021; Bhatia, 2021; Chen et al, 2020). Furthermore, authors have linked Industry 4.0 and sustainability benefits to fully use green processes to meet sustainability objectives (Asiimwe & de Kock, 2019; Mendoza‐Fong et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Design for the environment: An ontology‐based knowledge management model for green product development

et al. 2021

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Through appropriate operations and policies, such as green processes and product development process (PDP), companies can respond to environmental sustainability.To remain competitive, one such approach, Design for X (DFX), involves considering different environment and sustainable strategies through different factors Xs. With regard to the availability of different DFX techniques that consider environmental issues, the decision as to which approach needs to be adopted remains absent. This paper aims at presenting an overview from 1980 to 2020 of the developed research, applications, and DFX techniques for assessing green issues. Selected DFX techniques are linked with strategies used in organizations. Following a literature analysis, a collaborative knowledge-based framework that addresses the design concepts needed to assess environmental, safety, and health concerns in the development of green products is proposed. Furthermore, as a pillar for considering the Semantic Web and an evolving approach linked with natural language processing (NLP) and artificial intelligence (AI), an ontology-based knowledge management model for green assessment is developed for the representation, acquisition, organization, and capitalization of knowledge in a computer interpretable manner. The findings are useful for both managers and practitioners as they provide a coherent domain ontology that can help them manage knowledge, improve teamwork, and make decisions in a collaborative green PDP. Besides, an understanding of the essential design considerations that are required to implement environmental, safety, and health issues, as well as competencies used in the PDP is presented. Key barriers, managerial and strategic implications, and mitigation actions are also identified in this paper.

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“…Mendoza-Fong et al [23] determined 24 attributes of green processes which determine the level of the green manufacturing implementation. These attributes include processes themselves, which support the sustainability benefits of green processes.…”

Section: Green Processes and Technologies Classification Discussionmentioning

confidence: 99%

Sustainability Outcomes of Green Processes in Relation to Industry 4.0 in Manufacturing: Systematic Review

et al. 2020

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Green processes are very important for the implementation of green technologies in production to achieve positive sustainability outcomes in the Industry 4.0 era. The scope of the paper is to review how conventional green processes as a part of Industry 4.0 provide sustainability outcomes in manufacturing. The paper is based on the methodology of systematic literature review through the content analysis of literary resources. Twenty-nine studies were included in our content analysis. The results show the main focus of current literature related to Industry 4.0, sustainability outcomes and green processes. The authors present a conceptual Sustainability Green Industry 4.0 (SGI 4.0) framework that helps to structure and evaluate conventional green processes in relation to Industry 4.0 and sustainability. The study summarizes which technologies (big data, cyber-physical systems, Industrial Internet of Things and smart systems) and green processes (logistics, manufacturing and product design) are important for achieving a higher level of sustainability. The authors found that the most often common sustainability outcomes are energy saving, emission reduction, resource optimalization, cost reduction, productivity and efficiency and higher economic performance, human resources development, social welfare and workplace safety. The study suggests implications for practice, knowledge and future research.

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The Role of Green Attributes in Production Processes as Well as Their Impact on Operational, Commercial, and Economic Benefits

Cited by 12 publications

References 74 publications

Towards Industrialisation in Tanzania: Drivers and Barriers to Green Manufacturing

Towards Industrialisation in Tanzania: Drivers and Barriers to Green Manufacturing

Design for the environment: An ontology‐based knowledge management model for green product development

Sustainability Outcomes of Green Processes in Relation to Industry 4.0 in Manufacturing: Systematic Review

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