Assessing the barriers to integrating technological innovations in textiles sector: Implications towards sustainable production.
The paper discusses the barriers to integrating technological innovations in the textile sector, particularly in emerging economies. It utilizes a hybrid approach of Pareto analysis, fuzzy Total Interpretive Structural Modeling (TISM), and fuzzy Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis to identify and prioritize these barriers. The study highlights the lack of government support policies, insufficient incentives, heavy taxation, and inadequate capital investment as the most crucial barriers. The findings provide insights for policymakers and decision-makers in the textile industry to successfully integrate technological advancements and ensure a sustainable global textile supply chain.
Major Barriers: lack of government support policies, insufficient incentives, heavy taxation, and inadequate capital investment.
Methodologies used:
In the study, two methodologies were used to identify and analyze the barriers in the textile industry. Firstly, a literature review was conducted using databases such as Web of Science, Science Direct, Scopus, and Google Scholar. The search was conducted using specific key phrases related to challenges in applying technology in the industry, barriers faced by textile sectors due to COVID-19, and challenges affecting successful technology implementation initiatives during COVID-19. The identified barriers were then verified by industrial experts.
Secondly, a methodology called Fuzzy-TISM (Fuzzy Technique for Order Preference by Similarity to Ideal Solution) was applied to determine the hierarchical relationships between the barriers and to evaluate their dependence and driving power. Fuzzy-MICMAC (Fuzzy Matrice d'Impacts Croisés Multiplication Appliquée à un Classement) was used to assess the dependence and driving power of the barriers.
How do Fuzzy TISM & Fuzzy MICMAC work?
Fuzzy TISM (Fuzzy Technique for Order Preference by Similarity to Ideal Solution) is a methodology used for group decision-making. It extends the TISM (Technique for Order Preference by Similarity to Ideal Solution) method by incorporating fuzzy logic to handle uncertainty and ambiguity in decision-making. Fuzzy TISM evaluates the hierarchical relationships between barriers and determines their driving and dependent power. It provides a structured approach to understanding how one barrier influences another and helps in identifying the most influential barriers.
Fuzzy MICMAC (Fuzzy Matrice d'Impacts Croisés Multiplication Appliquée à un Classement) is a method used to assess the dependence and driving power of barriers. It analyzes the interrelationships between barriers and categorizes them into different domains based on their influence and dependence. Fuzzy MICMAC uses fuzzy scales to represent the strength of the relationships between barriers, providing more detailed information compared to the binary values used in traditional MICMAC analysis.
These methodologies, when combined, provide a comprehensive analysis of the barriers in the textile industry. Fuzzy TISM helps in understanding the hierarchical relationships between barriers and their driving and dependent power, while fuzzy MICMAC categorizes the barriers into different domains based on their influence and dependence. This combined approach allows policymakers and decision-makers to prioritize their efforts and allocate resources effectively to overcome the most influential barriers and promote technological advancements in the industry.
Implication:
The findings of this study can be utilized by policymakers and decision-makers in the textile industry in several ways.
Firstly, the analytical framework and findings can be used to develop essential policies that promote long-term sustainable productivity, taking into account the challenges identified in adopting technological advancements.
Policymakers can use the insights from this study to address the specific barriers identified in the textile industry.
By understanding the interconnections and driving power of these barriers, policymakers can prioritize their efforts and allocate resources effectively to tackle the most influential barriers. This can lead to more targeted interventions and strategies to overcome the challenges and promote technological advancements in the industry.
Overall, the study provides a comprehensive understanding of the barriers to adopting technological advancements in the textile industry and offers valuable insights for policymakers and decision-makers to develop strategies and policies that support sustainable productivity and innovation in the industry.
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